cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1096024.10fu
title: SH1096024.10FU

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/sh1096026.10fu
title: SH1096026.10FU

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/sh1096027.10fu
title: SH1096027.10FU

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/sh1096028.10fu
title: SH1096028.10FU

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/sh1096031.10fu
title: SH1096031.10FU

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/sh1096034.10fu
title: SH1096034.10FU

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/sh1096036.10fu
title: SH1096036.10FU

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/sh1096038.10fu
title: SH1096038.10FU

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/sh1096040.10fu
title: SH1096040.10FU

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.bxqeab
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudoraphis brunoniana (Griff.) Pilg."
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012457-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77t3st
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "TaxonKey is Microtus arvalis (Pallas, 1779)"
 ]
}

 The dataset includes 279 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008437-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hngfzn
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Herbario de la Facultad de Ciencias Biológicas de la Universidad Complutense de Madrid (MACB), CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA))",
 "GadmGid is ESP.4.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Narcissus L."
 ]
}

 The dataset includes 82 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008439-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15018214
title: Ceasefire Hierarchical Firearm Dataset

description: As part of the European Ceasefire project, we had the opportunity to access the weapons collection of the SNPS police forensics laboratory in Toulouse. We established a video acquisition protocol designed to capture firearms from a wide range of angles and applied it to record 45 firearms. Frames were then extracted from these videos to obtain numerous images from multiple viewpoints for each firearm model.

In this version, we are publishing only 45 firearm models, organized into training and validation sets. This subset consists exclusively of images captured at the Toulouse Forensics Laboratory (France) and does not include any images from external or web-based sources. To access the full dataset covering all 260 firearm models, researchers must combine this version with the Firearms 14K dataset : 'https://github.com/jdhao/deep_firearm'
DOI: 10.5281/zenodo.10599412
title: Ceasefire Hierarchical Firearm Dataset

description: As part of the European Ceasefire project, we had the opportunity to access the weapons collection of the SNPS police forensics laboratory in Toulouse. We established a video acquisition protocol designed to capture firearms from a wide range of angles and applied it to record 45 firearms. Frames were then extracted from these videos to obtain numerous images from multiple viewpoints for each firearm model.

In this version, we are publishing only 45 firearm models, organized into training and validation sets. This subset consists exclusively of images captured at the Toulouse Forensics Laboratory (France) and does not include any images from external or web-based sources. To access the full dataset covering all 260 firearm models, researchers must combine this version with the Firearms 14K dataset : 'https://github.com/jdhao/deep_firearm'
DOI: 10.5281/zenodo.10890065
title: Figure data for article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity"

description: The files contain the data depicted in the figures of the article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity", Phys. Rev. Lett. 134, 073604 (2025)

The format of the data and to which figure it corresponds is described in the file "read_me_metadata.txt".
DOI: 10.5281/zenodo.10890066
title: Figure data for article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity"

description: The files contain the data depicted in the figures of the article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity", Phys. Rev. Lett. 134, 073604 (2025)

The format of the data and to which figure it corresponds is described in the file "read_me_metadata.txt".
DOI: 10.5281/zenodo.15000078
title: The autoactivity of tomato helper NLR immune proteins of the NRC clade is unaltered in prf mutants of Nicotiana benthamiana

description: Supplementary Dataset 1: Phylogenetic analyses of the Prf clade

Supplementary Dataset 2: CRISPR/Cas9 vector maps

Supplementary Dataset 3: Amplicon sequencing raw reads

Supplementary Dataset 4: Cell death quantification images and data

Supplementary Dataset 5: AlphaFold3 generated PDB files of NbPrfa and NbPrfb
description: Supplemmentary Datsets for "The autoactivity of tomato helper NLR immune proteins of the NRC clade is unaltered in prf mutants of Nicotiana benthamiana"
DOI: 10.5281/zenodo.13998654
title: Why is BeGeN2 different? A computational bonding analysis
DOI: 10.5281/zenodo.13998655
title: Why is BeGeN2 different? A computational bonding analysis
DOI: 10.5281/zenodo.14993065
title: Simulation files and data
DOI: 10.5281/zenodo.14993066
title: Simulation files and data
DOI: 10.5281/zenodo.15024047
title: SingleBeam Measurements/May 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15024048
title: SingleBeam Measurements/May 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15024083
title: SingleBeam Measurements/June 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15024084
title: SingleBeam Measurements/June 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15024033
title: Project TIN CANN - subsetByCluster-groupByTreatment

description: # 10. Marker genes subset by cluster, grouped by treatment

- Investigates DA marker genes by first subsetting all cells by cell clusters, then grouped by treatment.
DOI: 10.5281/zenodo.15024034
title: Project TIN CANN - subsetByCluster-groupByTreatment

