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

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Asplenium obovatum Viv."
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001093-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqmnfz
title: Occurrence Download

description: A dataset containing 3088 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater biodiversity"
 ]
}

 The dataset includes 3088 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001094-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9459gj
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Desmodium sessilifolium (Torr. ex M.A.Curtis) Torr. & A.Gray)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 937 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001095-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqscvc
title: Occurrence Download

description: A dataset containing 3836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cebus apella (Linnaeus, 1758)"
 ]
}

 The dataset includes 3836 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001097-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3g5w5
title: Occurrence Download

description: A dataset containing 1096932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1096932 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001084-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r52cbd
title: Occurrence Download

description: A dataset containing 4213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Desmodium tortuosum (Sw.) DC., Desmodium tortuosum Hepper, Desmodium tortuosum Webb)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4213 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001096-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/zuknt5
title: Hybridization of Terahertz Phonons and Magnons in Disparate and Spatially-Separated Material Specimens

description: Data files and scripts generating figures for publication "Hybridization of Terahertz Phonons and Magnons in Disparate and Spatially-Separated Material Specimens" M. Białek, Y. Todorov, K. Stelmaszczyk, D. Szwagierczak, B. Synkiewicz-Musialska, J. Kulawik, N. Pałka, M. Potemski, W. Knap, Advanced Functional Materials 35, 2416037 (2025)
DOI: 10.15468/dl.bqn7sf
title: Occurrence Download

description: A dataset containing 2022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Desmodium triflorum (L.) DC., Desmodium triflorum Wall. ex Wight & Arn., Desmodium triflorum Wall.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2022 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001098-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s64pzr
title: Occurrence Download

description: A dataset containing 2063 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Savu Sea-Indonesia eDNA Dataset"
 ]
}

 The dataset includes 2063 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001099-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6pvgu
title: Occurrence Download

description: A dataset containing 2114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Desmodium uncinatum (Jacq.) DC.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2114 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001100-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhx69s
title: Occurrence Download

description: A dataset containing 3836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cebus apella (Linnaeus, 1758)"
 ]
}

 The dataset includes 3836 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001102-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93s88z
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Enterolobium ellipticum Benth.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 90 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001103-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14041718
title: Datasets used for Evaluating Relative Importance of Hydrologic Forecasts Versus Production Decisions on Electricity Price Forecasts.

description: This dataset accompanies the analysis on investigating the influence of short-to-medium-range hydrlogic forecasts on electricity prices relative to the impact of production decisions of individual hydropower producer's impact on prices for the U.S. Western interconnection. The work also investigates the dependencies of the results on geography, seasonality, and hydrologic conditions.
DOI: 10.5281/zenodo.14041719
title: Datasets used for Evaluating Relative Importance of Hydrologic Forecasts Versus Production Decisions on Electricity Price Forecasts.

description: This dataset accompanies the analysis on investigating the influence of short-to-medium-range hydrlogic forecasts on electricity prices relative to the impact of production decisions of individual hydropower producer's impact on prices for the U.S. Western interconnection. The work also investigates the dependencies of the results on geography, seasonality, and hydrologic conditions.
DOI: 10.5281/zenodo.15062211
title: PatentsView full description text for the 12/31/2024 release, both granted and pre-grant.

description: These are the detailed description text from granted patents (1976-2014, prefix "g_") and patent applications (2021-2014, prefix "pg_") from the final release of PatentsView on 12/31/2024.
DOI: 10.5281/zenodo.15062212
title: PatentsView full description text for the 12/31/2024 release, both granted and pre-grant.

description: These are the detailed description text from granted patents (1976-2014, prefix "g_") and patent applications (2021-2014, prefix "pg_") from the final release of PatentsView on 12/31/2024.
DOI: 10.15468/dl.s635mv
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eriosema englerianum Harms)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 92 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001105-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufbwr7
title: Occurrence Download

description: A dataset listing the 370 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater biodiversity"
 ]
}

