cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1132978
title: Digital Archive from an Archaeological Excavation at Minchens Lane, Bramley, Hampshire, August-September 2023

description: This collection comprises images, site records, reports, spreadsheets, and databases from an open area excavation at land at Minchens Lane, Bramley, Hampshire. This work was undertaken by Ecus Ltd in August to September 2023. The excavation recorded extensive, but heavily truncated, evidence for an unenclosed early Iron Age settlement dated from pottery evidence to the period c. 800-600 BC. Due to the truncation and dispersed nature of many of the features, few stratigraphic relationships were present and it was not possible to differentiate distinct phases of activity. The similarity of the finds throughout suggested a single, albeit possibly protracted, period of occupation.&lt;/p&gt;
DOI: 10.6084/m9.figshare.29278742
title: CC125_BS@cutoff5@ratio5.CX_report_bv_TBSclean.txt.bedGraph.bw

description: WGBS data of <i>Chlamydomonas reinhardtii</i><i> </i>CC125 with DEA treatment.
DOI: 10.6084/m9.figshare.29278742.v1
title: CC125_BS@cutoff5@ratio5.CX_report_bv_TBSclean.txt.bedGraph.bw

description: WGBS data of <i>Chlamydomonas reinhardtii</i><i> </i>CC125 with DEA treatment.
DOI: 10.15468/dl.fa65ea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heleophryne depressa FitzSimons, 1946",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032964-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29246210.v5
title: Anvi'o databases

description: Intermediary files and outputs associated with the manuscript titled "<b>Assemblies of long-read metagenomes suffer from diverse errors</b>" by Florian Trigodet et al.Description of content: Anvi'o contigs and profile database of each assembly and the associated mapped long reads.
DOI: 10.15468/dl.736ysh
title: Occurrence Download

description: A dataset containing 36348823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "License is CC-BY 4.0",
 "Month is one of (October, November, December)",
 "Year 2018-2019"
 ]
}

 The dataset includes 36348823 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032943-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66mq9f
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Gerbilliscus nigricaudus (Peters, 1878)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 62 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032968-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jf8fvj
title: Occurrence Download

description: A dataset containing 31360 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Neuropteren Deutschlands (Neuropterida of Germany)"
 ]
}

 The dataset includes 31360 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032966-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4d964
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heleophryne depressa FitzSimons, 1946",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032969-250525065834625/datasets/export for details.
DOI: 10.15468/dl.epbu7r
title: Occurrence Download

description: A dataset containing 9461179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9461179 records from 2945 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032949-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e26end
title: Occurrence Download

description: A dataset containing 1519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((85.85124 26.90277,86.10353 26.90277,86.10353 27.20937,85.85124 27.20937,85.85124 26.90277))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1519 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055678-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/p5bgk4
title: PDB: 6RP8, Crystal Structure of Ipilimumab Fab complexed with CTLA-4 (311K, 38°C, 200 ns)

description: Molecular Dynamics Simulations (100 nanoseconds) of Crystal Structure of Ipilimumab Fab complexed with CTLA-4 (311K, 38°C, 200 ns). Includes PDB files obtained every 50ns and free energy calculation.
DOI: 10.17026/ar/l7yqhc
title: PAN-00161200 - terra sigillata bowl type Drag. 37 (SG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00161200&lt;/p&gt;
description: Modified: 2025-11-06T09:49:29+01:00
DOI: 10.6084/m9.figshare.30866540
title: Supplementary Files Title : Comparative population genomic analysis of Brevibacterium casei isolated from a Tuberculosis Patient.

description: Supporting files
DOI: 10.6084/m9.figshare.30866540.v1
title: Supplementary Files Title : Comparative population genomic analysis of Brevibacterium casei isolated from a Tuberculosis Patient.

description: Supporting files
DOI: 10.15468/dl.7kbcxc
title: Occurrence Download

description: A dataset containing 5579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ciconia boyciana, Ciconia ciconia boyciana)",
 "Year 2015-2025"
 ]
}

 The dataset includes 5579 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055679-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gcaoxn
title: PDB: 6RP8, Crystal Structure of Ipilimumab Fab complexed with CTLA-4 (310K, 37°C, 200 ns)

description: Molecular Dynamics Simulations (100 nanoseconds) of Crystal Structure of Ipilimumab Fab complexed with CTLA-4 (310K, 37°C, 200 ns). Includes PDB files obtained every 50ns and free energy calculation.
DOI: 10.17026/ar/pf1fl9
title: PAN-00165096 - cylindrical or disc-shaped Roman block weight

