cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wh5g9hwv5g.1
title: Runoff reconstructions and future projections indicate highly variable water supply from Pacific Rim water towers

description: Anthropogenic climate change affects regional hydrological cycles and poses significant challenges to the sustainable supply of freshwater. The Central China water tower (CCWT) is the key source region feeding the Yangtze and Yellow Rivers, and its runoff is indispensable for the surrounding mega-city clusters. Here we present a reconstruction of CCWT runoff depth back to 1595 CE, based on a new dendrochronological network including 100 tree-ring chronologies and an ensemble averaging approach that combines multiple regression models. Comparison of this reconstruction with similar records from six water tower regions along the Pacific Rim (Mongolian Plateau, Tibetan Plateau, Great Dividing Range, Southern and Northern Rocky Mountains, Andes Mountains) revealed that the CCWT provide the most stable water supply, while the Tibetan Plateau to be most susceptible to extreme runoff events. Twenty-first century projections indicate generally increasing runoff across most Pacific Rim water towers, whereas the Northern Rocky Mountains are projected to decline substantially. We attribute the differences in runoff variability and projected trends across Pacific Rim water towers to their distinct geographies and synoptic climatic conditions. The long-term runoff reconstructions and projected changes highlighted in this study provide insights for adaptive management strategies in China and all other regions relying on supply from mountain water towers.
DOI: 10.17632/4k5yfp4nxd
title: Gut microbiota dysbiosis affects intestinal sensitivity through epithelium-to-neuron signaling: novel insights from a colon organoid-based model to improve visceral pain therapy

description: Supplementary Datasets and Raw Data of the article "Gut microbiota dysbiosis affects intestinal sensitivity through epithelium-to-neuron signaling: novel insights from a colon organoid-based model to improve visceral pain therapy"
DOI: 10.17632/4k5yfp4nxd.1
title: Gut microbiota dysbiosis affects intestinal sensitivity through epithelium-to-neuron signaling: novel insights from a colon organoid-based model to improve visceral pain therapy

description: Supplementary Datasets and Raw Data of the article "Gut microbiota dysbiosis affects intestinal sensitivity through epithelium-to-neuron signaling: novel insights from a colon organoid-based model to improve visceral pain therapy"
DOI: 10.17632/f89dwbx4cj
title: Dataset of Research Study on Livelihood Resilience, Flood Mitigations, and Digitalization in Pakistan

description: This data was collected through in-person interviews with respondents after obtaining informed consent. Participation of respondents was voluntary.
DOI: 10.17632/f89dwbx4cj.1
title: Dataset of Research Study on Livelihood Resilience, Flood Mitigations, and Digitalization in Pakistan

description: This data was collected through in-person interviews with respondents after obtaining informed consent. Participation of respondents was voluntary.
DOI: 10.17632/pgmghhy2gf.1
title: SEDIMENT BUDGET ESTIMATES FOR SHORELINE PROJECTIONS

description: This study examines coastal dynamics along the central-southern coast of Rio Grande do Sul (RS), focusing on the interaction between the sediment budget (SB) and sea-level rise (SLR). Using the RanSTM model, the morphological response of the region to SLR was simulated. Calibration employed SB data estimated at different temporal scales: annual (DRONE surveys), decadal (satellite imagery), and long-term (stratigraphy and geophysics).
DOI: 10.17632/ryw5dbhr5c
title: Seismic events during the creep of the Xishancun landslide, southwestern China: implications for fault deformation

description: Three-component waveform data of the seismic events on the Xishancun landslide.
DOI: 10.17632/ryw5dbhr5c.1
title: Seismic events during the creep of the Xishancun landslide, southwestern China: implications for fault deformation

description: Three-component waveform data of the seismic events on the Xishancun landslide.
DOI: 10.17632/vx4ngpxnnj
title: Empirical Data Package for "Quality Assessment of Software Requirements Using Artificial Intelligence Methods: A Systematic Literature Review"

description: This dataset, referred to as the "Empirical Data Package", contains all systematically extracted data for the following study: E. Wolf, A. Trendowicz, J. Siebert, "Quality Assessment of Software Requirements Using Artificial Intelligence Methods: A Systematic Literature Review".

