cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ot4625
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calotropis gigantea (L.) W.T.Aiton"
 ]
}

 The dataset includes 597 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002104-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ghua4
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Membras martinica (Valenciennes, 1835)"
 ]
}

 The dataset includes 508 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241180-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hryd8g
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Biopearl expedition: SeaStars (Echinodermata, Asteroidea)"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007419-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtp6wz
title: Occurrence Download

description: A dataset containing 1764 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Peru",
 "Country is Ecuador",
 "Country is Bolivia (Plurinational State of)",
 "Country is Chile",
 "Country is Colombia",
 "Country is Argentina"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Conirostrum binghami (Chapman, 1919)"
 ]
}

 The dataset includes 1764 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286531-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ratca
title: Occurrence Download

description: A dataset containing 1449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drosera petiolaris R.Br. ex DC."
 ]
}

 The dataset includes 1449 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007419-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxiywd
title: Occurrence Download

description: A dataset containing 1567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-115.92773 26.80664,-110.23682 22.47803,-101.71143 16.1499,-95.82275 15.13916,-92.21924 14.34814,-89.84619 15.79834,-91.2085 18.30322,-96.1084 20.87402,-97.33887 28.34473,-104.89746 31.86035,-108.61084 31.97021,-108.34717 31.57471,-109.13818 31.39893,-114.38965 33.09082,-117.53174 32.84912,-115.92773 26.80664))",
 "TaxonKey is Achimenes Pers."
 ]
}

 The dataset includes 1567 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002104-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mfjen
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 {
 "or" : [
 "Month is August",
 "Month is September",
 "Month is October"
 ]
 },
 "OccurrenceStatus is Present",
 "StateProvince is california",
 "TaxonKey is Cardellina pusilla (A.Wilson, 1811)",
 "Year 2020-2020"
 ]
}

 The dataset includes 207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241190-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqyx55
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liophis elegantissimus Koslowsky, 1896"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002105-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uq2tt9
title: Occurrence Download

description: A dataset containing 1370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Campanula lasiocarpa Cham."
 ]
}

 The dataset includes 1370 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298108-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdkrtg
title: Occurrence Download

description: A dataset containing 27059 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Year 1980-2019",
 "Geometry POLYGON((-13.12432 23.6702,50.30988 23.6702,50.30988 71.72024,-13.12432 71.72024,-13.12432 23.6702))",
 "HasCoordinate is true",
 "TaxonKey is Rhinolophus ferrumequinum (Schreber, 1774)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27059 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007419-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q34gpx
title: Occurrence Download

description: A dataset containing 599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otus cyprius (Madarász, 1901)"
 ]
}

 The dataset includes 599 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0397597-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3hekn
title: Occurrence Download

description: A dataset containing 4371 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution des Cétacés et Siréniens dans les eaux de Nouvelle-Calédonie"
 ]
}

 The dataset includes 4371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232709-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc9nia
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Faunal assemblage of sediment core TR149-38b"
 ]
}

 The dataset includes 152 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002105-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxy6qm
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vigna unguiculata subsp. pawekiae Pasquet)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052290-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvbauh
title: Occurrence Download

description: A dataset containing 374571 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupatorium L."
 ]
}

 The dataset includes 374571 records from 1034 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050996-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7870258
title: TAU Urban Acoustic Scenes 2023 Mobile, Evaluation dataset

description: TAU Urban Acoustic Scenes 2023 Mobile evaluation dataset consists of 1-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Traveling by a tram - <em>tram</em> Traveling by a bus - <em>bus</em> Traveling by an underground metro - <em>metro</em> Urban park - <em>park</em>
DOI: 10.5281/zenodo.7879691
title: DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set

description: <strong>General Description</strong> The evaluation set for task 5 of DCASE 2023 "Few-shot Bioacoustic Event Detection" consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task. <strong>Folder structure</strong> Audiofiles and annotation files are organized across 3 different zip files: <em>Eval_1.zip</em> |___CHE23/ |____*.wav |____*.csv |___CW/ |____*.wav |____*.csv <em>Eval_2.zip</em> |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv <em>Eval_3.zip</em> |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv <em>Annotations_only.zip</em> contains the *.csv files organised in the same subfolders. *The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. *Note that there can be different target classes within the same subfolder <strong>Annotation structure</strong> Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ] <strong>Development Set</strong> The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309. <strong>Open Access</strong> This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> <strong>Contact info</strong> Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk or join us on slack: task-fewshot-bio-sed
DOI: 10.5281/zenodo.7879692
title: DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set

