cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3h835j6nz2.1
title: High-resolution multi-drought indices across Austria for the 1950 - 2023 period

description: This dataset offers a comprehensive, long-term overview of multiple drought indices for Austria, spanning from 1950 to 2023. It includes six well-established drought indices: the Reconnaissance Drought Index (RDI), the modified Reconnaissance Drought Index (RDIe), the Standardised Precipitation-Evapotranspiration Index (SPEI), the Standardised Precipitation Index (SPI), the Vapour Pressure Deficit (VPD), and the self-calibrating Palmer Drought Severity Index (scPDSI). These indices are calculated monthly using Reanalysis ERA5-Land data, which has a horizontal resolution of 0.1°. Additionally, the SPI is calculated monthly from 1950 to 2014 using the HISTALP dataset, which has a higher resolution of 5 minutes of a degree. The input parameters consist of total precipitation from both the HISTALP and ERA5-Land datasets, along with potential evapotranspiration derived from variables within the ERA5-Land data. The dataset encompasses multiscale indices that cover various timescales, ranging from 1 to 48 months. This provides a thorough perspective on hydroclimatic variability and represents different types of drought, including meteorological, agricultural, and hydrological. The data is available in several formats (.nc, .csv, and .xlsx), facilitating flexible spatial and temporal analyses.

RDI_Austria_ERA5_Land_1950_2023_0.1deg.zip: monthly RDI for scales 1 to 48 across Austria with a horizontal resolution of 0.1º for the 1950-2023 period; derived from Reanalysis ERA5-Land data
RDIe_Austria_ERA5_Land_1950_2023_0.1deg.zip: monthly RDIe for scales 1 to 48 across Austria with a horizontal resolution of 0.1º for the 1950-2023 period; derived from Reanalysis ERA5-Land data
SPEI_Austria_1950_2023_ERA5_Land_0.1deg.zip: monthly SPEI for scales 1 to 48 across Austria with a horizontal resolution of 0.1º for the 1950-2023 period; derived from Reanalysis ERA5-Land data
SPI_Austria_ERA5_Land_1950_2023_0.1deg.zip: monthly SPI for scales 1 to 48 across Austria with a horizontal resolution of 0.1º for the 1950-2023 period; derived from Reanalysis ERA5-Land data
SPI_Austria_HISTALP_1950_2014_5mindeg.zip: monthly SPI for scales 1 to 48 across Austria with a horizontal resolution of 5 minutes of degree for the 1950-2023 period; derived from the HISTALP dataset
VPD_Austria_ERA5_Land_1950_2023_0.1deg.zip: monthly VPD across Austria with a horizontal resolution of 0.1º for the 1950-2023 period; derived from Reanalysis ERA5-Land data
scPDSI_Austria_ERA5_Land_1950_2023_0.1deg.zip: monthly scPDSI across Austria with a horizontal resolution of 0.1º for the 1950-2023 period; derived from Reanalysis ERA5-Land data
DOI: 10.15468/dl.yzfewa
title: Occurrence Download

description: A dataset containing 12224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipogium aphyllum Sw.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 12224 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030285-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xp55rwshgh
title: 20250514

description: Van der Waals force and hydration repulsion
DOI: 10.17632/xp55rwshgh.1
title: 20250514

description: Van der Waals force and hydration repulsion
DOI: 10.15468/dl.qtxeyr
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platanthera minutiflora Schltr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 61 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030286-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d5nn9fskkj.1
title: Evaluating sawdust as a bulking agent to enhance Black Soldier Fly Larvae (Hermetia illucens) performance and survival in potato peels

description: Title of Dataset:
Evaluating sawdust as a bulking agent to enhance Black Soldier Fly Larvae (Hermetia illucens) performance and survival in potato peels

Research Hypothesis:
We hypothesised that incorporating sawdust as a non-nutritive bulking agent into high-moisture potato peel substrates enhances the growth, yield, and survival of Hermetia illucens larvae by improving substrate aeration and moisture balance.

