cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15185109
title: Dataset for "Upholding integrity - The causes and trends of corruption risk in Europe"

description: This is a data supplement for Report D9.1 in Work Package 9 of the BRIDGEGAP project. BRIDGEGAP is funded by the European Commission’s Horizon Europe Programme for Research and Innovation, under the Grant Agreement number 101132483.
DOI: 10.5281/zenodo.15185110
title: Dataset for "Upholding integrity - The causes and trends of corruption risk in Europe"

description: This is a data supplement for Report D9.1 in Work Package 9 of the BRIDGEGAP project. BRIDGEGAP is funded by the European Commission’s Horizon Europe Programme for Research and Innovation, under the Grant Agreement number 101132483.
DOI: 10.5281/zenodo.15280600
title: TCRscape: A Single-Cell Multi-Omic TCR Profiling Toolkit

description: Single-cell multi-omics has transformed T-cell biology by enabling the simultaneous analysis of T-cell receptor (TCR) sequences, transcriptomes, and surface proteins at the resolution of individual cells. These capabilities are critical for identifying antigen-specific T-cells and accelerating the development of TCR-based immunotherapies. Here, we present TCRscape, an open-source Python 3 tool tailored for BD Rhapsody™ data, which performs high-resolution TCR clonotype discovery and quantification. TCRscape integrates full-length TCR sequence data with gene expression profiles and V(D)J gene segment usage to enable multimodal clustering of αβ and γδ T-cell populations. It outputs Seurat-compatible matrices, facilitating downstream visualization and analysis in standard single-cell analysis environments. By bridging clonotype detection with immune cell transcriptome and proteome profiling, TCRscape supports rapid identification of dominant T-cell clones and their functional phenotypes, offering a powerful resource for immune monitoring and TCR-engineered therapeutic development.
DOI: 10.5281/zenodo.15280607
title: Dataset for "Upholding integrity - The causes and trends of corruption risk in Europe"

description: This is a data supplement for Report D9.1 in Work Package 9 of the BRIDGEGAP project. BRIDGEGAP is funded by the European Commission’s Horizon Europe Programme for Research and Innovation, under the Grant Agreement number 101132483.
DOI: 10.25934/pr00011012
title: Predictors of Treatment Response to Acute and Preventive Medications in Migraine: Insights from the OVERCOME Study

description: Migraine is a common and serious condition that cause intense headaches, often accompanied by nausea, sensitivity to light and sound, and other debilitating symptoms. Migraine affect over one billion people worldwide, significantly impacting their quality of life and daily activities.

Currently, finding the right migraine treatment is often a frustrating process of trial and error. Some treatments focus on providing immediate relief during a migraine attack, while others aim to prevent future migraines. However, not all treatments work the same for everyone, leaving many patients struggling to manage their symptoms effectively.

This research aims to improve how we match migraine treatments to individual patients. By analyzing data from a large study called the Observational Survey of the Epidemiology, Treatment, and Care of Migraine (OVERCOME), we will identify factors that influence how well people respond to different treatments. These factors could include age, gender, medical history, or other personal characteristics.

Using this information, the goal is to develop tools to predict which treatments are most likely to work for each patient. These tools could help patients and doctors choose effective therapies more quickly, reducing the frustration, time, and costs associated with finding the right treatment.

To conduct this research, we will use advanced statistical methods to analyze data collected from thousands of participants in the OVERCOME study. This data includes information about patients’ symptoms, the treatments they have tried, and how effective these treatments have been. By studying patterns in this data, we hope to gain new insights into what makes certain treatments work better for some people than others.

This research is important because it has the potential to improve the lives of millions of people living with migraines. By helping patients receive effective treatments faster, we can reduce the burden of this condition and improve their overall quality of life.
DOI: 10.5281/zenodo.13935638
title: Cyber4OT: ICS network traces containing normal activity and full attack traffic

description: The Cyber4OT dataset contains prepared in the test-bed environment packet traces from normal activity of OT network, as well as, full network attack. During recorded activity, the attacker performs full network reconnaissance, later disconnects legal Modbus TCP connection and performs PLC device hijacking.

The dataset contains 96 files with more than 4,25 millions of packets.

ReadMe.txt file contains short description of each trace file content.

Detailed description of the test bed, where data was prepared, is provided in the Cyber4OT_testbed_description.pdf file.
DOI: 10.5281/zenodo.13935639
title: Cyber4OT: ICS network traces containing normal activity and full attack traffic

description: The Cyber4OT dataset contains prepared in the test-bed environment packet traces from normal activity of OT network, as well as, full network attack. During recorded activity, the attacker performs full network reconnaissance, later disconnects legal Modbus TCP connection and performs PLC device hijacking.

The dataset contains 96 files with more than 4,25 millions of packets.

