cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18764262
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: 2026-02-24 · 603,667 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: 10.15468/dl.4sgdsp
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cabomba palaeformis"
 ]
}

 The dataset includes 447 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008129-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqn5ks
title: Occurrence Download

description: A dataset containing 57 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 Erythronium oregonum",
 "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 57 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008128-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efja94
title: Occurrence Download

description: A dataset containing 1288 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-101.47549 20.44684,-99.69837 20.44684,-99.69837 21.15739,-101.47549 21.15739,-101.47549 20.44684))",
 "Geometry POLYGON((-100.79924 20.84049,-100.63455 20.75589,-100.57065 20.84409,-100.52115 21.02048,-100.57335 21.11048,-100.65435 21.11588,-100.74884 20.95929,-100.79924 20.84049))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 1288 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008126-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8t56m
title: Occurrence Download

description: A dataset containing 40337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Continent derived from country, Continent derived from coordinates, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date unlikely, Identified date unlikely, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Azolla"
 ]
}

 The dataset includes 40337 records from 841 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008127-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18764271
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: 2026-02-24 · 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: 10.15468/dl.qhm89t
title: Occurrence Download

description: A dataset containing 4167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Living Specimen, Material sample)",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "TaxonKey is one of (Bithynia tentaculata, Bythotrephes longimanus, Cercopagis pengoi, Corbicula fluminea, Dreissena bugensis, Dreissena polymorpha, Eriocheir sinensis, Hemimysis anomala, Melanoides tuberculata, Potamopyrgus antipodarum, Procambarus virginalis)"
 ]
}

 The dataset includes 4167 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008132-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhv7ey
title: Occurrence Download

description: A dataset containing 1087 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",
 "TaxonKey is Plectorhinchus mediterraneus"
 ]
}

 The dataset includes 1087 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008131-260221153910048/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.28341989
title: Dataset for: Hydrocode simulation of Lonar impact event: insights into brittle deformation and formation of simple craters in basalt

description: This repository contains the complete input parameter files used for hydrocode simulations of the Lonar impact event performed with the iSALE-2D shock physics code. The dataset supports the resolution sensitivity (CPPR) tests presented in the associated manuscript:<b>“Hydrocode simulation of Lonar impact event: insights into brittle deformation and formation of simple craters in basalt.”</b>The simulations investigate the formation of a simple impact crater in a basaltic target analogous to the Lonar crater (India), focusing on shock pressure distribution, temperature evolution, plastic strain, and fracture development.To assess numerical convergence and model robustness, simulations were performed at four spatial resolutions expressed as cells per projectile radius (CPPR):<b>CPPR = 10</b><b>CPPR = 20</b><b>CPPR = 30</b><b>CPPR = 40</b>Each resolution test is stored in a separate directory:<code>Lonar_49</code> → CPPR = 10<code>Lonar_50</code> → CPPR = 20<code>Lonar_51</code> → CPPR = 30<code>Lonar_52</code> → CPPR = 40Each directory contains two essential iSALE input files:<code>asteroid.inp</code> – Defines projectile parameters<code>material.inp</code> – Defines material properties for both projectile and target
DOI: 10.6084/m9.figshare.28341989.v2
title: Dataset for: Hydrocode simulation of Lonar impact event: insights into brittle deformation and formation of simple craters in basalt

description: This repository contains the complete input parameter files used for hydrocode simulations of the Lonar impact event performed with the iSALE-2D shock physics code. The dataset supports the resolution sensitivity (CPPR) tests presented in the associated manuscript:<b>“Hydrocode simulation of Lonar impact event: insights into brittle deformation and formation of simple craters in basalt.”</b>The simulations investigate the formation of a simple impact crater in a basaltic target analogous to the Lonar crater (India), focusing on shock pressure distribution, temperature evolution, plastic strain, and fracture development.To assess numerical convergence and model robustness, simulations were performed at four spatial resolutions expressed as cells per projectile radius (CPPR):<b>CPPR = 10</b><b>CPPR = 20</b><b>CPPR = 30</b><b>CPPR = 40</b>Each resolution test is stored in a separate directory:<code>Lonar_49</code> → CPPR = 10<code>Lonar_50</code> → CPPR = 20<code>Lonar_51</code> → CPPR = 30<code>Lonar_52</code> → CPPR = 40Each directory contains two essential iSALE input files:<code>asteroid.inp</code> – Defines projectile parameters<code>material.inp</code> – Defines material properties for both projectile and target
DOI: 10.6084/m9.figshare.28341989.v1
title: Dataset for: Hydrocode simulation of Lonar impact event: insights into brittle deformation and formation of simple craters in basalt

