cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29467202.v4
title: Lake CO<sub>2</sub> emission data in China

description: We compiled a comprehensive nationwide dataset of lake CO₂ fluxes across China, including lakes, reservoirs, and ponds. The dataset integrated both daily and monthly measurements of lake FCO<sub>2</sub> from previous literatures. A total of 1,542 records from 232 lakes across China were collected, providing broad spatial coverage. By combining these FCO<sub>2</sub> measurements with watershed-scale environmental and socio-economic variables, we developed a random forest model to estimate lake FCO<sub>2</sub> at daily scale. We subsequently integrated temporal lake area data with modeled FCO<sub>2</sub> to explore how changes in lake area could alter carbon budgets and assess national-scale responses of FCO<sub>2</sub> to climate extremes.
DOI: 10.6084/m9.figshare.29467202.v5
title: CO<sub>2</sub> emissions in China's lake

description: We compiled a comprehensive nationwide dataset of lake CO₂ fluxes across China, including lakes, reservoirs, and ponds. The dataset integrated both daily and monthly measurements of lake FCO<sub>2</sub> from previous literatures. A total of 1,588 records from 232 lakes across China were collected, providing broad spatial coverage. By combining these FCO<sub>2</sub> measurements with watershed-scale environmental and socio-economic variables, we developed a random forest model to estimate lake FCO<sub>2</sub> at national scale. We subsequently integrated temporal lake area data with modeled FCO<sub>2</sub> to explore how changes in lake area could alter carbon budgets and assess national-scale responses of FCO<sub>2</sub> to climate extremes.
DOI: 10.17632/4ty3m5jf65
title: Supplementary Tables-Xiaodong Chen

description: These data comprise: (1) major element compositions measured by EPMA and (2) trace element concentrations obtained by LA-ICP-MS for different apatite and spodumene generations, as well as (3) semi-quantitative ⁷Li/⁶Li ratios of two spodumene generations analyzed by tof-SIMS.
DOI: 10.17632/4ty3m5jf65.1
title: Supplementary Tables-Xiaodong Chen

description: These data comprise: (1) major element compositions measured by EPMA and (2) trace element concentrations obtained by LA-ICP-MS for different apatite and spodumene generations, as well as (3) semi-quantitative ⁷Li/⁶Li ratios of two spodumene generations analyzed by tof-SIMS.
DOI: 10.48657/x7zs-xa97
title: Changes in Research Ethics, Openness, and Transparency in Empirical Studies between CHI 2017 and CHI 2022
DOI: 10.17632/zzy8v7ggkz
title: Job Skill Requirements from IT Job Advertisements – Indonesian IT Sector (2025)

description: This dataset contains job skill descriptions and requirements extracted from IT job advertisements in Indonesia. Each entry represents a skill, responsibility, or competency expected in IT-related job roles, covering areas such as software development (frontend and backend), database management, API design, DevOps practices, application maintenance, UI/UX collaboration, infrastructure and cloud deployment, quality assurance, troubleshooting, technical support, networking, system administration, and various technology stacks (e.g., Laravel, React, Docker, AWS, Golang, Python, SQL/NoSQL).

The dataset is useful for analyzing industry skill demands, mapping academic curricula to job market requirements, identifying trends in IT competencies, and supporting research in education-to-employment alignment.
DOI: 10.17632/zzy8v7ggkz.1
title: Job Skill Requirements from IT Job Advertisements – Indonesian IT Sector (2025)

description: This dataset contains job skill descriptions and requirements extracted from IT job advertisements in Indonesia. Each entry represents a skill, responsibility, or competency expected in IT-related job roles, covering areas such as software development (frontend and backend), database management, API design, DevOps practices, application maintenance, UI/UX collaboration, infrastructure and cloud deployment, quality assurance, troubleshooting, technical support, networking, system administration, and various technology stacks (e.g., Laravel, React, Docker, AWS, Golang, Python, SQL/NoSQL).

