The net absorption in the data center market in the United States has soared since 2020. In 2024, the net absorption peaked at 1.8 gigawatts, up from about one gigawatt in the previous year. Net absorption is the capacity that was rented minus the capacity that became available during the period. In 2024, Atlanta recorded the highest net absorption among the leading markets in the United States.

Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 3.0 Combined Fee, Designation, Easement feature class (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("PADUS3_0_CreateVectorAnalysisFileScript.zip") associated with this data release prioritized overlapping designations (e.g. Wilderness within a National Forest) based upon their relative biodiversity conservation status (e.g. GAP Status Code 1 over 2), public access values (in the order of Closed, Restricted, Open, Unknown), and geodatabase load order (records are deliberately organized in the PAD-US full inventory with fee owned lands loaded before overlapping management designations, and easements). The Vector Analysis File ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") associated item of PAD-US 3.0 Spatial Analysis and Statistics ( https://doi.org/10.5066/P9KLBB5D ) was clipped to the Census state boundary file to define the extent and serve as a common denominator for statistical summaries. Boundaries of interest to stakeholders (State, Department of the Interior Region, Congressional District, County, EcoRegions I-IV, Urban Areas, Landscape Conservation Cooperative) were incorporated into separate geodatabase feature classes to support various data summaries ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip") and Comma-separated Value (CSV) tables ("PADUS3_0SummaryStatistics_TabularData_CSV.zip") summarizing "PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip" are provided as an alternative format and enable users to explore and download summary statistics of interest (Comma-separated Table [CSV], Microsoft Excel Workbook [.XLSX], Portable Document Format [.PDF] Report) from the PAD-US Lands and Inland Water Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). In addition, a "flattened" version of the PAD-US 3.0 combined file without other extent boundaries ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") allow for other applications that require a representation of overall protection status without overlapping designation boundaries. The "PADUS3_0VectorAnalysis_State_Clip_CENSUS2020" feature class ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.gdb") is the source of the PAD-US 3.0 raster files (associated item of PAD-US 3.0 Spatial Analysis and Statistics, https://doi.org/10.5066/P9KLBB5D ). Note, the PAD-US inventory is now considered functionally complete with the vast majority of land protection types represented in some manner, while work continues to maintain updates and improve data quality (see inventory completeness estimates at: http://www.protectedlands.net/data-stewards/ ). In addition, changes in protected area status between versions of the PAD-US may be attributed to improving the completeness and accuracy of the spatial data more than actual management actions or new acquisitions. USGS provides no legal warranty for the use of this data. While PAD-US is the official aggregation of protected areas ( https://www.fgdc.gov/ngda-reports/NGDA_Datasets.html ), agencies are the best source of their lands data.

This controlled data release focuses on CP-NET's initial Clinical Database which solely focused on children and youth, aged 2-18, with a confirmed diagnosis of hemiplegic cerebral palsy (CP). The Hemi-NET Clinical Database has data on 320 children and youth from across Ontario. The released data is organized around the following platforms: (1) Clinical Risk Factor Platform: clinically relevant neonatal and obstetric risk factors from obstetrical and neonatal health charts, (2) Genomics Platform: saliva samples acquired from the index child and both biological parent(s), (3) Neuroimaging Platform: standardized coding of clinically acquired neuroimaging, (4) Neurodevelopmental Platform: standardized assessments of gross motor, fine motor, language, cognitive, behavioural function, and self-reported quality of life.

.NET.NR Whois Database, discover comprehensive ownership details, registration dates, and more for .NET.NR TLD with Whois Data Center.

In 2023, DB HiTek recorded a net income of almost 264 billion South Korean won. This is a decrease compared to the previous year. As a foundry company, DB HiTek was responsible for the manufacturing of semiconductors designed by other fabless companies at their two manufacturing facilities located in South Korea.

.NET.AM Whois Database, discover comprehensive ownership details, registration dates, and more for .NET.AM TLD with Whois Data Center.

PDS: Net Positions: Asset-Backed Securities: Student Loan-Backed Securities data was reported at 3.476 USD bn in 26 Feb 2025. This records a decrease from the previous number of 3.493 USD bn for 19 Feb 2025. PDS: Net Positions: Asset-Backed Securities: Student Loan-Backed Securities data is updated weekly, averaging 2.606 USD bn from Apr 2013 (Median) to 26 Feb 2025, with 622 observations. The data reached an all-time high of 6.260 USD bn in 01 May 2013 and a record low of 555.000 USD mn in 03 May 2023. PDS: Net Positions: Asset-Backed Securities: Student Loan-Backed Securities data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z039: Primary Dealer Statistics: Net Positions.

