cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wrsg7t85b7
title: Dataset Supporting the t/Q-Based Evaluation of Ventilation Performance in a Hospital Isolation Room

description: This study tests the hypothesis that airborne microbial concentration in a hospital isolation room is better explained by the exposure normalized ventilation metric (t/Q ratio) and local airflow velocity fields than by air change rate (ACH) alone. Specifically, we hypothesize that lower t/Q values and higher local airflow velocities correspond to reduced microbial loads.

The isolation room geometry.csv file contains measurements of room dimensions, ventilation layout, air velocities, and pressure differentials. These values represent both the boundary conditions and validation points for the CFD model.
The microbial data.csv file contains colony forming unit (CFU/m³) counts obtained from settle plate sampling at the same spatial coordinates used for airflow measurements. The dataset includes t/Q calculations and allows correlation between microbial load, local velocity, and ventilation performance.

The data show that sampling points with low t/Q values consistently have lower microbial loads, supporting the hypothesized inverse relationship. In contrast, areas with very low airflow velocities (&lt;0.025 m/s) show elevated CFU levels even when the overall room ventilation meets or exceeds 18 ACH. This indicates that aggregate ACH can mask localized ventilation inefficiencies.

The geometry and ventilation dataset should be used to understand airflow distribution and identify regions of stagnant air. The microbial dataset enables direct comparison of CFD predicted airflow behaviour with real microbial deposition. Researchers can use these files to reproduce the CFD model, evaluate t/Q ratios, or compare alternative ventilation configurations. Together, the datasets provide a basis for analysing how local airflow patterns influence airborne contamination risk in isolation room environments.
DOI: 10.17632/wrsg7t85b7.1
title: Dataset Supporting the t/Q-Based Evaluation of Ventilation Performance in a Hospital Isolation Room

description: This study tests the hypothesis that airborne microbial concentration in a hospital isolation room is better explained by the exposure normalized ventilation metric (t/Q ratio) and local airflow velocity fields than by air change rate (ACH) alone. Specifically, we hypothesize that lower t/Q values and higher local airflow velocities correspond to reduced microbial loads.

The isolation room geometry.csv file contains measurements of room dimensions, ventilation layout, air velocities, and pressure differentials. These values represent both the boundary conditions and validation points for the CFD model.
The microbial data.csv file contains colony forming unit (CFU/m³) counts obtained from settle plate sampling at the same spatial coordinates used for airflow measurements. The dataset includes t/Q calculations and allows correlation between microbial load, local velocity, and ventilation performance.

The data show that sampling points with low t/Q values consistently have lower microbial loads, supporting the hypothesized inverse relationship. In contrast, areas with very low airflow velocities (&lt;0.025 m/s) show elevated CFU levels even when the overall room ventilation meets or exceeds 18 ACH. This indicates that aggregate ACH can mask localized ventilation inefficiencies.

The geometry and ventilation dataset should be used to understand airflow distribution and identify regions of stagnant air. The microbial dataset enables direct comparison of CFD predicted airflow behaviour with real microbial deposition. Researchers can use these files to reproduce the CFD model, evaluate t/Q ratios, or compare alternative ventilation configurations. Together, the datasets provide a basis for analysing how local airflow patterns influence airborne contamination risk in isolation room environments.
DOI: 10.17632/mwwbc7cgy8.1
title: Data for An Intelligent Q&A System for Geological Hazard Prevention Integrating Knowledge Graphs and Large Language Models

description: This is the dataset associated with the paper titled "An Intelligent Q&A System for Geological Hazard Prevention Integrating Knowledge Graphs and Large Language Models" . The paper is currently under peer review for potential publication in the journal "Engineering Geology." The dataset comprises the raw texts for knowledge graph construction in the geological hazard prevention domain, entity-relation extraction datasets, question-answer pair datasets, and web pages for knowledge graph visualization.The source files can be obtained by contacting the author at zhao_yh@tongji.edu.cn. The dataset will be updated following the formal publication of the paper, and the latest version in the repository should be considered the most accurate and complete.
DOI: 10.17632/6hcxz4m77t
title: porous dataset

description: This dataset consists of core media data generated from experiments.
DOI: 10.17632/6hcxz4m77t.1
title: porous dataset

description: This dataset consists of core media data generated from experiments.
DOI: 10.17632/xg72rrwxp3
title: Anthropomorphic Robot in Luxury Service

