cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kdjzc7s3rz.2
title: Supplementary material-Paloyan

description: Our study was based on the hypothesis that whey, a dairy side-stream with high nutritional content and low cost, can serve as an efficient substrate for the screening and fermentation of protease-producing Bacillus strains, and that the produced proteases can hydrolyze whey proteins into low-molecular-weight peptides and amino acids with functional and industrial potential. To test this hypothesis, soil samples were collected and screened on whey-based media. From 25 isolates, two strains showed the strongest proteolytic activity and were identified by 16S rRNA sequencing as Bacillus amyloliquefaciens LK1 and Bacillus subtilis LK2. Both strains secreted extracellular serine proteases with molecular weights around 30 kDa and isoelectric points near 8.5. Enzyme production was optimized by varying incubation times and aeration rates. Maximum protease activity was observed after 48 h of cultivation, reaching 748 U/L for LK1 and 650 U/L for LK2 when sweet whey was used as the growth medium, demonstrating whey’s value as a fermentation substrate.

Biochemical characterization showed that the enzymes were active across a wide pH range (6–10) with optima at pH 8–9, and temperature optima of 60–65 °C. Both retained stability for several hours at 55 °C but were completely inhibited by PMSF and partially by EDTA/EGTA, confirming they are subtilisin-like serine proteases. LK1 displayed greater tolerance to salts and detergents compared to LK2, a trait advantageous for industrial applications. Application studies demonstrated that LK1 efficiently hydrolyzed both sweet and acid whey proteins, producing small peptides and free amino acids, and in the case of acid whey, achieving complete hydrolysis of high-molecular-weight proteins. Comparative assays with commercial proteases showed that LK1 performed as effectively as some industrial enzymes and surpassed others, highlighting its unique potential. The resulting whey protein hydrolysates are enriched in peptides with known antioxidant, antimicrobial, antihypertensive, and immunomodulatory properties, underscoring their relevance in functional foods and nutraceutical applications.

The data were gathered through a combination of microbiological screening, phylogenetic analysis, fermentation optimization, enzyme purification, SDS-PAGE and isoelectric focusing, biochemical stability assays, and functional hydrolysis experiments. Together, these methods provided a robust dataset linking microbial strain selection to enzyme properties and functional outcomes. In summary, our findings confirm that whey can be successfully valorized as a cultivation and application medium for protease-producing Bacillus strains. The enzymes produced, particularly from B. amyloliquefaciens LK1 demonstrate strong potential for industrial applications in whey hydrolysis and bioactive peptide generation. This work supports both enzyme technology development and circular bioeconomy strategies for dairy waste valorization.
DOI: 10.17632/xbbb7772zr
title: Xinjiang Soil

description: This repository contains the data used in the study “A spatial source-oriented and probabilistic health risk assessment framework for soil heavy metals in southwest Xinjiang, China ”, including raw sequencing data and key physicochemical datasets. The research investigates the link of pollution sources directly to probabilistic HHR evaluation, enabling precise high-risk hotpot delineation and risk formation mechanistic analysis。
DOI: 10.17632/xbbb7772zr.1
title: Xinjiang Soil

description: This repository contains the data used in the study “A spatial source-oriented and probabilistic health risk assessment framework for soil heavy metals in southwest Xinjiang, China ”, including raw sequencing data and key physicochemical datasets. The research investigates the link of pollution sources directly to probabilistic HHR evaluation, enabling precise high-risk hotpot delineation and risk formation mechanistic analysis。
DOI: 10.15468/dl.ha3ku5
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Espeletiopsis corymbosa"
 ]
}

 The dataset includes 1212 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031876-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240256
title: Climate change effects on ecosystem services supply & demand: an updated synthesis — Data

