cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/56zskrvfwf
title: Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice (Household survey)

description: The data was collected and formed part of a project called Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice which is co-funded by the Dutch Research Council (NWO) in the Netherlands and the National Research Foundation (NRF) in South Africa. The objective of the project was to highlight how social justice is enhanced by conditions of WEF nexus governance. This was achieved through a transdisciplinary approach to how a conceptual “WEF community” can be an agent of change through empowerment in WEF nexus governance by providing legal instruments that can be used and encouraging decision-making synergies from household to national levels. This was envisioned by deciphering how WEF resources and decision-making are produced, used, and distributed, their linkages, and the representation of marginal groups across scales. The opportunities and challenges of incorporating WEF community initiatives in South Africa’s legal framework were also evaluated by comparing them to the EU legislation to increase legal certainty and social justice

The data set referred herein concerns part of the project which collected quantitative data through a questionnaire of 1184 household in South Africa. The household were purposively selected from Matatiele, Magareng and Greater Taung Local Municipalities.
DOI: 10.17632/56zskrvfwf.2
title: Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice (Household survey)

description: The data was collected and formed part of a project called Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice which is co-funded by the Dutch Research Council (NWO) in the Netherlands and the National Research Foundation (NRF) in South Africa. The objective of the project was to highlight how social justice is enhanced by conditions of WEF nexus governance. This was achieved through a transdisciplinary approach to how a conceptual “WEF community” can be an agent of change through empowerment in WEF nexus governance by providing legal instruments that can be used and encouraging decision-making synergies from household to national levels. This was envisioned by deciphering how WEF resources and decision-making are produced, used, and distributed, their linkages, and the representation of marginal groups across scales. The opportunities and challenges of incorporating WEF community initiatives in South Africa’s legal framework were also evaluated by comparing them to the EU legislation to increase legal certainty and social justice

The data set referred herein concerns part of the project which collected quantitative data through a questionnaire of 1184 household in South Africa. The household were purposively selected from Matatiele, Magareng and Greater Taung Local Municipalities.
DOI: 10.17632/gdx88b857s.1
title: High-throughput capture of actively transcribed region-interacting sequences reveals an intricate promoter-centered regulatory network

description: Western blot analysis of CTCF before and after IAA-induced degradation in K562 cells
DOI: 10.15468/dl.m6f49b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ziziphus mauritiana",
 "Country is Qatar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018833-250711103210423/datasets/export for details.
DOI: 10.15468/dl.r23byn
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoplosternum thoracatum thoracatum"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018836-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4ehbz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Miliaceae, Ophiuraceae, Oryzaceae, Panicaceae, Pappophoraceae, Parianaceae, Paspalaceae, Phalaridaceae, Pharaceae, Sporobolaceae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018834-250711103210423/datasets/export for details.
DOI: 10.17632/52gxfr4h7d
title: Endocytosis is essential for cysteine deprivation-induced ferroptosis

description: WB raw data
DOI: 10.17632/52gxfr4h7d.1
title: Endocytosis is essential for cysteine deprivation-induced ferroptosis

description: WB raw data
DOI: 10.15468/dl.khp4yn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ziziphus mauritiana",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018835-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6aya52
title: Occurrence Download

description: A dataset containing 125918 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carlina acaulis"
 ]
}

 The dataset includes 125918 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018735-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pyszw5kc2n
title: Data Base_a cross-sectional study_HPEPSS-Brazil

description: Data were collected from a cross-sectional study conducted with Higher education students in the last two years of Nursing, Pharmacy, and Medicine courses from fifteen federal public universities distributed across the five Brazilian regions. Data were collected from August 2023 to July 2024 using a self-administered instrument—the Health Professional Education Patient Safety Survey (HPEPSS)—adapted and validated in Brazil. A total of 368 students participated in the study. The analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 20.0 and R 4.2.2 software.
DOI: 10.15468/dl.ztdr4a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Daktulosphaira vitifoliae",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018837-250711103210423/datasets/export for details.
DOI: 10.17632/pyszw5kc2n.1
title: Data Base_a cross-sectional study_HPEPSS-Brazil

description: Data were collected from a cross-sectional study conducted with Higher education students in the last two years of Nursing, Pharmacy, and Medicine courses from fifteen federal public universities distributed across the five Brazilian regions. Data were collected from August 2023 to July 2024 using a self-administered instrument—the Health Professional Education Patient Safety Survey (HPEPSS)—adapted and validated in Brazil. A total of 368 students participated in the study. The analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 20.0 and R 4.2.2 software.
DOI: 10.15483/2571850
title: Baseline vs. DER Scenario

