cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w4knhb
title: Occurrence Download

description: A dataset containing 119392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galea Mörch, 1852, Gagea Salisb., Galba Schrank, 1803, Galega Tourn. ex L., Galela Distant, 1906, Galera (Fr.) P.Kumm., Galla Ludwig, 1857, Gagea Raddi, Galba Guérin, 1830, Galba Latreille, 1829, Gale Duhamel, Gale Wagner, 1841, Galera Blume, Galera Browne, 1789, Galera C.N.Cate, 1973, Galera Gray, 1842, Galera Herre, 1927, Glaea Blanchard, 1845, Galba Heyden, 1826, Galba Johnston, 1827, Gale Tourn. ex Adans., 1763, Galena Koch, 1845, Galena St.-Lag., Galla L.Lesquereux, 1891, Gallea Walker, 1904, Galta Navás, 1916, Gamea, Glaea Stephens, 1829, Gaea, Ganlea Beard, Marivaux, Chaimanee, Jaeger, Marandat, Tafforeau, Soe, Tun & Kyaw, 2009, Galea Meyen, 1832, Galea D.Maier, 1959, Galea Kristan, 1957, Galea Cuvier, 1817, Galea Meuschen, 1787, Galea Mörch, 1852, Gagea Salisb., Galba Schrank, 1803, Galega Tourn. ex L., Galela Distant, 1906, Galera (Fr.) P.Kumm., Galla Ludwig, 1857, Gagea Raddi, Galba Guérin, 1830, Galba Latreille, 1829, Gale Duhamel, Gale Wagner, 1841, Galera Blume, Galera Browne, 1789, Galera C.N.Cate, 1973, Galera Gray, 1842, Galera Herre, 1927, Glaea Blanchard, 1845, Galba Heyden, 1826, Galba Johnston, 1827, Gale Tourn. ex Adans., 1763, Galena Koch, 1845, Galena St.-Lag., Galla L.Lesquereux, 1891, Gallea Walker, 1904, Galta Navás, 1916, Gamea, Glaea Stephens, 1829, Gaea, Ganlea Beard, Marivaux, Chaimanee, Jaeger, Marandat, Tafforeau, Soe, Tun & Kyaw, 2009, Galemys Kaup, 1829, Galemys Pomel, 1848, Galomys Agassiz, 1846, Galeopterus Thomas, 1908, Galapterus Berlov & Plutenko, 1997, Gauropterus C.G.Thomson, 1860, Glenopterus Heer, 1847, Galictis Bell, 1826, Galictis Geoffroy, 1837, Galictes Bell, 1837, Galietis Brookes, 1828, Gallictis Waterhouse, 1839, Galictis Bell, 1826, Galictis Geoffroy, 1837, Galictes Bell, 1837, Galietis Brookes, 1828, Gallictis Waterhouse, 1839, Gardnerycteris Hurtado & Pacheco, 2014, Gazella Blainville, 1816, Gazella Lichtenstein, 1814, Gazella Pallas, 1769, Gazella Rafinesque, 1815, Gazella Reed, 1894, Gacella Williams, 1962, Gadella Lowe, 1843, Gaiella Albuquerque et al., 2012, Ganella Aurouze & Boulanger, 1954, Garella Walker, 1863, Gayella Spinola, 1851, Gaziella De Clerck & Schockaert, 1995, Gasella Smith, 1827, Gayella Hustache, 1938, Gayella Pierre, Gayella Rosenvinge, 1893, Gazella Blainville, 1816)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 119392 records from 996 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014272-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3myygj
title: Occurrence Download

description: A dataset containing 81522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.049646 46.16362, 6.274231 46.16362, 6.274231 46.23795, 6.049646 46.23795, 6.049646 46.16362))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 81522 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041549-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sft7uf
title: Occurrence Download

description: A dataset containing 17977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.476211 51.2911, 6.692969 51.2911, 6.692969 51.37795, 6.476211 51.37795, 6.476211 51.2911))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 17977 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041550-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13891586
title: Interactive design and validation of antibody panels using single-cell RNA-seq atlases
DOI: 10.5281/zenodo.13891587
title: Interactive design and validation of antibody panels using single-cell RNA-seq atlases
DOI: 10.15468/dl.cfssdt
title: Occurrence Download

description: A dataset containing 1689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-92.7011 28.70087,-88.74474 28.70087,-88.74474 31.00526,-90.94725 30.80689,-92.7011 31.00526,-92.7011 28.70087))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euphagus carolinus (Statius Muller, 1776)"
 ]
}

 The dataset includes 1689 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041552-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3veape
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus irroratus (Forster, 1801)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041553-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11412387
title: Automated grounding line delineation using deep learning and phase gradient-based approaches on COSMO-SkyMed DInSAR data

description: This repository contains the file 'Natalya_Maslennikova_data_2024.zip,' which includes 171 DInSAR interferograms (both phase and coherence of a DInSAR signal) and three versions of the grounding lines: manually mapped ('gl_manual_mapping.shp'), mapped by the neural network ('gl_neural_network.shp'), and mapped using the phase gradient-based approach ('gl_phase_gradient.shp'). The X-band DInSAR data were acquired by the ASI’s COSMO-SkyMed mission between 2020 and 2022 over five East Antarctica glaciers: Stancomb-Wills (STA: 32 interferograms), Veststraumen (VES: 35 interferograms), Jutulstraumen (JUT: 42 interferograms), Moscow University (MOS: 27 interferograms), and Rennick (REN: 35 interferograms).

