cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1069800.10fu
title: SH1069800.10FU

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/sh1069804.10fu
title: SH1069804.10FU

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/sh1069805.10fu
title: SH1069805.10FU

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/sh1069813.10fu
title: SH1069813.10FU

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/sh1069815.10fu
title: SH1069815.10FU

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/sh1069818.10fu
title: SH1069818.10FU

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/sh1069823.10fu
title: SH1069823.10FU

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: 10.5281/zenodo.15713880
title: cpupdb

description: CpuPDB (Conformational Pocket-Universe PDB) is a comprehensive database that integrates static structures, molecular dynamics simulations, and deep learning models to explore protein-ligand binding pockets across multiple conformational states.This project shares molecular dynamics (MD) trajectory data from CpuPDB, featuring 20-nanosecond simulations (200 frames per complex) for each protein-ligand complex.
DOI: 10.5281/zenodo.15713879
title: cpupdb

description: CpuPDB (Conformational Pocket-Universe PDB) is a comprehensive database that integrates static structures, molecular dynamics simulations, and deep learning models to explore protein-ligand binding pockets across multiple conformational states.This project shares molecular dynamics (MD) trajectory data from CpuPDB, featuring 20-nanosecond simulations (200 frames per complex) for each protein-ligand complex.
DOI: 10.15468/dl.9grmqd
title: Occurrence Download

description: A dataset containing 96552 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 Hedydipna collaris (Vieillot, 1819)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 96552 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073064-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.227bn1x0
title: Prepositions in the LOB Corpus (British English)

description: This data table lists the prepositions (simple and complex) found in the LOB corpus (British English). The data table was compiled as part of my "Sociolinguistics and Corpus Linguistics" course (Paris 8 University, Fall Semester, 2017)
DOI: 10.15468/dl.tvqngt
title: Occurrence Download

description: A dataset containing 2944 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 Hedydipna metallica (Lichtenstein, 1823)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2944 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073078-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2psrgf
title: Occurrence Download

description: A dataset containing 1047 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 Hedydipna pallidigaster (W.L.Sclater & Moreau, 1935)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1047 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073081-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29429717
title: Collision avoidance simulation in urgent situations

description: In the simulation experiments, multiple typical target ship behavior patterns are designed to simulate unpredictable scenarios. Under identical constraint conditions, the proposed DTOA algorithm, APF algorithm, and VO algorithm are respectively applied for collision avoidance planning.
DOI: 10.6084/m9.figshare.29429717.v1
title: Collision avoidance simulation in urgent situations

description: In the simulation experiments, multiple typical target ship behavior patterns are designed to simulate unpredictable scenarios. Under identical constraint conditions, the proposed DTOA algorithm, APF algorithm, and VO algorithm are respectively applied for collision avoidance planning.
DOI: 10.5281/zenodo.15760365
title: Metabolite-mediated trophic interactions: Long-term responses of Thalassiosira weissflogii to high CO₂ and warming have cascading effects on consumer metabolism

description: Overview

This dataset contains measurements of metabolite contents and physiological parameters of the marine diatom Thalassiosira weissflogii and associated feeding experiments on clams. The dataset was generated as part of a study examining the effects of high CO2, warming, and their combination on T. weissflogii and downstream impacts on clams.

 

Files Included

File #1: Tw-meta_intensity_all_noknn.xls

Description: Absolute contents of 164 metabolites in T. weissflogii under four experimental conditions.

Columns:

Compound_ID: Unique identifier for each metabolite.

Name: Common name of the metabolite.

Group: Classification of the metabolite (e.g., amino acids, fatty acids, organic acids).

HMDB: Human Metabolome Database annotation for the metabolite.

Control_1, Control_2, Control_3: Replicates for ambient condition.

CO2_1, CO2_2, CO2_3: Replicates for high CO2 condition.

Tem_1, Tem_2, Tem_3: Replicates for warming condition.

TC_1, TC_2, TC_3: Replicates for high CO2 + warming condition.

QC_1, QC_2: Quality control samples.

Units: nmol/g.

 

 

File #2: Clams-meta_intensity_all_noknn.xls

Description: Metabolite contents in clams after feeding on T. weissflogii cultured under four experimental conditions for three weeks.

