cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27894083.v1
title: Language-specific hotspots of interest in IUCN Red Listed terrestrial mammals

description: Biodiversity conservation continues to be a global priority and insights into societal interest and support for targeted species conservation actions are essential for their success. Taking advantage of emerging culturomics methods, here we propose a new methodology for mapping societal interest towards terrestrial mammals by combining the IUCN Red List range maps with indicators of societal interest towards species derived from Wikipedia pageviews data for different languages. We show that societal interest towards terrestrial mammals varies between different language groups and is not necessarily concentrated in areas of high biodiversity. We propose that our mapping method can help to identify hot- and cold-spots of societal interest towards biodiversity for different taxonomic and language groups, and we discuss potential conservation applications of the proposed mapping method. A novel methodology is introduced for mapping language-specific hotspots of societal interest in biodiversity.Societal interest maps are effective at elucidating distinctions in species richness and social interest hotspots among different language groups.Species societal interest maps have the potential to generate new insights in conservation studies, rendering them valuable tools in the decision-making process. A novel methodology is introduced for mapping language-specific hotspots of societal interest in biodiversity. Societal interest maps are effective at elucidating distinctions in species richness and social interest hotspots among different language groups. Species societal interest maps have the potential to generate new insights in conservation studies, rendering them valuable tools in the decision-making process.
DOI: 10.7483/opendata.delphi.2tn8.3ckk
title: DELPHI simulation data sh_hzha03pythia6156bbtt_e91.2_m12_m04_c94_2l_c2
DOI: 10.6084/m9.figshare.25427585
title: Crossing the Caucasus hunting for plants: the collection itinerary of the botanists Stéphen Sommier and Émile Levier in the summer of 1890

description: Stéphen Sommier and Émile Levier were eminent botanists and plant collectors (but also ethno-anthropologists, geographers and photographers), best known for their scientific travels in Italy and abroad. This study accurately reconstructs the travel and collection itineraries of a trip through the Caucasus in 1890. The botanical importance of this journey is significant, with over 10,000 specimens collected, more than 1600 taxa identified, and over 250 newly described taxa based on the collected samples. The locations visited are placed in a time sequence on up-to-date georeferenced topographic maps. Furthermore, using dedicated heatmaps, we show the sites where the two explorers collected specimens that were later identified as taxa new to science. These maps will also be useful to botanists, historians, scholars and curators of natural history museums, who work with Caucasian flora and vegetation, ethno-anthropology, history of photography, and landscape.
DOI: 10.6084/m9.figshare.25427585.v2
title: Crossing the Caucasus hunting for plants: the collection itinerary of the botanists Stéphen Sommier and Émile Levier in the summer of 1890

description: Stéphen Sommier and Émile Levier were eminent botanists and plant collectors (but also ethno-anthropologists, geographers and photographers), best known for their scientific travels in Italy and abroad. This study accurately reconstructs the travel and collection itineraries of a trip through the Caucasus in 1890. The botanical importance of this journey is significant, with over 10,000 specimens collected, more than 1600 taxa identified, and over 250 newly described taxa based on the collected samples. The locations visited are placed in a time sequence on up-to-date georeferenced topographic maps. Furthermore, using dedicated heatmaps, we show the sites where the two explorers collected specimens that were later identified as taxa new to science. These maps will also be useful to botanists, historians, scholars and curators of natural history museums, who work with Caucasian flora and vegetation, ethno-anthropology, history of photography, and landscape.
DOI: 10.7483/opendata.delphi.7wp3.k7uw
title: DELPHI simulation data sh_te11_r94_2l_c2
DOI: 10.6084/m9.figshare.25867084
title: The geomorphometric atlas of Romania: an open-access database on landform classifications and morphometric variables

