cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2dsq2v
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Megophrys gerti (Ohler, 2003)"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045037-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gepqmg
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sylvilagus obscurus Chapman, Cramer, Deppenaar & Robinson, 1992",
 "Geometry POLYGON((-88.154296 41.771311,-88.154296 32.324275,-71.455078 32.324275,-71.455078 41.771311,-88.154296 41.771311))"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010110-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvbsv3
title: Occurrence Download

description: A dataset containing 63940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor canadensis Kuhl, 1820",
 "Year 2014-2024"
 ]
}

 The dataset includes 63940 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033324-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amh4gk
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crassula cultrata L."
 ]
}

 The dataset includes 506 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009966-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ds7sry
title: Occurrence Download

description: A dataset containing 321626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla anserina L."
 ]
}

 The dataset includes 321626 records from 804 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045030-240229165702484/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.28817507
title: data for robust SAE with gamma divergence

description: The data is primarily used for the article <i>'Robust Empirical Bayes Small Area Estimation with gamma- Divergence.'</i> The simulated data was generated by R software based on the model assumptions, while the actual milk consumption data comes from datasets used by Arora and Lahiri (1997) and You and Chapman (2006) in their small area estimation studies.
DOI: 10.5281/zenodo.12608877
title: Acid-Base Dissociation Constants for Uncharged Acids in Selected Dipolar non-Hydrogen-Bond-Donor Solvents

description: This compilation includes more than 9000 pKa values determined in seven dipolar non-hydrogen-bond-donor solvents (dimethyl sulfoxide, acetonitrile, N,N-dimethylformamide, pyridine, acetone, propylene carbonate, tetrahydrofuran) for close to 5000 acids collected from around 800 original works published during the last sixty years. The data have been critically evaluated on the basis of defined quality criteria and depending on situation, kept as they were originally published, marked as doubtful/unreliable (2600 values) or corrected (around 2500 values).

To enable automated processing and mining, the data are presented as an XLSX file, together with structural codes, compound class qualifiers and comments.

All citations should refer to the manuscript: 



Ivo Leito, Ivari Kaljurand, Mare Piirsalu, Sofja Tshepelevitsh, Jonathan Wenyuan Zheng, Martí Rosés, Jean-François Gal. Acid-Base Dissociation Constants for Uncharged Acids in Selected Dipolar non-Hydrogen-Bond-Donor Solvents. Pure Appl Chem. Submitted in 2024.


All citations should correspond to the article that will be published in Pure and Applied Chemistry. Until the publication is available, citations to this repository are also acceptable:



Leito, I., Kaljurand, I., Piirsalu, M., Tshepelevitsh, S., Zheng, J., Roses, M., & Gal, J.-F. (2024). Acid-Base Dissociation Constants for Uncharged Acids in Selected Dipolar non-Hydrogen-Bond-Donor Solvents. Access at https://zenodo.org/records/12608877.
DOI: 10.5281/zenodo.14502675
title: Acid dissociation constants in selected dipolar non-hydrogen-bond-donor solvents

description: This compilation includes more than 9000 pKa values determined in seven dipolar non-hydrogen-bond-donor solvents (dimethyl sulfoxide, acetonitrile, N,N-dimethylformamide, pyridine, acetone, propylene carbonate, tetrahydrofuran) for close to 5000 acids collected from around 800 original works published during the last sixty years. The data have been critically evaluated on the basis of defined quality criteria and depending on situation, kept as they were originally published, marked as doubtful/unreliable (2600 values) or corrected (around 2500 values).

To enable automated processing and mining, the data are presented as an XLSX file, together with structural codes, compound class qualifiers and comments.

All citations should refer to the manuscript: 



Ivo Leito, Ivari Kaljurand, Mare Piirsalu, Sofja Tshepelevitsh, Jonathan Wenyuan Zheng, Martí Rosés, Jean-François Gal. Acid Dissociation Constants in Selected Dipolar non-Hydrogen-Bond-Donor Solvents. Pure Appl Chem. Submitted in 2024.


