In October 2014, the World Bank launched the new Quarterly External Debt Statistics (QEDS) SDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS SDDS database provides detailed external debt data starting from 1998Q1. Data are published individually by countries that subscribe to the IMF's Special Data Dissemination Standard (SDDS), as well as, GDDS participating countries that are in a position to produce the external debt data prescribed by the SDDS.

External Blu Ray Drives Market Outlook

The global external Blu Ray drives market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 2.1 billion by 2032, growing at a CAGR of 6.1% during the forecast period. This robust growth trajectory can be attributed to the rising demand for high-definition content among consumers and the need for large data storage solutions. The increasing penetration of Blu Ray technology in various applications, such as gaming, movie production, and data storage, is driving market expansion.

One of the primary growth factors of the external Blu Ray drives market is the surge in high-definition content consumption. With the advent of 4K and 8K video resolutions, consumers are increasingly seeking devices that can support these formats, leading to a higher demand for Blu Ray drives. Furthermore, the growing popularity of Ultra-HD Blu Ray discs, which offer superior picture and sound quality, is further propelling market growth. Additionally, the gaming industryÂ’s shift towards higher graphic and storage-intensive games is creating a substantial demand for robust storage solutions like Blu Ray drives.

Another significant growth driver is the rise in data storage needs across various sectors. Companies and individuals alike are generating enormous amounts of data, necessitating reliable and large-capacity storage solutions. Blu Ray discs, known for their durability and large storage capacity, are becoming increasingly popular in data archiving and backup, particularly in sectors such as healthcare, finance, and media. The growing awareness of data security and the need for physical storage mediums that are less susceptible to cyber threats are also contributing to the market's growth.

Technological advancements in Blu Ray drive connectivity and portability are playing a crucial role in market expansion. The introduction of high-speed interfaces like USB 3.0, USB-C, and Thunderbolt has significantly improved data transfer rates, making Blu Ray drives more efficient and user-friendly. Moreover, the development of compact and lightweight portable Blu Ray drives has enhanced their convenience and appeal to both personal and commercial users. These advancements are expected to continue driving the market forward.

From a regional perspective, North America is anticipated to dominate the external Blu Ray drives market during the forecast period. The region's strong presence of key market players, high consumer spending on advanced technologies, and the growing entertainment and gaming industry are major factors supporting its market leadership. Meanwhile, the Asia Pacific region is expected to exhibit the highest growth rate, driven by rising consumer electronics adoption, increasing disposable incomes, and expanding digital infrastructure in countries like China, India, and Japan.

While external Blu Ray drives continue to gain traction in the market, Internal Optical Drives still hold a significant place in the data storage ecosystem. These drives are integral components of many desktop computers and are favored for their ability to read and write data at high speeds without the need for external connections. The convenience of having an internal drive that seamlessly integrates with the computer's system makes them a preferred choice for users who require frequent access to optical media. Moreover, internal drives often offer enhanced performance and reliability, as they are less susceptible to physical damage compared to their external counterparts.

Product Type Analysis

The external Blu Ray drives market is segmented into portable and desktop types. Portable Blu Ray drives are gaining significant traction due to their compact size, lightweight design, and ease of use. These drives are particularly favored by individuals who require high-definition media playback and data storage on the go. The increasing popularity of laptops and other portable computing devices is further boosting the demand for portable Blu Ray drives. Their convenience and efficiency make them an ideal choice for personal use, students, and professionals who need reliable storage solutions while traveling.

On the other hand, desktop Blu Ray drives continue to hold a substantial market share due to their higher capacity and better performance. These drives are typically integrated into home entertainment systems, gaming setups, and office environments where larg

In April 2011 a new set of clinical quality indicators was introduced to replace the previous four hour waiting time standard, and measure the quality of care delivered in A&E departments in England. Further details on the background and management of the quality indicators are available from the Department of Health (DH) website. This is the ninth publication of data on the Accident and Emergency (A&E) clinical quality indicators, drawn from A&E data within provisional Hospital Episode Statistics (HES). These data relate to A&E attendances in December 2011 and draw on 1.36 million detailed records of attendances at major A&E departments, single speciality A&E departments (e.g. dental A&Es), minor injury units and walk-in centres in England. This report sets out data coverage, data quality and performance information for the following five A&E indicators: Left department before being seen for treatment rate Re-attendance rate Time to initial assessment Time to treatment Total time in A&E Publishing these data will help share information on the quality of care of A&E services to stimulate the discussion and debate between patients, clinicians, providers and commissioners, which is needed in a culture of continuous improvement. These A&E HES data are published as experimental statistics to note the shortfalls in the quality and coverage of records submitted via the A&E commissioning data set. The data used in these reports are sourced from Provisional A&E HES data, and as such these data may differ to information extracted directly from Secondary Uses Service (SUS) data, or data extracted directly from local patient administration systems. Provisional HES data may be revised throughout the year (for example, activity data for April 2011 may differ depending on whether they are extracted in August 2011, or later in the year). Indicator data published for earlier months have not been revised using updated HES data extracted in subsequent months. The data presented here represent the output of the existing A&E Commissioning Dataset (CDS V6 Type 010). It must be recognised that these data will not exactly match the data definitions for the A&E clinical quality indicators set out in the guidance document A&E clinical quality indicators: Implementation guidance and data definitions (external link). The DH is currently working with Information Standards Board to amend the existing CDS Type 10 Accident and Emergency to collect the data required to monitor the A&E indicators. A&E HES data are collected and published by the NHS Information Centre for Health and Social Care. The data in this report are secondary analyses of HES data produced by the Urgent & Emergency Care team, Department of Health. A&E HES data are published as experimental statistics to note the known shortfalls in the quality of some A&E HES data elements. The published information sets out where data quality for the indicators may be improved by, for example, reducing the number of unknown values (e.g. unknown times to initial assessment) and default values (e.g. the number of attendances that are automatically given a time to initial assessment of midnight 00:00). The quality and coverage of A&E HES data have considerably improved over the years, and the Department and the NHS Information Centre are working with NHS Performance and Information directors to further improve the data. Note: This information is secondary analysis of HES data that have been produced by the Urgent & Emergency Care team in the Department of Health. Questions should be forward to the mailbox of the Urgent & Emergency Care team at the Department of Health urgent&emergencycare@dh.gsi.gov.uk . Revisions Policy: Please note, Provisional HES data may be revised throughout the year (for example data will differ depending on the time at which they were extracted). Indicator data published for earlier months will not be revised using updated HES data extracted in subsequent months.

