cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j7648r5v9r
title: Dataset of medicinal plants used by traditional healers in the treatment of malaria and HIV/AIDS in Meconta, Murrupula, and Ribaue districts, northern Mozambique

description: The folder named ‘1-Database-Ethnopharmacological investigation-Nampula Province-MOZAMBIQUE-Version 4’ contains 12 files from three districts, and 3 folders (each one with particular data). The files named ‘1-Demographic data AND Perceptions about Malaria-Meconta, Murrupula, and Ribaue District,2022-2023’ and ‘2-Demographic data AND Perceptions about HIVAIDS-Meconta, Murrupula, and Ribaue District,2022-2023’ contain socio-demographic details of the traditional medicine practitioners and their perceptions about malaria and HIV/AIDS such as their age, gender, marital status, level of education, ethnicity, years of experience, area of study, type of disease, causes, symptons and signs, respectively. The file named ‘3-Medicinal plants-malaria AND HIV-Meconta, Murrupula, and Ribaue district-2022-2023’ contains information about medicinal plants used to treat malaria and HIV/AIDS such as their family, scientific name, local name, area of collection, therapeutic indication, the parts of the plant used to prepare the remedies, mode of preparation, dosage, mode of administration, adverse effect, other traditional use, mixed plants to prepare the remedies and their frequency of citation. The file named ‘4-Medicinal plant and RFC, FL, UV and ICF-Meconta, Murrupula and Ribaue’ contains medicinal plants used by traditional medicine practitioners to treat Malaria and HIV/AIDS and their relative frequency of citation (RFC), fidelity level (FL), Use Value (UV) and Informant Consensus Factory (ICF). There is a consent form, a questionnaire, a Graphical Abstract-2025, and a ‘Figure1MapField’ from the study area. And, some files have their respective English version and Portuguese version. The folder named ‘1-Dataset-Meconta district-2022’ contains 4 files of data from Meconta district. The folders ‘2-Dataset-Murrupula district-2023’ and ‘3-Dataset-Ribaue district-2023’ contain 3 files, respectively.
DOI: 10.17632/j7648r5v9r.4
title: Dataset of medicinal plants used by traditional healers in the treatment of malaria and HIV/AIDS in Meconta, Murrupula, and Ribaue districts, northern Mozambique

description: The folder named ‘1-Database-Ethnopharmacological investigation-Nampula Province-MOZAMBIQUE-Version 4’ contains 12 files from three districts, and 3 folders (each one with particular data). The files named ‘1-Demographic data AND Perceptions about Malaria-Meconta, Murrupula, and Ribaue District,2022-2023’ and ‘2-Demographic data AND Perceptions about HIVAIDS-Meconta, Murrupula, and Ribaue District,2022-2023’ contain socio-demographic details of the traditional medicine practitioners and their perceptions about malaria and HIV/AIDS such as their age, gender, marital status, level of education, ethnicity, years of experience, area of study, type of disease, causes, symptons and signs, respectively. The file named ‘3-Medicinal plants-malaria AND HIV-Meconta, Murrupula, and Ribaue district-2022-2023’ contains information about medicinal plants used to treat malaria and HIV/AIDS such as their family, scientific name, local name, area of collection, therapeutic indication, the parts of the plant used to prepare the remedies, mode of preparation, dosage, mode of administration, adverse effect, other traditional use, mixed plants to prepare the remedies and their frequency of citation. The file named ‘4-Medicinal plant and RFC, FL, UV and ICF-Meconta, Murrupula and Ribaue’ contains medicinal plants used by traditional medicine practitioners to treat Malaria and HIV/AIDS and their relative frequency of citation (RFC), fidelity level (FL), Use Value (UV) and Informant Consensus Factory (ICF). There is a consent form, a questionnaire, a Graphical Abstract-2025, and a ‘Figure1MapField’ from the study area. And, some files have their respective English version and Portuguese version. The folder named ‘1-Dataset-Meconta district-2022’ contains 4 files of data from Meconta district. The folders ‘2-Dataset-Murrupula district-2023’ and ‘3-Dataset-Ribaue district-2023’ contain 3 files, respectively.
DOI: 10.15468/dl.2eh73v
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Ononis arvensis"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070924-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5gghjpwf8m
title: The Ensembles forecast data of the Stevens Flood Advisory System

