cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18780360
title: Cars.com Vehicle Listings Dataset

description: Daily sample of Cars.com vehicle listings with make, model, trim, mileage, body style, drivetrain, and dealer location across new and used inventory.

Full Dataset

This is a sample of the Cars.com Vehicle Listings Dataset published by 
Rebrowser. 
The full dataset is updated daily.

Browse, filter, and export the complete dataset at 
https://rebrowser.net/products/datasets/carscom.

Entities in this dataset



Car Listings — Sample of Cars.com vehicle listings with year, make, model, trim, mileage, body style, drivetrain, fuel type, and dealer location.


Links



Full Cars.com Vehicle Listings Dataset dataset on Rebrowser

All Rebrowser datasets

Free datasets for academic research

Pricing & plans

Contact us


Last updated: 2026-02-26 · 30,000 rows in this sample
description: Published by Rebrowser (https://rebrowser.net). This is a free sample — the full dataset is available at https://rebrowser.net/products/datasets/carscom. Free for research and non-commercial use with attribution. For commercial use, see https://rebrowser.net/pricing.
DOI: 10.15468/dl.h3n9ca
title: Occurrence Download

description: A dataset containing 10618654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PER",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Insecta, Plantae)"
 ]
}

 The dataset includes 10618654 records from 1078 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002439-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zsyf6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Juncaginaceae"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002480-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18780371
title: Copart Salvage Vehicle Auction Dataset

description: Salvage vehicle auction listings with damage assessments, condition grades, title status, and yard locations from Copart's nationwide network.

Full Dataset

This is a sample of the Copart Salvage Vehicle Auction Dataset published by 
Rebrowser. 
The full dataset is updated daily.

Browse, filter, and export the complete dataset at 
https://rebrowser.net/products/datasets/copart.

Entities in this dataset



Auction Listings — Daily sample of Copart salvage auction lots with damage types, condition codes, title status, mileage, repair costs, and yard locations across the US.


Links



Full Copart Salvage Vehicle Auction Dataset dataset on Rebrowser

All Rebrowser datasets

Free datasets for academic research

Pricing & plans

Contact us


Last updated: 2026-02-26 · 30,000 rows in this sample
description: Published by Rebrowser (https://rebrowser.net). This is a free sample — the full dataset is available at https://rebrowser.net/products/datasets/copart. Free for research and non-commercial use with attribution. For commercial use, see https://rebrowser.net/pricing.
DOI: 10.15468/dl.qwa9bp
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Acanthurus blochii"
 ]
}

 The dataset includes 407 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002481-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvp98x
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus laevis"
 ]
}

 The dataset includes 462 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002479-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxa9db
title: Occurrence Download

description: A dataset containing 18620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Hypericum tetrapterum",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 18620 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002482-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31343533
title: <b>Complete genome sequence and characterization of a Goose Astrovirus Genotype 2 from goslings associated with severe gout in China</b>

description: The figshare file contains:1. All protein blot experimental data in the manuscript<br><br>2. Raw data for all genetic testing in the manuscript<br><br>3.Editable Source Files
DOI: 10.6084/m9.figshare.31343533.v1
title: <b>Complete genome sequence and characterization of a Goose Astrovirus Genotype 2 from goslings associated with severe gout in China</b>

description: The figshare file contains:1. All protein blot experimental data in the manuscript<br><br>2. Raw data for all genetic testing in the manuscript<br><br>3.Editable Source Files
DOI: 10.15468/dl.bxsn4u
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Potamogetonaceae"
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002483-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x6bqh
title: Occurrence Download

description: A dataset containing 168805 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forest monitoring data of 45 plots over the Japanese archipelago during the period of 1980-2021"
 ]
}

 The dataset includes 168805 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002473-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xads5e
title: Occurrence Download

description: A dataset containing 396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Saurida elongata"
 ]
}

 The dataset includes 396 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002484-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18780374
title: iHeart Radio Stations & Airplay Dataset

description: Thousands of US and Mexico radio station profiles with audience metrics, streaming URLs, and real-time airplay tracking.

