cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8cgcxz
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ulva lactuca L."
 ]
}

 The dataset includes 420 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007675-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbpe3n
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acipenser gueldenstaedtii Brandt & Ratzeburg, 1833)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 315 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052215-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.th5xh5
title: Occurrence Download

description: A dataset listing the 84 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Geometry POLYGON((9.99195 53.05953,10.01459 53.05953,10.01459 53.07813,9.99195 53.07813,9.99195 53.05953))",
 "HasCoordinate is true"
 ]
}

 The dataset's 84 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249698-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktfe88
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oophaga lehmanni (Myers & Daly, 1976)"
 ]
}

 The dataset includes 462 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005923-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uasfh7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parodia buiningii (Buxb.) N.P.Taylor)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052216-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwvthj
title: Occurrence Download

description: A dataset containing 352692 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantae of Costa Rica (INBio)"
 ]
}

 The dataset includes 352692 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006904-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5uprw
title: Occurrence Download

description: A dataset containing 663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is India",
 "InstitutionCode is mnhn",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 663 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007675-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz832t
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 629 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0318318-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmg8hp
title: Occurrence Download

description: A dataset containing 173365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Strix Linnaeus, 1758",
 "Year 2019-2021"
 ]
}

 The dataset includes 173365 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241079-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txlmc3
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Illex argentinus (Castellanos, 1960)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 410 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001245-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbj1ze
title: Occurrence Download

description: A dataset containing 4524965 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Chinese Taipei"
 ]
}

 The dataset includes 4524965 records from 879 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007675-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxee6n
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Dolomiaea lateritia C.Shih"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298029-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skf24y
title: Occurrence Download

description: A dataset containing 1746 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SILENE-FAUNE-PACA - Environnement_Passion_2017_12_18"
 ]
}

 The dataset includes 1746 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232580-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x1xk6f
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amanita muscaria (L.) Hook.",
 "Country is Mexico"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001245-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zuj46
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydoras caudimaculatus Rössel, 1961"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060827-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxp7sh
title: Occurrence Download

description: A dataset containing 4053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Soliva sessilis Ruiz & Pav."
 ]
}

 The dataset includes 4053 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005912-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzcp6r
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypna clytemnestra huebneri Butler, 1866"
 ]
}

 The dataset includes 122 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036146-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzucak
title: Occurrence Download

description: A dataset containing 26208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Griseliniaceae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26208 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001245-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szxyfp
title: Occurrence Download

description: A dataset containing 2622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9869.0",
 "Geometry POLYGON((-142.0285 10.91492,-44.44656 10.91492,-44.44656 51.4064,-142.0285 51.4064,-142.0285 10.91492))",
 "TaxonKey is Sorghum halepense (L.) Pers."
 ]
}

 The dataset includes 2622 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086409-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3spkqc
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Germany",
 "Country is Austria",
 "Country is Slovakia",
 "Country is Hungary",
 "Country is Serbia",
 "Country is Romania",
 "Country is Croatia",
 "Country is Bulgaria"
 ]
 },
 "TaxonKey is Potamothrix moldaviensis Vejdovský & Mrázek, 1903"
 ]
}

 The dataset includes 115 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250378-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89rgkq
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazona tresmariae Nelson, 1900"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313198-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v11g2f
title: Occurrence Download

description: A dataset containing 1519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synbranchidae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1519 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001246-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdlqld
title: Occurrence Download

description: A dataset containing 14901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Procyon lotor (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14901 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007676-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muzvkx
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Fulgensia fulgens (Sw.) Elenkin"
 ]
}

 The dataset includes 266 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017214-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4u29ng
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polypogon tenuis Brongn."
 ]
}

 The dataset includes 194 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092665-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr3uh2
title: Occurrence Download

description: A dataset containing 803353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 803353 records from 555 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000051-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7833536
title: Synthetic flat ntuples in the ROOT data format

description: These two datasets contain flat ntuples in the ROOT data format, synthetically produced using a ROOT macro. ROOT is the typical data format for storing High Energy Physics (HEP) data. In the ROOT context, a flat ntuple stores data not in the form of C++ object but each branch contains simple numbers (e.g. floating point numbers, integers) or vectors whose dimension might vary on an event-by-event basis. The two datasets have similar content and we distinguish them by adding the suffix <em>bkg</em> and <em>sgn</em> which stands for background and signal. There is no specific physics meaning behind these data. The two datasets contain both 5M of events and 50 branches, of which 10 contain integers, 10 floating point numbers, 10 vectors of integers, and 20 vectors of floating point numbers. The distributions used to fill the datasets are: gaussian, uniform, and exponential. The two datasets differ only on the content of two branches filled with vectors of floating point numbers, where a different mean and standard deviation have been set. These datasets have been produced to test the performance of the MLaaS4HEP framework. More info on the MLaaS4HEP framework in https://doi.org/10.1007/s41781-021-00061-3
DOI: 10.5281/zenodo.7833535
title: Synthetic flat ntuples in the ROOT data format