description: The Stevens Flood Advisory System (http://Stevens.edu/SFAS) is an ensemble total water level forecast system run by the Stevens Institute of Technology since 2016. The Stevens model datasets used in the paper "Chen, et al (2026) Advantages and Challenges of Mid-latitude Super-Ensemble Coastal Water Level Forecasting".
DOI: 10.17632/5gghjpwf8m.3
title: The Ensembles forecast data of the Stevens Flood Advisory System

description: The Stevens Flood Advisory System (http://Stevens.edu/SFAS) is an ensemble total water level forecast system run by the Stevens Institute of Technology since 2016. The Stevens model datasets used in the paper "Chen, et al (2026) Advantages and Challenges of Mid-latitude Super-Ensemble Coastal Water Level Forecasting".
DOI: 10.17632/fmjv5282h2
title: Physical parameters and major ions data from Udham Singh Nagar, Uttarakhand
DOI: 10.17632/fmjv5282h2.1
title: Physical parameters and major ions data from Udham Singh Nagar, Uttarakhand
DOI: 10.17632/4hdhzzvc77
title: Transcriptome analysis reveals the potential mechanism of MAP34-B target to Pasteurella multocida Original data

description: Pasteurella multocida is a prevalent zoonotic pathogen that causes significant damage to the poultry industry. It has been found that antimicrobial peptide MAP34-B exhibits strong antibacterial activity against Pasteurella multocida, although the specific mechanism of its antibacterial action remains unclear. To investigate the precise antibacterial mechanism of MAP34-B against Pasteurella multocida, Clinical strain HB03 of Pasteurella multocida, was conducted transcriptomic analysis on bacterial samples of strain HB03 treated with or without MAP34-B (47.4 µM) for 1 hour using RNA sequencing (RNA-seq).The results showed that, after treatment with MAP34-B, 281 differentially expressed genes were identified, including 161 upregulated genes and 120 downregulated genes. KEGG pathway enrichment analysis revealed that the Ribosome pathway had the highest proportion of affected genes. After treatment with MAP34-B, the expression levels of genes rps2, rps3, rps9, rps16, rpl3, rpl9, rpl22, and rpl23, were upregulated, which may affect bacterial protein synthesis. Additionally, the expression levels of membrane-associated genes, such as SecE, SecG, lolB, and ompR, were also altered, disrupting the integrity of the bacterial cell membrane. Therefore, the antibacterial effect of MAP34-B primarily involves its impact on bacterial cell membrane integrity and protein synthesis, providing a theoretical basis for the use of MAP34-B in the treatment of bacterial infections.
DOI: 10.17632/4hdhzzvc77.1
title: Transcriptome analysis reveals the potential mechanism of MAP34-B target to Pasteurella multocida Original data

description: Pasteurella multocida is a prevalent zoonotic pathogen that causes significant damage to the poultry industry. It has been found that antimicrobial peptide MAP34-B exhibits strong antibacterial activity against Pasteurella multocida, although the specific mechanism of its antibacterial action remains unclear. To investigate the precise antibacterial mechanism of MAP34-B against Pasteurella multocida, Clinical strain HB03 of Pasteurella multocida, was conducted transcriptomic analysis on bacterial samples of strain HB03 treated with or without MAP34-B (47.4 µM) for 1 hour using RNA sequencing (RNA-seq).The results showed that, after treatment with MAP34-B, 281 differentially expressed genes were identified, including 161 upregulated genes and 120 downregulated genes. KEGG pathway enrichment analysis revealed that the Ribosome pathway had the highest proportion of affected genes. After treatment with MAP34-B, the expression levels of genes rps2, rps3, rps9, rps16, rpl3, rpl9, rpl22, and rpl23, were upregulated, which may affect bacterial protein synthesis. Additionally, the expression levels of membrane-associated genes, such as SecE, SecG, lolB, and ompR, were also altered, disrupting the integrity of the bacterial cell membrane. Therefore, the antibacterial effect of MAP34-B primarily involves its impact on bacterial cell membrane integrity and protein synthesis, providing a theoretical basis for the use of MAP34-B in the treatment of bacterial infections.
DOI: 10.15468/dl.8jzxnn
title: Occurrence Download

