AndreaBozzo/ceres-open-data-index huggingface dataset:
2023 Cartographic Boundary File (SHP), State Legislative District (SLD) Lower Chamber for Iowa, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

Tags: 2023, cartographic boundary, generalized, ia, iowa, lower chamber, lower district, shp, state legislative district
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (SHP), State Legislative District (SLD) Lower Chamber for Alaska, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

Tags: 2023, ak, alaska, cartographic boundary, generalized, lower chamber, lower district, shp, state legislative district
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (KML), State Legislative District (SLD) Upper Chamber for Idaho, 1:500,000

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

Tags: 2023, cartographic boundary, generalized, id, idaho, kml, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (KML), County Subdivision for Oklahoma, 1:500,000

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  

The generalized boundaries of legal MCDs are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2023, cartographic boundary, county, county subdivision, generalized, kml, ok, oklahoma
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (KML), Block Group for Oregon, 1:500,000

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.

The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2023, block group, cartographic boundary, census tract, county, generalized, kml, or, oregon
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (SHP), County Subdivision for Guam, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  

The generalized boundaries of legal MCDs are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2023, cartographic boundary, county, county subdivision, generalized, gu, guam, shp
Organization: U.S. Census Bureau, Department of Commerce
California Grants Portal- Grants Offered

The Grant Information Act of 2018 (Stats. 2018, Ch. 318) required the State Library to build one website by July 1, 2020, “that provides a centralized location … to find state grant opportunities.” State agencies provide all information on grants.ca.gov to the State Library for publication. The Grant Information Act requires state agencies to provide summaries of each of their grant or loan opportunities, including information about how to apply and links that grantseekers can follow for more details. 

*FYI* If you're not familiar with data.ca.gov, you can download the csv and find the API call by clicking on the "Explore" button below. 

*Note*: the data set updates every 24 hours at 8:45pm.

Tags: business, california-grants-portal, grants, individual, loans, nonprofit, publicagency, tribalgovernment
Organization: State of California
Drinking Water - SAFER Dashboard Failing and At-Risk Drinking Water Systems

The Division of Drinking Water (DDW) identifies Failing and At-Risk community water systems and K-12 non-transient, non-community schools. This information is displayed online in the Safe and Affordable Funding for Equity and Resilience (SAFER) Dashboard. The data utilized for this assessment is derived from multiple sources: self-reported from water systems, data generated by DDW staff, other California state agencies, and U.S. Census. The data sources, calculation methods, Failing and At-Risk criteria, etc. are fully documented in the annual Drinking Water Needs Assessment report which is published annually on the State Water Board’s website.

Tags: drinking-water, needs-assessment, risk-assessment, safer
Organization: State of California
Housing Element Compliance Report

California requires that all local governments (cities and counties) adequately plan to meet the housing needs of everyone in the community. California’s local governments meet this requirement by adopting housing plans as part of their “general plan”. General plans serve as the local government’s "blueprint" for how the city and/or county will grow and develop and include eight elements: land use, transportation, conservation, noise, open space, safety, environmental justice, and housing.

The Housing Element Compliance Report provides current Housing Element Compliance Status. Additional information about Housing Elements can be found on HCD’s website here: https://www.hcd.ca.gov/planning-and-community-development/housing-elements.

Tags: housing-compliance, housing-cycle, housing-element, housing-element-compliance, housing-element-review, housing-element-submission, planning-cycle, planning-period
Organization: State of California
Data for "Enhanced Gain Extrapolation Technique: a third-order scattering approach for high-accuracy antenna gain, sparse sampling, at Fresnel distances"

In this paper we describe an enhanced three-antennagain extrapolation technique that allows one to determine antennagain with significantly fewer data points and at closerdistances than with the well-established traditional three-antennagain extrapolation technique that has been in use for overfive decades. As opposed to the traditional gain extrapolationtechnique, where high-order scattering is purposely ignored soas to isolate only the direct antenna-to-antenna coupling, we showthat by incorporating third-order scattering the enhanced gainextrapolation technique can be obtained. The theoretical foundationusing third-order scattering is developed and experimentalresults are presented comparing the enhanced technique andtraditional technique for two sets of internationally recognizedNIST reference standard gain horn antennas at X-band and Ku-band.We show that with the enhanced technique gain values forthese antennas are readily obtained to within stated uncertaintiesof ±0.07 dB using as few as 10 data points per antenna pair,as opposed to approximately 4000 -to- 8000 data points per antenna pairthat is needed with the traditional technique. Furthermore, withthe described enhanced technique, antenna-to-antenna distancescan be reduced by a factor of three, and up a factor of six insome cases, compared to the traditional technique, a significantreduction in the overall size requirement of facilities used toperform gain extrapolation measurements.

Tags: antenna, antenna-gain, gain, gain-extrapolation, sparse-measurements
Organization: National Institute of Standards and Technology
Historical Case Studies for Coatings

Data present in references cited are in graphs, tables, and/or text. This dataset is not publicly accessible because: Data are publicly available in the references cited. It can be accessed through the following means: Accessing the references. Format: Journal articles (references for the review article) contain data on which percent efficiencies (when presented in the manuscript) were calculated. 

This dataset is associated with the following publication:
Butler, B.A., and L.E. Brase. Critical Review of Field Studies of Chemical Surface Coatings to Mitigate Leaching from Mining Wastes.   Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 43: 03-15, (2024).