Structure: Same as File #1.

Units: nmol/g.

 

 

File #3: Physiological responses of T. weissflogii.xlsx

Description: Physiological measurements of T. weissflogii under four experimental conditions. Contains three sheets:

Sheet 1: Particulate organic carbon (POC) content (pg/cell).

Sheet 2: Particulate nitrogen (PON) content (pg/cell).

Sheet 3: Specific growth rate (μ, d⁻¹).

Conditions:

LCLT: Ambient.

LCHT: Warming.

HCLT: High CO2.

HCHT: High CO2 + warming.

Units: POC and PON in pg/cell; growth rate in d⁻¹.

 

 

Relationships Between Files





File #1 and File #2: Provide complementary insights into the effects of environmental conditions on T. weissflogiimetabolites and subsequent effects on clams.




File #3: Contains physiological context for interpreting metabolic changes observed in File #1 and their potential impact on clams in File #2.



 

 

How to Use the Data

Refer to File #1 for metabolic profiling of T. weissflogii.

Use File #2 to explore the downstream impacts of T. weissflogii metabolites on clam metabolism.

Use File #3 for physiological measurements of T. weissflogii under different conditions to understand growth and nutrient dynamics.
DOI: 10.5281/zenodo.15746492
title: Metabolite-mediated trophic interactions: Long-term responses of Thalassiosira weissflogii to high CO₂ and warming have cascading effects on consumer metabolism

description: Overview

This dataset contains measurements of metabolite contents and physiological parameters of the marine diatom Thalassiosira weissflogii and associated feeding experiments on clams. The dataset was generated as part of a study examining the effects of high CO2, warming, and their combination on T. weissflogii and downstream impacts on clams.

 

Files Included

File #1: Tw-meta_intensity_all_noknn.xls

Description: Absolute contents of 164 metabolites in T. weissflogii under four experimental conditions.

Columns:

Compound_ID: Unique identifier for each metabolite.

Name: Common name of the metabolite.

Group: Classification of the metabolite (e.g., amino acids, fatty acids, organic acids).

HMDB: Human Metabolome Database annotation for the metabolite.

Control_1, Control_2, Control_3: Replicates for ambient condition.

CO2_1, CO2_2, CO2_3: Replicates for high CO2 condition.

Tem_1, Tem_2, Tem_3: Replicates for warming condition.

TC_1, TC_2, TC_3: Replicates for high CO2 + warming condition.

QC_1, QC_2: Quality control samples.

Units: nmol/g.

 

 

File #2: Clams-meta_intensity_all_noknn.xls

Description: Metabolite contents in clams after feeding on T. weissflogii cultured under four experimental conditions for three weeks.

Structure: Same as File #1.

Units: nmol/g.

 

 

File #3: Physiological responses of T. weissflogii.xlsx

Description: Physiological measurements of T. weissflogii under four experimental conditions. Contains three sheets:

Sheet 1: Particulate organic carbon (POC) content (pg/cell).

Sheet 2: Particulate nitrogen (PON) content (pg/cell).

Sheet 3: Specific growth rate (μ, d⁻¹).

Conditions:

LCLT: Ambient.

LCHT: Warming.

HCLT: High CO2.

HCHT: High CO2 + warming.

Units: POC and PON in pg/cell; growth rate in d⁻¹.

 

 

Relationships Between Files





File #1 and File #2: Provide complementary insights into the effects of environmental conditions on T. weissflogiimetabolites and subsequent effects on clams.




File #3: Contains physiological context for interpreting metabolic changes observed in File #1 and their potential impact on clams in File #2.



 

 

How to Use the Data

Refer to File #1 for metabolic profiling of T. weissflogii.

Use File #2 to explore the downstream impacts of T. weissflogii metabolites on clam metabolism.