ReadMe.txt file contains short desription of each trace file content.
DOI: 10.5281/zenodo.14215190
title: Cyber4OT: ICS network traces containing normal activity and full attack traffic

description: The Cyber4OT dataset contains prepared in the test-bed environment packet traces from normal activity of OT network, as well as, full network attack. During recorded activity, the attacker performs full network reconnaissance, later disconnects legal Modbus TCP connection and performs PLC device hijacking.

The dataset contains 96 files with more than 4,25 millions of packets.

ReadMe.txt file contains short desription of each trace file content.

Detailed desription of the test bed where data are prepared is provided in the Cyber4OT_testebd_description.pdf file.
DOI: 10.5281/zenodo.14217616
title: Cyber4OT: ICS network traces containing normal activity and full attack traffic

description: The Cyber4OT dataset contains prepared in the test-bed environment packet traces from normal activity of OT network, as well as, full network attack. During recorded activity, the attacker performs full network reconnaissance, later disconnects legal Modbus TCP connection and performs PLC device hijacking.

The dataset contains 96 files with more than 4,25 millions of packets.

ReadMe.txt file contains short desription of each trace file content.

Detailed desription of the test bed, where data was prepared, is provided in the Cyber4OT_testbed_description.pdf file.
DOI: 10.5281/zenodo.15005190
title: Cyber4OT: ICS network traces containing normal activity and full attack traffic

description: The Cyber4OT dataset contains prepared in the test-bed environment packet traces from normal activity of OT network, as well as, full network attack. During recorded activity, the attacker performs full network reconnaissance, later disconnects legal Modbus TCP connection and performs PLC device hijacking.

The dataset contains 96 files with more than 4,25 millions of packets.

ReadMe.txt file contains short description of each trace file content.

Detailed description of the test bed, where data was prepared, is provided in the Cyber4OT_testbed_description.pdf file.
DOI: 10.15468/dl.mn6ma6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herwigia kreffti (Nielsen & Larsen, 1970)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((54.1341 -16.2111,54.4917 -16.3924,54.8913 -16.2339,54.9312 -16.1504,54.1138 -16.1504,54.1341 -16.2111))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009797-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qyr94x
title: Occurrence Download

description: A dataset containing 877922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Depth is greater than 200m",
 "BasisOfRecord is Machine Observation",
 "HasGeospatialIssue is FALSE",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 877922 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007116-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k224z2
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024609-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ww39mw
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desmodium intortum",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024610-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgk2hk
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024611-250811113504898/datasets/export for details.
DOI: 10.15468/dl.u5f2k9
title: Occurrence Download

description: A dataset containing 113927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.7171 62.55233,-7.51889 59.41785,-5.17208 54.46871,-5.50705 47.48189,2.62378 50.06702,10.46129 51.90478,15.47335 59.40719,-5.7171 62.55233))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carcinus"
 ]
}

 The dataset includes 113927 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030381-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/kcjm2
title: Engagement and Self-Regulated Learning

description: A dataset used in a longitudinal analysis of engagement and self-regulated learning
DOI: 10.15468/dl.mrgv4s
title: Occurrence Download

description: A dataset listing the 39647 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 39647 records were derived from 893 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030388-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ee5sx
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus bohemicus",
 "Year 2023-2025"
 ]
}

 The dataset includes 93 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030405-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atk5vj
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Bahamas",
 "TaxonKey is Cynanchum"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030406-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17591095
title: kMetaShot reference RefSeq 2022/07/31
DOI: 10.5281/zenodo.17591094
title: kMetaShot reference RefSeq 2022/07/31
DOI: 10.15468/dl.drg3dq
title: Occurrence Download

description: A dataset containing 1658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((129.70598 18.11867,163.90478 54.93898,115.28767 50.29175,93.7198 20.97851,107.50132 19.34699,112.31958 20.36575,129.70598 18.11867))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ixeris japonica"
 ]
}

 The dataset includes 1658 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030407-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/063elj
title: Replication Data for: The impact of wheat sprouting on iron and zinc bioaccessibility and bioavailability to Caco-2 cells

description: While wheat is a good source of iron (Fe) and zinc (Zn), their bioaccessibility is limited due to chelation with phytic acid. Sprouting wheat at 26 °C reduced the phytate content by 25 – 40 % and increased bioaccessibility (determined with an in vitro digestion assay) 1.5 – 2.7 times (Fe) and 1.6 – 2.3 times (Zn), depending on the sprouting time (48 – 120 h). Subsequent application of in vitro digests to Caco-2 cells showed that sprouting for 120 h at 26 °C did not enhance wheat Fe bioavailability, while it increased Zn bioavailability 1.6-fold. When the in vitro digests were exposed to diffusive gradients in thin film (DGT) with Chelex resin, which binds free mineral ions, sprouting was found to have caused release of non-labile Fe complexes and some labile Zn complexes. The latter resulted in higher levels of bioavailable forms of Zn in wheat.
DOI: 10.5255/ukda-sn-7421-31
title: Vacancy Survey, 2005-2025: Secure Access
title: VS

