cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/85s9gq
title: 24.10.15_MEAN_EF_DEP.tab

description: Mean greenhouse gas emissions factors of land use and land-use change per land-use category and per department (kg CO2eq/ha/yr). We used a global warming potential of 273 for nitrous oxide (N2O). These emissions factors should be used when department of production is known but previous land use is not. They include the effect of mean land-management changes and mean land-use changes.
DOI: 10.57745/em2sj0
title: 24.10.15_STOCK_2000_DEP_metadata.tab

description: Variable metadata for mean carbon stocks in 2000 per land-use category and per departement
DOI: 10.57745/fqwvm1
title: 24.10.15_SPE_EF_metadata.tab

description: Variable metadata for specific greenhouse gas emissions factors of land use and land-use change per pair of previous-current land-use categories and per department
DOI: 10.57745/hwe7wc
title: 24.10.04_PROP_CROP_AREA_DEP.tab

description: Proportion of mean crop area in 2018-2022 per crop and per department
DOI: 10.57745/mnvofg
title: 24.10.15_MEAN_EF_DEP_metadata.tab

description: Variable metadata for mean greenhouse gas emissions factors of land use and land-use change per land-use category and per department.
DOI: 10.57745/spjfoy
title: 24.10.15_MEAN_EF_FR_metadata.tab

description: Variable metadata for mean greenhouse gas emissions factors of land use and land-use change per crop at national scale.
DOI: 10.57745/00cjhs
title: 24.10.15_STOCK_2000_DEP.tab

description: Mean carbon stocks in 2000 per land-use category and per departement (tC/ha)
DOI: 10.57745/7s7rzn
title: 24.10.15_SPE_EF.tab

description: Specific greenhouse gas emissions factors of land use and land-use change per pair of previous/current land-use categories and per department (kg CO2eq/ha/yr). We used a global warming potential of 273 for nitrous oxide (N2O). These emissions factors should be used when both the department of production and the previous land use are known. Emission factors are only provided when the current land-use category is different from the previous one (i.e. land use change).
DOI: 10.57745/gqpyqs
title: 24.10.15_MEAN_EF_FR.tab

description: Mean greenhouse gas emissions factors of land use and land-use change per crop at national scale (kg CO2eq/ha/yr). We used a global warming potential of 273 for nitrous oxide (N2O). These emissions factors should be used when neither the department of production nor the previous land use are known. They include the effect of mean land-management changes and mean land-use changes.
DOI: 10.57745/wdz2oz
title: 24.10.29_MEAN_EF_DEP.tab

description: Mean greenhouse gas emissions factors of land use and land-use change per land-use category and per department (kg CO2eq/ha/yr). We used a global warming potential of 273 for nitrous oxide (N2O). These emissions factors should be used when department of production is known but previous land use is not. They include the effect of mean land-management changes and mean land-use changes. Please be aware that in some departments where the land use category studied occupies a small area, the mean emissions factors may take on extreme values.
DOI: 10.57745/0q5c3x
title: 24.10.29_SPE_EF.tab

description: Specific greenhouse gas emissions factors of land use and land-use change per pair of previous/current land-use categories and per department (kg CO2eq/ha/yr). We used a global warming potential of 273 for nitrous oxide (N2O). These emissions factors should be used when both the department of production and the previous land use are known. Emission factors are only provided when the current land-use category is different from the previous one (i.e. land use change).
DOI: 10.57745/hxl87u
title: 24.10.29_MEAN_EF_FR.tab

description: Mean greenhouse gas emissions factors of land use and land-use change per crop at national scale (kg CO2eq/ha/yr). We used a global warming potential of 273 for nitrous oxide (N2O). These emissions factors should be used when neither the department of production nor the previous land use are known. They include the effect of mean land-management changes and mean land-use changes.
DOI: 10.57745/yauasg
title: 24.10.29_STOCK_2000_DEP.tab

description: Mean carbon stocks in 2000 per land-use category and per departement (tC/ha)
DOI: 10.5518/734
title: Data to support study of Molecular Squares, Coordination Polymers and Mononuclear Complexes Supported by 2,4-Dipyrazolyl-6H-1,3,5-triazine and 4,6-Dipyrazolylpyrimidine Ligands

description: Iron- and silver-containing molecular squares and coordination polymers supported by bis-bidentate heterocyclic ligands are described.
DOI: 10.15468/dl.2bzmch
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((105 0,131 0,131 42,105 42,105 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Globicephala macrorhynchus Gray, 1846",
 "Year 1990-2024"
 ]
}