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00165096&lt;/p&gt;
description: Modified: 2025-05-13T15:18:53+02:00
DOI: 10.7910/dvn/17nkym
title: PDB: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (313K, 40°C, 500 ns): random seed #1

description: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (313K, 40°C, 500 ns): random seed #1. PDBs obtained every 50 ns.
DOI: 10.17026/ar/r9aymr
title: PAN-00000676 - coin/coin-related, Constantinus I (306-337), voor Constans, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00000676&lt;/p&gt;
description: Modified: 2025-07-07T07:01:52+02:00
DOI: 10.6084/m9.figshare.25827034
title: <b>M</b>usic <b>Emo</b>tion Dataset with <b>2496</b> Songs for Music Emotion Recognition (<b>Memo2496)</b>

description: Music emotion recognition delineates and categorises the spectrum of emotions expressed within musical compositions by conducting a comprehensive analysis of fundamental attributes, including melody, rhythm, and timbre. This task is pivotal for the tailoring of music recommendations, the enhancement of music production, the facilitation of psychotherapeutic interventions, and the execution of market analyses, among other applications. The cornerstone is the establishment of a music emotion recognition dataset annotated with reliable emotional labels, furnishing machine learning algorithms with essential training and validation tools, thereby underpinning the precision and dependability of emotion detection. The Music Emotion Dataset with 2496 Songs (Memo2496) dataset, comprising 2496 instrumental musical pieces annotated with valence-arousal (VA) labels and acoustic features, is introduced to advance music emotion recognition and affective computing. The dataset is meticulously annotated by 30 music experts proficient in music theory and devoid of cognitive impairments, ensuring an unbiased perspective. The annotation methodology and experimental paradigm are grounded in previously validated studies, guaranteeing the integrity and high calibre of the data annotations.Memo2496 R1 updated by Qilin Li @12Feb20251. Remove some unannotated music raw data, now the music contained in MusicRawData.zip file are all <b>annotated</b> music.2. The ‘<b>Music Raw Data</b><b>.zip</b>’ file on <b>FigShare</b> has been updated to contain 2496 songs, consistent with the corpus described in the manuscript. The metadata fields on “Title”, “Contributing Artists”, “Genre”, and/or “Album” have been removed to ensure the songs remain anonymous.3. Adjusted the file structure, now the files on <b>FigShare</b> are placed in folders named ‘<b>Music Raw Data’</b>, ‘<b>Annotations</b>’, <b>‘Features</b>’, and ‘<b>Data Processing Utilities</b>’ to reflect the format of the Data Records section in the manuscript.Memo2496 R2 updated by Qilin Li @14Feb2025The source of each song's<b> download platform</b> has been added in ‘<b>songs_info_all.csv</b>’ to enable users to search within the platform itself if necessary. This approach aims to balance the privacy requirements of the data with the potential needs of the dataset's users.Memo2496 R3 updated by Qilin Li @17Dec2025<b>A pre-print paper of Memo2496 can be accessed via:</b>@misc{li2025memo2496expertannotateddatasetdualview,title={Memo2496: Expert-Annotated Dataset and Dual-View Adaptive Framework for Music Emotion Recognition}, author={Qilin Li and C. L. Philip Chen and Tong Zhang},year={2025},eprint={2512.13998}, archivePrefix={arXiv},primaryClass={cs.SD},url={https://arxiv.org/abs/2512.13998}, }
DOI: 10.6084/m9.figshare.25827034.v5
title: <b>M</b>usic <b>Emo</b>tion Dataset with <b>2496</b> Songs for Music Emotion Recognition (<b>Memo2496)</b>

