cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15517676
title: Demo dataset for MusBioMaus (from 3D DeepLabCut to muscle outputs from MuJoCo)

description: This dataset accompanies a demo for "Neuro-musculoskeletal modeling reveals muscle-level neural dynamics of adaptive learning in sensorimotor cortex" by Travis DeWolf∗, Steffen Schneider∗, Paul Soubiran, Adrian Roggenbach, Paolo Muratore & Mackenzie Weygandt Mathis. See: https://musbiomaus.squarespace.com/
DOI: 10.5281/zenodo.15517677
title: Demo dataset for MusBioMaus (from 3D DeepLabCut to muscle outputs from MuJoCo)

description: This dataset accompanies a demo for "Neuro-musculoskeletal modeling reveals muscle-level neural dynamics of adaptive learning in sensorimotor cortex" by Travis DeWolf∗, Steffen Schneider∗, Paul Soubiran, Adrian Roggenbach, Paolo Muratore & Mackenzie Weygandt Mathis. See: https://musbiomaus.squarespace.com/
DOI: 10.5281/zenodo.15518025
title: Multilingual Aspect-Based Sentiment Analysis Dataset of Tourism Reviews in Indonesia (Labeled with Gemini 2 LLM)

description: This dataset contains manually verified aspect-based sentiment annotations for tourism-related Google Reviews in Central Java, Indonesia. It covers 10 popular tourist destinations and includes multilingual content (Indonesian and English). Each review is segmented and labeled based on the 3A tourism framework: Amenity, Attraction, and Accessibility, with sentiment polarities classified as Positive, Neutral, or Negative.

The annotation process combines rule-based aspect detection with LLM-enhanced verification. Specifically, this dataset was labeled using a hybrid approach that integrates a custom keyword dictionary and syntactic rules, refined through Gemini 2 (Google’s LLM) for aspect and sentiment validation. This approach improves multilingual ABSA accuracy and consistency, especially in noisy user-generated content.

### Dataset Structure:- `review`: Raw user review text- `aspect`: One of the 3A categories (Amenity, Attraction, Accessibility)- `sub_aspect`: Fine-grained subcategory under each aspect- `sentiment`: Sentiment polarity (Positive, Neutral, Negative)- `language`: Language of the review (id = Indonesian, en = English)- `source`: Name of the tourist destination

### Destinations Included:1. Borobudur2. Kota Lama Semarang3. Lawang Sewu4. Pantai Marina5. Dusun Semilir6. Prambanan7. Owabong8. Pantai Jatimalang9. Masjid Agung Demak10. Sunan Kalijaga

### Applications:This dataset is part of a doctoral research project on developing a multilingual tourism recommender system using Aspect-Based Sentiment Analysis (ABSA) and Decision Support Systems (DSS). It supports further research in:- Sentiment analysis- Recommender systems- Multilingual NLP- Tourism informatics- LLM-based content analysis

### Format:- CSV files (one per destination, labeled and cleaned)- UTF-8 encoding- Compatible with Python (pandas, transformers, HuggingFace Datasets)

### License:CC-BY 4.0

### Citation:Please cite this dataset using the DOI provided by Zenodo upon publication.
DOI: 10.5281/zenodo.15518026
title: Multilingual Aspect-Based Sentiment Analysis Dataset of Tourism Reviews in Indonesia (Labeled with Gemini 2 LLM)

description: This dataset contains manually verified aspect-based sentiment annotations for tourism-related Google Reviews in Central Java, Indonesia. It covers 10 popular tourist destinations and includes multilingual content (Indonesian and English). Each review is segmented and labeled based on the 3A tourism framework: Amenity, Attraction, and Accessibility, with sentiment polarities classified as Positive, Neutral, or Negative.

The annotation process combines rule-based aspect detection with LLM-enhanced verification. Specifically, this dataset was labeled using a hybrid approach that integrates a custom keyword dictionary and syntactic rules, refined through Gemini 2 (Google’s LLM) for aspect and sentiment validation. This approach improves multilingual ABSA accuracy and consistency, especially in noisy user-generated content.

