cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yx9mp6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Asparagopsis taxiformis (Delile) Trevis."
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286697-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csk3aw
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum aemulans Bitter & Wittm."
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002215-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swvw5e
title: Occurrence Download

description: A dataset containing 1648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Syzygium cumini (L.) Skeels"
 ]
}

 The dataset includes 1648 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051132-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8safj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.325 53.225,5.375 53.225,5.375 53.275,5.325 53.275,5.325 53.225))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306032-200613084148143/datasets/export for details.
DOI: 10.15468/dl.vcbgeo
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calycolpus legrandii Mattos"
 ]
}

 The dataset includes 213 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002215-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruha5n
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Formicivora littoralis Gonzaga & Pacheco, 1990"
 ]
}

 The dataset includes 210 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060427-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdyjpc
title: Occurrence Download

description: A dataset containing 832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is Non-vertebrate Paleontology, Jackson School Museum of Earth History, University of Texas at Austin",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 832 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013692-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvczxp
title: Occurrence Download

description: A dataset containing 2030998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((138.0999 -35.78991, 139.2323 -35.75858, 139.1635 -34.30258, 138.0495 -34.33345, 138.0999 -35.78991))"
 ]
}

 The dataset includes 2030998 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298181-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0uxmts
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporrectodea trapezoides (Dugés, 1828)"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002216-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpiinm
title: Occurrence Download

description: A dataset containing 9334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spizaetus tyrannus (Wied-Neuwied, 1820)"
 ]
}

 The dataset includes 9334 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007454-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfa2g9
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron facetum Balf.fil. & Kingdon-Ward"
 ]
}

 The dataset includes 188 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091300-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvkd22
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beckmannia syzigachne (Steud.) Fernald",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 615 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091301-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6v3yw
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchosia longipetiolata Hosseus"
 ]
}

 The dataset includes 12 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091302-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6xup5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mentha aquatica L.",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091304-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99aq77
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhabdophyllum rigidum (De Wild.) Farron"
 ]
}

 The dataset includes 75 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091305-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stmgfn
title: Occurrence Download

description: A dataset containing 74967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrus communis L."
 ]
}

 The dataset includes 74967 records from 1015 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091253-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37phpf
title: Occurrence Download

description: A dataset containing 1868398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Europe)",
 "TaxonKey is Numenius arquata (Linnaeus, 1758)",
 "Year 1000-2024"
 ]
}

 The dataset includes 1868398 records from 1144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091269-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htavdn
title: Occurrence Download

description: A dataset containing 49703 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microdesmidae"
 ]
}

 The dataset includes 49703 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045811-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqejv3
title: Occurrence Download

description: A dataset containing 21229984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 21229984 records from 2206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0436572-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3257760
title: Eigen scores for human genome assembly GRCh38 Part 3 (Chr3 - Chr5)

description: Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.
DOI: 10.5281/zenodo.3257759
title: Eigen scores for human genome assembly GRCh38 Part 3 (Chr3 - Chr5)

description: Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.
DOI: 10.5281/zenodo.3724973
title: Eigen scores for human genome assembly GRCh38 Part 3 (Chr3 - Chr5)

description: Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.
DOI: 10.5281/zenodo.3258321
title: Eigen scores for human genome assembly GRCh38 Part 4 (Chr1 - Chr2)

description: Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.
DOI: 10.5281/zenodo.3258322
title: Eigen scores for human genome assembly GRCh38 Part 4 (Chr1 - Chr2)

description: Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.
DOI: 10.5281/zenodo.3724701
title: Eigen scores for human genome assembly GRCh38 Part 4 (Chr1 - Chr2)

description: Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.
DOI: 10.6084/m9.figshare.22790021
title: DMS-VIVA2023 - Comparative-Instruments-Teamwork.xlsx

description: Supplementary Material
DOI: 10.6084/m9.figshare.22790021.v1
title: DMS-VIVA2023 - Comparative-Instruments-Teamwork.xlsx

description: Supplementary Material
DOI: 10.5281/zenodo.7695019
title: Datasets supporting the publication: Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador

description: ################################## <strong>Datasets supporting the publication:</strong> <em>Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador.</em> International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2023.2205983 C. Scott Watson<sup>a</sup>*, John R. Elliott<sup>a</sup>, Marco Córdova<sup>b</sup>, Jonathan Menoscal<sup>b</sup>, Santiago Bonilla-Bedoya<sup>c</sup> <em><sup>a</sup>COMET, School of Earth and Environment, University of Leeds, LS2 9JT, UK</em> <em><sup>b</sup>Facultad Latinoamericana de Ciencias Sociales, FLACSO, Quito, Ecuador</em> <em><sup>c</sup>Research Center for the Territory and Sustainable Habitat, Universidad Tecnológica Indoamérica,Machala y Sabanilla, 170301, Quito, Ecuador</em> <strong>-Please refer to the publication for details on the production of each dataset.<br> -Please cite the publication and this dataset repository when using the data.</strong> ################################## <strong>Data:</strong> <strong>File</strong> <strong>Description</strong> J1_mosaic_max.tif Mosaicked Jilin-1 multi-spectral night-time image of Quito, Ecuador. Acquisition: 8th July 2021 at ~10:30 UTC (05:30 local time) corine_landcover_S2_20210705T153621_20210705T154215_T17MQV.tif Land cover classification applied to a Sentinel-2 image (5th July 2021) corine_landcover_symbology_qgis.txt Land cover classification symbology for QGIS light_type_classification.tif Light type classification: class 1 = LED, class 10 = HPS. classified_light_locations.shp Classified light source (point) locations
DOI: 10.5281/zenodo.7695018
title: Datasets supporting the publication: Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador

description: ################################## <strong>Datasets supporting the publication:</strong> <em>Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador.</em> International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2023.2205983 C. Scott Watson<sup>a</sup>*, John R. Elliott<sup>a</sup>, Marco Córdova<sup>b</sup>, Jonathan Menoscal<sup>b</sup>, Santiago Bonilla-Bedoya<sup>c</sup> <em><sup>a</sup>COMET, School of Earth and Environment, University of Leeds, LS2 9JT, UK</em> <em><sup>b</sup>Facultad Latinoamericana de Ciencias Sociales, FLACSO, Quito, Ecuador</em> <em><sup>c</sup>Research Center for the Territory and Sustainable Habitat, Universidad Tecnológica Indoamérica,Machala y Sabanilla, 170301, Quito, Ecuador</em> <strong>-Please refer to the publication for details on the production of each dataset.<br> -Please cite the publication and this dataset repository when using the data.</strong> ################################## <strong>Data:</strong> <strong>File</strong> <strong>Description</strong> J1_mosaic_max.tif Mosaicked Jilin-1 multi-spectral night-time image of Quito, Ecuador. Acquisition: 8th July 2021 at ~10:30 UTC (05:30 local time) corine_landcover_S2_20210705T153621_20210705T154215_T17MQV.tif Land cover classification applied to a Sentinel-2 image (5th July 2021) corine_landcover_symbology_qgis.txt Land cover classification symbology for QGIS light_type_classification.tif Light type classification: class 1 = LED, class 10 = HPS. classified_light_locations.shp Classified light source (point) locations
DOI: 10.5281/zenodo.7903144
title: Benchmarking data for studying order-related performance effects

description: This dataset includes over 2.2M performance measurements collected on the CloudLab testbed. Performance tests from CPU and memory benchmarks were run in fixed and random orders allowing comprehensive comparisons. The analysis and the outcomes are summarized in the paper "Avoiding the Ordering Trap in Systems Performance Measurement", which will become available online in the near future and will be presented at USENIX ATC'23. -------------- Contributors: Dmitry Duplyakin (University of Utah) Nikhil Ramesh (University of Utah) Carina Imburgia (University of Washington) Hamza Fathallah Al Sheikh (University of Utah) Semil Jain (University of Utah) Prikshit Tekta (University of Utah) Aleksander Maricq (University of Utah) Gary Wong (University of Utah) Robert Ricci (University of Utah)
DOI: 10.5281/zenodo.7903143
title: Benchmarking data for studying order-related performance effects

description: This dataset includes over 2.2M performance measurements collected on the CloudLab testbed. Performance tests from CPU and memory benchmarks were run in fixed and random orders allowing comprehensive comparisons. The analysis and the outcomes are summarized in the paper "Avoiding the Ordering Trap in Systems Performance Measurement", which will become available online in the near future and will be presented at USENIX ATC'23. -------------- Contributors: Dmitry Duplyakin (University of Utah) Nikhil Ramesh (University of Utah) Carina Imburgia (University of Washington) Hamza Fathallah Al Sheikh (University of Utah) Semil Jain (University of Utah) Prikshit Tekta (University of Utah) Aleksander Maricq (University of Utah) Gary Wong (University of Utah) Robert Ricci (University of Utah)
DOI: 10.34740/kaggle/dsv/5646348
title: first_20_million_primes
DOI: 10.5281/zenodo.7901831
title: Artifacts for paper titled "CAT-LM: Training Language Models on Aligned Code And Tests"

description: Includes the model weights for CAT-LM, code and datasets for training and evaluating CAT-LM, results of additional experiments and comparison with TeCo and CodeGen.
DOI: 10.6084/m9.figshare.22695658.v1
title: Washington kelp forest subtidal temperature data

description: This dataset includes environmental temperature data from kelp forest sites in the Salish Sea of Washington State, USA. There are 8 different sites, from South Puget Sound (Squaxin Island, Tacoma Narrows) to Central Puget Sound (Vashon Island, Lincoln Park, Edmonds) and North Puget Sound / the San Juan Islands (Turn Rock, Gordon Island, Cherry Point). Subtidal temperature and pressure sensors (HOBO Onset Water Level Logger, U20L-02) were installed near the seafloor at each site via SCUBA between -3 to -5 m depth relative to mean lower low water (MLLW). Sensors were swapped every 3-5 months for 1 year.
DOI: 10.34740/kaggle/dsv/5547457
title: FII_DII_cash_trading_activity_10years_nse
DOI: 10.5519/qd.dmvpegyl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/5547472
title: FnO_participants_wise_oi_10years_nse
DOI: 10.5519/qd.qwujgluc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7802576
title: Wrangell Arc, Alaska (U.S.A.) clast geochemical data - Table S1

description: Supplemental bulk rock major-trace element geochemical data, 40Ar/39Ar ages, and sample locations for modern river clasts (from Wrangell Arc, Alaska, USA).
DOI: 10.5281/zenodo.7802577
title: Wrangell Arc, Alaska (U.S.A.) clast geochemical data - Table S1

description: Supplemental bulk rock major-trace element geochemical data, 40Ar/39Ar ages, and sample locations for modern river clasts (from Wrangell Arc, Alaska, USA).
DOI: 10.5281/zenodo.7916454
title: Wrangell Arc, Alaska (U.S.A.) clast geochemical data - Table S1

description: Supplemental bulk rock major-trace element geochemical data, 40Ar/39Ar ages, and sample locations for modern river clasts (from Wrangell Arc, Alaska, USA).
DOI: 10.25380/iastate.19719305
title: Global 1 km resolution daily near-surface air temperature for 2007

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2007 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: All 2007 files updated 5/9/23