description: A dataset containing 125947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.26.16_1",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 125947 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070917-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fvxbz243zx
title: Dataset for "Transport of Pt and Pd in hydrous sodium silicate melt: a study from X-ray absorption spectroscopy"

description: Data for Chen et al. "Transport of Pt and Pd in hydrous sodium silicate melt: a study from X-ray absorption spectroscopy" to be published by Geochimica et Cosmochimica Acta
DOI: 10.17632/fvxbz243zx.2
title: Dataset for "Transport of Pt and Pd in hydrous sodium silicate melt: a study from X-ray absorption spectroscopy"

description: Data for Chen et al. "Transport of Pt and Pd in hydrous sodium silicate melt: a study from X-ray absorption spectroscopy" to be published by Geochimica et Cosmochimica Acta
DOI: 10.17632/g58z3chzvv
title: Dataset of gully channel dimensions (length, area, and volume) in the black soil region
DOI: 10.17632/g58z3chzvv.1
title: Dataset of gully channel dimensions (length, area, and volume) in the black soil region
DOI: 10.17632/bpsphbwymg
title: Keystone metabolites drive the core microbiome to confer plant stress resilience in Robinia pseudoacacia

description: Research Background: Frequent droughts severely threaten ecosystem structure and plant growth. Root exudates regulate rhizosphere microbial communities to facilitate plant adaptation to abiotic stresses; however, the interaction mechanisms between keystone metabolites and the core microbiome under drought stress remain poorly understood in woody plant systems. Robinia pseudoacacia (black locust), a pioneer species for ecological restoration on the Loess Plateau, the integrated mechanism linking "keystone metabolites–core microbiome–plant stress tolerance" underlying its drought adaptation urgently needs investigation.
 Taking mature R. pseudoacacia stands in two ecological zones with a north-south drought gradient on the Loess Plateau (the northern drought-prone region, LPN; the southern relatively humid region, LPS) as research objects, untargeted metabolomic profiling was used to analyze rhizosphere metabolite composition, combined with 16S rRNA amplicon sequencing to characterize microbial community structure. Co-occurrence network analysis was performed to explore the associations between keystone metabolites and the core microbiome, and soil physicochemical properties and climatic data were integrated to identify environmental driving factors.
DOI: 10.17632/bpsphbwymg.1
title: Keystone metabolites drive the core microbiome to confer plant stress resilience in Robinia pseudoacacia

description: Research Background: Frequent droughts severely threaten ecosystem structure and plant growth. Root exudates regulate rhizosphere microbial communities to facilitate plant adaptation to abiotic stresses; however, the interaction mechanisms between keystone metabolites and the core microbiome under drought stress remain poorly understood in woody plant systems. Robinia pseudoacacia (black locust), a pioneer species for ecological restoration on the Loess Plateau, the integrated mechanism linking "keystone metabolites–core microbiome–plant stress tolerance" underlying its drought adaptation urgently needs investigation.
 Taking mature R. pseudoacacia stands in two ecological zones with a north-south drought gradient on the Loess Plateau (the northern drought-prone region, LPN; the southern relatively humid region, LPS) as research objects, untargeted metabolomic profiling was used to analyze rhizosphere metabolite composition, combined with 16S rRNA amplicon sequencing to characterize microbial community structure. Co-occurrence network analysis was performed to explore the associations between keystone metabolites and the core microbiome, and soil physicochemical properties and climatic data were integrated to identify environmental driving factors.
DOI: 10.17632/y7rkybtfn3
title: Fluid mixing as the dominant ore-forming mechanism in the large Derbur intermediate-sulfidation epithermal deposit: Evidence from in situ O-S isotopes and elemental geochemistry