description: These two datasets contain flat ntuples in the ROOT data format, synthetically produced using a ROOT macro. ROOT is the typical data format for storing High Energy Physics (HEP) data. In the ROOT context, a flat ntuple stores data not in the form of C++ object but each branch contains simple numbers (e.g. floating point numbers, integers) or vectors whose dimension might vary on an event-by-event basis. The two datasets have similar content and we distinguish them by adding the suffix <em>bkg</em> and <em>sgn</em> which stands for background and signal. There is no specific physics meaning behind these data. The two datasets contain both 5M of events and 50 branches, of which 10 contain integers, 10 floating point numbers, 10 vectors of integers, and 20 vectors of floating point numbers. The distributions used to fill the datasets are: gaussian, uniform, and exponential. The two datasets differ only on the content of two branches filled with vectors of floating point numbers, where a different mean and standard deviation have been set. These datasets have been produced to test the performance of the MLaaS4HEP framework. More info on the MLaaS4HEP framework in https://doi.org/10.1007/s41781-021-00061-3
DOI: 10.5281/zenodo.7867730
title: Maximum temperature data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)

description: Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided. It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC. Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100. Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design. For each cell, data includes the maximum temperature measured during thermal abuse at the surface on the center of the cell. Additionally, the mean value and standard deviation for each cell type and state of charge is provided. This data is supporting this article in the journal Batteries: https://doi.org/10.3390/batteries9050237 Additional supporting material to this article are the exothermal data for thermal abuse, that are published here: https://doi.org/10.5281/zenodo.7707929
description: {"references": ["https://doi.org/10.3390/batteries9050237"]}
DOI: 10.5281/zenodo.7867729
title: Maximum temperature data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)

description: Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided. It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC. Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100. Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design. For each cell, data includes the maximum temperature measured during thermal abuse at the surface on the center of the cell. Additionally, the mean value and standard deviation for each cell type and state of charge is provided. This data is supporting this article in the journal Batteries: https://doi.org/10.3390/batteries9050237 Additional supporting material to this article are the exothermal data for thermal abuse, that are published here: https://doi.org/10.5281/zenodo.7707929
description: {"references": ["https://doi.org/10.3390/batteries9050237"]}
DOI: 10.35077/add-fog
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848629140

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: cell in slice
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848629140', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'848629140', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'848629140', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.35077/add-foo
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848672037

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: cell in slice
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848672037', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'848672037', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'848672037', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.5281/zenodo.7784745
title: Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment

description: Dataset underlying the analysis in Hauck et al., 2023: Sparse observations induce large biases in estimates of the global ocean CO<sub>2</sub> sink - an ocean model subsampling experiment, Philosophical Transactions A Surface ocean partial pressure of CO<sub>2 </sub>(pCO<sub>2</sub>) and air-sea CO<sub>2</sub> flux reconstructions, using two mapping methods (MPI-SOM-FFN, CarboScope) three different sampling masks: SOCAT, SOCAT+SOCCOM, IDEAL (based on bgcArgo, Roemmich et al., 2019). Also, all FESOM-REcoM output fields that were used in the reconstructions are provided. We further provide the three masks that were used for subsampling: SOCAT, SOCAT+SOCCOM, IDEAL (bgcArgo).
description: {"references": ["Hauck et al., 2023: Sparse observations induce large biases in estimates of the global ocean CO2 sink - an ocean model subsampling experiment, Phil. Trans. R. Soc. A 381: 20220063. https://doi.org/10.1098/rsta.2022.0063"]}
DOI: 10.5281/zenodo.7784744
title: Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment

description: Dataset underlying the analysis in Hauck et al., 2023: Sparse observations induce large biases in estimates of the global ocean CO<sub>2</sub> sink - an ocean model subsampling experiment, Philosophical Transactions A Surface ocean partial pressure of CO<sub>2 </sub>(pCO<sub>2</sub>) and air-sea CO<sub>2</sub> flux reconstructions, using two mapping methods (MPI-SOM-FFN, CarboScope) three different sampling masks: SOCAT, SOCAT+SOCCOM, IDEAL (based on bgcArgo, Roemmich et al., 2019). Also, all FESOM-REcoM output fields that were used in the reconstructions are provided. We further provide the three masks that were used for subsampling: SOCAT, SOCAT+SOCCOM, IDEAL (bgcArgo).
description: {"references": ["Hauck et al., 2023: Sparse observations induce large biases in estimates of the global ocean CO2 sink - an ocean model subsampling experiment, Phil. Trans. R. Soc. A 381: 20220063. https://doi.org/10.1098/rsta.2022.0063"]}