PDS: Net Positions: Federal Agency (excl MBS): Coupons data was reported at 10.503 USD bn in 26 Feb 2025. This records an increase from the previous number of 10.067 USD bn for 19 Feb 2025. PDS: Net Positions: Federal Agency (excl MBS): Coupons data is updated weekly, averaging 13.456 USD bn from Apr 2013 (Median) to 26 Feb 2025, with 622 observations. The data reached an all-time high of 46.477 USD bn in 17 Apr 2013 and a record low of 5.435 USD bn in 23 Mar 2022. PDS: Net Positions: Federal Agency (excl MBS): Coupons data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z039: Primary Dealer Statistics: Net Positions.

Brazil Net Public Debt to(GDP) Gross Domestic ProductRatio: General Government data was reported at 63.070 % in Dec 2024. This records an increase from the previous number of 63.060 % for Nov 2024. Brazil Net Public Debt to(GDP) Gross Domestic ProductRatio: General Government data is updated monthly, averaging 45.345 % from Jan 1998 (Median) to Dec 2024, with 324 observations. The data reached an all-time high of 66.520 % in Jul 2020 and a record low of 30.080 % in Jan 1998. Brazil Net Public Debt to(GDP) Gross Domestic ProductRatio: General Government data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.FB013: Public Sector Net Debt: % of Nominal GDP: by Sector.

AFND is a public database containing frequency information of several immune genes such as Human Leukocyte Antigens (HLA), Killer-cell Immunoglobulin-like Receptors (KIR), Major histocompatibility complex class I chain-related (MIC) genes, and a number of cytokine gene polymorphisms. It contains information at allele, haplotype and genotype level depending on the polymorphism. Users can navigate in a number of different options to search population frequencies, and also some other tools that can be useful for the community.

US: Net External Debt: Central Bank: Short Term: Debt Securities data was reported at 0.000 USD mn in Dec 2016. This stayed constant from the previous number of 0.000 USD mn for Sep 2016. US: Net External Debt: Central Bank: Short Term: Debt Securities data is updated quarterly, averaging 0.000 USD mn from Jun 2015 (Median) to Dec 2016, with 7 observations. US: Net External Debt: Central Bank: Short Term: Debt Securities data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: QEDS: Net External Debt.

Sweden Net Sales & Net Assets: North America: Net Sales data was reported at -13,676.711 SEK mn in Feb 2025. This records a decrease from the previous number of -135.295 SEK mn for Jan 2025. Sweden Net Sales & Net Assets: North America: Net Sales data is updated monthly, averaging 368.123 SEK mn from Jan 2010 (Median) to Feb 2025, with 182 observations. The data reached an all-time high of 6,372.641 SEK mn in Nov 2024 and a record low of -13,676.711 SEK mn in Feb 2025. Sweden Net Sales & Net Assets: North America: Net Sales data remains active status in CEIC and is reported by Swedish Investment Fund Association. The data is categorized under Global Database’s Sweden – Table SE.O028: Net Sales and Net Assets: by Region.

United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Basic Materials Index data was reported at 2,164.190 NA in Jan 2025. This records an increase from the previous number of 2,043.290 NA for Dec 2024. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Basic Materials Index data is updated monthly, averaging 1,386.685 NA from Dec 2012 (Median) to Jan 2025, with 146 observations. The data reached an all-time high of 2,338.650 NA in Sep 2024 and a record low of 916.580 NA in Jan 2016. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Basic Materials Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Net Total Return: Monthly.

The database is subject to the IEA’s Terms and Conditions, available at https://www.iea.org/terms.

The Net Zero by 2050 dataset includes figures and tables from the publication along with projections at global level for the Net Zero Emissions by 2050 Scenario (NZE) based on detailed modelling of the energy sector.

You can also read the full Net Zero by 2050 report, or explore specific indicators on our Net Zero by 2050 Data Browser.

Database of beetle specimens preserved in the National Institute for Agro-Environmental Sciences (NIAES)

These data describe the catch and biological data from 363 bottom-set gill-net lifts distributed throughout Lake Michigan (including main basin and Green Bay) between April and November in 1930–1932. Data collected from the R/V Fulmar were recorded in notebooks and are now archived at the U.S. Geological Survey’s Great Lakes Science Center. Each lift included 1–7 gangs of linen gill nets. Each gang comprised 3–5 panels each having a length of 155 m, a height of 1.5 m, and a (stretch-)mesh size of either 60, 64, 67, 70, or 76 mm. The digitization of the Fulmar data notebooks was started in the late 1990s and finished in this study.

Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.

10217 Global import shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Nutrients and zooplankton data were collected from net and bottle casts from the ALAMINOS and other platforms in the South Pacific Ocean and other locations. Data were collected by Scripps Institute of Oceanography (SIO) from 31 January 1967 to 23 September 1967. Bottle data include concentrations of chlorophyll a, phaeopigment, phosphate, nitrate, ammonium, and total pigment. Zooplankton samples were obtained from oblique tows and parameters include maximum tow depth, total water volume passed through net, small plankton volume, total plankton volume, and standard haul factor.

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