cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ud2gfz
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sempervivum montanum L.",
 "Year 1990-2025"
 ]
}

 The dataset includes 301 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003528-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b5e27
title: Occurrence Download

description: A dataset containing 2251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2251 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003529-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxp6rb
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "DatasetKey is Observations faune et flore du Parc national des Écrins",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sempervivum montanum L.",
 "Year 1990-2025"
 ]
}

 The dataset includes 324 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003530-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15009107
title: costus_plowmanii_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15009108
title: costus_plowmanii_zanfona_1.fasta.gz
DOI: 10.34740/kaggle/dsv/10998937
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.a6upk7
title: Occurrence Download

description: A dataset containing 586755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anax junius (Drury, 1773), Apis mellifera Linnaeus, 1758, Aquilegia coerulea James, Argia vivida Hagen, 1865, Ariolimax columbianus (A.Gould, 1851), Boletus edulis Bull., Bouteloua gracilis (Kunth) Lag. ex Griffiths, Calochortus nuttallii Torr., Cantharellus californicus D.Arora & Dunham, Cantharellus formosus Corner, Carnegiea gigantea (Engelm.) Britton & Rose, Castilleja linariifolia Benth., Echinocereus triglochidiatus Engelm., Eriocoma hymenoides (Roem. & Schult.) Rydb., Eschscholzia californica Cham., Lewisia rediviva Pursh, Libellula quadrimaculata Linnaeus, 1758, Mahonia aquifolium (Pursh) Nutt., Myosotis alpestris F.W.Schmidt, Nassella pulchra (Hitchc.) Barkworth, Papilio multicaudata Kirby, 1884, Elymus smithii (Rydb.) Gould, Pepsis thisbe Lucas, 1895, Philadelphus lewisii Pursh, Pseudoroegneria spicata (Pursh) Á.Löve, Yucca glauca Nutt.)",
 "Country is one of (United States of America, Canada, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 586755 records from 548 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003524-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c8dq4
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.21318 37.99785,26.95289 37.99785,26.95289 38.72808,26.21318 38.72808,26.21318 37.99785))",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 181 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003531-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m3cqc
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Dynastes hercules (Linnaeus, 1758)"
 ]
}

 The dataset includes 147 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003533-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rm684
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.07005 2.22097,-76.1685 2.22097,-76.1685 2.64414,-77.07005 2.64414,-77.07005 2.22097))",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus humboldtii Bonpl."
 ]
}

 The dataset includes 41 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003532-250310093411724/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.25822840
title: Merged EXPORTS NA UVP data paperData.zip

description: This EXPORTS North Atlantic UVP dataset is in matlab and netcdf formats. It is associated with Dynamics of Aggregates and Sinking Carbon Fluxes in a Turbulent Ocean, https://doi.org/10.31223/X58709Data consists of particle size distribution (psd) profiles from the three ship that were intercalibrated and merged, ordered by time. The profiles were standardized to 500m (padded with NaNs if the maximum depth was less than 500m and truncated if deeper than 500m).The psd relative uncertainty and the biovolume are also included. Each cast has associated location (time, lat, lon) and info to specify the ship, cast number, and distance to the estimated eddy center (r2ec).The folder “examples” contains matlab scripts demonstrating some data usage.<br><br>
DOI: 10.5281/zenodo.15001249
title: AURORA-MESS: Annotated Uncertainty and Reference in Open Research Articles for Multidisciplinary and Empirical Social Science

description: The AURORA-MESS dataset offers valuable insights into the representation of uncertainty in scientific literature across various domains, along with associated authorial references. Researchers and practitioners can use this dataset to study and analyze the variations of uncertainty expressions in scholarly discourse.

This dataset contains sentences extracted from articles in a wide range of fields, covering both Science, Technology, and Medicine (STM); and Social Sciences and Humanities (SSH) and annotated with respect to uncertainty in science. The dataset is derived from PubMed, Scopus, Web of Science (WoS) and Social Science Open Access Repository (SSOAR). It has been produced as part of the ANR InSciM (Modelling Uncertainty in Science) project. For a more comprehensive understanding of the construction of the dataset, including the selection of journals, sampling procedure, and the annotation methodology, see Ningrum and Atanassova (2024); and Ningrum, Mayr, and Atanassova (2023).