description: This repository contains input files for iSALE simulations, focusing on asteroid impacts. The files include:<code><strong>asteroid.inp</strong></code>: Input parameters defining asteroid characteristics (size, velocity, etc.).<code><strong>material.inp</strong></code>: Input material properties for the target rock and impactor.These files are prepared for use in high-precision impact modeling and can be utilized by researchers and engineers working on impact cratering, material deformation, and shock wave propagation studies.
DOI: 10.5281/zenodo.18764290
title: knowless — Drie kloven in het migratiedebat (dataset v3)

description: Geaggregeerde, geanonimiseerde surveydata van het knowless-onderzoek naar perceptiekloven, definitiekloven en uitingskloven in het Nederlandse migratiedebat. Bevat perceptieschattingen, demografische verdelingen, kwaliteitsmetrieken en de volledige vragenlijst.
DOI: 10.5281/zenodo.18764291
title: knowless — Drie kloven in het migratiedebat (dataset v4)

description: Geaggregeerde, geanonimiseerde surveydata van het knowless-onderzoek naar perceptiekloven, definitiekloven en uitingskloven in het Nederlandse migratiedebat. Bevat perceptieschattingen, demografische verdelingen, kwaliteitsmetrieken en de volledige vragenlijst.
DOI: 10.15468/dl.vbkuz9
title: Occurrence Download

description: A dataset containing 482354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Aves, Insecta)",
 "Geometry MULTIPOLYGON (((-6.162984 53.40257, -6.163884 53.41239, -6.301779 53.41239, -6.300858 53.40257, -6.314645 53.40257, -6.313723 53.39276, -6.327509 53.39276, -6.326585 53.38294, -6.340368 53.38294, -6.339443 53.37312, -6.353225 53.37312, -6.352298 53.36331, -6.379857 53.36331, -6.378927 53.3535, -6.406481 53.3535, -6.407416 53.36331, -6.476312 53.36331, -6.474425 53.34368, -6.460649 53.34368, -6.457828 53.31425, -6.444059 53.31425, -6.441248 53.28483, -6.455012 53.28483, -6.454074 53.27502, -6.385267 53.27502, -6.38434 53.26521, -6.315544 53.26521, -6.316461 53.27502, -6.261415 53.27502, -6.260506 53.26521, -6.232987 53.26521, -6.232083 53.25541, -6.218326 53.25541, -6.217423 53.2456, -6.203668 53.2456, -6.204568 53.25541, -6.149539 53.25541, -6.148647 53.2456, -6.134891 53.2456, -6.133113 53.226, -6.10561 53.226, -6.109153 53.26521, -6.081635 53.26521, -6.082518 53.27502, -6.068756 53.27502, -6.069638 53.28483, -6.097165 53.28483, -6.098051 53.29463, -6.111816 53.29463, -6.112705 53.30444, -6.181542 53.30444, -6.182441 53.31425, -6.19621 53.31425, -6.198014 53.33387, -6.170468 53.33387, -6.171367 53.34368, -6.185142 53.34368, -6.186043 53.3535, -6.158489 53.3535, -6.159387 53.36331, -6.145607 53.36331, -6.146504 53.37312, -6.132722 53.37312, -6.133617 53.38294, -6.119834 53.38294, -6.121621 53.40257, -6.162984 53.40257)))"
 ]
}

 The dataset includes 482354 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008053-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/wrw5cb
title: Yukon University Herbarium

description: YukonU Herbarium (global identifier: YUKONU) is home to a collection of vascular plants, bryophytes, fungi, and lichen from the Yukon Territory, Canada. YUKONU captures plant diversity across the Yukon, serving as a historical reference collection dating back to the 1960s. With over 10,000 specimens, approximately 80% are represented by vascular plants and are included in the present digitized collection. YUKONU also houses over 2,000 cryptogamic specimens (lichens, fungi, and bryophytes), which are currently undergoing curation and will be included digitally as well. Encouraging diverse utilization and engagement from local and visiting researchers, students, and community members, the YukonU Herbarium is an invaluable scientific and cultural resource dedicated to the documentation and celebration of plant diversity.
DOI: 10.5281/zenodo.18764256
title: Bounding the costs of electric vehicle managed charging—supply curves for scenarios from 2025 to 2050

description: Overview

As electric vehicle (EV) adoption increases, the resulting EV battery charging will increase demand on the electric power grid. Through EV managed charging (EVMC) programs, charging can be shifted in time to support electric grid reliability and reduce electricity costs. EVMC can offer an alternative to additional supply-side generation, but the costs of EVMC implementation must be understood to evaluate the cost-benefits of EVMC. This paper presents bottom-up, forward-looking (from 2025 through 2050) estimates of the incremental costs associated with different EVMC dispatch mechanisms available to electric utilities. The costs of enabling EVMC for a range of customer participation levels are presented in the form of supply curves, which provide per-EV costs for a targeted level of participation. The largest drivers of cost variation are assumptions about future charging flexibility paradigms described in four scenarios. These supply curves can be used to quantify the expected costs of EVMC programs and enable comparison with supply-side or other demand flexibility alternatives.

