cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6358513
title: Hydrographic and velocity data during Leg 1 of the R/V Hespérides MOC2 cruise, 7-18 April 2010, western equatorial Atlantic

description: This dataset consists of 47 CTD and LADCPs casts from the sea surface down to 5000 m. These hydrographic casts were done during the first leg of the MOC2-Equatorial oceanographic cruise, which took place in the western equatorial Atlantic (5°S-5°N; 46°W-30°W] between 7 and 18 April 2010, onboard the R/V Hespérides. Temperature and conductivity were obtained with a SeaBird 911-Plus multi-probe system mounted on a 24 Niskin-bottle rosette that collected water samples at standard depths, which were used to calibrate the conductivity data. Duplicate temperature and conductivity sensors were used as a quality control measure. The LADCPs were RDI 300 kHz Workhorse Monitor instruments used in synchronized master-slave mode. The system was set to a ping-rate of 1 ping/s and a bin length of 10 m, and the data was processed using the IFM-GEOMAR LADCP software, Version 10.8. The LADCPs velocity data were de-tided using the TPXO.3 global model of ocean tides. The netcdf file MOC2_leg1.nc contains data interpolated linearly every 1 m from surface to 1500 m depth.
DOI: 10.6084/m9.figshare.19361840
title: Data of Research on Autonomous Grabbing Method Based on ROS Vision System

description: Data of Research on Autonomous Grabbing Method Based on ROS Vision System
DOI: 10.6084/m9.figshare.19361840.v2
title: Data of Research on Autonomous Grabbing Method Based on ROS Vision System

description: Data of Research on Autonomous Grabbing Method Based on ROS Vision System
DOI: 10.6084/m9.figshare.19361840.v1
title: Data of Research on Autonomous Grabbing Method Based on ROS Vision System

description: Data of Research on Autonomous Grabbing Method Based on ROS Vision System
DOI: 10.22021/bbldntz202202
title: The Linked Open British National Bibliography – Books. 1950/2022-02 – N-Triples
DOI: 10.26165/juelich-data/a6dggw
title: Data for: Reappearance of first Shapiro step in narrow topological Josephson junctions

description: Reappearance of first Shapiro step in narrow topological Josephson junctions: Source data underlying Figs. 2, 4, 5, and 6 and Supplementary Figs. S1 and S2.
DOI: 10.22021/bbldrdfz202202
title: The Linked Open British National Bibliography – Books. 1950/2022-02 – RDF/XML
DOI: 10.6084/m9.figshare.19361930
title: The data of genomic sequencing of the fine-mapping interval from NIL-CL and NIL-CH

description: The data of genomic sequencing of the fine-mapping interval from NIL-CL and NIL-CH<br>
DOI: 10.6084/m9.figshare.19361930.v1
title: The data of genomic sequencing of the fine-mapping interval from NIL-CL and NIL-CH

description: The data of genomic sequencing of the fine-mapping interval from NIL-CL and NIL-CH<br>
DOI: 10.22021/bsldntz202202
title: The Linked Open British National Bibliography – Serials. 1950/2022-02 – N-Triples
DOI: 10.22021/bsldrdfz202202
title: The Linked Open British National Bibliography – Serials. 1950/2022-02 – RDF/XML
DOI: 10.22021/bcldntz202202
title: The Linked Open British National Bibliography – Forthcoming Books. 2022-02 – N-Triples
DOI: 10.22021/bcldrdfz202202
title: The Linked Open British National Bibliography – Forthcoming Books. 2022-02 – RDF/XML
DOI: 10.26165/juelich-data/omk2i9
title: Replication Data for Greenland ECMWF runs 2016-03-10:Orographically-induced Spontaneous Imbalance within the Jet Causing a Large Scale Gravity Wave Event

description: The data repository provides the specialised ECMWF model runs used in Geldenhuys et al. submitted to ACP in 2021. This study identified a new gravity wave source mechanism through a jet-topography interaction. The dataset contains 2 model runs discussed in the publication (CTL-run pertains to experiment h47y and T21-run pertains to experiment h485) and a 3rd (experiment h484) where the orographic drag parameterisation was switched off.
DOI: 10.6084/m9.figshare.19222944
title: Scotland coastal and maritime heritage participatory mapping