Full Dataset

This is a sample of the iHeart Radio Stations & Airplay Dataset published by 
Rebrowser. 
The full dataset is updated daily.

Browse, filter, and export the complete dataset at 
https://rebrowser.net/products/datasets/iheart.

Entities in this dataset



Radio Stations — iHeart radio stations with call letters, frequencies, formats, market data, audience metrics, and streaming endpoints.

Station Plays — Real-time track play log for iHeart stations — every song played with artist, title, timestamp, and station.


Links



Full iHeart Radio Stations & Airplay Dataset dataset on Rebrowser

All Rebrowser datasets

Free datasets for academic research

Pricing & plans

Contact us


Last updated: 2026-02-26 · 603,668 rows in this sample
description: Published by Rebrowser (https://rebrowser.net). This is a free sample — the full dataset is available at https://rebrowser.net/products/datasets/iheart. Free for research and non-commercial use with attribution. For commercial use, see https://rebrowser.net/pricing.
DOI: 10.6084/m9.figshare.31418381
title: <b>Maintaining Sufficient Interactions for Accountable AI: An Executable Transparency Audit Framework in Recommender Systems</b>

description: AI-driven recommender systems have deeply integrated into digital life. However, their "black box" nature and associated societal risks profound transparency issues. Existing transparency solutions often fail to engage multi stakeholders due to the dynamic, non-deterministic characteristics of AI models. To address this challenge, we reconceptualizes transparency not as static information disclosure, but as a dynamic interactional process within a socio-technical network through introducing the Actor Network Theory. Grounded in this theoretical lens, we propose an executable transparency audit framework. By employing Natural Language Processing techniques, we systematically analyze regulatory texts and expert interviews, thereby constructing a transparency assessment checklist. Applying this framework, we conduct an empirical validation on Chinese social media platforms. The results reveal the pervasive phenomenon of "paper compliance", a strategy where platforms adhere to regulative mandates through formalized compliance while neglecting the intrinsic intent. Further analysis delineates two distinct patterns of this symbolic compliance: "formal regulation-oriented" and "selectively interactive-oriented". In-depth experiment identifies insufficient interaction among platforms, users, and regulators as the root cause underpinning the lack of substantive transparency. This study enhances the concept of transparency from an interaction based perspective and developing an operational transparency audit framework. Moreover, the paper uncovers the manifestations and formation mechanisms of "paper compliance", offering a critical foundation for optimizing regulatory policies and incentivizing substantive governance.
DOI: 10.6084/m9.figshare.31418381.v1
title: <b>Maintaining Sufficient Interactions for Accountable AI: An Executable Transparency Audit Framework in Recommender Systems</b>

description: AI-driven recommender systems have deeply integrated into digital life. However, their "black box" nature and associated societal risks profound transparency issues. Existing transparency solutions often fail to engage multi stakeholders due to the dynamic, non-deterministic characteristics of AI models. To address this challenge, we reconceptualizes transparency not as static information disclosure, but as a dynamic interactional process within a socio-technical network through introducing the Actor Network Theory. Grounded in this theoretical lens, we propose an executable transparency audit framework. By employing Natural Language Processing techniques, we systematically analyze regulatory texts and expert interviews, thereby constructing a transparency assessment checklist. Applying this framework, we conduct an empirical validation on Chinese social media platforms. The results reveal the pervasive phenomenon of "paper compliance", a strategy where platforms adhere to regulative mandates through formalized compliance while neglecting the intrinsic intent. Further analysis delineates two distinct patterns of this symbolic compliance: "formal regulation-oriented" and "selectively interactive-oriented". In-depth experiment identifies insufficient interaction among platforms, users, and regulators as the root cause underpinning the lack of substantive transparency. This study enhances the concept of transparency from an interaction based perspective and developing an operational transparency audit framework. Moreover, the paper uncovers the manifestations and formation mechanisms of "paper compliance", offering a critical foundation for optimizing regulatory policies and incentivizing substantive governance.
DOI: 10.15468/dl.4gfu25
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Moolgarda buchanani"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002486-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18757754
title: Chinese Traditional Hui-style Architecture: Characteristics and Cultural Patterns of Spatial Creation Based on Research Data
DOI: 10.5281/zenodo.18780383
title: SiriusXM Channels & Airplay Dataset