AN EXECUTIVE ORDERCREATING AN OPEN DATA PLAN. WHEREAS, Metro Government is the catalyst for creating a world-class city that provides its citizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovation, and a high quality of life; andWHEREAS, it should be easy to do business with Metro Government. Online government interactions mean more convenient services for citizens and businesses and online government interactions improve the cost effectiveness and accuracy of government operations; andWHEREAS, an open government also makes certain that every aspect of the built environment also has reliable digital descriptions available to citizens and entrepreneurs for deep engagement mediated by smart devices; andWHEREAS, every citizen has the right to prompt, efficient service from Metro Government; andWHEREAS, the adoption of open standards improves transparency, access to public information and improved coordination and efficiencies among Departments and partner organizations across the public, nonprofit and private sectors; andWHEREAS, by publishing structured standardized data in machine readable formats the Louisville Metro Government seeks to encourage the local software community to develop software applications and tools to collect, organize, and share public record data in new and innovative ways; andWHEREAS, in commitment to the spirit of Open Government, Louisville Metro Government will consider public information to be open by default and will proactively publish data and data containing information, consistent with the Kentucky Open Meetings and Open Records Act; andNOW, THEREFORE, BE IT PROMULGATED BY EXECUTIVE ORDER OF THE HONORABLE GREG FISCHER, MAYOR OF LOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:Section 1. Definitions. As used in this Executive Order, the terms below shall have the following definitions:(A) “Open Data” means any public record as defined by the Kentucky Open Records Act, which could be made available online using Open Format data, as well as best practice Open Data structures and formats when possible. Open Data is not information that is treated exempt under KRS 61.878 by Metro Government.(B) “Open Data Report” is the annual report of the Open Data Management Team, which shall (i) summarize and comment on the state of Open Data availability in Metro Government Departments from the previous year; (ii) provide a plan for the next year to improve online public access to Open Data and maintain data quality. The Open Data Management Team shall present an initial Open Data Report to the Mayor within 180 days of this Executive Order.(C) “Open Format” is any widely accepted, nonproprietary, platform-independent, machine-readable method for formatting data, which permits automated processing of such data and is accessible to external search capabilities.(D) “Open Data Portal” means the Internet site established and maintained by or on behalf of Metro Government, located at portal.louisvilleky.gov/service/data or its successor website.(E) “Open Data Management Team” means a group consisting of representatives from each Department within Metro Government and chaired by the Chief Information Officer (CIO) that is responsible for coordinating implementation of an Open Data Policy and creating the Open Data Report.(F) “Department” means any Metro Government department, office, administrative unit, commission, board, advisory committee, or other division of Metro Government within the official jurisdiction of the executive branch.Section 2. Open Data Portal.(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by Metro Government(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an Open Format.Section 3. Open Data Management Team.(A) The Chief Information Officer (CIO) of Louisville Metro Government will work with the head of each Department to identify a Data Coordinator in each Department. Data Coordinators will serve as members of an Open Data Management Team facilitated by the CIO and Metro Technology Services. The Open Data Management Team will work to establish a robust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data management policy that will adopt prevailing Open Format standards for Open Data, and develop agreements with regional partners to publish and maintain Open Data that is open and freely available while respecting exemptions allowed by the Kentucky Open Records Act or other federal or state law.Section 4. Department Open Data Catalogue.(A) Each Department shall be responsible for creating an Open Data catalogue, which will include comprehensive inventories of information possessed and/or managed by the Department.(B) Each Department’s Open Data catalogue will classify information holdings as currently “public” or “not yet public”; Departments will work with Metro Technology Services to develop strategies and timelines for publishing open data containing information in a way that is complete, reliable, and has a high level of detail.Section 5. Open Data Report and Policy Review.(A) Within one year of the effective date of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.(B) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy should be reviewed and considered for revisions or additions that will continue to position Metro Government as a leader on issues of openness, efficiency, and technical best practices.Section 6. This Executive Order shall take effect as of October 11, 2013.Signed this 11th day of October, 2013, by Greg Fischer, Mayor of Louisville/Jefferson County Metro Government.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The Collaborative Australian Protected Areas Database (CAPAD) 2010 provides both spatial and text information about government, Indigenous and privately protected areas for continental Australia. State and Territory conservation agencies supplied data current for various dates between June 2010 and January 2011. This is the eighth version of the database, with previous versions released in 1997, 1999, 2000, 2002, 2004, 2006 and 2008. CAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area:

"A protected area is an area of land and/or sea especially dedicated to the protection and maintenance of biological diversity, and of natural and associated cultural resources, and managed through legal or other effective means" (IUCN 1994).

The department publishes a summary of the CAPAD data biannually on its website at http://www.environment.gov.au/parks/nrs/science/capad/index.html.

Purpose

This version of CAPAD 2010 is for USE BY NON-COMMERCIAL USERS ONLY. It contains all data supplied by Victoria and South Australian Forests data. It is available for non-commercial use by agreeing to the license conditions. If commercial use is sought an approach needs to be made to the individual data suppliers. CAPAD 2010 - restricted spatial data is available for password protected download from the Discover Information Geographically (DIG) website: http://www.environment.gov.au/metadataexplorer/explorer.jsp.

See metadata document CAPAD2010restrictedMetadata.htm stored with the data for a list of the Main attributes in the database.

