cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7821649
title: Spatial soil properties maps for Switzerland at 30 m resolution

description: The Swiss Soil Property Map (SSPM) was developed using the quantile random forest machine learning algorithm and remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. The SSPM dataset provides maps at 30 m resolution for different soil depths (0, 30, 60, and 100 cm) in GeoTIFF format. The mean and respective uncertainty information is provided for each map. Please note that the phosphorus spatial map is only available for the topsoil (0-20 cm) due to the unavailability of the dataset at deeper depths.
Description of soil properties (SP) and their units



SP
Description
units


Sand      
Sand content
%


Clay
Clay content
%


OC
Organic carbon content               
%


N
Nitrogen content
%              


P
Phosphorus content
mg/kg




For more details / to cite this dataset please use:



Gupta, S., Hasler, J. K., & Alewell, C. (2024). Mining soil data of Switzerland: New maps for soil texture, soil organic carbon, nitrogen, and phosphorus. Geoderma Regional, 36, e00747.


The Bulk density map for Switzerland can be downloaded from: https://doi.org/10.5281/zenodo.15274427

The Coarse fragment map for Switzerland can be downloaded from: https://doi.org/10.5281/zenodo.17453998
DOI: 10.5281/zenodo.7821650
title: Spatial soil properties maps for Switzerland at 30 m resolution

description: The Swiss Soil Property Map (SSPM) was developed using the quantile random forest machine learning algorithm and remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. The SSPM dataset provides maps at 30 m resolution for different soil depths (0, 30, 60, and 100 cm) in GeoTIFF format. The mean and respective uncertainty information is provided for each map. Please note that the phosphorus spatial map is only available for the topsoil (0-20 cm) due to the unavailability of the dataset at deeper depths.
Description of soil properties (SP) and their units



SP
Description
units


Sand      
Sand content
%


Clay
Clay content
%


OC
Organic carbon content               
%


N
Nitrogen content
%              


P
Phosphorus content
mg/kg




For more details / to cite this dataset please use:



Gupta, S., Hasler, J. K., & Alewell, C. (2024). Mining soil data of Switzerland: New maps for soil texture, soil organic carbon, nitrogen, and phosphorus. Geoderma Regional, 36, e00747.


The Bulk density map for Switzerland can be downloaded from: https://doi.org/10.5281/zenodo.15274427

The Coarse fragment map for Switzerland can be downloaded from: https://doi.org/10.5281/zenodo.17453998
DOI: 10.15468/dl.duuv5u
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-16.90915 35.45816,3.72537 35.45816,3.72537 43.70843,-16.90915 43.70843,-16.90915 35.45816))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arctium tomentosum"
 ]
}

 The dataset includes 31 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002372-251025141854904/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.30453503
title: Data for "Short-Term Soil Microbial Succession Responds Conversely to Fire Severity across Temperate Single and Mixed Forests"

description: Amplicon sequencing raw data<b>Abstract</b><b>Background</b>Under intensifying global climate change, increased wildfires threat forest ecosystem functions by altering soil physicochemical properties and microbial communities. Post-fire soil microbial succession is interactively regulated by forest type, fire severity, and recovery time, yet their seasonal successional trajectories remain unclear. This study investigates how fire severity and forest type (single/mixed) regulate soil microbial composition, structure, and successional trajectories in northern China’s warm-temperate forests across non-growing (NGS) and growing seasons (GS), while identifying key soil physicochemical drivers.<b>Results</b>Results demonstrate fire significantly shifts seasonal successional trajectories by expanding bacterial seasonal niche differentiation and disrupting fungal seasonal stability. Succession transitions from NGS communities dominated by <i>Muribaculaceae</i> (bacteria) and <i>Archaeorhizomyces</i> (fungi) to GS communities dominated by stress-tolerant bacteria (e.g., <i>Sphingomonas</i>, <i>Pseudomonas</i>) and plant-symbiotic fungi (e.g., <i>Russula</i>, <i>Inocybe</i>). High-severity fire elevated pH, inhibiting acid-sensitive ectomycorrhizal fungi while exacerbating nitrogen-phosphorus limitation, promoting bacterial reliance on phosphorus metabolism repair and fungal enzymatic strategies for nutrient acquisition. Forest type significantly regulated soil microbial succession: high-severity fire in single forests caused SOC loss, replacement of oligotrophic <i>Acidobacteriota</i> by copiotrophic <i>Proteobacteria</i>, and severe fungal diversity decline. Conversely, mixed forests sustained mutualistic interactions involving <i>Actinobacteria</i> and drought-tolerant fungi (<i>Mortierellales</i>), demonstrating greater resilience. Soil pH, TN, and TP were identified as key drivers of microbial restructuring.<b>Conclusion</b>This study highlights that fire severity and forest type jointly shape short-time microbial succession by regulating soil pH, nutrient availability, and microhabitat stability after fire. Our results recommend prioritizing mixed forest conservation in fire-prone regions to enhance ecosystem resilience and microbial-mediated nutrient cycling.
DOI: 10.6084/m9.figshare.30453503.v1
title: Data for "Short-Term Soil Microbial Succession Responds Conversely to Fire Severity across Temperate Single and Mixed Forests"

