cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25381/cput.27884031
title: Challenges faced by Cameroon women operating informal businesses in selected Cape Metropole areas.

description: ethical ref #: 3017FBREC422.This study examines the challenges confronting Cameroonian women engaged in informal enterprises within specific areas of the Cape Metropole, South Africa. The research employed a mixed-methods approach to data collection and analysis. A quantitative survey of 104 Cameroonian immigrant entrepreneurs was complemented by qualitative in-depth interviews with government officials and business support organisations. Snowball sampling was used to recruit participants. Quantitative data were analyzed using SPSS, while qualitative data underwent content analysis. Findings indicate that Cameroonian women entrepreneurs face significant obstacles, including crime, financial constraints, and family responsibilities. These challenges adversely impact their businesses, which primarily operate in sectors such as hairdressing, African food, and tailoring. Participants leveraged limited capital from personal savings, social networks, and communal savings associations. The study population ranged in age from 20 to 60 years, with varying educational levels. A lack of formal employment opportunities was identified as the primary motivation for entrepreneurial pursuits among African immigrants. Despite South Africa's economic and security challenges, the study recommends government support for informal enterprises, particularly those owned by immigrant women. Policy measures such as reduced taxation and regulatory burdens for small businesses, especially those owned by immigrants, to foster growth, profitability, and sustainability.
DOI: 10.25381/cput.27884031.v1
title: Challenges faced by Cameroon women operating informal businesses in selected Cape Metropole areas.

description: ethical ref #: 3017FBREC422.This study examines the challenges confronting Cameroonian women engaged in informal enterprises within specific areas of the Cape Metropole, South Africa. The research employed a mixed-methods approach to data collection and analysis. A quantitative survey of 104 Cameroonian immigrant entrepreneurs was complemented by qualitative in-depth interviews with government officials and business support organisations. Snowball sampling was used to recruit participants. Quantitative data were analyzed using SPSS, while qualitative data underwent content analysis. Findings indicate that Cameroonian women entrepreneurs face significant obstacles, including crime, financial constraints, and family responsibilities. These challenges adversely impact their businesses, which primarily operate in sectors such as hairdressing, African food, and tailoring. Participants leveraged limited capital from personal savings, social networks, and communal savings associations. The study population ranged in age from 20 to 60 years, with varying educational levels. A lack of formal employment opportunities was identified as the primary motivation for entrepreneurial pursuits among African immigrants. Despite South Africa's economic and security challenges, the study recommends government support for informal enterprises, particularly those owned by immigrant women. Policy measures such as reduced taxation and regulatory burdens for small businesses, especially those owned by immigrants, to foster growth, profitability, and sustainability.
DOI: 10.15468/dl.r2mze8
title: Occurrence Download

description: A dataset containing 193833 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus laurocerasus L."
 ]
}

 The dataset includes 193833 records from 1141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070626-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kzvdgfzk4w.1
title: Warsaw Bike-Sharing Daily Periods Graph Dataset for Graph Neural Network (GNN) - Season 2023

description: 1. Graph Structure and Attributes
These data are represented as directed graphs (DiGraphs) where each station in the Warsaw bike-sharing system (BSS) is a node. Node attributes include coordinates (lat, lng), average bike availability (avg_bikes, avg_freeRacks), weather conditions (temp, precipitation, wind_speed), and distances to points of interest (d_city_cen, d_metro_st, etc.). Additional binary flags (e.g., is_monday, is_holiday) indicate time- or date-based factors. Edges capture flows between stations, with attributes such as trips_count plus “_start” and “_end” fields (e.g., temp_start, temp_end) reflecting conditions at each node.

2. Data Collection
Readings were taken every 5 minutes from May 6 to November 29, 2023, totaling 18.39 GB of JSON files. Each record includes station info (bike/rack counts), plus enriched data: weather (via a weather API), distances to infrastructure (via Google Maps Places API), and urban indicators (population density). Flows were aggregated to form edges. To reduce complexity, five daily intervals (morning rush, midday, afternoon peak, evening, night) were defined, yielding 1,039 graphs instead of 5,000.

3. Access to Files
Each file (e.g., afternoon_peak_01_06_2023.pt) contains a single DiGraph with 295 nodes and 1684 edges. Users can download files and load them in Python:

"import pickle

with open("afternoon_peak_01_06_2023.pt", "rb") as f:
 G = pickle.load(f)"

Files are provided in a NetworkX-compatible format; selected files are also adapted for PyTorch Geometric.