All citations should correspond to the article that will be published in Pure and Applied Chemistry. Until the publication is available, citations to this repository are also acceptable:



Leito, I., Kaljurand, I., Piirsalu, M., Tshepelevitsh, S., Zheng, J., Roses, M., & Gal, J.-F. (2024). Acid Dissociation Constants in Selected Dipolar non-Hydrogen-Bond-Donor Solvents. Access at https://zenodo.org/records/12608877.


Note: The pKa_Dictionary.xlsx includes thousands of embedded image files, which may cause the file to load slowly on some software/device combinations. For best results, we recommend opening the file using Microsoft Excel or LibreOffice Calc.
DOI: 10.5281/zenodo.14826175
title: Acid dissociation constants in selected dipolar non-hydrogen-bond-donor solvents

description: This compilation includes more than 9000 pKa values determined in seven dipolar non-hydrogen-bond-donor solvents (dimethyl sulfoxide, acetonitrile, N,N-dimethylformamide, pyridine, acetone, propylene carbonate, tetrahydrofuran) for close to 5000 acids collected from around 800 original works published during the last sixty years. The data have been critically evaluated on the basis of defined quality criteria and depending on situation, kept as they were originally published, marked as doubtful/unreliable (2600 values) or corrected (around 2500 values).

To enable automated processing and mining, the data are presented as an XLSX file, together with structural codes, compound class qualifiers and comments.

All citations should refer to the manuscript: 



Ivo Leito, Ivari Kaljurand, Mare Piirsalu, Sofja Tshepelevitsh, Jonathan Wenyuan Zheng, Martí Rosés, Jean-François Gal. Acid Dissociation Constants in Selected Dipolar non-Hydrogen-Bond-Donor Solvents. Pure Appl Chem. Submitted in 2024.


All citations should correspond to the article that will be published in Pure and Applied Chemistry. Until the publication is available, citations to this repository are also acceptable:



Leito, I., Kaljurand, I., Piirsalu, M., Tshepelevitsh, S., Zheng, J., Roses, M., & Gal, J.-F. (2024). Acid Dissociation Constants in Selected Dipolar non-Hydrogen-Bond-Donor Solvents. Access at https://zenodo.org/records/12608877.
description: The pKa_Dictionary.xlsx includes thousands of embedded image files, which may cause the file to load slowly on some software/device combinations. For best results, we recommend opening the file using Microsoft Excel or LibreOffice Calc.
DOI: 10.15468/dl.e8u9c6
title: Occurrence Download

description: A dataset listing the 97 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "TaxonKey is Cyclostomatida"
 ]
}

 The dataset's 97 records were derived from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021126-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5440/1170517
title: CT Scans of Cores Metadata, Utqiagvik (Barrow), Alaska, 2015

description: Individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, throughout 2013 and 2014. Cores were drilled along different transects to sample polygonal features (i.e. the trough, center and rim of high, transitional and low center polygons). Most cores were drilled around 1 meter in depth and a few deep cores were drilled around 3 meters in depth. Three-dimensional images of the frozen cores were constructed using a medical X-ray computed tomography (CT) scanner. TIFF files can be uploaded to ImageJ (an open-source imaging software) to examine soil structure and soil densities within each core.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1437046
title: NGEE Arctic, Canopy Spectral Reflectance, Utqiagvik (Barrow), Alaska, 2014-2016

description: Measurements of full-spectrum (i.e. 350-2500 nm) canopy spectral reflectance of Arctic plant species within the BEO, Barrow, Alaska. Spectra were collected using Spectra Vista Corporation (SVC) HR-2014i and Spectral Evolution (SE) PSR+ instruments mounted on a tripod or monopod together with a Spectralon white plate to calibrate each measurement under variable illumination conditions. Data were collected in Utqiagvik (Barrow), Alaska during the 2014 to 2016 period. Data package includes processed spectra (*.csv) files and original instrument output and processing files (*.zip).The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1907397
title: TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring: Supporting Data