description: Music emotion recognition delineates and categorises the spectrum of emotions expressed within musical compositions by conducting a comprehensive analysis of fundamental attributes, including melody, rhythm, and timbre. This task is pivotal for the tailoring of music recommendations, the enhancement of music production, the facilitation of psychotherapeutic interventions, and the execution of market analyses, among other applications. The cornerstone is the establishment of a music emotion recognition dataset annotated with reliable emotional labels, furnishing machine learning algorithms with essential training and validation tools, thereby underpinning the precision and dependability of emotion detection. The Music Emotion Dataset with 2496 Songs (Memo2496) dataset, comprising 2496 instrumental musical pieces annotated with valence-arousal (VA) labels and acoustic features, is introduced to advance music emotion recognition and affective computing. The dataset is meticulously annotated by 30 music experts proficient in music theory and devoid of cognitive impairments, ensuring an unbiased perspective. The annotation methodology and experimental paradigm are grounded in previously validated studies, guaranteeing the integrity and high calibre of the data annotations.Memo2496 R1 updated by Qilin Li @12Feb20251. Remove some unannotated music raw data, now the music contained in MusicRawData.zip file are all <b>annotated</b> music.2. The ‘<b>Music Raw Data</b><b>.zip</b>’ file on <b>FigShare</b> has been updated to contain 2496 songs, consistent with the corpus described in the manuscript. The metadata fields on “Title”, “Contributing Artists”, “Genre”, and/or “Album” have been removed to ensure the songs remain anonymous.3. Adjusted the file structure, now the files on <b>FigShare</b> are placed in folders named ‘<b>Music Raw Data’</b>, ‘<b>Annotations</b>’, <b>‘Features</b>’, and ‘<b>Data Processing Utilities</b>’ to reflect the format of the Data Records section in the manuscript.Memo2496 R2 updated by Qilin Li @14Feb2025The source of each song's<b> download platform</b> has been added in ‘<b>songs_info_all.csv</b>’ to enable users to search within the platform itself if necessary. This approach aims to balance the privacy requirements of the data with the potential needs of the dataset's users.Memo2496 R3 updated by Qilin Li @17Dec2025<b>A pre-print paper of Memo2496 can be accessed via:</b>@misc{li2025memo2496expertannotateddatasetdualview,title={Memo2496: Expert-Annotated Dataset and Dual-View Adaptive Framework for Music Emotion Recognition}, author={Qilin Li and C. L. Philip Chen and Tong Zhang},year={2025},eprint={2512.13998}, archivePrefix={arXiv},primaryClass={cs.SD},url={https://arxiv.org/abs/2512.13998}, }
DOI: 10.6084/m9.figshare.25827034.v4
title: <b>M</b>usic <b>Emo</b>tion Dataset with <b>2496</b> Songs for Music Emotion Recognition (<b>Memo2496)</b>

description: Music emotion recognition delineates and categorises the spectrum of emotions expressed within musical compositions by conducting a comprehensive analysis of fundamental attributes, including melody, rhythm, and timbre. This task is pivotal for the tailoring of music recommendations, the enhancement of music production, the facilitation of psychotherapeutic interventions, and the execution of market analyses, among other applications. The cornerstone is the establishment of a music emotion recognition dataset annotated with reliable emotional labels, furnishing machine learning algorithms with essential training and validation tools, thereby underpinning the precision and dependability of emotion detection. The Music Emotion Dataset with 2496 Songs (Memo2496) dataset, comprising 2496 instrumental musical pieces annotated with valence-arousal (VA) labels and acoustic features, is introduced to advance music emotion recognition and affective computing. The dataset is meticulously annotated by 30 music experts proficient in music theory and devoid of cognitive impairments, ensuring an unbiased perspective. The annotation methodology and experimental paradigm are grounded in previously validated studies, guaranteeing the integrity and high calibre of the data annotations.Memo2496 R1 updated by Qilin Li @12Feb20251. Remove some unannotated music raw data, now the music contained in MusicRawData.zip file are all <b>annotated</b> music.2. The ‘<b>Music Raw Data</b><b>.zip</b>’ file on <b>FigShare</b> has been updated to contain 2496 songs, consistent with the corpus described in the manuscript. The metadata fields on “Title”, “Contributing Artists”, “Genre”, and/or “Album” have been removed to ensure the songs remain anonymous.3. Adjusted the file structure, now the files on <b>FigShare</b> are placed in folders named ‘<b>Music Raw Data’</b>, ‘<b>Annotations</b>’, <b>‘Features</b>’, and ‘<b>Data Processing Utilities</b>’ to reflect the format of the Data Records section in the manuscript.Memo2496 R2 updated by Qilin Li @14Feb2025The source of each song's<b> download platform</b> has been added in ‘<b>songs_info_all.csv</b>’ to enable users to search within the platform itself if necessary. This approach aims to balance the privacy requirements of the data with the potential needs of the dataset's users.
DOI: 10.6084/m9.figshare.30900161
title: Source data for paper <i>Compute-in-Memory Implementation of State Space Models for Event Sequence Processing</i>

description: This file contains source data for the paper <i>Compute-in-Memory Implementation of State Space Models for Event Sequence Processing</i>
DOI: 10.6084/m9.figshare.30900161.v1
title: Source data for paper <i>Compute-in-Memory Implementation of State Space Models for Event Sequence Processing</i>

description: This file contains source data for the paper <i>Compute-in-Memory Implementation of State Space Models for Event Sequence Processing</i>
DOI: 10.7910/dvn/lcy463
title: PDB: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (312K, 39°C, 500 ns): random seed #1

description: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (312K, 39°C, 500 ns): random seed #1. PDBs obtained every 50 ns.
DOI: 10.34740/kaggle/dsv/14188848
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17026/dans-z7c-9m3p
title: PAN-00116085 - terra sigillata plate type Drag. 32

