cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5w3skwj28k.1
title: Anti-fatigue potential of glycoprotein from Periplaneta americana: improving oxidative stress and regulating the gut microbiota

description: Fatigue, as a complex physiological phenomenon, has emerged as a growing global health concern. Glycoproteins from Periplaneta americana (PA), a medicinal insect resource, exhibit pharmacological activities (e.g., regulating the gut microbiota (GM), antioxidation and enhancing immunity) consistent with the core therapeutic targets for anti-fatigue. This study aimed to investigate the efficacy and mechanisms of PA glycoprotein (PAG) in anti-fatigue. The antioxidant capacity of PAG was evaluated by detecting antioxidant-related indexes in simulated gastrointestinal environment. The effectiveness of PAG in anti-fatigue was verified through swimming time measurement, histological staining and biochemical index monitoring. 16S rRNA sequencing, targeted metabolomics and Spearman correlation analysis were integrated to dissect the underlying mechanism of its anti-fatigue effect. PAG has excellent antioxidant activity. Secondly, PAG exerts anti-fatigue effects through multiple mechanisms: prolonged swimming time, improved liver injury, increased glutathione peroxidase and superoxide dismutase activities, decreased malondialdehyde level, promoted glycogen storage, simultaneously inhibited lactate dehydrogenase and creatine kinase activities, and reduced blood urea nitrogen and lactate accumulation in fatigued mice, altered the composition and structure of GM, and increased short-chain fatty acids (SCFAs) content. In conclusion, these findings suggest that PAG is promising candidates for anti-fatigue, and it warrants further systematic investigation for clinical translation.
DOI: 10.17632/2wxnmhwkhm
title: Molecular screening of adenomatous gastrointestinal polyposis syndrome

description: DNA extracted from sixty subjects with clinical suspicion/diagnosis of polyposis and twenty health subjects were analyzed, using the NGS technique, for genes involved in the adenomatous polyposis. Patients n° 13 and 44 were also analyzed for genes involved in the hamartomatous polyposis. Two gene panels, one specific for the adenomatous polyposis syndromes, including 6 genes: APC (NM_000038.6), AXIN2 (NM_004655.3), MUTYH (NM_001048174.2), NTHL1 (NM_002528.7), POLD1 (NM_002691.4), and POLE (NM_006231.4) and another specific for the hamartomatous polyposis, including 10 genes (AKT1 (NM_001382430.1), BMPR1A (NM_004329.3), CDH1 (NM_004360.5), ENG (NM_001114753.3), PIK3CA (NM_006218.4), PTEN (NM_000314.8), SDHB (NM_003000.3), SDHD (NM_003002.4), SMAD4 (NM_005359.6), and STK11/LKB1(NM_000455.5), and previously described) were analyzed by next generation sequence technique using AmpliSeq Library PLUS for Illumina Kit (catalog ID: 20019101) according to the manufacturers’ instructions.
DOI: 10.17632/2wxnmhwkhm.1
title: Molecular screening of adenomatous gastrointestinal polyposis syndrome

description: DNA extracted from sixty subjects with clinical suspicion/diagnosis of polyposis and twenty health subjects were analyzed, using the NGS technique, for genes involved in the adenomatous polyposis. Patients n° 13 and 44 were also analyzed for genes involved in the hamartomatous polyposis. Two gene panels, one specific for the adenomatous polyposis syndromes, including 6 genes: APC (NM_000038.6), AXIN2 (NM_004655.3), MUTYH (NM_001048174.2), NTHL1 (NM_002528.7), POLD1 (NM_002691.4), and POLE (NM_006231.4) and another specific for the hamartomatous polyposis, including 10 genes (AKT1 (NM_001382430.1), BMPR1A (NM_004329.3), CDH1 (NM_004360.5), ENG (NM_001114753.3), PIK3CA (NM_006218.4), PTEN (NM_000314.8), SDHB (NM_003000.3), SDHD (NM_003002.4), SMAD4 (NM_005359.6), and STK11/LKB1(NM_000455.5), and previously described) were analyzed by next generation sequence technique using AmpliSeq Library PLUS for Illumina Kit (catalog ID: 20019101) according to the manufacturers’ instructions.
DOI: 10.17632/hbsjp7bgrm
title: Dataset for "Vegetation-hydrology feedbacks regulate soil salinity and enhance coastal salt marsh resilience"