description: Satellite radio channel lineup with genres, categories, channel numbers across platforms, and real-time play-by-play track history across SiriusXM music channels.

Full Dataset

This is a sample of the SiriusXM Channels & Airplay Dataset published by 
Rebrowser. 
The full dataset is updated daily.

Browse, filter, and export the complete dataset at 
https://rebrowser.net/products/datasets/siriusxm.

Entities in this dataset



Radio Channels — SiriusXM satellite radio channels with names, channel numbers, categories, genres, descriptions, branding colors, and content flags.

Channel Plays — Real-time track play log for SiriusXM channels — every song played with artist, title, album, duration, and precise timestamp.


Links



Full SiriusXM Channels & Airplay Dataset dataset on Rebrowser

All Rebrowser datasets

Free datasets for academic research

Pricing & plans

Contact us


Last updated: 2026-02-26 · 600,792 rows in this sample
description: Published by Rebrowser (https://rebrowser.net). This is a free sample — the full dataset is available at https://rebrowser.net/products/datasets/siriusxm. Free for research and non-commercial use with attribution. For commercial use, see https://rebrowser.net/pricing.
DOI: 10.5281/zenodo.18273120
title: Non-stationary multivariate bias-corrected CMIP6 climate projections of daily precipitation and temperature over India [Part4: Minimum Temperature Data]

description: We employed R2D2, a multivariate bias-correction technique, to develop a dependence-preserved daily bias-corrected dataset of precipitation (P) and temperature (mean, maximum, and minimum) at 0.25° spatial resolution over India. The dataset spans the historical period (1951–2014) and future projections (2015–2100) under four Shared Socioeconomic Pathway (SSP) scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5, using outputs from 13 CMIP6 Global Climate Models (GCMs).

The India Meteorological Department (IMD) gridded dataset at 0.25° resolution for precipitation and temperature (mean, maximum, and minimum) was used as the reference observational dataset for implementing the multivariate bias correction.

The bias-corrected dataset was rigorously evaluated against observations using multivariate statistical metrics that capture dependence structures, including Pearson correlation, Kendall’s tau, the Clausius–Clapeyron (CC) relationship, and the representation of compound dry and hot extreme events involving precipitation and temperature (Tmax, Tmin, and Tmean). These evaluations ensure the reliability and quality of the bias-corrected dataset.

The dataset has broad applicability for climate impact and future projection studies, particularly for research focused on precipitation–temperature dependence, compound extreme events, hydrological modelling, and drought assessment.

The complete dataset is divided into four parts, with each part containing the bias-corrected data for an individual variable. Part-4 includes the bias-corrected minimum temperature dataset, provided in NetCDF (.nc) format. This part consists of five compressed files to reduce storage requirements: one historical dataset (Pr_historical.zip) and four future scenario datasets (Pr_SSP126.zip, Pr_SSP245.zip, Pr_SSP370.zip, and Pr_SSP585.zip).

Each compressed file contains the bias-corrected NetCDF datasets from 13 CMIP6 GCMs, namely ACCESS-CM2, ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, EC-Earth3, EC-Earth3-Veg, INM-CM4-8, INM-CM5-0, MPI-ESM1-2-HR, MPI-ESM1-2-LR, MRI-ESM2-0, NorESM2-LM, and NorESM2-MM.
DOI: 10.5281/zenodo.18273121
title: Non-stationary multivariate bias-corrected CMIP6 climate projections of daily precipitation and temperature over India [Part4: Minimum Temperature Data]

description: We employed R2D2, a multivariate bias-correction technique, to develop a dependence-preserved daily bias-corrected dataset of precipitation (P) and temperature (mean, maximum, and minimum) at 0.25° spatial resolution over India. The dataset spans the historical period (1951–2014) and future projections (2015–2100) under four Shared Socioeconomic Pathway (SSP) scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5, using outputs from 13 CMIP6 Global Climate Models (GCMs).

