cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4277267
title: Gridded fossil CO2 emissions and related O2 combustion consistent with national inventories 1959-2019

description: GCP-GridFED (version 2020.1) is a gridded fossil emissions dataset that is consistent with the national CO<sub>2</sub> emissions reported by the Global Carbon Project (GCP). GCP-GridFEDv2020.1 provides monthly fossil CO<sub>2 </sub>emissions for the period 1959-2019 at a spatial resolution of 0.1° × 0.1°. The gridded emissions estimates are provided separately for fossil CO<sub>2</sub> emitted by the oxidation of oil, coal and natural gas, with mixed international bunker fuels considered separately, as well as for the calcination of limestone during cement production. GCP-GridFED also includes gridded uncertainties in CO<sub>2 </sub>emission, incorporating differences in uncertainty across emissions sectors and countries, and gridded estimates of corresponding O<sub>2</sub> uptake based on oxidative ratios for oil, coal and natural gas. GCP-GridFEDv2020.1 was produced by scaling monthly gridded emissions for the year 2010, from the Emissions Database for Global Atmospheric Research (EDGAR; version 4.3.2; Janssens-Maenhout et al., 2019), to the national annual emissions estimates compiled as part of the 2020 global carbon budget (GCB-NAE) for the years 1959-2019 (Friedlingstein et al., in revision [ESSD]), an update from the 2019 global carbon budget (Friedlingstein et al., 2019). GCP-GridFEDv2020.1 uses a preliminary release of GCB-NAE covering the years 1959-2019; the GCB-NAE data for 2019 is based on data available in June 2020 and the estimates are thus expected to differ slightly from those presented by Friedlingstein et al. (in revision [ESSD]) which uses new data available since June 2020. A planned update (GCP-GridFEDv2020.2) will use the GCB-NAE data published by Friedlingstein et al. (in revision [ESSD]). A data description article providing the methodology behind this dataset is in revision (Jones et al., in revision [Scientific Data]) and focuses on the previous version (GCP-GridFEDv2019.1), which used the GCP-NAE dataset published by Friedlingstein et al., (2019). There were no methodological changes since GCP-GridFEDv2019.1 (doi:10.5281/zenodo.3958283); that is, GCP-GridFEDv2020.1 is generated by the approach described in Jones et al. (in revision [Scientific Data]) but with updated (preliminary) GCP-NAE data. The current version is embargoed until 7th December 2020.
description: {"references": ["Friedlingstein, P., Jones, M. W., O'Sullivan, M. et al. (2019) Global Carbon Budget 2019. Earth Syst. Sci. Data 11, 1783\u20131838, doi:10.5194/essd-11-1783-2019", "Janssens-Maenhout, G., Crippa, M., Guizzardi, D. et al. (2019) EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970\u20132012. Earth Syst. Sci. Data 11, 959\u20131002, doi:10.5194/essd-11-959-2019"]}
DOI: 10.15468/dl.wqnamg
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Verdoornianthus griffinii Gradst."
 ]
}

 The dataset includes 9 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013919-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmdnpf
title: Occurrence Download

description: A dataset containing 34793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.2_1",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 34793 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013921-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2905/9a336764-1cd3-4c8e-a493-d2a02e32b569
title: Labour Accounts Flatfile

description: FIGARO-E3 Labour Accounts table in thousand workers for year 2015 in flatfile form
DOI: 10.5281/zenodo.13929658
title: Is OSSO a significant contributor to the unknown UV absorber in Venus' atmosphere?

description: Datasets for figures and output of PCM model run as detailed in the corresponding paper.
DOI: 10.5281/zenodo.13929434
title: Is OSSO a significant contributor to the unknown UV absorber in Venus' atmosphere?

description: Datasets for figures and output of PCM model run as detailed in the corresponding paper.
DOI: 10.5281/zenodo.13929435
title: Is OSSO a significant contributor to the unknown UV absorber in Venus' atmosphere?

description: Datasets for figures and output of PCM model run as detailed in the corresponding paper.
DOI: 10.5281/zenodo.13929667
title: OnMapGaze

description: The EyeMouseMap dataset

The dataset includes both experimental and analyzed gaze and mouse tracking data collected during the visual search of four different point target symbols (located either on the center or the periphery of the visual scene, target-absent trials are also tested), on four different cartographic backgrounds (48 different visual scenes in total). In more detail, the dataset includes experimental data produced in two different experiments; (a) a lab-based gaze and mouse tracking (55 participants, 1000 Hz sampling frequency) study and (b) a remote (online) mouse tracking (30 participants) study.