description: This Dataset includes two sheets. The first sheet shows the time-series data (precipitation, air temperature, water head, soil electrical conductivity) recorded in two field monitoring sites in a natural salt marsh at the coast of Jiangsu Province, China. The second sheet shows the temporal changes of mean soil EC and SCR within different depth sections during the contorlled experiment.
DOI: 10.17632/hbsjp7bgrm.1
title: Dataset for "Vegetation-hydrology feedbacks regulate soil salinity and enhance coastal salt marsh resilience"

description: This Dataset includes two sheets. The first sheet shows the time-series data (precipitation, air temperature, water head, soil electrical conductivity) recorded in two field monitoring sites in a natural salt marsh at the coast of Jiangsu Province, China. The second sheet shows the temporal changes of mean soil EC and SCR within different depth sections during the contorlled experiment.
DOI: 10.17632/rhby6j4wr7
title: Metal thermal pattern

description: Metal thermal pattern for classification by viewing heating and cooling phases
To access the data, Cite the following article 
10.1109/ACCESS.2025.3610992
DOI: 10.17632/rhby6j4wr7.2
title: Metal thermal pattern

description: Metal thermal pattern for classification by viewing heating and cooling phases
To access the data, Cite the following article 
10.1109/ACCESS.2025.3610992
DOI: 10.5281/zenodo.17145120
title: test_upload
DOI: 10.5281/zenodo.17145121
title: test_upload
DOI: 10.17632/bskx9ygpxj
title: Back Flash Overvoltage MATLAB Model

description: This document delineates the primary considerations for the development of a back flash overvoltage model in MATLAB/Simulink and provides lightning current models created in MATLAB that are not included in the original Simulink library.
DOI: 10.17632/bskx9ygpxj.4
title: Back Flash Overvoltage MATLAB Model

description: This document delineates the primary considerations for the development of a back flash overvoltage model in MATLAB/Simulink and provides lightning current models created in MATLAB that are not included in the original Simulink library.
DOI: 10.15468/dl.8uztxe
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytolacca esculenta",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012416-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdw9hg
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calliandra riparia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 191 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012418-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnyetf
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012417-250914085247600/datasets/export for details.
DOI: 10.17632/hs9ssrb3k5.2
title: Phenotype-Specific Mitochondrial Genomic Signatures and Multi-Factorial Speciation in Tropical Sea Urchins with Spine Color Polymorphism

description: The complete mitochondrial genome of the tropical sea urchin Echinometra mathaei (de Blainville, 1825) with three different spinal color phenotypes (brown, green and white) collected from the coastal waters of Sanya was sequenced. The length of mitochondrial genome of the brown-spined, the green-spined and the white-spined sea urchin is 15696 bp, 15696 bp and 15693 bp, respectively. The three genomes each contain 13 protein coding genes, 22 tRNA genes and 2 rRNA genes. Based on the 16 sequences with high similarity obtained from NCBI and all coding sequences of the three mitochondrial genome sequences, the base composition was analyzed, and the phylogenetic tree was constructed by maximum likelihood method. The results indicated that all three phenotypes exhibited a significant A+T bias, which is consistent with the general nucleotide composition patterns observed in sea urchins. The A-T skew values show that the brown-spined sea urchin is -0.0556, the green one is -0.0554, and the white one is -0.0563, indicating a slight asymmetry in the distribution of A/T between DNA strands. Phylogenetic analysis showed that the three phenotypes and two species of Echinometra genus formed a good monophyletic evolutionary clade, but there was a certain genetic differentiation among the three sea urchins.
The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at [https://www.ncbi.nlm.nih.gov] (https://www.ncbi.nlm.nih.gov/) under the accession no. PX252144 (brown-spined Echinometra mathaei) – PX252145 (green-spined E. mathaei) – PX252146 (white-spined E. mathaei). The raw genome sequence data has been publicly stored in the SRA database of the NCBI. The bioproject data numbers are PRJNA1312048 (brown-spined E. mathaei) – PRJNA1312050 (green-spined E. mathaei) – PRJNA1312056 (white-spined E. mathaei). The biosample data numbers are SAMN50847818 (brown-spined E. mathaei) – SAMN50847837 (green-spined E. mathaei) – SAMN50848074 (white-spined E. mathaei). The SRA data numbers are SRR35197848 (brown-spined E. mathaei) – SRR35197869 (green-spined E. mathaei) – SRR35197872 (white-spined E. mathaei).
DOI: 10.17632/5nzr53w6jp
title: South African soil, land cover and weather generator file databases for SWAT

