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

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanzosaura Rodrigues, 1991"
 ]
}

 The dataset includes 383 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002739-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs8lxc
title: Occurrence Download

description: A dataset containing 180654 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrola L."
 ]
}

 The dataset includes 180654 records from 485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002733-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/fco8rf
title: Dataset related to the "Geochemical Atlas of Stream sediment samples from South and West Greenland"

description: This data set contains analyses from stream sediment geochemical mapping of West and South Greenland (Steenfelt, 2001a). Stream sediment samples were collected from 1979 to 1998 with as even coverage as possible from low-order streams and with a sampling density between 1 sample per 5 km2 and 1 sample per 50 km2, mostly around 1 sample per 30 km2. With few exceptions, the 0.1 mm grain size fractions of 500-g samples were analysed for major and trace elements by two or three methods. After careful quality control and elimination of bias between analytical values determined by different methods or at different times (calibration), the most reliable analytical data were selected as the final consistent dataset, containing data from 7122 samples analysed for up to 43 elements (see Steenfelt 1999, 2001b for details on data selection and calibration).
DOI: 10.6084/m9.figshare.26363686
title: Figure 4 - tlcA phylogeny

description: Files for a phylogeny of the amino acid sequences of the NTT type ADP/ATP translocase tlcaA. The sequences included were obtained from the Genome Taxonomy Database (GTDB) and the genomic catalog of earth's microbiomes (GEM).<br><br>references:<br>GTDB:<br>https://academic.oup.com/nar/article/50/D1/D785/6370255 & https://gtdb.ecogenomic.org/<br>GEM:<br>https://www.nature.com/articles/s41587-020-0718-6 & https://genome.jgi.doe.gov/portal/GEMs/GEMs.home.html
DOI: 10.6084/m9.figshare.26363686.v1
title: Figure 4 - tlcA phylogeny

description: Files for a phylogeny of the amino acid sequences of the NTT type ADP/ATP translocase tlcaA. The sequences included were obtained from the Genome Taxonomy Database (GTDB) and the genomic catalog of earth's microbiomes (GEM).<br><br>references:<br>GTDB:<br>https://academic.oup.com/nar/article/50/D1/D785/6370255 & https://gtdb.ecogenomic.org/<br>GEM:<br>https://www.nature.com/articles/s41587-020-0718-6 & https://genome.jgi.doe.gov/portal/GEMs/GEMs.home.html
DOI: 10.5281/zenodo.12806268
title: Population average atlas for RecobundlesX (BundleSeg) - TractSeg Definitions

description: Multi-atlas bundle segmentation

This data is made to be used with the following script:https://github.com/scilus/scilpy/blob/master/scripts/scil_tractogram_segment_with_bundleseg.py



Etienne St-Onge, Kurt Schilling, Francois Rheault, "BundleSeg: A versatile, reliable and reproducible approach to whitte matter bundle segmentation.", arXiv, 2308.10958 (2023)Rheault, François. "Analyse et reconstruction de faisceaux de la matière blanche." Computer Science (Université de Sherbrooke) (2020), https://savoirs.usherbrooke.ca/handle/11143/17255


UsageHere is an example (for more details use `scil_tractogram_segment_with_bundleseg.py -h`) :

antsRegistrationSyNQuick.sh -d 3 -f ${T1} -m mni_masked.nii.gz -t a -n 4scil_tractogram_segment_with_bundleseg.py ${TRACTOGRAM} config_fss_1.json atlas/ output0GenericAffine.mat --out_dir ${OUTPUT_DIR}/ --log_level DEBUG --processes 8 --seeds 0 --inverse -f

To facilitate interpretation, all endpoints were uniformized head/tail. To see, which side of a bundle is head or tail, you can load the atlas bundle into the software MI-Brain https://github.com/imeka/mi-brain

(If you are processing multiple subjects, this pipeline could be useful for you https://github.com/scilus/rbx_flow)

