cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s6e6wb
title: Occurrence Download

description: A dataset containing 91438 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer platanoides L."
 ]
}

 The dataset includes 91438 records from 597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091608-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyj8bs
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrobrachium amazonicum (Heller, 1862)"
 ]
}

 The dataset includes 902 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062643-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tywxc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thyroptera tricolor Spix, 1823",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091618-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vz7sqf
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Saguinus leucopus (Günther, 1877)",
 "Year 2000-2020"
 ]
}

 The dataset includes 478 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049117-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvhvxe
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia theriaca L.C.Wheeler"
 ]
}

 The dataset includes 43 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091619-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw7jvv
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Accipiter haplochrous P.L.Sclater, 1859"
 ]
}

 The dataset includes 708 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008856-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqw6vf
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is BCCM/ULC Cyanobacteria culture collection at the University of Liège (ISO9001 certified)"
 ]
}

 The dataset includes 215 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049121-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmtutl
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomaria fruticosa (S.Watson) B.B.Simpson"
 ]
}

 The dataset includes 25 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091623-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44wxeg
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eleutherococcus sessiliflorus (Rupr. & Maxim.) S.Y.Hu)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 314 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008863-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5qfmf
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Semaprochilodus insignis (Jardine, 1841)"
 ]
}

 The dataset includes 338 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049124-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er86su
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scymnodon ringens Barbosa du Bocage & de Brito Capello, 1864"
 ]
}

 The dataset includes 124 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013935-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqwsfx
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senna monozyx (H.S.Irwin & Barneby) H.S.Irwin & Barneby"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091624-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgyv6g
title: Occurrence Download

description: A dataset containing 4194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Scincella lateralis (Say, 1822)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4194 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049133-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4qpvv
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus coahuilensis Nixon & C.H.Müll."
 ]
}

 The dataset includes 24 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091627-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eszb6
title: Occurrence Download

description: A dataset containing 23163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Seriola dumerili (Risso, 1810)"
 ]
}

 The dataset includes 23163 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013937-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnl2qt
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Swietenia mahagoni (L.) Jacq."
 ]
}

 The dataset includes 952 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009292-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9c5jf
title: Occurrence Download

description: A dataset containing 2247401 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 2247401 records from 1256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016904-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11564017
title: Trento 1851 - Building 723

description: Coordinates: N/A Length: 23.45 mWidth: 9.96 mHeight: 19.89 mPoints: 12 Vertices: 60 Primitives: 20
DOI: 10.5281/zenodo.11564016
title: Trento 1851 - Building 723

description: Coordinates: N/A Length: 23.45 mWidth: 9.96 mHeight: 19.89 mPoints: 12 Vertices: 60 Primitives: 20 Main Files:
Filename.glb.xml.objbuilding_723.glbLinkbuilding_723.objLink11564016_edm.xmlLink11564016_metsmods.xmlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.  - v0.0.3: Added XMLs for Europeana Data Model (EDM) and MetsMods.
DOI: 10.5281/zenodo.12530523
title: Trento 1851 - Building 723

description: Coordinates: N/A Length: 23.45 mWidth: 9.96 mHeight: 19.89 mPoints: 12 Vertices: 60 Primitives: 20 Main Files:
Filename.glb.objbuilding_723.objLinkbuilding_723.glbLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.
DOI: 10.5281/zenodo.12691293
title: Trento 1851 - Building 723

description: Coordinates: N/A Length: 23.45 mWidth: 9.96 mHeight: 19.89 mPoints: 12 Vertices: 60 Primitives: 20 Main Files:
Filename.glb.xml.objbuilding_723.glbLinkbuilding_723.objLink11564016_edm.xmlLink11564016_metsmods.xmlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.  - v0.0.3: Added XMLs for Europeana Data Model (EDM) and MetsMods.
DOI: 10.5281/zenodo.11251226
title: Sion 1760 - Building 53 (LoD-1)

description: Coordinates: N/A Length: 16.82 mWidth: 12.73 mHeight: 4.66 mVertices: 42 Primitives: 24  The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.
DOI: 10.5281/zenodo.12691297
title: Sion 1760 - Building 53 (LoD-1)

description: Coordinates: N/A Length: 16.82 mWidth: 12.73 mHeight: 4.66 mVertices: 42 Primitives: 24  The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.Main Files:
Filename.mtl.glb.xml.obj0___LoD1__id-53_002.glbLink0___LoD1__id-53_002.mtlLink0___LoD1__id-53_002.objLink11251225_edm.xmlLink11251225_metsmods.xmlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.  - v0.0.3: Added XMLs for Europeana Data Model (EDM) and MetsMods.
DOI: 10.5281/zenodo.11251225
title: Sion 1760 - Building 53 (LoD-1)

description: Coordinates: N/A Length: 16.82 mWidth: 12.73 mHeight: 4.66 mVertices: 42 Primitives: 24  The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.Main Files:
Filename.mtl.glb.xml.obj0___LoD1__id-53_002.glbLink0___LoD1__id-53_002.mtlLink0___LoD1__id-53_002.objLink11251225_edm.xmlLink11251225_metsmods.xmlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.  - v0.0.3: Added XMLs for Europeana Data Model (EDM) and MetsMods.
DOI: 10.5281/zenodo.11491233
title: Sion 1760 - Building 53 (LoD-1)

description: Coordinates: N/A Length: 16.82 mWidth: 12.73 mHeight: 4.66 mVertices: 42 Primitives: 24  The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.Main Files:
Filename.mtl.glb.obj0___LoD1__id-53_002.objLink0___LoD1__id-53_002.glbLink0___LoD1__id-53_002.mtlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.
DOI: 10.15468/dl.8tz5s8
title: Occurrence Download

description: A dataset containing 328018 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthyllis vulneraria L."
 ]
}

 The dataset includes 328018 records from 1619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017170-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e44mmn
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Urocitellus townsendii (Bachman, 1839))"
 ]
}

 The dataset includes 505 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017177-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mtk28hgc6x
title: Indian English Speech Emotion Dataset

description: Overview
Despite the global diversity of English accents, there is a notable scarcity of publicly available datasets for sentiment analysis focusing on Indian English speech. Existing speech emotion recognition datasets predominantly feature Western accents, limiting the development of region-specific models for Indian English, which is characterized by unique prosodic and phonetic variations. This dataset addresses this gap by providing a robust collection of Indian English speech samples tailored for emotion recognition, enabling advancements in culturally relevant AI applications.

Research Hypothesis
Acoustic features such as pitch, energy, and prosodic cues extracted directly from Indian English speech signals can effectively predict a speaker’s emotional state without requiring speech-to-text transcription. These signals contain distinguishable patterns for emotions like Happy, Sad, Angry, and Neutral, which can be learned by deep learning models such as Long Short-Term Memory (LSTM) networks.

Data Collection and Gathering
The dataset consists of audio recordings from native Indian English speakers across diverse regions of India, capturing a variety of accents and including both genders. Recordings were conducted in controlled, quiet environments to ensure high audio quality, with participants speaking short, natural sentences designed to express four emotions: Happy, Sad, Angry, and Neutral. The original dataset comprises 1,000 samples, evenly distributed across the four emotions .

To enhance model robustness and generalizability, data augmentation techniques—including pitch shifting, time stretching, and controlled noise addition—were applied, expanding the dataset to 3,000 samples. The augmented dataset maintains balance across emotions and is organized into labeled folders (Happy, Sad, Angry, Neutral) to facilitate supervised learning.

Notable Findings
An LSTM-based model trained solely on acoustic features, without reliance on textual transcription, achieved a classification accuracy of 85% on the original dataset. With the inclusion of augmented data, the accuracy improved significantly to 96%. These results highlight the effectiveness of acoustic cues in capturing emotional states in Indian English speech and the important role of data augmentation in improving model performance.

Data Interpretation and Usage
This dataset is a valuable resource for researchers and practitioners in speech emotion recognition and related fields. Potential applications include:

Developing and benchmarking transcription-free speech emotion recognition models.

Analyzing acoustic and prosodic patterns unique to Indian English emotional speech.

Building sentiment-aware applications such as voice assistants, call center analytics, and mental health monitoring tools.

Investigating the impact of data augmentation on acoustic-based sentiment model performance.
DOI: 10.17632/mtk28hgc6x.1
title: Indian English Speech Emotion Dataset

description: Overview
Despite the global diversity of English accents, there is a notable scarcity of publicly available datasets for sentiment analysis focusing on Indian English speech. Existing speech emotion recognition datasets predominantly feature Western accents, limiting the development of region-specific models for Indian English, which is characterized by unique prosodic and phonetic variations. This dataset addresses this gap by providing a robust collection of Indian English speech samples tailored for emotion recognition, enabling advancements in culturally relevant AI applications.