description: Projections and associated uncertainty estimates are generated for a variety of user-selectable EV charging sessions, electricity tariffs, subsidy levels, revenue schemes, charging station configurations, and on-site solar and/or storage options. The outputs are presented in CHIP's web portal browser in the form of easily interpretable graphics (interactive graphs and bar charts) that facilitate convenient comparison among different scenarios to aid decision-making. The user should bring assumptions for modeling on simulation planning horizon, number of EV charging sessions per year, electricity costs (energy and demand charge rates; flat versus time-of-use rate), site capital costs (equipment for EV chargers and transformer), solar PV, and battery energy storage (kW).
DOI: 10.15468/dl.gvtwsf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calamagrostis glauca, Calamagrostis glauca, Calamagrostis glauca latifolia, Calamagrostis hedinii, Calamagrostis lanceolata armena, Calamagrostis laxa, Calamagrostis laxa transsilvanica, Calamagrostis littorea, Calamagrostis littorea, Calamagrostis littorea abbreviata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018838-250711103210423/datasets/export for details.
DOI: 10.17632/c2hrwntzgh
title: Cauliflower Diseases Identification Image Dataset

description: The cauliflower disease image dataset consists of four well-defined classes: Bacterial Spot Rot, Black Rot, Downy Mildew, and Healthy Fruit. Each class includes 100 original RGB images with a resolution of 224×224 pixels, captured under natural lighting to preserve real-world features. To improve model performance and increase data diversity, 600 augmented images per class were generated using standard augmentation techniques such as rotation, flipping, zooming, brightness variation, noise addition, and translation. This brings the total number of images in the dataset to 2,800, with 700 images for each class. The dataset is well-balanced and specifically curated to support deep learning-based classification and detection of common cauliflower diseases, providing a reliable benchmark for training and evaluation of plant disease recognition models.
DOI: 10.17632/c2hrwntzgh.2
title: Cauliflower Diseases Identification Image Dataset

description: The cauliflower disease image dataset consists of four well-defined classes: Bacterial Spot Rot, Black Rot, Downy Mildew, and Healthy Fruit. Each class includes 100 original RGB images with a resolution of 224×224 pixels, captured under natural lighting to preserve real-world features. To improve model performance and increase data diversity, 600 augmented images per class were generated using standard augmentation techniques such as rotation, flipping, zooming, brightness variation, noise addition, and translation. This brings the total number of images in the dataset to 2,800, with 700 images for each class. The dataset is well-balanced and specifically curated to support deep learning-based classification and detection of common cauliflower diseases, providing a reliable benchmark for training and evaluation of plant disease recognition models.
DOI: 10.17632/nk4yptgpww
title: Olfactory preferences and chemical differences of fruit odors for Aedes aegypti mosquitoes

description: Data for behavioral assays associated with "Olfactory preferences and chemical differences of fruit odors for Aedes aegypti mosquitoes." 

The data corresponds to the number of mosquitoes attracted to the different traps emitting the fruit odors. Fruits were tested, corresponding to : 1) mangoes: M. indica ‘Ataulfo,’ ‘Tommy Atkins,’ and ‘Keitt,’; 2) guavas: Psidium guajava ‘Pink’ and ‘White’; 3) plums: Prunus salicinia ‘Santa Rosa,’ and ‘Burgundy,’; 4) peaches: P. persica ‘White Lady,’ and ‘Monroe’; 5) nectarines: P. persica variety (var) nucipersica ‘Fantasia,’ and ‘Snow Queen’; 6) bananas and plantains: Musa acuminata ‘Cavendish,’ and M. x paradisiaca; 7) pears: Pyrus communis ‘Williams,’ and Pyrus pyrifolia ‘Korean’; 8) date palms: Phoenix dactylifera ‘Barhi’ and ‘Medjool’; 9) tomatoes: Lycopersicon esculentum; and 10) lemons: Citrus limon. 