 The dataset includes 236 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012185-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7916/tpag-pg11
title:  GRID3 NAM - Settlement Extents v3.0
DOI: 10.5518/736
title: Data associated with 'Re-Use and Volume Reduction of Scabbled Contaminated Concrete Arising from Nuclear Decommissioning’

description: Raw data, including images, for all experimental work relating to the PhD entitled 'Re-Use and Volume Reduction of Scabbled Contaminated Concrete Arising from Nuclear Decommissioning'.
DOI: 10.15468/dl.we6p8g
title: Occurrence Download

description: A dataset containing 14038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is North America",
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhododendron groenlandicum (Oeder) Kron & Judd"
 ]
}

 The dataset includes 14038 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012188-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14013359
title: TA4_corpus

description: Dataset developed for the OpenIE task in PT-BR, using generative models for translation and algorithms for aligning translated content.
DOI: 10.5281/zenodo.14013360
title: TA4_corpus

description: Dataset developed for the OpenIE task in PT-BR, using generative models for translation and algorithms for aligning translated content.
DOI: 10.15468/dl.c2qewf
title: Occurrence Download

description: A dataset containing 318924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Pheucticus ludovicianus (Linnaeus, 1766)",
 "HasCoordinate is TRUE",
 "Year is 2023"
 ]
}

 The dataset includes 318924 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012167-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/854cecd6ae3a31fad6a520c3f60812b1
title: Maximum temperature at El Verde Field Station, Rio Grande, Puerto Rico since October 1992

description: Daily maximum air temperature at the El Verde Field Station since October 1992. Temperature is measured daily using a manual Min-Max thermometer placed in a wooded box in the understory. The box is mostly shaded by surrounding trees, but it is more exposed to sunlight after hurricanes defoliate the forest canopy (e.g., hurricane Maria in 2017). Measurements are available for workdays only, as a technician at the station collects measurements. The thermometer is reset after each reading.

Notes:
• An automatic Hobo pendant sensor complements reading (see El Verde Field Station Air temperature from automatic sensor).
• Daily minimum air temperature available in a separated data set.
• Data from before 1992 is available in dataset #181 (1975 -August 1992). Data-missing gaps were filled in by extrapolated data from other sources, making the subsequent manipulations less valuable for interpreting long term trends.

 
 
 Daily emperature has been measured at the El Verde Field Station since 1975 (see methods). These data was divided into two data set: #16, having data from 1992 to current and #181 which has data from1975 till August 1992. Data-missing gaps where filled in by extrapolated data from other sources, making the subsequent manipulations less valuable for interpreting long term trends.
Monthly averages have been calculated. Maximum values for maximum temperature were recorded from May to October with a range from 29 to 30 and peaks of 29.7 Centigrade in October. The months of October through December show the most dramatic increase, specially December (see chart). Highest average maximum temperatures during these years were recorded in 1998 and 1999 (See chart). Max monthly temperatures appear to be increasing from this years on.
 
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.7916/9w2b-5m53
title:  GRID3 NER - Settlement Extents v3.0
DOI: 10.15468/dl.hudwaw
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((105 0,131 0,131 42,105 42,105 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phoca largha Pallas, 1811",
 "Year 1990-2024"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012190-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7rmdk
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (cauca dept.)"
 ]
}

 The dataset includes 462 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012191-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qw47a
title: Occurrence Download

description: A dataset containing 1065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry POLYGON ((-73.26128 44.07065, -73.26128 43.93506, -72.95109 43.93506, -72.95109 44.07065, -73.26128 44.07065))"
 ]
}

 The dataset includes 1065 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012192-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqv3n5
title: Occurrence Download

description: A dataset containing 74441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-14.15069 33.08168,13.98636 33.08168,13.98636 44.33168,-14.15069 44.33168,-14.15069 33.08168))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus phoenicea L."
 ]
}