The India Meteorological Department (IMD) gridded dataset at 0.25° resolution for precipitation and temperature (mean, maximum, and minimum) was used as the reference observational dataset for implementing the multivariate bias correction.

The bias-corrected dataset was rigorously evaluated against observations using multivariate statistical metrics that capture dependence structures, including Pearson correlation, Kendall’s tau, the Clausius–Clapeyron (CC) relationship, and the representation of compound dry and hot extreme events involving precipitation and temperature (Tmax, Tmin, and Tmean). These evaluations ensure the reliability and quality of the bias-corrected dataset.

The dataset has broad applicability for climate impact and future projection studies, particularly for research focused on precipitation–temperature dependence, compound extreme events, hydrological modelling, and drought assessment.

The complete dataset is divided into four parts, with each part containing the bias-corrected data for an individual variable. Part-4 includes the bias-corrected minimum temperature dataset, provided in NetCDF (.nc) format. This part consists of five compressed files to reduce storage requirements: one historical dataset (Pr_historical.zip) and four future scenario datasets (Pr_SSP126.zip, Pr_SSP245.zip, Pr_SSP370.zip, and Pr_SSP585.zip).

Each compressed file contains the bias-corrected NetCDF datasets from 13 CMIP6 GCMs, namely ACCESS-CM2, ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, EC-Earth3, EC-Earth3-Veg, INM-CM4-8, INM-CM5-0, MPI-ESM1-2-HR, MPI-ESM1-2-LR, MRI-ESM2-0, NorESM2-LM, and NorESM2-MM.
DOI: 10.15468/dl.24t869
title: Occurrence Download

description: A dataset containing 1642003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1642003 records from 2296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002427-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41204.1
title: StrainInfo SI-ID 41204.1

description: StrainInfo dataset 41204 about a strain of Salmonella enterica subsp. enterica. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.6084/m9.figshare.25943431.v1
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: Interactive File 5 _ P6 He 3Dscatter.html
DOI: 10.6084/m9.figshare.25943434.v1
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: Interactive File 1 _ P3 Wt 3Dscatter.html
DOI: 10.6084/m9.figshare.25943437
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: IF10_P12 Wt 3Dscatter.html
DOI: 10.6084/m9.figshare.25943437.v2
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: IF10_P12 Wt 3Dscatter.html
DOI: 10.6084/m9.figshare.25943440
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: IF7_P9 Wt 3Dscatter.html
DOI: 10.6084/m9.figshare.25943440.v2
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: IF7_P9 Wt 3Dscatter.html
DOI: 10.6084/m9.figshare.25943443
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: IF3_P3 Ho 3Dscatter.html
DOI: 10.6084/m9.figshare.25943443.v2
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: IF3_P3 Ho 3Dscatter.html
DOI: 10.60712/si-id41262.1
title: StrainInfo SI-ID 41262.1

description: StrainInfo dataset 41262 about a strain of Mycobacterium tuberculosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id41263.1
title: StrainInfo SI-ID 41263.1

description: StrainInfo dataset 41263 about a strain of Mycobacterium tuberculosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.6084/m9.figshare.25943437.v1
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: Interactive File 10 _ P12 Wt 3Dscatter.html
DOI: 10.6084/m9.figshare.25943440.v1
title: Supplementary Material from Altered Socio-Affective Communication and Amygdala Development in Mice with Protocadherin10-deficient Interneurons

description: Interactive File 7 _ P9 Wt 3Dscatter.html