description: The analysis of this dataset indicates that, compared to non-anthropomorphic robots, anthropomorphic robots are more effective at enhancing consumers' perceived status, service evaluation, and willingness to pay a premium in luxury service settings (data_study1). This effect occurs because anthropomorphic robots elicit a higher level of social presence, which in turn strengthens consumers' perception of status (data_study2), with vanity moderating this mediated relationship (data_study3).
DOI: 10.5285/a566fc20-a371-42a2-8530-9a3cade09261
title: Morphological data from wild and lab-reared threespine sticklebacks from Icelandic geothermal and ambient sites

description: The data contain measurements of the morphological shape of threespine stickleback from wild, F1 (filial generation 1) lab-reared, and F2-lab (filial generation 2) reared individuals. These last two groups were bred and reared from eggs in the lab. The files are in tps format and so within these contain the information regarding the population, rearing temperature, and scale factor for each specimen. The populations used are coded in a short form format but we also provide a key to decipher these names in csv format. Photos are also made available with corresponding tps files for F2 hybrid fish.
description: Data are derived from wild-caught fish and their F1 and F2 lineages. The wild fish were photographed and landmarks were collected manually using the software tpsDig2. The tps format is open, and is standard within morphometrics and used within a number of packages. 
All landmarks have been checked for consistency across samples.
DOI: 10.17632/xg72rrwxp3.1
title: Anthropomorphic Robot in Luxury Service

description: The analysis of this dataset indicates that, compared to non-anthropomorphic robots, anthropomorphic robots are more effective at enhancing consumers' perceived status, service evaluation, and willingness to pay a premium in luxury service settings (data_study1). This effect occurs because anthropomorphic robots elicit a higher level of social presence, which in turn strengthens consumers' perception of status (data_study2), with vanity moderating this mediated relationship (data_study3).
DOI: 10.15468/dl.m3rchy
title: Occurrence Download

description: A dataset containing 1508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Cyatheaceae"
 ]
}

 The dataset includes 1508 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002043-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q63n6q
title: Occurrence Download

description: A dataset containing 912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus tephrocephalus",
 "Year 2024-2025"
 ]
}

 The dataset includes 912 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002044-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10528153
title: Single-cell RNA sequencing reveals dysregulated cellular programs in the inflamed epithelium of Crohn's disease patients.

description: Crohn’s disease (CD) is a complex inflammatory disorder of incompletely understood molecular aetiology. We generated a large single-cell RNA sequencing dataset from the terminal ileal biopsies of two independent cohorts comprising a total of 50 CD patients and 71 healthy controls. We performed transcriptomic analyses to reveal genes, cell types and mechanisms perturbed in CD, leveraging the power of the two cohorts to confirm our findings and assess replicability. In addition to mapping widespread alterations in cytokine signalling, we provide evidence of pan-epithelial upregulation of MHC class I genes and pathways in CD. Using non-negative matrix factorization we revealed intra- and inter-cellular upregulation of expression programs such as G-protein coupled receptor signalling and interferon signalling, respectively, in CD. We observed an enrichment of CD heritability among marker genes for various activated T cell types and myeloid cells, supporting a causal role for these cell-types in CD aetiology. Comparisons between our discovery and replication cohort revealed significant variation in differential gene-expression replicability across cell types. B, T and myeloid cells showed particularly poor replicability, suggesting caution should be exercised when interpreting unreplicated differential gene-expression result in these cell types. Overall, our results provide a rich resource for identifying cell-type specific biomarkers of Crohn’s disease and identifying genes, cell types and pathways that are causally and replicably associated with disease.
DOI: 10.5281/zenodo.8301000
title: Single-cell RNA sequencing reveals dysregulated cellular programs in the inflamed epithelium of Crohn's disease patients.

