cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zos8zg
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Guyana",
 "HasCoordinate is true",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 94 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008348-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzdrnt
title: Occurrence Download

description: A dataset containing 7685246 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((163.76221 -53.72314,179.7583 -53.72314,179.7583 -32.89307,163.76221 -32.89307,163.76221 -53.72314))"
 ]
}

 The dataset includes 7685246 records from 722 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134172-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptr5xv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonium dichotomum (Cav.) Kuntze",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130325-240321170329656/datasets/export for details.
DOI: 10.15468/dl.ntmg7u
title: Occurrence Download

description: A dataset containing 168616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis Linnaeus, 1758"
 ]
}

 The dataset includes 168616 records from 454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008348-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsztb6
title: Occurrence Download

description: A dataset containing 1383913 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Korea (Democratic People’s Republic of)",
 "Country is Korea, Republic of"
 ]
 },
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1383913 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004747-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxcc9m
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-97.86947 17.11189,-97.87462 17.10297,-97.86741 17.09404,-97.86673 17.08855,-97.86604 17.07825,-97.86364 17.06829,-97.85299 17.06932,-97.84304 17.0731,-97.83892 17.09164,-97.83789 17.10674,-97.85093 17.11704,-97.87085 17.11601,-97.86947 17.11189))"
 ]
}

 The dataset includes 132 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004900-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a37xhu
title: Occurrence Download

description: A dataset containing 11046 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Oregon Bee Atlas Survey Data: 2018"
 ]
}

 The dataset includes 11046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159092-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrzauk
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrozamia moorei F.Muell."
 ]
}

 The dataset includes 182 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004747-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9r8bh
title: Occurrence Download

description: A dataset containing 7108 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is France",
 "Country is Portugal",
 "Country is Andorra",
 "Country is Belgium",
 "Country is Switzerland",
 "Country is Italy"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aphodius Hellwig, 1798"
 ]
}

 The dataset includes 7108 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051158-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ew7azy
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyphostemma njegerre (Gilg) Desc."
 ]
}

 The dataset includes 22 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159102-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47akz9
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal",
 "Country is France",
 "Country is Italy",
 "Country is Andorra",
 "Country is Belgium",
 "Country is Switzerland"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllognathus Eschscholtz, 1830"
 ]
}

 The dataset includes 277 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051150-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7meqdh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus borealis Kirby, 1837",
 "Geometry POLYGON((-169.101562 71.469124,-169.101562 56.656226,-140.976562 56.656226,-140.976562 71.469124,-169.101562 71.469124))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004747-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ashyaf
title: Occurrence Download

description: A dataset containing 9121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agapostemon virescens (Fabricius, 1775)"
 ]
}

 The dataset includes 9121 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004747-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx2zqy
title: Occurrence Download

description: A dataset containing 46508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Calidris acuminata (Horsfield, 1821)",
 "Year 2000-2023"
 ]
}

 The dataset includes 46508 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159113-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbm6fu
title: Occurrence Download

description: A dataset containing 3084232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer L., Aesculus L., Alnus Mill.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3084232 records from 1925 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078796-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5k2wq
title: Occurrence Download

description: A dataset containing 12467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus planirostris"
 ]
}

 The dataset includes 12467 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021560-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238554v1-192314
title: CDC - National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates

description: <b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC.<br><br><br><b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint.<br><br>ED data are displayed as rates.<br><br>* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits. The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population.<br><br>* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000.<br><br><br><br><b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends.<br><br><br><b>For additional information, please see</b>: Mental Health Data Sources.<br><br>Updated monthly.
DOI: 10.3886/e238554v1-192315
title: CDC - National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates

description: <b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC.<br><br><br><b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint.<br><br>ED data are displayed as rates.<br><br>* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits. The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population.<br><br>* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000.<br><br><br><br><b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends.<br><br><br><b>For additional information, please see</b>: Mental Health Data Sources.<br><br>Updated monthly.
DOI: 10.5281/zenodo.17784942
title: Neutron powder diffraction data of solid Propane collected in 2 K steps between 9.5 - 77.5 K

description: Neutron powder diffraction data collected from a condensed sample of propane (C3H8) with the Wombat high-intensity neutron diffraction instrument located at the OPAL reactor, Sydney, Australia.  Data were collected at a wavelength of 2.422 Å.    

The files ending in .nx.hdf are raw data files conforming to the NeXus standard (see nexusformat.org). The files ending in .xye are three-column ASCII reduced data derived from the corresponding raw data NeXus file, with the columns being angle, intensity and standard uncertainty of that intensity. To obtain the reduced data from the raw data each pixel was multiplied by the corresponding value in the efficiency map contained in file 'eff_2025_02_27.gumtree.hdf’ after which all pixels at each angle were summed vertically and the final values output. As the sample contained a strong incoherent scatterer (hydrogen), additional steps were taken in data collection/reduction to alleviate the high background – known as gain re-refinement.  For each temperature 8 frames of data were collected by stepping the detector by the pixel spacing, 0.125◦, which resulting in multiple measurements of the same signal at each angle after vertical summation. Scale factors for each column of vertical pixels are then refined using the procedure of Ford and Rollett (DOI 10.1107/s0567740868002190).  This has been implemented on the Wombat instrument using the same underlying code described the Echidna instrument (DOI 10.1107/S1600576718014048), which should be referred to for details of the mathematics involved for this gain re-refinement.  The detector/x_pixel_angular_offset raw data file entry gives the angular boundaries of each detector pixel. These values were used to derive pixel centres, which were then added to sample/azimuthal_angle to give the final angular values found in the reduced data file.