The dataset is useful for analyzing industry skill demands, mapping academic curricula to job market requirements, identifying trends in IT competencies, and supporting research in education-to-employment alignment.
DOI: 10.17632/dkrrdjs262
title: Curriculum Competency Mapping for Indonesian IT Programs – Course Learning Outcomes and Skill Statements (2025)

description: This dataset contains course learning outcomes and competency statements collected from Indonesian Information Technology (IT) bachelor’s degree programs. Each entry represents a specific learning objective, skill outcome, or competency expectation associated with the IT curriculum. The data were compiled to support research on bilingual skill mapping and alignment between university curricula and job market demands.

Variables include the text of each competency statement or learning outcome. These statements cover a wide range of IT domains such as web development, database systems, networking, programming languages, digital media production, business and entrepreneurship topics relevant to IT, system analysis and design, network and security, and emerging computing topics.

This dataset is intended to be used for curriculum analysis, text mining, skill mapping studies, and educational alignment research.
DOI: 10.17632/dkrrdjs262.1
title: Curriculum Competency Mapping for Indonesian IT Programs – Course Learning Outcomes and Skill Statements (2025)

description: This dataset contains course learning outcomes and competency statements collected from Indonesian Information Technology (IT) bachelor’s degree programs. Each entry represents a specific learning objective, skill outcome, or competency expectation associated with the IT curriculum. The data were compiled to support research on bilingual skill mapping and alignment between university curricula and job market demands.

Variables include the text of each competency statement or learning outcome. These statements cover a wide range of IT domains such as web development, database systems, networking, programming languages, digital media production, business and entrepreneurship topics relevant to IT, system analysis and design, network and security, and emerging computing topics.

This dataset is intended to be used for curriculum analysis, text mining, skill mapping studies, and educational alignment research.
DOI: 10.17632/jhtfbrwdxt
title: Preparation of cobalt based organic metal framework ZIF-67 catalyst for activating PMS and its catalytic system for rapid degradation of various high concentration dyes

description: Preparation of cobalt based organic metal framework ZIF-67 catalyst for activating PMS and its catalytic system for rapid degradation of various high concentration dyes
DOI: 10.17632/jhtfbrwdxt.1
title: Preparation of cobalt based organic metal framework ZIF-67 catalyst for activating PMS and its catalytic system for rapid degradation of various high concentration dyes

description: Preparation of cobalt based organic metal framework ZIF-67 catalyst for activating PMS and its catalytic system for rapid degradation of various high concentration dyes
DOI: 10.17632/4nnvnd27sy
title: Surgical management of green nail syndrome

description: Supplemental data for Surgical management of green nail syndrome
DOI: 10.17632/4nnvnd27sy.1
title: Surgical management of green nail syndrome

description: Supplemental data for Surgical management of green nail syndrome
DOI: 10.17632/mykwv7jvv8
title: No-tillage with green manure mulching enhances soil organic carbon stocks by strengthening macroaggregate-associated carbon and stimulating the cbbM functional gene in an arid oasis landscape

description: In arid agricultural landscapes, inappropriate tillage exacerbates the risk of soil organic carbon (SOC) loss and landscape degradation. Green manure (GM) incorporation is a beneficial practice, but the mechanisms by which different incorporation methods enhance soil organic carbon stocks (SOCS) by coordinating soil physical structure formation and microbial function remain unclear. This study aims to reveal the synergistic mechanism through which different incorporation methods enhances SOCS by coupling the physical protection of aggregates with microbial carbon fixation function. A three-year field experiment study was conducted in northwestern China's arid oasis agricultural zone, evaluating five management practices: (i) conventional tillage practices without GM cultivation during the fallow period (CT), (ii) no-tillage with GM mulching (NTG), (iii) no-tillage practice with aboveground biomass removal (NT), (iv) full incorporation of GM through tillage (TG), and (v) partial GM removal with only root residues incorporated via tillage (T). All GM incorporation practices significantly increased SOCS, with NTG showing the most pronounced effect. NTG promotes the &gt;5 mm aggregates proportion, aggregate stability, and aggregate SOC content. Notably, &gt;5 mm aggregates SOC content is significantly higher than in other particle sizes, and these aggregates contribute the most to SOCS. From a molecular perspective, SOCS is significantly positively correlated with the cbbM gene. NTG reduces the diversity of the carbon sequestration key functional gene cbbM but increases its abundance. Therefore, NTG synergistically enhanced soil carbon sequestration by promoting the formation and physical protection of macroaggregates and specifically enriching microbial functional genes with carbon fixation potential in the arid oasis agricultural landscape.
DOI: 10.17632/mykwv7jvv8.1
title: No-tillage with green manure mulching enhances soil organic carbon stocks by strengthening macroaggregate-associated carbon and stimulating the cbbM functional gene in an arid oasis landscape