Notes on bundles- The bundles follow the overall anatomical definition of TractSeg (initially from TractQuerier) but are a heavily processed union to discard false positives, outliers, unrealistic paths, etc.- CG has 3 possible endpoint locations. However, the full extent of the tail is difficult to track - The cerebellum is often cut due to acquisition FOV. In such a case, all projection bundles will be more difficult to recognize and most cerebellum bundles will be missing (ICP, MCP, SCP).- All the bundles starting with T_ (Thalamo) or ST_ (Striato) are based on region of interest, and are not usually part of classical major pathways.
DOI: 10.5281/zenodo.12572020
title: Population average atlas for RecobundlesX (BundleSeg) - TractSeg Definitions

description: Multi-atlas bundle segmentation

This data is made to be used with the following script:https://github.com/scilus/scilpy/blob/master/scripts/scil_tractogram_segment_with_bundleseg.py



Etienne St-Onge, Kurt Schilling, Francois Rheault, "BundleSeg: A versatile, reliable and reproducible approach to whitte matter bundle segmentation.", arXiv, 2308.10958 (2023)Rheault, François. "Analyse et reconstruction de faisceaux de la matière blanche." Computer Science (Université de Sherbrooke) (2020), https://savoirs.usherbrooke.ca/handle/11143/17255


UsageHere is an example (for more details use `scil_tractogram_segment_with_bundleseg.py -h`) :

antsRegistrationSyNQuick.sh -d 3 -f ${T1} -m mni_masked.nii.gz -t a -n 4scil_tractogram_segment_with_bundleseg.py ${TRACTOGRAM} config_fss_1.json atlas/ output0GenericAffine.mat --out_dir ${OUTPUT_DIR}/ --log_level DEBUG --processes 8 --seeds 0 --inverse -f

To facilitate interpretation, all endpoints were uniformized head/tail. To see, which side of a bundle is head or tail, you can load the atlas bundle into the software MI-Brain https://github.com/imeka/mi-brain

(If you are processing multiple subjects, this pipeline could be useful for you https://github.com/scilus/rbx_flow)

Notes on bundles- The bundles follow the overall anatomical definition of TractSeg (initially from TractQuerier) but are a heavily processed union to discard false positives, outliers, unrealistic paths, etc.- CG has 3 possible endpoint locations. However, the full extent of the tail is difficult to track - The cerebellum is often cut due to acquisition FOV. In such a case, all projection bundles will be more difficult to recognize and most cerebellum bundles will be missing (ICP, MCP, SCP).- All the bundles starting with T_ (Thalamo) or ST_ (Striato) are based on region of interest, and are not usually part of classical major pathways.
DOI: 10.5281/zenodo.12572021
title: Population average atlas for RecobundlesX (BundleSeg) - TractSeg Definitions

description: Multi-atlas bundle segmentation

This data is made to be used with the following script:https://github.com/scilus/scilpy/blob/master/scripts/scil_tractogram_segment_with_bundleseg.py



Etienne St-Onge, Kurt Schilling, Francois Rheault, "BundleSeg: A versatile, reliable and reproducible approach to whitte matter bundle segmentation.", arXiv, 2308.10958 (2023)Rheault, François. "Analyse et reconstruction de faisceaux de la matière blanche." Computer Science (Université de Sherbrooke) (2020), https://savoirs.usherbrooke.ca/handle/11143/17255


UsageHere is an example (for more details use `scil_tractogram_segment_with_bundleseg.py -h`) :

antsRegistrationSyNQuick.sh -d 3 -f ${T1} -m mni_masked.nii.gz -t a -n 4scil_tractogram_segment_with_bundleseg.py ${TRACTOGRAM} config_fss_1.json atlas/ output0GenericAffine.mat --out_dir ${OUTPUT_DIR}/ --log_level DEBUG --processes 8 --seeds 0 --inverse -f

To facilitate interpretation, all endpoints were uniformized head/tail. To see, which side of a bundle is head or tail, you can load the atlas bundle into the software MI-Brain https://github.com/imeka/mi-brain