Dataset History

The Collaborative Australian Protected Areas Database (CAPAD) 2010 provides both spatial and text information about government, Indigenous, private and jointly managed protected areas for continental Australia. State and Territory conservation agencies supplied data current for various dates between July 2010 and January 2011. This is the seventh version of the database, with previous versions released in 1997, 1999, 2000, 2002, 2004, 2006 and 2008. CAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area.

Dataset Citation

"Department of Sustainability, Environment, Water, Population and Communities" (2013) Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted. Bioregional Assessment Source Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/47312aee-722e-4c6e-bef8-9e439480503e.

Achieving a net zero carbon has been one of the main agendas for all state and non-state actors. The political system of developing countries sometimes makes both internal and external actors question their efforts toward the agenda. Therefore, this study contributes to previous literature in analyzing the empirical effect of financial development and governance quality on carbon emissions. The study covers sixteen West African countries with data from 1996 to 2021. The study employs the Generalized Method of Moments for the analysis. Financial development in all the models contributes to carbon emissions. However, the effect of governance quality indicators varies depending on the model and the indicator(s) used. Nevertheless, economic governance and political governance in most models contribute to environmental pollution, but institutional governance helps promote environmental quality. Renewable energy and economic growth promote environmental quality through carbon mitigation. However, trade openness promotes environmental pollution by encouraging the release of carbon emissions. Finally, relevant policy implications are proposed based on the empirical findings of the study.

1. About the Dataset:

Description: Dive into the world of college placements with this dataset designed to unravel the factors influencing student placement outcomes. The dataset comprises crucial parameters such as IQ scores, CGPA (Cumulative Grade Point Average), and placement status. Aspiring data scientists, researchers, and enthusiasts can leverage this dataset to uncover patterns and insights that contribute to a deeper understanding of successful college placements.

2. Projects Ideas:

Project Idea 1: Predictive Modeling for College Placements Utilize machine learning algorithms to build a predictive model that forecasts a student's likelihood of placement based on their IQ scores and CGPA. Evaluate and compare the effectiveness of different algorithms to enhance prediction accuracy.

Project Idea 2: Feature Importance Analysis Conduct a feature importance analysis to identify the key factors that significantly influence placement outcomes. Gain insights into whether IQ, CGPA, or a combination of both plays a more dominant role in determining success.

Project Idea 3: Clustering Analysis of Placement Trends Apply clustering techniques to group students based on their placement outcomes. Explore whether distinct clusters emerge, shedding light on common characteristics or trends among students who secure placements.

Project Idea 4: Correlation Analysis with External Factors Investigate the correlation between the provided data (IQ, CGPA, placement) and external factors such as internship experience, extracurricular activities, or industry demand. Assess how these external factors may complement or influence placement success.

Project Idea 5: Visualization of Placement Dynamics Over Time Create dynamic visualizations to illustrate how placement trends evolve over time. Analyze trends, patterns, and fluctuations in placement rates to identify potential cyclical or seasonal influences on student placements.

3. Columns Explanation:

• IQ:

  • Definition: Intelligence Quotient, a measure of a person's intellectual abilities.
  • Data Type: Numeric
  • Range: Typically, IQ scores range from 70 to 130, with 100 being the average.

• CGPA:

  • Definition: Cumulative Grade Point Average, a measure of a student's overall academic performance.
  • Data Type: Numeric
  • Range: Typically, CGPA is on a scale of 0 to 4, with 4 being the highest possible score.

• Placement:

  • Definition: Binary variable indicating whether a student secured a placement (1) or not (0).
  • Data Type: Categorical (Binary)
  • Values: 1 (Placement secured) or 0 (No placement).

These columns collectively provide a comprehensive snapshot of a student's intellectual abilities, academic performance, and their success in securing a placement. Analyzing this dataset can offer valuable insights into the dynamics of college placements and inform strategies for optimizing student outcomes.

Introduction

Training.gov.au (TGA) is the National Register of Vocational Education and Training in Australia and contains authoritative information about Registered Training Organisations (RTOs), Nationally Recognised Training (NRT) and the approved scope of each RTO to deliver NRT as required in national and jurisdictional legislation.

TGA web-services overview

TGA has a web service available to allow external systems to access and utilise information stored in TGA through an external system. The TGA web service is exposed through a single interface and web service users are assigned a data reader role which will apply to all data stored in the TGA.

The web service can be broadly split into three categories:

1. RTOs and other organisation types;

2. Training components including Accredited courses, Accredited course Modules Training Packages, Qualifications, Skill Sets and Units of Competency;

3. System metadata including static data and statistical classifications.

Users will gain access to the TGA web service by first passing a user name and password through to the web server. The web server will then authenticate the user against the TGA security provider before passing the request to the application that supplies the web services.

There are two web services environments:

1. Production - ws.training.gov.au – National Register production web services

2. Sandbox - ws.sandbox.training.gov.au – National Register sandbox web services.

The National Register sandbox web service is used to test against the current version of the web services where the functionality will be identical to the current production release. The web service definition and schema of the National Register sandbox database will also be identical to that of production release at any given point in time. The National Register sandbox database will be cleared down at regular intervals and realigned with the National Register production environment.

Each environment has three configured services:

1. Organisation Service;

2. Training Component Service; and

3. Classification Service.

Sandbox environment access

To access the download area for web services, navigate to http://tga.hsd.com.au and use the below name and password:

Username: WebService.Read (case sensitive)

Password: Asdf098 (case sensitive)

This download area contains various versions of the following artefacts that you may find useful

• Training.gov.au web service specification document;

• Training.gov.au logical data model and definitions document;

• .NET web service SDK sample app (with source code);

• Java sample client (with source code);

• How to setup web service client in VS 2010 video; and

• Web services WSDL's and XSD's.

For the business areas, the specification/definition documents and the sample application is a good place to start while the IT areas will find the sample source code and the video useful to start developing against the TGA web services.