description: This paper presents the first digital geomorphometric atlas of Romania. It primarily includes existing international classifications of landforms, as well as land-surface variables (LSVs) derived from Forest and Buildings removed Copernicus Digital Elevation Model (FABDEM) at a resolution of 30 m. Besides the standard moving window of 3 × 3 (90 × 90 m), most LSVs were also derived in moving windows of 11 × 11 (330 × 330 m), and 27 × 27 (810 × 810 m), which represent the topographic grain values specific to the Romanian topography. Up to this point, the atlas contains 10 sets of landform classification data including the geomorphons and 24 sets of LSVs as follows: Slope, Aspect, Sin (Eastness), Cos (Northness), Profile Convexity, Plan Convexity, Longitudinal Curvature, Cross-Sectional Curvature, Minimum Profile Convexity and Multidirectional Hillshade. The data are available open-source for both interactive visualizations on the ArcGIS Online platform and for download on the Google Drive platform.
DOI: 10.6084/m9.figshare.25867084.v1
title: The geomorphometric atlas of Romania: an open-access database on landform classifications and morphometric variables

description: This paper presents the first digital geomorphometric atlas of Romania. It primarily includes existing international classifications of landforms, as well as land-surface variables (LSVs) derived from Forest and Buildings removed Copernicus Digital Elevation Model (FABDEM) at a resolution of 30 m. Besides the standard moving window of 3 × 3 (90 × 90 m), most LSVs were also derived in moving windows of 11 × 11 (330 × 330 m), and 27 × 27 (810 × 810 m), which represent the topographic grain values specific to the Romanian topography. Up to this point, the atlas contains 10 sets of landform classification data including the geomorphons and 24 sets of LSVs as follows: Slope, Aspect, Sin (Eastness), Cos (Northness), Profile Convexity, Plan Convexity, Longitudinal Curvature, Cross-Sectional Curvature, Minimum Profile Convexity and Multidirectional Hillshade. The data are available open-source for both interactive visualizations on the ArcGIS Online platform and for download on the Google Drive platform.
DOI: 10.7483/opendata.delphi.qnj8.3xg7
title: DELPHI simulation data sh_dsse_b94_2l_c2
DOI: 10.6084/m9.figshare.27627362
title: Geology of the Arera-Vedra Valley mining area (Gorno district, Orobic Alps, Italy)

description: The 1:10,000 geological map of the Arera-Vedra Valley area covers an area of about 12 km<sup>2</sup> in the Orobic Alps (Lombardy, N Italy), and is accompanied by five underground maps corresponding to different levels of historic mining works. The area is characterized by a Triassic stratigraphic succession that hosts one of the most important Zn-Pb mining districts in Italy (Gorno district). Original surface and underground geological mappings have been integrated with the analysis of drillhole stratigraphies and historic underground geological maps. Detailed geological cross sections correlating surface map data with those of the underground mining tunnels have been done. This work proposes a new map representation that is consistent with new interpretation of the geometry of the orebodies at depth, to serve as a tool for mining purposes (targets definition, mine design) and for a better understanding of the genesis of the Gorno ‘Alpine-type’ deposits.
DOI: 10.6084/m9.figshare.27627362.v2
title: Geology of the Arera-Vedra Valley mining area (Gorno district, Orobic Alps, Italy)

description: The 1:10,000 geological map of the Arera-Vedra Valley area covers an area of about 12 km<sup>2</sup> in the Orobic Alps (Lombardy, N Italy), and is accompanied by five underground maps corresponding to different levels of historic mining works. The area is characterized by a Triassic stratigraphic succession that hosts one of the most important Zn-Pb mining districts in Italy (Gorno district). Original surface and underground geological mappings have been integrated with the analysis of drillhole stratigraphies and historic underground geological maps. Detailed geological cross sections correlating surface map data with those of the underground mining tunnels have been done. This work proposes a new map representation that is consistent with new interpretation of the geometry of the orebodies at depth, to serve as a tool for mining purposes (targets definition, mine design) and for a better understanding of the genesis of the Gorno ‘Alpine-type’ deposits.
DOI: 10.6084/m9.figshare.25114615
title: The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19

