cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zpdg7h
title: Occurrence Download

description: A dataset containing 1352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia leucotricha"
 ]
}

 The dataset includes 1352 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005701-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sxx2tgrmw2
title: Replication Data for: Causal Evidence on the U.S. Inflation Reduction Act's Effect on Carbon Capture and Storage Deployment

description: This dataset contains country-year panel data used to estimate the causal effect of the U.S. Inflation Reduction Act (IRA) on carbon capture and storage (CCS) deployment using the synthetic control method. For detailed information on data construction, imputation procedures, variable selection rationale, and robustness tests, please refer to the main paper and its appendices: Bogomazov, P., & Eom, J. (2025). Transforming the Pace of Decarbonization: Evidence from U.S. Carbon Capture and Storage under the IRA. [to be assigned].
DOI: 10.17632/sxx2tgrmw2.2
title: Replication Data for: Causal Evidence on the U.S. Inflation Reduction Act's Effect on Carbon Capture and Storage Deployment

description: This dataset contains country-year panel data used to estimate the causal effect of the U.S. Inflation Reduction Act (IRA) on carbon capture and storage (CCS) deployment using the synthetic control method. For detailed information on data construction, imputation procedures, variable selection rationale, and robustness tests, please refer to the main paper and its appendices: Bogomazov, P., & Eom, J. (2025). Transforming the Pace of Decarbonization: Evidence from U.S. Carbon Capture and Storage under the IRA. [to be assigned].
DOI: 10.17632/6bvtb8dgx7
title: Local University Expansion and Firm Innovation: Evidence from Skilled Labor Supply Shocks and Innovation Efficiency

description: Main_Data.dta: This file contains the Stata-format data used in the main analysis. The primary data on firm innovation and financial performance is sourced from the WIND database, while the corporate governance and risk-taking data are drawn from the CSMAR database. The city-level data, including demographic and economic variables, is obtained from the China City Statistical Yearbook. Some of the data processing and analysis were also conducted using Python.
DOI: 10.17632/6bvtb8dgx7.2
title: Local University Expansion and Firm Innovation: Evidence from Skilled Labor Supply Shocks and Innovation Efficiency

description: Main_Data.dta: This file contains the Stata-format data used in the main analysis. The primary data on firm innovation and financial performance is sourced from the WIND database, while the corporate governance and risk-taking data are drawn from the CSMAR database. The city-level data, including demographic and economic variables, is obtained from the China City Statistical Yearbook. Some of the data processing and analysis were also conducted using Python.
DOI: 10.17632/75vp46byw5
title: Seaweeds_Caco-2_data

description: Data and code accompanying the manuscript titled "Protective effects of Alaria esculenta and Palmaria palmata extracts on intestinal epithelial cells: insights from cell-based assays and transcriptomics" to be submitted to Food Bioscience.
DOI: 10.17632/75vp46byw5.3
title: Seaweeds_Caco-2_data

description: Data and code accompanying the manuscript titled "Protective effects of Alaria esculenta and Palmaria palmata extracts on intestinal epithelial cells: insights from cell-based assays and transcriptomics" to be submitted to Food Bioscience.
DOI: 10.25403/upresearchdata.30656837
title: The consequences of mechanised harvesting on commercial forest soils

description: <br>This dataset comprises the selected physical properties of soil data used to reach conclusions. This includes Pre- and Post-Harvest Soil Physical Properties: bulk density and porosity values, penetration resistance: In-situ measurements at 5 cm and 10 cm depths, site characteristics: Associated data on soil type (Hydromorphic vs. Red and Yellow Apedal) and slope gradient for each sample point.This study employed an experimental design to assess the impact of fully mechanised harvesting on the physical properties of two distinct forest soil types: well-drained Red and Yellow Apedal soils and saturated Hydromorphic soils. The study was conducted within two adjacent 15-year-old <i>Pinus elliottii</i> plantations established on these respective soil types.A probability-based sampling procedure, combining systematic and random techniques, was implemented to lay out the experiment. A network of 12 transects (extraction routes) was established systematically every 24 meters across the slope. Along these transects, sampling points were positioned at 24-meter intervals to capture data from machine trails. This design was consistently applied to both soil compartments to minimize the influence of natural variation.Soil data was collected in two phases:Pre-harvesting: Baseline measurements were taken in autumn.Post-harvesting: Measurements were repeated in winter on the machine trails within the same compartments.At each sampling point, both in situ and laboratory measurements were taken at depths of 5 cm and 10 cm:1. Penetration Resistance: Measured directly in the field using a handheld penetrometer (Agratrtronix soil compaction tester model that determines the extent of subsurface soil compaction). The profile values were utilised as: 150 kPa (soft tilled layer), 200 kPa (softer soil below the hardpan), and 390 kPa (a sharp increase indicating a compacted later)2. Bulk Density & Porosity: Undisturbed soil cores were collected using a cone sampler, transported to the laboratory, and analysed via the standard oven-drying method. Particle density was assumed at 2.65 g/cm³ for porosity calculations.The collected data was analysed using a Repeated Measures ANOVA (RMANOVA). The experimental design was a factorial model, treating soil type, depth, and slope as independent factors, and the soil physical properties as dependent variables. This approach allowed for a robust statistical examination of the significant effects of mechanized harvesting, both within and between the different soil subjects, and their interactions. Data normality was confirmed via QQ plots and histograms prior to analysis.
DOI: 10.25403/upresearchdata.30656837.v1
title: The consequences of mechanised harvesting on commercial forest soils