The web services Sandbox end point is: https://ws.sandbox.training.gov.au/Deewr.Tga.Webservices

Production web service access

Once you are ready to access the production web service, please email the TGA team at tgaproject@education.gov.au to obtain a unique user name and password.

External Hard Disk Market Outlook

The global external hard disk market size was valued at USD 7.5 billion in 2023 and is projected to reach USD 14.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.5% during the forecast period. This robust growth is driven by increasing data creation and storage needs across personal, commercial, and industrial sectors, alongside the exponential rise in digital content consumption.

One of the primary growth factors for the external hard disk market is the escalating volume of digital data generated globally. With the proliferation of high-definition video content, extensive use of social media, and the massive adoption of cloud computing, the demand for substantial and reliable storage solutions has surged. External hard disks provide a cost-effective solution for data backup and storage, catering to both individual and enterprise needs. Additionally, the growing number of remote workers and the need for portable, secure storage solutions are further fueling the market expansion.

Technological advancements in external hard disk drives (HDDs) are also contributing significantly to market growth. Innovations such as faster data transfer rates through interfaces like USB 3.0, USB-C, and Thunderbolt, as well as increased storage capacities, have enhanced the appeal of external HDDs. Furthermore, the integration of encryption and security features provides users with additional layers of data protection, thus meeting the needs of security-conscious consumers and businesses. As data breaches and cyber threats become more prevalent, the demand for secure storage solutions is poised to rise, boosting the market growth.

The declining cost of storage per gigabyte is another crucial factor fostering market growth. As technology advances, the production costs of HDDs have decreased, making large-capacity external hard drives more affordable. This price reduction has democratized access to high-capacity storage, which was previously limited to large enterprises and tech enthusiasts. Consequently, a broader consumer base, including small and medium-sized enterprises (SMEs) and individual users, is now able to invest in external hard disks, contributing to market expansion.

Regionally, North America and Europe have been leading the market, owing to the high adoption rates of advanced technologies and the presence of significant market players. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid industrialization, the expansion of the IT sector, and increasing digitalization initiatives by governments. Emerging economies such as China and India are seeing substantial investments in IT infrastructure, which is expected to propel the demand for external hard disks in this region.

Storage Capacity Analysis

The external hard disk market by storage capacity is categorized into three segments: Up to 1TB, 1TB-5TB, and Above 5TB. The 'Up to 1TB' segment caters primarily to personal users and small businesses that require minimal storage for basic data backup and transfer needs. These drives are highly portable, affordable, and sufficient for everyday use, such as storing documents, photos, and a limited number of videos. The ease of use and plug-and-play functionality of these drives make them popular among non-tech-savvy consumers.

The '1TB-5TB' segment serves a broader audience, including personal users who require more extensive storage solutions as well as small to medium-sized enterprises (SMEs). This segment is experiencing significant growth as the storage needs for high-definition video content, software applications, and large file transfers increase. External hard disks in this range strike a balance between price and capacity, offering substantial storage without breaking the bank. They are also commonly used for creating backups of entire systems, making them a vital component of data management strategies for many businesses.

The 'Above 5TB' segment is generally targeted towards enterprises, professionals, and industries with massive data storage requirements. These high-capacity drives are essential for sectors such as media and entertainment, research, and healthcare, where large volumes of data are generated and stored regularly. The ability to store vast amounts of data on a single drive reduces the complexity and cost associated with managing multiple storage devices. Additionally, these drives often come with advanced features such as faster data transfer rates and enhance