description: Amplicon sequencing raw data<b>Abstract</b><b>Background</b>Under intensifying global climate change, increased wildfires threat forest ecosystem functions by altering soil physicochemical properties and microbial communities. Post-fire soil microbial succession is interactively regulated by forest type, fire severity, and recovery time, yet their seasonal successional trajectories remain unclear. This study investigates how fire severity and forest type (single/mixed) regulate soil microbial composition, structure, and successional trajectories in northern China’s warm-temperate forests across non-growing (NGS) and growing seasons (GS), while identifying key soil physicochemical drivers.<b>Results</b>Results demonstrate fire significantly shifts seasonal successional trajectories by expanding bacterial seasonal niche differentiation and disrupting fungal seasonal stability. Succession transitions from NGS communities dominated by <i>Muribaculaceae</i> (bacteria) and <i>Archaeorhizomyces</i> (fungi) to GS communities dominated by stress-tolerant bacteria (e.g., <i>Sphingomonas</i>, <i>Pseudomonas</i>) and plant-symbiotic fungi (e.g., <i>Russula</i>, <i>Inocybe</i>). High-severity fire elevated pH, inhibiting acid-sensitive ectomycorrhizal fungi while exacerbating nitrogen-phosphorus limitation, promoting bacterial reliance on phosphorus metabolism repair and fungal enzymatic strategies for nutrient acquisition. Forest type significantly regulated soil microbial succession: high-severity fire in single forests caused SOC loss, replacement of oligotrophic <i>Acidobacteriota</i> by copiotrophic <i>Proteobacteria</i>, and severe fungal diversity decline. Conversely, mixed forests sustained mutualistic interactions involving <i>Actinobacteria</i> and drought-tolerant fungi (<i>Mortierellales</i>), demonstrating greater resilience. Soil pH, TN, and TP were identified as key drivers of microbial restructuring.<b>Conclusion</b>This study highlights that fire severity and forest type jointly shape short-time microbial succession by regulating soil pH, nutrient availability, and microhabitat stability after fire. Our results recommend prioritizing mixed forest conservation in fire-prone regions to enhance ecosystem resilience and microbial-mediated nutrient cycling.
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0001150.1
title: 1H--1H correlation spectroscopy (1H-1H COSY) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0000482
title: electrospray ionisation mass spectrometry (ESMS) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for electrospray ionisation mass spectrometry (ESMS)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0001148.1
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.15468/dl.4dkcjs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrobrachium sintangense",
 "Country is Singapore",
 "OccurrenceStatus is Present",
 "EventDate is 1800,2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002373-251025141854904/datasets/export for details.
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0000482
title: electrospray ionisation mass spectrometry (ESMS) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for electrospray ionisation mass spectrometry (ESMS)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0000593.2
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n.2
title: 4-bromo-7-hydroxy[2.2]paracyclophane
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2, and canonical SMILES descriptor[cheminf_000007]: Oc1cc2CCc3ccc(CCc1cc2Br)cc3, and by the IUPAC name[cheminf_000107]: 15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-58205