description: <b>Note</b>: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P1VED5SA.<br><br>Climate change is a pervasive and growing global threat to nature’s contributions to people. To inform proactive adaptation actions and research priorities, it is important to periodically synthesize peer-reviewed evidence of observed and projected climate effects on ecosystem services. By systematically reviewing journal articles that were published between 2014 and 2018, we aimed to identify trends and gaps in recent assessments of climate effects on ecosystem service supply, demand, and monetary value. In addition to recording direct climate impacts, we extracted data regarding climate interactions with non-climate drivers, study context (e.g., spatial scale, location, ecosystem) and methodology, characteristics and interactions between services, whether and how uncertainty was assessed, and implications for decision-making. While biased and constrained by excluding articles published in non-English languages and grey literature, this data spreadsheet compiles summary information and relevant literature for managers, decision-makers, researchers, and planners.<br><br>Purpose<br>The compiled data underlie a synthesis of recent and future climate effects on ecosystem service supply, demand, and monetary value. By integrating information from recent publications, the data spreadsheet and associated synthesis update and extend previous literature reviews (particularly, Runting et al., 2017). The data spreadsheet also represents a literature library of climate impacts on ecosystem services, which can be aggregated or disaggregated by study areas and methodologies, ecosystem service features and interactions, climate and non-climate driver interactions, uncertainty assessment approaches, and decision-making implications. Research gaps discerned from the data (e.g., described in the synthesis paper) can inform crucial directions for future studies. In addition to supporting analyses that yield valuable summaries for practitioners (e.g., managers, decision-makers, planners), this literature library can be a source of context-relevant case studies for ensuring continued flows of nature’s benefits to people in an uncertain and changing climate.
DOI: 10.3886/e240256v2
title: Climate change effects on ecosystem services supply & demand: an updated synthesis — Data

description: <b>Note</b>: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P1VED5SA.<br><br>Climate change is a pervasive and growing global threat to nature’s contributions to people. To inform proactive adaptation actions and research priorities, it is important to periodically synthesize peer-reviewed evidence of observed and projected climate effects on ecosystem services. By systematically reviewing journal articles that were published between 2014 and 2018, we aimed to identify trends and gaps in recent assessments of climate effects on ecosystem service supply, demand, and monetary value. In addition to recording direct climate impacts, we extracted data regarding climate interactions with non-climate drivers, study context (e.g., spatial scale, location, ecosystem) and methodology, characteristics and interactions between services, whether and how uncertainty was assessed, and implications for decision-making. While biased and constrained by excluding articles published in non-English languages and grey literature, this data spreadsheet compiles summary information and relevant literature for managers, decision-makers, researchers, and planners.<br><br>Purpose<br>The compiled data underlie a synthesis of recent and future climate effects on ecosystem service supply, demand, and monetary value. By integrating information from recent publications, the data spreadsheet and associated synthesis update and extend previous literature reviews (particularly, Runting et al., 2017). The data spreadsheet also represents a literature library of climate impacts on ecosystem services, which can be aggregated or disaggregated by study areas and methodologies, ecosystem service features and interactions, climate and non-climate driver interactions, uncertainty assessment approaches, and decision-making implications. Research gaps discerned from the data (e.g., described in the synthesis paper) can inform crucial directions for future studies. In addition to supporting analyses that yield valuable summaries for practitioners (e.g., managers, decision-makers, planners), this literature library can be a source of context-relevant case studies for ensuring continued flows of nature’s benefits to people in an uncertain and changing climate.
DOI: 10.15468/dl.txfpey
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austrolebias bellottii",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031877-251025141854904/datasets/export for details.
DOI: 10.17632/h34pcwxd2d
title: Compassion Competence and Associated Factors

description: This dataset includes participants’ sociodemographic characteristics and their responses to scale items measuring compassion competencies. Data were collected using a structured questionnaire.

The main hypothesis of the study is that compassion competencies may differ according to demographic variables such as gender, education level, and years of professional experience. Preliminary analyses indicate that there may be significant differences between certain groups.

The dataset is suitable for researchers interested in group comparisons, relational analyses, or statistical modeling. Variable labels are clear, and the data are organized to allow easy interpretation and reuse.
DOI: 10.17632/h34pcwxd2d.1
title: Compassion Competence and Associated Factors

description: This dataset includes participants’ sociodemographic characteristics and their responses to scale items measuring compassion competencies. Data were collected using a structured questionnaire.

The main hypothesis of the study is that compassion competencies may differ according to demographic variables such as gender, education level, and years of professional experience. Preliminary analyses indicate that there may be significant differences between certain groups.

The dataset is suitable for researchers interested in group comparisons, relational analyses, or statistical modeling. Variable labels are clear, and the data are organized to allow easy interpretation and reuse.
DOI: 10.17632/5xbyns5rpy
title: 人生价值观数据库

description: The influence of family of origin on college students' life values: the mediating role of self-esteem
DOI: 10.7910/dvn/u65mho
title: Replication Data for: The Effect of Women’s Public Leadership on Voter Turnout

description: Replication Data for: The Effect of Women’s Public Leadership on Voter Turnout
DOI: 10.17632/5xbyns5rpy.1
title: 人生价值观数据库

description: The influence of family of origin on college students' life values: the mediating role of self-esteem
DOI: 10.25574/26788
title: Chandra X-ray Observatory ObsId 26788

description: Tidal disruption events unveiled: understanding their long-term accretion with Chandra and HST
DOI: 10.5281/zenodo.4737409
title: The OpenCare semantic social network data

description: Get primary and secondary data from the opencare project.



