cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12944490
title: PAPILA: High resolution inventory of atmospheric emissions in Latin America.

description: Brief description

PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NMVOC, SO2, NH3, NOx), Greenhouse gases (CO2, CH4), and particles (PM25, PM10, BC, OC) from anthropogenic sources in South America, for the period 2014–2020. Here is presented PAPILA version 2.0, The first version of this inventory is available here.

PAPILA is the first AEI from anthropogenic sources covering the continental SA region, which combines local available information with a global database in a proper and rigorous way. For this purpose, global datasets were used as a basis, enriching it with locally developed inventories available in the literature until 2023 for Argentina, Chile, Colombia, Mexico and Ecuador.

The Dataset consider emissions from 13 sectors  which are organized and denominated inspired mostly on the nomenclature given by CAMS: thermal power plants (ENE);  road transportation (TRO); non-road transportation (TNR); fugitive emissions (FEF); industries, including fuel consumption in manufacturing industries and construction industrial processes, (IND); solvents (SLV); refineries (REF); agricultural soils (AGS); agricultural livestock (AGL); domestic and international navigation (SHP); solid waste disposal   (including solid waste, wastewater, and incineration) (SWD); open biomass burning (OBB); residential , commercial and other sectors (RCO)

To consult the main methodological considerations , review the methodological document available for download

This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information

Metadata

The inventories are presented as netCDF4 files, one for each year and specie, gridded  in WGS84 projection (lon-lat) with a spatial resolution of 0.1∘ × 0.1∘ covering the domain 32–120∘ W and 34∘ N–58∘ S.

Each file contains 14 variables corresponding to the emissions in Tg yr−1 from the13 sectors estimated and the sum of all categories (SUM)
DOI: 10.5281/zenodo.12944491
title: PAPILA: High resolution inventory of atmospheric emissions in Latin America.

description: Brief description

PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NMVOC, SO2, NH3, NOx), Greenhouse gases (CO2, CH4), and particles (PM25, PM10, BC, OC) from anthropogenic sources in South America, for the period 2014–2020. Here is presented PAPILA version 2.0, The first version of this inventory is available here.

PAPILA is the first AEI from anthropogenic sources covering the continental SA region, which combines local available information with a global database in a proper and rigorous way. For this purpose, global datasets were used as a basis, enriching it with locally developed inventories available in the literature until 2023 for Argentina, Chile, Colombia, Mexico and Ecuador.

The Dataset consider emissions from 13 sectors  which are organized and denominated inspired mostly on the nomenclature given by CAMS: thermal power plants (ENE);  road transportation (TRO); non-road transportation (TNR); fugitive emissions (FEF); industries, including fuel consumption in manufacturing industries and construction industrial processes, (IND); solvents (SLV); refineries (REF); agricultural soils (AGS); agricultural livestock (AGL); domestic and international navigation (SHP); solid waste disposal   (including solid waste, wastewater, and incineration) (SWD); open biomass burning (OBB); residential , commercial and other sectors (RCO)

To consult the main methodological considerations and results of the previous version of INEMA, review the methodological document available for download

This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information

Metadata

The inventories are presented as netCDF4 files, one for each year and specie, gridded  in WGS84 projection (lon-lat) with a spatial resolution of 0.1∘ × 0.1∘ covering the domain 32–120∘ W and 34∘ N–58∘ S.

Each file contains 14 variables corresponding to the emissions in Tg yr−1 from the13 sectors estimated and the sum of all categories (SUM)
DOI: 10.5281/zenodo.13749406
title: PAPILA: High resolution inventory of atmospheric emissions in Latin America.

description: Brief description

PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NMVOC, SO2, NH3, NOx), Greenhouse gases (CO2, CH4), and particles (PM25, PM10, BC, OC) from anthropogenic sources in South America, for the period 2014–2020. Here is presented PAPILA version 2.0, The first version of this inventory is available here.

PAPILA is the first AEI from anthropogenic sources covering the continental SA region, which combines local available information with a global database in a proper and rigorous way. For this purpose, global datasets were used as a basis, enriching it with locally developed inventories available in the literature until 2023 for Argentina, Chile, Colombia, Mexico and Ecuador.