description: <br>This dataset comprises the selected physical properties of soil data used to reach conclusions. This includes Pre- and Post-Harvest Soil Physical Properties: bulk density and porosity values, penetration resistance: In-situ measurements at 5 cm and 10 cm depths, site characteristics: Associated data on soil type (Hydromorphic vs. Red and Yellow Apedal) and slope gradient for each sample point.This study employed an experimental design to assess the impact of fully mechanised harvesting on the physical properties of two distinct forest soil types: well-drained Red and Yellow Apedal soils and saturated Hydromorphic soils. The study was conducted within two adjacent 15-year-old <i>Pinus elliottii</i> plantations established on these respective soil types.A probability-based sampling procedure, combining systematic and random techniques, was implemented to lay out the experiment. A network of 12 transects (extraction routes) was established systematically every 24 meters across the slope. Along these transects, sampling points were positioned at 24-meter intervals to capture data from machine trails. This design was consistently applied to both soil compartments to minimize the influence of natural variation.Soil data was collected in two phases:Pre-harvesting: Baseline measurements were taken in autumn.Post-harvesting: Measurements were repeated in winter on the machine trails within the same compartments.At each sampling point, both in situ and laboratory measurements were taken at depths of 5 cm and 10 cm:1. Penetration Resistance: Measured directly in the field using a handheld penetrometer (Agratrtronix soil compaction tester model that determines the extent of subsurface soil compaction). The profile values were utilised as: 150 kPa (soft tilled layer), 200 kPa (softer soil below the hardpan), and 390 kPa (a sharp increase indicating a compacted later)2. Bulk Density & Porosity: Undisturbed soil cores were collected using a cone sampler, transported to the laboratory, and analysed via the standard oven-drying method. Particle density was assumed at 2.65 g/cm³ for porosity calculations.The collected data was analysed using a Repeated Measures ANOVA (RMANOVA). The experimental design was a factorial model, treating soil type, depth, and slope as independent factors, and the soil physical properties as dependent variables. This approach allowed for a robust statistical examination of the significant effects of mechanized harvesting, both within and between the different soil subjects, and their interactions. Data normality was confirmed via QQ plots and histograms prior to analysis.
DOI: 10.17632/ckbnb4vmv9
title: Photovoltaic Knowledge-Informed Neural Network (PKINN)

description: This dataset contains synchronized photovoltaic (PV) power measurements and environmental variables collected from multiple silicon-based PV modules under real outdoor operating conditions. The data include irradiance, temperature, electrical characteristics, and module-level power outputs recorded at a 5-minute resolution. These measurements capture a wide range of natural fluctuation behaviors, including both gradual variations and abrupt power ramps caused by dynamic weather changes.

The dataset is intended to support research on PV power forecasting, data-driven modeling, Ensemble methods, and fluctuation analysis under realistic environmental variability. It enables benchmarking of forecasting models, evaluation of robustness under fluctuating conditions, and development of interpretable prediction frameworks for PV systems.
DOI: 10.17632/ckbnb4vmv9.1
title: Photovoltaic Knowledge-Informed Neural Network (PKINN)

description: This dataset contains synchronized photovoltaic (PV) power measurements and environmental variables collected from multiple silicon-based PV modules under real outdoor operating conditions. The data include irradiance, temperature, electrical characteristics, and module-level power outputs recorded at a 5-minute resolution. These measurements capture a wide range of natural fluctuation behaviors, including both gradual variations and abrupt power ramps caused by dynamic weather changes.