A full description of the related studies can be found in (please cite this works as a reference to EyeMouseMap):

Vlachou A., Liaskos, D., & Krassanakis, V. (2024). Quantifying map user response differences between gaze and cursor activity during searching cartographic point symbols. Online User Experiments: Seeing What Map Users See without Seeing Them (Pre-conference Workshop, EuroCarto 2024). Available at: https://eurocarto2024.org/wp-content/uploads/2024/10/EC24_workshop_online-user-experiments_proceedings.pdf#page=9.

Pappa, A., & Krassanakis, V. (2022). Examining the preattentive effect on cartographic backgrounds utilizing remote mouse tracking. Abstracts of the ICA, 5, 111. (EuroCarto 2022 Conference). https://doi.org/10.5194/ica-abs-5-111-2022.
DOI: 10.5523/bris.1pmmcgyqaij8n27j94i2rgd4j9
title: STROBE checklist for ‘Association between tumour somatic mutations and venous thromboembolism in the 100,000 Genomes Project cancer cohort: a study protocol’

description: This provides access to the STROBE checklist which accompanies the article: ‘Association between tumour somatic mutations and venous thromboembolism in the 100,000 Genomes Project cancer cohort: a study protocol', an analysis protocol publication in Wellcome Open Research. 
The associated publication can be accessed here:

https://hdl.handle.net/1983/52bcc639-f13f-417e-bb06-306e4ac56ad3
DOI: 10.5281/zenodo.13929257
title: Data Sets for "Efficient Solution of the Number Partitioning Problem on a Quantum Annealer: A Hybrid Quantum-Classical Decomposition Approach"
DOI: 10.5281/zenodo.13929258
title: Data Sets for "Efficient Solution of the Number Partitioning Problem on a Quantum Annealer: A Hybrid Quantum-Classical Decomposition Approach"
DOI: 10.15468/dl.q7wgyy
title: Occurrence Download

description: A dataset listing the 87979 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset's 87979 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013895-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wsxzx
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EEARGCode(10000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, speciesKey, species, establishmentMeans, degreeOfEstablishment, pathway, COUNT(*) AS occurrences, COUNT(DISTINCT recordedBy) AS distinctObservers FROM occurrence WHERE GBIF_Within('POLYGON((4.08997 49.82741,4.90937 49.82741,4.90937 50.19738,4.08997 50.19738,4.08997 49.82741))', decimalLatitude, decimalLongitude) = True AND occurrenceStatus = 'PRESENT' AND hasCoordinate = TRUE AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL AND taxonKey = 1354 GROUP BY yearMonth, eeaCellCode, speciesKey, species, establishmentMeans, degreeOfEstablishment, pathway ORDER BY yearMonth DESC, eeaCellCode ASC, speciesKey ASC

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013876-241007104925546/datasets/export for details.
DOI: 10.2905/22eb94b9-79be-42e5-8c4b-ac441a543cfa
title: Classifications

description: FIGARO-E3 Classifications for countries, industries, products, additional rows and columns and extensions
DOI: 10.15468/dl.pr6uwj
title: Occurrence Download

description: A dataset listing the 4027910 species recorded in GBIF matching the query:
{ }

 The dataset's 4027910 records were derived from 76898 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013875-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13929711
title: Online appendix C

description: Online appendix C for paper entitled "Spoofing in U.S. Futures Markets: An Interdisciplinary Approach"
DOI: 10.5281/zenodo.13929666
title: EyeMouseMap

description: The EyeMouseMap dataset

The dataset includes both experimental and analyzed gaze and mouse tracking data collected during the visual search of four different point target symbols (located either on the center or the periphery of the visual scene, target-absent trials are also tested), on four different cartographic backgrounds (48 different visual scenes in total). In more detail, the dataset includes experimental data produced in two different experiments; (a) a lab-based gaze and mouse tracking (55 participants, 1000 Hz sampling frequency) study and (b) a remote (online) mouse tracking (30 participants) study.

A full description of the related studies can be found in (please cite these works as a reference to EyeMouseMap):

Vlachou A., Liaskos, D., & Krassanakis, V. (2024). Quantifying map user response differences between gaze and cursor activity during searching cartographic point symbols. Online User Experiments: Seeing What Map Users See without Seeing Them (Pre-conference Workshop, EuroCarto 2024). Available at: https://eurocarto2024.org/wp-content/uploads/2024/10/EC24_workshop_online-user-experiments_proceedings.pdf#page=9.

Pappa, A., & Krassanakis, V. (2022). Examining the preattentive effect on cartographic backgrounds utilizing remote mouse tracking. Abstracts of the ICA, 5, 111. (EuroCarto 2022 Conference). https://doi.org/10.5194/ica-abs-5-111-2022.
DOI: 10.5281/zenodo.13929730
title: EyeMouseMap

description: The EyeMouseMap dataset

The dataset includes both experimental and analyzed gaze and mouse tracking data collected during the visual search of four different point target symbols (located either on the center or the periphery of the visual scene, target-absent trials are also tested), on four different cartographic backgrounds (48 different visual scenes in total). In more detail, the dataset includes experimental data produced in two different experiments; (a) a lab-based gaze and mouse tracking (55 participants, 1000 Hz sampling frequency) study and (b) a remote (online) mouse tracking (30 participants) study.

