cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9mt5kn
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrenidae",
 "BasisOfRecord is one of (Occurrence evidence)",
 "Country is one of (Argentina, Aruba, Bolivia (Plurinational State of), Brazil, Chile, Colombia, Cuba, Dominican Republic, Ecuador, Falkland Islands (Malvinas), French Guiana, Guyana, Haiti, Paraguay, Peru, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Uruguay, Venezuela (Bolivarian Republic of), Anguilla, Antigua and Barbuda, Bahamas, Barbados, Virgin Islands (British), Cayman Islands, Dominica, Dominican Republic, Grenada, Guadeloupe, Jamaica, Martinique, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Trinidad and Tobago, Turks and Caicos Islands)"
 ]
}

 The dataset includes 56 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026780-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vba89t
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triglochin mexicana Kunth"
 ]
}

 The dataset includes 19 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026781-241024112534372/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.25736541
title: Enzlein 2024 M²ara - Example data

description: This is example data for the M²ara application.Unger2020_OATP2B1_inhibition_mzML.zipThe file contains mzML data (converted from Bruker Flex using MSConvert) originally published in Unger, et. al., 2020, Anal Chem.<br>To replicate the results shown use the following parameters:<br>Under Settings set File Format to mzMLset Concentration unit to nMset Normalization/re-calibration <i>m/z</i> to 354.1418 (D4-E3S, [M-H]-)set re-calibration tolerance to 0.1 Daset normalization to <i>m/z</i>deactivate smoothing and activate baseline removalset Aggregation method to meanset SNR to 3set alignment to 0 mDa (no alignment)set binning tolerance to 100 ppmselect the folder <code>mzML</code> (containting the mzML files named with concentrations), please make sure that no other files are in this folder.Or see the corresponding processing parameters file for processing settings.The target <i>m/z</i> is 349.11 (E3S, [M-H]-) the pIC50 value should be 6.1.Weigt2018_BCR-ABL_inhibition_Dasatinib_BrukerFlex.zipThe file contains data in the Bruker Flex format originally published in Weigt, et. al., 2018, Sci Rep.To replicate the results shown use the following parameters:<br>Under Settings set File Format to Bruker Flexset Concentration unit to µMset Normalization/re-calibration <i>m/z</i> to 760.5851 (PC(34:1) [M+H]+)set recalibration tolerance to 0.1 Daset normalization to TICactivate smoothing and baseline removalset Aggregation method to meanset SNR to 3set alignment to 0 mDa (no alignment)set binning tolerance to 100 ppmselect the folder curve inside the .zip file, it should contain more folders with concentrations as names, make sure no other files/folders are present.Or see the corresponding processing parameters file for processing settings.The target <i>m/z</i> is 826.5722 (PC(36:1) [M+K]+) and <i>m/z</i> 616.1767 (Heme B [M+H]+) the pIC50 values should be 9.5 and 9.7.Koch2023_DAPT_InhibitorThe file contains data from the publication Koch et al., 2023, EMBO.See the corresponding processing parameters file for processing settings.Schmidt2024_CDCThe file contains data from the publication Schmidt et al., 2024, Sci Rep.See the corresponding processing parameters file for processing settings.Weigt2019_FASNThe file contains data from the publication Weigt et al., 2019, Cell Chem Biol.See the corresponding processing parameters file for processing settings.
DOI: 10.6084/m9.figshare.25736541.v2
title: Enzlein 2024 M²ara - Example data

description: This is example data for the M²ara application.Unger2020_OATP2B1_inhibition_mzML.zipThe file contains mzML data (converted from Bruker Flex using MSConvert) originally published in Unger, et. al., 2020.<br>To replicate the results shown use the following parameters:<br>Under Settings set File Format to mzMLset Concentration unit to nMset Normalization/re-calibration <i>m/z</i> to 354.1418 (D4-E3S, [M-H]-)set recalibration tolerance to 0.1 Daset normalization to <i>m/z</i>activate smoothing and baseline removalset Aggregation method to meanset SNR to 3set alignment to 0 mDa (no alignment)set binning tolerance to 100 ppmselect the folder <code>mzML</code> (containting the mzML files named with concentrations), please make sure that no other files are in this folder.The target <i>m/z</i> is 349.11 (E3S, [M-H]-) the pIC50 value should be 6.1.Weigt2018_BCR-ABL_inhibition_Dasatinib_BrukerFlex.zipThe file contains data in the Bruker Flex format originally published in Weigt, et. al., 2018.To replicate the results shown use the following parameters:<br>Under Settings set File Format to Bruker Flexset Concentration unit to µMset Normalization/re-calibration <i>m/z</i> to 760.5851 (PC(34:1) [M+H]+)set recalibration tolerance to 0.1 Daset normalization to TICactivate smoothing and baseline removalset Aggregation method to meanset SNR to 3set alignment to 0 mDa (no alignment)set binning tolerance to 100 ppmselect the folder curve inside the .zip file, it should contain more folders with concentrations as names, make sure no other files/folders are present.The target <i>m/z</i> is 826.5722 (PC(36:1) [M+K]+) and <i>m/z</i> 616.1767 (Heme B [M+H]+) the pIC50 values should be 9.5 and 9.7.
DOI: 10.5281/zenodo.14042021
title: Production of Marine Shrimp Integrated with Tilapia at High Densities and in a Biofloc System: Choosing the Best Spatial Configuration

