cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p25tw3
title: Occurrence Download

description: A dataset containing 146104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "Geometry POLYGON((-73.32753 7.04826,-73.54273 7.15443,-73.76899 7.14832,-73.83294 6.93841,-73.76039 6.77236,-73.40746 6.78702,-73.32753 7.04826))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 146104 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011471-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3410007701-eng
title: Information system(s) used for management for municipally owned road assets, by urban and rural, and population size, Infrastructure Canada, inactive

description: Information system(s) used for management of municipally owned roads for all provinces and territories, by urban and rural and population size.
DOI: 10.25318/3410007701-fra
title: Utilisation d’au moins un système d’information pour la gestion des actifs routiers de propriété municipale, selon la zone (urbaine ou rurale) et la taille de population, Infrastructure Canada, inactif

description: Utilisation d’au moins un système d’information pour la gestion municipale des routes pour toutes les provinces et territoires, selon la zone (urbaine ou rurale) et la taille de population.
DOI: 10.25318/3410007601-eng
title: Information system(s) usage for management of publicly owned road assets, Infrastructure Canada, inactive

description: Information system(s) usage for management of provincially, territorially, regionally and municipally owned roads for all provinces and territories.
DOI: 10.25318/3410007601-fra
title: Utilisation d’au moins un système d’information pour la gestion des actifs routiers de propriété publique, Infrastructure Canada, inactif

description: Utilisation d’au moins un système pour la gestion des routes de propriété provinciale, territoriale, régionale et municipale pour toutes les provinces et territoires.
DOI: 10.5281/zenodo.11244315
title: Revisiting the Relation Between Robustness and Universality: Part 4
DOI: 10.5281/zenodo.11244316
title: Revisiting the Relation Between Robustness and Universality: Inverted Images on SAT6 (Standard Models)
DOI: 10.5281/zenodo.13936034
title: Revisiting the Relation Between Robustness and Universality: Part 4
DOI: 10.5281/zenodo.14802491
title: Revisiting the Relation Between Robustness and Universality: Part 4
DOI: 10.5281/zenodo.11244274
title: Revisiting the Relation Between Robustness and Universality: Inverted Images on ImageNet (Robust Models) and all CIFAR10 and SNLI Data
DOI: 10.5281/zenodo.13936030
title: Revisiting the Relation Between Robustness and Universality: Part 2
DOI: 10.5281/zenodo.11244273
title: Revisiting the Relation Between Robustness and Universality: Part 2
DOI: 10.5281/zenodo.14802537
title: Revisiting the Relation Between Robustness and Universality: Part 2
DOI: 10.25318/3410007501-eng
title: Asset management practices for municipally owned road assets, by urban and rural, and population size, Infrastructure Canada, inactive

description: Asset management practices for municipally owned roads for all provinces and territories, by urban and rural and population size.
DOI: 10.25318/3410007501-fra
title: Pratiques de gestion des actifs routiers de propriété municipale, selon la zone (urbaine ou rurale) et la taille de population, Infrastructure Canada, inactif

description: Pratiques de gestions des actifs routiers de propriété municipale pour toutes les provinces et tous les territoires, selon la zone (urbaine ou rurale) et la taille de la population.
DOI: 10.5281/zenodo.13141063
title: A Thin Plastic Film at the Soil-Water Interface Alters the Carbon Dioxide and Methane Emission
DOI: 10.5281/zenodo.13141064
title: A Thin Plastic Film at the Soil-Water Interface Alters the Carbon Dioxide and Methane Emission
DOI: 10.15468/dl.kkcy7t
title: Occurrence Download

description: A dataset listing the 834 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "Geometry POLYGON((-73.32753 7.04826,-73.54273 7.15443,-73.76899 7.14832,-73.83294 6.93841,-73.76039 6.77236,-73.40746 6.78702,-73.32753 7.04826))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 834 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011469-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10218523
title: Pan-European Maps of Canopy Fuels

description: WORKING VERSION.
All layers will be visible in this linked webgis app along with estimated error. <== To Be Updated in new final version, not yet so.
The layers available in this dataset are in a WGS84 geographic coordinate reference system  (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m west-est direction at 45° latitude and ~50 m west-est direction at  60° latitude.

