67 datasets found
  1. h

    html-eval

    • huggingface.co
    Updated Nov 19, 2025
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    Nex AGI (2025). html-eval [Dataset]. https://huggingface.co/datasets/nex-agi/html-eval
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Nex AGI
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    HTML Generation Evaluation

      Overview
    

    To evaluate our model's HTML generation performance, we have constructed a comprehensive evaluation dataset covering diverse web development scenarios. This dataset includes:

    Web Development: Landing pages, e-commerce sites, responsive layouts, and financial dashboards 3D Scene Design: WebGL scenes, Three.js applications, and interactive 3D models Game Design: Browser-based games, interactive gameplay, and physics-based games Physics… See the full description on the dataset page: https://huggingface.co/datasets/nex-agi/html-eval.

  2. h

    bigdoc-ft-html

    • huggingface.co
    Updated Nov 19, 2024
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    Rabiul Awal (2024). bigdoc-ft-html [Dataset]. https://huggingface.co/datasets/rabiulawal/bigdoc-ft-html
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 19, 2024
    Authors
    Rabiul Awal
    Description

    rabiulawal/bigdoc-ft-html dataset hosted on Hugging Face and contributed by the HF Datasets community

  3. h

    WebClasSeg25-html-nodes-mc

    • huggingface.co
    Updated Jul 11, 2025
    + more versions
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    Jonathan Gerber (2025). WebClasSeg25-html-nodes-mc [Dataset]. https://huggingface.co/datasets/gerbejon/WebClasSeg25-html-nodes-mc
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    Dataset updated
    Jul 11, 2025
    Authors
    Jonathan Gerber
    Description

    WebClasSeg25 Dataset Collection

    The WebClasSeg25 dataset series provides structured data for webpage segment detection, offering both functional segmentation (FC) and maturity classification (MC). The datasets are designed for accessibility and ease of use in model training, with different levels of granularity.

      Dataset Collection Overview
    
    
    
    
    
    
    
      WebClasSeg25-html
    

    Contains the full HTML code of each website.
    Each page is assigned a unique key, which links… See the full description on the dataset page: https://huggingface.co/datasets/gerbejon/WebClasSeg25-html-nodes-mc.

  4. h

    html

    • huggingface.co
    Updated Jan 20, 2025
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    zzz (2025). html [Dataset]. https://huggingface.co/datasets/Moyuu/html
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    Dataset updated
    Jan 20, 2025
    Authors
    zzz
    Description

    Moyuu/html dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. DisMAP Regions 20220307

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Mar 7, 2022
    + more versions
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    NMFS Office of Science and Technology (2022). DisMAP Regions 20220307 [Dataset]. https://www.fisheries.noaa.gov/inport/item/66893
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    Dataset updated
    Mar 7, 2022
    Dataset provided by
    National Marine Fisheries Servicehttps://www.fisheries.noaa.gov/
    Area covered
    Description

    These files contain the spatial boundaries of the NOAA Fisheries Bottom-trawl surveys. This data set covers 7 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Eastern Bering Sea, Aleutian Islands, and Gulf of Alaska.

  6. h

    c4-en-html-with-metadata

    • huggingface.co
    Updated Apr 20, 2011
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    Big Science - Modeling Metadata (2011). c4-en-html-with-metadata [Dataset]. https://huggingface.co/datasets/bs-modeling-metadata/c4-en-html-with-metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2011
    Dataset authored and provided by
    Big Science - Modeling Metadata
    Description

    bs-modeling-metadata/c4-en-html-with-metadata dataset hosted on Hugging Face and contributed by the HF Datasets community

  7. C

    DSM2 FC.2023.01

    • data.cnra.ca.gov
    • data.ca.gov
    • +2more
    zip
    Updated Aug 18, 2023
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    California Department of Water Resources (2023). DSM2 FC.2023.01 [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-fc-2023-01
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    zip(409103390)Available download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    California Department of Water Resources
    Description

    Release Notes

    The following is a summary of the differences between the current release DSM2 FC.2023.01 and the previous release DSM2 v8.2.2:

    • Updated cross-sections and channel lengths using the DSM2 GIS Reference Project, which used 2018 bathmetry, and determined channel lengths using the CSDP centerline lengths (for more information, see Chapter 2 of the 2020 Annual Report at https://data.cnra.ca.gov/dataset/dsm2/resource/010599fd-6d3c-42a6-bade-37822d4aa486).
    • Added reservoirs to represent the Yolo Flyway, Decker Island, and Tule Red restoration areas
    • Added channels to represent the Lindsey Slough restoration area.
    • Added a channel to connect the two branches of Paradise Cut.
    • Added channels to connect the Yolo Flyway, Decker Island, and Tule Red Restoration areas to the model grid.
    • Added layered reservoir input for all reservoirs.
    • Added channels for the Yolo Toe Drain, aka Prospect Slough.
    • Added Yolo Toe Drain inflow data as a boundary inflow.
    • Removed low flows from Calaveras flow input (lower flows don't make it to the Delta).