description: &lt;p&gt;The &lt;i&gt;Vacancy Survey&lt;/i&gt; (VS) is a statutory, monthly survey of businesses in Great Britain, which asks the single question, how many job vacancies did a business have in total on a specified date for which they were actively seeking recruits from outside their organisation. Vacancy statistics provide important information about the demand for labour, and give an early indication of what is happening in the labour market. They are used for monitoring and policy-making purposes by UK government departments and Eurostat.&lt;br&gt;&lt;br&gt;Questionnaires are sent to a sample of approximately 6,000 businesses on the Inter-Departmental Business Register (IDBR) every month, approached mainly via head offices rather than by local offices. The IDBR is a live register of data on businesses collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. Businesses return their &lt;i&gt;Vacancy Survey&lt;/i&gt; data to the Office for National Statistics using key presses on a telephone rather than returning a paper questionnaire. A small number of businesses have elected to receive a paper questionnaire which is returned in the pre-paid envelope provided.&lt;br&gt;&lt;br&gt;The survey covers all sectors of the economy, with the exception of employment agencies and agriculture, forestry and fishing.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Linking to other business studies&lt;br&gt;&lt;/span&gt;These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the thirty-first edition (November 2025), six new data files covering the period January 2022 to July 2025 have been added.&lt;br&gt;&lt;/p&gt;
DOI: 10.15468/dl.knr2um
title: Occurrence Download

description: A dataset containing 539635 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is National Butterfly Recording Scheme in Finland (NAFI)"
 ]
}

 The dataset includes 539635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030400-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2syced
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paphiopedilum erythroanthum"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049250-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8h2d5
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, India, Bangladesh, Nepal, Bhutan, Pakistan, Afghanistan, Myanmar)",
 "TaxonKey is Ahlbergia"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049249-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wgfhmx37ng.1
title: Dataset for Solar-Powered Submersible Pump Systems

description: Data were collected over a year to develop AI models. The system, operating in Marsa Matrouh, Egypt, gathered two data categories: weather and inverter motor data.

Weather data includes:

UV index (W/m²)
Air temperature (°C)
Wind speed (m/s)
Wind direction (° from North)
Humidity (%)
Gust speed (m/s)
Cloud cover (%)
Solar energy generation is influenced by these factors. A higher UV index generally increases power output, though prolonged exposure degrades materials. Excessive heat reduces efficiency due to electrical resistance. Wind speed cools panels, mitigating heat-related losses, but strong gusts may stress structures. Wind direction affects cooling efficiency, humidity scatters sunlight and degrades components, and cloud cover reduces direct sunlight but may occasionally enhance scattered light collection. Optimal conditions include high UV levels, moderate temperatures, steady cooling winds, and minimal humidity or clouds. Weather data was collected daily via the Stormglass.io API at a fixed location.

Inverter motor data includes:

Frequency reference
Output frequency
Output current
DC bus voltage
Output power
Frequency fault
Heatsink temperature
PID output
PID input
The inverter motor drive manages input and output parameters for efficiency and stability. The frequency reference controls motor speed, while the PID controller adjusts performance using sensor data. Output frequency affects motor speed, and output current indicates load. The DC bus voltage stabilizes power supply, while output power reflects energy delivered. Safety features include frequency fault warnings and heatsink temperature monitoring to prevent overheating. The PID output fine-tunes motor speed and torque for optimal efficiency.

For more information about the dataset or the system please read and cite our publication:
DOI: 10.17632/wgfhmx37ng.2
title: Dataset for Solar-Powered Submersible Pump Systems

description: Data were collected over a year to develop AI models. The system, operating in Marsa Matrouh, Egypt, gathered two data categories: weather and inverter motor data.

Weather data includes:

UV index (W/m²)
Air temperature (°C)
Wind speed (m/s)
Wind direction (° from North)
Humidity (%)
Gust speed (m/s)
Cloud cover (%)
Solar energy generation is influenced by these factors. A higher UV index generally increases power output, though prolonged exposure degrades materials. Excessive heat reduces efficiency due to electrical resistance. Wind speed cools panels, mitigating heat-related losses, but strong gusts may stress structures. Wind direction affects cooling efficiency, humidity scatters sunlight and degrades components, and cloud cover reduces direct sunlight but may occasionally enhance scattered light collection. Optimal conditions include high UV levels, moderate temperatures, steady cooling winds, and minimal humidity or clouds. Weather data was collected daily via the Stormglass.io API at a fixed location.

Inverter motor data includes:

Frequency reference
Output frequency
Output current
DC bus voltage
Output power
Frequency fault
Heatsink temperature
PID output
PID input
The inverter motor drive manages input and output parameters for efficiency and stability. The frequency reference controls motor speed, while the PID controller adjusts performance using sensor data. Output frequency affects motor speed, and output current indicates load. The DC bus voltage stabilizes power supply, while output power reflects energy delivered. Safety features include frequency fault warnings and heatsink temperature monitoring to prevent overheating. The PID output fine-tunes motor speed and torque for optimal efficiency.

For more information about the dataset or the system please read and cite our publication: