cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mkswhw4mt9
title: Revisiting pollination modes reveals long-overlooked roles of self- and abiotic pollination in global angiosperm success

description: The compressed file Pollination_Biogeography.zip contains the specified directories and relevant files detailed below:

1. WWF_ecoregions 
Biogeographic regionalization of the Earth's terrestrial biodiversity by the World Wildlife Fund (WWF) (Olson et al., 2001). The terrestrial landscape is divided into fourteen distinct biomes, further subdivided into 827 ecoregions.

2. Future_climate
Climate estimates for 2081-2100 from the UKESM1-0-LL model with a 30 arc-seconds resolution under four Shared Socio-economic Pathway (SSP) scenarios: SSP126, SSP245, SSP370, and SSP585.

3. Code 
The code used in this study.

4. detailed_species_in_each_ecoregion.txt
A list of studied species in each ecoregion.
DOI: 10.17632/mkswhw4mt9.5
title: Revisiting pollination modes reveals long-overlooked roles of self- and abiotic pollination in global angiosperm success

description: The compressed file Pollination_Biogeography.zip contains the specified directories and relevant files detailed below:

1. WWF_ecoregions 
Biogeographic regionalization of the Earth's terrestrial biodiversity by the World Wildlife Fund (WWF) (Olson et al., 2001). The terrestrial landscape is divided into fourteen distinct biomes, further subdivided into 827 ecoregions.

2. Future_climate
Climate estimates for 2081-2100 from the UKESM1-0-LL model with a 30 arc-seconds resolution under four Shared Socio-economic Pathway (SSP) scenarios: SSP126, SSP245, SSP370, and SSP585.

3. Code 
The code used in this study.

4. detailed_species_in_each_ecoregion.txt
A list of studied species in each ecoregion.
DOI: 10.17632/7gybvssrpf
title: Dataset and Code for “A Domain-Informed Automated Machine Learning Framework for Dielectric Ceramic Design: Application to the BaTiO₃–Bi(Mg₁/₂Ti₁/₂)O₃ System”

description: This dataset contains the raw data, feature descriptors, and Python source codes used in the study “A Domain-Informed Automated Machine Learning Framework for Dielectric Ceramic Design: Application to the BaTiO₃–Bi(Mg₁/₂Ti₁/₂)O₃ System”.
It includes the curated dielectric property dataset (313 entries), feature-selection scripts, Auto-Sklearn/Auto-Keras model configurations, and the uncertainty quantification module for predicting dielectric constants and X9R compliance.
The dataset supports reproducibility and reuse for research on automated machine learning, uncertainty quantification, and dielectric ceramic materials design.
DOI: 10.17632/7gybvssrpf.1
title: Dataset and Code for “A Domain-Informed Automated Machine Learning Framework for Dielectric Ceramic Design: Application to the BaTiO₃–Bi(Mg₁/₂Ti₁/₂)O₃ System”

description: This dataset contains the raw data, feature descriptors, and Python source codes used in the study “A Domain-Informed Automated Machine Learning Framework for Dielectric Ceramic Design: Application to the BaTiO₃–Bi(Mg₁/₂Ti₁/₂)O₃ System”.
It includes the curated dielectric property dataset (313 entries), feature-selection scripts, Auto-Sklearn/Auto-Keras model configurations, and the uncertainty quantification module for predicting dielectric constants and X9R compliance.
The dataset supports reproducibility and reuse for research on automated machine learning, uncertainty quantification, and dielectric ceramic materials design.
DOI: 10.17632/fypsrmgdm6
title: Rural-Urban DataDerm JAAD Supplementary Materials

description: Supplementary materials for a brief report entitled "Rural-urban disparities in the use of biologics and non-steroidal topicals for inflammatory dermatologic conditions: A DataDerm study," submitted to JAAD.
DOI: 10.17632/fypsrmgdm6.2
title: Rural-Urban DataDerm JAAD Supplementary Materials

description: Supplementary materials for a brief report entitled "Rural-urban disparities in the use of biologics and non-steroidal topicals for inflammatory dermatologic conditions: A DataDerm study," submitted to JAAD.
DOI: 10.17632/6f9dnp94fd
title: Spatio-temporal Modeling of the Standardized Precipitation Evapotranspiration Index (SPEI) for Enhanced Drought Hazard Assessment in Vietnam

description: The dataset consists of the following components:

1. df_era5_43years.csv
A data frame used for SPEI modelling, containing ground-truth SPEI values along with four key climate variables: precipitation, temperature, wind speed, and solar radiation.