The Dataset consider emissions from 13 sectors  which are organized and denominated inspired mostly on the nomenclature given by CAMS: thermal power plants (ENE);  road transportation (TRO); non-road transportation (TNR); fugitive emissions (FEF); industries, including fuel consumption in manufacturing industries and construction industrial processes, (IND); solvents (SLV); refineries (REF); agricultural soils (AGS); agricultural livestock (AGL); domestic and international navigation (SHP); solid waste disposal   (including solid waste, wastewater, and incineration) (SWD); open biomass burning (OBB); residential , commercial and other sectors (RCO)

To consult the main methodological considerations , review the methodological document available for download

This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information

Metadata

The inventories are presented as netCDF4 files, one for each year and specie, gridded  in WGS84 projection (lon-lat) with a spatial resolution of 0.1∘ × 0.1∘ covering the domain 32–120∘ W and 34∘ N–58∘ S.

Each file contains 14 variables corresponding to the emissions in Tg yr−1 from the13 sectors estimated and the sum of all categories (SUM)
DOI: 10.15468/dl.9f3mvs
title: Occurrence Download

description: A dataset containing 2083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Vangueria infausta Burch.",
 "Continent is Africa"
 ]
}

 The dataset includes 2083 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011954-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmdjvk
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.62597 1.5525,-73.59595 2.30318,-73.1005 2.40827,-72.71015 2.64849,-72.2147 2.78361,-71.89942 2.87369,-71.49405 2.88871,-71.17877 2.90372,-70.9986 2.81364,-71.05866 4.91553,-71.62917 4.58524,-71.92944 4.5402,-72.16966 4.31499,-72.36484 4.34502,-72.74018 4.26995,-73.02543 4.6603,-73.14554 4.26995,-73.46083 4.34502,-73.61096 4.52518,-73.79112 4.34502,-73.7611 4.13483,-74.13644 3.98469,-74.42169 3.83456,-74.52679 3.57933,-74.6469 3.44421,-74.67692 3.24903,-74.91714 2.94876,-74.69194 2.87369,-74.61687 2.6635,-74.72196 2.39326,-74.66191 2.2131,-74.60186 1.95787,-74.36164 1.80773,-74.07638 1.64258,-73.62597 1.5525))",
 "TaxonKey is Puma concolor (Linnaeus, 1771)",
 "Year 2019-2024"
 ]
}

 The dataset includes 86 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011955-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e188682
title: Data and Code for "The Virus of Fear: The Political Impact of Ebola in the U.S"

description: We study how public anxiety related to the threat of a disease outbreak can affect the
behavior of voters, by looking at the Ebola scare that hit the U.S. right before the 2014
midterm elections. Exploiting the timing and location of the four cases diagnosed in
the U.S., we show that heightened concern about Ebola led to a lower vote share for the
Democrats, as well as lower turnout, despite no evidence of a general anti-incumbent effect
(including for President Obama). Voters displayed increasingly conservative attitudes on
immigration but not on other ideologically-charged issues. Our findings indicate that
emotional reactions can have a strong electoral impact, and that this is mediated by
issues that can be plausibly associated with the specific triggering factor.
DOI: 10.3886/e188682v1
title: Data and Code for "The Virus of Fear: The Political Impact of Ebola in the U.S"

description: We study how public anxiety related to the threat of a disease outbreak can affect the
behavior of voters, by looking at the Ebola scare that hit the U.S. right before the 2014
midterm elections. Exploiting the timing and location of the four cases diagnosed in
the U.S., we show that heightened concern about Ebola led to a lower vote share for the
Democrats, as well as lower turnout, despite no evidence of a general anti-incumbent effect
(including for President Obama). Voters displayed increasingly conservative attitudes on
immigration but not on other ideologically-charged issues. Our findings indicate that
emotional reactions can have a strong electoral impact, and that this is mediated by
issues that can be plausibly associated with the specific triggering factor.
DOI: 10.57967/hf/3049
title: test2
DOI: 10.5281/zenodo.10529243
title: Spatial-temporal dynamics of structural unemployment in declining coal mining regions and potentialities of the 'just transition'
DOI: 10.5281/zenodo.10529244
title: Spatial-temporal dynamics of structural unemployment in declining coal mining regions and potentialities of the 'just transition'
DOI: 10.5281/zenodo.11398399
title: Spatial-temporal dynamics of structural unemployment in declining coal mining regions and potentialities of the 'just transition'
DOI: 10.15468/dl.ra42cx
title: Occurrence Download

description: A dataset listing the 1052 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.6602 21.69394,-106.64515 21.66814,-106.65733 21.65955,-106.62868 21.61083,-106.63297 21.59722,-106.53268 21.54277,-106.50187 21.60438,-106.57351 21.68104,-106.6602 21.69394))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1052 records were derived from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011942-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9hsqf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is "
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038921-250827131500795/datasets/export for details.
DOI: 10.15468/dl.79yaq6
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanopsis kawakamii"
 ]
}