description: <strong>General Description</strong> The evaluation set for task 5 of DCASE 2023 "Few-shot Bioacoustic Event Detection" consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task. <strong>Folder structure</strong> Audiofiles and annotation files are organized across 3 different zip files: <em>Eval_1.zip</em> |___CHE23/ |____*.wav |____*.csv |___CW/ |____*.wav |____*.csv <em>Eval_2.zip</em> |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv <em>Eval_3.zip</em> |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv <em>Annotations_only.zip</em> contains the *.csv files organised in the same subfolders. *The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. *Note that there can be different target classes within the same subfolder <strong>Annotation structure</strong> Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ] <strong>Development Set</strong> The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309. <strong>Open Access</strong> This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> <strong>Contact info</strong> Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk or join us on slack: task-fewshot-bio-sed
DOI: 10.5281/zenodo.7885821
title: Comparing thermal regime stages along a small Yakutian fluvial valley with point scale measurements, thermal modeling and near surface geophysics

description: Dataset associated with the paper : "<em>Comparing thermal regime stages along a small Yakutian fluvial valley with point scale measurements, thermal modeling and near surface geophysics</em>" Emmanuel Léger 1 , Albane Saintenoy 1 ,Christophe Grenier 2,† , Antoine Séjourné1 , Eric<br> Pohl2,3 , Frédéric Bouchard4, Marc Pessel1 , Kirill Bazhin5 , Kencheeri Danilov5, François<br> Costard1 , Claude Mugler2 , Alexander Fedorov5 , and Ivan Khristoforov5 and Pavel<br> Konstantinov5<br> 1 Laboratoire Geosciences Paris-Saclay, Université Paris-Saclay, CNRS, GEOPS, 91405, Orsay, France.<br> 2 Laboratoire des Sciences du Climat et de L’Environnement (LSCE), CEA CNRS UVSQ, Université<br> Paris-Saclay, Gif-sur-Yvette, France<br> 3 Department of Geosciences, University of Fribourg, Fribourg, Switzerland<br> 4 Universite de Sherbrooke Département de géomatique appliquée, Sherbrooke, QC, CA<br> 5 Melnikov Permafrost Institute, Yakutsk, Yakutia.
DOI: 10.5281/zenodo.7885820
title: Comparing thermal regime stages along a small Yakutian fluvial valley with point scale measurements, thermal modeling and near surface geophysics

description: Dataset associated with the paper : "<em>Comparing thermal regime stages along a small Yakutian fluvial valley with point scale measurements, thermal modeling and near surface geophysics</em>" Emmanuel Léger 1 , Albane Saintenoy 1 ,Christophe Grenier 2,† , Antoine Séjourné1 , Eric<br> Pohl2,3 , Frédéric Bouchard4, Marc Pessel1 , Kirill Bazhin5 , Kencheeri Danilov5, François<br> Costard1 , Claude Mugler2 , Alexander Fedorov5 , and Ivan Khristoforov5 and Pavel<br> Konstantinov5<br> 1 Laboratoire Geosciences Paris-Saclay, Université Paris-Saclay, CNRS, GEOPS, 91405, Orsay, France.<br> 2 Laboratoire des Sciences du Climat et de L’Environnement (LSCE), CEA CNRS UVSQ, Université<br> Paris-Saclay, Gif-sur-Yvette, France<br> 3 Department of Geosciences, University of Fribourg, Fribourg, Switzerland<br> 4 Universite de Sherbrooke Département de géomatique appliquée, Sherbrooke, QC, CA<br> 5 Melnikov Permafrost Institute, Yakutsk, Yakutia.
DOI: 10.6084/m9.figshare.22730879
title: Dataset "Social identities and relational wellbeing"

description: The file contains dataset on the study on the relations betwen social identities and relational wellbeing among the general population in Indonesia
DOI: 10.5281/zenodo.7885814
title: Extracted ASCADv2 with labels

description: Extracted dataset from the original ASCADv2 database (https://www.data.gouv.fr/fr/datasets/ascadv2/). The dataset is separated in three splits: - training with 200k traces - validation with 50k traces - attack with 50k traces For each trace, the extracted samples are : - samples from the masked inputs of the sboxes - samples from the input mask r_in - samples from the multiplicative mask r_m - labels for most intermediates
DOI: 10.5281/zenodo.7885813
title: Extracted ASCADv2 with labels

description: Extracted dataset from the original ASCADv2 database (https://www.data.gouv.fr/fr/datasets/ascadv2/). The dataset is separated in three splits: - training with 200k traces - validation with 50k traces - attack with 50k traces For each trace, the extracted samples are : - samples from the masked inputs of the sboxes - samples from the input mask r_in - samples from the multiplicative mask r_m - labels for most intermediates
DOI: 10.25402/fsg.22730909
title: appendices A-O: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.docx

description: appendices A-O: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review
DOI: 10.25402/fsg.22730909.v1
title: appendices A-O: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.docx

description: appendices A-O: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review
DOI: 10.25402/fsg.22730912
title: appendix q: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.docx

description: appendix q: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review
DOI: 10.25402/fsg.22730912.v1
title: appendix q: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.docx

description: appendix q: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review
DOI: 10.25402/fsg.22730915
title: appendix p - PRISMA: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.docx

description: appendix p - PRISMA: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review
DOI: 10.25402/fsg.22730915.v1
title: appendix p - PRISMA: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.docx