2. Prediction location files
df_predict_2015_precip_template_clean.csv
df_predict_2020_precip_template_clean.csv
These files include extracted point values for all explanatory variables at prediction locations for the years 2015 and 2020, respectively. They are used for spatial prediction of SPEI.

3. Code and scripts
Scripts used for data processing, variable extraction, and SPEI calculation, enabling full reproducibility of the analysis.

4. Local R² results
Output files containing local R² values derived from Geographically Weighted Regression (GWR) models, representing the spatial variability in model performance.

5. SPEI prediction results
Model outputs presenting predicted SPEI values from the GWR model.
DOI: 10.17632/6f9dnp94fd.1
title: Spatio-temporal Modeling of the Standardized Precipitation Evapotranspiration Index (SPEI) for Enhanced Drought Hazard Assessment in Vietnam

description: The dataset consists of the following components:

1. df_era5_43years.csv
A data frame used for SPEI modelling, containing ground-truth SPEI values along with four key climate variables: precipitation, temperature, wind speed, and solar radiation.

2. Prediction location files
df_predict_2015_precip_template_clean.csv
df_predict_2020_precip_template_clean.csv
These files include extracted point values for all explanatory variables at prediction locations for the years 2015 and 2020, respectively. They are used for spatial prediction of SPEI.

3. Code and scripts
Scripts used for data processing, variable extraction, and SPEI calculation, enabling full reproducibility of the analysis.

4. Local R² results
Output files containing local R² values derived from Geographically Weighted Regression (GWR) models, representing the spatial variability in model performance.

5. SPEI prediction results
Model outputs presenting predicted SPEI values from the GWR model.
DOI: 10.17632/fsrxfm75nv
title: Transcutaneous electrical nerve stimulation improved knee osteoarthritis rat and regulates the intestinal microbiota

description: All of raw data except original WB images and 16S rDNA fasq. You can find the original WB images in the journal PLOS ONE and the sequencing data has been uploaded in the CNGBdb database, no. sub067730.
DOI: 10.17632/fsrxfm75nv.2
title: Transcutaneous electrical nerve stimulation improved knee osteoarthritis rat and regulates the intestinal microbiota

description: All of raw data except original WB images and 16S rDNA fasq. You can find the original WB images in the journal PLOS ONE and the sequencing data has been uploaded in the CNGBdb database, no. sub067730.
DOI: 10.15468/dl.zkk7c6
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.43826 15.33582,121.05302 15.33582,121.05302 16.60187,119.43826 16.60187,119.43826 15.33582))",
 "HasGeospatialIssue is false",
 "TaxonKey is Thalassia hemprichii"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009964-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/845974b99817cc90651e6712ce9349d4
title: Tree Census Data of Tropical Dry Forest Succession in Permanent Plots at Palo Verde National Park, Costa Rica (1999–2004), Organization for Tropical Studies (OTS)

description: This data package contains tree census data from eight permanent forest plots established in 1999 across four successional sites within the tropical dry forest of Palo Verde National Park, Guanacaste, Costa Rica (10°21’N, 85°21’W). The plots were established to study forest structure, composition, and successional dynamics under different disturbance histories in the lowland dry forest ecosystem of northwestern Costa Rica.
 
 Each site represents a distinct successional stage, ranging from an early grass-dominated field (Jaragua) to an older partially disturbed remnant forest stand (Varillal). Two permanent 50×50 m plots were established at each site and subdivided into 10×10 m subplots. All woody stems with diameter at breast height (DBH) ≥ 10 cm were tagged, identified to species, and spatially referenced using X–Y coordinates within each plot. For multi-stemmed individuals, all stems meeting the diameter threshold were measured separately.
 
