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We identified 14 significant network modules from the Ai-PPIN using Louvain community detection algorithm. The list of proteins representing each module and the edgelist corresponding to each module is presented here.
The LAGOS-US GEO data package is one of the core data modules of LAGOS-US, an extensible research-ready platform designed to study the 479,950 lakes and reservoirs larger than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). The GEO module contains data on the geospatial and temporal ecological setting (e.g., land use, terrain, soils, climate, hydrology, atmospheric deposition, and human influence) quantified at multiple spatial divisions (e.g., equidistant buffers around lakes, watersheds, hydrologic basins, political boundaries, and ecoregions) relevant to the LAGOS-US lake population defined in the LAGOS-US LOCUS module. The database design that supports the LAGOS-US research platform was created based on several important design features: lakes are the fundamental unit of consideration, all lakes in the spatial extent above the minimum size must be represented, and most information is connected to individual lakes. The design is modular, interoperable (the modules can be used with each other), and extensible (future database modules can be developed and used in the LAGOS-US research platform by others). Users are encouraged to use the other two core data modules that are part of the LAGOS-US platform: LOCUS (location, identifiers, and physical characteristics of lakes and their watersheds) and LIMNO (in situ lake physical, chemical, and biological measurements through time) that are each found in their own data packages.
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United States Photovoltaic Module Imports: North America data was reported at 1,729,403.000 kWp in 2020. This records an increase from the previous number of 1,535,725.750 kWp for 2019. United States Photovoltaic Module Imports: North America data is updated yearly, averaging 1,632,564.375 kWp from Dec 2019 (Median) to 2020, with 2 observations. The data reached an all-time high of 1,729,403.000 kWp in 2020 and a record low of 1,535,725.750 kWp in 2019. United States Photovoltaic Module Imports: North America data remains active status in CEIC and is reported by U.S. Energy Information Administration. The data is categorized under Global Database’s United States – Table US.RB101: Photovoltaic Module Import Shipments by Country or Region.
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The top 10% of the proteins ranked by degree, closeness and eigenvector centrality scores were selected. The proteins that are present in common across three groups were defined as central. The central proteins from each module and their corresponding centrality scores are provided in this table.
This page lists ad-hoc statistics released during the period July - September 2020. These are additional analyses not included in any of the Department for Digital, Culture, Media and Sport’s standard publications.
If you would like any further information please contact evidence@dcms.gov.uk.
This analysis considers businesses in the DCMS Sectors split by whether they had reported annual turnover above or below £500 million, at one time the threshold for the Coronavirus Business Interruption Loan Scheme (CBILS). Please note the DCMS Sectors totals here exclude the Tourism and Civil Society sectors, for which data is not available or has been excluded for ease of comparability.
The analysis looked at number of businesses; and total GVA generated for both turnover bands. In 2018, an estimated 112 DCMS Sector businesses had an annual turnover of £500m or more (0.03% of the total DCMS Sector businesses). These businesses generated 35.3% (£73.9bn) of all GVA by the DCMS Sectors.
These are trends are broadly similar for the wider non-financial UK business economy, where an estimated 823 businesses had an annual turnover of £500m or more (0.03% of the total) and generated 24.3% (£409.9bn) of all GVA.
The Digital Sector had an estimated 89 businesses (0.04% of all Digital Sector businesses) – the largest number – with turnover of £500m or more; and these businesses generated 41.5% (£61.9bn) of all GVA for the Digital Sector. By comparison, the Creative Industries had an estimated 44 businesses with turnover of £500m or more (0.01% of all Creative Industries businesses), and these businesses generated 23.9% (£26.7bn) of GVA for the Creative Industries sector.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">42.5 KB</span></p>
This analysis shows estimates from the ONS Opinion and Lifestyle Omnibus Survey Data Module, commissioned by DCMS in February 2020. The Opinions and Lifestyles Survey (OPN) is run by the Office for National Statistics. For more information on the survey, please see the https://www.ons.gov.uk/aboutus/whatwedo/paidservices/opinions" class="govuk-link">ONS website.
DCMS commissioned 19 questions to be included in the February 2020 survey relating to the public’s views on a range of data related issues, such as trust in different types of organisations when handling personal data, confidence using data skills at work, understanding of how data is managed by companies and the use of data skills at work.
The high level results are included in the accompanying tables. The survey samples adults (16+) across the whole of Great Britain (excluding the Isles of Scilly).
Data collected monthly from urbanized area transit systems. The Monthly module includes a limited set of key indicators reported by transit properties. Data is reported on a monthly basis, by mode and type of service, for a calendar year. The four data items included are: Unlinked Passenger Trips, Vehicle Revenue Miles, Vehicle Revenue Hours, and Vehicles Operated in Maximum Service (Peak Vehicles). Monthly data are reported by mode and type of service.
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The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset.
CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module.