 The dataset includes 74441 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012189-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc4aee
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leiosolenus aristatus (Dillwyn, 1817)"
 ]
}

 The dataset includes 49 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012194-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10980110
title: Salinity, Turbidity, Wind from the S1-GB pylon at the LTER site Delta del Po and Costa Romagnola (2012-2021)

description: The present database comprises observations spanning from 2012 to 2021, focusing on abiotic parameters collected from the S1-GB dynamic pylon, in the Northern Adriatic Sea (around 7 miles offshore within the Po Delta on a bottom depth of 22.5 m), Italy. Specifically, it encompasses measurements on atmospheric parameters above the water surface and measurements at a defined depth (https://vocab.nerc.ac.uk/collection/P01/current/ADEPZZ01/) of salinity (URI: https://vocab.nerc.ac.uk/collection/OD1/current/SAL/) in PSU (Practical Salinity Units), turbidity (URI: http://vocab.nerc.ac.uk/collection/P25/current/TURB/) in NTU (Nephelometric Turbidity Units; http://vocab.nerc.ac.uk/collection/P06/current/USTU/), wind speed (URI: http://vocab.nerc.ac.uk/collection/P25/current/WINDS/) in m/s (meters per second; http://vocab.nerc.ac.uk/collection/P06/current/PMPS/), and wind from direction (URI: http://vocab.nerc.ac.uk/standard_name/wind_from_direction/) in degrees (angular degrees, 0 represents the true north; http://vocab.nerc.ac.uk/collection/P06/current/UAAA/). The S1-GB pylon is situated at 44,74° N; 12,45° E (WGS-84 coordinate system) and is managed by the Institute of Marine Science of the National Research Council (ISMAR-CNR) in Bologna. The dataset relies on a Comma Separated Values (CSV) file and it is composed by 82391 records offering an invaluable insight into the dynamic characteristics of the marine environment over nearly a decade. The S1-GB pylon is part of the site “Delta del Po and Costa Romagnola”, which belongs to the Long Term Ecological Research national and international networks (LTER-Italy, LTER-Europe and ILTER) and eLTER-RI. The site contributes also to the DANUBIUS and JERICO Research Infrastructures.
DOI: 10.5281/zenodo.10980111
title: Salinity, Turbidity, Wind from the S1-GB pylon at the LTER site Delta del Po and Costa Romagnola (2012-2021)

description: The present database comprises observations spanning from 2012 to 2021, focusing on abiotic parameters collected from the S1-GB dynamic pylon, in the Northern Adriatic Sea (around 7 miles offshore within the Po Delta on a bottom depth of 22.5 m), Italy. Specifically, it encompasses measurements on atmospheric parameters above the water surface and measurements at a defined depth (https://vocab.nerc.ac.uk/collection/P01/current/ADEPZZ01/) of salinity (URI: https://vocab.nerc.ac.uk/collection/OD1/current/SAL/) in PSU (Practical Salinity Units), turbidity (URI: http://vocab.nerc.ac.uk/collection/P25/current/TURB/) in NTU (Nephelometric Turbidity Units; http://vocab.nerc.ac.uk/collection/P06/current/USTU/), wind speed (URI: http://vocab.nerc.ac.uk/collection/P25/current/WINDS/) in m/s (meters per second; http://vocab.nerc.ac.uk/collection/P06/current/PMPS/), and wind from direction (URI: http://vocab.nerc.ac.uk/standard_name/wind_from_direction/) in degrees (angular degrees, 0 represents the true north; http://vocab.nerc.ac.uk/collection/P06/current/UAAA/). The S1-GB pylon is situated at 44,74° N; 12,45° E (WGS-84 coordinate system) and is managed by the Institute of Marine Science of the National Research Council (ISMAR-CNR) in Bologna. The dataset relies on a Comma Separated Values (CSV) file and it is composed by 82391 records offering an invaluable insight into the dynamic characteristics of the marine environment over nearly a decade. The S1-GB pylon is part of the site “Delta del Po and Costa Romagnola”, which belongs to the Long Term Ecological Research national and international networks (LTER-Italy, LTER-Europe and ILTER) and eLTER-RI. The site contributes also to the DANUBIUS and JERICO Research Infrastructures.
DOI: 10.5281/zenodo.14013422
title: Table 1 values from Kondapally et al. (2022)
DOI: 10.5281/zenodo.14013423
title: Table 1 values from Kondapally et al. (2022)
DOI: 10.7916/k4z8-ha20
title:  GRID3 REU - Settlement Extents v3.0
DOI: 10.15468/dl.nxpb25
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Year 2012-2022",
 "TaxonKey is one of (Panaeolus (Fr.) Quél., 1872)"
 ]
 }
 ]
}