The cell values correspond to the number of mosquitoes attracted to the traps, where each cell is an individual trial and the mean+/-SEM is also included. To measure the preference of female and male mosquitoes towards fruit odors, a two-choice behavior assay was created consisting of a cage (Bugdorm, 60cm x 60cm x 60cm) with two smaller traps (35 cm long) placed inside (Fig 1A). Both traps contained an opaque glass chamber where the whole fruit or a negative control (10% sugar cotton ball) was placed. This chamber was connected by a polytetrafluoroethylene tube to a funnel trap, allowing odor from the fruit or control to passively enter the trap from the first chamber. Mosquitoes were allowed to choose between experimental and control traps, and if attracted, readily navigated and flew into the opening of the trap. The experiment lasted for 48 hours. Statistical analyses were conducted using the Matlab software, v2020b (Mathworks, Natick, MA, USA). The response variable for the behavioral preference assays was the number of mosquitoes in each trap. Non-parametric Mann-Whitney U-tests were deemed suitable, given the lack of normality for within-genera and within-species comparisons. A significant criterion of 0.05 was used for all statistical testing, except those involving multiple comparisons where the criterion was adjusted.
DOI: 10.17632/nk4yptgpww.1
title: Olfactory preferences and chemical differences of fruit odors for Aedes aegypti mosquitoes

description: Data for behavioral assays associated with "Olfactory preferences and chemical differences of fruit odors for Aedes aegypti mosquitoes." 

The data corresponds to the number of mosquitoes attracted to the different traps emitting the fruit odors. Fruits were tested, corresponding to : 1) mangoes: M. indica ‘Ataulfo,’ ‘Tommy Atkins,’ and ‘Keitt,’; 2) guavas: Psidium guajava ‘Pink’ and ‘White’; 3) plums: Prunus salicinia ‘Santa Rosa,’ and ‘Burgundy,’; 4) peaches: P. persica ‘White Lady,’ and ‘Monroe’; 5) nectarines: P. persica variety (var) nucipersica ‘Fantasia,’ and ‘Snow Queen’; 6) bananas and plantains: Musa acuminata ‘Cavendish,’ and M. x paradisiaca; 7) pears: Pyrus communis ‘Williams,’ and Pyrus pyrifolia ‘Korean’; 8) date palms: Phoenix dactylifera ‘Barhi’ and ‘Medjool’; 9) tomatoes: Lycopersicon esculentum; and 10) lemons: Citrus limon. 

The cell values correspond to the number of mosquitoes attracted to the traps, where each cell is an individual trial and the mean+/-SEM is also included. To measure the preference of female and male mosquitoes towards fruit odors, a two-choice behavior assay was created consisting of a cage (Bugdorm, 60cm x 60cm x 60cm) with two smaller traps (35 cm long) placed inside (Fig 1A). Both traps contained an opaque glass chamber where the whole fruit or a negative control (10% sugar cotton ball) was placed. This chamber was connected by a polytetrafluoroethylene tube to a funnel trap, allowing odor from the fruit or control to passively enter the trap from the first chamber. Mosquitoes were allowed to choose between experimental and control traps, and if attracted, readily navigated and flew into the opening of the trap. The experiment lasted for 48 hours. Statistical analyses were conducted using the Matlab software, v2020b (Mathworks, Natick, MA, USA). The response variable for the behavioral preference assays was the number of mosquitoes in each trap. Non-parametric Mann-Whitney U-tests were deemed suitable, given the lack of normality for within-genera and within-species comparisons. A significant criterion of 0.05 was used for all statistical testing, except those involving multiple comparisons where the criterion was adjusted.
DOI: 10.15468/dl.uea4ye
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callichthys longifilis"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018841-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7n73mp5ngp
title: Appendix for Supporting Evidence and Recommendations for the Management of Patients with Systemic-Eligible Atopic Dermatitis: A Canadian Consensus Document

description: Supplemental information describing the literature search and consensus methodology used to develop the consensus document.
DOI: 10.17632/7n73mp5ngp.1
title: Appendix for Supporting Evidence and Recommendations for the Management of Patients with Systemic-Eligible Atopic Dermatitis: A Canadian Consensus Document

description: Supplemental information describing the literature search and consensus methodology used to develop the consensus document.
DOI: 10.6084/m9.figshare.29575898
title: Y1000+ Carbon Class dataset.

description: Carbon Class (Standard = 0, Generalists = 1, Specialists =2) dataset for "Machine learning enables identification of an alternative yeast galactose utilization pathway"
DOI: 10.6084/m9.figshare.29575898.v1
title: Y1000+ Carbon Class dataset.