description: This dataset was used to assess the performance of a compression algorithm for Soil Deformation and Temperature Monitoring data. The development of this technology is presented in the article named time division duplex (TDD) "TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring" and published in Springer's Journal on Signal Processing Systems. [Time Division Duplex (TDD); Long Range (LoRa)]Field experiment data includes: 1) soil temperature measurements, 2) snow temperature data, 3) soil temperature and deformation data. In these files, the first column contains the time (UTC), followed by the sensor's battery voltage and temperature and acceleration values (X, Y, Z) in subsequent columns. The measurements were acquired every 15 minutes. Lists included for probe, datalogger, and packaging components. The two temperature data sets were acquired at a site at the East River Watershed, Colorado, while the temperature/deformation data were collected at the Teller Road (mile 27) site near Nome, Alaska. The package includes 8 comma-separated files (.csv) and one .pdf file.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.3cnydy
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6_1",
 "TaxonKey is Mauremys mutica (Cantor, 1842)"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021130-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n9p2h
title: Occurrence Download

description: A dataset containing 35773291 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Brazil"
 ]
}

 The dataset includes 35773291 records from 4291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021129-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2enph7
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leontodon autumnalis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028014-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nbx5s
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leontodon autumnalis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028015-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjyuyx
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Adromischus maculatus)"
 ]
}

 The dataset includes 227 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028016-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rart6t
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asplenium polyodon",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028017-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-d9fj-ga28
title: Crisis Cleanup: July 4th Central Texas Floods 60-Day Volunteer Cleanup Report (Jul. 6, 2025–Sep. 4, 2025)

description: [287_1_7 CTX Flood] This report documents how voluntary (VOAD) organizations help their communities clean up after disasters. It quantifies 7417601 of volunteer services to communities between July 06, 2025–September 04, 2025, saving survivors many multiples of that amount and jump-starting long-term recovery. It quantifies the work of 157 dedicated voluntary organizations that help neighbors in 13 individual county reports in 1 states. It is a 60-day snapshot of property cleanup documented by relief organizations through crisiscleanup.org. It covers 609 requests for cleanup, and compares this incident with 94 other similar incidents coordinated by Crisis Cleanup in 13 years. It includes data for the following municipalities: Burnet County, TX (5 cases); Concho County, TX (2 cases); Guadalupe County, TX (14 cases); Kerr County, TX (147 cases); Kimble County, TX (2 cases); McCulloch County, TX (9 cases); Tom Green County, TX (242 cases); Travis County, TX (150 cases); Williamson County, TX (40 cases); Austin, TX (2 cases); Brady, TX (7 cases); Burnet, TX (2 cases); Georgetown, TX (3 cases); Grape Creek, TX (10 cases); Ingram, TX (3 cases); Jonestown, TX (12 cases); Kerrville, TX (36 cases); San Angelo, TX (197 cases); Seguin, TX (13 cases).
DOI: 10.15468/dl.p39tns
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Aesculus discolor)"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028018-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yps7ew
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leontodon hispidus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028019-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssnzdb
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('OBSERVATION', 'MACHINE_OBSERVATION', 'HUMAN_OBSERVATION')
 AND occurrence.countrycode = 'ID'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 7279683 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 7279683 OR CAST(occurrence.kingdomkey AS INTEGER) = 7279683 OR CAST(occurrence.phylumkey AS INTEGER) = 7279683 OR CAST(occurrence.classkey AS INTEGER) = 7279683 OR CAST(occurrence.orderkey AS INTEGER) = 7279683 OR CAST(occurrence.familykey AS INTEGER) = 7279683 OR CAST(occurrence.genuskey AS INTEGER) = 7279683 OR CAST(occurrence.specieskey AS INTEGER) = 7279683)
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028002-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.