The Collaborative Australian Protected Areas Database (CAPAD) 2010 provides both spatial and text information about government, Indigenous and privately protected areas for continental Australia. …Show full descriptionThe Collaborative Australian Protected Areas Database (CAPAD) 2010 provides both spatial and text information about government, Indigenous and privately protected areas for continental Australia. State and Territory conservation agencies supplied data current for various dates between June 2010 and January 2011. This is the eighth version of the database, with previous versions released in 1997, 1999, 2000, 2002, 2004, 2006 and 2008. CAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area: "A protected area is an area of land and/or sea especially dedicated to the protection and maintenance of biological diversity, and of natural and associated cultural resources, and managed through legal or other effective means" (IUCN 1994). The department publishes a summary of the CAPAD data biannually on its website at http://www.environment.gov.au/parks/nrs/science/capad/index.html. This version of CAPAD contains Commonwealth data and all data supplied by ACT, NSW, WA, NT, QLD, TAS and some SA data. SA Forests data and all data supplied by VIC can be found in the CAPAD 2010 - restricted dataset (available for non-commercial users only). CAPAD 2010 - external spatial data is available for download from the Discover Information Geographically (DIG) website: http://www.environment.gov.au/metadataexplorer/explorer.jsp. Main attributes in the database include: PA_ID: The protected area ID code. Created from RES_NUMBER if unique, otherwise it is a DSEWPaC generated number. NAME: the name of the protected area. Gazetted PAs with no name are flagged as "Unnamed" with a reserve number. TYPE: the type of protected area according to the protected area establishment mechanism. TYPE_ABBR: the abbreviation of the TYPE. AA Aboriginal Area ACCP Conservation Covenant ASMA Antarctic Specially Managed Areas ASPA Antarctic Specially Protected Areas BG Botanic Gardens (Commonwealth) CA Conservation Area CCA Coordinated Conservation Area CCAZ1 CCA Zone 1 National Park CCAZ2 CCA Zone 2 Aboriginal Area CCAZ3 CCA Zone 3 State Conservation Area COR Coastal Reserve CP Conservation Park CR Conservation Reserve FLR Flora Reserve FR Forest Reserve GR Game Reserve HA Heritage Agreement HIR Historical Reserve HR Heritage River HS Historic Site HTR Hunting Reserve IPA Indigenous Protected Area KCR Karst Conservation Reserve MAA Management Agreement MCP National Parks Act Schedule 4 park or reserve MNP Marine National Park MR Commonwealth Land Managed for Conservation MS Marine Sanctuary NAP Nature Park NAPA Nature Park (Aboriginal) NCA Natural Catchment Area NCR Nature Conservation Reserve NFR Natural Features Reserve NP National Park NPA National Park Aboriginal NPC National Park (Commonwealth) NPR National Park (Recovery) NR Nature Reserve NRA Nature Recreation Area NREF Nature Refuge NRS NRS Addition - Gazettal in Progress NS National Park (Scientific) OCA Other Conservation Area OCA/NP Other Conservation Area / Nature Park OP Other PA Protected Area PNPA Proposed National Parks Act park or park addition PNR Private Nature Reserve PPP Permanent Park Preserve PS Private Sanctuary RA Reference Area RNA Remote and Natural Area RP Recreation Park RR Regional Reserve S5G 5(1)(g) Reserve S5H 5(1)(h) Reserve SCA State Conservation Area SP State Park SR State Reserve TR Timber Reserve WA Wilderness Protection Area WP Wilderness Park WZ Wilderness Zone IUCN: the IUCN protected area management category ascribed by the Managing authority, as outlined in the publication: CNPPA/WCMC "Guidelines for Protected Area management categories". Gland: IUCN, 1994. (ISBN: 2-8317-0201-1). Definitions include: IA Strict Nature Reserve: managed mainly for science; IB Wilderness Area: managed mainly for wilderness protection; II National Park: managed mainly for ecosystem protection; III Natural Monument: managed mainly for conservation of specific natural features; IV Habitat / Species Management Area: managed mainly for conservation through management intervention; V Protected Landscape / Seascape: managed mainly for landscape/seascape conservation and recreation; VI Managed Resource Protected Area: managed mainly for the sustainable use of natural ecosystems. GAZ_AREA: area in hectares as described in the nomination document (e.g. parliamentary gazettal), to the nearest hectare. Some protected areas do not have a specific area in the designation. GIS_AREA: area in hectares based on current spatial data and an Albers equal area projection for Australia. Where protected area consists of multiple polygons (parts) the GIS_AREA is the sum of all the polygons with the same name, type, state and IUCN category. REPT_AREA: area in hectares from the GAZ_AREA attribute and if this is a null value then the GIS_AREA is used. For Protected areas with multiple records, REPT_AREA is a calculated by dividing GAZ_AREA by GIS_AREA of the total then applying this factor to the GIS_AREA of the record. GAZ_DATE: the first gazettal or proclamation date that established any protected area at this site. LATEST_GAZ: the date of the most recent gazettal or proclamation to add land to the protected area. It can be the same date as the GAZ_AREA. NRS_PA: This attribute indicates the status of the protected area as part of the National Reserve System (NRS). "Y" = a protected area located within the State and Territory jurisdiction "I" = an interim protected area - in the process of being gazetted/established. "N" = a protected area that does not meet the NRS criteria. "ND" = a protected area that does not meet NRS criteria, but compliments the NRS with sympathetic management. STATE: The state is the state that the protected area is located in. COM = protected areas located in Australian external territories. AUTHORITY: The Authority responsible for the management of the protected area mechanism. AAD - Australian Antarctic Division ACT_TAMS - ACT Territory and Municipal Services WA_DEC - WA Department of Environment and Conservation QLD_DERM - Qld Department of Environment and Resource Management VIC_DSE - Victorian Department of Sustainability and Environment DSEWPAC - Department of Sustainability, Environment, Water, Population and Communities Forests NSW - Forests NSW IMG - Indigenous Management Group LHI Board - Lord Howe Island Board NT_PWS - NT Parks and Wildlife Service NSW_OEH - NSW Office of Environment and Heritage SA_DENR - SA Department of Environment and Natural Resources SA_FRST - Forestry SA TAS_DPIPWE - Tasmanian Department of Primary Industries, Parks, Water and Environment TAS_FRST - Forestry Tasmania TAS_MVC - Tasmanian Meander Valley Council TAS_DC - Tasmanian Dorset Council TAS_PWS - TAS Parks and Wildlife Service TAS_WPMT - Wellington Park Management Trust STATE_MAA - Management Agreement Area DATASOURCE: Describes the source of the data for the protected area, values are: ACT_TAMS: ACT - Territory and Municipal Services DSEWPAC: Department of Sustainability, Environment, Water, Population and Communities DSEWPAC_NRSP: Department of Sustainability, Environment, Water, Population and Communities National Reserve System Program NRETAS: NT Department of Natural Resources, Environment, The Arts and Sport NSW_OEH: NSW Office of Environment and Heritage NSW_SF: NSW Forests QLD_DERM: Qld Department of Environment and Resource Management SA_DENR: SA Dept. of Environment and Natural Resources TAS_DPIPWE: Tasmanian Department of Primary Industries, Parks, Water and Environment VIC_DSE: Department of Environment and Sustainability WA_GOV: Department of Environment and Conservation GOVERNANCE: Determines if the protected area is government, Indigenous, joint or privately managed. ENVIRON: A protected area gazetted as terrestrial may have a marine component and vice versa. A PROTECTED AREA can be 'T' terrestrial, marine 'M' and both 'B'. Terrestrial CAPAD 2010 contains ?T? and ?B?. Marine CAPAD 2010 contains ?M?. OVERLAP: Shows whether or not the protected area is overlapped by another. Protected areas with a value of '1' are the primary protected area in that area. A protected area with a value of '2' is completely overlapped by another protected area. X_COORD: is the longitude in decimal degrees east within the object closest to the centre of the object using the Gecentric Datum of Australia 1994. Y_COORD: is the latitude in decimal degrees south within the object closest to the centre of the object using the Geocentric Datum of Australia 1994. MGT_PLAN: The code of the status of the management plan for the protected area. Definitions Include: P ? In Preparation ? Some form of management document was being prepared. D ? Draft ? A draft management document was released for comment by the public, management board or equivalent. S ? Statutory ? Enabling legislation establishes the management of a protected area and separate management document is not required. I ? Management Intent ? A formal statement of management intent has been prepared that clearly sets out the management objectives for the protected area but includes little else. M ? Management Plan ? A formally adopted management plan that has been through consultation and contains strategies and actions for implementation for this protected area. R ? Regional Plan ? A formally adopted management plan has been through consultation and contains general strategies and actions for implementation over a group of protected areas. N ? Unknown ? No form of management document could be found. RES_NUMBER: The reserve number (if declared) as used by the controlling authority. OBJECTID *, Shape *, SHAPE.AREA and SHAPE.LEN are automatically generated ESRI attributes