description: These figures are the results of two participatory mapping workshops held in Scotland in 2019. The first workshop was held in Paisley, a peri-urban location; the second was held in Lochgilphead, a rural town. <br>Each workshop had 14-15 participants, recruited to be representative of the communities they came from.
DOI: 10.6084/m9.figshare.19222959.v1
title: Brittany workshop results

description: This data is comprised of the results and notes from 3 workshops held in Locmariaquer. The workshops were organised to bring local residents, local politicians and heritage experts together to discuss value cultural heritage, risks to it and to discuss ways forward in the face of risk. <br>Workshop summaries can be found here: https://www.pericles-heritage.eu/stakeholder-workshops/
DOI: 10.6084/m9.figshare.19222944.v1
title: Scotland coastal and maritime heritage participatory mapping

description: These figures are the results of two participatory mapping workshops held in Scotland in 2019. The first workshop was held in Paisley, a peri-urban location; the second was held in Lochgilphead, a rural town. <br>Each workshop had 14-15 participants, recruited to be representative of the communities they came from.
DOI: 10.6084/m9.figshare.19222959
title: Brittany workshop results

description: This data is comprised of the results and notes from 3 workshops held in Locmariaquer. The workshops were organised to bring local residents, local politicians and heritage experts together to discuss value cultural heritage, risks to it and to discuss ways forward in the face of risk. <br>Workshop summaries can be found here: https://www.pericles-heritage.eu/stakeholder-workshops/
DOI: 10.6084/m9.figshare.19361888
title: Repository Codon Usage Evolution in Opisthokonta

description: The folder contains the scripts, predicted proteins, CDS, ncRNA, DNA toplevel files and expression levels used in the PhD thesis "Codon Usage Evolution in Opisthokonta".<br>Author: Juan José Ginés RivasMain Supervisor: Dr Martin Carr<br>
DOI: 10.6084/m9.figshare.19361888.v1
title: Repository Codon Usage Evolution in Opisthokonta

description: The folder contains the scripts, predicted proteins, CDS, ncRNA, DNA toplevel files and expression levels used in the PhD thesis "Codon Usage Evolution in Opisthokonta".<br>Author: Juan José Ginés RivasMain Supervisor: Dr Martin Carr<br>
DOI: 10.6084/m9.figshare.19361960
title: The data of genomic sequencing of the fine-mapping interval from NIL-CL and NIL-CH

description: The genomic sequencing of the fine-mapping interval （85.4 kb）from NIL-CL with closed petals and NIL-CH with open petals .
DOI: 10.6084/m9.figshare.19361960.v1
title: The data of genomic sequencing of the fine-mapping interval from NIL-CL and NIL-CH

description: The genomic sequencing of the fine-mapping interval （85.4 kb）from NIL-CL with closed petals and NIL-CH with open petals .
DOI: 10.6084/m9.figshare.19352303.v1
title: Material transfer agreements research data

description: supporting data for publication
DOI: 10.6084/m9.figshare.19361825
title: Datasets in Spanish for short/long slots and short/long sentences

description: Datasets generated in Spanish for medication management scenarios.<br>It consists of four datasets:- Short slots and short sentences- Short slots and long sentences- Long slots and short sentences- Long slots and long sentences<br>All the datasets include the train and the development data.<br>The files are the followings:- data: The sentence, the slot tags, and the intent (separated with tabulations).- label: The sentences' intents.- seq.in: The sentences.- seq.out: The slot tags (following the IOB format).
DOI: 10.6084/m9.figshare.19361825.v1
title: Datasets in Spanish for short/long slots and short/long sentences

description: Datasets generated in Spanish for medication management scenarios.<br>It consists of four datasets:- Short slots and short sentences- Short slots and long sentences- Long slots and short sentences- Long slots and long sentences<br>All the datasets include the train and the development data.<br>The files are the followings:- data: The sentence, the slot tags, and the intent (separated with tabulations).- label: The sentences' intents.- seq.in: The sentences.- seq.out: The slot tags (following the IOB format).
DOI: 10.6084/m9.figshare.14200109
title: CAB-NP projected on MNI2009a GM (volumetric) in NIfTI format

