AndreaBozzo/ceres-open-data-index huggingface dataset:
Simulated Load Profiles for DOE Commercial Reference Buildings (17 Years Using NSRDB Data)

This data set consists of simulated load profiles (1998-2014, 30 minute profile) for commercial customers using the Pacific Northwest National Laboratory residential prototype building models and the US Department of Energy's (DOE) commercial reference building models made for EnergyPlus simulation software (versions 8.4 and 8.5). For the data in each csv, column A represents samples every thirty minutes staring at January 1, 1998 at 00:00 and ending at December 31, 2014 at 23:30. Row 1 represents the commercial building type. The following rows represent the building load in kW.

This data makes use of modeled weather data using the Physical Solar Model (PSM) downloaded from the National Renewable Energy Laboratory's National Solar Radiation Database (NSRDB) for 15 sites in the continental US (downloaded 09/11/2016).

For more information on the project, tools used, and datasets used, see the numbered references linked below. For updated data resources, see the "ResStock" (residential building stock), "ComStock" (commercial building stock), and "End-Use Load Profiles for the U.S. Building Stock" resources linked below. 



Tags: building, building-model, buildings, commercial, commercial-buildings, commercial-reference-building, data, electricity, energy, energyplus, load-profile, load-profiles, model, national-solar-radiation-database, nsrdb, physical-solar-model, processed-data, psm, reference, simulated-load, usage
Organization: Department of Energy
Vermont High Resolution Wind Resource

A shapefile of annual average wind resource potential for Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Lambert Azimuthal projection. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, nrel, renewable, shapefile, vermont, wind, wind-data, wind-resource
Organization: Department of Energy
Utah High Resolution Wind Resource

A shapefile of annual average wind resource potential for Utah, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 17, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, nrel, renewable, shapefile, utah, wind, wind-data, wind-resource
Organization: Department of Energy
United States Mid-Atlantic Regional High Resolution Wind Resource

A shapefile of annual average wind resource potential of the mid-Atlantic United States at a 50 meter height. States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 17, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, mid-atlantic, nrel, renewable, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy
Geological and anthropological considerations in relocating Shishmaref, Alaska

Geological and anthropological considerations in relocating Shishmaref, Alaska, Report of Investigation 96-7, presents a surficial geologic map developed in 1995 based on a reconnaissance study of the sedimentary characteristics and engineering properties of several potential relocation sites proposed by the City of Shishmaref, Alaska. The island community, located on Alaska's northwest coast, faces annual threats from storm surges and progressive bluff erosion, which could accelerate if rising sea levels result from greenhouse effects. One proposed solution to this severe erosion issue is the relocation of the village to the Seward Peninsula mainland. The complete report, geodatabase, and ESRI fonts and style files are available from the Alaska Division of Geological & Geophysical Surveys website: http://doi.org/10.14509/2536.

Tags: age dates, alluvial, analyses, arctic lagoon, bering straits crsa coastal district, bluff, c14, channel, city of shishmaref, climate, coastal, coastal and river, cultural resources, depositional environment, egg island, engineering, engineering geology, environmental, erosion, flood, gelifluction, generalized, geochronology, geologic, geologic hazards, geology, geomorphology, geotechnical, geothermal, goose creek, hazards, historic resources, holocene, interpretation, inundation, kreuger creek, permafrost, permafrost and periglacial, radiocarbon ages, radiocarbon dating, sand, sarichef island, sea level changes, sediment, shelf, shishmaref, shishmaref inlet, shoreface, subsidence, surface, surficial, thaw lakes, thermokarst, tides, tin creek, topography, transgressive, trout creek, vegetation, water
Organization: State of Alaska
Kuskokwim airborne magnetic and radiometric survey, northern Kaiyuh Mountains, Alaska

Kuskokwim airborne magnetic and radiometric survey, northern Kaiyuh Mountains, Alaska, Geophysical Report 2025-3, covers parts of the the Nulato Quadrangle west of Fairbanks, Alaska. Magnetic and radiometric data were collected with a helicopter between June 4 and 17, 2024, by EON Geosciences Inc. The survey contains a single block covering 1,975 km2, which includes an infill block with tighter line spacing located in the northcentral portion of the block. A total of 6,459 line-kilometers were collected. The magnetometer was installed inside the stinger attached to the helicopter nose. The airborne gamma-ray spectrometer was mounted on the interior floor of the helicopter cabin. The block was flown with a line spacing of 400 m and the northcentral infill block was flown with 200 m spacing. Tie-lines for magnetic leveling were flown at 1,600 m spacing. The data, as well as additional metadata, are available from the DGGS website: http://doi.org/10.14509/31493.