 The dataset's 370 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001101-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckwf9v
title: Occurrence Download

description: A dataset containing 3531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erythrina fusca Lour.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3531 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001106-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7288/v4/magic/19964
title: Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho (Dataset)

description: Paleomagnetic, rock magnetic, or geomagnetic data found in the MagIC data repository from a paper titled: Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho
DOI: 10.7288/v4/magic/20037
title: New Paleomagnetic Constraints on the Eruption Timing, Stratigraphy, and Post‐Emplacement Deformation of the Picture Gorge Basalt Within the Columbia River Basalt Group (Dataset)

description: Paleomagnetic, rock magnetic, or geomagnetic data found in the MagIC data repository from a paper titled: New Paleomagnetic Constraints on the Eruption Timing, Stratigraphy, and Post‐Emplacement Deformation of the Picture Gorge Basalt Within the Columbia River Basalt Group
DOI: 10.15468/dl.w9637v
title: Occurrence Download

description: A dataset containing 564696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-80.42589 29.19003,-80.45316 27.66272,-80.53498 25.91724,-81.55171 25.66467,-82.19865 26.62634,-83.26231 27.71727,-85.88054 26.38088,-89.12606 23.46264,-88.11695 21.60806,-86.80783 21.41715,-86.64419 20.43531,-87.76239 17.98072,-87.57148 16.39887,-86.56237 15.98977,-84.57142 15.9625,-83.09867 14.81702,-83.3714 13.56245,-83.42595 12.60789,-83.69868 11.32604,-83.15321 10.09875,-81.40772 9.226,-80.04406 9.6351,-78.38039 9.49873,-77.12582 8.59872,-75.84398 9.52601,-75.68034 10.83512,-74.58941 11.32604,-73.03483 11.54423,-71.37117 12.60789,-70.4166 11.48968,-68.97112 11.43514,-68.15292 10.4533,-66.32561 10.50785,-64.38921 10.15329,-62.78009 10.88967,-61.8528 8.8169,-60.92551 8.46235,-59.72549 8.46235,-58.49819 7.23505,-55.9345 9.3351,-54.51629 13.5079,-57.07998 20.89896,-58.30728 23.84447,-64.11648 24.96267,-69.13476 26.92635,-73.08938 28.48092,-76.85309 30.41732,-78.89858 30.4446,-80.18043 30.49914,-80.42589 29.19003))",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 564696 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001104-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w823a
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erythrina variegata L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1086 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001107-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvwrqh
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Drosera communis A.St.-Hil."
 ]
}

 The dataset includes 371 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163857-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypf3x4
title: Occurrence Download

description: A dataset containing 5328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Morone americana (Gmelin, 1789)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5328 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024466-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2gq4q
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Concholepas concholepas (Bruguière, 1789)"
 ]
}

 The dataset includes 335 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001171-150912100344238/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwpwgm
title: Occurrence Download

description: A dataset containing 14629181 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Brazil",
 "Country is Mexico",
 "Country is Costa Rica"
 ]
 },
 "Year 2000-2018"
 ]
}

 The dataset includes 14629181 records from 1788 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024466-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtnqae
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asparagus adscendens Roxb."
 ]
}

 The dataset includes 106 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043067-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14260541
title: URDU Dataset for Multi-modal Sentiment Analysis

description: The "Multi-modal Sentiment Analysis Dataset for Urdu Language Opinion Videos" is a valuable resource aimed at advancing research in sentiment analysis, natural language processing, and multimedia content understanding. This dataset is specifically curated to cater to the unique context of Urdu language opinion videos, a dynamic and influential content category in the digital landscape.

Dataset Description:



Size and Diversity: This dataset comprises an extensive collection of Urdu language opinion videos, encompassing a wide spectrum of topics and sentiments. It consists of a total of 214 videos, each of varying lengths, offering a diverse and comprehensive representation of the Urdu language content landscape.

Sentiment Annotations: The dataset is meticulously annotated with sentiment labels, providing information on the emotional tone expressed in each video. The sentiment labels include "positive," "negative," and "neutral," offering a nuanced understanding of the sentiment conveyed in these multimedia opinion pieces.

Multi-modal Approach: A unique feature of this dataset is its multi-modal approach. It combines text, audio, and visual data to enable researchers to delve into the various dimensions of sentiment analysis within the context of opinion videos. The multi-modal annotations encompass the textual content of spoken words, the auditory characteristics of the videos, and the visual cues from the video frames.


Significance and Applications:

This dataset holds significant value for both the research community and practical applications:



Research Advancement: Researchers can employ this dataset to investigate the complex landscape of sentiment analysis within the context of opinion videos. It facilitates inquiries into sentiment trends, the development of sentiment analysis models, and the creation of sentiment-aware multimedia content analysis tools.

Content Recommendation: The dataset can play a pivotal role in the development of content recommendation systems that cater to viewers' emotional preferences. Understanding sentiment in opinion videos is crucial for improving content engagement and user experience.

User Engagement Analysis: The dataset can empower studies on user engagement and interaction with multimedia content. It is an essential resource for researchers aiming to decode the factors influencing viewer reactions and engagement in multimedia.