Research objective:
The study investigates how AI techniques and models are applied to assess and improve the quality of software requirements. It addresses three research questions:
- RQ1: Which AI methods and models are used for automated assessment of requirements quality?
- RQ2: Which quality aspects and associated metrics are considered for assessment?
- RQ3: Which datasets are used to create, evaluate, and adjust requirements quality assessment models?
 
Dataset contents:
- Screening logs, including title-abstract review, snowballing results, and the final set of 26 primary studies.
- Demographic information such as type of contribution and research context (industry vs. academia).
- Quality assessment data per study, including applied criteria and scoring.
- Extracted mappings for each study: AI methods, evaluation metrics, quality aspects, purposes of AI application, RE phases targeted, and datasets used.
- Organized per research question (RQ1–RQ3) in Excel worksheets with grouping and content tabs.
 
Notable findings included in the dataset:
- Requirement quality aspects from multiple sources can largely be mapped to the INVEST framework.
- AI models primarily focus on detecting issues; few provide actionable improvements.
- AI methods rarely cover all INVEST aspects, with some quality criteria neglected.
- The field exhibits heterogeneity in datasets, labeling strategies, and evaluation metrics, highlighting challenges for reproducibility, generalization, and adoption in practice.
- Recent AI approaches, including GenAI models, offer opportunities for explanation and recommendations, but require careful adaptation by RE practitioners.
 
Purpose:
The dataset supports transparency, reproducibility, and further analysis of AI-based methods for software requirements quality assessment and can serve as a foundation for future benchmark datasets and standardized evaluation frameworks.
DOI: 10.17632/vx4ngpxnnj.1
title: Empirical Data Package for "Quality Assessment of Software Requirements Using Artificial Intelligence Methods: A Systematic Literature Review"

description: This dataset, referred to as the "Empirical Data Package", contains all systematically extracted data for the following study: E. Wolf, A. Trendowicz, J. Siebert, "Quality Assessment of Software Requirements Using Artificial Intelligence Methods: A Systematic Literature Review".

Research objective:
The study investigates how AI techniques and models are applied to assess and improve the quality of software requirements. It addresses three research questions:
- RQ1: Which AI methods and models are used for automated assessment of requirements quality?
- RQ2: Which quality aspects and associated metrics are considered for assessment?
- RQ3: Which datasets are used to create, evaluate, and adjust requirements quality assessment models?
 
Dataset contents:
- Screening logs, including title-abstract review, snowballing results, and the final set of 26 primary studies.
- Demographic information such as type of contribution and research context (industry vs. academia).
- Quality assessment data per study, including applied criteria and scoring.
- Extracted mappings for each study: AI methods, evaluation metrics, quality aspects, purposes of AI application, RE phases targeted, and datasets used.
- Organized per research question (RQ1–RQ3) in Excel worksheets with grouping and content tabs.
 
Notable findings included in the dataset:
- Requirement quality aspects from multiple sources can largely be mapped to the INVEST framework.
- AI models primarily focus on detecting issues; few provide actionable improvements.
- AI methods rarely cover all INVEST aspects, with some quality criteria neglected.
- The field exhibits heterogeneity in datasets, labeling strategies, and evaluation metrics, highlighting challenges for reproducibility, generalization, and adoption in practice.
- Recent AI approaches, including GenAI models, offer opportunities for explanation and recommendations, but require careful adaptation by RE practitioners.
 