Tags: microencapsulation, passivation, remediation, source-control
Organization: U.S. Environmental Protection Agency
NIST-CSF-to-NERC-CIP-OLIR-Mapping Informative Reference Details

The purpose of this mapping is to provide the relationship between NIST Cybersecurity Framework (CSF) v1.1 and the NERC Critical Infrastructure Protection (CIP) Standards.Target Audience:The intended audience are NERC registered entities of the Energy Sector Critical Infrastructure, electric segment, seeking to enhance the cyber security of the bulk electric system.This record supersedes https://doi.org/10.18434/mds2-2348

Tags: bulk-electric-system, cip, critical-infrastructure, cybersecurity, cybersecurity-framework, nerc, reliability, risk-management, standards, subcategories
Organization: National Institute of Standards and Technology
Optical n(p, T_90) measurement suite 2: H_2O and D_2O

Supplementary data for the article "Optical n(p, T_{90}) measurement suite 2: H_2O and D_2O" in International Journal of Thermophysics, by P.F Egan and Y. Yang.The supplementary material is an archive file of research data containing the n(p, T_{90}) datasets for ordinary water H_2O and heavy water D_2O measured at 633 nm wavelength.  The data files also include uncorrected refractivity (raw data with the epsilon_phi error present).  An included script operates on the uncorrected data and implements the analysis of App. 2 to produce the temperature dependent polarizabilities, and reproduce Fig. 1.  The end-product A_R(T) data underlying Fig. 1(b) and (d) are tabulated in a separate text file.  Information is also included to reproduce Fig. 3.

Tags: polarizability, refractometry, thermodynamic-metrology, water-vapor
Organization: National Institute of Standards and Technology
Code and data to run the reference case simulation for Walsh et al "Pulse interaction induced systematic errors in dual comb spectroscopy"

This dataset contains the code to run the reference case in Walsh et al "Pulse interaction induced systematic errors in dual comb spectroscopy". The code simulates dual combs interferograms at the field level using a generalized non-linear Schrödinger equation to account for non linear propagation is a fiber.

Tags: dual-comb-spectroscopy, nonlinear-fiber-optics
Organization: National Institute of Standards and Technology
Using EM Side-Channels Near a Bluetooth Server Implementation to Monitor Bit-Level Leakages in BLE Communications Channels

Dataset for figures in the publication, "Using EM Side-Channels Near a Bluetooth Server Implementation to Monitor Bit-Level Leakages in BLE Communications Channels," by V.V Iyer and J.D. Rezac (GLSVLSI 2024). The abstract for this publication is as follows: Unintentional electromagnetic (EM) emanations from general purpose embedded systems have been comprehensively studied as data recovery and monitoring tools for hardware security. While the potency of these physical side channels has been repeatedly demonstrated on embedded cryptosystems and microprocessors, limited work has been performed on judging their effectiveness in surveilling wireless communication between interconnected devices. This work uses EM side channels near a Bluetooth Low Energy (BLE) server to recover data received from a client. The method uses near-field EM scans to isolate on-chip locations susceptible to data leakage. At these locations, information leakage from a p-bit data value is partitioned into p bit-wise components. These components are individually and independently classified using SVMs trained on a novel side-channel metric. Only O(p^2) measurements and p bit-wise classifications are needed to identify which of the 2^p possible values has been received. The performance of the method is evaluated using the average recovery rate across bits in several unknown test data packets?a recovery rate of ? 96% was observed when the method was tested on a commercial BLE module.

Tags: near-field-metrology-side-channel-security-ble-communication-wireless-systems
Organization: National Institute of Standards and Technology
Traceable RF Power Metering Procedures With Thermoelectric Sensors.

The National Institute of Standards and Technology (NIST) maintains the United States' primary standards for traceable RF and mm-wave power measurements. In the 2.4 mm connector type, the specialized sensors that NIST currently uses as primary standards are not commercially available, which raises concerns about the long-term sustainability of NIST's measurement capabilities. These concerns motivated us to explore the option of using commercially available thermoelectric power sensors. In this paper, we describe a power metering procedure and a preliminary uncertainty analysis for a power sensor that could be used for traceable RF power measurements. With our metering procedure we see good metered power linearity up to about 17 mW of RF power, weak temperature dependence, and an overall fractional measurement uncertainty of about 0.10\% (k = 1).

Tags: calibration-services, measurement, power, power-metering, radio-frequency, thermoelectric-sensor
Organization: National Institute of Standards and Technology
Using Open-Path Dual-Comb Spectroscopy to Monitor Methane Emissions from Simulated Grazing Cattle

Data published in the paper "Using Open-Path Dual-Comb Spectroscopy to Monitor Methane Emissions from Simulated Grazing Cattle".  A controlled methane release experiment was performed to determine if dual comb spectroscopy (DCS) can detect methane concentration enhancements above the atmospheric background produced by a typical herd of beef cattle in an extensive grazing system. Open-path DCS was used to measure downwind and upwind methane concentrations from ten point-sources of methane simulating cattle.  The assets include all data taken during the field campaign, calculated methane flux, and data explicitly plotted in the paper figures.

Tags: agriculture, atmospheric-measurements
Organization: National Institute of Standards and Technology
IARPA BETTER (Better Extraction from Text Towards Enhanced Retrieval) information extraction and information retrieval datasets.

Cross-language information extraction and retrieval datasets developed for the evaluation of the IARPA BETTER program.  The documents come from CommonCrawl.  The IE annotations in three schemas are by MITRE and ARLIS.  The IR queries and relevance judgments were done at NIST, and NIST was asked by IARPA to distribute the data in its final form.  The tasks are all cross-language from English into one of Arabic, Farsi, Russian, Chinese, and Korean

Tags: information-extraction-information-retrieval-cross-language-information-retrieval
Organization: National Institute of Standards and Technology