The General Practice Workforce series of Official Statistics presents a snapshot of the primary care general practice workforce. A snapshot statistic relates to the situation at a specific date, which for these workforce statistics is now the last calendar day each month. This monthly snapshot reflects the general practice workforce at 30 April 2024. These statistics present full-time equivalent (FTE) and headcount figures by four staff groups, (GPs, Nurses, Direct Patient Care (DPC) and administrative staff), with breakdowns of individual job roles within these high-level groups. For the purposes of NHS workforce statistics, we define full-time working to be 37.5 hours per week. Full-time equivalent is a standardised measure of the workload of an employed person. Using FTE, we can convert part-time and additional working hours into an equivalent number of full-time staff. For example, an individual working 37.5 hours would be classed as 1.0 FTE while a colleague working 30 hours would be 0.8 FTE. The term “headcount” relates to distinct individuals, and as the same person may hold more than one role, care should be taken when interpreting headcount figures. Please refer to the Using this Publication section for information and guidance about the contents of this publication and how it can and cannot be used. England-level time series figures for all job roles are available in the Excel bulletin tables back to September 2015 when this series of Official Statistics began. The Excel file also includes Sub-ICB Location-level FTE and headcount breakdowns for the current reporting period. CSVs containing practice-level summaries and Sub-ICB Location-level counts of individuals are also available. Please refer to the Publication content, analysis, and release schedule in the Using this publication section for more details of what’s available. We are continually working to improve our publications to ensure their contents are as useful and relevant as possible for our users. We welcome feedback from all users to PrimaryCareWorkforce@nhs.net.

This table gives an overview of the number of continental and intercontinental destinations that can be accessed by passengers from major European airports near cities. The importance of good connections by airplane within and outside Europe increases with the continuing globalisation of the economy.

Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.

Data available from 1995

Status of the figures: The external source of these data does not supply adjusted figures on preceding periods. 1995 up to and including 2007 are definitive figures.

Changes as of 02 February 2011: No changes.

When will new figures be published? The external source does not supply new figures for this indicator. The latest figures are shown in the table.