Neutron powder diffraction data was collected in targeted 2 K steps, with the sample allowed to equilibrate after each temperature change.  Please note the set temperatures recorded in the file names do not reflect the measured sample temperature – this can be extracted from each raw data file at the sample/tc2/sensor/sensorValueA data entry.  (For instance reduced data file WBT0102742_C3H8_10_K.xye was collected at a measured temperature of 9.5 K)
DOI: 10.5281/zenodo.17784941
title: Neutron powder diffraction data of solid Propane collected in 2 K steps between 9.5 - 77.5 K

description: Neutron powder diffraction data collected from a condensed sample of propane (C3H8) with the Wombat high-intensity neutron diffraction instrument located at the OPAL reactor, Sydney, Australia.  Data were collected at a wavelength of 2.422 Å.    

The files ending in .nx.hdf are raw data files conforming to the NeXus standard (see nexusformat.org). The files ending in .xye are three-column ASCII reduced data derived from the corresponding raw data NeXus file, with the columns being angle, intensity and standard uncertainty of that intensity. To obtain the reduced data from the raw data each pixel was multiplied by the corresponding value in the efficiency map contained in file 'eff_2025_02_27.gumtree.hdf’ after which all pixels at each angle were summed vertically and the final values output. As the sample contained a strong incoherent scatterer (hydrogen), additional steps were taken in data collection/reduction to alleviate the high background – known as gain re-refinement.  For each temperature 8 frames of data were collected by stepping the detector by the pixel spacing, 0.125◦, which resulting in multiple measurements of the same signal at each angle after vertical summation. Scale factors for each column of vertical pixels are then refined using the procedure of Ford and Rollett (DOI 10.1107/s0567740868002190).  This has been implemented on the Wombat instrument using the same underlying code described the Echidna instrument (DOI 10.1107/S1600576718014048), which should be referred to for details of the mathematics involved for this gain re-refinement.  The detector/x_pixel_angular_offset raw data file entry gives the angular boundaries of each detector pixel. These values were used to derive pixel centres, which were then added to sample/azimuthal_angle to give the final angular values found in the reduced data file.

Neutron powder diffraction data was collected in targeted 2 K steps, with the sample allowed to equilibrate after each temperature change.  Please note the set temperatures recorded in the file names do not reflect the measured sample temperature – this can be extracted from each raw data file at the sample/tc2/sensor/sensorValueA data entry.  (For instance reduced data file WBT0102742_C3H8_10_K.xye was collected at a measured temperature of 9.5 K)
DOI: 10.5281/zenodo.17785004
title: Public profiles and attributions made on Bionomia.

description: Public profiles and claims or attributions of natural history specimens made for collectors and determiners on Bionomia, https://bionomia.net using data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.15468/dl.atkwgj
title: Occurrence Download

description: A dataset containing 2416380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "Country is Papua New Guinea"
 ]
}

 The dataset includes 2416380 records from 1431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021553-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/va15-a304
title: "mmWave Pose Estimation"

description: "A dataset of 7397 frames of millimeter wave radar point cloud for 12 different actions of a person, along with labels for 19 human joint points obtained from the depth camera point cloud and Microsoft Kinect SDK."
DOI: 10.6084/m9.figshare.28678325.v2
title: Supplement: Post-ER proteolysis by K48-ubiquitin-activated proteases

description: Polyubiquitin chains, linked through K48 or K63 of ubiquitin, target membrane proteins in the secretory system to degradative pathways. Whether these linkage isomers are functionally interchangeable is unclear. Here, we show that for post-endoplasmic reticulum (ER) proteins, K63-linked polyubiquitination induces multivesicular bodies (MVBs) sorting and lysosomal degradation. In contrast, K48-linked polyubiquitination induces shearing from the membrane. Substrates are cleaved by the proteasome and by two ubiquitin-activated proteases: Ddi1, a conserved cytosolic ubiquilin that generates cytosolic fragments, and Rbd2, an intramembrane rhomboid protease that produces lumenal fragments. Rbd2 localizes to Golgi/endosomes but also acts on ubiquitinated substrates at the vacuolar membrane. Ddi1’s catalytic core, the HDD-RVP domain, binds ubiquitin directly and is sufficient for ubiquitin-dependent proteolysis. Its activity is amplified by Ddi1’s auxiliary ubiquitin binding domains: an atypical UBL domain and a UBA domain. These findings demonstrate that polyubiquitin chains linked by different residues encode distinct degradative fates for post-ER proteins, and reveals two proteases that target ubiquitinated integral membrane cargo.
DOI: 10.15468/dl.z2g4p8
title: Occurrence Download

description: A dataset containing 33949 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didelphis marsupialis"
 ]
}

 The dataset includes 33949 records from 609 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021561-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctqufg
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.34991 4.53041,-74.72944 4.72951,-74.97913 4.43084,-74.5996 4.10216,-74.34991 4.53041))",
 "TaxonKey is Pitangus sulphuratus (Linnaeus, 1766)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 498 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000071-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btgtef
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astragalus sulcatus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001066-150330110031120/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcsyp7
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium calcaratum A.Rich."
 ]
}

 The dataset includes 72 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168705-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.