description: # 10. Marker genes subset by cluster, grouped by treatment

- Investigates DA marker genes by first subsetting all cells by cell clusters, then grouped by treatment.
DOI: 10.5281/zenodo.15024049
title: 20250313_capsici_pyraclostrobin_proteomics
DOI: 10.5281/zenodo.15024050
title: 20250313_capsici_pyraclostrobin_proteomics
DOI: 10.5281/zenodo.15024110
title: SingleBeam Measurements/July 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15024111
title: SingleBeam Measurements/July 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15023864
title: Dataset for article "Unveiling Openness in Energy Research: A Bibliometric Analysis Focusing on Open Access and Data Sharing Practices"

description: This dataset was used as a data corpus for a bibliometric analysis with the title "Unveiling Openness in Energy Research: A Bibliometric Analysis Focusing on Open Access and Data Sharing Practices". 

The CSV file (2024-12-06_OpenAlex_API_download_works_Energy_Germany_(2013-2023)) was collected on December 6th, 2024, by using the OpenAlex API and search criteria: OpenAlex field "Energy", continent “Europe”, country “Germany”, and publication years 2013 – 2023. Based on this file, two sample files were extracted - one by subfield (2024-12-06_OpenAlex_API_dwonload_works_Energy_Germany_(2013-2023)_sampled_by_subfield) and another by year group (2024-12-06_OpenAlex_API_download_works_Energy_Germany_(2013-2023)_sampled_by_year_group).  

This dataset was collected and used to answer the following research questions: 

-        What percentage of energy research publications are OA? How do the types (gold, green, etc.) of these publications differ?

-        Are there notable differences in OA and data sharing practices in different subfields of energy research? 

-        How commonly are datasets for energy studies shared? What are the primary repositories used? 

-        What kind of data sharing or publication practices are widespread? How has this evolved over the last decade?
DOI: 10.5281/zenodo.15023909
title: Dataset of https://doi.org/10.1002/smtd.202400855
DOI: 10.5281/zenodo.15023910
title: Dataset of https://doi.org/10.1002/smtd.202400855
DOI: 10.5281/zenodo.15024127
title: SingleBeam Measurements/September 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.5281/zenodo.15024128
title: SingleBeam Measurements/September 2024