4. Additional Information

This dataset captures real bike usage in Warsaw, useful for spatiotemporal analysis, machine learning, and urban mobility research.
No personal IDs are included; only aggregated trip counts.
Attributes such as d_city_cen or conditions offer context for demand forecasting and infrastructure-impact studies.
If you find this dataset helpful, please cite it as indicated in the repository.
License and usage terms are described in the accompanying documentation, ensuring open-access for academic and non-commercial use.
DOI: 10.17632/hy7dhrk56j.1
title: research data_heavy haul railway

description: The research data is derived from landslide investigations along the Shuohuang Railway, including historical records of 1,185 landslide points provided by the Natural Resources and Planning Bureau, as well as environmental and geological parameters extracted through remote sensing and GIS analysis. The initial dataset comprises 14 influencing factors, such as elevation, slope, road and river densities, lithology, fault density, NDVI, rainfall, SPI, and TWI. Pearson correlation analysis was applied to select 10 key factors, improving model performance and reducing data dimensionality. The dataset was divided into training, validation, and testing sets (70%, 10%, 20%), and the 3-Sigma rule was used to remove outliers, ensuring the reliability of model inputs. The landslide susceptibility zoning maps generated by the model outputs were spatially analyzed using GIS, providing a scientific basis for disaster risk management in complex geological regions.
DOI: 10.17632/dr6yhc3x6k
title: Data and codes from: Unveiling seral dynamics from spatiotemporal patterns of insect succession on carcasses

description: Twelve domestic pig carcasses (Sus scrofa domesticus) were used as experimental units and proxies for human cadavers. Each carcass weighed approximately 22.8 ± 0.4 kg (mean ± SEM; ranging from 20.6 to 24.9 kg). The carcasses were randomly assigned to either Block 1 or Block 2, and to one of six sub-sites within each block at Site B. Carcasses were visited daily in a predetermined random order. First, the number of individuals by recognizable taxonomic units (RTU; species, genera, or family) was visually estimated for up to 5 minutes. The cage was removed, and flying insects were collected for up to 10 minutes using a handheld net, followed by another 10 minutes of collecting ground insects with forceps. To avoid potential effects on the taxonomic composition, collections were limited to specimens that could not be readily identified in the field. Insect specimens were placed in vials containing 70% isopropanol. The decay stage of carcasses was determined daily using definitions from Michaud and Moreau (2009), namely fresh, bloated, active, advanced, and dry decay. All specimens were transported to the laboratory and identified using current identification keys.
DOI: 10.17632/dr6yhc3x6k.1
title: Data and codes from: Unveiling seral dynamics from spatiotemporal patterns of insect succession on carcasses

description: Twelve domestic pig carcasses (Sus scrofa domesticus) were used as experimental units and proxies for human cadavers. Each carcass weighed approximately 22.8 ± 0.4 kg (mean ± SEM; ranging from 20.6 to 24.9 kg). The carcasses were randomly assigned to either Block 1 or Block 2, and to one of six sub-sites within each block at Site B. Carcasses were visited daily in a predetermined random order. First, the number of individuals by recognizable taxonomic units (RTU; species, genera, or family) was visually estimated for up to 5 minutes. The cage was removed, and flying insects were collected for up to 10 minutes using a handheld net, followed by another 10 minutes of collecting ground insects with forceps. To avoid potential effects on the taxonomic composition, collections were limited to specimens that could not be readily identified in the field. Insect specimens were placed in vials containing 70% isopropanol. The decay stage of carcasses was determined daily using definitions from Michaud and Moreau (2009), namely fresh, bloated, active, advanced, and dry decay. All specimens were transported to the laboratory and identified using current identification keys.
DOI: 10.15493/saeon.egagasini.20241111
title: Raw data collected for the P1713 project carried out by Searcher Seismic

description:  This dataset comprises of raw data that was collected for the P1713 project (pre-survey), it includes sound source verification (SSV), and marine mammal (MM) surveys carried out for Searcher Seismic. The acoustic data collected using a drifting sound recorders are stored by date sub-folders of WAV folders for each of the four drifts (3 MM drifts, and a single SSV drift). Drift A - offshore operational area, prior to the beginning of a seismic survey. Drift C - offshore ring-fenced fishery area close to the continental shelf edge. Drift D - inshore area of the snoek fishery. Drift SSV - SSV sound recording at the offshore operational area adjacent to the seismic source vessel. The data sharing was facilitated through the South African Marine Research and Exploration Forum (SAMREF) an Operation Phakisa Oceans Economy Lab project. Certain files within the dataset require a specific software to access and open the files. For further details, contact us.
DOI: 10.15468/dl.e7n7va
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caulotrupis parvus Israelson, 1985",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070705-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2bkvr
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "TaxonKey is Pan troglodytes (Blumenbach, 1775)"
 ]
}