description: This study provides multiple geo-spatial datasets at a national scale for use as baseline input to run ArcSWAT (graphical user interface for SWAT in ArcGIS) or QSWAT (graphical user interface for SWAT+ in QGIS) in South Africa. The input datasets include the following:
• SWAT catchment outline data (tertiary and quaternary);
• Land cover maps at 20-30 m resolution including South African National Land Cover (2014; 2018; 2020) linked to SWAT land cover codes;
• A soil map with SWAT attribute data derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250,000;
• Weather statistics (WGN) files for 12 weather stations obtained from the Agricultural Research Council in South Africa.
DOI: 10.17632/5nzr53w6jp.3
title: South African soil, land cover and weather generator file databases for SWAT

description: This study provides multiple geo-spatial datasets at a national scale for use as baseline input to run ArcSWAT (graphical user interface for SWAT in ArcGIS) or QSWAT (graphical user interface for SWAT+ in QGIS) in South Africa. The input datasets include the following:
• SWAT catchment outline data (tertiary and quaternary);
• Land cover maps at 20-30 m resolution including South African National Land Cover (2014; 2018; 2020) linked to SWAT land cover codes;
• A soil map with SWAT attribute data derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250,000;
• Weather statistics (WGN) files for 12 weather stations obtained from the Agricultural Research Council in South Africa.
DOI: 10.17632/my854jgy65
title: Try a name

description: the data for the paper
DOI: 10.17632/my854jgy65.1
title: Try a name

description: the data for the paper
DOI: 10.17632/8dyh23ckyz
title: Garcia-Toledo et al 2025. BSocial tool deciphers highly functional plant growth-promoting microbial consortia

description: Plant growth-promoting trait (PGPT) values for social consortia (SynCom). The complete dataset of the mean PGPT values for siderophore production, phosphate solubiliation, and indole acetic acid production values for all 255 populations. The 255 populations were the result of the complete combinatorial of 8 strains: A. brasilense, B. valentinum, E. medicae, B. subtilis, P. chlororaphis, P. fluorescens, P. lutea & P. rhizosphaerae. The IDs for each population can be found in the supplmentary material of the paper (Table S1.).
DOI: 10.17632/8dyh23ckyz.1
title: Garcia-Toledo et al 2025. BSocial tool deciphers highly functional plant growth-promoting microbial consortia

description: Plant growth-promoting trait (PGPT) values for social consortia (SynCom). The complete dataset of the mean PGPT values for siderophore production, phosphate solubiliation, and indole acetic acid production values for all 255 populations. The 255 populations were the result of the complete combinatorial of 8 strains: A. brasilense, B. valentinum, E. medicae, B. subtilis, P. chlororaphis, P. fluorescens, P. lutea & P. rhizosphaerae. The IDs for each population can be found in the supplmentary material of the paper (Table S1.).
DOI: 10.17632/ht3gx4f7wg
title: Parrotin et al., 2025