Themes: MICRO-LEVEL DATA:
Identification and study administration variables: weighting factors;election type; date of election 1st and 2nd round; study timing (post election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election
Demography: age; gender; education; marital status; union membership; union membership of others in household; current employment status; main occupation; employment type - public or private; industrial sector; occupation of chief wage earner and of spouse; household income; number of persons in household; number of children in household under the age of 18; attendance at religious services; religiosity; religious denomination; language usually spoken at home; race; ethnicity; region of residence; rural or urban residence
Survey variables: respondent cast a ballot at the current and the previous election; respondent cast candidate preference vote at the previous election; satisfaction with the democratic process in the country; last election was conducted fairly; form of questionnaire (long or short); party identification; intensity of party identification; political parties care what people think; political parties are necessary; recall of candidates from the last election (name, gender and party); number of candidates correctly named; sympathy scale for selected parties and political leaders; assessment of the state of the economy in the country; assessment of economic development in the country; degree of improvement or deterioration of economy; politicians know what people think; contact with a member of parliament or congress during the past twelve months; attitude towards selected statements: it makes a difference who is in power and who people vote for; people express their political opinion; self-assessment on a left-right-scale; assessment of parties and political leaders on a left-right-scale; political information items
DISTRICT-LEVEL DATA:
number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district
MACRO-LEVEL DATA:
founding year of parties; ideological families of parties; international organization the parties belong to; left-right position of parties assigned by experts; election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; electoral alliances permitted during the election campaign; existing electoral alliances; most salient factors in the election; head of state (regime type); if multiple rounds: selection of head of state; direct election of head of state and process of direct election; threshold for first-round victory; procedure for candidate selection at final round; simple majority or absolute majority for 2nd round victory; year of presidential election (before or after this legislative election); process if indirect election of head of state; head of government (president or prime minister); selection of prime minister; number of elected legislative chambers; for lower and upper houses was coded: number of electoral segments; number of primary districts; number of seats; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; compulsory voting; votes cast; voting procedure; electoral formula; party threshold; parties can run joint lists; requirements for joint party lists; possibility of apparentement; types of apparentement agreements; multi-party endorsements; multi-party endorsements on ballot; ally party support; constitu...
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63505 Global export shipment records of Pv Solar Module with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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p-values are shown in minus log scale.*p-values in minus log scale are given in the parentheses.
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.
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55093 Global import shipment records of Wireless Module with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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This resource contains Jupyter Notebooks with examples for accessing USGS NWIS data via web services and performing subsequent analysis related to drought with particular focus on sites in Utah and the southwestern United States (could be modified to any USGS sites). The code uses the Python DataRetrieval package. The resource is part of set of materials for hydroinformatics and water data science instruction. Complete learning module materials are found in HydroLearn: Jones, A.S., Horsburgh, J.S., Bastidas Pacheco, C.J. (2022). Hydroinformatics and Water Data Science. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:USU+CEE6110+2022/about.
This resources consists of 6 example notebooks: 1. Example 1: Import and plot daily flow data 2. Example 2: Import and plot instantaneous flow data for multiple sites 3. Example 3: Perform analyses with USGS annual statistics data 4. Example 4: Retrieve data and find daily flow percentiles 3. Example 5: Further examination of drought year flows 6. Coding challenge: Assess drought severity
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The size and share of the market is categorized based on Application (Large Data Center, Small and Medium-sized Data Center) and Product (40G, 100G, 200G, 400G, 800G) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).
The LAGOS-US LAKE DEPTH v1.0 module (hereafter, called DEPTH) contains in situ measurements of lake depth for a subset of all lakes (n = 17,675) in the conterminous U.S. > 1 ha (3.7% of 479,950) that are in the LAGOS-US LOCUS v1.0 data module (Smith et al. 2021). All 17,675 lakes in DEPTH have a maximum depth value and 6,137 lakes have a mean depth. DEPTH includes approximately 65 data sources obtained from community, government, and university monitoring programs, as well as academic reports and commercial websites. DEPTH includes lake identifiers, lake location, lake area, lake depth (both maximum and mean depth when available), source information, and data flags. The unique lake identifier (lagoslakeid) for all lakes is the same one used in LAGOS-US LOCUS v1.0.
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.
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.
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All significant network modules were enriched for biological pathways. The top five KEGG pathways enrichment results of each of the 14 modules show that the functional modules have distinct biological functions. The top five KEGG pathways results are given in the table.
Data reported to the NTD by urbanized area transit systems in their annual reports. Includes contact information, contractural relationshps, subrecipient informatino, service area, sources of funds, operating expenditures by object class and function, capital expenditures by object class and function, fixed guideway information, revenue vehicle inventory, fuel consumption, employees, and labor hours, and urbanized area allocation information. Also includes service supplied and consumed by annual total, average weekday, average saturday, and average sunday.
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Japan Domestic Shipment: Module: Others data was reported at 123,084.000 kW in Jun 2018. This records an increase from the previous number of 63,492.000 kW for Mar 2018. Japan Domestic Shipment: Module: Others data is updated quarterly, averaging 148,807.000 kW from Jun 2012 (Median) to Jun 2018, with 25 observations. The data reached an all-time high of 289,108.000 kW in Dec 2013 and a record low of 35,647.000 kW in Jun 2012. Japan Domestic Shipment: Module: Others data remains active status in CEIC and is reported by Japan Photovoltaic Energy Association. The data is categorized under Global Database’s Japan – Table JP.RV.JPEA: Shipment: Solar Module: Quarterly.
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Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Data Modules.