Data Downloads GeoJSON GeoJSON This resource provides the latest snapshot of... Data Licensing Agreement For the use of digital information acquired from DataWA This agreement is made this day: Between: The Department of Planning, Lands and Heritage of 140 William Street, Perth, Western Australia (the Licensor) And The user of DataWA (data.wa.gov.au) (the Licensee) DEFINITIONS In this agreement the following definitions apply: Information means the data, datasets and information that are on the website of DataWA (being data.wa.gov.au). Permitted Purpose means the use for internal business or personal purposes only and not for any external or further display, distribution, sale, licence, hire, let or trade to a third party, regardless of charge or not. LICENCE CONDITIONS The Licensor grants to the Licensee a licence to use the Information on the terms and conditions set out in this agreement. The Licensee can only use the Information for the Permitted Use. The Information shall not be used for any purpose other than the Permitted Use, or be dispatched to any other user or agent. The Information shall at all times remain the property of the Licensor. All products produced by the Licensee from the use of the Information shall bear a logo and text acknowledging the Licensor as the source of the Information. The Licensor and all of its respective servants, agents and officers, shall not be held liable for any action, proceeding, claim, suit or demand arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee will indemnify and keep indemnified the Licensor and all of its respective servants, agents and officers from and against all actions, proceedings, claims, suits or demands whatsoever which may at any time be brought, maintained or made against the Licensor and/or any of its respective servants, agents or officers arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee acknowledges and understands that the Licensor has, in good faith, made every effort to ensure that the Information is complete, current and reliable. However, the Licensor makes no warranty or representation about the accuracy, adequacy or completeness of the Information and that, before relying on the Information in any important matter, the Licensee should carefully evaluate the accuracy, completeness and relevance of the Information for its purposes and should obtain appropriate professional advice relevant to its particular circumstances. " > Download File Geodatabase FGDB This resource provides the latest snapshot of... Data Licensing Agreement For the use of digital information acquired from DataWA This agreement is made this day: Between: The Department of Planning, Lands and Heritage of 140 William Street, Perth, Western Australia (the Licensor) And The user of DataWA (data.wa.gov.au) (the Licensee) DEFINITIONS In this agreement the following definitions apply: Information means the data, datasets and information that are on the website of DataWA (being data.wa.gov.au). Permitted Purpose means the use for internal business or personal purposes only and not for any external or further display, distribution, sale, licence, hire, let or trade to a third party, regardless of charge or not. LICENCE CONDITIONS The Licensor grants to the Licensee a licence to use the Information on the terms and conditions set out in this agreement. The Licensee can only use the Information for the Permitted Use. The Information shall not be used for any purpose other than the Permitted Use, or be dispatched to any other user or agent. The Information shall at all times remain the property of the Licensor. All products produced by the Licensee from the use of the Information shall bear a logo and text acknowledging the Licensor as the source of the Information. The Licensor and all of its respective servants, agents and officers, shall not be held liable for any action, proceeding, claim, suit or demand arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee will indemnify and keep indemnified the Licensor and all of its respective servants, agents and officers from and against all actions, proceedings, claims, suits or demands whatsoever which may at any time be brought, maintained or made against the Licensor and/or any of its respective servants, agents or officers arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee acknowledges and understands that the Licensor has, in good faith, made every effort to ensure that the Information is complete, current and reliable. However, the Licensor makes no warranty or representation about the accuracy, adequacy or completeness of the Information and that, before relying on the Information in any important matter, the Licensee should carefully evaluate the accuracy, completeness and relevance of the Information for its purposes and should obtain appropriate professional advice relevant to its particular circumstances. " > Download Geopackage GeoPackage This resource provides the latest snapshot of... Data Licensing Agreement For the use of digital information acquired from DataWA This agreement is made this day: Between: The Department of Planning, Lands and Heritage of 140 William Street, Perth, Western Australia (the Licensor) And The user of DataWA (data.wa.gov.au) (the Licensee) DEFINITIONS In this agreement the following definitions apply: Information means the data, datasets and information that are on the website of DataWA (being data.wa.gov.au). Permitted Purpose means the use for internal business or personal purposes only and not for any external or further display, distribution, sale, licence, hire, let or trade to a third party, regardless of charge or not. LICENCE CONDITIONS The Licensor grants to the Licensee a licence to use the Information on the terms and conditions set out in this agreement. The Licensee can only use the Information for the Permitted Use. The Information shall not be used for any purpose other than the Permitted Use, or be dispatched to any other user or agent. The Information shall at all times remain the property of the Licensor. All products produced by the Licensee from the use of the Information shall bear a logo and text acknowledging the Licensor as the source of the Information. The Licensor and all of its respective servants, agents and officers, shall not be held liable for any action, proceeding, claim, suit or demand arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee will indemnify and keep indemnified the Licensor and all of its respective servants, agents and officers from and against all actions, proceedings, claims, suits or demands whatsoever which may at any time be brought, maintained or made against the Licensor and/or any of its respective servants, agents or officers arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee acknowledges and understands that the Licensor has, in good faith, made every effort to ensure that the Information is complete, current and reliable. However, the Licensor makes no warranty or representation about the accuracy, adequacy or completeness of the Information and that, before relying on the Information in any important matter, the Licensee should carefully evaluate the accuracy, completeness and relevance of the Information for its purposes and should obtain appropriate professional advice relevant to its particular circumstances. " > Download Shapefile SHP This resource provides the latest snapshot of... Data Licensing Agreement For the use of digital information acquired from DataWA This agreement is made this day: Between: The Department of Planning, Lands and Heritage of 140 William Street, Perth, Western Australia (the Licensor) And The user of DataWA (data.wa.gov.au) (the Licensee) DEFINITIONS In this agreement the following definitions apply: Information means the data, datasets and information that are on the website of DataWA (being data.wa.gov.au). Permitted Purpose means the use for internal business or personal purposes only and not for any external or further display, distribution, sale, licence, hire, let or trade to a third party, regardless of charge or not. LICENCE CONDITIONS The Licensor grants to the Licensee a licence to use the Information on the terms and conditions set out in this agreement. The Licensee can only use the Information for the Permitted Use. The Information shall not be used for any purpose other than the Permitted Use, or be dispatched to any other user or agent. The Information shall at all times remain the property of the Licensor. All products produced by the Licensee from the use of the Information shall bear a logo and text acknowledging the Licensor as the source of the Information. The Licensor and all of its respective servants, agents and officers, shall not be held liable for any action, proceeding, claim, suit or demand arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee will indemnify and keep indemnified the Licensor and all of its respective servants, agents and officers from and against all actions, proceedings, claims, suits or demands whatsoever which may at any time be brought, maintained or made against the Licensor and/or any of its respective servants, agents or officers arising from or otherwise relating to the interpretation, accuracy or use of the Information by the Licensee. The Licensee acknowledges and understands that the Licensor has, in good faith, made every effort to ensure that the Information is complete, current and reliable. However, the Licensor makes no warranty or representation about

Protein-Protein, Genetic, and Chemical Interactions for NDE1 (Saccharomyces cerevisiae (S288c)) curated by BioGRID (https://thebiogrid.org); DEFINITION: Mitochondrial external NADH dehydrogenase; type II NAD(P)H:quinone oxidoreductase that catalyzes the oxidation of cytosolic NADH; Nde1p and Nde2p provide cytosolic NADH to the mitochondrial respiratory chain; NDE1 has a paralog, NDE2, that arose from the whole genome duplication

This table provides an international overview of the quality of infrastructure. Particularly figures on expenditure on ICT and knowledge infrastructure as well as figures on the efficiency of distribution infrastructure is given.

Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.

Data available from 1990 up to 2012.

Status of the figures: The external sources of these data frequently supply adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table.

Changes as of 22 December 2017: No, table is stopped.

When will new figures be published? Not.

This table gives an overview of the costs of hiring office space in several countries. The indicator for the country concerned is based on the rent (including service costs and property tax) of high quality office space (class A). For example, the West End in London was selected for the United Kingdom, Amsterdam was selected for the Netherlands.

Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.

Data available from: January 2001 up to April 2013.

Status of the figures: The external source of these data frequently supplies adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table.

Changes as of 1 March 2018: This table has been discontinued.

When will new figures be published? No longer applicable.

The Law of the Sea project provides advice, reports and maps related to maritime boundary negotiations and continental shelf definition around Australia and its external territories. The website …Show full descriptionThe Law of the Sea project provides advice, reports and maps related to maritime boundary negotiations and continental shelf definition around Australia and its external territories. The website links to article 76 of the UN Convention on the Law of the Sea, UN Commission on the Limits of the Continental Shelf (CLCS), Department of Foreign Affairs and Trade, Department of the Environment, Water, Heritage and the Arts and Australian Hydrographic Service.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied:

The Geofabric Surface Network product provides a set of related feature classes to be used as the basis for production of consistent hydrological surface stream network analysis. This product contains a topographically consistent representation of the (major) surface water features of Australia (excluding external territories). Primarily, these are natural surface hydrology features but the product also contains some man-made features (notably reservoirs and other hydrographic features).