 The dataset includes 523 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038922-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyrv7x
title: Occurrence Download

description: A dataset containing 10609 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PlantBank Records"
 ]
}

 The dataset includes 10609 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038923-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5yv8s
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parahancornia amapa"
 ]
}

 The dataset includes 68 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038925-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nznx8
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Auplopus blandus"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038924-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tj463
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Machilus gamblei"
 ]
}

 The dataset includes 456 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038926-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxu7f2
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carcinoscorpius rotundicauda"
 ]
}

 The dataset includes 518 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038927-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cp4jz3
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fatoua villosa"
 ]
}

 The dataset includes 739 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038929-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkf4ac
title: Occurrence Download

description: A dataset containing 1655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eritrichium villosum"
 ]
}

 The dataset includes 1655 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038931-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjz72g
title: Occurrence Download

description: A dataset containing 5523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix pulchra"
 ]
}

 The dataset includes 5523 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038933-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fqg3j
title: Occurrence Download

description: A dataset containing 4706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-10.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanea",
 "Year 2024-2024"
 ]
}

 The dataset includes 4706 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038936-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw8f3m
title: Occurrence Download

description: A dataset containing 11029 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia virginiana"
 ]
}

 The dataset includes 11029 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038932-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2fkvv
title: Occurrence Download

description: A dataset containing 855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chalcolestes viridis, Chalcostephia, Chalcostephia flavifrons, Chlorocypha, Chlorocypha aphrodite, Chlorocypha aurora, Chlorocypha cancellata, Chlorocypha consueta, Chlorocypha curta, Chlorocypha cyanifrons, Chlorocypha dahli, Chlorocypha dispar, Chlorocypha fabamacula, Chlorocypha flammea, Chlorocypha frigida, Chlorocypha ghesquierei, Chlorocypha glauca, Chlorocypha granata, Chlorocypha helenae, Chlorocypha jejuna, Chlorocypha luminosa, Chlorocypha maxima, Chlorocypha neptunus, Chlorocypha pyriformosa, Chlorocypha radix, Chlorocypha rubida, Chlorocypha schmidti, Chlorocypha selysi, Chlorocypha seydeli, Chlorocypha, Chlorocypha trifaria, Chlorocypha victoriae, Chlorocypha wittei, Chlorolestes, Chlorolestes apricans, Chlorolestes conspicuus, Chlorolestes draconicus, Chlorolestes elegans, Chlorolestes fasciatus, Chlorolestes tessellatus, Chlorolestes umbratus, Coenagriocnemis, Coenagriocnemis insularis, Coenagriocnemis reuniensis, Coenagriocnemis rufipes, Coenagrion, Coenagrion caerulescens, Coenagrion mercuriale, Coenagrion puella, Coenagrion scitulum, Copera, Copera congolensis, Copera guttifera, Copera nyansana, Copera rufipes, Copera sikassoensis, Cordulegaster, Cordulegaster boltonii, Cordulegaster boltonii algirica, Cordulegaster princeps, Cordulia, Cordulia aenea, Cornigomphus, Cornigomphus guineensis, Cornigomphus mariannae, Coryphaeschna, Coryphaeschna adnexa, Coryphagrion, Coryphagrion grandis, Crenigomphus, Crenigomphus abyssinicus, Crenigomphus cornutus, Crenigomphus hartmanni, Crenigomphus kavangoensis, Crenigomphus renei, Crocothemis, Crocothemis brevistigma, Crocothemis divisa, Crocothemis erythraea, Crocothemis sanguinolenta, Crocothemis saxicolor, Crocothemis servilia, Crocothemis striata, Cyanothemis, Cyanothemis simpsoni, Diastatomma, Diastatomma bicolor, Diastatomma gamblesi, Diastatomma multilineatum, Diastatomma selysi, Diastatomma soror, Diastatomma tricolor, Diplacodes, Diplacodes deminuta, Diplacodes exilis, Diplacodes lefebvrii, Diplacodes luminans, Diplacodes pumila, Diplacodes trivialis, Ecchlorolestes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-7.2368 34.3499,-7.8618 34.0821,-7.8618 29.0599,1.1382 29.0599,1.1382 37.0126,1.0824 37.0043,-0.2178 36.3911,-1.3535 36.1755,-2.0167 35.582,-2.9629 35.9401,-3.4108 35.7059,-4.4085 35.6649,-4.8295 35.8931,-5.2547 36.4009,-6.1318 36.2488,-7.2368 34.3499))"
 ]
}