description: In arid agricultural landscapes, inappropriate tillage exacerbates the risk of soil organic carbon (SOC) loss and landscape degradation. Green manure (GM) incorporation is a beneficial practice, but the mechanisms by which different incorporation methods enhance soil organic carbon stocks (SOCS) by coordinating soil physical structure formation and microbial function remain unclear. This study aims to reveal the synergistic mechanism through which different incorporation methods enhances SOCS by coupling the physical protection of aggregates with microbial carbon fixation function. A three-year field experiment study was conducted in northwestern China's arid oasis agricultural zone, evaluating five management practices: (i) conventional tillage practices without GM cultivation during the fallow period (CT), (ii) no-tillage with GM mulching (NTG), (iii) no-tillage practice with aboveground biomass removal (NT), (iv) full incorporation of GM through tillage (TG), and (v) partial GM removal with only root residues incorporated via tillage (T). All GM incorporation practices significantly increased SOCS, with NTG showing the most pronounced effect. NTG promotes the &gt;5 mm aggregates proportion, aggregate stability, and aggregate SOC content. Notably, &gt;5 mm aggregates SOC content is significantly higher than in other particle sizes, and these aggregates contribute the most to SOCS. From a molecular perspective, SOCS is significantly positively correlated with the cbbM gene. NTG reduces the diversity of the carbon sequestration key functional gene cbbM but increases its abundance. Therefore, NTG synergistically enhanced soil carbon sequestration by promoting the formation and physical protection of macroaggregates and specifically enriching microbial functional genes with carbon fixation potential in the arid oasis agricultural landscape.
DOI: 10.48688/904d-kq55
title: COVID 19 clinical data from the Sechenov University.
title: IDDO_CVMEWUS

description: Clinical data from patients hospitalised with COVID19 from the Sechenov University, shared as a part of the ISARIC Clinical Characterisation Group collaboration.
DOI: 10.48657/9hx7-ck39
title: Photos
DOI: 10.5281/zenodo.10927853
title: Mismatch between strong nest-site selection and low survival of nests and broods for Scolopax minor (American Woodcock) and its implications for conservation

description: Code and data for the paper entitled "Mismatch between strong nest site selection and low survival of nests and broods for Scolpax minor (American woodcock) and its implications for conservation" published in Ornitholgical Applications (2025). R code for landscape nest site selection is called landscape_nest_selectionornapplications.R and data is called usedand5000availpoints.csv. R Code for local nest site selection is called local_nest_selectionornapplications.R and data is called 2021_2022_nestdataveragedwithuse.csv. R code for nest survival is called nestsurvivalornapplications.R and data is called nestencounterwweather.csv and nestencounterhistoryweatherhabitat.csv. R code for brood survival is called broodsurvivalornapplications.R and data is called broodencounterhistoryweather.csv. All datasets are within the zipped folder called Nest Site Selection and Survival Analyses.zip
DOI: 10.5281/zenodo.10927854
title: Mismatch between strong nest-site selection and low survival of nests and broods for Scolopax minor (American Woodcock) and its implications for conservation