description: The Abinky formation, located in the southern part of the Tim Mersoï Basin (Niger) consists of three distinct facies, each characterized by specific mineralogical and grain organisation, but all containing analcime (~ &gt; 70 wt%), an ANA-type zeolite. Reduced facies contains Fe-chlorite, while oxidized facies includes hematite, and the ‘transition’ facies is intermediate. Due to the low permeability of these analcime-rich rocks, diffusion is expected to be the dominant transport mechanism. However, no data on transport properties in zeolite-rich formations have been reported, and the mobility of water and ionic solutes remains unknown. This study aims to characterize diffusion in the three facies of the Abinky formation, identifying key controls on water and ion transport prior to any anthropogenic perturbation. 
Through-diffusion experiments using water tracers (HDO and HTO) showed that water diffusion (effective diffusion coefficient from 1.3 to 2 × 10-11 m²/s) is primarily controlled by pore throat size rather than total porosity. A dual-porosity model was required, distinguishing a fast-transport network (open, low-tortuous zones) from a slow one (confined, tortuous zones). Despite variations in diffusion coefficients, all data are interpreted with capacity factors equal to total external porosity measured by water impregnation (excluding crystal water in zeolite micropores). This confirms that water behaves as an inert tracer and that micropores contribute negligibly to migration. For ionic tracers in reduced facies, 36Cl- is partially excluded from external pores (anionic exclusion) and slightly adsorbed with an extent of about 9 × 10-2 meq/100 g) that is a very small value compared to the cation exchange capacities of such rocks (up to ~40 meq/100 g for H+ and NH4+). In contrast, ²²Na⁺ exhibits strong adsorption due to isotopic exchange with 23Na+ in the analcime framework, leading to a diffusivity ~4 times higher than that of water. This dataset is a first step in constraining reactive transport models of water and solutes in zeolite-rich porous media under environmental conditions and prior to anthropogenic disturbances such as in-situ acid leaching.
DOI: 10.17632/ht3gx4f7wg.1
title: Parrotin et al., 2025

description: The Abinky formation, located in the southern part of the Tim Mersoï Basin (Niger) consists of three distinct facies, each characterized by specific mineralogical and grain organisation, but all containing analcime (~ &gt; 70 wt%), an ANA-type zeolite. Reduced facies contains Fe-chlorite, while oxidized facies includes hematite, and the ‘transition’ facies is intermediate. Due to the low permeability of these analcime-rich rocks, diffusion is expected to be the dominant transport mechanism. However, no data on transport properties in zeolite-rich formations have been reported, and the mobility of water and ionic solutes remains unknown. This study aims to characterize diffusion in the three facies of the Abinky formation, identifying key controls on water and ion transport prior to any anthropogenic perturbation. 
Through-diffusion experiments using water tracers (HDO and HTO) showed that water diffusion (effective diffusion coefficient from 1.3 to 2 × 10-11 m²/s) is primarily controlled by pore throat size rather than total porosity. A dual-porosity model was required, distinguishing a fast-transport network (open, low-tortuous zones) from a slow one (confined, tortuous zones). Despite variations in diffusion coefficients, all data are interpreted with capacity factors equal to total external porosity measured by water impregnation (excluding crystal water in zeolite micropores). This confirms that water behaves as an inert tracer and that micropores contribute negligibly to migration. For ionic tracers in reduced facies, 36Cl- is partially excluded from external pores (anionic exclusion) and slightly adsorbed with an extent of about 9 × 10-2 meq/100 g) that is a very small value compared to the cation exchange capacities of such rocks (up to ~40 meq/100 g for H+ and NH4+). In contrast, ²²Na⁺ exhibits strong adsorption due to isotopic exchange with 23Na+ in the analcime framework, leading to a diffusivity ~4 times higher than that of water. This dataset is a first step in constraining reactive transport models of water and solutes in zeolite-rich porous media under environmental conditions and prior to anthropogenic disturbances such as in-situ acid leaching.
DOI: 10.17632/xndrykp4mg
title: Loess data in the Chinese sand-loess belt

description: There exist data of grain size parameters, magnetic susceptibility (MS), reconstructed paleo-precipitation based on MS, grain size end-members, and fractal dimension.
DOI: 10.17632/xndrykp4mg.2
title: Loess data in the Chinese sand-loess belt

description: There exist data of grain size parameters, magnetic susceptibility (MS), reconstructed paleo-precipitation based on MS, grain size end-members, and fractal dimension.
DOI: 10.17632/6fv9dbh5kr.2
title: BanglaAccent: Annotated Bangla Dialects with Demographic Metadata

description: Desher Vasha is a curated speech dataset capturing dialectal variation across more than 20 distinct regions of Bangladesh. Designed to support linguistic research, educational tools, and low-resource NLP development, the corpus includes voice recordings annotated with rich metadata such as speaker location, age, gender, and dialectal features.