 

Researchers are encouraged to explore and utilize this dataset for various academic and commercial purposes, fostering innovation in sentiment analysis and multimedia understanding. The dataset is made available with open access to facilitate collaborative research and to contribute to the broader knowledge in the field.
DOI: 10.5281/zenodo.14260540
title: URDU Dataset for Multi-modal Sentiment Analysis

description: The "Multi-modal Sentiment Analysis Dataset for Urdu Language Opinion Videos" is a valuable resource aimed at advancing research in sentiment analysis, natural language processing, and multimedia content understanding. This dataset is specifically curated to cater to the unique context of Urdu language opinion videos, a dynamic and influential content category in the digital landscape.

Dataset Description:



Size and Diversity: This dataset comprises an extensive collection of Urdu language opinion videos, encompassing a wide spectrum of topics and sentiments. It consists of a total of 214 videos, each of varying lengths, offering a diverse and comprehensive representation of the Urdu language content landscape.

Sentiment Annotations: The dataset is meticulously annotated with sentiment labels, providing information on the emotional tone expressed in each video. The sentiment labels include "positive," "negative," and "neutral," offering a nuanced understanding of the sentiment conveyed in these multimedia opinion pieces.

Multi-modal Approach: A unique feature of this dataset is its multi-modal approach. It combines text, audio, and visual data to enable researchers to delve into the various dimensions of sentiment analysis within the context of opinion videos. The multi-modal annotations encompass the textual content of spoken words, the auditory characteristics of the videos, and the visual cues from the video frames.


Significance and Applications:

This dataset holds significant value for both the research community and practical applications:



Research Advancement: Researchers can employ this dataset to investigate the complex landscape of sentiment analysis within the context of opinion videos. It facilitates inquiries into sentiment trends, the development of sentiment analysis models, and the creation of sentiment-aware multimedia content analysis tools.

Content Recommendation: The dataset can play a pivotal role in the development of content recommendation systems that cater to viewers' emotional preferences. Understanding sentiment in opinion videos is crucial for improving content engagement and user experience.

User Engagement Analysis: The dataset can empower studies on user engagement and interaction with multimedia content. It is an essential resource for researchers aiming to decode the factors influencing viewer reactions and engagement in multimedia.


 

Researchers are encouraged to explore and utilize this dataset for various academic and commercial purposes, fostering innovation in sentiment analysis and multimedia understanding. The dataset is made available with open access to facilitate collaborative research and to contribute to the broader knowledge in the field.
DOI: 10.5281/zenodo.14291010
title: URDU Dataset for Multi-modal Sentiment Analysis

description: The "Multi-modal Sentiment Analysis Dataset for Urdu Language Opinion Videos" is a valuable resource aimed at advancing research in sentiment analysis, natural language processing, and multimedia content understanding. This dataset is specifically curated to cater to the unique context of Urdu language opinion videos, a dynamic and influential content category in the digital landscape.

Dataset Description:



Size and Diversity: This dataset comprises an extensive collection of Urdu language opinion videos, encompassing a wide spectrum of topics and sentiments. It consists of a total of 214 videos, each of varying lengths, offering a diverse and comprehensive representation of the Urdu language content landscape.

Sentiment Annotations: The dataset is meticulously annotated with sentiment labels, providing information on the emotional tone expressed in each video. The sentiment labels include "positive," "negative," and "neutral," offering a nuanced understanding of the sentiment conveyed in these multimedia opinion pieces.

Multi-modal Approach: A unique feature of this dataset is its multi-modal approach. It combines text, audio, and visual data to enable researchers to delve into the various dimensions of sentiment analysis within the context of opinion videos. The multi-modal annotations encompass the textual content of spoken words, the auditory characteristics of the videos, and the visual cues from the video frames.


Significance and Applications:

This dataset holds significant value for both the research community and practical applications:



Research Advancement: Researchers can employ this dataset to investigate the complex landscape of sentiment analysis within the context of opinion videos. It facilitates inquiries into sentiment trends, the development of sentiment analysis models, and the creation of sentiment-aware multimedia content analysis tools.

Content Recommendation: The dataset can play a pivotal role in the development of content recommendation systems that cater to viewers' emotional preferences. Understanding sentiment in opinion videos is crucial for improving content engagement and user experience.

User Engagement Analysis: The dataset can empower studies on user engagement and interaction with multimedia content. It is an essential resource for researchers aiming to decode the factors influencing viewer reactions and engagement in multimedia.


 

Researchers are encouraged to explore and utilize this dataset for various academic and commercial purposes, fostering innovation in sentiment analysis and multimedia understanding. The dataset is made available with open access to facilitate collaborative research and to contribute to the broader knowledge in the field.