Purpose:
The dataset supports transparency, reproducibility, and further analysis of AI-based methods for software requirements quality assessment and can serve as a foundation for future benchmark datasets and standardized evaluation frameworks.
DOI: 10.15468/dl.3exd3t
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Machaerium kegelii"
 ]
}

 The dataset includes 119 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033326-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3yh5f86cmv.1
title: Development of living cell D2HG biosensors with a wide detection range inspired by the structure of the D2HG-binding transcription factor DhdR.

description: Excel datasheets for graphs and Uncropped immunoblotting
DOI: 10.5281/zenodo.16929964
title: English interiors 176-192
DOI: 10.5281/zenodo.16929963
title: English interiors 176-192
DOI: 10.17632/dhgv95vfgf.1
title: Classroom Indoor Air Quality Time Series — Bangladesh, 2024 – 2025

description: This dataset contains indoor classroom air-quality measurements collected by a custom sensor node in Bangladesh from 2024-09-25 19:25 to 2025-04-07 20:25 (local time, Asia/Dhaka, UTC+06:00). The system was deployed in a closed, lecture-style university classroom measuring 12.30 m × 6.95 m × 3.10 m with a partial false ceiling at 2.90 m. The room has no operable windows or mechanical ventilation; outside air enters primarily through a 21.4 cm × 46.8 cm louvered grille in the door. A curtain-wall window and a wall-mounted recirculating AC unit are present; the AC was used intermittently. This minimally ventilated setting enables clear observation of CO₂ accumulation and particulate dynamics during occupancy.

The logger was configured for a 5-minute sampling interval. The dataset contains 52,259 records, representing 93.51% of the theoretical 5-minute schedule over the collection window. Deviations from 5 minutes occur only in multiples of 5 (missed cycles); several multi-hour gaps are present (e.g., 2025-03-22 03:30 → 2025-03-23 22:40, ~43.2 h), consistent with temporary power or network interruptions rather than a change in sampling rate.

Variables (units): Timestamp (local, Asia/Dhaka, UTC+06:00); CO2 (ppm); pm1, pm2_5, pm10 (µg/m³); air_temperature (°C); humidity (%); air_pressure (Pa); deviceId; payload_id. 
A machine-readable data dictionary "MendeleyData_data_dictionary.csv" is provided.

Instrumentation & calibration: The node integrates MH-Z19B (CO₂, NDIR), PMS5003 (PM), and SHT35 (temperature/humidity), plus a barometric sensor. Calibration and QA follow Section 3.4 of the IUB repository: (i) CO₂: manual “fresh-air” baseline alignment (~400 ppm) prior to deployment; (ii) PM: ≥30 s warm-up and HEPA-filtered zero check; (iii) T/RH: factory-calibrated with subset cross-check (≈±0.2 °C, ±2% RH), no additional adjustment; (iv) External validation: co-located comparisons with IQAir AirVisual Pro for PM₂.₅, CO₂, and temperature.

Processing & quality control: Minimal, transparent preparation: (1) sorted by Timestamp; (2) checked duplicates on (Timestamp, deviceId)—none detected; (3) no resampling, smoothing, or gap-filling. Descriptive anomaly screens were run and values were retained so users can choose thresholds (physical-bounds flags and occasional “stuck-value” runs: consecutive identical readings ≥30 samples in CO₂/PM streams).

Time standard. Timestamps are local Asia/Dhaka (UTC+06:00).

Intended use & limitations: Suitable for analyses of indoor ventilation, occupancy proxies (CO₂), episodic PM behavior, diurnal patterns, and time-series modeling. The dataset reflects one classroom and is not by itself spatially representative. Humidity can influence low-level PM; interpret PM₂.₅ &lt; 50 µg/m³ with standard caution. Location is coarsened to protect privacy.

Further documentation: Classroom characteristics (Section 2.2) and sensor calibration & QA (Section 3.4) are detailed in the IUB repository: https://ar.iub.edu.bd/handle/11348/992
DOI: 10.17632/29rnjfs3bg
title: In Situ Composite Polymer Electrolytes for 720 Wh kg⁻¹ and safe Li-air Batteries

description: The data of the article's images
DOI: 10.17632/29rnjfs3bg.1
title: In Situ Composite Polymer Electrolytes for 720 Wh kg⁻¹ and safe Li-air Batteries

description: The data of the article's images
DOI: 10.17632/snbhxc3rmj
title: OA publications in Vietnamese E&T Universities