 The dataset includes 855 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038934-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17071886
title: MALDI-MSI Lipid Brain Atlas RAW data (Part 1 of 26) (Part 2 of 26) (Part 3 of 26) (Part 4 of 26) (Part 5 of 26) (Part 6 of 26) (Part 7 of 26) (Part 8 of 26) (Part 9 of 26) (Part 10 of 26) (Part 11 of 26) (Part 12 of 26) (Part 13 of 26) (Part 14 of 26) (Part 15 of 26) (Part 16 of 26) (Part 17 of 26) (Part 18 of 26) (Part 19 of 26) (Part 20 of 26) (Part 21 of 26) (Part 22 of 26) (Part 23 of 26) (Part 24 of 26) (Part 25 of 26) (Part 26 of 26) (Part 1 of 38) (Part 2 of 38) (Part 3 of 38) (Part 4 of 38) (Part 5 of 38) (Part 6 of 38) (Part 7 of 38) (Part 8 of 38) (Part 9 of 38) (Part 10 of 38) (Part 11 of 38) (Part 12 of 38) (Part 13 of 38) (Part 14 of 38) (Part 15 of 38) (Part 16 of 38) (Part 17 of 38) (Part 18 of 38) (Part 19 of 38) (Part 20 of 38) (Part 21 of 38) (Part 22 of 38) (Part 23 of 38) (Part 24 of 38) (Part 25 of 38) (Part 26 of 38) (Part 27 of 38) (Part 28 of 38) (Part 29 of 38) (Part 30 of 38) (Part 31 of 38) (Part 32 of 38) (Part 33 of 38) (Part 34 of 38)

description: This dataset contains raw MALDI-MSI data (.RAW) and associated metadata files (.UDP). This is one part of a multi-part upload.
DOI: 10.5281/zenodo.17071887
title: MALDI-MSI Lipid Brain Atlas RAW data (Part 1 of 26) (Part 2 of 26) (Part 3 of 26) (Part 4 of 26) (Part 5 of 26) (Part 6 of 26) (Part 7 of 26) (Part 8 of 26) (Part 9 of 26) (Part 10 of 26) (Part 11 of 26) (Part 12 of 26) (Part 13 of 26) (Part 14 of 26) (Part 15 of 26) (Part 16 of 26) (Part 17 of 26) (Part 18 of 26) (Part 19 of 26) (Part 20 of 26) (Part 21 of 26) (Part 22 of 26) (Part 23 of 26) (Part 24 of 26) (Part 25 of 26) (Part 26 of 26) (Part 1 of 38) (Part 2 of 38) (Part 3 of 38) (Part 4 of 38) (Part 5 of 38) (Part 6 of 38) (Part 7 of 38) (Part 8 of 38) (Part 9 of 38) (Part 10 of 38) (Part 11 of 38) (Part 12 of 38) (Part 13 of 38) (Part 14 of 38) (Part 15 of 38) (Part 16 of 38) (Part 17 of 38) (Part 18 of 38) (Part 19 of 38) (Part 20 of 38) (Part 21 of 38) (Part 22 of 38) (Part 23 of 38) (Part 24 of 38) (Part 25 of 38) (Part 26 of 38) (Part 27 of 38) (Part 28 of 38) (Part 29 of 38) (Part 30 of 38) (Part 31 of 38) (Part 32 of 38) (Part 33 of 38) (Part 34 of 38)

description: This dataset contains raw MALDI-MSI data (.RAW) and associated metadata files (.UDP). This is one part of a multi-part upload.
DOI: 10.15468/dl.6uwpf6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphyosemion cyanostictum)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038938-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxmz26
title: Occurrence Download

description: A dataset containing 1666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sus scrofa",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland"
 ]
}

 The dataset includes 1666 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038940-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.