description: appendix p - PRISMA: Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review
DOI: 10.5281/zenodo.7142837
title: Dataset from: Ultraviolet refractive index values of organic aerosol extracted from deciduous forestry, urban and marine environments

description: The refractive index values of atmospheric aerosols are required to address the large uncertainties in the magnitude of atmospheric radiative forcing and measurements of the refractive index dispersion with wavelength of particulate matter sampled from the atmosphere are rare over ultraviolet wavelengths. An ultraviolet-optimized spectroscopic system illuminates optically-trapped single particles from a range of tropospheric environments to determine the particle’s optical properties. Aerosol from remote marine, polluted urban, and forestry environments is collected on quartz filters, and the organic fraction is extracted and nebulized to form micron-sized spherical particles. The radius and the real component of refractive index dispersion with wavelength of the optically trapped particles are determined to a precision of 0.001 µm and 0.002 respectively over a near-ultraviolet-visible wavelength range of 0.320–0.480 µm. Remote marine aerosol is observed to have the lowest refractive index (n=1.442 (λ=0.350 µm)), with above-canopy rural forestry aerosol (n=1.462–1.481 (λ=0.350 µm)) and polluted urban aerosol (n=1.444–1.485 (λ=0.350 µm)) showing similar refractive index dispersions with wavelength. In-canopy rural forestry aerosol is observed to have the highest refractive index value (n=1.508 (λ=0.350 µm)). The study presents the first single particle measurements of the dispersion of refractive index with wavelength of atmospheric aerosol samples below wavelengths of 0.350 µm. The Cauchy dispersion equation, commonly used to describe the visible refractive index variation of aerosol particles, is demonstrated to extend to ultraviolet wavelengths below 0.350 µm for the urban, forestry, and atmospheric aerosol water-insoluble extracts from these environments. A 1D radiative-transfer calculation of the difference in top-of-the-atmosphere albedo between atmospheric core-shell mineral aerosol with and without films of this material demonstrates the importance of organic films forming on mineral aerosol. The raw experimental spectra collected and analysed in this study are provided, as well as files for the calibrated wavelengths.
DOI: 10.5281/zenodo.7142836
title: Dataset from: Ultraviolet refractive index values of organic aerosol extracted from deciduous forestry, urban and marine environments

description: The refractive index values of atmospheric aerosols are required to address the large uncertainties in the magnitude of atmospheric radiative forcing and measurements of the refractive index dispersion with wavelength of particulate matter sampled from the atmosphere are rare over ultraviolet wavelengths. An ultraviolet-optimized spectroscopic system illuminates optically-trapped single particles from a range of tropospheric environments to determine the particle’s optical properties. Aerosol from remote marine, polluted urban, and forestry environments is collected on quartz filters, and the organic fraction is extracted and nebulized to form micron-sized spherical particles. The radius and the real component of refractive index dispersion with wavelength of the optically trapped particles are determined to a precision of 0.001 µm and 0.002 respectively over a near-ultraviolet-visible wavelength range of 0.320–0.480 µm. Remote marine aerosol is observed to have the lowest refractive index (n=1.442 (λ=0.350 µm)), with above-canopy rural forestry aerosol (n=1.462–1.481 (λ=0.350 µm)) and polluted urban aerosol (n=1.444–1.485 (λ=0.350 µm)) showing similar refractive index dispersions with wavelength. In-canopy rural forestry aerosol is observed to have the highest refractive index value (n=1.508 (λ=0.350 µm)). The study presents the first single particle measurements of the dispersion of refractive index with wavelength of atmospheric aerosol samples below wavelengths of 0.350 µm. The Cauchy dispersion equation, commonly used to describe the visible refractive index variation of aerosol particles, is demonstrated to extend to ultraviolet wavelengths below 0.350 µm for the urban, forestry, and atmospheric aerosol water-insoluble extracts from these environments. A 1D radiative-transfer calculation of the difference in top-of-the-atmosphere albedo between atmospheric core-shell mineral aerosol with and without films of this material demonstrates the importance of organic films forming on mineral aerosol. The raw experimental spectra collected and analysed in this study are provided, as well as files for the calibrated wavelengths.
DOI: 10.5281/zenodo.7590808
title: Clinically approved small molecule antibiotics since 2010

description: Properties of clinically approved small molecule antibiotics since 2010 are summarized. Properties include: Name Year approved Origin Mechanism of action Indication Administration Spectrum Protein binding Resistance Smiles Molweight cLogP cLogS H-Acceptors H-Donors Druglikeness DrugScore Total Molweight Monoisotopic Mass Total Surface Area Relative PSA Polar Surface Area LE from Molweight LLE from Molweight LELP from Molweight Shape Index Molecular Flexibility Molecular Complexity Structure of Smiles [idcode] Propeties in rows B to I were retrieved from the references cited in the dataset. <br> Properties in rows K - AC were calculated with DataWarrior. https://openmolecules.org/datawarrior/index.html