description: Supplementary material 1. In situ LA -ICP-MS trace element concentrations of sphalerite from the mineralization stage of the Derbur deposit.
Supplementary material 2. In situ LA-MC-ICP-MS sulfur isotope of sphalerite from the mineralization stage of the Derbur deposit.
Supplementary material 3. In situ SIMS oxygen isotope of quartz from the mineralization stage of the Derbur deposit.
DOI: 10.17632/y7rkybtfn3.1
title: Fluid mixing as the dominant ore-forming mechanism in the large Derbur intermediate-sulfidation epithermal deposit: Evidence from in situ O-S isotopes and elemental geochemistry

description: Supplementary material 1. In situ LA -ICP-MS trace element concentrations of sphalerite from the mineralization stage of the Derbur deposit.
Supplementary material 2. In situ LA-MC-ICP-MS sulfur isotope of sphalerite from the mineralization stage of the Derbur deposit.
Supplementary material 3. In situ SIMS oxygen isotope of quartz from the mineralization stage of the Derbur deposit.
DOI: 10.17632/2y79cxhbsg
title: Academic Expectancies of Significant Others and Elementary Students' Learning Engagement and Outcomes

description: Dataset Contents: Survey and achievement data from 100 4th-grade students in Harare, Zimbabwe, collected in 2025. Includes:
- Student demographics (age, gender)
- Parent aspirations and expectations (5-point scale)
- Teacher academic expectations (3-5 point scale)
- Student-reported perceived academic competence (6-item composite)
- Three dimensions of learning engagement (affective, behavioral, cognitive)
- Academic achievement scores (individual and relative ranking)
- Calculated aspiration-expectation gap scores

Key Variables:
- `participant_id`: Unique identifier (1-100)
- `pac`: Perceived Academic Competence (1.5-4.1 scale)
- `teacher_exp`: Teachers' expectations (3-5 scale)
- `parent_aspiration/parent_exp`: Parental hopes vs. realistic predictions
- `aff_engage/beh_engage/cog_engage`: Learning engagement dimensions
- `ach_i`: Individual achievement (65-96%)
- `asp_exp_gap`: Discrepancy between parent aspirations and expectations

Methodology: Two-wave study with parent/teacher surveys (August 2025) and student measures (September 2025).

Sample: 100 students (63% female), their parents/guardians (56% mothers), and 4 teachers from one public primary school.

Research Focus: Examining how significant others' academic expectancies influence students' self-perceptions, engagement, and achievement through Expectancy-Value Theory.

Format: Clean CSV with composite scores pre-calculated, no missing data in key variables, ready for statistical analysis.

Citation: Dataset supports research on educational psychology, cultural influences on motivation, and expectancy transmission mechanisms in Global South contexts.
DOI: 10.17632/2y79cxhbsg.1
title: Academic Expectancies of Significant Others and Elementary Students' Learning Engagement and Outcomes

description: Dataset Contents: Survey and achievement data from 100 4th-grade students in Harare, Zimbabwe, collected in 2025. Includes:
- Student demographics (age, gender)
- Parent aspirations and expectations (5-point scale)
- Teacher academic expectations (3-5 point scale)
- Student-reported perceived academic competence (6-item composite)
- Three dimensions of learning engagement (affective, behavioral, cognitive)
- Academic achievement scores (individual and relative ranking)
- Calculated aspiration-expectation gap scores

Key Variables:
- `participant_id`: Unique identifier (1-100)
- `pac`: Perceived Academic Competence (1.5-4.1 scale)
- `teacher_exp`: Teachers' expectations (3-5 scale)
- `parent_aspiration/parent_exp`: Parental hopes vs. realistic predictions
- `aff_engage/beh_engage/cog_engage`: Learning engagement dimensions
- `ach_i`: Individual achievement (65-96%)
- `asp_exp_gap`: Discrepancy between parent aspirations and expectations

Methodology: Two-wave study with parent/teacher surveys (August 2025) and student measures (September 2025).