description: This study analyzes trends, research domains, and emerging themes in open access publishing at Vietnamese universities specializing in engineering and technology. Based on a bibliometric analysis of Scopus-indexed publications from 2013 to 2023, the study aims to identify key characteristics of open access publishing and its role in enhancing research dissemination and collaboration in Vietnam. The findings indicate a sharp increase in the number of open access publications after 2018. The three most prominent subject areas are Engineering, Computer Science and Agricultural-Biological Science. The research topics covered in open access publications are diverse, including climate change, biodiversity, sustainable development in Vietnam, machine learning, deep learning, materials science, biomedical engineering, ect. The analysis is limited to English-language publications indexed in Scopus. Nevertheless, the results offer a clear and valuable overview of the current state of open access publishing within Vietnam's engineering and technology universities. They also suggest pathways for improving research accessibility, increasing visibility, and strengthening international collaboration through open access strategies.
DOI: 10.17632/snbhxc3rmj.1
title: OA publications in Vietnamese E&T Universities

description: This study analyzes trends, research domains, and emerging themes in open access publishing at Vietnamese universities specializing in engineering and technology. Based on a bibliometric analysis of Scopus-indexed publications from 2013 to 2023, the study aims to identify key characteristics of open access publishing and its role in enhancing research dissemination and collaboration in Vietnam. The findings indicate a sharp increase in the number of open access publications after 2018. The three most prominent subject areas are Engineering, Computer Science and Agricultural-Biological Science. The research topics covered in open access publications are diverse, including climate change, biodiversity, sustainable development in Vietnam, machine learning, deep learning, materials science, biomedical engineering, ect. The analysis is limited to English-language publications indexed in Scopus. Nevertheless, the results offer a clear and valuable overview of the current state of open access publishing within Vietnam's engineering and technology universities. They also suggest pathways for improving research accessibility, increasing visibility, and strengthening international collaboration through open access strategies.
DOI: 10.17632/tzvttww89z
title: Persistence of Wild Cycles of Trypanosoma cruzi in Attalea butyracea Palms Infested by Rhodnius in a Region Certified as Free of Domiciliary Vector-Borne Transmission in Colombia.

description: Infestación de Attalea butyracea con vectores de la enfermedad de Chagas e infección natural con Trypanpsoma spp. en el municipio de El Zulia, Norte de Santander, Colombia
DOI: 10.17632/tzvttww89z.2
title: Persistence of Wild Cycles of Trypanosoma cruzi in Attalea butyracea Palms Infested by Rhodnius in a Region Certified as Free of Domiciliary Vector-Borne Transmission in Colombia.

description: Infestación de Attalea butyracea con vectores de la enfermedad de Chagas e infección natural con Trypanpsoma spp. en el municipio de El Zulia, Norte de Santander, Colombia
DOI: 10.17632/yftpgdn2xk
title: Earthquake_dynamic_code_v3

description: This earthquake dynamic rupture code produces results in Hung et al. The governing equations is referred to Hirakawa & Ma (2016), JGR. Please see readme file in the folder (2025_NEW) for details. 
Mesh file (mesh2025.msh) should be decompressed before running the code (~2.29GB).

Anyone uses this code is highly recommended to cite the paper that publishes this dataset.
DOI: 10.17632/yftpgdn2xk.1
title: Earthquake_dynamic_code_v3

description: This earthquake dynamic rupture code produces results in Hung et al. The governing equations is referred to Hirakawa & Ma (2016), JGR. Please see readme file in the folder (2025_NEW) for details. 
Mesh file (mesh2025.msh) should be decompressed before running the code (~2.29GB).

Anyone uses this code is highly recommended to cite the paper that publishes this dataset.
DOI: 10.17632/4rz92fdbcz.1
title: How Valuable is Corporate Adaptation to Crisis? Estimates from Covid-19 Work-from-Home Announcements

description: This package includes the code and (publicly available) data used in the article How Valuable is Corporate Adaptation to Crisis? Estimates from Covid-19 Work-from-Home Announcements. Please read the included instructions.
DOI: 10.17632/rj3k6s44rc
title: Dataset CNS scores (guided/unguided/control, Santiago, Chile).

description: This dataset contains anonymized responses from university students who participated in an experimental study on nature immersion practices in urban green spaces in Santiago, Chile. It includes scores from the Connectedness to Nature Scale (CNS), measured across three treatment groups and three time points to evaluate the role of guided facilitation in enhancing connection with nature.