description: Code and data for the paper entitled "Mismatch between strong nest site selection and low survival of nests and broods for Scolpax minor (American woodcock) and its implications for conservation" published in Ornitholgical Applications (2025). R code for landscape nest site selection is called landscape_nest_selectionornapplications.R and data is called usedand5000availpoints.csv. R Code for local nest site selection is called local_nest_selectionornapplications.R and data is called 2021_2022_nestdataveragedwithuse.csv. R code for nest survival is called nestsurvivalornapplications.R and data is called nestencounterwweather.csv and nestencounterhistoryweatherhabitat.csv. R code for brood survival is called broodsurvivalornapplications.R and data is called broodencounterhistoryweather.csv. All datasets are within the zipped folder called Nest Site Selection and Survival Analyses.zip
DOI: 10.17632/g5p3f9n4g4
title: Obesity is associated with hair-shaft miniaturization: A Cross-Sectional Analysis

description: This dataset contains the supplemental material for the manuscript “Obesity is associated with hair-shaft miniaturization: A Cross-Sectional Analysis.”
It includes the following items:
Table S1: Baseline characteristics comparing obesity classes.
Table S2: Univariable and multivariable logistic regression analyses of factors associated with vellus hair percentage.
Figure S1–S2: Representative trichoscopic images of mid-parietal scalp findings across different BMI levels.
Figure S3: Scatterplots illustrating associations between BMI and scalp hair morphometrics.
These supplemental data provide additional detail supporting the statistical analyses and imaging findings reported in the main manuscript.
DOI: 10.17632/g5p3f9n4g4.1
title: Obesity is associated with hair-shaft miniaturization: A Cross-Sectional Analysis

description: This dataset contains the supplemental material for the manuscript “Obesity is associated with hair-shaft miniaturization: A Cross-Sectional Analysis.”
It includes the following items:
Table S1: Baseline characteristics comparing obesity classes.
Table S2: Univariable and multivariable logistic regression analyses of factors associated with vellus hair percentage.
Figure S1–S2: Representative trichoscopic images of mid-parietal scalp findings across different BMI levels.
Figure S3: Scatterplots illustrating associations between BMI and scalp hair morphometrics.
These supplemental data provide additional detail supporting the statistical analyses and imaging findings reported in the main manuscript.
DOI: 10.17632/jjm9nwckzb
title: NS WWTP Fullscale Struvite Crystallizer Operations Data

description: This dataset was first published in https://doi.org/10.1016/j.watres.2025.125122 and used to train machine learning models for prediction of a full scale struvite crystallizer with more than 5 years (2018 - 2023) of operations data. The models developed from this dataset predict P removal from solution (Conversion) and the fraction of P recovered as struvite (Yield). The raw datasets as well as the processed and engineered feature inclusive datasets are attached.
DOI: 10.17632/jjm9nwckzb.1
title: NS WWTP Fullscale Struvite Crystallizer Operations Data

description: This dataset was first published in https://doi.org/10.1016/j.watres.2025.125122 and used to train machine learning models for prediction of a full scale struvite crystallizer with more than 5 years (2018 - 2023) of operations data. The models developed from this dataset predict P removal from solution (Conversion) and the fraction of P recovered as struvite (Yield). The raw datasets as well as the processed and engineered feature inclusive datasets are attached.
DOI: 10.17632/mfy9ntjy7p
title: Promset: An annoted dataset for translating natural language to PromQl

description: PromSet is an annotated dataset designed to support natural language processing (NLP) research for system monitoring. It is particularly suited to applications involving the training and evaluation of large language models to translate queries expressed in natural language into their equivalent in PromQL, the query language used by the Prometheus monitoring tool.

An initial dataset was constructed from the results of our experiments on Prometheus, during which we created a set of queries and their natural language descriptions. We then added additional data by collecting PromQL queries and their descriptions from various web sources. This raw data was curated, reviewed, corrected, and enriched with Gemini, resulting in a high-quality dataset suitable for research and development.