(If you are processing multiple subjects, this pipeline could be useful for you https://github.com/scilus/rbx_flow)

Notes on bundles- The bundles follow the overall anatomical definition of TractSeg (initially from TractQuerier) but are a heavily processed union to discard false positives, outliers, unrealistic paths, etc.- CG has 3 possible endpoint locations. However, the full extent of the tail is difficult to track - The cerebellum is often cut due to acquisition FOV. In such a case, all projection bundles will be more difficult to recognize and most cerebellum bundles will be missing (ICP, MCP, SCP).- All the bundles starting with T_ (Thalamo) or ST_ (Striato) are based on region of interest, and are not usually part of classical major pathways.
DOI: 10.15468/dl.yd35s3
title: Occurrence Download

description: A dataset containing 277118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.80266 42.68823,3.01146 42.68823,3.01146 42.90742,2.80266 42.90742,2.80266 42.68823))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 277118 records from 463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034753-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg2aua
title: Occurrence Download

description: A dataset listing the 71 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isoetaceae",
 {
 "or" : [
 "Country is Canada",
 "Country is United States of America"
 ]
 },
 {
 "or" : [
 "StateProvince is Ontario",
 "StateProvince is Quebec",
 "StateProvince is New Brunswick",
 "StateProvince is Illinois",
 "StateProvince is Indiana",
 "StateProvince is Tennessee",
 "StateProvince is Vermont",
 "StateProvince is Florida",
 "StateProvince is Alabama",
 "StateProvince is Georgia",
 "StateProvince is Lousiana",
 "StateProvince is Mississippi",
 "StateProvince is South Carolina",
 "StateProvince is Connecticut",
 "StateProvince is Kentucky",
 "StateProvince is Massachusetts",
 "StateProvince is Ohio",
 "StateProvince is Rhode Island",
 "StateProvince is Wisconsin",
 "StateProvince is Michigan",
 "StateProvince is Maine",
 "StateProvince is Minnesota",
 "StateProvince is New Hampshire"
 ]
 },
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 71 records were derived from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034751-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10982721
title: CESM2 Mechanically Decoupled (MD) for "Summer westerly wind intensification weakens Southern Ocean seasonal cycle under global warming" - submitted to Geophysical Research Letters

description: CESM2 Experiment names:



MD = mechanically decoupled model (referred to as MD in paper)

FC = fully coupled model (referred to as FC in paper)


Decoding file names:



ensmean refers to ensemble mean

trend refers to linear trend over 1950-2014


Variables:



SST = sea surface temperature

HMXL = mixed layer depth

WSPDSRFAV = horizontal total wind speed average at the surface
DOI: 10.15468/dl.k98euz
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cabo Verde",
 "TaxonKey is Artemisia L."
 ]
}

 The dataset includes 67 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034757-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asyoyu
title: Occurrence Download

description: A dataset containing 3070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barkleyanthus H.Rob. & Brettell"
 ]
}

 The dataset includes 3070 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002743-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.olz0gy
title: Occurrence Download

description: A dataset containing 175648 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zenaida auriculata (Des Murs, 1847)"
 ]
}

 The dataset includes 175648 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002740-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj297h
title: Occurrence Download

description: A dataset containing 43392 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phytoplankton North Adriatic-Gulf of Trieste C1 – LTER time-series from 2010 onwards"
 ]
}

 The dataset includes 43392 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034758-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wprwbg
title: Occurrence Download

description: A dataset containing 1519929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus L."
 ]
}

 The dataset includes 1519929 records from 1537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002730-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15232842
title: BIOTECHNOLOGY FOR ENVIRONMENTAL PROTECTION AND PRESERVATION OF THE ECOLOGICAL SITUATION
DOI: 10.5281/zenodo.15232843
title: BIOTECHNOLOGY FOR ENVIRONMENTAL PROTECTION AND PRESERVATION OF THE ECOLOGICAL SITUATION
DOI: 10.15468/dl.m3yd6g
title: Occurrence Download

description: A dataset containing 60593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Vicia sepium L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 60593 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003742-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68qfer
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum Marshall"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2018",
 "Year is less than or equal to 2020",
 "DecimalLatitude is greater than or equal to 45.2",
 "DecimalLatitude is less than or equal to 62.3",
 "DecimalLongitude is greater than or equal to -77.3",
 "DecimalLongitude is less than or equal to -60.3"
 ]
}