Dataset structure: 

Treatment: group of the participant, coded as:
CG = Guided immersion (with facilitator)
SG = Unguided immersion (without facilitator)
C = Control (no immersion practice)
CNS_score: Participant’s score on the Connectedness to Nature Scale.

Time: measurement point, coded as:
T1 = Baseline (before intervention)
T2 = Post-intervention (after the immersion period)
T3 = Follow-up (retention period)

Repetition: Internal participant code (anonymized identifier)

In addition, an R script is included, which contains the code used to organize, clean, and analyze the dataset.

Notes: 
No personally identifiable information is included.
Data are presented in CSV format (UTF-8).

Ethics
The study was approved by the Ethics and Safety Committee of the Pontificia Universidad Católica de Chile. All participants gave informed consent, and the dataset has been fully anonymized.
DOI: 10.17632/rj3k6s44rc.1
title: Dataset CNS scores (guided/unguided/control, Santiago, Chile).

description: This dataset contains anonymized responses from university students who participated in an experimental study on nature immersion practices in urban green spaces in Santiago, Chile. It includes scores from the Connectedness to Nature Scale (CNS), measured across three treatment groups and three time points to evaluate the role of guided facilitation in enhancing connection with nature.

Dataset structure: 

Treatment: group of the participant, coded as:
CG = Guided immersion (with facilitator)
SG = Unguided immersion (without facilitator)
C = Control (no immersion practice)
CNS_score: Participant’s score on the Connectedness to Nature Scale.

Time: measurement point, coded as:
T1 = Baseline (before intervention)
T2 = Post-intervention (after the immersion period)
T3 = Follow-up (retention period)

Repetition: Internal participant code (anonymized identifier)

In addition, an R script is included, which contains the code used to organize, clean, and analyze the dataset.

Notes: 
No personally identifiable information is included.
Data are presented in CSV format (UTF-8).

Ethics
The study was approved by the Ethics and Safety Committee of the Pontificia Universidad Católica de Chile. All participants gave informed consent, and the dataset has been fully anonymized.
DOI: 10.15468/dl.43n48r
title: Occurrence Download

description: A dataset containing 5532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-51.90223 -1.17731,-52.4636 -0.55507,-52.8897 0.24978,-53.39696 1.25754,-54.91198 2.58994,-55.45305 2.56965,-55.83181 2.42086,-55.95355 2.34646,-55.48687 1.27783,-54.797 0.39858,-54.58733 -0.52802,-54.42501 -1.44785,-54.32355 -2.20536,-54.18152 -2.15125,-53.76218 -1.96864,-52.99115 -1.6981,-51.95634 -1.41403,-51.90223 -1.17731))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 5532 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033327-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8j68u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033328-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2njqu
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033329-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zw6h8n5pyg
title: Supplementary Material - The relative abundances for all genera in feces of both treatment groups (silage vs. hay) (JDS)

description: This data file contains supplementary material to the article "Grass forages grown under identical conditions and conserved as silage or barn-dried hay: effects on feed intake, performance, apparent total tract digestibility, and fecal microbiota in dairy cows" (Bauer, K., Hartinger, T., Eghbali, M., Haselmann, A., Fuerst-Waltl, B., Zollitsch, W., Zebeli, Q., Knaus, W.) published in the Journal of Dairy Science.
DOI: 10.17632/zw6h8n5pyg.1
title: Supplementary Material - The relative abundances for all genera in feces of both treatment groups (silage vs. hay) (JDS)

description: This data file contains supplementary material to the article "Grass forages grown under identical conditions and conserved as silage or barn-dried hay: effects on feed intake, performance, apparent total tract digestibility, and fecal microbiota in dairy cows" (Bauer, K., Hartinger, T., Eghbali, M., Haselmann, A., Fuerst-Waltl, B., Zollitsch, W., Zebeli, Q., Knaus, W.) published in the Journal of Dairy Science.