Research Hypothesis
Acoustic features such as pitch, energy, and prosodic cues extracted directly from Indian English speech signals can effectively predict a speaker’s emotional state without requiring speech-to-text transcription. These signals contain distinguishable patterns for emotions like Happy, Sad, Angry, and Neutral, which can be learned by deep learning models such as Long Short-Term Memory (LSTM) networks.

Data Collection and Gathering
The dataset consists of audio recordings from native Indian English speakers across diverse regions of India, capturing a variety of accents and including both genders. Recordings were conducted in controlled, quiet environments to ensure high audio quality, with participants speaking short, natural sentences designed to express four emotions: Happy, Sad, Angry, and Neutral. The original dataset comprises 1,000 samples, evenly distributed across the four emotions .

To enhance model robustness and generalizability, data augmentation techniques—including pitch shifting, time stretching, and controlled noise addition—were applied, expanding the dataset to 3,000 samples. The augmented dataset maintains balance across emotions and is organized into labeled folders (Happy, Sad, Angry, Neutral) to facilitate supervised learning.

Notable Findings
An LSTM-based model trained solely on acoustic features, without reliance on textual transcription, achieved a classification accuracy of 85% on the original dataset. With the inclusion of augmented data, the accuracy improved significantly to 96%. These results highlight the effectiveness of acoustic cues in capturing emotional states in Indian English speech and the important role of data augmentation in improving model performance.

Data Interpretation and Usage
This dataset is a valuable resource for researchers and practitioners in speech emotion recognition and related fields. Potential applications include:

Developing and benchmarking transcription-free speech emotion recognition models.

Analyzing acoustic and prosodic patterns unique to Indian English emotional speech.

Building sentiment-aware applications such as voice assistants, call center analytics, and mental health monitoring tools.

Investigating the impact of data augmentation on acoustic-based sentiment model performance.
DOI: 10.17632/n4wcsxn73n.1
title: Best upper bounds for SMSPRDs instances

description: In this data file, we upload the best upper bounds for SMSPRDs instances that we found by the proposed MPGA.
DOI: 10.17632/n4wcsxn73n
title: Best upper bounds for SMSPRDs instances

description: In this data file, we upload the best upper bounds for SMSPRDs instances that we found by the proposed MPGA.
DOI: 10.17632/n4wcsxn73n.2
title: Best upper bounds for SMSPRDs instances

description: In this data file, we upload the best upper bounds for SMSPRDs instances that we found by the proposed MPGA.
DOI: 10.17632/zyfnfn2xxp
title: Comparisons of MPGAV1, MPGAV2, and MPGA

description: Comparisons of MPGAV1, MPGAV2, and MPGA
DOI: 10.17632/zyfnfn2xxp.1
title: Comparisons of MPGAV1, MPGAV2, and MPGA

description: Comparisons of MPGAV1, MPGAV2, and MPGA
DOI: 10.5517/ccdc.csd.cc2m8vlc
title: CCDC 2421583: Experimental Crystal Structure Determination

description: Related Article: Haozheng Li, Hanna H. Cramer, Jose B. Roque, Carlota Odena, Alex M. Shimozono, Paul J. Chirik|2025|J.Am.Chem.Soc.|147|14163|doi:10.1021/jacs.4c15596
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m8vnf
title: CCDC 2421585: Experimental Crystal Structure Determination

description: Related Article: Haozheng Li, Hanna H. Cramer, Jose B. Roque, Carlota Odena, Alex M. Shimozono, Paul J. Chirik|2025|J.Am.Chem.Soc.|147|14163|doi:10.1021/jacs.4c15596
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/d436kztw7x
title: Comparisons of ALNS, IGwS, and MPGA

description: Comparisons of ALNS, IGwS, and MPGA
DOI: 10.17632/d436kztw7x.1
title: Comparisons of ALNS, IGwS, and MPGA

description: Comparisons of ALNS, IGwS, and MPGA
DOI: 10.15468/dl.vp9blv
title: Occurrence Download

description: A dataset containing 15720 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Italy",
 "Country is Spain",
 "Country is France"
 ]
 },
 "Year 1971-2019",
 "HasCoordinate is true",
 "TaxonKey is Neophron perenopterus (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15720 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021552-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2fzjz
title: Occurrence Download

description: A dataset containing 348269 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Reef Life Survey: Global reef fish dataset"
 ]
}

 The dataset includes 348269 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120908-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oxuzzp
title: Occurrence Download

description: A dataset containing 42125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scinax Wagler, 1830"
 ]
}

 The dataset includes 42125 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007056-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.