A_Aspect.tif, A_slope.tif and A__elevation.tif - Earth surface height above sea level and morphology. Prefix was added to group them in Zenodo.
biomass.tif - Biomass values at year 2020, Mg/ha. 
canopyBulkDensity.tif -  Amount of canopy biomass per volume of canopy (kg/m3)
canopyBaseHeight.tif - Height of  canopy start measured from the ground (m)
canopyCover.tif - percent of canopy coverage - resampled and updated from the map of Hansen et al. 2005
canopyHeight.tif - Total height of canopy from the ground (m) - resampled from the map of Lang, N., et al. (2023)
Fuel Model

FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005
FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) .
FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS
FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS
FuelModelPercent.tif - the percent of fuel model category belonging to that pixel, values range between 50 and 100. Allows to spot pixels with expected mixed fuel categories.
DOI: 10.5281/zenodo.10520218
title: Pan-European Maps of Canopy Fuels

description: WORKING VERSION.
All layers will be visible in this linked webgis app along with estimated error. <== To Be Updated in new final version, not yet so.
The layers available in this dataset are in a WGS84 geographic coordinate reference system  (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m west-est direction at 45° latitude and ~50 m west-est direction at  60° latitude.

A_Aspect.tif, A_slope.tif and A__elevation.tif - Earth surface height above sea level and morphology. Prefix was added to group them in Zenodo.
biomass.tif - Biomass values at year 2020, Mg/ha. 
canopyBulkDensity.tif -  Amount of canopy biomass per volume of canopy (kg/m3)
canopyBaseHeight.tif - Height of  canopy start measured from the ground (m)
canopyCover.tif - percent of canopy coverage - resampled and updated from the map of Hansen et al. 2005
canopyHeight.tif - Total height of canopy from the ground (m) - resampled from the map of Lang, N., et al. (2023)
Fuel Model

FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005
FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) .
FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS
FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS
FuelModelPercent.tif - the percent of fuel model category belonging to that pixel, values range between 50 and 100. Allows to spot pixels with expected mixed fuel categories.
DOI: 10.5281/zenodo.10573847
title: Pan-European Maps of Canopy Fuels

description: WORKING VERSION.
All layers will be visible in this linked webgis app along with estimated error. <== To Be Updated in new final version, not yet so.
The layers available in this dataset are in a WGS84 geographic coordinate reference system  (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m west-est direction at 45° latitude and ~50 m west-est direction at  60° latitude.

A_Aspect.tif, A_slope.tif and A__elevation.tif - Earth surface height above sea level and morphology. Prefix was added to group them in Zenodo.
biomass.tif - Biomass values at year 2020, Mg/ha. 
canopyBulkDensity.tif -  Amount of canopy biomass per volume of canopy (kg/m3)
canopyBaseHeight.tif - Height of  canopy start measured from the ground (m)
canopyCover.tif - percent of canopy coverage - resampled and updated from the map of Hansen et al. 2005
canopyHeight.tif - Total height of canopy from the ground (m) - resampled from the map of Lang, N., et al. (2023)
Fuel Model

FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005
FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) .
FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS
FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS
FuelModelPercent.tif - the percent of fuel model category belonging to that pixel, values range between 50 and 100. Allows to spot pixels with expected mixed fuel categories.
DOI: 10.5281/zenodo.8244757
title: Fuel model input raster data EU

description: <strong>THIS IS A DRAFT VERSION!</strong> All layers are visible in this linked webgis app. The layers available in this dataset are in a WGS84 geographic coordinate reference system (EPSG:4326) where latitude and longitude coordinates at 0.0009 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m at 45° latitude and ~50 m at 60° latitude. Aspect, slope and elevation represent Earth surface morphology Biomass - Biomass values at year 2020 Mg/ha Canopy Base Height - Height of canopy from the ground (m) Canopy Bulk Density - amount of canopy biomass per volume of canopy (kg/m<sup>3</sup>) Fuel Model FuelModelClasses - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) . FuelModelClasses CLR/QML - style file for QGIS FuelModelPercent - the percent of fuel model category belonging to that pixel, between 0 and 100 FuelModelAllPerc - multi-band raster with percent of each fuel model category to belong to each pixel.
DOI: 10.5281/zenodo.8370301
title: Fuel model input raster data EU