description: Carbon Class (Standard = 0, Generalists = 1, Specialists =2) dataset for "Machine learning enables identification of an alternative yeast galactose utilization pathway"
DOI: 10.15468/dl.xgjtqx
title: Occurrence Download

description: A dataset containing 79568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 5000.0",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cathartes aura"
 ]
}

 The dataset includes 79568 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018807-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/srz9x8ym84
title: MovementAnalysis_ResearchData_alAndalus

description: This study presents a methodological approach for reconstructing hypothetical maritime routes in the western Mediterranean during the al-Andalus period, using Geographic Information Systems (GIS) as a central analytical tool. By combining multi-criteria spatial analysis with both Least-Cost Path (LCP) and Accumulated Cost Surface (ACS) modelling, we simulate navigation trajectories across the Alboran Sea between the Iberian Peninsula and North Africa. These simulations incorporate environmental factors such as wind direction, intensity, and seasonal variability, as well as nautical parameters including hull shape, tonnage, and propulsion systems. The resulting routes are evaluated against historical data drawn from the 11th-century Kitāb al-Masālik wa-l-Mamālik by al-Bakrī. Our findings suggest that while environmental factors significantly influenced mobility, human agency and maritime cognition played a pivotal role in determining navigational decisions. The study highlights the potential of GIS-based movement modelling to explore seascapes and cognitive maritime landscapes, contributing new insights into medieval Islamic seafaring and connectivity across the western Mediterranean.
DOI: 10.15468/dl.mc6emy
title: Occurrence Download

description: A dataset containing 2657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nerisyrenia camporum"
 ]
}

 The dataset includes 2657 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018840-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/srz9x8ym84.1
title: MovementAnalysis_ResearchData_alAndalus

description: This study presents a methodological approach for reconstructing hypothetical maritime routes in the western Mediterranean during the al-Andalus period, using Geographic Information Systems (GIS) as a central analytical tool. By combining multi-criteria spatial analysis with both Least-Cost Path (LCP) and Accumulated Cost Surface (ACS) modelling, we simulate navigation trajectories across the Alboran Sea between the Iberian Peninsula and North Africa. These simulations incorporate environmental factors such as wind direction, intensity, and seasonal variability, as well as nautical parameters including hull shape, tonnage, and propulsion systems. The resulting routes are evaluated against historical data drawn from the 11th-century Kitāb al-Masālik wa-l-Mamālik by al-Bakrī. Our findings suggest that while environmental factors significantly influenced mobility, human agency and maritime cognition played a pivotal role in determining navigational decisions. The study highlights the potential of GIS-based movement modelling to explore seascapes and cognitive maritime landscapes, contributing new insights into medieval Islamic seafaring and connectivity across the western Mediterranean.
DOI: 10.17632/47d4txp3dx
title: Paan_Pata: The Evergreen Heritage of Betel Leaf in Bangladesh Agriculture

description: The Betel Leaf Disease Dataset was systematically gathered from Khashia Punji in Sreemangal Upazila, Moulvibazar District, Bangladesh, between January 3 and January 7, 2024. Initially, we gathered the raw images and subsequently augment the entire data set for improved efficiency. This dataset consists of three distinct classes: Healthy (800), Blight (800), and Anthracnose (800), capturing various healthy and diseased conditions of betel leaves. The images were captured using a Redmi 6 smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images, taken in PNG format at a resolution of 256 × 256 pixels, were later resized to 640 × 480 pixels at 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners working on plant disease detection and classification. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology, where early diagnosis and leaf health monitoring can significantly improve crop management strategies.
DOI: 10.17632/47d4txp3dx.1
title: Paan_Pata: The Evergreen Heritage of Betel Leaf in Bangladesh Agriculture

description: The Betel Leaf Disease Dataset was systematically gathered from Khashia Punji in Sreemangal Upazila, Moulvibazar District, Bangladesh, between January 3 and January 7, 2024. Initially, we gathered the raw images and subsequently augment the entire data set for improved efficiency. This dataset consists of three distinct classes: Healthy (800), Blight (800), and Anthracnose (800), capturing various healthy and diseased conditions of betel leaves. The images were captured using a Redmi 6 smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images, taken in PNG format at a resolution of 256 × 256 pixels, were later resized to 640 × 480 pixels at 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners working on plant disease detection and classification. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology, where early diagnosis and leaf health monitoring can significantly improve crop management strategies.