 Tree diameter, condition, and taxonomic identification were recorded during four measurement campaigns in 1999, 2001, 2002, and 2004. The dataset includes species identity, DBH, measurement year, individual condition, and subplot coordinates for each stem.
 
 These data provide a baseline for understanding forest regeneration, mortality, recruitment, and species composition changes in tropical dry forest succession under varying land-use histories. The dataset represents the historical component of an ongoing long-term monitoring program of forest succession conducted by the Organization for Tropical Studies at Palo Verde National Park, led, developed and supported by Eugenio González since its establishment in 1999.
DOI: 10.15468/dl.v7b342
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Museu Paraense Emílio Goeldi - Ornithology Collection - Feathers_and_Skin, Museu Paraense Emílio Goeldi - Ornithology Collection - Skin, AMNH Bird Collection)",
 "TaxonKey is Rhegmatorhina"
 ]
}

 The dataset includes 450 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009965-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17494817
title: Data for: Anomalous hopping regime at Mott transition from disordered semiconductor to disordered metal in Si-doped Ga2O3
DOI: 10.15468/dl.nt46sd
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.18672 15.41736,120.90313 15.41736,120.90313 17.03762,119.18672 17.03762,119.18672 15.41736))",
 "HasGeospatialIssue is false",
 "TaxonKey is Enhalus acoroides"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009966-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mfw9yc4v66
title: Predicting the risk of postoperative constipation in middle-aged and elderly patients with lower limb fractures using machine learning algorithms

description: This dataset contains de-identified clinical data from a cohort of middle-aged and elderly patients who underwent surgery for lower limb fractures. The data were collected to support the development and validation of machine learning models for predicting the risk of postoperative constipation.

The variables encompass patient demographics, pre-operative comorbidities, surgical details, medication use, and postoperative outcomes, with the target variable being the occurrence of constipation within a specified postoperative period. The dataset is provided in a structured format (e.g., .excel) to facilitate reuse in predictive analytics and clinical research.
DOI: 10.17632/mfw9yc4v66.1
title: Predicting the risk of postoperative constipation in middle-aged and elderly patients with lower limb fractures using machine learning algorithms

description: This dataset contains de-identified clinical data from a cohort of middle-aged and elderly patients who underwent surgery for lower limb fractures. The data were collected to support the development and validation of machine learning models for predicting the risk of postoperative constipation.

The variables encompass patient demographics, pre-operative comorbidities, surgical details, medication use, and postoperative outcomes, with the target variable being the occurrence of constipation within a specified postoperative period. The dataset is provided in a structured format (e.g., .excel) to facilitate reuse in predictive analytics and clinical research.
DOI: 10.17632/3kjpy76y36
title: miR-181d regulates RAD51 expression to mediate temozolomide-induced cross-resistance to ionizing radiation in glioblastoma

description: RAD51 is regulated by miR-181d
To identify downstream targets of miR-181d, mRNAs were extracted and profiled after transfection of non-targeting miRNA (miR-NT) or miR-181d mimic, to determine mRNA expression down-regulated by miR-181d. In parallel, we identified mRNAs that exhibited preferential binding to transfected Bi-miR-181d over Bi-miR-NT. The top 10% mRNAs from these two screens (all of which scored higher than MGMT, a bona fide miR-181d target) were cross-referenced, identifying 260 common mRNA candidates (Figure 1A, left panel) that were subsequently subjected to Ingenuity Pathway Analysis (Qiagen). 
 The five top-ranking pathways implicated by the mRNA candidates. Of note, previously identified miR-181d-regulated genes (MGMT, K-Ras, BCL-2, EGR1, and TNF-alpha) play crucial roles in these pathways. The top 10 putative miR-181d targets emerging from our screen. The highest-ranking pathway from this analysis involved genes regulating DNA repair, as evidenced by the presence of RAD51, FANCA, and FANCC. These genes encode proteins that play distinct yet interconnected roles in HR medicated DNA repair.