description: We provide volumetric versions of the Cole-Anticevic Brain-wide Network Partition (CAB-NP) published by Ji, Spronk, Kulkarni, Repovs, Anticevic, & Cole (2019, Mapping the human brain's cortical-subcortical functional network organization. NeuroImage, 185, 35–57). The original whole-brain parcellation with 12 distributed networks is available as cortical surface and subcortical volume data combined in CIFTI format. CAB-NP cortical surfaces were first projected onto fsaverage space using Katherine Mill’s approach (https://figshare.com/articles/dataset/HCP-MMP1_0_projected_on_fsaverage/3498446), then converted to volumetric MNI space (ICBM 152 2009a NLIN) using Andreas Horn’s procedure (https://figshare.com/articles/dataset/HCP-MMP1_0_projected_on_MNI2009a_GM_volumetric_in_NIfTI_format/3501911). Both tight and liberal volumetric versions are provided, with the 12 networks including both cortical and subcortical regions.
DOI: 10.6084/m9.figshare.19358456.v2
title: Effect of intestinal NHE3 deletion on gut microbiome

description: This study analyzes the differential abundance of microbiota between intestine-specific NHE3 knockout and control mice.
DOI: 10.5281/zenodo.6359412
title: Hydrographic and velocity data during Leg 1 of the R/V Hespérides MOC2 cruise, 7-18 April 2010, western equatorial Atlantic

description: This dataset consists of 47 CTD and LADCPs casts from the sea surface down to 5000 m. These hydrographic casts were done during the first leg of the MOC2-Equatorial oceanographic cruise, which took place in the western equatorial Atlantic (5°S-5°N; 46°W-30°W] between 7 and 18 April 2010, onboard the R/V Hespérides. Temperature and conductivity were obtained with a SeaBird 911-Plus multi-probe system mounted on a 24 Niskin-bottle rosette that collected water samples at standard depths, which were used to calibrate the conductivity data. Duplicate temperature and conductivity sensors were used as a quality control measure. The LADCPs were RDI 300 kHz Workhorse Monitor instruments used in synchronized master-slave mode. The system was set to a ping-rate of 1 ping/s and a bin length of 10 m, and the data was processed using the IFM-GEOMAR LADCP software, Version 10.8. The LADCPs velocity data were de-tided using the TPXO.3 global model of ocean tides. The netcdf file MOC2_leg1.nc contains data interpolated linearly every 1 m from surface to 1500 m depth.
DOI: 10.5281/zenodo.6358512
title: Hydrographic and velocity data during Leg 1 of the R/V Hespérides MOC2 cruise, 7-18 April 2010, western equatorial Atlantic

description: This dataset consists of 47 CTD and LADCPs casts from the sea surface down to 5000 m. These hydrographic casts were done during the first leg of the MOC2-Equatorial oceanographic cruise, which took place in the western equatorial Atlantic (5°S-5°N; 46°W-30°W] between 7 and 18 April 2010, onboard the R/V Hespérides. Temperature and conductivity were obtained with a SeaBird 911-Plus multi-probe system mounted on a 24 Niskin-bottle rosette that collected water samples at standard depths, which were used to calibrate the conductivity data. Duplicate temperature and conductivity sensors were used as a quality control measure. The LADCPs were RDI 300 kHz Workhorse Monitor instruments used in synchronized master-slave mode. The system was set to a ping-rate of 1 ping/s and a bin length of 10 m, and the data was processed using the IFM-GEOMAR LADCP software, Version 10.8. The LADCPs velocity data were de-tided using the TPXO.3 global model of ocean tides. The netcdf file MOC2_leg1.nc contains data interpolated linearly every 1 m from surface to 1500 m depth.
DOI: 10.5281/zenodo.5523141
title: Social vulnerability to flooding in Ecuador : input variables, PCA vs Expert composite indices