The dataset is provided in CSV format. The columns in the table are as follows:



sentence_id: A unique internal identifier for each sentence.

journal_name: The name of the journal in which the article was published.

article_title: The title of the article from which the sentence was extracted.

publication_year: The year the article was published.

document_id: The URL where the article is published.

sentence: The text of the sentence.

uncertainty: 'Y' if the sentence expresses uncertainty, and 'N' otherwise.

reference: This column contains three classes:



'1' indicates uncertainty arising directly from the authors’ statements.

'2' represents uncertainty attributed to prior research, where the authors cite past studies to introduce uncertainty.

'3' includes instances where the author(s) express shared uncertainty, drawing on both their findings or arguments and previous research.




Reference

Ningrum, P. K., & Atanassova, I. (2024). Annotation of scientific uncertainty using linguistic patterns. Scientometrics, 1-25. https://doi.org/10.1007/s11192-024-05009-z

Ningrum, P. K., Mayr, P., & Atanassova, I. (2023). UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text. arXiv [Cs.CL]. Retrieved from http://arxiv.org/abs/2307.14236

Acknowledgment

We would like to acknowledge GESIS - Leibniz Institute for the Social Sciences for providing access to SSOAR, which has been instrumental in supporting the creation of the dataset.
DOI: 10.5281/zenodo.15001250
title: AURORA-MESS: Annotated Uncertainty and Reference in Open Research Articles for Multidisciplinary and Empirical Social Science

description: The AURORA-MESS dataset offers valuable insights into the representation of uncertainty in scientific literature across various domains, along with associated authorial references. Researchers and practitioners can use this dataset to study and analyze the variations of uncertainty expressions in scholarly discourse.

This dataset contains sentences extracted from articles in a wide range of fields, covering both Science, Technology, and Medicine (STM); and Social Sciences and Humanities (SSH) and annotated with respect to uncertainty in science. The dataset is derived from PubMed, Scopus, Web of Science (WoS) and Social Science Open Access Repository (SSOAR). It has been produced as part of the ANR InSciM (Modelling Uncertainty in Science) project. For a more comprehensive understanding of the construction of the dataset, including the selection of journals, sampling procedure, and the annotation methodology, see Ningrum and Atanassova (2024); and Ningrum, Mayr, and Atanassova (2023).

The dataset is provided in CSV format. The columns in the table are as follows:



sentence_id: A unique internal identifier for each sentence.

journal_name: The name of the journal in which the article was published.

article_title: The title of the article from which the sentence was extracted.

publication_year: The year the article was published.

document_id: The URL where the article is published.

sentence: The text of the sentence.

uncertainty: 'Y' if the sentence expresses uncertainty, and 'N' otherwise.

reference: This column contains three classes:



'1' indicates uncertainty arising directly from the authors’ statements.

'2' represents uncertainty attributed to prior research, where the authors cite past studies to introduce uncertainty.

'3' includes instances where the author(s) express shared uncertainty, drawing on both their findings or arguments and previous research.




Reference

Ningrum, P. K., & Atanassova, I. (2024). Annotation of scientific uncertainty using linguistic patterns. Scientometrics, 1-25. https://doi.org/10.1007/s11192-024-05009-z

Ningrum, P. K., Mayr, P., & Atanassova, I. (2023). UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text. arXiv [Cs.CL]. Retrieved from http://arxiv.org/abs/2307.14236

Acknowledgment

We would like to acknowledge GESIS - Leibniz Institute for the Social Sciences for providing access to SSOAR, which has been instrumental in supporting the creation of the dataset.
DOI: 10.6084/m9.figshare.28578437
title: Dataset of Enzymatic characterization results