 The dataset includes 298 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070702-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14652034
title: IMKONIYATI CHEKLANGAN YOSHLAR KASB-HUNAR MAKTABIDA AXBOROT VOSITALARIDAN FOYDALANISH USUL VA VOSITALARI

description: Ushbu maqolada imkoniyati cheklangan yoshlar kasb-hunar maktabida axborot vositalaridan foydalanish usul va vositalari xaqida muhim ma’lumotlar berilgan. Axborot vositalari, jumladan televidenie, radio, gazeta va internetning o‘quvchi yoshlar ongiga ta’siri, ularning mazmuni, turli g‘oyalar va qarashlar, yoshlar ongida milliy mentalitetga to‘g‘ri kelmaydigan yot g‘oyalarni paydo qilishga sabab bo‘lmoqda, shu sababdan, axborot vositalaridan
DOI: 10.5281/zenodo.14652035
title: IMKONIYATI CHEKLANGAN YOSHLAR KASB-HUNAR MAKTABIDA AXBOROT VOSITALARIDAN FOYDALANISH USUL VA VOSITALARI

description: Ushbu maqolada imkoniyati cheklangan yoshlar kasb-hunar maktabida axborot vositalaridan foydalanish usul va vositalari xaqida muhim ma’lumotlar berilgan. Axborot vositalari, jumladan televidenie, radio, gazeta va internetning o‘quvchi yoshlar ongiga ta’siri, ularning mazmuni, turli g‘oyalar va qarashlar, yoshlar ongida milliy mentalitetga to‘g‘ri kelmaydigan yot g‘oyalarni paydo qilishga sabab bo‘lmoqda, shu sababdan, axborot vositalaridan
DOI: 10.15468/dl.tur8c7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichaptum podocarpi Y.C.Dai"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070708-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14651516
title: Leveraging computational intelligence to identify plant-derived compounds targeting TSWV-thrips protein interactions

description: Using in silico-based methods represents a cost-effective approach to rapidly identify safe and high-efficacy nature-derived compounds for managing the Tomato Spot Wilt Virus (TSWV) and its thrips vector species. This study employed modeling, validation, and optimization of the virus's and its insect vector's protein structures to determine binding sites and conduct protein-protein docking. Hotspot residues were identified to perform protein-ligand docking against a library of natural compounds with known insecticidal or antiviral activity. Og1, 3-indolacetic acid, lithospermic acid, and scutellarin exhibited high binding affinity to all three proteins. ADMET analysis revealed og1 as a safe and eco-friendly inhibitor. Molecular dynamic simulations demonstrated that the N- and C-termini exhibit significant flexibility, while the binding sites for each ligand remain relatively stable. This flexibility in the termini could potentially enhance adaptability in movements, aiding in ligand binding and demonstrating a dynamic interaction between the protein and ligand. The H-bond occupancy of the virus's envelopment glycoprotein, thrips' endocuticle structural glycoprotein-GN, and the thrips' ATP synthase subunit alpha in complex with og1 ranged from 13.7% to 44.0%, 11%, and 10.5% to 36.7%, respectively. The free binding energy of these proteins complexed with og1 was calculated as -60.973, -41.243, and -48.517 kcal/mol, respectively. Based on PCA-based FEL analysis, representative structures from each energy basin provided further evidence of the structural differences among conformations. In conclusion, these findings suggest the potential of og1 as a basis for designing and developing a future bio-insecticide/bio-antiviral agent.
DOI: 10.5281/zenodo.14651517
title: Leveraging computational intelligence to identify plant-derived compounds targeting TSWV-thrips protein interactions