    This release contains time series inputs from the 2022 DSM2 historical release, with the following changes: - removed lower flow values from Calaveras River inflow time series. These lower flows do not actually make it to the Delta. - Added a time series for Yolo Toe Drain (aka Prospect Slough) inflow.

    Source Code: DSM2 HYDRO, QUAL, and PTM:
    https://github.com/CADWRDeltaModeling/dsm2/releases/

  8. u

    Census TIGER data base

    • gstore.unm.edu
    zip
    Updated Feb 25, 2009
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    Earth Data Analysis Center (2009). Census TIGER data base [Dataset]. http://gstore.unm.edu/apps/rgisarchive/datasets/b0418ae3-b9a5-4e9e-8980-449efdec23ab/metadata/FGDC-STD-001-1998.html
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    zip(4)Available download formats
    Dataset updated
    Feb 25, 2009
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    2000
    Area covered
    West Bounding Coordinate -107.626559 East Bounding Coordinate -105.656934 North Bounding Coordinate 37.000138 South Bounding Coordinate 35.930694, Rio Arriba County (35039)
    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

  9. d

    Parking Blockface

    • opendata.dc.gov
    • catalog.data.gov
    Updated Oct 25, 2024
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    City of Washington, DC (2024). Parking Blockface [Dataset]. https://opendata.dc.gov/datasets/DCGIS::parking-blockface
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset includes all block faces with parking in Washington, DC according to their digital curb identification number. Attributes include block address with side of street, resident permit parking zone, payment zones, rush hour restrictions, some revenue and generalized curbside policy.

  10. L

    RDForms - representing HTML form and field semantics

    • liveschema.eu
    csv, rdf, ttl
    Updated Dec 17, 2020
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    DERI Vocabularies (2020). RDForms - representing HTML form and field semantics [Dataset]. http://liveschema.eu/dataset/cue/deri_rdforms
    Explore at:
    csv, rdf, ttlAvailable download formats
    Dataset updated
    Dec 17, 2020
    Dataset provided by
    DERI Vocabularies
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A vocabulary that defines how to represent HTML forms and fields (input, select, etc.) and CRUD operations on the fields. See http://esw.w3.org/topic/PushBackDataToLegacySourcesRDForms for more details.

  11. Coho Salmon Watersheds [ds961]

    • data-cdfw.opendata.arcgis.com
    • data.cnra.ca.gov
    • +5more
    Updated Jan 12, 2005
    + more versions
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    California Department of Fish and Wildlife (2005). Coho Salmon Watersheds [ds961] [Dataset]. https://data-cdfw.opendata.arcgis.com/datasets/CDFW::coho-salmon-watersheds-ds961
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    Dataset updated
    Jan 12, 2005
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This data set is an extract of the California Watershed (calwater) dataset. It has been generalized to hydrologic sub-areas for those watersheds that are considered part of the historical coho salmon range.

  12. Flood Hazard Areas (Only FEMA - digitized data)

    • geodata.vermont.gov
    • anrgeodata.vermont.gov
    • +6more
    Updated Dec 15, 2015
    + more versions
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    Vermont Agency of Natural Resources (2015). Flood Hazard Areas (Only FEMA - digitized data) [Dataset]. https://geodata.vermont.gov/datasets/VTANR::flood-hazard-areas-only-fema-digitized-data
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    Dataset updated
    Dec 15, 2015
    Dataset provided by
    Vermont Agency Of Natural Resourceshttp://www.anr.state.vt.us/
    Authors
    Vermont Agency of Natural Resources
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    The entire Vermont extent of the National Flood Hazard Layer (NFHL) as acquired 12/15/15 from the FEMA Map Service Center msc.fema.gov upon publication 12/2/2015 and converted to VSP.The FEMA DFIRM NFHL database compiles all available officially-digitized Digital Flood Insurance Rate Maps. This extract from the FEMA Map Service Center includes all of such data in Vermont including counties and a few municipalities. This data includes the most recent map update for Bennington County effective 12/2/2015.DFIRM - Letter of Map Revision (LOMR) DFIRM X-Sections DFIRM Floodways Special Flood Hazard Areas (All Available)

  13. o

    Milepoints - Tenths

    • geohub.oregon.gov
    • data.oregon.gov
    • +2more
    Updated Jul 24, 2025
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    State of Oregon (2025). Milepoints - Tenths [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::milepoints-tenths
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    This data contains milepoints in 1/10th mile increments on state owned highways.