Method
To identify miR-181d silenced mRNAs, RNA was extracted 48 h after transfection of a miR-181d mimic (40 nM). To identify mRNA bound to Bi-miR-181d, mRNA was isolated 48 h after transfection of a Bi-miR-181d (40 nM) was affinity purified by streptavidin magnetic beads. miR-181d-silenced or -bound mRNA was profiled using an Affymetrix HG-U133+PM microarray by the Beth Israel Deaconess Medical Center (BIDMC) Bioinformatics and Systems Biology Core.
DOI: 10.17632/3kjpy76y36.1
title: miR-181d regulates RAD51 expression to mediate temozolomide-induced cross-resistance to ionizing radiation in glioblastoma

description: RAD51 is regulated by miR-181d
To identify downstream targets of miR-181d, mRNAs were extracted and profiled after transfection of non-targeting miRNA (miR-NT) or miR-181d mimic, to determine mRNA expression down-regulated by miR-181d. In parallel, we identified mRNAs that exhibited preferential binding to transfected Bi-miR-181d over Bi-miR-NT. The top 10% mRNAs from these two screens (all of which scored higher than MGMT, a bona fide miR-181d target) were cross-referenced, identifying 260 common mRNA candidates (Figure 1A, left panel) that were subsequently subjected to Ingenuity Pathway Analysis (Qiagen). 
 The five top-ranking pathways implicated by the mRNA candidates. Of note, previously identified miR-181d-regulated genes (MGMT, K-Ras, BCL-2, EGR1, and TNF-alpha) play crucial roles in these pathways. The top 10 putative miR-181d targets emerging from our screen. The highest-ranking pathway from this analysis involved genes regulating DNA repair, as evidenced by the presence of RAD51, FANCA, and FANCC. These genes encode proteins that play distinct yet interconnected roles in HR medicated DNA repair.

Method
To identify miR-181d silenced mRNAs, RNA was extracted 48 h after transfection of a miR-181d mimic (40 nM). To identify mRNA bound to Bi-miR-181d, mRNA was isolated 48 h after transfection of a Bi-miR-181d (40 nM) was affinity purified by streptavidin magnetic beads. miR-181d-silenced or -bound mRNA was profiled using an Affymetrix HG-U133+PM microarray by the Beth Israel Deaconess Medical Center (BIDMC) Bioinformatics and Systems Biology Core.
DOI: 10.5281/zenodo.17296049
title: Open educational resources (OER), online platforms and training materials for higher education (HE) and technical and vocational education and training (TVET) institutions

description: This dataset is part of the eNaBlS deliverable D1.1 to map the position of biodiversity and Nature-Based Solutions (NBS) in Europe. it provides an overview of platforms and repositories offering Open Educational Resources (OER) and other educational materials related to NBS and biodiversity. The table lists 31 identified platforms and webpages where relevant training materials, such as videos, webinars, MOOCs, modules, and full courses, can be accessed. It distinguishes between generic repositories (e.g., OER Commons, Coursera, TED Talks, Zenodo, Scientix), institutional repositories, and more topic-specific platforms, with Oppla, NBS EduWorld, and NetworkNature highlighted as key resources. The table also indicates the availability of open-source materials and specifies whether the resources are tailored for higher education (HE), technical and vocational education and training (TVET), or both. This compilation serves as a basis for the development of new educational materials in ongoing and future projects.




Disclaimer: Funded by the European Union. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
DOI: 10.5281/zenodo.17296050
title: Open educational resources (OER), online platforms and training materials for higher education (HE) and technical and vocational education and training (TVET) institutions

description: This dataset is part of the eNaBlS deliverable D1.1 to map the position of biodiversity and Nature-Based Solutions (NBS) in Europe. it provides an overview of platforms and repositories offering Open Educational Resources (OER) and other educational materials related to NBS and biodiversity. The table lists 31 identified platforms and webpages where relevant training materials, such as videos, webinars, MOOCs, modules, and full courses, can be accessed. It distinguishes between generic repositories (e.g., OER Commons, Coursera, TED Talks, Zenodo, Scientix), institutional repositories, and more topic-specific platforms, with Oppla, NBS EduWorld, and NetworkNature highlighted as key resources. The table also indicates the availability of open-source materials and specifies whether the resources are tailored for higher education (HE), technical and vocational education and training (TVET), or both. This compilation serves as a basis for the development of new educational materials in ongoing and future projects.