description: Dataset with experimental results.
DOI: 10.5281/zenodo.14042022
title: Production of Marine Shrimp Integrated with Tilapia at High Densities and in a Biofloc System: Choosing the Best Spatial Configuration

description: Dataset with experimental results.
DOI: 10.15468/dl.8sxzcq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jankaea heldreichii (Boiss.) Boiss.",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026783-241024112534372/datasets/export for details.
DOI: 10.15468/dl.esgvnj
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colletidae",
 "BasisOfRecord is one of (Occurrence evidence)",
 "Country is one of (Argentina, Aruba, Bolivia (Plurinational State of), Brazil, Chile, Colombia, Cuba, Dominican Republic, Ecuador, Falkland Islands (Malvinas), French Guiana, Guyana, Haiti, Paraguay, Peru, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Uruguay, Venezuela (Bolivarian Republic of), Anguilla, Antigua and Barbuda, Bahamas, Barbados, Virgin Islands (British), Cayman Islands, Dominica, Dominican Republic, Grenada, Guadeloupe, Jamaica, Martinique, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Trinidad and Tobago, Turks and Caicos Islands)"
 ]
}

 The dataset includes 72 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026785-241024112534372/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.24321319
title: Geospatial data files for the historical distribution of Ostrea edulis reefs in Europe

description: This database contains shapefiles of estimated locations of historical Ostrea edulis oyster reef habitats (file names starting with ‘01’). These data were collected from diverse historical records, as outlined in the publications cited below.These data form part of the data collection "Historical distribution and habitat characteristics of Ostrea edulis reefs in Europe" 10.6084/m9.figshare.c.6884167which is the supporting data for the publications:https://doi.org/10.32942/X20W43https://doi.org/10.32942/X28C99The collection also includes:1. Location and descriptive data pertaining to historical records of the <i>Ostrea edulis</i> reef ecosystem: 10.6084/m9.figshare.243287682. Geospatial data resulting from the digitizing of the historical map collection Joubin L, Guérin-Ganivet J (2009). Cartes des gisements de coquilles comestibles des côtes de France. Ifremer. https://doi.org/10.12770/c502ed30-0d7d-11de-a4b1-000086f6a603Spatial data accessible at: 10.6084/m9.figshare.24328783<br>This database contains shapefiles of oyster habitat locations (file names starting with ‘01’).
DOI: 10.6084/m9.figshare.24328783
title: Digitized historical map collection: Joubin L, Guérin-Ganivet J (2009). Cartes des gisements de coquilles comestibles des côtes de France. Ifremer.

description: The collection includes geospatial data files resulting from digitizing the historical map collection: Joubin L, Guérin-Ganivet J (2009). Cartes des gisements de coquilles comestibles des côtes de France. Ifremer. https://doi.org/10.12770/c502ed30-0d7d-11de-a4b1-000086f6a603
DOI: 10.5281/zenodo.6006663
title: Cyprus Elevations 5m (2014)

description: This dataset contains a TIF file for Cyprus elevations. The file comes to merge all small areas TIF files from the Department of Lands and Surveys and relates to altitude data. The digital terrain model is a homogeneous and regular point grid, which shows altitude on the ground, to create a model of the earth's surface.Source: https://bit.ly/3ovUhny
DOI: 10.5281/zenodo.6006664
title: Cyprus Elevations 5m (2014)

description: This dataset contains a TIF file for Cyprus elevations. The file comes to merge all small areas TIF files from the Department of Lands and Surveys and relates to altitude data. The digital terrain model is a homogeneous and regular point grid, which shows altitude on the ground, to create a model of the earth's surface.Source: https://bit.ly/3ovUhny
DOI: 10.15468/dl.tngp2z
title: Occurrence Download

description: A dataset containing 4487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton amplifolius Tuck."
 ]
}