description: Glycosyl hydrolases (GH) are enzymes involved in the degradation of plant biomass. They are important for biorefineries that aim at the sustainable utilization of lignocellulosic residues to generate value-added products. The termite Syntermes wheeleri gut microbiota showed an abundance of bacteria from the phylum Firmicutes, a phylum with enzymes capable of breaking down cellulose and degrading lignin, facilitating the use of plant materials as a food source for termites. Using bioinformatics techniques, cellobiohydrolases were searched for in the gut metagenome of the termite Syntermes wheeleri, endemic to the Cerrado. After selecting sequences of the target enzymes, termite gut microbiome metatranscriptome data were used as the criteria to choose the GH9 enzyme sequence Exo8574. Here we present the biochemical and structural characterization of Exo8574, a GH9 enzyme that showed activity with the substrate p-nitrophenyl-D-cellobioside (pNPC), consistent with cellobiohydrolase activity. Bioinformatics tools were used to perform phylogeny studies of Exo8574 and to identify conserved families and domains. Exo8574 showed 48.8% homology to a protein from a bacterium belonging to the phylum Firmicutes. The high-quality three-dimensional (3D) model of Exo8574 was obtained by protein structure prediction AlphaFold 2, a neural network-based method. After the heterologous expression of Exo8574 and its purification, biochemical experiments showed that the optimal activity of the enzyme was at a temperature of 55 ºC and pH 6.0, which was enhanced in the presence of metal ions, especially Fe2+. The estimated kinetic parameters of Exo8574 using the synthetic substrate p-nithrophenyl-beta-D-cellobioside (pNPC) were: Vmax = 9.14 ± 0.2 x10-5 mol/min and Km = 248.27 ± 26.35 μmol/L. The thermostability test showed a 50% loss of activity after 1h incubation at 55oC. The secondary structure contents of Exo8574 evaluated by Circular Dichroism were pH dependent, with greater structuring of protein in β-antiparallel and α-helices at pH 6.0. The similarity between the CD results and the Ramachandran plot of the 3D model suggests that a reliable model has been obtained. Altogether, the results of the biochemical and structural characterization showed that Exo8574 is capable of acting on p-nithrophenyl-beta-D-cellobioside (pNPC), a substrate that mimics bonds present in lignocellulose. These findings have significant implications for advancing in the field of biomass conversion while also contributing to efforts aimed at overcoming challenges in developing more efficient cellulase cocktails.
DOI: 10.6084/m9.figshare.28578437.v1
title: Dataset of Enzymatic characterization results

description: Glycosyl hydrolases (GH) are enzymes involved in the degradation of plant biomass. They are important for biorefineries that aim at the sustainable utilization of lignocellulosic residues to generate value-added products. The termite Syntermes wheeleri gut microbiota showed an abundance of bacteria from the phylum Firmicutes, a phylum with enzymes capable of breaking down cellulose and degrading lignin, facilitating the use of plant materials as a food source for termites. Using bioinformatics techniques, cellobiohydrolases were searched for in the gut metagenome of the termite Syntermes wheeleri, endemic to the Cerrado. After selecting sequences of the target enzymes, termite gut microbiome metatranscriptome data were used as the criteria to choose the GH9 enzyme sequence Exo8574. Here we present the biochemical and structural characterization of Exo8574, a GH9 enzyme that showed activity with the substrate p-nitrophenyl-D-cellobioside (pNPC), consistent with cellobiohydrolase activity. Bioinformatics tools were used to perform phylogeny studies of Exo8574 and to identify conserved families and domains. Exo8574 showed 48.8% homology to a protein from a bacterium belonging to the phylum Firmicutes. The high-quality three-dimensional (3D) model of Exo8574 was obtained by protein structure prediction AlphaFold 2, a neural network-based method. After the heterologous expression of Exo8574 and its purification, biochemical experiments showed that the optimal activity of the enzyme was at a temperature of 55 ºC and pH 6.0, which was enhanced in the presence of metal ions, especially Fe2+. The estimated kinetic parameters of Exo8574 using the synthetic substrate p-nithrophenyl-beta-D-cellobioside (pNPC) were: Vmax = 9.14 ± 0.2 x10-5 mol/min and Km = 248.27 ± 26.35 μmol/L. The thermostability test showed a 50% loss of activity after 1h incubation at 55oC. The secondary structure contents of Exo8574 evaluated by Circular Dichroism were pH dependent, with greater structuring of protein in β-antiparallel and α-helices at pH 6.0. The similarity between the CD results and the Ramachandran plot of the 3D model suggests that a reliable model has been obtained. Altogether, the results of the biochemical and structural characterization showed that Exo8574 is capable of acting on p-nithrophenyl-beta-D-cellobioside (pNPC), a substrate that mimics bonds present in lignocellulose. These findings have significant implications for advancing in the field of biomass conversion while also contributing to efforts aimed at overcoming challenges in developing more efficient cellulase cocktails.
DOI: 10.17597/isas.darts/hyb2-00500
title: Hayabusa2 Laser Altimeter (LIDAR) Bundle

description: This PDS4 bundle collects all the operational data products produced by the Hayabusa2 LIDAR instrument.
DOI: 10.17592/001.2024061705
title: Temperature, conductivity, depth, and chlorophyll a concentration data at stn. I01 (UM1908, 2020 season) and drifting array deployment/retrieval sites (JARE61, 2019/20 season).