Disclaimer: Funded by the European Union. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
DOI: 10.17632/ss4ytz3747
title: Addition of Fe3+ promoting rapid dehydration for zoisite at subducting plate into the asthenosphere

description: Zoisite is an important hydrous mineral in subduction oceanic crust. The dehydration effect of Fe3+/Al3+ substitution in hydrous minerals to deep-water transport process remains a globally interesting topic but poorly studied. Using an externally heated diamond anvil cell (DAC) system, the behavior of Fe-bearing zoisite during plate subduction was simulated at high temperature and high pressure (HT/HP). Raman spectroscopy was employed to measure the -OH groups in the zoisite structure. The integral absorbance of the Raman vibrational peaks of -OH under varying temperature and pressure environments is used to indicate the water content of zoisite during subduction. It was found that the incorporation of Fe3+ by substituting Al3+ caused zoisite exhibiting a two-stage dehydration. Under conditions of P/T less than 3.3GPa/823K, H+ migrates within the structure (from the AlM3-M12 environment to the FeM3-M12 environment), resulting in slow dehydration. However, after exceeding this temperature and pressure, H+ rapidly escapes from the structure, leading to rapid dehydration. These temperature and pressure environments correspond to a depth of 120 km in the upper asthenosphere, indicating that Fe3+→Al3+ substitution can reduce the amount of water released from zoisite before it reaches the asthenosphere. Once entering the asthenosphere, zoisite begins to dehydrate rapidly at a rate equivalent to 4.5 times that before. Although zoisite (XFe=0.10) can survive near the mantle transition zone along cold subduction zones, more than 94% of its water will be releases when it leaves the asthenosphere. The amount of water transported into the mantle transition zone is less than 6%. The residual zoisite after undergoing partial melting, may contribute to the formation of low-water silicate melts in the low-velocity layer (LVL).
DOI: 10.17632/ss4ytz3747.1
title: Addition of Fe3+ promoting rapid dehydration for zoisite at subducting plate into the asthenosphere

description: Zoisite is an important hydrous mineral in subduction oceanic crust. The dehydration effect of Fe3+/Al3+ substitution in hydrous minerals to deep-water transport process remains a globally interesting topic but poorly studied. Using an externally heated diamond anvil cell (DAC) system, the behavior of Fe-bearing zoisite during plate subduction was simulated at high temperature and high pressure (HT/HP). Raman spectroscopy was employed to measure the -OH groups in the zoisite structure. The integral absorbance of the Raman vibrational peaks of -OH under varying temperature and pressure environments is used to indicate the water content of zoisite during subduction. It was found that the incorporation of Fe3+ by substituting Al3+ caused zoisite exhibiting a two-stage dehydration. Under conditions of P/T less than 3.3GPa/823K, H+ migrates within the structure (from the AlM3-M12 environment to the FeM3-M12 environment), resulting in slow dehydration. However, after exceeding this temperature and pressure, H+ rapidly escapes from the structure, leading to rapid dehydration. These temperature and pressure environments correspond to a depth of 120 km in the upper asthenosphere, indicating that Fe3+→Al3+ substitution can reduce the amount of water released from zoisite before it reaches the asthenosphere. Once entering the asthenosphere, zoisite begins to dehydrate rapidly at a rate equivalent to 4.5 times that before. Although zoisite (XFe=0.10) can survive near the mantle transition zone along cold subduction zones, more than 94% of its water will be releases when it leaves the asthenosphere. The amount of water transported into the mantle transition zone is less than 6%. The residual zoisite after undergoing partial melting, may contribute to the formation of low-water silicate melts in the low-velocity layer (LVL).
DOI: 10.15468/dl.gpjjbz
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Uncaria tomentosa"
 ]
}

 The dataset includes 26 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009967-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.