The dataset contains a total of 4,350 manually curated pairs, each linking an English description to a corresponding PromQL expression. It is provided in CSV format, with two fields: description (a human-readable query) and promql (its equivalent in PromQL syntax). Each record represents a concrete and practical monitoring scenario, such as metric aggregation, label filtering, or time-based calculations. In many cases, a single PromQL query is associated with multiple English-language descriptions, increasing linguistic variation and enabling more robust model training.

By bridging the gap between human-readable instructions and machine-interpretable PromQL syntax, Promset enables the development of intelligent systems capable of automatically understanding and generating monitoring queries. This facilitates the creation of more intuitive observability tools, streamlines DevOps workflows, and opens new avenues in research on natural language-to-code translation.
DOI: 10.17632/mfy9ntjy7p.2
title: Promset: An annoted dataset for translating natural language to PromQl

description: PromSet is an annotated dataset designed to support natural language processing (NLP) research for system monitoring. It is particularly suited to applications involving the training and evaluation of large language models to translate queries expressed in natural language into their equivalent in PromQL, the query language used by the Prometheus monitoring tool.

An initial dataset was constructed from the results of our experiments on Prometheus, during which we created a set of queries and their natural language descriptions. We then added additional data by collecting PromQL queries and their descriptions from various web sources. This raw data was curated, reviewed, corrected, and enriched with Gemini, resulting in a high-quality dataset suitable for research and development.

The dataset contains a total of 4,350 manually curated pairs, each linking an English description to a corresponding PromQL expression. It is provided in CSV format, with two fields: description (a human-readable query) and promql (its equivalent in PromQL syntax). Each record represents a concrete and practical monitoring scenario, such as metric aggregation, label filtering, or time-based calculations. In many cases, a single PromQL query is associated with multiple English-language descriptions, increasing linguistic variation and enabling more robust model training.

By bridging the gap between human-readable instructions and machine-interpretable PromQL syntax, Promset enables the development of intelligent systems capable of automatically understanding and generating monitoring queries. This facilitates the creation of more intuitive observability tools, streamlines DevOps workflows, and opens new avenues in research on natural language-to-code translation.
DOI: 10.17632/9crbd65t2t
title: research data

description: The table data includes the number of hidden layer nodes, Fengweimeigui quality data, Weidi quality data, correlation data,Coefficient of variation and raw spectral data .
DOI: 10.17632/9crbd65t2t.2
title: research data

description: The table data includes the number of hidden layer nodes, Fengweimeigui quality data, Weidi quality data, correlation data,Coefficient of variation and raw spectral data .
DOI: 10.15468/dl.t7hwpa
title: Occurrence Download

description: A dataset containing 15305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-105.60487 40.29583,-105.59582 40.02662,-105.45274 40.02436,-105.45613 40.29243,-105.60487 40.29583)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 15305 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049702-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xbt5w5rw5h
title: Fish Diversity Data in the Community-Managed Spawning Sites in Lakes Chilwa and Chiuta

description: The data was collected with communities around Lakes Chilwa and Chiuta in the Southern part of Malawi. The data collection involved taking length and weight measurement of the sampled fish species around selected potential fish spawning sites. These sites were identified by the communities and search team from the Malawi Government.
DOI: 10.17632/xbt5w5rw5h.1
title: Fish Diversity Data in the Community-Managed Spawning Sites in Lakes Chilwa and Chiuta

description: The data was collected with communities around Lakes Chilwa and Chiuta in the Southern part of Malawi. The data collection involved taking length and weight measurement of the sampled fish species around selected potential fish spawning sites. These sites were identified by the communities and search team from the Malawi Government.
DOI: 10.17026/ar/wvm8eg
title: PAN-00146332 - terra sigillata plate type Drag. 18/31 and 31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00146332&lt;/p&gt;
description: Modified: 2025-09-02T15:44:07+02:00