A full description of the related studies can be found in (please cite these works as a reference to EyeMouseMap):

Vlachou A., Liaskos, D., & Krassanakis, V. (2024). Quantifying map user response differences between gaze and cursor activity during searching cartographic point symbols. Online User Experiments: Seeing What Map Users See without Seeing Them (Pre-conference Workshop, EuroCarto 2024). Available at: https://eurocarto2024.org/wp-content/uploads/2024/10/EC24_workshop_online-user-experiments_proceedings.pdf#page=9.

Pappa, A., & Krassanakis, V. (2022). Examining the preattentive effect on cartographic backgrounds utilizing remote mouse tracking. Abstracts of the ICA, 5, 111. (EuroCarto 2022 Conference). https://doi.org/10.5194/ica-abs-5-111-2022.
DOI: 10.5281/zenodo.13929675
title: DMGAT: Predicting ncRNA-Drug resistance associations based on diffusion map and heterogeneous graph attention network

description: Dataset for the paper: DMGAT: Predicting ncRNA-Drug resistance associations based on diffusion map and heterogeneous graph attention network
DOI: 10.5281/zenodo.13929676
title: DMGAT: Predicting ncRNA-Drug resistance associations based on diffusion map and heterogeneous graph attention network

description: Dataset for the paper: DMGAT: Predicting ncRNA-Drug resistance associations based on diffusion map and heterogeneous graph attention network
DOI: 10.15468/dl.8t57t9
title: Occurrence Download

description: A dataset listing the 37 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.4.6_1",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset's 37 records were derived from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013900-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2905/1424e2a1-ef14-49e3-8e23-e154028a1803
title: Final Energy Use Matrix (TJ)

description: FIGARO-E3 Final Energy Use table in terajoules for year 2015 in matrix form
DOI: 10.5281/zenodo.13903909
title: Results of the study "Untangling the Waves: Decomposing Extreme Sea Levels in a non-tidal basin, the Baltic Sea"

description: This archive stores the data of the study "Untangling the Waves: Decomposing Extreme Sea Levels in a non-tidal basin, the Baltic Sea" submitted to the journal Natural Hazards and Earth System Sciences.
DOI: 10.5281/zenodo.13903910
title: Results of the study "Untangling the Waves: Decomposing Extreme Sea Levels in a non-tidal basin, the Baltic Sea"

description: This archive stores the data of the study "Untangling the Waves: Decomposing Extreme Sea Levels in a non-tidal basin, the Baltic Sea" submitted to the journal Natural Hazards and Earth System Sciences.
DOI: 10.15468/dl.upkves
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis mondolfii (Rivero, 1984)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013926-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13929754
title: essai
DOI: 10.5281/zenodo.13929755
title: essai
DOI: 10.5281/zenodo.13623666
title: Controlled vocabulary: Scientific Areas in Skos.
DOI: 10.5281/zenodo.13887940
title: Ciência Vitae controlled vocabulary - Scientific Area
DOI: 10.5281/zenodo.13921875
title: Ciência Vitae controlled vocabulary - Scientific Area
DOI: 10.5281/zenodo.13368117
title: Ciência Vitae controlled vocabulary - Scientific Area
DOI: 10.5281/zenodo.13368118
title: Controlled vocabulary: Scientific Areas in Skos.
DOI: 10.5281/zenodo.13929777
title: Ciência Vitae controlled vocabulary - Scientific Area
DOI: 10.2905/1946d725-91e8-4d86-9361-9e2e262b222b
title: Inter-Country Use Flatfile

description: FIGARO-E3 Inter-Country Use table at basic prices (million euros) for year 2015 in flatfile form
DOI: 10.15468/dl.w9tc6p
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nassella trichotoma (Nees) Hack. & Arechav.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Australia)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 267 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013928-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wav2w
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis munozi Rojas-Runjaic, Delgado C. & Guayasamin, 2014"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013931-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e83ydx
title: Occurrence Download

description: A dataset containing 2876851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Apiaceae"
 ]
}

 The dataset includes 2876851 records from 4232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013902-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive113662.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113663.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113664.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113665.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113666.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113667.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113668.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113669.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113670.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113671.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113672.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113673.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113674.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113675.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113676.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113677.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113678.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113679.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113680.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113681.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113682.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113683.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113684.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113685.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113686.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113687.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113688.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113689.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113690.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.