Data Description and Methods:
This dataset contains experimental data from a laboratory study conducted at the University of Venda. The aim was to evaluate the effect of varying sawdust inclusion levels (0%, 5%, 10%, and 15%) on the performance of BSFL reared on a standardised substrate of pulverised potato peels (40 kg) and spent grain (10 kg), with moisture content adjusted to 82% across treatments.

Key data collected includes:

Individual larval weight over time (sampled every two days)

Growth rate (g/day)

Final larval yield per tray (g dry weight)

Larval survival (%)

Treatment-level data including sawdust and water amounts, substrate composition, and moisture balance calculations

Each treatment was replicated eight times. The rearing took place in a controlled environment using a staggered tray system to regulate temperature and humidity via infrared heating and ventilation. Larvae were sampled repeatedly for growth tracking, and harvest metrics were collected at the prepupal stage.

Notable Findings:

Sawdust inclusion at 10–15% significantly improved larval growth rate and yield compared to the Control and 5% sawdust treatments.

No significant differences in larval survival were found across treatments (all above 65%), but 5% inclusion showed the highest survival rate.

Peak larval weight was reached around day 10 post-inoculation, followed by weight reduction indicating the onset of metamorphosis.

Sawdust likely improved substrate porosity and moisture regulation, facilitating enhanced larval movement and feeding efficiency.

How the Data Can Be Interpreted and Used:
This dataset provides insight into how physical modifications of substrate using bulking agents can influence BSFL rearing outcomes. The data can be used to:

Model BSFL growth trajectories under different substrate structures

Optimise bulking agent inclusion levels for industrial-scale BSFL farming

Design substrate preparation protocols for high-moisture organic waste streams

Explore moisture management strategies in insect-based bioconversion systems

Format: Excel Workbook (.xlsx)
DOI: 10.17632/3hmc2x46t7.1
title: The alkylation of AIM2 by itaconate mediates macrophage PANoptosis during sepsis

description: This dataset contains all the original protein immunoblot images from my paper. The labels on the images correspond to the data in the paper, with red boxes indicating target bands and black text denoting the antibodies used.
DOI: 10.17632/5r3vxrhtb9.1
title: Spatial Analysis of Bicycle Safety in urban transport using GIS: A Case Study of Wrocław

description: The raw data used to prepare a research paper. 
Data description:
- 2024_detail_incidents - data on traffic incidents in 2024 in Wroclaw, shp format
- cycling density, format Excel
- traffic density on roads, format Excel
- załącznik 4.1 formularz pomiaru ruchu drogowego, Appendix 4.1 traffic measurement form, format Excel
- załącznik 5.1 formularz pomiaru ruchu drogowego, Appendix 5.1 traffic measurement form, format Excel
Data source: https://bip.um.wroc.pl/artykul/565/70659/kompleksowe-badania-ruchu-we-wroclawiu-i-otoczeniu-kbr-2024
https://geoportal.wroclaw.pl/en/resources/?zasob=trasy_rowerowe
DOI: 10.15468/dl.dkdtww
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ethiopia, Kenya)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tecoma stans (L.) Juss. ex Kunth"
 ]
}

 The dataset includes 236 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030287-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b3jms757m9.1
title: Rugged, low-cost, and lightweight rosette water sampler for ocean profiling and mooring deployment

description: Oceanographers studying climate change, marine ecosystems, and water mass distribution rely heavily on seawater measurements from various depths and locations. A critical tool for obtaining these measurements is the rosette water sampler, which collects and isolates seawater at multiple specified depths for later analysis. However, most commercially available samplers are designed for large sample volumes (&gt;500 mL), requiring heavy-duty lifting equipment typically found only on larger research vessels.
This creates unnecessary costs and operational challenges, especially in coastal areas, when large sample volumes are not needed.
In response, we present a small, lightweight, and rugged rosette water sampler specifically developed for smaller sample volumes and efficient deployment from small boats without the need for lifting equipment. Weighing 16 kg, the sampler can collect 13 samples of 20 mL each in a single profiling cast, with a maximum depth of 250 m.
The instrument has been successfully tested in Northeast Greenland and along the East Greenland coast during three field campaigns between 2021 and 2023. Further development could lead to additional weight reductions and improved ease of use, enhancing its practicality for broader applications.
DOI: 10.17632/b3jms757m9.2
title: Rugged, low-cost, and lightweight rosette water sampler for ocean profiling and mooring deployment