    Additional metadata resouce: https://geoportalprod-ordot.msappproxy.net/geoportal/catalog/main/home.page

  14. t

    City of Tempe 2021 Community Survey Data

    • data.tempe.gov
    • open.tempe.gov
    • +7more
    Updated Nov 2, 2021
    + more versions
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    City of Tempe (2021). City of Tempe 2021 Community Survey Data [Dataset]. https://data.tempe.gov/datasets/tempegov::city-of-tempe-2021-community-survey-data
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    Dataset updated
    Nov 2, 2021
    Dataset authored and provided by
    City of Tempe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tempe
    Description

    ABOUT THE COMMUNITY SURVEY DATASETFinal Reports for ETC Institute conducted annual community attitude surveys for the City of Tempe. These survey reports help determine priorities for the community as part of the City's on-going strategic planning process. In many of the survey questions, survey respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (while some questions follow another scale). The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This data is the weighted data provided by the ETC Institute, which is used in the final published PDF report. PERFORMANCE MEASURESData collected in these surveys applies directly to a number of performance measures for the City of Tempe including the following (as of 2021): 1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Victim Not Reporting Crime to Police1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Quality Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community Survey Additional InformationSource: Community Attitude SurveyContact (author): Wydale HolmesContact E-Mail (author): wydale_holmes@tempe.govContact (maintainer): Wydale HolmesContact E-Mail (maintainer): wydale_holmes@tempe.govData Source Type: Excel tablePreparation Method: Data received from vendorPublish Frequency: AnnualPublish Method: Manual

  15. f

    FreeAndReducedLunch Fall207 ByMISenateDist 20181105

    • data.ferndalemi.gov
    • detroitdata.org
    • +6more
    Updated Nov 6, 2018
    + more versions
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    Data Driven Detroit (2018). FreeAndReducedLunch Fall207 ByMISenateDist 20181105 [Dataset]. https://data.ferndalemi.gov/datasets/D3::freeandreducedlunch-fall207-bymisenatedist-20181105
    Explore at:
    Dataset updated
    Nov 6, 2018
    Dataset authored and provided by
    Data Driven Detroit
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset contains Free and Reduced Lunch information, by Michigan Senate districts, for the state of Michigan in Fall 2017. Free and Reduced Lunch data was provided by Center for Educational Performance and Information via MI School Data.Click here for metadata (descriptions of the fields).

  16. t

    Hometown for All

    • data.tempe.gov
    • data-academy.tempe.gov
    • +5more
    Updated Aug 3, 2022
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    City of Tempe (2022). Hometown for All [Dataset]. https://data.tempe.gov/content/tempegov::hometown-for-all
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    Dataset updated
    Aug 3, 2022
    Dataset authored and provided by
    City of Tempe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Hometown for All is the city’s innovative affordable housing initiative approved by the Tempe City Council in January 2021. The initiative accelerates the growth of affordable and workforce housing by creating a sustainable funding source. Site is Google Translate enabled. DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this page, please visit https://tempegov.hub.arcgis.com:/overview/edit.

  17. t

    Poverty - ACS 2018-2022 - Tempe Tracts

    • data.tempe.gov
    • performance.tempe.gov
    • +9more
    Updated Jan 12, 2024
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    City of Tempe (2024). Poverty - ACS 2018-2022 - Tempe Tracts [Dataset]. https://data.tempe.gov/datasets/tempegov::poverty-acs-2018-2022-tempe-tracts
    Explore at:
    Dataset updated
    Jan 12, 2024
    Dataset authored and provided by
    City of Tempe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer shows poverty status by age group. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percentage of the population whose income falls below the Federal poverty line. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B17020 (Not all lines of these ACS tables are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov

  18. c

    Soils Farmland Classification

    • geodata.ct.gov
    • data.ct.gov
    • +5more
    Updated Nov 15, 2023
    + more versions
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    Department of Energy & Environmental Protection (2023). Soils Farmland Classification [Dataset]. https://geodata.ct.gov/datasets/CTDEEP::soils-farmland-classification
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    Area covered
    Description