The dataset is intended to support research on PV power forecasting, data-driven modeling, Ensemble methods, and fluctuation analysis under realistic environmental variability. It enables benchmarking of forecasting models, evaluation of robustness under fluctuating conditions, and development of interpretable prediction frameworks for PV systems.
DOI: 10.60859/kp1c-rg36
title: NG00178
DOI: 10.60859/yhmv-qj42
title: NG00171
DOI: 10.15468/dl.ha335j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Neofelis nebulosa (Griffith, 1821))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016078-250525065834625/datasets/export for details.
DOI: 10.15468/dl.frfh2d
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sceloporus asper Boulenger, 1897"
 ]
}

 The dataset includes 98 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016080-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t36egy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Neofelis nebulosa (Griffith, 1821))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016081-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.17567773
title: MicroRNA expression profile of the kidney under tubulointerstitial fibrosis

description: In the context of renal tubulointerstitial fibrosis (TIF), aberrant changes in renal drug transporters can severely disrupt systemic drug disposition, leading to reduced therapeutic efficacy or increased toxicity. While we have previously documented alterations in drug transporters in TIF, the underlying epigenetic mechanisms remain unclear. This study aims to characterize the miRNA expression profile in TIF, elucidate the epigenetic network governing transporter dysregulation, and provide mechanistic insights to support safer drug use in CKD.
DOI: 10.5281/zenodo.17567772
title: MicroRNA expression profile of the kidney under tubulointerstitial fibrosis

description: In the context of renal tubulointerstitial fibrosis (TIF), aberrant changes in renal drug transporters can severely disrupt systemic drug disposition, leading to reduced therapeutic efficacy or increased toxicity. While we have previously documented alterations in drug transporters in TIF, the underlying epigenetic mechanisms remain unclear. This study aims to characterize the miRNA expression profile in TIF, elucidate the epigenetic network governing transporter dysregulation, and provide mechanistic insights to support safer drug use in CKD.
DOI: 10.15468/dl.hvt9bn
title: Occurrence Download

description: A dataset listing the 53 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "DatasetKey is one of (VectorNet data Luxembourg 2023-2024, Tick collection_OH ALLIES project_Ireland, OH_SURVector_Hungary_Mosquitoes, VectorNet observations, Investigating the Role of Stable Flies (Stomoxys calcitrans) and Biting Midges (Culicoides spp.) of the genus Culicoides as Potential Mechanical Vectors of African Swine Fever Virus in Lithuania, Poland and Romania, Vector collection_OH surveillance project_Sweden, Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos), OH4Surveillance vector collection in Latvia, OH4Surveillance vector collection in Latvia, One Health Surveillance (OH4S) Vector Collection in Poland - ticks collection, One Health Surveillance (OH4S) Vector Collection in Poland - mosquitoes collection, Mosquito data OH4surveillance Denmark 2024, Tick and moquito collection_OH SURVECTOR project_Slovakia, Vector collection_OH surveillance project Estonia, VectorCollection_SIVIZ_project_Portugal, National tick surveillance in Austria for the detection of tick-borne pathogens 2024 - Project OH SURVector)"
 ]
 },
 "DatasetKey is one of (OH_SURVector_Hungary_Mosquitoes, Vector collection_OH surveillance project_Sweden, VectorNet data Luxembourg 2023-2024, National tick surveillance in Austria for the detection of tick-borne pathogens 2024 - Project OH SURVector, Tick and moquito collection_OH SURVECTOR project_Slovakia, VectorCollection_SIVIZ_project_Portugal, Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos), Vector collection_OH surveillance project Estonia)"
 ]
}

 The dataset's 53 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032759-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt2t5u
title: Occurrence Download

description: A dataset containing 6030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea nouchali"
 ]
}

 The dataset includes 6030 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032765-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5282/ubm/data.713
title: Source data: Ablation of prostaglandin E2-signaling through dual receptor knock-out in CAR T cells enhances therapeutic efficacy in solid tumors

description: This entry contains the datasets associated with the publication "Ablation of prostaglandin E2-signaling through dual receptor knock-out in CAR T cells enhances therapeutic efficacy in solid tumors". 