description: Oceanographers studying climate change, marine ecosystems, and water mass distribution rely heavily on seawater measurements from various depths and locations. A critical tool for obtaining these measurements is the rosette water sampler, which collects and isolates seawater at multiple specified depths for later analysis. However, most commercially available samplers are designed for large sample volumes (&gt;500 mL), requiring heavy-duty lifting equipment typically found only on larger research vessels.
This creates unnecessary costs and operational challenges, especially in coastal areas, when large sample volumes are not needed.
In response, we present a small, lightweight, and rugged rosette water sampler specifically developed for smaller sample volumes and efficient deployment from small boats without the need for lifting equipment. Weighing 16 kg, the sampler can collect 13 samples of 20 mL each in a single profiling cast, with a maximum depth of 250 m.
The instrument has been successfully tested in Northeast Greenland and along the East Greenland coast during three field campaigns between 2021 and 2023. Further development could lead to additional weight reductions and improved ease of use, enhancing its practicality for broader applications.
DOI: 10.17632/w3df8dhfwb.1
title: Effect of corticosterone on the gene expression in the context of global hippocampal transcription.

description: The composition of genomic mediators of glucocorticoid actions in brain remains elusive because of low statistical power of experiments and associated very low consistency of transcriptomic data. The problem is further exaggerated by underrepresentation of chronic experiments and interpretation of differentially expressed genes without understanding their contribution to the total transcriptomic activity. To fill existing gaps in knowledge we have performed a large transcriptomic experiment (48 mice in total), testing effects of prolonged treatment with corticosterone (5, 14 and 28 days) on hippocampal transcriptome (RNA sequencing). The experiment showed that prolonged treatment with the corticosterone induced a set of transcriptomic effects that were replicable across treatment durations including genes relevant for human PTSD (Opalin, Pllp, Ttyh2, Lpar1) and prolonged stress in animals (Cnp, Fam163a, Fcrls, Tmem125). Some of affected genes are specific for oligodendrocytes, neurons, astrocytes, immune cells, vascular system and brain ventricles, indicating that glucocorticoids may affect all components of the central nervous system. The data also showed that the largest changes in expression of corticosterone-responsive genes are restricted to genes that have a relatively low expression level and small contribution to the overall pool of mRNAs in the hippocampus. As a result, even a large change in the number of affected genes leads to a small change in the number of newly synthesized mRNA copies. This means, in turn, that the transcriptomic changes induced by corticosterone are low-cost effects for the brain.
DOI: 10.17632/w3df8dhfwb.2
title: Data for: Effect of corticosterone on the gene expression in the context of global hippocampal transcription.

description: The composition of genomic mediators of glucocorticoid actions in brain remains elusive because of low statistical power of experiments and associated very low consistency of transcriptomic data. The problem is further exaggerated by underrepresentation of chronic experiments and interpretation of differentially expressed genes without understanding their contribution to the total transcriptomic activity. To fill existing gaps in knowledge we have performed a large transcriptomic experiment (48 mice in total), testing effects of prolonged treatment with corticosterone (5, 14 and 28 days) on hippocampal transcriptome (RNA sequencing). The experiment showed that prolonged treatment with the corticosterone induced a set of transcriptomic effects that were replicable across treatment durations including genes relevant for human PTSD (Opalin, Pllp, Ttyh2, Lpar1) and prolonged stress in animals (Cnp, Fam163a, Fcrls, Tmem125). Some of affected genes are specific for oligodendrocytes, neurons, astrocytes, immune cells, vascular system and brain ventricles, indicating that glucocorticoids may affect all components of the central nervous system. The data also showed that the largest changes in expression of corticosterone-responsive genes are restricted to genes that have a relatively low expression level and small contribution to the overall pool of mRNAs in the hippocampus. As a result, even a large change in the number of affected genes leads to a small change in the number of newly synthesized mRNA copies. This means, in turn, that the transcriptomic changes induced by corticosterone are low-cost effects for the brain.
DOI: 10.17632/w3df8dhfwb.3
title: Data for: Effect of corticosterone on the gene expression in the context of global hippocampal transcription.