 The dataset includes 99 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012195-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk5h8s
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Physella acuta (Draparnaud, 1805)"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012196-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21410/7e4/heaxdg
title: Enquête électorale française 2017 (ENEF 2017), Vague 1Bis

description: Ce dispositif de suivi et de mesure de l’opinion permet l’analyse des évolutions de l’électorat français et de ses réactions aux événements politiques, sociaux et économiques à travers 20 vagues, depuis la veille des élections régionales de 2015 jusqu’au lendemain des élections législatives de 2017. Il permet des analyses détaillées au niveau national et régional pour saisir les évolutions de l’opinion articulées au contexte spécifique de la période préélectorale, électorale et postélectorale. Il fournit une série d’indicateurs et de mesures sur les tendances de l’électorat français, ses valeurs politiques, ses préférences partisanes, son rapport au vote et aux candidats. L'enquête détaille les ressorts psychologiques de la décision électorale à la lumière des valeurs des Français et des contextes politiques, géographiques et socio-économiques. Elle met également en évidence l’articulation entre le niveau national et le niveau local dans les caractéristiques de l’opinion. Enfin, la réception par l’opinion des thèmes inscrits à l’agenda politique par les candidats est une dimension importante, notamment pendant la période de campagne (Primaires, élection présidentielle, élections législatives). Cette vague a été réalisée en décembre 2015-janvier 2016, jusqu’après les élections régionales de 2015 ; 21 555 personnes inscrites sur les listes électorales y ont participé.
DOI: 10.5281/zenodo.14013384
title: Ips duplicatus observation, summer 2024
DOI: 10.5281/zenodo.14013385
title: Ips duplicatus observation, summer 2024
DOI: 10.5281/zenodo.14013433
title: Ips duplicatus observation, summer 2024
DOI: 10.15468/dl.r47u54
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Planorbella duryi (Wetherby, 1879)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012197-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4g3qs
title: Occurrence Download

description: A dataset containing 4929190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1998-2024"
 ]
}

 The dataset includes 4929190 records from 2488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012160-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asd27u
title: Occurrence Download

description: A dataset containing 12210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eutamias sibiricus"
 ]
}

 The dataset includes 12210 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063863-251120083545085/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.27210111
title: The deceptive pollination of <i>Anacamptis morio</i>: generalised food deception or an initial step towards adaptive mimicry?

description: To attract their pollinators non-rewarding orchids rely on various deception strategies that range from generalised food deception to floral mimicry of a specific model (Batesian mimicry). We evaluated whether the deceptive orchid <i>Anacamptis morio</i> may represent an initial step in the evolutionary trajectory from generalised food deception to Batesian mimicry by resembling the rewarding <i>Polygala nicaeensis</i>, a species with purple flowers very similar to those of <i>A. morio</i>. We assessed the pollination success of <i>A. morio</i> in relation to co-flowering rewarding species. Then, we estimated male and female reproductive success of <i>A. morio</i> depending on the presence of and similarity to the putative model P. nicaeensis. The pollination success of <i>A. morio</i> covaried with that of P. nicaeensis and its pollination efficiency was higher when the two species co-occurred. However, we did not find supporting evidence that <i>A. morio</i> mimicked its potential rewarding model. We also found that the orchids with stronger colour reflectance exhibited greater pollination success, according to a scenario of ecological facilitation rather than adaptive mimicry. Co-flowering rewarding species with a colour similar to the orchid may enhance the specific pollinator abundance and condition their foraging preference, hence producing a positive effect on the reproductive success of <i>A. morio</i>.