cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/mn03fd
title: UNI-CEN Standardized Census Data Table - Census Metropolitan Area (CMA) - 2021 - Long Format (DTA) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.5683/sp3/od44ed
title: UNI-CEN Standardized Census Data Table - Province/Territory (PR) - 2021 - Wide Format (CSV) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.5683/sp3/ukhp6r
title: UNI-CEN Standardized Census Data Table - Province/Territory (PR) - 2021 - Wide Format (DBF) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.5683/sp3/zw63rz
title: UNI-CEN Standardized Census Data Table - Province/Territory (PR) - 2021 - Long Format (DTA) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.5683/sp3/bxdlpj
title: Regina Ultimate Monthly Dashboard August 2022

description: Data from the Regina station for August 2022. Contains hourly measurements for O3, NO, NO2, NOX, SO2, H2S, CS, FPM, Wind speed, Wind direction, Temperature, BP, RH, and Rain.
DOI: 10.5683/sp3/mn6nai
title: Regina Ultimate Monthly Dashboard September 2022

description: Data from the Regina station for September 2022. Contains hourly measurements for O3, NO, NO2, NOX, SO2, H2S, CS, FPM, Wind speed, Wind direction, Temperature, BP, RH, and Rain.
DOI: 10.15468/dl.3u76es
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Makaira mazara (Jordan & Snyder, 1901)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001501-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/1qymnb
title: UNI-CEN Standardized Census Data Table - Census Subdivision (CSD) - 2021 - Wide Format (CSV) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.5683/sp3/o5grzx
title: UNI-CEN Standardized Census Data Table - Census Subdivision (CSD) - 2021 - Wide Format (DBF) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.5683/sp3/uwkmu2
title: UNI-CEN Standardized Census Data Table - Census Subdivision (CSD) - 2021 - Long Format (DTA) (Version 2023-03)

description: UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
description: Standardized Census Data Table
DOI: 10.15468/dl.9298xs
title: Occurrence Download

description: A dataset containing 1999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "TaxonKey is Apodidae"
 ]
}

 The dataset includes 1999 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001502-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14048506
title: Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective

description: This is a dataset for the "Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective." paper submitted to EASE2025.
DOI: 10.5281/zenodo.14048507
title: Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective

description: This is a dataset for the "Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective." paper submitted to MSR2025.
DOI: 10.5281/zenodo.14752038
title: Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective

description: This is a dataset for the "Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective." paper submitted to EASE2025.
DOI: 10.15468/dl.fe8ps8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Makaira nigricans Lacepède, 1802",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001504-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uupjy
title: Occurrence Download

description: A dataset containing 30996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Djibouti",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30996 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001503-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/yhrnr3
title: :unav

description: :unav
DOI: 10.15468/dl.xnsgge
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "TaxonKey is Dendrobaena alpina (Rosa, 1884)"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001506-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/53j8mi
title: Ontario corn grain prices, 2022 [Canada]

description: This data set contains Ontario corn grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates. This dataset includes data from January 1 to December 31, 2022.
description: Ontario Corn, Soybean, Wheat, Feed Grain Prices
DOI: 10.5683/sp3/sbxl2m
title: Ontario soybean grain prices, 2022 [Canada]

description: This data set contains Ontario soybean grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates. This dataset includes data from January 1 to December 31, 2022.
description: Ontario Corn, Soybean, Wheat, Feed Grain Prices
DOI: 10.5683/sp3/xrjmw6
title: Ontario wheat grain prices, 2022 [Canada]

description: This data set contains Ontario wheat grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates. This dataset includes data from January 1 to December 31, 2022.
description: Ontario Corn, Soybean, Wheat, Feed Grain Prices
DOI: 10.5683/sp3/xoyu3h
title: Ontario feed grain prices, 2022 [Canada]

description: This data set contains Ontario feed grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates. This dataset includes data from January 1 to December 31, 2022.
description: Ontario Corn, Soybean, Wheat, Feed Grain Prices
DOI: 10.15468/dl.wx6wfe
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fringillidae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to August",
 "Country is United States of America",
 "StateProvince is New York"
 ]
}

 The dataset includes 462 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001508-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.378226
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrapturus mazara Jordan & Snyder, 1901",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001507-250127130748423/datasets/export for details.
DOI: 10.15468/dl.ekkjaw
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudopleuronectes schrenki (Schmidt, 1904)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001509-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpsumd
title: Occurrence Download

description: A dataset containing 572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fringillidae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to August",
 "Country is United States of America",
 "StateProvince is New York"
 ]
}

 The dataset includes 572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001510-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68vn8u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limanda schrenki Schmidt, 1904",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001511-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7gzc2
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fringillidae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 1950",
 "Month is greater than or equal to April",
 "Month is less than or equal to August",
 "Country is United States of America",
 "StateProvince is New York"
 ]
}

 The dataset includes 708 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001512-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prkvkb
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argis lar (Owen, 1839)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 425 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001513-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10599364
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.j8y7xv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crangon lar Owen, 1839",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001515-250127130748423/datasets/export for details.
DOI: 10.15468/dl.xr2gs2
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagocephalus gloveri Abe & Tabeta, 1983",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 68 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001516-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/r5kb-7h31
title: Data for paper Structure and Dynamics of the Young Massive Star Cluster Westerlund 1
DOI: 10.6084/m9.figshare.28284377.v3
title: Data files: Reference genome of European whitefish (<i>Coregonus lavaretus L.</i>) from Finland

description: <b>Datafile 2: Summary of the European whitefish assemblies.</b> The main assembly includes both PacBio and OmniC sequence data, while the alternative assembly was based on PacBio sequence data only. The main assembly is publicly available at the ENA under the accession PRJEB69218. The alternative assembly is available upon request from Antti Kause.<b>Datafile 3: </b><b>Smudgeplot of European whitefish</b>. The k-mer based smudgeplot analysis was performed using PacBio Hi-Fi reads to assess the heterozygosity and ploidy of the European whitefish genome. The analysis indicated that 37% of the genome is fully diverged diploid, indicated by the “AB” pattern, while in the remaining regions the diploid resolution is not completed as indicated by “AABB” pattern, which signifies that these regions have two distinct alleles. Conversely, 63% of the genome is tetraploid, as evidenced by “AABB” pattern, where “A” and “B” represent different alleles, suggesting that the diploid resolution in these regions is not complete. In the smudgeplot, the x-axis represents the coverage ratio, while the y-axis indicates the total coverage.
DOI: 10.15468/dl.rsr3sw
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes schlegelii Hilgendorf, 1880",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 392 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001517-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.