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 178.0 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0001150 | 1H--1H correlation spectroscopy (1H-1H COSY)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0001148 | 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000482 | electrospray ionisation mass spectrometry (ESMS)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/xttpbmxgiikytj-uhfffaoysa-n.1
title: 4-bromo-5-hydroxy[2.2]paracyclophane
title: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C16H15BrO/c17-15-13-7-5-11-1-3-12(4-2-11)6-8-14(10-9-13)16(15)18/h1-4,9-10,18H,5-8H2, and canonical SMILES descriptor[cheminf_000007]: Brc1c2CCc3ccc(CCc(c1O)cc2)cc3, and by the IUPAC name[cheminf_000107]: 6-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-58214

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 156.0 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0001148 | 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0000482 | electrospray ionisation mass spectrometry (ESMS)
 
 CHMO:0001150 | 1H--1H correlation spectroscopy (1H-1H COSY)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/cifgalrtiqktnb-uhfffaoysa-n/chmo0001146.1
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (15-bromotricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaen-5-ol)
title: InChI=1S/C16H15BrO/c17-15-9-14-8-6-12-3-1-11(2-4-12)5-7-13(15)10-16(14)18/h1-4,9-10,18H,5-8H2

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.15468/dl.v22gpj
title: Occurrence Download

description: A dataset containing 2212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ageratina adenophora",
 "Year 2001-2025"
 ]
}

 The dataset includes 2212 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002374-251025141854904/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.30454133
title: Dataset Measuring digital entrepreneurial competencies in the Republic of Serbia

description: The dataset <b>“Merenje digitalnih preduzetničkih kompetencija u Republici Srbiji (Responses)”</b> contains data collected through an online survey designed to measure <b>digital entrepreneurial competencies (DEC)</b> among Serbian university students. It includes <b>149 responses</b> gathered from undergraduate and master’s students, primarily from the <i>Belgrade Banking Academy</i>, with participants representing various study fields such as finance, management, marketing, accounting, and IT in finance. The dataset is structured in <b>33 columns</b>, beginning with demographic variables—such as higher education institution, study level, field of study, employment status, gender, age, and parental education—and continuing with self-assessment items related to DEC. These items are based on the <b>EmDigital framework</b> and use 5-point Likert scales to capture students’ perceived skills in areas like creativity and innovation, information search and analysis, and business prospecting. In addition to self-evaluative questions, the dataset includes <b>applied knowledge items</b>, such as identifying digital tools for email marketing, catalog creation, or business modeling (e.g., <i>Business Model Canvas</i>, <i>freemium model</i>). Some open-ended questions allow qualitative insight into students’ reasoning and examples (e.g., naming an emerging technology or explaining budgeting decisions). The dataset is suitable for <b>descriptive and inferential analysis</b>, including comparisons across demographic groups, and can be used to explore how contextual and personal factors influence perceived digital entrepreneurial abilities.
DOI: 10.6084/m9.figshare.30454133.v1
title: Dataset Measuring digital entrepreneurial competencies in the Republic of Serbia

description: The dataset <b>“Merenje digitalnih preduzetničkih kompetencija u Republici Srbiji (Responses)”</b> contains data collected through an online survey designed to measure <b>digital entrepreneurial competencies (DEC)</b> among Serbian university students. It includes <b>149 responses</b> gathered from undergraduate and master’s students, primarily from the <i>Belgrade Banking Academy</i>, with participants representing various study fields such as finance, management, marketing, accounting, and IT in finance. The dataset is structured in <b>33 columns</b>, beginning with demographic variables—such as higher education institution, study level, field of study, employment status, gender, age, and parental education—and continuing with self-assessment items related to DEC. These items are based on the <b>EmDigital framework</b> and use 5-point Likert scales to capture students’ perceived skills in areas like creativity and innovation, information search and analysis, and business prospecting. In addition to self-evaluative questions, the dataset includes <b>applied knowledge items</b>, such as identifying digital tools for email marketing, catalog creation, or business modeling (e.g., <i>Business Model Canvas</i>, <i>freemium model</i>). Some open-ended questions allow qualitative insight into students’ reasoning and examples (e.g., naming an emerging technology or explaining budgeting decisions). The dataset is suitable for <b>descriptive and inferential analysis</b>, including comparisons across demographic groups, and can be used to explore how contextual and personal factors influence perceived digital entrepreneurial abilities.
DOI: 10.15468/dl.ehunpe
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Platyrrhinus ismaeli"
 ]
}

 The dataset includes 92 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002375-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.