description: The composition of genomic mediators of glucocorticoid actions in brain remains elusive because of low statistical power of experiments and associated very low consistency of transcriptomic data. The problem is further exaggerated by underrepresentation of chronic experiments and interpretation of differentially expressed genes without understanding their contribution to the total transcriptomic activity. To fill existing gaps in knowledge we have performed a large transcriptomic experiment (48 mice in total), testing effects of prolonged treatment with corticosterone (5, 14 and 28 days) on hippocampal transcriptome (RNA sequencing). The experiment showed that prolonged treatment with the corticosterone induced a set of transcriptomic effects that were replicable across treatment durations including genes relevant for human PTSD (Opalin, Pllp, Ttyh2, Lpar1) and prolonged stress in animals (Cnp, Fam163a, Fcrls, Tmem125). Some of affected genes are specific for oligodendrocytes, neurons, astrocytes, immune cells, vascular system and brain ventricles, indicating that glucocorticoids may affect all components of the central nervous system. The data also showed that the largest changes in expression of corticosterone-responsive genes are restricted to genes that have a relatively low expression level and small contribution to the overall pool of mRNAs in the hippocampus. As a result, even a large change in the number of affected genes leads to a small change in the number of newly synthesized mRNA copies. This means, in turn, that the transcriptomic changes induced by corticosterone are low-cost effects for the brain.
DOI: 10.17632/dzfwms8s3m.1
title: Multinational Enterprises (MNEs), Crisis, Workers, Principled Presence

description: The ongoing crisis in Myanmar, intensified by military rule since 2021, has triggered widespread economic collapse and social instability. Amid growing humanitarian needs, formal employment opportunities have declined sharply, increasing the risk of exploitation through illegal migration and human trafficking. This paper examines the role of multinational enterprises (MNEs) in Myanmar’s cut, make, and pack (CMP) garment, with a focus on the socio-economic and ethical implications of their presence or potential exit. Drawing on secondary data and primary survey responses from garment sector workers, the study highlights the crucial role MNEs play in sustaining livelihoods, especially for women and marginalized populations. While some advocacy groups call for divestment to avoid complicity with the military regime, the findings suggest that MNEs act as economic stabilizers and protective agents in a fragile context. The paper argues for a "principled presence" approach, wherein MNEs remain engaged while strengthening labour protections and upholding human rights standards. It also cautions that a "responsible exit" could have unintended consequences, such as mass unemployment and heightened vulnerability to trafficking.
DOI: 10.17632/dzfwms8s3m.2
title: Worker Perceptions on the (Potential) Exit of Foreign MNEs in the Garment Sector

description: The ongoing crisis in Myanmar, intensified by military rule since 2021, has triggered widespread economic collapse and social instability. Amid growing humanitarian needs, formal employment opportunities have declined sharply, increasing the risk of exploitation through illegal migration and human trafficking. This paper examines the role of multinational enterprises (MNEs) in Myanmar’s cut, make, and pack (CMP) garment, with a focus on the socio-economic and ethical implications of their presence or potential exit. Drawing on secondary data and primary survey responses from garment sector workers, the study highlights the crucial role MNEs play in sustaining livelihoods, especially for women and marginalized populations. While some advocacy groups call for divestment to avoid complicity with the military regime, the findings suggest that MNEs act as economic stabilizers and protective agents in a fragile context. The paper argues for a "principled presence" approach, wherein MNEs remain engaged while strengthening labour protections and upholding human rights standards. It also cautions that a "responsible exit" could have unintended consequences, such as mass unemployment and heightened vulnerability to trafficking.
DOI: 10.17632/kt64b2kh89.1
title: Tomato Leaf Image Dataset (TLID/PTLID)

description: Tomato Cultivation in Greenhouses - This is a new dataset with images of tomato leaves grown in greenhouses containing healthy and diseased leaves images. The dataset is divided into two parts. The first one is called Tomato Leaf Image Dataset (TLID), and it has 15,260 images of size of 256×256 pixels. The dataset includes seven classes of images: Healthy, Leaf Miner, Powdery Mildew, Bacterial Spot, Whitefly, Powdery Mildew and Leaf Miner, and Bacterial Spot and Leaf Miner. The second part, the Patch-based Tomato Leaf Image Dataset (PTLID), has the patch images of the TLID. For this, we subdivided each image leaf of the TLID dataset into 64 patch images with a size of 32×32 pixels.
DOI: 10.17632/kt64b2kh89.2
title: Tomato Leaf Image Dataset (TLID/PTLID)

description: Tomato Cultivation in Greenhouses - This is a new dataset with images of tomato leaves grown in greenhouses, containing healthy and diseased leaves images. The dataset is divided into two parts. The first one is called Tomato Leaf Image Dataset (TLID), and it has 15,260 images of size 256×256 pixels. The dataset includes seven classes of images: Healthy, Leaf Miner, Powdery Mildew, Bacterial Spot, Whitefly, Powdery Mildew and Leaf Miner, and Bacterial Spot and Leaf Miner. The second part, the Patch-based Tomato Leaf Image Dataset (PTLID), has the patch images of the TLID. For this, we subdivided each image leaf of the TLID dataset into 64 patch images with a size of 32×32 pixels.

Cite this published paper: https://doi.org/10.5753/jbcs.2025.4581
DOI: 10.17632/jk7tx33pd2.1
title: Datasets of disaster response systems in an extreme precipitation event

description: The datasets are derived from a detailed case study of the emergency response to the severe rainstorm and geological disaster in Longchuan County, China, in 2019. The whole event is extensively documented in the published monograph, ''Comprehensive Response to Emergencies: Lessons from the 2019 Severe Rainstorm and Geological Disaster in Longchuan County''. The datasets include a comprehensive record of emergency management activities. They are divided into four stages: Monitoring and Early Warning, Prevention and Emergency Preparedness, Emergency Response and Rescue Activities and Recovery and Reconstruction. The data details the collaborative interactions among various human and non-human agents within the disaster response systems at each stage. We provide codes to construct the hypergraph representation of the disaster response system in each stage. The codes include hypergraph clustering and dismantling, which can be used to analyze the robustness of inter-community structure and system reliability. The code used for generating graphics can also be found. The detailed descriptions and step-by-step guidelines can be found in READ_ME.md.
DOI: 10.17632/jk7tx33pd2.2
title: Datasets of disaster response systems in an extreme precipitation event

description: The datasets are derived from a detailed case study of the emergency response to the severe rainstorm and geological disaster in Longchuan County, China, in 2019. The whole event is extensively documented in the published monograph, ''Comprehensive Response to Emergencies: Lessons from the 2019 Severe Rainstorm and Geological Disaster in Longchuan County''. The datasets include a comprehensive record of emergency management activities. They are divided into four stages: Monitoring and Early Warning, Prevention and Emergency Preparedness, Emergency Response and Rescue Activities and Recovery and Reconstruction. The data details the collaborative interactions among various human and non-human agents within the disaster response systems at each stage. We provide codes to construct the hypergraph representation of the disaster response system in each stage. The codes include hypergraph clustering and dismantling, which can be used to analyze the robustness of inter-community structure and system reliability. The code used for generating graphics can also be found. The detailed descriptions and step-by-step guidelines can be found in READ_ME.md. About the updates of Version 2: we developed new codes to address the robustness of the disaster response system at a macroscopic scale. These analysis codes are included in the updates. Detailed descriptions can be found in READ_ME_About_Updates.md.
DOI: 10.48597/hzsc-ejcd
title: Measurement of Inorganics in air and particle phase at Råö

description: Measurement of Inorganics in air and particle phase at Råö