description: <strong>WORKING VERSION.</strong> All layers are visible in this linked webgis app along with estimated error. The layers available in this dataset are in a WGS84 geographic coordinate reference system (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m at 45° latitude and ~50 m at 60° latitude. Aspect.tif, slope.tif and elevation.tif represent Earth surface morphology biomass2020fireres.tif - Biomass values at year 2020 Mg/ha CanopyBulkDensity.tif - Amount of canopy biomass per volume of canopy (kg/m<sup>3</sup>) CanopyBaseHeight.tif - Height of lower canopy from the ground (m) CanopyHeight.tif - Total height of canopy from the ground (m) Fuel Model FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005 FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) . FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS FuelModelPercent - the percent of fuel model category belonging to that pixel, between 0 and 100 FuelModelAllPerc - multi-band raster with percent of each fuel model category to belong to each pixel.
DOI: 10.5281/zenodo.8375279
title: Fuel model input raster data  EU

description: WORKING VERSION.


All layers are visible in this linked webgis app along with estimated error.


The layers available in this dataset are in a WGS84 geographic coordinate reference system  (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m at 45° latitude and ~50 m at  60° latitude.



	
Aspect.tif, slope.tif and elevation.tif represent Earth surface morphology
	
biomass2020fireres.tif - Biomass values at year 2020 Mg/ha
	
CanopyBulkDensity.tif -  Amount of canopy biomass per volume of canopy (kg/m3)
	
CanopyBaseHeight.tif - Height of lower canopy from the ground (m)
	
CanopyHeight.tif - Total height of canopy from the ground (m)
	
Fuel Model
	

		
FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005
		
FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) .
		
FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS
		
FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS
		
FuelModelPercent - the percent of fuel model category belonging to that pixel, between 0 and 100
		
FuelModelAllPerc - multi-band raster with percent of each fuel model category to belong to each pixel.
DOI: 10.5281/zenodo.8420046
title: Fuel model input raster data  EU

description: WORKING VERSION.


All layers are visible in this linked webgis app along with estimated error.


The layers available in this dataset are in a WGS84 geographic coordinate reference system  (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m at 45° latitude and ~50 m at  60° latitude.



	
Aspect.tif, slope.tif and elevation.tif represent Earth surface morphology
	
biomass2020fireres.tif - Biomass values at year 2020 Mg/ha
	
CanopyBulkDensity.tif -  Amount of canopy biomass per volume of canopy (kg/m3)
	
CanopyBaseHeight.tif - Height of lower canopy from the ground (m)
	
CanopyHeight.tif - Total height of canopy from the ground (m)
	
Fuel Model
	

		
FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005
		
FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) .
		
FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS
		
FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS
		
FuelModelPercent - the percent of fuel model category belonging to that pixel, between 0 and 100
		
FuelModelAllPerc - multi-band raster with percent of each fuel model category to belong to each pixel.
DOI: 10.25318/3410007401-eng
title: Asset management practices for publicly owned road assets, Infrastructure Canada, inactive

description: Asset management practices for provincially, territorially, regionally and municipally owned roads for all provinces and territories.
DOI: 10.15468/dl.xqpu6f
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is DEU.9.26_1",
 "Geometry POLYGON((9.61895 51.66982,9.77763 51.66982,9.77763 51.7677,9.61895 51.7677,9.61895 51.66982))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 195 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011508-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14802549
title: Data set for the manuscript: "Alternative reproductive strategies in two cryptic species of the European earwig complex"

description: Data set and R script used in the manuscript : "Alternative reproductive strategies in two cryptic species of the European earwig complex"
DOI: 10.5281/zenodo.14802550
title: Data set for the manuscript: "Alternative reproductive strategies in two cryptic species of the European earwig complex"

description: Data set and R script used in the manuscript : "Alternative reproductive strategies in two cryptic species of the European earwig complex"
DOI: 10.25318/3410007401-fra
title: Pratiques de gestion des actifs routiers de propriété publique, Infrastructure Canada, inactif

description: Pratiques de gestion des actifs routiers de propriété provinciale, territoriale, régionale et municipale pour toutes les provinces et territoires.
DOI: 10.15468/dl.nwarc7
title: Occurrence Download

description: A dataset containing 1184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Observation, Human Observation, Material sample, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinochloa pyramidalis (Lam.) Hitchc. & Chase"
 ]
}