Abstract:
The efficacy of chimeric antigen receptor (CAR) T cell therapy in solid cancers is limited by immunosuppression in the tumor microenvironment (TME). Prostaglandin E2 (PGE2) is a key factor locally inhibiting T cell function. We hypothesized that targeted ablation of PGE2 signaling in CAR T cells may enhance their activity in PGE2-rich solid tumors. 
Here, we generated knockout CAR T cells double deficient for the PGE2-receptors EP2 and EP4 (EP2-/-EP4-/-) by CRISPR-Cas9 engineering. EP2-/-EP4-/- CAR T cells expanded unabatedly in the presence of PGE2. Further, they effectively controlled syngeneic and human xenograft tumor models in vivo, which was accompanied by intratumoral accumulation and persistence of modified T cells. Improved anti-tumor activity was also observed against patient-derived tumor samples from pancreatic ductal adenocarcinoma (PDAC), colorectal (CRC) and neuroendocrine (NET) cancer patients. Our data uncovers the detrimental impact of PGE2-mediated suppression on CAR T cell efficacy and highlights EP2 and EP4 targeting as potential strategy.
DOI: 10.5281/zenodo.17158311
title: Datasets and Visualisation Code for "Tracking Decarbonization of Multilateral Development Banks' Electricity Generation Investments"
DOI: 10.5281/zenodo.17158310
title: Datasets and Visualisation Code for "Tracking Decarbonization of Multilateral Development Banks' Electricity Generation Investments"
DOI: 10.15468/dl.zkqaee
title: Occurrence Download

description: A dataset containing 9828037 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9828037 records from 538 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032763-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17606812
title: What Do Adolescents Think About an App Designed to Reduce Cognitive Risk Factors for Eating Disorders? A Mixed Methods Study Dataset

description: This dataset contains quantitative and qualitative data from a convergent mixed-methods study evaluating the usability and acceptability of GGED-AD, a mobile app aimed at reducing cognitive risk factors for eating disorders in adolescents. The sample includes 42 adolescents, who completed standardized usability and acceptability measures as well as open-ended questions about their experience with the app.
DOI: 10.5281/zenodo.17606813
title: What Do Adolescents Think About an App Designed to Reduce Cognitive Risk Factors for Eating Disorders? A Mixed Methods Study Dataset

description: This dataset contains quantitative and qualitative data from a convergent mixed-methods study evaluating the usability and acceptability of GGED-AD, a mobile app aimed at reducing cognitive risk factors for eating disorders in adolescents. The sample includes 42 adolescents, who completed standardized usability and acceptability measures as well as open-ended questions about their experience with the app.
DOI: 10.5281/zenodo.17607351
title: Boshlang'ich sinf o'qituvchilarining  kasbiy mahoratini shakllantirish omillari

description: Ushbu maqolada boshlang‘ich sinf o‘qituvchilarining kasbiy mahoratini shakllantirishga ta’sir etuvchi omillar har tomonlama tahlil qilingan. Xususan, pedagogik bilim, amaliy tajriba, zamonaviy ta’lim texnologiyalaridan samarali foydalanish ko‘nikmalari, texnologik savodxonlik, ijodkorlik, kommunikativ madaniyat hamda shaxsiy fazilatlarning bu jarayondagi o‘rni chuqur o‘rganilgan. Tadqiqot nazariy va empirik usullar uyg‘unligida olib borilib, o‘qituvchining kasbiy kompetentligini rivojlantirishga xizmat qiluvchi metodik yondashuvlar asoslab berilgan. Maqolada olingan asosiy natijalar tahliliy muhokama, ilmiy dalillar va xulosalar orqali yoritilgan bo‘lib, ular boshlang‘ich ta’lim tizimida pedagog kadrlar tayyorlash jarayonini takomillashtirishga yo‘naltirilgan.
DOI: 10.5281/zenodo.17607352
title: Boshlang'ich sinf o'qituvchilarining  kasbiy mahoratini shakllantirish omillari

description: Ushbu maqolada boshlang‘ich sinf o‘qituvchilarining kasbiy mahoratini shakllantirishga ta’sir etuvchi omillar har tomonlama tahlil qilingan. Xususan, pedagogik bilim, amaliy tajriba, zamonaviy ta’lim texnologiyalaridan samarali foydalanish ko‘nikmalari, texnologik savodxonlik, ijodkorlik, kommunikativ madaniyat hamda shaxsiy fazilatlarning bu jarayondagi o‘rni chuqur o‘rganilgan. Tadqiqot nazariy va empirik usullar uyg‘unligida olib borilib, o‘qituvchining kasbiy kompetentligini rivojlantirishga xizmat qiluvchi metodik yondashuvlar asoslab berilgan. Maqolada olingan asosiy natijalar tahliliy muhokama, ilmiy dalillar va xulosalar orqali yoritilgan bo‘lib, ular boshlang‘ich ta’lim tizimida pedagog kadrlar tayyorlash jarayonini takomillashtirishga yo‘naltirilgan.