The Protein Ensemble Database is an open access database for the deposition of structural ensembles, including intrinsically disordered proteins.

Ped Custom Data

## Overview

Ped Custom Data is a dataset for object detection tasks - it contains Person annotations for 614 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Patent Examination Data System lets customers retrieve and download multiple records of USPTO patent application or patent filing status at no cost. PEDS contains the bibliographic, published document and patent term extension data tabs in Public PAIR from 1981 to present. There is also some data dating back to 1935. Customers can download the entire dataset containing the data for all indexed documents. There are over 13 million records in PEDS. The data can be accessed by anyone using the web interface or the provided Application Programming Interface (API). PEDS is updated daily and mirrors the data available in the Patent Application Location and Monitoring (PALM) system. PEDS provides access to public applications including: published patent applications and patents, and PCT applications that have not been published by WIPO. Any applications that have not been released by the USPTO will not be available in PEDS.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This database is the initial PED AssetList database V1 20150313. This dataset contains the spatial and non-spatial (attribute) components of the Pedirka subregion Asset List as one .mdb files, which are readable as an MS Access database. Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Pedirka are included in the zip file as part of this dataset. Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Pedirka subregion are found in the "AssetList" table of the database. In this version of the database only M1 has been assessed. Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of " AssetList_database_PED_V1_20150313.doc", located in the zip file as part of this dataset. The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset. Detailed information describing the database structure and content can be found in the document " AssetList_database_PED_V1_20150313.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted.

Purpose

This is a complete list of assets as of 13th March, 2015 in this subregion to be assessed by the Bioregional assessment programme.

Dataset History

This is the initial asset database for Pedirka, compiled from a number of source datasets.

Dataset Citation

Bioregional Assessment Programme (2014) PED AssetList V1 20150313. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/84251560-5af2-490e-a4d8-6208ef91ae62.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From Northern Territory Groundwater Elements v120141202

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Geofabric Surface Network - V2.1

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

• Derived From Queensland wetland data version 3 - wetland areas.

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Water Management Areas 141007

• Derived From South Australian Wetlands - Groundwater Dependent Ecosystems (GDE) Classification

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT)

• Derived From Queensland wetland data version 3 - wetland lines.

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From Northern Territory Groundwater Management Units 20140630

• Derived From Northern Territory - Lake Eyre Basin - Wetlands Mapping - METADATA ONLY

• Derived From Northern Territory Groundwater Licence Extract 20140130

• Derived From Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

Landing page for Geochronologic data from Ped Pond, including data download options and linked resources.

You can find some raw data used to prepare a PED archetype to conduct a bunch of simulations to measure the impacts of electric cars on the PED archetype.

The KYTC Data with Offset layer is a snapshot of the KYTC Bike Ped database as of August 22. 2020. This dataset only shows approximate locations of Bike/Ped facilities.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Payments for ecosystem services (PES) are a leading conservation finance tool to encourage land-users to deliver ecosystem services in exchange for financial incentives (Blundo-Canto et al., 2018; Kaiser et al., 2021; Salzman et al., 2018; Schomers and Matzdorf, 2013). They have generated considerable interest over the past two decades, following the publication of the UN’s Millennium Ecosystem Assessment (MEA, 2005). Yet, there has been a dearth of analysis that reveals the outcomes and evolution of the PES research body itself, with most studies having a very specific or limited focus on the theoretical and empirical development of these PES programmes. The ePEStemology database assembles a systematic literature review into a meta-analysis aimed at understanding knowledge generation in PES research. The database allows for an analysis of key trends in how the body of literature on PES has informed scholars and practitioners since the emergence of this conservation tool.

Interpolated PED values at 30 regionally representative sites. Soil moisture is vital for plant growth. When plants cannot access the water they need, growth is reduced, affecting crops and food for livestock, and native biodiversity. Over a sustained period, a drought can have significant social and economic costs, particularly for rural communities. Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. PED is measured in growing seasons (the 12 months from 1 July to 30 June of the following year. Data covers each of the growing seasons from 1 July 1972, with the last growing season in the series ending on 30 June 2016. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

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.

Shows the locations species that are listed under the SA NPW Act 1972 or the Parks and Wildlife Conservation Act 2000 have been recorded in the Biological Database of South Australia or the Atlas of Living Australia.

Current biodiversity data are available from the Atlas of Living Australia at http://www.ala.org.au/

Purpose

To indicate the locations of species that are listed under the SA NPW Act 1972 or TPWC Act 2000.

Dataset History

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka subregion. The locational information for biological survey sites is collected in a number of formats, with older surveys in the pastoral region being read from maps at various scales (may be up to 1:250,000) and newer surveys using GPS.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) State Rated Species Flora - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/6f0458a8-efaa-4f16-969a-1ae198659dac.

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.

Digital vector road centrelines for the Northern Territory.

Purpose

Contextual information for map production. The data set represents all known public roads in the Northern Territory and most private ones of significance.

Dataset History

Derived through the Northern Territory Government, Department of Lands, Planning and the Environment www.ntlis.nt.gov.au., as follows; The current dataset was established from the earlier DCDB which contained all the known public roads in the Northern Territory and other more used roads combined with the NT Pastoral Roads, the PSMA Indigenous Roads and the Geoscience Australia 1:250,000 Geodata Roads data sets in January 2007. The DCDB data is being continuously updated with new alignments and attributes from such sources as new Cadastre, GPS observations, new mapping and imagery and the Roads Information Mangement System. (http://www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=3866C09A840CE266E040CD9B21445F61)

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Topography - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/d0d703ff-3650-46d6-ba60-384b7e8ca3a4.

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 Surface Geology of Australia 1:1M scale dataset (2012 edition) is a seamless national coverage of outcrop and surficial geology, compiled for use at or around 1:1 million scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith material covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information regarding stratigraphic nomenclature and hierarchy, age, lithology, and primary data source. The dataset also contains geological contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice bodies.

Purpose

The data is used to indicate the surface geology within the Pedirka Subregion.

Dataset History

(Raymond, O.L., Liu, S., Gallagher, R., Highet, L.M., Zhang, W., 2012. Surface Geology of Australia, 1:1 000 000 scale, 2012 edition [Digital Dataset]. Geoscience Australia, Commonwealth of Australia, Canberra. http://www.ga.gov.au)

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Surface Geology - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/b619b3d5-d035-4d6c-aaa4-fb9a54af9ec0.

BIMS, the Breeding Information Management System, is a secure and comprehensive online breeding management system developed for the generic Tripal Database Platform which allows breeders to store, manage, archive and analyze their private breeding program. Breeders can load data in templates provided as well as output from the Field Book App, an android app for collecting phenotype data. In addition to the private breeders BIMS, users without accounts can also view the publicly available breeding data. The fully developed version will allow users to:

Fully integrate their data with publicly available genomic, genetic and breeding data in the community database.

Utilize their integrated pedigree, phenotype and genotype data in performing genomic analysis and making breeding decisions.

Use open-source new genomics tool and breeding decision tools with seamless access to HPC. Resources in this dataset:Resource Title: Website Pointer for CottonGen BIMS (Breeding Information Management System). File Name: Web Page, url: https://www.cottongen.org/bims BIMS, the Breeding Information Management System, is a secure and comprehensive online breeding management system developed for the generic Tripal Database Platform which allows breeders to store, manage, archive and analyze their private breeding program. Breeders can load data in templates provided as well as output from the Field Book App, an android app for collecting phenotype data. In addition to the private breeders BIMS users without accounts can also view the publicly available breeding data. The fully developed version will allow users to:

Fully integrate their data with publicly available genomic, genetic and breeding data in the community database

Utilize their integrated pedigree, phenotype and genotype data in performing genomic analysis and making breeding decisions.

Use open-source new genomics tool and breeding decision tools with seamless access to HPC.

Two sample files.

Dataset of experimental study on the precise event sampling facilities of Intel and AMD architectures

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

The asset database for Pedirka subregion (v4) supersedes previous versions of the Arckaringa Asset database (Asset database for the Pedirka subregion on 27 August 2015, GUID: 62dc178f-65ae-4e6a-b5d4-12895b37d04c). Total number of registered water assets in this V4 database was increased by 2 because two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

This dataset contains v4 of the Asset database (PED_asset_database_20160308.mdb), a Geodatabase version for GIS mapping purposes (PED_asset_database_20160308_GISOnly.gdb), an updated draft Water Dependent Asset Register spreadsheet (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-v20160308.xlsx), a data dictionary (PED_asset_database_doc_20160308.doc), and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process.