Tags: aeromagnetic, aeromagnetic data, aeromagnetic map, aeromagnetic survey, airborne geophysical survey, analytic signal, bedrock geology, bishop creek, bonanza creek, branch creek, california creek, camp creek, colorado creek, critical minerals, dggs, dome creek, earth mri, economic geology, economic study, eddy creek, electromagnetic anomalies, electromagnetic data, electromagnetic data inversion, electromagnetic survey, exploration, galena creek, geology, geophysical map, geophysical survey, geophysics, geophysics search tag, gridded data, illinois creek, kaiyuh mining district, kaiyuh mountains, kala creek, kalakaket creek, kelly creek, khotol mountain, kinkaid creek, magnetic contours, magnetic data, magnetic survey, magnetic susceptibility, magnetics, mineral assessment, mineral deposit, mineral deposit models, mineral development, mineral exploration, mineral resources, minerals, minnesota creek, radiometric survey, radiometrics, remote sensing, ruby mining district, totson mountain, yuki river, yukon creek
Organization: State of Alaska
Geologic map of the Fairbanks D-1 SW Quadrangle, Alaska

Geologic map of the Fairbanks D-1 SW Quadrangle, Alaska, Miscellaneous Investigations Series Map 949, presents the findings of a geologic investigation into bedrock and surficial deposits within the Fairbanks D-1 quadrangle, a 60-square-mile region in central Alaska. The area encompasses parts of the Fairbanks urban area, including the community of North Pole. With a rich history of gold mining, the region continues to be actively mined for gravel and other geologic materials. A thick blanket of Quaternary-age loess, ranging from a few inches to several hundred feet, covers nearly the entire quadrangle. Urban developers face ongoing challenges related to groundwater contamination, thermokarst formation, and issues stemming from land subsidence. The map is designed to provide broad guidelines to assist city planners and land-use decision-makers in managing development within the area. The complete report, geodatabase, and ESRI fonts and style files are available from the DGGS website: https://dggs.alaska.gov/pubs/12954.

Tags: alluvium, basalt, bedrock, bedrock geology, bonnifield mining district, browns hill, chena alluvium, chena river, chena slough, clay, eolian, fairbanks loess, fairbanks mining district, feldspar, fossils, gems db l3 compliant, gems db v2, geologic, geologic map, geology, gneiss, goldstream formation, gravel, holocene, hopper creek, ice, igneous, igneous rocks, intrusive, iron, little chena river, loess, mesozoic, metamorphic, metamorphic rocks, mica, north pole, paleozoic, peat, permafrost, pingos, pleistocene, quartz, ready bullion formation, sand, silt, solifluction, steele creek, surficial, surficial geologic map, surficial geology, tanana formation, tanana river, tertiary, unconsolidated deposits, volcanic
Organization: State of Alaska
SFEC Form 114.5 - Behested Contributions Received by Certain Committees - Contributions

Under San Francisco Campaign & Governmental Conduct Code Section 1.114.5(b)(2), any ballot measure committee or committee making independent expenditures that receives contributions totaling $5,000 or more in a calendar year at the behest of a City elective officer shall file Form 114.5. “At the behest of” means under the control or at the direction of, in cooperation, consultation, coordination, or concert with, at the request or suggestion of, or with the express, prior consent of. However, a contribution is not made at the behest of a public official solely because the official requested the contribution via television, radio, billboard, a public message on an online platform, the distribution of 200 or more identical pieces of printed material, the distribution of a single email to 200 or more recipients, or a speech to a group of 20 or more individuals.

The committee must file Form 114.5 no later than the deadline to file the semi-annual or pre-election campaign statement that must report the contribution that makes the cumulative total $5,000 or more. For more information visit www.sfethics.org.

Each row in this dataset represents a contribution reported in the Itemized Contributions sub-table of a Form 114.5 filed with the Ethics Commission. The parent filing and form data is available in a separate dataset: "SFEC Form 114.5 - Behested Contributions Received by Certain Committees - Filings" at <a href="https://data.sfgov.org/City-Management-and-Ethics/SFEC-Form-114-5-Behested-Contributions-Received-by/hyuc-khdi">https://data.sfgov.org/City-Management-and-Ethics/SFEC-Form-114-5-Behested-Contributions-Received-by/hyuc-khdi</a>. <a href="https://sfethics.org/disclosures/how-to-join-disclosure-datasets-using-microsoft-excel">Join this dataset with the sub-table using the DocuSignID</a>.

Organization: City of San Francisco
2024 Cartographic Boundary File (KML), Unified School District for North Carolina, 1:500,000

The 2024 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.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, generalized, kml, nc, north carolina, school district, unified school district
Organization: U.S. Census Bureau, Department of Commerce
SFEC Form 114.5 - Behested Contributions Received by Certain Committees - Filings

Under San Francisco Campaign & Governmental Conduct Code Section 1.114.5(b)(2), any ballot measure committee or committee making independent expenditures that receives contributions totaling $5,000 or more in a calendar year at the behest of a City elective officer shall file Form 114.5. “At the behest of” means under the control or at the direction of, in cooperation, consultation, coordination, or concert with, at the request or suggestion of, or with the express, prior consent of. However, a contribution is not made at the behest of a public official solely because the official requested the contribution via television, radio, billboard, a public message on an online platform, the distribution of 200 or more identical pieces of printed material, the distribution of a single email to 200 or more recipients, or a speech to a group of 20 or more individuals.