description: <strong>Social vulnerability indices are used to better understand and predict the consequences of disasters, and support the development of improved disaster management policies. This research specifically supports the Ecuadorian Red Cross in generating a flood-specific social vulnerability index to inform flash flood early action protocol.</strong> The dataset presents the results from the analysis of the social vulnerability to flooding in Ecuador, from individual input variables to the composite indices outputs. The results are available at the Parroquia level in Ecuador (admin level 3), for 1032 Parroquia excluding the Galapagos Islands. The dataset comprises, for each Parroquia, the estimation of <strong>15 variables characterizing the social vulnerability to flooding specific to Ecuador context</strong>. The variables are selected from literature review and consultation with Ecuadorian Red Cross disaster practitioners : <em>Disability, Poverty incidence, Gini Index, Agricultural labor share, Vectorborne disease incidence, Waterborne disease incidence, Social Security affiliation, Education level, Sanitation, Driking water access, Power access, Road travel time, Wall structure, Mobile access and Internet access.</em> All variables are normalized from 0 to 1, directed toward increasing vulnerability, and renamed accordingly. In addition, the <strong>Administrative level names, PCODE, calculated Area, population density,</strong> as well as related <strong>sub-regions</strong> are also referenced. Individual variables are integrated into <strong>composite vulnerability indices</strong>, using two different approaches: i) the Principal Component Analysis approach, using the first component <strong>PCA(n=1) </strong>and the first 5 components <strong>PCA(n=5)</strong> separately ; ii) the <strong>expert judgement weighting</strong> of the variables. The output composite indices, normalized from 0 to 1 are presented in 3 separated columns.
description: This research was funded by the National Aeronautics and Space Administration, grant number 80NSSC18K0342 and 80NSSC18K1693. Submitted paper.
description: {"references": ["http://redatam.inec.gob.ec/"]}
DOI: 10.5281/zenodo.5523140
title: Social vulnerability to flooding in Ecuador : input variables, PCA vs Expert composite indices

description: <strong>Social vulnerability indices are used to better understand and predict the consequences of disasters, and support the development of improved disaster management policies. This research specifically supports the Ecuadorian Red Cross in generating a flood-specific social vulnerability index to inform flash flood early action protocol.</strong> The dataset presents the results from the analysis of the social vulnerability to flooding in Ecuador, from individual input variables to the composite indices outputs. The results are available at the Parroquia level in Ecuador (admin level 3), for 1032 Parroquia excluding the Galapagos Islands. The dataset comprises, for each Parroquia, the estimation of <strong>15 variables characterizing the social vulnerability to flooding specific to Ecuador context</strong>. The variables are selected from literature review and consultation with Ecuadorian Red Cross disaster practitioners : <em>Disability, Poverty incidence, Gini Index, Agricultural labor share, Vectorborne disease incidence, Waterborne disease incidence, Social Security affiliation, Education level, Sanitation, Driking water access, Power access, Road travel time, Wall structure, Mobile access and Internet access.</em> All variables are normalized from 0 to 1, directed toward increasing vulnerability, and renamed accordingly. In addition, the <strong>Administrative level names, PCODE, calculated Area, population density,</strong> as well as related <strong>sub-regions</strong> are also referenced. Individual variables are integrated into <strong>composite vulnerability indices</strong>, using two different approaches: i) the Principal Component Analysis approach, using the first component <strong>PCA(n=1) </strong>and the first 5 components <strong>PCA(n=5)</strong> separately ; ii) the <strong>expert judgement weighting</strong> of the variables. The output composite indices, normalized from 0 to 1 are presented in 3 separated columns.
description: This research was funded by the National Aeronautics and Space Administration, grant number 80NSSC18K0342 and 80NSSC18K1693. Submitted paper.
description: {"references": ["http://redatam.inec.gob.ec/"]}
DOI: 10.6084/m9.figshare.19361999
title: GWAS_Age_Abdomen_X.bgen.stats.gz

description: Abdomen Age Acceleration GWAS<br>With age, the prevalence of diseases such as fatty liver disease, cirrhosis, and type two diabetes increases. Approaches to both determine abdominal age and identify risk factors for accelerated abdominal age will help delay the onset of these diseases. We build the first abdominal age predictor by training convolutional neural networks to predict abdominal age (or “AbdAge”) from 45,552 liver magnetic resonance images [MRIs] and 36,784 pancreas MRIs (R-Squared=73.3±0.6; mean absolute error=2.94±0.03 years). Attention maps show that the prediction is driven by both liver and pancreas anatomical features, and surrounding organs and tissue. Abdominal aging is a complex trait, partially heritable (h_g<sup>2</sup>=26.3±1.9%), and associated with 16 genetic loci (e.g. <i>PLEKHA1 </i>and <i>EFEMP1</i>), biomarkers (e.g body impedance), clinical phenotypes (e.g, chest pain), diseases (e.g. hypertension), environmental (e.g smoking), and socioeconomic (e.g education, income) factors.<br>
DOI: 10.6084/m9.figshare.19361999.v1
title: GWAS_Age_Abdomen_X.bgen.stats.gz