description: The health and societal impacts of COVID-19 have created tremendous interest in the scientific community, resulting in interdisciplinary research teams that combine their expertise to provide new insights into the epidemic. However, spatial computation, exploratory data analysis, and spatial data exploration tools have yet to be integrated into these dashboards. We present a Spatial Online Analytical Platform that integrates spatial analysis tools that enable users to explore and learn more about spatial patterns of COVID-19. We present three interaction classes to support users needs. Our first class allows users to apply user-defined data classifications and custom map color choices. The second class applies a risk index across the time series, informing users of the recent temporal trends. The third class allows users to hypothesize about the presence of spatial clusters and receive results on demand. Our SOLAP platform supports the data analysis and exploration needs of big spatial-temporal data.
DOI: 10.6084/m9.figshare.25114615.v1
title: The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19

description: The health and societal impacts of COVID-19 have created tremendous interest in the scientific community, resulting in interdisciplinary research teams that combine their expertise to provide new insights into the epidemic. However, spatial computation, exploratory data analysis, and spatial data exploration tools have yet to be integrated into these dashboards. We present a Spatial Online Analytical Platform that integrates spatial analysis tools that enable users to explore and learn more about spatial patterns of COVID-19. We present three interaction classes to support users needs. Our first class allows users to apply user-defined data classifications and custom map color choices. The second class applies a risk index across the time series, informing users of the recent temporal trends. The third class allows users to hypothesize about the presence of spatial clusters and receive results on demand. Our SOLAP platform supports the data analysis and exploration needs of big spatial-temporal data.
DOI: 10.7483/opendata.delphi.mlh5.4r2n
title: DELPHI simulation data sh_hzha03pythia6156tttt_e91.2_m70_m4_c94_2l_c2
DOI: 10.15468/dl.tzyhv8
title: Occurrence Download

description: A dataset containing 209188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 2021-2021"
 ]
}

 The dataset includes 209188 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058400-241126133413365/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.25515263
title: Coupling morphometric analysis and soil erosion modeling for the characterization of the geomorphological setting in the surrounding of the archaeological site of Chimtou (Central Medjerda Valley, Tunisia)

description: This study focuses on the characterization of the geomorphological setting in the hinterland of the archaeological sites of Chimtou and Bordj Hellal located in the central Medjerda Valley, North Tunisia. Our approach integrates the algorithm Geomorphons for semi-automatic landform classification with the soil erosion model Unit Stream Power-based Erosion Deposition (USPED), providing information on the intensity and regional distribution of erosional and depositional processes. Data from geomorphological field mapping provide a database for a ground-truth of the semi-automatic landform classification derived by the algorithm Geomorphons and complemented the database for the creation of a detailed map of the geomorphology in the hinterland of Chimtou. In line with the delineation of the spatial distribution of erosional and depositional processes, the results deepen the understanding of the geomorphology and the sediment routing of this region.
DOI: 10.6084/m9.figshare.25515263.v2
title: Coupling morphometric analysis and soil erosion modeling for the characterization of the geomorphological setting in the surrounding of the archaeological site of Chimtou (Central Medjerda Valley, Tunisia)

description: This study focuses on the characterization of the geomorphological setting in the hinterland of the archaeological sites of Chimtou and Bordj Hellal located in the central Medjerda Valley, North Tunisia. Our approach integrates the algorithm Geomorphons for semi-automatic landform classification with the soil erosion model Unit Stream Power-based Erosion Deposition (USPED), providing information on the intensity and regional distribution of erosional and depositional processes. Data from geomorphological field mapping provide a database for a ground-truth of the semi-automatic landform classification derived by the algorithm Geomorphons and complemented the database for the creation of a detailed map of the geomorphology in the hinterland of Chimtou. In line with the delineation of the spatial distribution of erosional and depositional processes, the results deepen the understanding of the geomorphology and the sediment routing of this region.
DOI: 10.7483/opendata.delphi.b4ba.8efq
title: DELPHI simulation data sh_pythia5720yukatttt_e91.2_m7_c94_2l_c2
DOI: 10.6084/m9.figshare.28129502
title: The three geologic regions of Puebla State, Mexico