description: This is a temperature, conductivity, depth, and chlorophyll a concentration dataset at drifting array deployment/retrieval site on the Shirase cruise of the 61st Japanese Antarctic Research Expedition (JARE61, 2019/20 season). This is also temperature, conductivity, and depth dataset at stn. I01 on the UM19-08 Umitaka-maru cruise (2020 season).
DOI: 10.17592/001.2024061704
title: Temperature, conductivity, and in situ chlorophyll fluorescence during drifting sediment trap observation on JARE61 Shirase cruise

description: The drifting sedimetn traps were deployed off Wilkes Land, Soutehrn Ocean. This is a dataset (temperature, conductivity, and in situ chlorophyll fluorescence) during drifting sediment trap observation on the Shirase cruise of the 61st Japanese Antarctic Research Expedition (JARE61, 2019/20 season).
DOI: 10.17592/001.2024061703
title: The fluxes of two Gyrodinium species (G. rubrum and G. heterogrammum) in the austral summer of 2020 in the Indian sector of the Southern Ocean

description: The sinking particle samples were collected by sediment traps on the Shirase cruise of the 61st Japanese Antarctic Research Expedition (JARE61, 2019/20 season). This is a dataset of two Gyrodinium flux (G. rubrum and G. heterogrammum) estimated by qPCR analysis.
DOI: 10.17592/001.2024061702
title: Mooring sediment trap observation during UM18-08 and UM19-08 Umitaka-maru cruise

description: Mooring sediment trap was deployed in January 2019 on UM18-08 Umitaka-maru cruise and recovered in January 2020 on UM19-08 Umitaka-maru cruise. Particulate organic carbon (POC) flux, fecal pellet flux, and Gyrodinium flux were estimated.
DOI: 10.17592/001.2024061701
title: The occurarences and abundance of two Gyrodinium species (G. rubrum and G. heterogrammum) in sea ice and seawater sampled on the UM19-08 Umitaka-maru cruise and JARE61 Shirase cruise in the 2019/20 season

description: This is a dataset of two Gyrodinium abundance (G. rubrum and G. heterogrammum) in sea ice and seawater sampled on the UM19-08 Umitaka-maru cruise and the Shirase cruise of the 61st Japanese Antarctic Research Expedition (JARE61, 2019/20 season).
DOI: 10.25911/dtr0-1617
title: Predictors of Obsessive-Compulsive Symptom Trajectories Across Six Months - dataset
title: Predictors of Obsessive-Compulsive Disorder (OCD) Symptom Trajectories Across Six Months

description: Six month prospective data of OCD symptoms and related variables among 400 US participants.
description: A prospective observational study was conducted across six months, with data collected at four time points (baseline, two, four, and six months) between September 2021 and March 2022, via an online survey, using the online recruitment platform, Prolific. 

At each timepoint, participants were asked to complete questionnaires assessing their OCS, demographic characteristics and other mental health variables, including depression and anxiety symptoms, psychotropic medication use, and professional help for mental health concerns.
DOI: 10.15468/dl.ytpa4v
title: Occurrence Download

description: A dataset containing 6251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "DatasetKey is INPN - Données flore des CBN agrégées par la FCBN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sempervivum arachnoideum L.",
 "Year 1990-2025"
 ]
}

 The dataset includes 6251 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003535-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x48vt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Apium repens (Jacq.) Lag.",
 "Year 1975-2025"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003537-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryex93
title: Occurrence Download

description: A dataset containing 21562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "DatasetKey is one of (Fungario QCAM, The New York Botanical Garden Herbarium (NY), Herbarium GB, University of Gothenburg, Fungi (S), INSDC Host Organism Sequences, Meise Botanic Garden Herbarium (BR), Lichens at Herbarium Berolinense, Berlin (B), University of Colorado, Museum of Natural History Herbarium Lichen Collection, USDA United States National Fungus Collections)",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 21562 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003536-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aerchc
title: Occurrence Download

description: A dataset containing 13310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Fucales"
 ]
}

 The dataset includes 13310 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003538-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t73tw
title: Occurrence Download

description: A dataset containing 4216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryocosmus kuriphilus Yasumatsu, 1951"
 ]
}

 The dataset includes 4216 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003539-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.am6su4
title: Occurrence Download

description: A dataset containing 2297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sula nebouxii excisa Todd, 1948"
 ]
}

 The dataset includes 2297 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003541-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15009095
title: OpenFF Sage 2.2.0 3 Replicates

description: HMR, 0.9 rvdw, 0.8 switch, 300K. Trajectories have been modified to remove the first 100 ns, remove PBC jumps, center the system, and make molecules whole.