Data Description

This dataset was produced using the methodology described in "Bounding the costs of electric vehicle managed charging—supply curves for scenarios from 2025 to 2050."

Data files include:





scenario_vars.csv contains costs and other supply curve parameters (upper limits of participation, enrollment response to a given incentive, and ratio of customers expected to require a new charger).




costs_table_1_pct.csv is a table of per EV costs for all years ($ per vehicle in 2025 dollars), vehicle types, and programs at 1% increments of customer participation.




betas_table.csv is a table of beta values, or values that determine the customer participation rate as a function of incentives. This function is a decaying exponential response of the form r*(1-e^(-beta*x)) where x is the annual incentive value in USD/vehicle-year and r is a maximum participation rate.



The first file is essential to generating EVMC supply curves, while the last two tables are provided for users who would like the supply curve data without needing to install or run code.
DOI: 10.5281/zenodo.18764255
title: Bounding the costs of electric vehicle managed charging—supply curves for scenarios from 2025 to 2050

description: Overview

As electric vehicle (EV) adoption increases, the resulting EV battery charging will increase demand on the electric power grid. Through EV managed charging (EVMC) programs, charging can be shifted in time to support electric grid reliability and reduce electricity costs. EVMC can offer an alternative to additional supply-side generation, but the costs of EVMC implementation must be understood to evaluate the cost-benefits of EVMC. This paper presents bottom-up, forward-looking (from 2025 through 2050) estimates of the incremental costs associated with different EVMC dispatch mechanisms available to electric utilities. The costs of enabling EVMC for a range of customer participation levels are presented in the form of supply curves, which provide per-EV costs for a targeted level of participation. The largest drivers of cost variation are assumptions about future charging flexibility paradigms described in four scenarios. These supply curves can be used to quantify the expected costs of EVMC programs and enable comparison with supply-side or other demand flexibility alternatives.

Data Description

This dataset was produced using the methodology described in "Bounding the costs of electric vehicle managed charging—supply curves for scenarios from 2025 to 2050."

Data files include:





scenario_vars.csv contains costs and other supply curve parameters (upper limits of participation, enrollment response to a given incentive, and ratio of customers expected to require a new charger).




costs_table_1_pct.csv is a table of per EV costs for all years ($ per vehicle in 2025 dollars), vehicle types, and programs at 1% increments of customer participation.




betas_table.csv is a table of beta values, or values that determine the customer participation rate as a function of incentives. This function is a decaying exponential response of the form r*(1-e^(-beta*x)) where x is the annual incentive value in USD/vehicle-year and r is a maximum participation rate.



The first file is essential to generating EVMC supply curves, while the last two tables are provided for users who would like the supply curve data without needing to install or run code.
DOI: 10.18739/a20z70z9c
title: Perspectives from State and Regional Professionals on Rural Alaskan Water Projects (2020-2021)

description: This dataset comprises anonymized transcripts from 20 semi-structured interviews with engineers, program managers, service providers, and researchers engaged in water infrastructure work in rural Alaska. Interviewees represented tribal, federal, and state agencies; private companies; nonprofit organizations; and academic institutions involved in the design, management, operation, or study of community drinking water systems across Alaska. Interviews were conducted in 2020 and 2021 and focused on identifying factors that contribute to the success or failure of rural Alaska drinking water projects. These projects face a range of persistent challenges that threaten reliable access to clean drinking water for community members.
 Interviews supported the following publication: Thelemaque, N., Cotherman, A., Pearson, R., Eichelberger, L., Neumann, R. B., & Kaminsky, J. A. (2022). Identifying the Built, Natural, and Social Factors of Successful and Failed Rural Alaskan Water Projects: Perspectives from State and Regional Professionals. Academic Chemical Society (ACS) Environmental Science and Technology (EST) Water. https://doi.org/10.1021/acsestwater.2c00201
 File names for interview transcripts include the date of the interview, the professional role of the interviewee, and the number of years of experience they had at the time of the interview in rural Alaska water systems. Professional role categories included:
 - Geophysicist
 - Water pump service provider (abbreviated as 'pump' in file name)
 - Researcher in engineering, Alaskan rural water, or arctic research (abbreviated as 'researcher' in file name)
 - Engineer/project manager/construction manager (abbreviated as 'engineer' in file name)
 - Director/program manager for environmental health, drinking water, facilities, operator certification, and/or remote maintenance (abbreviated as 'director' in file name)
DOI: 10.15468/dl.9ce2k5
title: Occurrence Download

description: A dataset containing 1218 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",
 "TaxonKey is Pagellus bellottii"
 ]
}

 The dataset includes 1218 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008136-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.