 The dataset includes 639 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212873-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxnnaw
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Poeciliopsis monacha Miller, 1960"
 ]
}

 The dataset includes 71 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000313-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4mpjf
title: Occurrence Download

description: A dataset containing 10220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies pinsapo Boiss."
 ]
}

 The dataset includes 10220 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020393-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpej8b
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caprimulgus europaeus Linnaeus, 1758",
 "Year 1972-2022"
 ]
}

 The dataset includes 82 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279698-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e194887v5
title: ECIN Replication Package for "Whoever you want me to be: personality and incentives"

description: This workspace contains the data and Stata code necessary to replicate, "Whoever you want me to be: personality and incentives," published in Economic Inquiry. The files also include the ztree programs that were used to conduct the experiment.<br><br>Abstract:<br>What can employers learn from personality tests when applicants
have incentives to misrepresent themselves? Using a within-subject, laboratory
experiment, we compare personality measures with and without incentives for
misrepresentation. Incentivized personality measures are weakly to moderately
correlated with non-incentivized measures in all treatments. When test-takers
are given a job ad indicating that an extrovert (introvert) is desired,
extroversion measures are positively (negatively) correlated with IQ. Among
other characteristics, only locus of control appears related to faking on
personality measures. Our findings highlight the identification challenges in
measuring personality and the potential for correlations between incentivized
personality measures and other traits.<br>
description: Undergraduate students at Simon Fraser University in Burnaby, BC, registered with the CRABE laboratory.
DOI: 10.15468/dl.dj5mm2
title: Occurrence Download

description: A dataset containing 270446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 {
 "or" : [
 "Country is Australia",
 "Country is United States of America",
 "Country is Canada",
 "Country is Sweden",
 "Country is Finland",
 "Country is Netherlands",
 "Country is Belgium",
 "Country is New Zealand",
 "Country is France",
 "Country is Germany",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Luxembourg"
 ]
 },
 {
 "or" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Observation.org, Nature data from around the World",
 "DatasetKey is Earth Guardians Weekly Feed",
 "DatasetKey is Xeno-canto - Bird sounds from around the world",
 "DatasetKey is Waterbird counts, Luomus dataset",
 "DatasetKey is All taxa records for Leicestershire and Rutland",
 "DatasetKey is Lajitietokeskus/FinBIF - Notebook, general observations",
 "DatasetKey is naturgucker",
 "DatasetKey is Observations.be - Non-native species occurrences in Wallonia, Belgium",
 "DatasetKey is Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium",
 "DatasetKey is Artportalen (Swedish Species Observation System)",
 "DatasetKey is DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium"
 ]
 },
 "TaxonKey is Branta canadensis (Linnaeus, 1758)",
 "Year 2020-2022"
 ]
}

 The dataset includes 270446 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272689-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv9d69
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptotis alticola (Merriam, 1895)"
 ]
}

 The dataset includes 78 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212884-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82kjnm
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spondylurus nitidus (Garman, 1887)"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276015-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnw2ya
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Letheobia simoni (Boettger, 1879)"
 ]
}

 The dataset includes 24 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276023-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwqk8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sibon linearis Perez-Higareda, Lopez-Luna & Smith, 2002"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279685-210914110416597/datasets/export for details.
DOI: 10.15468/dl.c9yv3m
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhadinaea laureata (Günther, 1868)"
 ]
}

 The dataset includes 153 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281119-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axxt5g
title: Occurrence Download

description: A dataset containing 2438009959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2438009959 records from 52191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016158-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.