	
Primary data refer to the online conversation (posts and comments).
	
Secondary data refer to the ethnographic work done on the primary data (annotations and codes, or tags).



You can also access these data through APIs, though you will need to ask for a key. 



	
Learn more on data in opencare
	
APIs documentation is here
description: Regenerated after the Masters of Networks 5 hackathon. Some fields added. datapackage.json updated.
DOI: 10.5281/zenodo.660178
title: The OpenCare semantic social network data

description: Get primary and secondary data from the opencare project.



	
Primary data refer to the online conversation (posts and comments).
	
Secondary data refer to the ethnographic work done on the primary data (annotations and codes, or tags).



You can also access these data through APIs, though you will need to ask for a key. 



	
Learn more on data in opencare
	
APIs documentation is here
description: Regenerated after the Masters of Networks 5 hackathon. Some fields added. datapackage.json updated.
DOI: 10.15468/dl.4mu53f
title: Occurrence Download

description: A dataset containing 5768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.41_1, USA.11_1)",
 "TaxonKey is Cervidae"
 ]
}

 The dataset includes 5768 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031880-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sd5rkzf9tb
title: The influence of family of origin on college students' life values: the mediating role of self-esteem

description: The influence of family of origin on college students' life values: the mediating role of self-esteem
DOI: 10.17632/sd5rkzf9tb.1
title: The influence of family of origin on college students' life values: the mediating role of self-esteem

description: The influence of family of origin on college students' life values: the mediating role of self-esteem
DOI: 10.15468/dl.yqfwns
title: Occurrence Download

description: A dataset containing 34694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Country is one of (Colombia, Venezuela (Bolivarian Republic of), Brazil, Trinidad and Tobago, Guyana, French Guiana, Puerto Rico, Suriname)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eudocimus ruber"
 ]
}

 The dataset includes 34694 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031881-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5cjm5kkjb8
title: Diurnal behavioral and neural rhythms in a solitary ascidian (Chordata, Ascidiacea) Styela plicata

description: Data, code, and statistics describied in the paper: Diurnal behavioral and neural rhythms in a solitary ascidian (Chordata, Ascidiacea) Styela plicata
DOI: 10.17632/5cjm5kkjb8.1
title: Diurnal behavioral and neural rhythms in a solitary ascidian (Chordata, Ascidiacea) Styela plicata

description: Data, code, and statistics describied in the paper: Diurnal behavioral and neural rhythms in a solitary ascidian (Chordata, Ascidiacea) Styela plicata
DOI: 10.17632/yyt6c95gcf
title: MSMO1 promotes chemotherapy resistance through modulation of T-MAS metabolism via PERK/elF2α/ATF4/CHOP pathway

description: Data of the article :MSMO1 promotes chemotherapy resistance through modulation of T-MAS metabolism via PERK/elF2α/ATF4/CHOP pathway
DOI: 10.17632/yyt6c95gcf.2
title: MSMO1 promotes chemotherapy resistance through modulation of T-MAS metabolism via PERK/elF2α/ATF4/CHOP pathway

description: Data of the article :MSMO1 promotes chemotherapy resistance through modulation of T-MAS metabolism via PERK/elF2α/ATF4/CHOP pathway
DOI: 10.17632/2rbsmwbzzv
title: Seasonal variation in the dependence of avian order composition on vegetation characteristics: A case study from Heilongjiang Province, northernmost China

description: Based on the typical vegetation phenology in Heilongjiang Province, this study defined June to September as the growing season and January to March and December as the dormant season. These two phases represent markedly different vegetation conditions, allowing for an investigation of bird responses to seasonal vegetation dynamics. Bird observation data were obtained from the China Bird Report (CBR). To ensure data continuity and accessibility, observations from 2015 to 2023 were used. Each record includes geographic coordinates and bird species information. After excluding records with fewer than three species, a total of 746 bird observation records were retained for analysis. 

To quantify vegetation characteristics surrounding bird observation points, we discretized the study area into hexagonal grids using the H3 index at resolution 7. To quantify vegetation vertical structure and land–water attributes, we used annual land-use maps for 2015–2023, which classify land cover into nine categories: cropland, forest, shrub, grassland, water, snow/ice, barren land, impervious surface, and wetland. For each hexagon, we calculated the proportional cover of “forest” as the Canopy Vegetation variable, the combined cover of “shrub” and “grassland” as the Understory Vegetation variable, and the combined cover of “wetland” and “water” as the Wetland Vegetation variable. These three variables therefore describe the spatial distribution of different vegetation layers and land–water settings, but they do not directly represent vegetation greenness or growth status.