Use Cases
• Linguistic research: Dialect classification, phoneme variation, sociolinguistic mapping
• Educational tools: Role-based apps for dialect awareness and pronunciation training
• NLP & ASR: Benchmarking for Bangla speech recognition, especially in low-resource and dialect-sensitive contexts
• Cultural preservation: Documenting endangered or underrepresented dialects
DOI: 10.17632/thkrb4d7jw
title: Assessing Canopy Shade in Tropical Headwater Streams

description: Forests play a vital role in maintaining healthy riparian ecosystems, influencing hydrological processes and water quality. This study aims to characterize the forest canopy structure using drone-based LiDAR technology to model shading in headwater streams. Specifically, we evaluate the effectiveness of fractional canopy cover metrics derived from high-resolution 3D point clouds in predicting solar radiation interception (fPAR) by riparian forests.

Ecological Context:
By linking forest fractional cover derived from LiDAR with light interception data, the aim was to better understand the relation of canopy cover with light interception. This approach would enhance studies that consider light interception in ecological processes, such as gas exchange and biomass productivity in tropical riparian forests.

This project involves two interconnected analyses:
(1) Forest Cover Extraction from LiDAR Data.
(2) Correlate to the fractions of light intercepted by riparian canopy, using the fractional canopy cover (fcover) across study sites, providing spatially explicit forest structure data.

Modeling and spatial prediction of light interception (fPAR):
Using environmental and forest variables, a predictive model for fPAR was developed based on field measurements and rasterized predictor data, thereby enabling the spatial mapping of the potential light interception.

High-resolution drone LiDAR data were collected from five riparian zones of low-order headwater streams. Simultaneous measurements of solar radiation in open areas and under forest canopy allowed us to quantify the fraction of light intercepted by vegetation (fPAR). Fractional canopy cover was calculated following the methodology by Hopkinson and Chasmer (2009). A Random Forest model calibrated with field measurements assessed the relationship between fractional cover and solar radiation interception, with model performance evaluated using leave-one-out cross-validation, showing strong predictive capacity (R² = 0.79, RMSE ≈ 0.061, MAE ≈ 0.045). This approach demonstrates the potential of integrating high-resolution LiDAR and ground-based data for ecological research and forest management. In the particular case for understanding canopy effects on aquatic ecosystems in tropical regions.
DOI: 10.17632/thkrb4d7jw.1
title: Assessing Canopy Shade in Tropical Headwater Streams

description: Forests play a vital role in maintaining healthy riparian ecosystems, influencing hydrological processes and water quality. This study aims to characterize the forest canopy structure using drone-based LiDAR technology to model shading in headwater streams. Specifically, we evaluate the effectiveness of fractional canopy cover metrics derived from high-resolution 3D point clouds in predicting solar radiation interception (fPAR) by riparian forests.

Ecological Context:
By linking forest fractional cover derived from LiDAR with light interception data, the aim was to better understand the relation of canopy cover with light interception. This approach would enhance studies that consider light interception in ecological processes, such as gas exchange and biomass productivity in tropical riparian forests.

This project involves two interconnected analyses:
(1) Forest Cover Extraction from LiDAR Data.
(2) Correlate to the fractions of light intercepted by riparian canopy, using the fractional canopy cover (fcover) across study sites, providing spatially explicit forest structure data.

Modeling and spatial prediction of light interception (fPAR):
Using environmental and forest variables, a predictive model for fPAR was developed based on field measurements and rasterized predictor data, thereby enabling the spatial mapping of the potential light interception.

High-resolution drone LiDAR data were collected from five riparian zones of low-order headwater streams. Simultaneous measurements of solar radiation in open areas and under forest canopy allowed us to quantify the fraction of light intercepted by vegetation (fPAR). Fractional canopy cover was calculated following the methodology by Hopkinson and Chasmer (2009). A Random Forest model calibrated with field measurements assessed the relationship between fractional cover and solar radiation interception, with model performance evaluated using leave-one-out cross-validation, showing strong predictive capacity (R² = 0.79, RMSE ≈ 0.061, MAE ≈ 0.045). This approach demonstrates the potential of integrating high-resolution LiDAR and ground-based data for ecological research and forest management. In the particular case for understanding canopy effects on aquatic ecosystems in tropical regions.