cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5f4knk
title: Occurrence Download

description: A dataset containing 1379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Nitraria L.",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen, Fossil, Unknown evidence, Material sample)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, Introduced, Uncertain)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 "Geometry POLYGON((140 15, 140 60, 68 60,\n 68 15, 140 15))"
 ]
}

 The dataset includes 1379 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016989-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk9888
title: Occurrence Download

description: A dataset containing 2434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spheniscus mendiculus Sundevall, 1871",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is less than or equal to 2014",
 "Year is greater than or equal to 1850"
 ]
}

 The dataset includes 2434 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157731-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmthzq
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus kerstenii Boeckeler"
 ]
}

 The dataset includes 35 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157750-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc8krz
title: Occurrence Download

description: A dataset containing 138715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "DecimalLatitude is greater than 57.9290043486324",
 "DecimalLatitude is less than 59.7136047024253",
 "DecimalLongitude is greater than -139.034366779588",
 "DecimalLongitude is less than -134.87614632156"
 ]
}

 The dataset includes 138715 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005351-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7daa3m
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus kwaleensis Lye"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157769-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qydvul
title: Occurrence Download

description: A dataset containing 297517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Equisetum arvense L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 297517 records from 631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005351-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5120
title: News_Hinglish_English
DOI: 10.15468/dl.j7pg9b
title: Occurrence Download

description: A dataset containing 536915 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of California Museum of Paleontology"
 ]
}

 The dataset includes 536915 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019199-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bwns5
title: Occurrence Download

description: A dataset containing 537460 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Österreichische Mykologische Gesellschaft - Austrian Mycological Society Observations"
 ]
}

 The dataset includes 537460 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019196-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy2zum
title: Occurrence Download

description: A dataset containing 2230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera tryoni (Froggatt, 1897)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2230 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012262-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm4t9q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternaria viticola)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012263-241107131044228/datasets/export for details.
DOI: 10.15468/dl.3agkzr
title: Occurrence Download

description: A dataset containing 3621911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Year 1901-2024"
 ]
}

 The dataset includes 3621911 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012225-241107131044228/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.27645603
title: <b>Evaluation of whole genome sequencing to identify genes related to mucin O-glycan degradation and pathogenicity in a potentially multidrug-resistant </b><b><i>Clostridium tertium</i></b><b> </b><b>strain</b>

description: Supplementary data for "<b>Evaluation of whole genome sequencing to identify genes related to mucin O-glycan degradation and pathogenicity in a potentially multidrug-resistant </b><b><i>Clostridium tertium</i></b><b> </b><b>strain</b>"
DOI: 10.6084/m9.figshare.27645603.v2
title: <b>Evaluation of whole genome sequencing to identify genes related to mucin O-glycan degradation and pathogenicity in a potentially multidrug-resistant </b><b><i>Clostridium tertium</i></b><b> </b><b>strain</b>

description: Supplementary data for "<b>Evaluation of whole genome sequencing to identify genes related to mucin O-glycan degradation and pathogenicity in a potentially multidrug-resistant </b><b><i>Clostridium tertium</i></b><b> </b><b>strain</b>"
DOI: 10.6084/m9.figshare.27645603.v1
title: <b>Evaluation of whole genome sequencing to identify genes related to mucin O-glycan degradation and pathogenicity in a potentially multidrug-resistant </b><b><i>Clostridium tertium</i></b><b> </b><b>strain</b>

description: Supplementary data for "<b>Evaluation of whole genome sequencing to identify genes related to mucin O-glycan degradation and pathogenicity in a potentially multidrug-resistant </b><b><i>Clostridium tertium</i></b><b> </b><b>strain</b>"
DOI: 10.15468/dl.r52bkh
title: Occurrence Download

description: A dataset containing 6253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Sicyos angulatus L."
 ]
}

 The dataset includes 6253 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012264-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hy4xc
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Colletotrichum acutatum, Colletotrichum acutatum, Colletotrichum acutatum, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum Simmonds, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum J.H.Simmonds, Colletotrichum acutatum J.H. Simmonds, Colletotrichum acutatum J.H. Simmonds, Colletotrichum acutatum J.H. Simmonds, Colletotrichum acutatum J.H.Simmonds, 1968, 161259983, Colletotrichum acutatum J.H.Simmonds, 1965, Colletotrichum acutatum J.H. Simmonds, Colletotrichum acutatum J.H.Simmonds, 1968, Colletotrichum acutatum J.H. Simmonds, Colletotrichum acutatum RNA virus 1, Colletotrichum acutatum RNA virus 1, Colletotrichum acutatum J.H. Simmonds, 1965, Colletotrichum cf. acutatum R1, Colletotrichum cf. acutatum FSU 10150, Colletotrichum cf. acutatum FSU 10150, Colletotrichum cf. acutatum R1, Colletotrichum cf. acutatum MU-2009, Colletotrichum cf. acutatum, Colletotrichum cf. acutatum MU-2009, Colletotrichum cf. acutatum, Colletotrichum fioriniae Marcelino & Gouli, 2008, Equisetum arvense L., Glomerella cingulata (Stoneman) Spauld. & H.Schrenk, Glomerella acutata Guerber & J.C. Correll, Glomerella acutata Guerber & J.C. Correll, Glomerella acutata Guerber & J.C.Correll, Glomerella acutata s.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 486 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012265-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvdqc4
title: Occurrence Download

description: A dataset containing 18 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 one of (Hosta longissima Honda, 1935)"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012267-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxumub
title: Occurrence Download

description: A dataset containing 16210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix atrocinerea Brot."
 ]
}