description: Puebla State, Mexico, stands out with its diverse geological features, ranging from Precambrian and Paleozoic crystalline basements to the Pliocene-Quaternary major volcanoes. It is divided into three distinct regions: the northern region with its predominantly marine successions, where outcrops a volcano-sedimentary marine succession aged between 171.3 ± 0.5 Ma and 168.6 ± 0.4 Ma; the central region, part of the Trans-Mexican Volcanic Belt; and the southern region, mainly characterized by a multitude of continental units on crystalline basements. <b>BULLETS:</b> Geological regionalization, geological provinces, genetic-chronostratigraphic units, key successions table Geological records contrast between the northern and southern regions First report of Middle Jurassic marine volcano-sedimentary succession in the Sierra Madre Oriental Range
DOI: 10.6084/m9.figshare.28129502.v1
title: The three geologic regions of Puebla State, Mexico

description: Puebla State, Mexico, stands out with its diverse geological features, ranging from Precambrian and Paleozoic crystalline basements to the Pliocene-Quaternary major volcanoes. It is divided into three distinct regions: the northern region with its predominantly marine successions, where outcrops a volcano-sedimentary marine succession aged between 171.3 ± 0.5 Ma and 168.6 ± 0.4 Ma; the central region, part of the Trans-Mexican Volcanic Belt; and the southern region, mainly characterized by a multitude of continental units on crystalline basements. <b>BULLETS:</b> Geological regionalization, geological provinces, genetic-chronostratigraphic units, key successions table Geological records contrast between the northern and southern regions First report of Middle Jurassic marine volcano-sedimentary succession in the Sierra Madre Oriental Range
DOI: 10.6084/m9.figshare.25383218
title: Geohydrologic units of Ischia Island (Southern Tyrrhenian Sea, Italy)

description: The first hydrogeological mapping of Ischia Island at the 1:10,000 scale is presented and discussed. The ‘Map of the geohydrologic units of Ischia Island’ and the accompanying hydrostratigraphic sequence at a basin scale are based on the most recent geological maps and data from the CAR.G Project, and on new volcanological and hydrogeological surveys and studies. Data sources include the database stored by the INGV, Sezione di Napoli, Osservatorio Vesuviano and field investigations, including a survey of the springs and thermo-mineral springs which has been neglected up to now. In total 130 volcanostratigraphic units and 18 geohydrologic units were recognized; the distribution of fumaroles sites was enhanced, and 60 springs/thermal springs were identified/rediscovered. The proposed hydrogeological map provides an overview of the volcano-tectonic evolution of Ischia Island and upgrades the hydrogeological model, becoming a catalyst for the effort to acquire better data and to manage natural both resources and risks.
DOI: 10.6084/m9.figshare.25383218.v2
title: Geohydrologic units of Ischia Island (Southern Tyrrhenian Sea, Italy)

description: The first hydrogeological mapping of Ischia Island at the 1:10,000 scale is presented and discussed. The ‘Map of the geohydrologic units of Ischia Island’ and the accompanying hydrostratigraphic sequence at a basin scale are based on the most recent geological maps and data from the CAR.G Project, and on new volcanological and hydrogeological surveys and studies. Data sources include the database stored by the INGV, Sezione di Napoli, Osservatorio Vesuviano and field investigations, including a survey of the springs and thermo-mineral springs which has been neglected up to now. In total 130 volcanostratigraphic units and 18 geohydrologic units were recognized; the distribution of fumaroles sites was enhanced, and 60 springs/thermal springs were identified/rediscovered. The proposed hydrogeological map provides an overview of the volcano-tectonic evolution of Ischia Island and upgrades the hydrogeological model, becoming a catalyst for the effort to acquire better data and to manage natural both resources and risks.
DOI: 10.7483/opendata.delphi.g5ov.mmwl
title: DELPHI simulation data sh_scan_e091_s94_2l_c2
DOI: 10.7483/opendata.delphi.9qyw.oj6n
title: DELPHI simulation data sh_bbps_r94_2l_b3
DOI: 10.7483/opendata.delphi.b7af.ph4f
title: DELPHI simulation data sh_hzha03pythia6156tttt_e91.2_m30_m40_c94_2l_c2
DOI: 10.6084/m9.figshare.27908996
title: Landslide susceptibility of Rwanda (Central Africa)