description: Bathymetrical measurements in Razelm Sinoe Lagoon
DOI: 10.34810/data62/109
title: 2ndLevelBatchA.mat
DOI: 10.34810/data62/188
title: 2ndLevelBatchB (2).mat
DOI: 10.34810/data62/29
title: 2ndLevelBatchB.mat
DOI: 10.34810/data62/58
title: 2ndLevelA (2).mat
DOI: 10.34810/data62/87
title: 2ndLevelA.mat
DOI: 10.34810/data62/91
title: 2ndLevelBatchA (2).mat
DOI: 10.34810/data62/10
title: beta_0001.img
DOI: 10.34810/data62/101
title: beta_0001.img
DOI: 10.34810/data62/103
title: beta_0001.hdr
DOI: 10.34810/data62/105
title: beta_0001 (2).img
DOI: 10.34810/data62/107
title: 2ndLevelBatchC.mat
DOI: 10.34810/data62/113
title: beta_0001.hdr
DOI: 10.34810/data62/114
title: activacionesSections.jpg
DOI: 10.34810/data62/115
title: beta_0001.img
DOI: 10.34810/data62/12
title: activaciones (2).jpg
DOI: 10.34810/data62/121
title: con_0001 (2).hdr
DOI: 10.34810/data62/123
title: 2ndLevelBatchD (2).mat
DOI: 10.34810/data62/125
title: activacionesSections.jpg
DOI: 10.34810/data62/128
title: activaciones.jpg
DOI: 10.34810/data62/129
title: con_0001 (2).img
DOI: 10.34810/data62/130
title: beta_0001 (2).hdr
DOI: 10.34810/data62/131
title: activaciones (2).jpg
DOI: 10.34810/data62/133
title: activaciones.jpg
DOI: 10.34810/data62/138
title: beta_0001 (2).hdr
DOI: 10.34810/data62/139
title: beta_0001 (2).img
DOI: 10.34810/data62/142
title: activacionesSections.jpg
DOI: 10.34810/data62/143
title: 2ndLevelBatchC.mat
DOI: 10.34810/data62/145
title: activaciones (2).jpg
DOI: 10.34810/data62/151
title: beta_0001.hdr
DOI: 10.34810/data62/154
title: 2ndLevelBatchB.mat
DOI: 10.34810/data62/155
title: con_0001 (2).hdr
DOI: 10.34810/data62/156
title: activacionesSections.jpg
DOI: 10.34810/data62/159
title: con_0001.hdr
DOI: 10.34810/data62/16
title: con_0001.hdr
DOI: 10.34810/data62/169
title: beta_0001 (2).hdr
DOI: 10.34810/data62/17
title: con_0001 (2).hdr
DOI: 10.34810/data62/170
title: activacionesSections.jpg
DOI: 10.34810/data62/172
title: beta_0001 (2).img
DOI: 10.34810/data62/175
title: beta_0001.hdr
DOI: 10.34810/data62/176
title: activacionesSections (2).jpg
DOI: 10.34810/data62/181
title: activaciones.jpg
DOI: 10.34810/data62/184
title: activaciones.jpg
DOI: 10.34810/data62/19
title: beta_0001.hdr
DOI: 10.34810/data62/194
title: con_0001 (2).img
DOI: 10.34810/data62/198
title: activacionesSections.jpg
DOI: 10.34810/data62/200
title: activacionesSections.jpg
DOI: 10.34810/data62/205
title: 2ndLevelBatchC (2).mat
DOI: 10.34810/data62/208
title: activacionesSections.jpg
DOI: 10.34810/data62/214
title: activacionesSections (2).jpg
DOI: 10.34810/data62/217
title: beta_0001.hdr
DOI: 10.34810/data62/218
title: beta_0001.hdr
DOI: 10.34810/data62/223
title: con_0001 (2).img
DOI: 10.34810/data62/224
title: activacionesSections (2).jpg
DOI: 10.34810/data62/225
title: activacionesSections (2).jpg
DOI: 10.34810/data62/226
title: con_0001 (2).hdr
DOI: 10.34810/data62/232
title: activaciones (2).jpg
DOI: 10.34810/data62/238
title: beta_0001 (2).img
DOI: 10.34810/data62/239
title: beta_0001 (2).img
DOI: 10.34810/data62/24
title: beta_0001 (2).hdr
DOI: 10.34810/data62/240
title: con_0001 (2).img
DOI: 10.34810/data62/241
title: activaciones (2).jpg
DOI: 10.34810/data62/244
title: activaciones (2).jpg
DOI: 10.34810/data62/245
title: activaciones.jpg
DOI: 10.34810/data62/246
title: 2ndLevelBatchC (2).mat
DOI: 10.34810/data62/249
title: beta_0001 (2).img
DOI: 10.34810/data62/252
title: beta_0001.hdr
DOI: 10.34810/data62/253
title: 2ndLevelBatchD.mat
DOI: 10.34810/data62/264
title: activacionesSections (2).jpg
DOI: 10.34810/data62/266
title: activacionesSections (2).jpg
DOI: 10.34810/data62/276
title: activaciones (2).jpg
DOI: 10.34810/data62/278
title: activacionesSections (2).jpg
DOI: 10.34810/data62/28
title: con_0001 (2).img
DOI: 10.34810/data62/30
title: activaciones.jpg
DOI: 10.34810/data62/38
title: con_0001.hdr
DOI: 10.34810/data62/4
title: con_0001 (2).hdr
DOI: 10.34810/data62/41
title: beta_0001 (2).hdr
DOI: 10.34810/data62/42
title: activaciones.jpg
DOI: 10.34810/data62/46
title: activaciones.jpg
DOI: 10.34810/data62/48
title: beta_0001 (2).hdr
DOI: 10.34810/data62/49
title: beta_0001 (2).hdr
DOI: 10.34810/data62/56
title: beta_0001 (2).hdr
DOI: 10.34810/data62/59
title: 2ndLevelBatchB (2).mat
DOI: 10.34810/data62/76
title: activacionesSections (2).jpg
DOI: 10.34810/data62/77
title: activaciones (2).jpg
DOI: 10.34810/data62/79
title: con_0001 (2).img
DOI: 10.34810/data62/83
title: beta_0001 (2).img
DOI: 10.34810/data62/86
title: 2ndLevelBatchD (2).mat
DOI: 10.34810/data62/88
title: beta_0001 (2).img
DOI: 10.34810/data62/97
title: beta_0001.img
DOI: 10.34810/data62/98
title: 2ndLevelBatchD.mat
DOI: 10.34810/data62/1
title: mask (2).hdr
DOI: 10.34810/data62/11
title: mask (2).hdr
DOI: 10.34810/data62/110
title: con_0001.hdr
DOI: 10.34810/data62/112
title: hessiana.jpg
DOI: 10.34810/data62/127
title: mask.hdr
DOI: 10.34810/data62/13
title: hessiana.jpg
DOI: 10.34810/data62/132
title: con_0001 (2).img