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00116085&lt;/p&gt;
description: Modified: 2025-09-17T17:47:32+02:00
DOI: 10.25910/ef80-5058
title: Freshwater-induced coral bleaching following extreme rainfall in Pioneer Bay, Orpheus Island, Great Barrier Reef
DOI: 10.17026/dans-25f-3hwh
title: PAN-00120473 - terra sigillata cup type Drag. 27

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00120473&lt;/p&gt;
description: Modified: 2025-05-09T18:07:34+02:00
DOI: 10.15468/dl.msuhwb
title: Occurrence Download

description: A dataset containing 146106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -25.914722",
 "DecimalLatitude is less than or equal to -20.914722",
 "DecimalLongitude is greater than or equal to 165.0",
 "DecimalLongitude is less than or equal to 170.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 146106 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055677-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/nwauor
title: PDB: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (311K, 38°C, 500 ns): random seed #1

description: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (311K, 38°C, 500 ns): random seed #1. PDBs obtained every 50 ns.
DOI: 10.17026/ar/pgabbn
title: PAN-00175703 - coarse ware pot with handle type Hofh. 89

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175703&lt;/p&gt;
description: Modified: 2025-11-11T12:53:56+01:00
DOI: 10.7910/dvn/xrrqsh
title: PDB: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) (310K, 37°C, 500 ns): random seed #1

description: 6BFS, Crystal structure of Granulocyte-macrophage colony-stimulating factor (GM-CSF) 310K, 37°C, 500 ns): random seed #1. PDBs obtained every 50 ns.
DOI: 10.17026/ar/gqkzqp
title: PAN-00180989 - one-ribbed La Tène bracelet variant H3b

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180989&lt;/p&gt;
description: Modified: 2025-10-15T09:56:00+02:00
DOI: 10.7910/dvn/ccnim0
title: PDB: 3G04, Crystal structure of TSH receptor in complex with human mAb autoantibody M22 (312K, 39°C, 200 ns): random seed #2

description: 3G04, Crystal structure of TSH receptor in complex with human mAb autoantibody M22 (312K, 39°C, 200 ns): random seed #2. Contains PDBs obtained every 50 ns and free binding energy calculations.
DOI: 10.6084/m9.figshare.30312253
title: S1.xlsx

description: Supplementary file containing metadata for assemblies used to curate KoSC O locus database, as well as Kaptive outputs
DOI: 10.6084/m9.figshare.30312253.v1
title: S1.xlsx

description: Supplementary file containing metadata for assemblies used to curate KoSC O locus database, as well as Kaptive outputs
DOI: 10.6084/m9.figshare.30312253.v2
title: S1.xlsx

description: Supplementary file containing metadata for assemblies used to curate KoSC O locus database, as well as Kaptive outputs
DOI: 10.17026/ar/0ibc1g
title: PAN-00095924 - stone axe

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00095924&lt;/p&gt;
description: Modified: 2025-07-04T15:04:24+02:00
DOI: 10.15468/dl.f9nbjs
title: Occurrence Download

description: A dataset containing 483424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres javanicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 483424 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055676-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-z4g-j33h
title: PAN-00120915 - terra sigillata cup type Drag. 24-25 / Consp. 33-34

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00120915&lt;/p&gt;
description: Modified: 2025-05-09T10:47:17+02:00
DOI: 10.6084/m9.figshare.30879659
title: Data on non-suicidal self-injury among adolescents

description: The present dataset includes data on impulsivity, distress tolerance, parenting style and non-suicidal self-injurious behaviour of non-suicidal self-injurious adolescents collected in the psychological department of a tertiary hospital in Guiyang and in schools, all of which were ethically approved and all subjects signed an informed consent. The collection period was from November 2022 to December 2023.
DOI: 10.6084/m9.figshare.30879659.v1
title: Data on non-suicidal self-injury among adolescents

description: The present dataset includes data on impulsivity, distress tolerance, parenting style and non-suicidal self-injurious behaviour of non-suicidal self-injurious adolescents collected in the psychological department of a tertiary hospital in Guiyang and in schools, all of which were ethically approved and all subjects signed an informed consent. The collection period was from November 2022 to December 2023.