description: Using in silico-based methods represents a cost-effective approach to rapidly identify safe and high-efficacy nature-derived compounds for managing the Tomato Spot Wilt Virus (TSWV) and its thrips vector species. This study employed modeling, validation, and optimization of the virus's and its insect vector's protein structures to determine binding sites and conduct protein-protein docking. Hotspot residues were identified to perform protein-ligand docking against a library of natural compounds with known insecticidal or antiviral activity. Og1, 3-indolacetic acid, lithospermic acid, and scutellarin exhibited high binding affinity to all three proteins. ADMET analysis revealed og1 as a safe and eco-friendly inhibitor. Molecular dynamic simulations demonstrated that the N- and C-termini exhibit significant flexibility, while the binding sites for each ligand remain relatively stable. This flexibility in the termini could potentially enhance adaptability in movements, aiding in ligand binding and demonstrating a dynamic interaction between the protein and ligand. The H-bond occupancy of the virus's envelopment glycoprotein, thrips' endocuticle structural glycoprotein-GN, and the thrips' ATP synthase subunit alpha in complex with og1 ranged from 13.7% to 44.0%, 11%, and 10.5% to 36.7%, respectively. The free binding energy of these proteins complexed with og1 was calculated as -60.973, -41.243, and -48.517 kcal/mol, respectively. Based on PCA-based FEL analysis, representative structures from each energy basin provided further evidence of the structural differences among conformations. In conclusion, these findings suggest the potential of og1 as a basis for designing and developing a future bio-insecticide/bio-antiviral agent.
DOI: 10.3886/e192931
title: Data and Code for "Government Transfers and Votes for State Intervention"

description: Government transfers might have long-lasting consequences on electoral outcomes.<br>We study a regional policy implemented in Italy over the second half of the twentieth<br>century and leverage variation in transfers to show that parties promoting more state intervention in the economy performed better in the targeted areas relative to places<br>that were not subsidized, decades after the end of the policy. This effect does not seem<br>to mirror long-term differences in the economic performance of treated and control<br>areas, which were small, nor other attitudes within the electorate.
description: Italian municipalities.
DOI: 10.3886/e192931v1-164062
title: Data and Code for "Government Transfers and Votes for State Intervention"

description: Government transfers might have long-lasting consequences on electoral outcomes.<br>We study a regional policy implemented in Italy over the second half of the twentieth<br>century and leverage variation in transfers to show that parties promoting more state intervention in the economy performed better in the targeted areas relative to places<br>that were not subsidized, decades after the end of the policy. This effect does not seem<br>to mirror long-term differences in the economic performance of treated and control<br>areas, which were small, nor other attitudes within the electorate.
description: Italian municipalities.
DOI: 10.5281/zenodo.14652071
title: The germacrane sesquiterpene lactones erioflorin and erioflorin acetate isolated from Podanthus mitiqui induce cell death against castration-resistant prostate cancer cell lines by increasing ROS and NF-κB modulation

description: Contains primary NMR files (FID) of natural products erioflorin and erioflorin acetate isolated from Podanthus mitiqui, described in the above mentioned paper
DOI: 10.5281/zenodo.14652072
title: The germacrane sesquiterpene lactones erioflorin and erioflorin acetate isolated from Podanthus mitiqui induce cell death against castration-resistant prostate cancer cell lines by increasing ROS and NF-κB modulation

description: Contains primary NMR files (FID) of natural products erioflorin and erioflorin acetate isolated from Podanthus mitiqui, described in the above mentioned paper
DOI: 10.5281/zenodo.14652012
title: test1

description: this is the dummy data to test FAIRness
DOI: 10.5281/zenodo.14652011
title: test1

description: This is the dummy data to test FAIRness.  Free to access.
DOI: 10.5281/zenodo.14652091
title: test1

description: This is the dummy data to test FAIRness.  Free to access.
DOI: 10.5281/zenodo.6804792
title: Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022.

description: Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022. 


Please refer to our website: https://vessel-wall-segmentation-2022.grand-challenge.org/.
DOI: 10.5281/zenodo.6804793
title: Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022.

description: Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022. 


Please refer to our website: https://vessel-wall-segmentation-2022.grand-challenge.org/.
DOI: 10.15468/dl.6qfg44
title: Occurrence Download

description: A dataset containing 288392 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lutra Brisson, 1762"
 ]
}

 The dataset includes 288392 records from 1166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070645-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ir4np7
title: Occurrence Download

description: A dataset containing 5201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cervus nippon Temminck, 1838"
 ]
}

 The dataset includes 5201 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016056-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3j6e3
title: Occurrence Download

description: A dataset containing 2928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia humifusa Willd.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2928 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018400-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y14kah
title: Occurrence Download

description: A dataset containing 1279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis latrans Say, 1823",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1990-2010"
 ]
}

 The dataset includes 1279 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016057-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxspkc
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Liolaemus cyanogaster (Duméril & Bibron, 1837)"
 ]
}

 The dataset includes 291 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084008-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwzdfp
title: Occurrence Download

description: A dataset containing 3519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3519 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016057-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.