description: Abdomen Age Acceleration GWAS<br>With age, the prevalence of diseases such as fatty liver disease, cirrhosis, and type two diabetes increases. Approaches to both determine abdominal age and identify risk factors for accelerated abdominal age will help delay the onset of these diseases. We build the first abdominal age predictor by training convolutional neural networks to predict abdominal age (or “AbdAge”) from 45,552 liver magnetic resonance images [MRIs] and 36,784 pancreas MRIs (R-Squared=73.3±0.6; mean absolute error=2.94±0.03 years). Attention maps show that the prediction is driven by both liver and pancreas anatomical features, and surrounding organs and tissue. Abdominal aging is a complex trait, partially heritable (h_g<sup>2</sup>=26.3±1.9%), and associated with 16 genetic loci (e.g. <i>PLEKHA1 </i>and <i>EFEMP1</i>), biomarkers (e.g body impedance), clinical phenotypes (e.g, chest pain), diseases (e.g. hypertension), environmental (e.g smoking), and socioeconomic (e.g education, income) factors.<br>
DOI: 10.6084/m9.figshare.19361972
title: GWAS_Age_AbdomenLiver_X.bgen.stats.gz

description: GWAS on Accelerated Liver Aging
DOI: 10.6084/m9.figshare.19361972.v1
title: GWAS_Age_AbdomenLiver_X.bgen.stats.gz

description: GWAS on Accelerated Liver Aging
DOI: 10.6084/m9.figshare.19361957
title: GWAS_Age_AbdomenPancreas_X.bgen.stats.gz

description: GWAS Summary Statistics for Abdomen Pancreas Aging<br><br>
DOI: 10.6084/m9.figshare.19361957.v1
title: GWAS_Age_AbdomenPancreas_X.bgen.stats.gz

description: GWAS Summary Statistics for Abdomen Pancreas Aging<br><br>
DOI: 10.34820/fk2/zyvmwd/npziwx
title: petunjuk penggunaan alat.jpeg

description: :unav
DOI: 10.34820/fk2/zyvmwd/aq9bs8
title: alat peminjaman-pengembalian sepeda.jpeg

description: :unav
DOI: 10.34820/fk2/zyvmwd/dxstkt
title: booth registrasi boseh.jpeg

description: :unav
DOI: 10.34820/fk2/zyvmwd/hg0vds
title: pictures2.jpeg

description: :unav
DOI: 10.34820/fk2/zyvmwd/hu8apw
title: docking sepeda.jpeg

description: :unav
DOI: 10.34820/fk2/zyvmwd/cbail7
title: sepeda.jpeg

description: :unav
DOI: 10.34820/fk2/zyvmwd
title: Nur Arief Hapsoro Shelter Sepeda Dataverse

description: foto survey shelter sepeda di Alun-alun Bandung.
DOI: 10.6084/m9.figshare.19361975.v1
title: Appendix to BEH 3752

description: Results of statistical analyses
DOI: 10.25500/edata.bham.00000807
title: STREAM: Multi-sensor dataset for maritime situational awareness
DOI: 10.15468/dl.4fcvqd
title: Occurrence Download

description: A dataset containing 40860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans Say, 1823",
 "Year 2000-2024"
 ]
}

 The dataset includes 40860 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057147-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z985tf
title: Occurrence Download

description: A dataset containing 62920 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elodea nuttallii (Planch.) H.St.John"
 ]
}

 The dataset includes 62920 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008299-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28bvv9
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphoglossum filipes Rosenst."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160542-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bqf76
title: Occurrence Download

description: A dataset containing 7037 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morpho helenor Cramer, 1782"
 ]
}

 The dataset includes 7037 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034144-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkrs2z
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen, Living Specimen)",
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Trigona muzoensis Schwarz, 1948",
 "Year 2021-2024"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057150-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgzjs2
title: Occurrence Download

description: A dataset containing 948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Balantiopteryx plicata Peters, 1867",
 "Year 2000-2024"
 ]
}

 The dataset includes 948 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160541-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63v5dj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum cyparisii Hágsater, Charly & Viscardi"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160543-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.