 The dataset includes 1184 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011511-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58dhfs
title: Occurrence Download

description: A dataset containing 9143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solanum chenopodioides Lam., Solanum subspatulatum Sendtn., Solanum virgatum Endl., Solanum vile Bitter, Solanum sublobatum Willd., Solanum sublobatum Willd. ex Roem. & Schult., Solanum nigrum var. aguaraquiya Reiche, Solanum gracile Moric. ex Dunal, Solanum amaranthifolium Gillies ex Rusby, Solanum besseri Weinm., Solanum besseri Weinm. ex Roem. & Schult., Solanum gracile Moric., Solanum aguaraquiya Sendtn., Solanum gracile Otto, Solanum nigrum var. aspergilliflorum Sendtn., Solanum gracile var. microphyllum Dunal, Solanum nodiflorum var. microphyllum Hassl., Solanum litocladum Dunal, Solanum americanum var. baylisii D' Arcy, Solanum isabellei Dunal, Solanum virgatum Endl. ex Sendtn., Solanum ottonis H.Hyl., Solanum chenopodifolium Dunal, Solanum gracilius Herter, Solanum ottonis Hyl., Solanum nodiflorum var. besseri (Weinm.) Witasek, Solanum pterocaulon var. aguaraquiya (Sendtn.) Dunal, Witheringia chenopodioides (Lam.) J.Rémy)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 9143 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011510-250127130748423/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.27924834
title: The six C’s of successful higher education-industry collaboration in engineering education: a systematic literature review

description: This systematic literature review provides an overview of how higher education in engineering, in collaboration with industry, supports student transitions to work life. A qualitative content analysis of 36 articles published between 2013 and 2023 indicated that this collaboration provides numerous benefits for all stakeholders; however, challenges can impede or even halt those efforts. The reviewed articles address curricula, motivation, and professional aspects and demonstrate evidence of international research collaborations. Common collaboration patterns include problem-solving, product development, and assisting students in transitioning from academia to the professional sphere. While the benefits of collaboration are evident for all parties involved, challenges and hindering factors like time and resource constraints do exist. In the discussion, we introduce the six C’s: key factors for successful collaboration between higher education and industry; namely, clarity, communication, commonality, commitment, continuity, and confidence. A framework outlining potential success factors for higher education–industry collaboration is proposed.
DOI: 10.6084/m9.figshare.27924834.v1
title: The six C’s of successful higher education-industry collaboration in engineering education: a systematic literature review

description: This systematic literature review provides an overview of how higher education in engineering, in collaboration with industry, supports student transitions to work life. A qualitative content analysis of 36 articles published between 2013 and 2023 indicated that this collaboration provides numerous benefits for all stakeholders; however, challenges can impede or even halt those efforts. The reviewed articles address curricula, motivation, and professional aspects and demonstrate evidence of international research collaborations. Common collaboration patterns include problem-solving, product development, and assisting students in transitioning from academia to the professional sphere. While the benefits of collaboration are evident for all parties involved, challenges and hindering factors like time and resource constraints do exist. In the discussion, we introduce the six C’s: key factors for successful collaboration between higher education and industry; namely, clarity, communication, commonality, commitment, continuity, and confidence. A framework outlining potential success factors for higher education–industry collaboration is proposed.
DOI: 10.15468/dl.gpdred
title: Occurrence Download

description: A dataset containing 55484 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collections paléontologiques de l'Université Rennes 1"
 ]
}

 The dataset includes 55484 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011509-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.