The 'gl_neural_network.shp' and 'gl_phase_gradient.shp' shapefiles contain the following fields: the name of the glacier (the 'Glacier' column), four dates in YYYYMMDD format when the corresponding DInSAR interferogram was acquired (the 'Primary1', 'Secondary1', 'Primary2', 'Secondary2' columns), and the double difference name in 'Primary1_Secondary1-Primary2_Secondary2' format (the 'DD' column). The 'gl_manual_mapping.shp' shapefile contains 'Glacier', 'Primary1', 'Secondary1', 'Primary2', 'Secondary2', and 'DD' columns as well, along with the 'Revisit' column (difference in days between the 'Primary1' and 'Primary2' images were acquired), the 'Time' column (acquisition time in 'HHMMSS' format), the 'Coherence' column (average coherence of the corresponding DInSAR interferogram), and the 'Train_1', 'Train_2', 'Train_3' columns, which contain indicators 'Y' for 'yes' and 'N' for 'no', showing whether or not the DInSAR interferogram was used in the corresponding training session.
DOI: 10.5281/zenodo.11412388
title: Automated grounding line delineation using deep learning and phase gradient-based approaches on COSMO-SkyMed DInSAR data

description: This repository contains the file 'Natalya_Maslennikova_data_2024.zip,' which includes 171 DInSAR interferograms (both phase and coherence of a DInSAR signal) and three versions of the grounding lines: manually mapped ('gl_manual_mapping.shp'), mapped by the neural network ('gl_neural_network.shp'), and mapped using the phase gradient-based approach ('gl_phase_gradient.shp'). The X-band DInSAR data were acquired by the ASI’s COSMO-SkyMed mission between 2020 and 2022 over five East Antarctica glaciers: Stancomb-Wills (STA: 32 interferograms), Veststraumen (VES: 35 interferograms), Jutulstraumen (JUT: 42 interferograms), Moscow University (MOS: 27 interferograms), and Rennick (REN: 35 interferograms).

The 'gl_neural_network.shp' and 'gl_phase_gradient.shp' shapefiles contain the following fields: the name of the glacier (the 'Glacier' column), four dates in YYYYMMDD format when the corresponding DInSAR interferogram was acquired (the 'Primary1', 'Secondary1', 'Primary2', 'Secondary2' columns), and the double difference name in 'Primary1_Secondary1-Primary2_Secondary2' format (the 'DD' column). The 'gl_manual_mapping.shp' shapefile contains 'Glacier', 'Primary1', 'Secondary1', 'Primary2', 'Secondary2', and 'DD' columns as well, along with the 'Revisit' column (difference in days between the 'Primary1' and 'Primary2' images were acquired), the 'Time' column (acquisition time in 'HHMMSS' format), the 'Coherence' column (average coherence of the corresponding DInSAR interferogram), and the 'Train_1', 'Train_2', 'Train_3' columns, which contain indicators 'Y' for 'yes' and 'N' for 'no', showing whether or not the DInSAR interferogram was used in the corresponding training session.
DOI: 10.15468/dl.9zb9g7
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.859889 6.718676, 4.920163 6.718676, 4.920163 6.799769, 4.859889 6.799769, 4.859889 6.718676))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 70 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041554-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9549228
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.4cb7um
title: Occurrence Download

description: A dataset containing 4500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-124.20851 30.24757,-69.22945 30.24757,-69.22945 49.29906,-125.17225 49.78384,-124.20851 30.24757))",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 4500 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041555-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aprzvx
title: Occurrence Download

description: A dataset listing the 1142 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.21_2",
 "TaxonKey is one of (Ascomycota, Basidiomycota)"
 ]
}

 The dataset's 1142 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041542-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2c2df
title: Occurrence Download

description: A dataset containing 904900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-08-09",
 "EventDate is less than or equal to 2024-09-08",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 904900 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041519-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e209486
title: The Mathematics Motivation an Mathematics Performance: Does Gender Play a Role?

description: Using structural equation modeling a previous study
investigated the
longitudinal relationships of role-related mathematics identity, efficacy and
interest to grade 12 mathematics performance. The results
indicated that both mathematics identity and educational expectations at grade
11 were statistically and substantively significant predictors of grade 12
mathematics achievement in the presence of other factors such as grade 9
mathematics achievement, high school mathematics coursetaking, educational
expectations at grades 9 and 11 as well student and school background
socio-demographic factors. The current study uses multiple group structural equation modeling and shows that the model derived in the previous study holds
for males and females equally well. The
study also found that females’ levels of motivation (except for interest) were
lower than males’ at both points in time and that the males’ and females’ means
on the motivation variables declined equally from grade 9 to grade 11. Implications of the findings are discussed.
DOI: 10.3886/e209486v1
title: The Mathematics Motivation an Mathematics Performance: Does Gender Play a Role?