description: This paper presents a novel landslide susceptibility map of Rwanda (Central Africa), sadly acknowledged as highly exposed to natural hazards and affected by recurring landslide phenomena. The susceptibility assessment was performed using an integrated approach based on morphometric analysis in a Geographic Information System (GIS), supported by orthophoto analysis and geomorphological field mapping. The analysis was completed following a heuristic approach; 10 landslide controlling parameters were identified. Each parameter was assigned an appropriate weight based on expert judgement and analysed to realize thematic maps. All the data collected were mapped through a process of cartographic overlap to carry out the final zonation. The resulting map was grouped into five susceptibility classes (very low, low, medium, high, and very high), identifying areas with different probabilities of being affected by landslides. The Main Map represents a valuable tool to support sustainable territorial planning and landslide hazard assessment.
DOI: 10.6084/m9.figshare.27908996.v1
title: Landslide susceptibility of Rwanda (Central Africa)

description: This paper presents a novel landslide susceptibility map of Rwanda (Central Africa), sadly acknowledged as highly exposed to natural hazards and affected by recurring landslide phenomena. The susceptibility assessment was performed using an integrated approach based on morphometric analysis in a Geographic Information System (GIS), supported by orthophoto analysis and geomorphological field mapping. The analysis was completed following a heuristic approach; 10 landslide controlling parameters were identified. Each parameter was assigned an appropriate weight based on expert judgement and analysed to realize thematic maps. All the data collected were mapped through a process of cartographic overlap to carry out the final zonation. The resulting map was grouped into five susceptibility classes (very low, low, medium, high, and very high), identifying areas with different probabilities of being affected by landslides. The Main Map represents a valuable tool to support sustainable territorial planning and landslide hazard assessment.
DOI: 10.7483/opendata.delphi.592m.rhkx
title: DELPHI simulation data sh_cdss_b94_2l_c2
DOI: 10.7483/opendata.delphi.ipdr.bnad
title: DELPHI simulation data sh_kk2f4146tthl_e91.25_c94_2l_c2
DOI: 10.6084/m9.figshare.25475475
title: What can location-based social media reveal on human migration patterns in Europe?

description: Numerous visualisation methods have been proposed, including Origin-Destination maps to represent movement patterns gathered from social media; however, visual clutter remains a persistent issue due to complex data dimensionality. Besides, most Origin-Destination maps fail to illustrate the temporal dimension of social network phenomena within the geographical environment. To tackle this issue, we propose the visualisation method for geo-located Facebook social-media data while emphasising the time aspect. Based on the citizen-generated data for the European Union (EU), we estimated the EU citizens’ residing or travelling across the EU member states as a means of current and previous destinations to reveal the extent of the hypothetical human migration. The proposed methodology consists of Origin-Destination maps implemented within the time geography framework as a model to support the process of analysis for decision-making. The generated visualisation allows comprehension of the scale of human movement distribution internally within the EU from a space–time perspective.
DOI: 10.6084/m9.figshare.25475475.v1
title: What can location-based social media reveal on human migration patterns in Europe?

description: Numerous visualisation methods have been proposed, including Origin-Destination maps to represent movement patterns gathered from social media; however, visual clutter remains a persistent issue due to complex data dimensionality. Besides, most Origin-Destination maps fail to illustrate the temporal dimension of social network phenomena within the geographical environment. To tackle this issue, we propose the visualisation method for geo-located Facebook social-media data while emphasising the time aspect. Based on the citizen-generated data for the European Union (EU), we estimated the EU citizens’ residing or travelling across the EU member states as a means of current and previous destinations to reveal the extent of the hypothetical human migration. The proposed methodology consists of Origin-Destination maps implemented within the time geography framework as a model to support the process of analysis for decision-making. The generated visualisation allows comprehension of the scale of human movement distribution internally within the EU from a space–time perspective.