 The dataset includes 16210 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012266-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etyaha
title: Occurrence Download

description: A dataset containing 6253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Sicyos angulatus L."
 ]
}

 The dataset includes 6253 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012268-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7840641
title: RoadArrowORIEN: dataset of 6701 images (64x64 pixels) of straight arrow-type road markings and their azimuths

description: The dataset consisting of 6701 PNG images (64x64 pixels) of straight arrow type road markings with different dimensions and orientations, together with the angle it forms with respect to the vertical axis (azimuth), has been constructed in the framework of the SROADEX project to train a regression neural network to calculate the azimuth of other straight arrows that can be identified in high resolution aerial orthoimages.


The dataset was created by labeling with the labelme tool the straight arrows on orthoimage tesserae of 256x256 pixels. After semantic labeling by drawing an arrow on the orthoimage, the data was automatically processed to calculate the azimuthal angle. The procedure followed is as follows:
1.- The vertices of the generated arrow-shaped polygon have been extracted.
2.- Clusters of nearby points have been generated, with a minimum of 2 points and the cluster with less points and the one with more points has been identified. 
3.- For the clusters, the centroid has been generated, preserving the information of the number of vertices that define the cluster.
4.- Then a vector has been generated with origin in the centroid of the arrow with less vertices grouped and as end the centroid with the highest number of vertices.
5.- Finally, the azimuth of this vector with respect to the ordinate axis has been calculated, 
The images have been automatically cropped with a constant size of 64x64 pixels taking an extension greater than the occupied of the arrow in the scene.


The shared dataset consists of a compressed file with the images and a text file in CSV format with the names of the images and the normaliced [0..1] Azimutal angles of the straight arrows contained in the images.
description: Grant PID2020-116448GB-I00, funded by the Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación (ES)
DOI: 10.5281/zenodo.7840642
title: RoadArrowORIEN: dataset of 6701 images (64x64 pixels) of straight arrow-type road markings and their azimuths

description: The dataset consisting of 6701 PNG images (64x64 pixels) of straight arrow type road markings with different dimensions and orientations, together with the angle it forms with respect to the vertical axis (azimuth), has been constructed in the framework of the SROADEX project to train a regression neural network to calculate the azimuth of other straight arrows that can be identified in high resolution aerial orthoimages.


The dataset was created by labeling with the labelme tool the straight arrows on orthoimage tesserae of 256x256 pixels. After semantic labeling by drawing an arrow on the orthoimage, the data was automatically processed to calculate the azimuthal angle. The procedure followed is as follows:
1.- The vertices of the generated arrow-shaped polygon have been extracted.
2.- Clusters of nearby points have been generated, with a minimum of 2 points and the cluster with less points and the one with more points has been identified. 
3.- For the clusters, the centroid has been generated, preserving the information of the number of vertices that define the cluster.
4.- Then a vector has been generated with origin in the centroid of the arrow with less vertices grouped and as end the centroid with the highest number of vertices.
5.- Finally, the azimuth of this vector with respect to the ordinate axis has been calculated, 
The images have been automatically cropped with a constant size of 64x64 pixels taking an extension greater than the occupied of the arrow in the scene.


The shared dataset consists of a compressed file with the images and a text file in CSV format with the names of the images and the normaliced [0..1] Azimutal angles of the straight arrows contained in the images.
description: Grant PID2020-116448GB-I00, funded by the Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación (ES)
DOI: 10.5281/zenodo.14138020
title: paracassina_kounhiensis_spades_01.fasta.gz
DOI: 10.5281/zenodo.14138021
title: paracassina_kounhiensis_spades_01.fasta.gz
DOI: 10.15468/dl.kghuav
title: Occurrence Download

description: A dataset containing 16210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix atrocinerea Brot."
 ]
}

 The dataset includes 16210 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012270-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shqttk
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Colletotrichum spinaciae Ellis & Halst., Colletotrichum spinaciae, Colletotrichum spinaciae Ellis & Halst., Colletotrichum spinaciae Ellis & Halsted, Colletotrichum spinaciae Ellis & Halst., Colletotrichum spinaciae Ellis & Halst., Colletotrichum spinaciae Ellis & Halst., Colletotrichum spinaciae, Colletotrichum cf. spinaciae, Colletotrichum cf. spinaciae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012271-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10562476
title: The Global Carbon Project's fossil CO2 emissions dataset

description: The Global Carbon Project (GCP) has been publishing estimates of global and national fossil CO2 emissions since 2001. In the first instance these were simple re-publications of data from another source, but over subsequent years refinements have been made in response to feedback and identification of inaccuracies. In this article (PDF document) we describe the history of this process leading up to the methodology used in the 2023 release of the GCP's fossil CO2 dataset.