The tabular attribute data can be joined in a GIS to the "Assetlist" table in the mdb database using the "AID" field to view asset attributes (BA attribution). To view the more detailed attribution at the element-level, the intermediate table "Element_to_asset" can be joined to the assets spatial datasets using AID, and then joining the individual attribute tables from the Access database using the common "ElementID" fields. Alternatively, the spatial feature layers representing elements can be linked directly to the individual attribute tables in the Access database using "ElementID", but this arrangement will not provide the asset-level groupings.

Further information is provided in the accompanying document, "PED_asset_database_doc_20160308.doc" located within this dataset.

The public version of this asset database can be accessed via the following dataset: Asset database for the Pedirka subregion on 08 March 2016 Public (https://data.gov.au/data/dataset/c104deb9-5969-4427-977a-12f284564c93).

Dataset History

VersionID Date Notes

1.0 13/03/2015 Initial database

1.1 19/03/2015 Add SA point Eco data (2 assets and 28 Elements) and fixed Note field value in table AssetDecisions

2 7/08/2015 "(1) Updated the database for M2 test results provided from PED assessment team and created the draft BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20150807.xlsx

(2) Updated the group, subgroup, class and depth for (up to) 67 NRM WAIT assets to cooperate the feedback to OWS from relevant SA NRM office (whose staff missed the asset workshop). The AIDs and names of those assets are listed in table LUT_changed_asset_class_20150807 in PED_asset_database_20150807.mdb

(3) Appendix C in PED_asset_database_doc_201500807.doc is about total elements/assets in current Group and subgroup

(4) Four SQL queries (Find_All_Used_Assets, Find_All_WD_Assets, Find_Amount_Asset_in_Class and Find_Amount_Elements_in_Class) in PED_asset_database_20150807.mdb can be used for total assets and total numbers

(5)There are 1 asset (in PED subregion), which is same as 1 asset in MBC subregion. Its AID, Asset Name, Group, SubGroup, Depth, Source and ListDate is using values from MBC asset. This asset is listed in table LUT_DUP_PED_MBC in PED_asset_database_20150807.mdb

(6)The databases, especially spatial database (PED_asset_database_20150807Only.gdb), were changed such as duplicated attribute fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the relevant spatial data."

3 27/08/2015 M2_Reason in the Assetlist table and DecisionBrief in the AssetDecisions table have been updated with short descriptions (<255 characters) provided by project team 21/8, and the draft "water-dependent asset register and asset list" (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. No changes to asset numbers.

4 8/03/2016 "(1) Total number of registered water assets was increased by 2 due to: Two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

              (2) The draft new Water Dependent Asset Register file (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20160308.xlsx) was created"

Dataset Citation

Bioregional Assessment Programme (2014) Asset database for the Pedirka subregion on 08 March 2016. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/336879f0-470f-4f9d-826c-e6c8653657eb.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From Northern Territory Groundwater Elements v120141202

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Geofabric Surface Network - V2.1

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From PED AssetList V1 20150313

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

• Derived From Queensland wetland data version 3 - wetland areas.

• Derived From Asset database for the Pedirka subregion on 07 August 2015

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Water Management Areas 141007

• Derived From South Australian Wetlands - Groundwater Dependent Ecosystems (GDE) Classification

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Asset database for the Pedirka subregion on 27 August 2015

• Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT)

• Derived From Queensland wetland data version 3 - wetland lines.

• Derived From SA EconomicElements v1 20141201

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From Northern Territory Groundwater Management Units 20140630

• Derived From Northern Territory - Lake Eyre Basin - Wetlands Mapping - METADATA ONLY

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Groundwater Licences 141007

• Derived From Northern Territory Groundwater Licence Extract 20140130

• Derived From Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification

• Derived From [Australia - Species of National Environmental Significance

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.

Shows the locations of species that are listed under the EPBC Act 1999 and have been recorded in the Biological Database of South Australia or the Atlas of Living Australia.

Current biodiversity data are available from the Atlas of Living Australia at http://www.ala.org.au/

Purpose

To indicate the locations of species that are listed under the EPBC Act 1999.

Dataset History

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka subregion. The locational information for biological survey sites is collected in a number of formats, with older surveys in the pastoral region being read from maps at various scales (may be up to 1:250,000) and newer surveys using GPS.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) EPBC Act Rated Species Flora- PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/34d8a760-8bf2-42f6-87b5-0fb76eaa33eb.

615 Global export shipment records of Licowax Ped with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset tracks the updates made on the dataset "FFS PED Web App Quick Reference Guide" as a repository for previous versions of the data and metadata.