The Geofabric Surface Network product is based upon the input from ANUDEM Derived Streams V1.1.2 (ANUDEM Streams) which is the vectorised version of the nine second ANUDEM derived raster steams product. The product is related to, but distinct from, the stream network contained in the Geofabric Surface Cartography product. The network product represents the flow direction of streams over the surface of the terrain, based on the GEODATA Nine Second Digital Elevation Model (DEM-9S) Version 3. This product is more generalised than the Geofabric Surface Cartography and represents the main channels of the stream, particularly in areas where streams are heavily anabranched or disconnected.

In addition, the stream connectivity represents a stream flow over the terrain, regardless of the presence of a corresponding Geofabric Surface Cartography stream segment. This means that the Geofabric Surface Cartography product may represent a stream as an interrupted or intermittent feature, whereas this product represents the same stream as a continuous connected feature. That is, the path that a stream would take (according to the terrain model) if sufficient water were available for flow. This product is fully topologically correct which means that all the stream segments flow in the correct direction. It also has full connectivity based on the flow of water across a terrain model.

This product contains six feature types including: Waterbody, Network Stream, Network Node, Catchment, Network Connectivity (Upstream) and Network Connectivity (Downstream).

Purpose

This product contains a topographic representation of the (major) surface water features of 'geographic Australia' excluding external territories. It is intended to be used as the basis for production of consistent surface stream network analysis.

Geofabric Surface Network is intended to be used in stream flow tracing operations, using its full topological connection. The product can support the spatial selection of associated hydrological features as inputs for spatial analysis/modelling.

This product is intended to supplement the Geofabric Surface Cartography, Geofabric Surface Catchments and Geofabric Hydrology Reporting Catchments data products. This product is also used to support the definition of the Geofabric Surface Catchments and Geofabric Hydrology Reporting Catchments products and provides a spatial framework for analysis and assessment of streams and their catchments.

Dataset History

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied:

Lineage statement: Geofabric Surface Network is part of a suite of Geofabric products produced by the Australian Bureau of Meteorology. The geometry of this product is largely derived from the ANUDEM Derived Streams V1.1.2 (ANUDEM Streams). It consists of water bodies such as swamps, reservoirs, lakes, etc as derived from AusHydro V1, as well as the stream lines and stream line connectors through these water bodies. The ANUDEM Streams are firstly vectorised to be usable in vector line feature format and are then informed and modified by the coincident locations of the AHGFMappedStream feature class. The features are organised into specific feature class subtypes, based upon both the inputs from the AusHydro V1.7.2 and their behaviour within the AHGF Network Stream relationships. All of the AHGFNetworkStream and AHGFWaterbody features participate in the connected stream flow topology.

This product also contains the AHGFCatchment features that are derived from the National Catchment Boundaries V1.1.4. The AGHFCatchment feature class consist of the lowest level stream flow catchments based upon the inputs from ANUDEM Streams. The catchment boundaries are based upon a single AHGFNetworkStream extent over GEODATA National 9 Second DEM grid. These catchments form the basis of aggregated catchment boundaries, either by Contracted Nodes or by Pfafstetter ID Levels.

All of these features participate in the connected stream flow topology.

Changes at v2.1

! Addition of Beta Monitoring Point Table including 479 ghost nodes

 connected to the network.

- New Water Storages in the WaterBody FC.

Changes at v2.1.1

! Replacement of Beta Monitoring Point Table and inclusion of 3,310

(formerly 479) ghost nodes connected to the stream network.



! 16 New BoM Water Storages attributed in the AHGFWaterBody feature class

and 1 completely new water storage feature added.



- SegnoLink attribute update to fix single catchment feature in Tasmania.



- Correction to spelling of Numeralla river in AHGFMappedStream (formerly

Numaralla).



! Metadata updated adding explanation of AHGFNetworkStream AusHydroEr codes

and revision made to description of DrainID field.



- Fixed a series of NoFlow catchments (small internally draining catchments

not related to a stream segment) in Murray-Darling were incorrectly

attributed as externally draining via the ExtrnlBasn field in

AHGFCatchments.



! Usage of the MergedSink attribute changed from v2.1 (see

HR_Catchments_Technical_Overview.pdf for more info).

Processing steps:

1. ANUDEM Streams dataset is received and loaded into the Geofabric development GIS environment.

2. Feature classes from ANUDEM Streams are recomposed into composited Geofabric Feature Dataset Feature Classes in the Geofabric Maintenance Geodatabase.

3. Re-composited feature classes in the Geofabric Maintenance Geodatabase Feature Dataset are assigned unique Hydro-IDs using ESRI ArcHydro for Surface Water (ArcHydro: 1.4.0.180 and ApFramework: 3.1.0.84).

4. Feature classes from the Geofabric Maintenance Geodatabase Feature Dataset are extracted and reassigned to the Geofabric Surface Network Feature Dataset within the Geofabric Surface Network Geodatabase.

A complete set of data mappings, from input source data to Geofabric Products, is included in the Geofabric Product Guide, Appendices.

Dataset Citation

Bureau of Meteorology (2014) Geofabric Surface Network - V2.1.1. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/d84e51f0-c1c1-4cf9-a23c-591f66be0d40.

This table provides for several countries an overview of : - business ownership rate; - prospective and young entrepreneurship; - firm turbulence (births and exits of enterprises, business survival rate); - fast-growing enterprises; - propensity towards entrepreneurship; - self-employment rate (by sex). High business turnover rates, many fast-growing enterprises, many young entrepreneurs and a positive attitude towards entrepreneurship are an indication of a favourable investment climate. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from 1990 up to 2012. Status of the figures: The external sources of these data frequently supply adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table. Changes as of 22 December 2017: No, table is stopped. When will new figures be published? Not.