Sample: 100 students (63% female), their parents/guardians (56% mothers), and 4 teachers from one public primary school.

Research Focus: Examining how significant others' academic expectancies influence students' self-perceptions, engagement, and achievement through Expectancy-Value Theory.

Format: Clean CSV with composite scores pre-calculated, no missing data in key variables, ready for statistical analysis.

Citation: Dataset supports research on educational psychology, cultural influences on motivation, and expectancy transmission mechanisms in Global South contexts.
DOI: 10.17632/dm82fdf5nj
title: Ensemble future climate daily data for Vellar river basin

description: This dataset comprises historical and projected climate variables, including precipitation, minimum temperature (Tmin), maximum temperature (Tmax), and reference evapotranspiration (ETo), developed to support climate change impact assessments, hydrological studies, and agro-climatological applications for Vellar river basin. 

The historical climate data represent observed or reanalysis-based records for the baseline period (1951–2024), while the future climate projections are derived from Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs). Future projections are provided under multiple Shared Socioeconomic Pathway (SSP) scenarios (e.g., SSP1-2.6, SSP2-4.5, SSP5-8.5) .

Precipitation and temperature datasets were bias-corrected and downscaled to improve regional applicability. The reference evapotranspiration (ETo) was estimated using the Hargreaves–Samani method, employing temperature and other relevant climatic inputs. All variables are provided at a daily temporal scale, ensuring compatibility for integrated climate and impact analyses.

The dataset is organized into clearly structured folders separating historical and future periods, with each variable stored in standard formats (.XLSX). This dataset is particularly useful for water resource planning, drought and climate extreme analysis, crop water requirement estimation, and climate vulnerability assessments.
DOI: 10.17632/dm82fdf5nj.1
title: Ensemble future climate daily data for Vellar river basin

description: This dataset comprises historical and projected climate variables, including precipitation, minimum temperature (Tmin), maximum temperature (Tmax), and reference evapotranspiration (ETo), developed to support climate change impact assessments, hydrological studies, and agro-climatological applications for Vellar river basin. 

The historical climate data represent observed or reanalysis-based records for the baseline period (1951–2024), while the future climate projections are derived from Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs). Future projections are provided under multiple Shared Socioeconomic Pathway (SSP) scenarios (e.g., SSP1-2.6, SSP2-4.5, SSP5-8.5) .

Precipitation and temperature datasets were bias-corrected and downscaled to improve regional applicability. The reference evapotranspiration (ETo) was estimated using the Hargreaves–Samani method, employing temperature and other relevant climatic inputs. All variables are provided at a daily temporal scale, ensuring compatibility for integrated climate and impact analyses.

The dataset is organized into clearly structured folders separating historical and future periods, with each variable stored in standard formats (.XLSX). This dataset is particularly useful for water resource planning, drought and climate extreme analysis, crop water requirement estimation, and climate vulnerability assessments.
DOI: 10.5281/zenodo.18121063
title: agalinis_viridis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18121064
title: agalinis_viridis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18120990
title: agalinis_strictifolia_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18120991
title: agalinis_strictifolia_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18121003
title: agalinis_tenuifolia_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18121004
title: agalinis_tenuifolia_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.ykjjc3
title: Occurrence Download

description: A dataset containing 1164704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudynamys scolopaceus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1164704 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070914-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upznmx
title: Occurrence Download

description: A dataset containing 326065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 2020-2020"
 ]
}

 The dataset includes 326065 records from 395 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070919-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242234
title: Federal University of Agriculture, Zuru 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Federal University of Agriculture, Zuru 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542