description: Using structural equation modeling a previous study
investigated the
longitudinal relationships of role-related mathematics identity, efficacy and
interest to grade 12 mathematics performance. The results
indicated that both mathematics identity and educational expectations at grade
11 were statistically and substantively significant predictors of grade 12
mathematics achievement in the presence of other factors such as grade 9
mathematics achievement, high school mathematics coursetaking, educational
expectations at grades 9 and 11 as well student and school background
socio-demographic factors. The current study uses multiple group structural equation modeling and shows that the model derived in the previous study holds
for males and females equally well. The
study also found that females’ levels of motivation (except for interest) were
lower than males’ at both points in time and that the males’ and females’ means
on the motivation variables declined equally from grade 9 to grade 11. Implications of the findings are discussed.
DOI: 10.15468/dl.cz7pxf
title: Occurrence Download

description: A dataset containing 1741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.4218 28.86614,-89.08149 28.86614,-89.08149 30.93214,-93.4218 30.93214,-93.4218 28.86614))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euphagus carolinus (Statius Muller, 1776)"
 ]
}

 The dataset includes 1741 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041558-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvksbb
title: Occurrence Download

description: A dataset containing 351367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (SBBG - Clifton Smith Herbarium, Santa Barbara Botanic Garden, SD - SD Herbarium, San Diego Natural History Museum)",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 351367 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041520-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf3m44
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesopolobus verditer (Norton, 1869)"
 ]
}

 The dataset includes 289 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041562-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnurrf
title: Occurrence Download

description: A dataset containing 34640387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1924-2024"
 ]
}

 The dataset includes 34640387 records from 951 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041551-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqnmhn
title: Occurrence Download

description: A dataset containing 676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.94151 28.58307,-88.51724 28.58307,-88.51724 30.90491,-93.94151 30.90491,-93.94151 28.58307))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalanthus occidentalis L."
 ]
}

 The dataset includes 676 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041563-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6908728
title: ab initio REPEAT Charge MOF Database (ARC-MOF)

description: This is a database of ~280,000 MOFs which have been either experimentally characterized or computationally generated, spanning all publicly available MOF databases (the DOI of our preprint: 10.26434/chemrxiv-2022-mvr06, which gives more information on this dataset). Please cite the paper above if you use ARC-MOF. DFT-derived REPEAT charges, adsorption data, and various descriptors are available for all MOFs. A description of the files is given here (please ignore the README): <em>all_structures_1.tar.gz</em> and <em>all_structures_2.tar.gz</em> – these are the cif files that were considered to compose the “entire known design space” of MOFs, with any bad structures removed (split into two separate tarballs since it is a lot of data). <em>ARCMOF_20220610.tar.gz</em> – these are all of the cif files with REPEAT charges composing ARC-MOF. <em>flig-clusters.csv, func-clusters.csv, geo-clusters.csv, mc-clusters.csv</em> – Each file indicates for each MOF which cluster it belongs to, and whether the MOF is present in ARC-MOF. This is done for each "type" of MOF chemistry and for the geometric properties. Clusters with a negative value indicate the MOF does not belong to any cluster (i.e., it is assumed to be "unique"). <em>geometric_properties.csv</em> – a csv file containing geometric descriptors computed for this study for all MOFs. The csv file also indicates which MOFs are present in ARC-MOF, and the order in which they were chosen for the farthest point sampling (up to 100K MOFs). <em>RACs.csv</em> – See geometric_properties.csv description. Same type of file, but with the RAC descriptors. <em>RDFs</em>.csv – The RDFs for each MOF, using several atomic properties. Some atomic properties are not available for all elements. In the cases where the atomic property is not available for a particular structure, no value is assigned. <em>methane.csv, methane_purification-CH4.csv, methane_purification_CO2.csv, post_comb_vsa-CO2.csv, post_comb_vsa-N2.csv, pre_comb_4040-CO2.csv, pre_comb_4040-H2.csv, landfill-CH4.csv, landfill-CO2.csv</em> – these are csv files of the raw uptake data and various temperature, pressure conditions (with standard deviations) for each gas separation process specified in the file <em>overall_process.csv</em>. <em>overall_process.csv</em> – This is a csv file of the adsorption properties of the MOFs. Particularly, the csv files contain the working capacity (mmol/g_working_capacity) and selectivity of each MOF for each of the five process conditions. <em>mc-diverse-set.csv, func-diverse-set.csv</em> – csv files containing which MOFs are present in each diverse set (from farthest point sampling of the MOFs based on either their functional group chemistry or metal chemistry). The file indicates which MOFs are present in ARC-MOF and which are not.