The fossil CO2 emissions dataset is included in both its standard, absolute form, and per capita, with associated metadata files in JSON format. A file indicating the source(s) of each data point is also provided.

The main changes in this release are new estimates for emissions from coal before 1950 for Latin American countries. There are also a number of corrections and updates from underlying low-lag data sources.

Notes

1. This release contains known problems with Réunion, Guadeloupe, French Guiana, and Martinique as a result of changes to France's reporting. We are actively working to resolve these.

2. An error has been found in the UN M49 codes provided in the data files. This column should be considered to be unreliable. This will be fixed in the next release.
DOI: 10.5281/zenodo.13981696
title: The Global Carbon Project's fossil CO2 emissions dataset

description: The Global Carbon Project (GCP) has been publishing estimates of global and national fossil CO2 emissions since 2001. In the first instance these were simple re-publications of data from another source, but over subsequent years refinements have been made in response to feedback and identification of inaccuracies. In this article (PDF document) we describe the history of this process leading up to the methodology used in the 2024 release of the GCP's fossil CO2 dataset.

The fossil CO2 emissions dataset is included in both its standard, absolute form, and per capita, with associated metadata files in JSON format. A file indicating the source(s) of each data point is also provided.

The main changes in this release are new oil emissions for the United Kingdom, 1920-1949 and new oil emissions for Singapore from 2000. There are also a number of corrections and updates from underlying low-lag data sources.
DOI: 10.5281/zenodo.7215364
title: The Global Carbon Project's fossil CO2 emissions dataset

description: The Global Carbon Project (GCP) has been publishing estimates of global and national fossil CO<sub>2</sub> emissions since 2001. In the first instance these were simple re-publications of data from another source, but over subsequent years refinements have been made in response to feedback and identification of inaccuracies. In this article we describe the history of this process leading up to the methodology used in the 2022 release of the GCP’s fossil CO<sub>2</sub> dataset. The fossil CO<sub>2</sub> emissions dataset is included in both its standard, absolute form, and per capita, with associated metadata files in JSON format. A file indicating the source(s) of each data point is also provided (this is a work in progress).
DOI: 10.5281/zenodo.10065794
title: The Global Carbon Project's fossil CO2 emissions dataset

description: The Global Carbon Project (GCP) has been publishing estimates of global and national fossil CO2 emissions since 2001. In the first instance these were simple re-publications of data from another source, but over subsequent years refinements have been made in response to feedback and identification of inaccuracies. In this article (PDF document) we describe the history of this process leading up to the methodology used in the 2023 release of the GCP's fossil CO2 dataset.
The fossil CO2 emissions dataset is included in both its standard, absolute form, and per capita, with associated metadata files in JSON format. A file indicating the source(s) of each data point is also provided (this is a work in progress).
It is expected that a revised release will be published before the end of 2023. This release contains known problems with Réunion, Guadeloupe, French Guiana, and Martinique.
DOI: 10.5281/zenodo.10177738
title: The Global Carbon Project's fossil CO2 emissions dataset

description: The Global Carbon Project (GCP) has been publishing estimates of global and national fossil CO2 emissions since 2001. In the first instance these were simple re-publications of data from another source, but over subsequent years refinements have been made in response to feedback and identification of inaccuracies. In this article (PDF document) we describe the history of this process leading up to the methodology used in the 2023 release of the GCP's fossil CO2 dataset.
The fossil CO2 emissions dataset is included in both its standard, absolute form, and per capita, with associated metadata files in JSON format. A file indicating the source(s) of each data point is also provided.
This release contains known problems with Réunion, Guadeloupe, French Guiana, and Martinique as a result of changes to France's reporting.
DOI: 10.5281/zenodo.14106218
title: The Global Carbon Project's fossil CO2 emissions dataset

description: The Global Carbon Project (GCP) has been publishing estimates of global and national fossil CO2 emissions since 2001. In the first instance these were simple re-publications of data from another source, but over subsequent years refinements have been made in response to feedback and identification of inaccuracies. In this article (PDF document) we describe the history of this process leading up to the methodology used in the 2024 release of the GCP's fossil CO2 dataset.

The fossil CO2 emissions dataset is included in both its standard, absolute form, and per capita, with associated metadata files in JSON format. A file indicating the source(s) of each data point is also provided.

This is a very minor update that is consistent with the GCB2024 release.