    Farmland classification identifies map units as prime farmland, farmland of statewide importance, farmland of local importance, or unique farmland. It identifies the location and extent of the soils that are best suited to food, feed, fiber, forage, and oilseed crops. NRCS policy and procedures on prime and unique farmlands are published in the "Federal Register," Vol. 43, No. 21, January 31, 1978.This data set is a digital soil survey and generally is the mostdetailed level of soil geographic data developed by the NationalCooperative Soil Survey. The information was prepared by digitizingmaps, by compiling information onto a planimetric correct baseand digitizing, or by revising digitized maps using remotelysensed and other information.This data set consists of georeferenced digital map data andcomputerized attribute data. The map data are in a soil survey areaextent format and include a detailed, field verified inventoryof soils and miscellaneous areas that normally occur in a repeatablepattern on the landscape and that can be cartographically shown atthe scale mapped. The soil map units are linked to attributes in theNational Soil Information System relational database, which givesthe proportionate extent of the component soils and their properties.

  19. G

    Data from: Western USA Assessment of High Value Materials in Geothermal...

    • gdr.openei.org
    • data.openei.org
    • +3more
    Updated Oct 31, 2018
    + more versions
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    Stuart Simmons; Philip Verplanck; Karen Kelley; Stuart Simmons; Philip Verplanck; Karen Kelley (2018). Western USA Assessment of High Value Materials in Geothermal Fluids and Produced Fluids [Dataset]. http://doi.org/10.15121/1501930
    Explore at:
    Dataset updated
    Oct 31, 2018
    Dataset provided by
    Energy and Geoscience Institute at the University of Utah
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    Geothermal Data Repository
    Authors
    Stuart Simmons; Philip Verplanck; Karen Kelley; Stuart Simmons; Philip Verplanck; Karen Kelley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This submission includes the following: - Field Characteristics: Describes the geological and production field characteristics of sampling sites - Geochemistry of Produced Fluids Idaho-Nevada-New Mexico-Oregon-Utah: Summarizes the all the analytical results for aqueous samples collected from geothermal production wells, hydrocarbon production wells, and hot springs. - Geochemistry of Reservoir Rocks & Calcite Scales Nevada-Utah: Analytical results of trace element analyses of reservoir drill cuttings from Beowawe, Dixie Valley, Roosevelt Hot Springs, Uinta Basin, and Paradox Basin (Aneth field); also includes analyses of Dixie Valley calcite scales and rocks in the Sevier Thermal Belt, Utah. - Lithology and mineralogy of drill cuttings from Beowawe, Dixie Valley and Roosevelt Hot Springs: Lithological and mineralogical characterization of drill cuttings from Beowawe, Dixie Valley and Roosevelt Hot Springs - Geological Settings of Critical Element Mineral Deposits: Brief summary and references regarding the geological settings of critical element mineral deposits

  20. G

    Hydroshear Simulation Lab Test 2, Additional Data Sheets

    • gdr.openei.org
    • data.openei.org
    • +3more
    website
    Updated Aug 1, 2014
    + more versions
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    Steve Bauer; Steve Bauer (2014). Hydroshear Simulation Lab Test 2, Additional Data Sheets [Dataset]. http://doi.org/10.15121/1149455
    Explore at:
    websiteAvailable download formats
    Dataset updated
    Aug 1, 2014
    Dataset provided by
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    Sandia National Laboratories
    Geothermal Data Repository
    Authors
    Steve Bauer; Steve Bauer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This file contains additional data for this test (hydroshear test 3.2). In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. The max temperature in this this system development test is 95C. More test details can be found on the spreadsheets.

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Nex AGI (2025). html-eval [Dataset]. https://huggingface.co/datasets/nex-agi/html-eval

html-eval

nex-agi/html-eval

Explore at:
Dataset updated
Nov 19, 2025
Dataset authored and provided by
Nex AGI
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

HTML Generation Evaluation

  Overview

To evaluate our model's HTML generation performance, we have constructed a comprehensive evaluation dataset covering diverse web development scenarios. This dataset includes:

Web Development: Landing pages, e-commerce sites, responsive layouts, and financial dashboards 3D Scene Design: WebGL scenes, Three.js applications, and interactive 3D models Game Design: Browser-based games, interactive gameplay, and physics-based games Physics… See the full description on the dataset page: https://huggingface.co/datasets/nex-agi/html-eval.

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