### Dataset Structure:- `review`: Raw user review text- `aspect`: One of the 3A categories (Amenity, Attraction, Accessibility)- `sub_aspect`: Fine-grained subcategory under each aspect- `sentiment`: Sentiment polarity (Positive, Neutral, Negative)- `language`: Language of the review (id = Indonesian, en = English)- `source`: Name of the tourist destination

### Destinations Included:1. Borobudur2. Kota Lama Semarang3. Lawang Sewu4. Pantai Marina5. Dusun Semilir6. Prambanan7. Owabong8. Pantai Jatimalang9. Masjid Agung Demak10. Sunan Kalijaga

### Applications:This dataset is part of a doctoral research project on developing a multilingual tourism recommender system using Aspect-Based Sentiment Analysis (ABSA) and Decision Support Systems (DSS). It supports further research in:- Sentiment analysis- Recommender systems- Multilingual NLP- Tourism informatics- LLM-based content analysis

### Format:- CSV files (one per destination, labeled and cleaned)- UTF-8 encoding- Compatible with Python (pandas, transformers, HuggingFace Datasets)

### License:CC-BY 4.0

### Citation:Please cite this dataset using the DOI provided by Zenodo upon publication.
DOI: 10.25345/c5ng4h474
title: MassIVE MSV000097992 - Photo-crosslinked Peptide-RNA Hybrids with Tunable Length Map the Protein-RNA Interface
title: The interface between RNA-binding proteins and RNA can be interrogated in living cells with photo-crosslinking proteomics, where photo-crosslinked peptide-RNA hybrids pinpoint their interaction to the exact amino acid within the protein sequence. Currently, the most effective isolation of peptide-RNA hybrids eliminates the complete RNA chain by chemical digestion, leaving behind only a single base or nucleotide modification. This makes sequence determination on the RNA side of the interaction impossible. Here, we demonstrate that residual non-crosslinked RNA fragments commonly contaminate isolates of peptide-RNA hybrids and strongly interfere with their detection. We introduce pepR-MS - peptide-RNA crosslink isolation for sequencing by MS - an optimized workflow that selectively enriches crosslinked peptide-RNA hybrids with tunable RNA adduct length while eliminating non-crosslinked RNA and peptides. This strongly improves their detection and quantification by liquid chromatography and mass spectrometry (LC-MS), enabling parallel sequencing of the peptide alongside the RNA moiety from the same photo-crosslinked hybrid.
DOI: 10.15468/dl.98s3vd
title: Occurrence Download

description: A dataset containing 21360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthaceae"
 ]
}

 The dataset includes 21360 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001511-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/rh0-56a-2ds
title: †Mucronina helenae (Chapman, 1941)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jtd-3y9-d9b
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k0b-mjz-nes
title: Lenticulina denticulifera (Cushman, 1913)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cnz-cx9-ztp
title: Sphaerogypsina globulus (Reuss, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e13-xyg-1r3
title: Dorothia caribaea Cushman, 1936

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yvh-0md-1j3
title: Acervulina inhaerens Schultze, 1854

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ny-jly-qhb
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sgq-0hg-9n1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qjb-jks-8n7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8z5-f9w-w0m
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v3a-3tp-hde
title: †Neocomites peregrinus (Rawson & Kemper, 1978)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8wj-9lx-w7s
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qra-t9r-lyf
title: Bochianites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/szz-4ab-z7g
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ky2-7rm-6dz
title: †Neocomites peregrinus (Rawson & Kemper, 1978)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x4k-hgy-6m2
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8r5-3te-pzv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hc5-d17-sgr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ams-zza-aky
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6rd-fww-atq
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v8k-wxl-pcn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0yw-je7-4rw
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6nc-ax6-gfa
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1t5-x8m-mfp
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2ks-j7e-4lk
title: Hibolithes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tw4-sez-46b
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbf-32t-nxb
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jg3-6qj-e1d
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2rq-nr6-eg9
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c00-jvc-9rl
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ff7-kr3-6w8
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vng-lgr-sdt
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ccc-6zp-8eb
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r74-x41-ee7
title: Phyllopachyceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jhn-93j-29m
title: Valanginites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wjv-e73-59x
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yql-q9s-hn1
title: †Miliola Lamarck, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/35t-7tq-30c
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l65-wna-8qq
title: Macropyxis adriatica (Breman, 1975)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/paw-hx9-gll
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/756-xfy-n3l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fkk-lmy-ecb
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/btl-lbf-kel
title: †Rhynchonella Fischer de Waldheim, 1809

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6sd-h8w-5b6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/79p-zyv-p66
title: †Eriphyla Gabb, 1864

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1380396.10fu
title: SH1380396.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380397.10fu
title: SH1380397.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380401.10fu
title: SH1380401.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380402.10fu
title: SH1380402.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380404.10fu
title: SH1380404.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380406.10fu
title: SH1380406.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380409.10fu
title: SH1380409.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.x32xqn
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squatina dumeril"
 ]
}

 The dataset includes 131 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029917-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp25pc
title: Occurrence Download

description: A dataset containing 10011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecilia reticulata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 10011 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029919-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.