Use File #3 for physiological measurements of T. weissflogii under different conditions to understand growth and nutrient dynamics.
DOI: 10.15468/dl.zkq68m
title: Occurrence Download

description: A dataset containing 6529 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 Hedydipna platura (Vieillot, 1819)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 6529 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073084-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqvhja
title: Occurrence Download

description: A dataset containing 935 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 Hemimacronyx chloris (Lichtenstein, 1842)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 935 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073087-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6eh6rt
title: Occurrence Download

description: A dataset containing 146674 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Entomología del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-E)"
 ]
}

 The dataset includes 146674 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073079-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14967658
title: Global Annual Land Surface Phenology (GALSP) product (1982-2018) version 020 (User Guide)

description: The User Guide of the GALSP phenology product. Datasets are available at https://zenodo.org/records/14967659

NOTE: If you have any data needs, questions, or technical issues, contact us at xinqinchuan@mail.sysu.edu.cn (Qinchuan Xin, 辛秦川) or wuw@gzu.edu.cn (Wei Wu, 吴伟).

Citation format of the paper:

Wei Wu, Ziming Li, Zhicheng Zhang, Chenxi Yan, Kun Xiao, Yidan Wang, Qinchuan Xin (2023). Developing global annual land surface phenology datasets (1982-2018) from the AVHRR data using multiple phenology retrieval methods, Ecological Indicators, 150, 110262.https://doi.org/10.1016/j.ecolind.2023.110262

Wei Wu, Ying Sun, Kun Xiao, Qinchuan Xin (2021). Development of a global annual land surface phenology dataset for 1982-2018 from the AVHRR data by implementing multiple phenology retrieving methods. International Journal of Applied Earth Observations and Geoinformation, 103, 102487.https://doi.org/10.1016/j.jag.2021.102487
DOI: 10.5281/zenodo.15076791
title: Global Annual Land Surface Phenology (GALSP) product (1982-2018) version 020 (User Guide)

description: The User Guide of the GALSP phenology product. Datasets are available at https://zenodo.org/records/14967659

NOTE: If you have any data needs, questions, or technical issues, contact us at xinqinchuan@mail.sysu.edu.cn (Qinchuan Xin, 辛秦川) or wuw@gzu.edu.cn (Wei Wu, 吴伟).

Citation format of the paper:

Wei Wu, Ziming Li, Zhicheng Zhang, Chenxi Yan, Kun Xiao, Yidan Wang, Qinchuan Xin (2023). Developing global annual land surface phenology datasets (1982-2018) from the AVHRR data using multiple phenology retrieval methods, Ecological Indicators, 150, 110262.https://doi.org/10.1016/j.ecolind.2023.110262

Wei Wu, Ying Sun, Kun Xiao, Qinchuan Xin (2021). Development of a global annual land surface phenology dataset for 1982-2018 from the AVHRR data by implementing multiple phenology retrieving methods. International Journal of Applied Earth Observations and Geoinformation, 103, 102487.https://doi.org/10.1016/j.jag.2021.102487
DOI: 10.15468/dl.rmq7zm
title: Occurrence Download

description: A dataset containing 740 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 Hemitesia neumanni (Rothschild, 1908)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 740 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073090-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.22b3rybj
title: Version annotée de la vidéo militante Unnecessary Fuss

description: Au printemps 1984, des militants de la cause animale se rendent à l’école de médecine de l’université de Pennsylvanie et pénètrent par effraction dans un laboratoire. Ils ont entendu parler d’expérimentations menées sur des babouins par une équipe de recherche spécialisée dans les traumatismes crâniens. Durant cette opération, ils dérobent 60h d’enregistrements vidéo tournés par les chercheurs pour documenter leurs travaux. Ils en retireront une vidéo documentaire de 26 minutes (Unnecessary Fuss) qui sera largement diffusée à des fins de dénonciation. Cet événement inaugurera l’utilisation de la vidéo au sein des organisations animalistes. En France, l’association L214 se fera précisément connaître pour son action dans les abattoirs et les élevages (Bourgatte, 2021). Une controverse sémiologique habite cependant ce processus vidéomilitant : elle concerne le montage vidéo, de nombreux détracteurs indiquant que ces images ne rendent pas compte de la réalité des pratiques. À partir de l’analyse d’Unnecessary Fuss à l’aide de la plateforme d’annotation Celluloid, je voudrais montrer comment on peut analyser et documenter une vidéo pour ensuite entrer dans une phase d’écriture d’article ou de livre (https://canevas.hypotheses.org/596).