The committee must file Form 114.5 no later than the deadline to file the semi-annual or pre-election campaign statement that must report the contribution that makes the cumulative total $5,000 or more. For more information visit www.sfethics.org.

Each row on this table represents the contents of a Form 114.5 filed with the Ethics Commission. There is one sub-tables of information on Form 114.5: Itemized Contributions. The sub-table is available in a separate dataset: "SFEC Form 114.5 - Behested Contributions Received by Certain Committees - Contributions" at <a href="https://data.sfgov.org/City-Management-and-Ethics/SFEC-Form-114-5-Behested-Contributions-Received-by/mq45-f9zi">https://data.sfgov.org/City-Management-and-Ethics/SFEC-Form-114-5-Behested-Contributions-Received-by/mq45-f9zi</a>. <a href="https://sfethics.org/disclosures/how-to-join-disclosure-datasets-using-microsoft-excel">Join this dataset with the sub-table using the DocuSignID</a>.

Organization: City of San Francisco
Barricade Service Area

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This dataset depicts the service area boundaries for the City-Parish Department of Transportation and Development Traffic Engineering Division. Barricade equipment is stored in three service facilities in East Baton Rouge Parish, and dispatchers call out for barricade crews when road closures occur.</SPAN></P><P><A href="https://city.brla.gov:443/gis/metadata/SERVICE_BARRICADE_AREA.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Metadata</SPAN></A></P></DIV></DIV>

Tags: barricade, closure, ebrp, gis, road, traffic, transportation
Organization: City of Baton Rouge
1.15 Insurance Services Organization (summary)

<p>ISO is an independent advisory organization that collects information on a community's building-code adoption and enforcement services in order to provide a ranking for insurance companies. ISO assigns a Building Code Effectiveness Classification from 1 to 10 based on the data collected. Class 1 represents exemplary commitment to building-code enforcement.</p><p>Municipalities with better rankings are lower risk, and their residents' insurance rates can reflect that. The prospect of minimizing catastrophe-related damage and ultimately lowering insurance costs gives communities an incentive to enforce their building codes rigorously.</p><p>This page provides data for the Insurance Services Organization (ISO) performance measure.&nbsp;</p><p>This data includes residential and commercial building code enforcement ratings for the City of Tempe.</p><p>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/insurance-services-organization-iso-rating' rel='nofollow ugc noopener noreferrer'>1.15 Insurance Services Organization (ISO) Rating</a></p><p><strong>Additional Information</strong></p><p>Source: Insurance Service Organization Rating</p><p>Contact: Chris Thompson</p><p>Contact E-Mail: Christopher_Thompson@tempe.gov</p><p>Data Source Type: Excel</p><p>Preparation Method: Information added to Excel spreadsheet from rating report</p><p>Publish Frequency: Every 5 Years</p><p>Publish Method: Manual</p><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/1.15-insurance-services-organization' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br />&nbsp;</p>

Tags: safe-and-secure-communities
Organization: City of Tempe
2024 Cartographic Boundary File (KML), State Legislative District (SLD) Lower Chamber for South Carolina, 1:500,000

The 2024 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 2024 election year and provided by state-level participants through the RDP.

Tags: 2024, cartographic boundary, generalized, kml, lower chamber, lower district, sc, south carolina, state legislative district
Organization: U.S. Census Bureau, Department of Commerce
1.28 Criminal Division (detail) - archived dataset

<div>The City Attorney’s office is responsible for the legal affairs of the City by providing civil and criminal (prosecution) services. The Civil Division provides legal counsel and advice on a wide range of issues affecting the City. The Criminal Division prosecutes misdemeanor and criminal city code violations committed in the city, including State and local laws. This performance measure contributes to a safe and secure community through the protection of rights for all individuals during the criminal prosecution process.&nbsp;</div><div>&nbsp;</div><div>This data includes a detailed summary of the Criminal Division survey results relating to this performance measure.&nbsp;</div><div>&nbsp;</div><div><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'>This page provides data for the Criminal Division performance measure.<br />&nbsp;</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/criminal-division' rel='nofollow ugc noopener noreferrer'>1.28 Criminal Division</a>.</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'><strong>Additional Information</strong></p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'>Source:&nbsp;Surveys (Tempe online and hard copy)<br />Contact:&nbsp;Sonia Espinoza<br />Contact email:&nbsp;Sonia_Espinoza@tempe.gov<br />Preparation Method:&nbsp;The data is a summary of surveys both sent to and received from victims.&nbsp; Results were combined, averaged, and rolled up to a summary score for each category.<br />Publish Frequency: Annual by&nbsp;Fiscal Year<br />Publish Method:&nbsp;Manual<br /><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/1.28-criminal-division-timely-case-management' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></p></div>

Tags: attorney, attorneys-office, criminal-division, criminal-division-pm-1-28, safe-and-secure-communities
Organization: City of Tempe