To assess vegetation greenness, we used monthly NDVI data sourced from NASA’s MOD13A3 product. Consistent with the seasonal definition used for the bird data, for each year we averaged NDVI values from June to September to derive mean NDVI for the growing season, and averaged NDVI for January, February, March and December to derive mean NDVI for the dormant season in each hexagon unit. To further characterize vegetation growth status, we used the combined Leaf Area Index (LAI) product derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). Monthly LAI composites were generated on the Google Earth Engine (GEE) platform and then averaged, in the same way as NDVI, to obtain growing-season and dormant-season mean LAI values for each hexagon unit. All vegetation variables were derived in ArcGIS v10.8.
DOI: 10.17632/2rbsmwbzzv.2
title: Seasonal variation in the dependence of avian order composition on vegetation characteristics: A case study from Heilongjiang Province, northernmost China

description: Based on the typical vegetation phenology in Heilongjiang Province, this study defined June to September as the growing season and January to March and December as the dormant season. These two phases represent markedly different vegetation conditions, allowing for an investigation of bird responses to seasonal vegetation dynamics. Bird observation data were obtained from the China Bird Report (CBR). To ensure data continuity and accessibility, observations from 2015 to 2023 were used. Each record includes geographic coordinates and bird species information. After excluding records with fewer than three species, a total of 746 bird observation records were retained for analysis. 

To quantify vegetation characteristics surrounding bird observation points, we discretized the study area into hexagonal grids using the H3 index at resolution 7. To quantify vegetation vertical structure and land–water attributes, we used annual land-use maps for 2015–2023, which classify land cover into nine categories: cropland, forest, shrub, grassland, water, snow/ice, barren land, impervious surface, and wetland. For each hexagon, we calculated the proportional cover of “forest” as the Canopy Vegetation variable, the combined cover of “shrub” and “grassland” as the Understory Vegetation variable, and the combined cover of “wetland” and “water” as the Wetland Vegetation variable. These three variables therefore describe the spatial distribution of different vegetation layers and land–water settings, but they do not directly represent vegetation greenness or growth status.

To assess vegetation greenness, we used monthly NDVI data sourced from NASA’s MOD13A3 product. Consistent with the seasonal definition used for the bird data, for each year we averaged NDVI values from June to September to derive mean NDVI for the growing season, and averaged NDVI for January, February, March and December to derive mean NDVI for the dormant season in each hexagon unit. To further characterize vegetation growth status, we used the combined Leaf Area Index (LAI) product derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). Monthly LAI composites were generated on the Google Earth Engine (GEE) platform and then averaged, in the same way as NDVI, to obtain growing-season and dormant-season mean LAI values for each hexagon unit. All vegetation variables were derived in ArcGIS v10.8.
DOI: 10.17632/vs4pr7nf96
title: Can a Dual Banking System Imbue Financial Stability?

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/vs4pr7nf96.1
title: Can a Dual Banking System Imbue Financial Stability?

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/ng2yns2cj4
title: Assessing Modal Shift Readiness for Sustainable Mobility among Potential Private Mobility Adopters Using Machine Learning and Scenario Simulation

description: Primary data were collected through a structured questionnaire survey in the study area during commute hours (8:30-10:30 a.m. and 6:00-8:00 p.m.) on weekdays, which was electronically delivered (tablets and mobile devices) and collected. This method helped to reduce data entry, transcription errors, and improve data quality. Respondents were selected purposively from residential blocks and workplaces in Sectors I–V to capture diverse socio-economic groups.
DOI: 10.17632/ng2yns2cj4.1
title: Assessing Modal Shift Readiness for Sustainable Mobility among Potential Private Mobility Adopters Using Machine Learning and Scenario Simulation

description: Primary data were collected through a structured questionnaire survey in the study area during commute hours (8:30-10:30 a.m. and 6:00-8:00 p.m.) on weekdays, which was electronically delivered (tablets and mobile devices) and collected. This method helped to reduce data entry, transcription errors, and improve data quality. Respondents were selected purposively from residential blocks and workplaces in Sectors I–V to capture diverse socio-economic groups.
DOI: 10.7910/dvn/bmsjkv
title: Comprehensive Data for: Urinary Complement Proteome Strongly Linked to Diabetic Kidney Disease Progression

description: Comprehensive Data for: Urinary Complement Proteome Strongly Linked to Diabetic Kidney Disease Progression