 The dataset includes 4487 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026784-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5gctg
title: Occurrence Download

description: A dataset containing 51469 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is Ziziphus Mill."
 ]
}

 The dataset includes 51469 records from 656 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026772-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176562.10fu
title: SH0176562.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0176563.10fu
title: SH0176563.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0176564.10fu
title: SH0176564.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0176565.10fu
title: SH0176565.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0176566.10fu
title: SH0176566.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0176567.10fu
title: SH0176567.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.3uc32v
title: Occurrence Download

description: A dataset containing 7919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence, Living Specimen)",
 "Continent is North America",
 "Geometry POLYGON((-93.0653 47.809,-98.06792 40.52321,-97.61363 32.53545,-93.0653 27.68662,-77.88396 23.72284,-57.42215 45.85245,-67.103 52.32386,-93.0653 47.809))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calycanthus floridus"
 ]
}

 The dataset includes 7919 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001568-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176568.10fu
title: SH0176568.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0176569.10fu
title: SH0176569.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.57745/awusfi
title: abiotic_data.csv

description: Values of temperature (°C), salinity, oxygen conentration (mg/L) and conductivity (mS/cm) measured at the 4 sites of Ile Nouvelle (Gironde estuary) and in the downstream estuary (in Royan) and its watershed (in Dordogne and Garonne rivers) in 2019 and 2021.
DOI: 10.57745/ylvxkd
title: isotopic_data.csv

description: Isotopic ratios (δ13C = d13C_d12C ; δ15N = d15N_d14N) and proportion of carbon (percent_C) and nitrogen (percent_N) analysed in multiple samples from diverse aquatic and riparian trophic groups at Ile Nouvelle (Gironde estuary) in 2019 and 2021.
DOI: 10.57745/gg6ojz
title: fish_length_data.csv

description: Values of body lengths (in cm ; standard length for Perciformes and Clupeiformes ; total length for Anguilliformes) and biomass (g) for all fish species sampled at Ile Nouvelle (Gironde estuary) in 2019 and 2021.
DOI: 10.5281/zenodo.15041471
title: Mars Planetary Climate Model (MPCM) simulations during higher spin-axis obliquity periods

description: MPCM output used for the Figures in the paper "Increased Hydrogen escape from Mars atmosphere  during periods of high obliquity" accepted on Nature Astronomy.



FIgure 1 uses netcdf files called "concat_PhiH*nc" containing the H-escape rate (s-1) simulated for the corresponding Mars Years:




concat_PhiH_MY28.nc, concat_PhiH_MY32.nc, concat_PhiH_MY33.nc


 

  2.  Figure 2 uses netcdf files called "concat3my*nc" containing the simulations for the reference simulation, for obliquity 30º and obliquity 35º, and corresponding start files:



H-escape rate (s-1): concat3my_ref_PhiH.nc, concat3my_obl30_PhiH.nc, concat3my_obl35_PhiH.nc


  3. Figure 3 uses netcdf files called "concat3my*nc" containing the simulations for the reference simulation, for obliquity 30º and obliquity 35º



Temperature (K) and water vapour density (cm-3): concat3my_ref_temp_h2o.nc, concat3my_obl30_temp_h2o.nc, concat3my_obl35_temp_h2o.nc


 

EXTENDED DATA:



Figure 1 uses the  netcdf files called "concat_PhiH*nc" containing the H-escape rate for:  the  simulation without microphisics and without extended ion reactions (concat_PhiH_nomicro_noh2oplus.nc), the  simulation including the H2O microphysical model but not the H2O-ion photochemistry (concat_PhiH_noh2oplus.nc), a simulation including the both the H2O microphysical model and the extended H2O ionospheric reactions (concat_PhiH_ref.nc)

Figure 2 uses the  netcdf files called:

Figure 3 uses the  netcdf files called: concat_PhiH_MY25.nc, concat_PhiH_MY28.nc and concat_PhiH_MY34.nc (without Global Dust Storm), and concat_PhiH_MY25_dustclim.nc, concat_PhiH_MY28_dustclim.nc and concat_PhiH_MY34_dustclim.nc (with GDS)