description: Crohn’s disease (CD) is a complex inflammatory disorder of incompletely understood molecular aetiology. We generated a large single-cell RNA sequencing dataset from the terminal ileal biopsies of two independent cohorts comprising a total of 50 CD patients and 71 healthy controls. We performed transcriptomic analyses to reveal genes, cell types and mechanisms perturbed in CD, leveraging the power of the two cohorts to confirm our findings and assess replicability. In addition to mapping widespread alterations in cytokine signalling, we provide evidence of pan-epithelial upregulation of MHC class I genes and pathways in CD. Using non-negative matrix factorization we revealed intra- and inter-cellular upregulation of expression programs such as G-protein coupled receptor signalling and interferon signalling, respectively, in CD. We observed an enrichment of CD heritability among marker genes for various activated T cell types and myeloid cells, supporting a causal role for these cell-types in CD aetiology. Comparisons between our discovery and replication cohort revealed significant variation in differential gene-expression replicability across cell types. B, T and myeloid cells showed particularly poor replicability, suggesting caution should be exercised when interpreting unreplicated differential gene-expression result in these cell types. Overall, our results provide a rich resource for identifying cell-type specific biomarkers of Crohn’s disease and identifying genes, cell types and pathways that are causally and replicably associated with disease.
DOI: 10.5285/71e0cc1b-59bd-4b7d-994c-fa4b1c9689d9
title: Canopy temperatures of a mature oak woodland under Free-Air CO2 Enrichment at the BIFoR-FACE experimental site, Staffordshire, UK, 2021-2023

description: The dataset provides raw infrared temperature data from a thermal camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). Data were collected in order to assess the impact of high CO2 on canopy temperatures and for greater understanding of plant temperature regulation. This site is a mature oak woodland, and the field of view of the camera includes one of the experimental CO2 enrichment plots, and numerous trees in the ambient un-enriched air. The trees included in the field of view are predominantly Quercus robur, with some individuals of Acer pseudoplatanus and Pinus sylvestris. 
description: Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.
DOI: 10.6084/m9.figshare.30675038
title: EcoNurture: Integrating Feminist Economics into Agroecological Research

description: Data collected in two waves from agroecology farmers in South East Nigeria
DOI: 10.6084/m9.figshare.30675038.v1
title: EcoNurture: Integrating Feminist Economics into Agroecological Research

description: Data collected in two waves from agroecology farmers in South East Nigeria
DOI: 10.17632/d8d9w69c7x
title: Survey dataset on middle school library development, staffing, facilities, and services in 14 prefecture-level cities of Guangxi, China

description: This dataset provides a rare and comprehensive characterization of secondary school library resources and services in a less-studied region of China, based on a standardized survey administered across 14 prefecture-level cities in Guangxi: Nanning, Liuzhou, Guilin, Wuzhou, Beihai, Fangchenggang, Qinzhou, Guigang, Yulin, Baise, Hezhou, Hechi, Laibin, and Chongzuo.
DOI: 10.17632/d8d9w69c7x.1
title: Survey dataset on middle school library development, staffing, facilities, and services in 14 prefecture-level cities of Guangxi, China

description: This dataset provides a rare and comprehensive characterization of secondary school library resources and services in a less-studied region of China, based on a standardized survey administered across 14 prefecture-level cities in Guangxi: Nanning, Liuzhou, Guilin, Wuzhou, Beihai, Fangchenggang, Qinzhou, Guigang, Yulin, Baise, Hezhou, Hechi, Laibin, and Chongzuo.
DOI: 10.17632/hvp38m79ft.1
title: Rocca San Silvestro - zooarchaeological record

description: This dataset presents the zooarchaeological results from faunal remains recovered at the medieval mining site of Rocca San Silvestro (Campiglia Marittima, Tuscany, Italy), dating to the 13th–14th centuries AD. The material derives from a new research conducted in June–July 2023 and focuses on selected areas originally excavated between 1991 and 1993. The analyses were carried out within the international project “Pursuing Public Health in the Preindustrial World, 1100–1800”, funded by the Australian Research Council.

The dataset includes 1,333 faunal remains from areas 4100, 4200, and 4700, organised into three sheets:

Sheet 1 – Bones
Records include the excavation year, associated archaeological period, stratigraphic unit (US), preservation state (good, medium, bad), anatomical element, side, taxonomic identification, degree of epiphyseal fusion, butchery evidence, burning and gnawing traces, biometrical measurements, pathologies, and other non-metric traits.

Sheet 2 – Teeth
This sheet documents loose and in-jaw teeth, including side, taxonomic identification, and associated dental measurements.

Sheet 3 – Ribs and vertebrae
Ribs and vertebrae are recorded separately, with notes on butchery, burning and gnawing evidence. Elements are further classified into medium-sized and large-sized categories.
DOI: 10.17632/zjk9vmnzv8
title: Arctic subregions PAHs PCBs

description: The content of 16 individual PAHs and 7 homologous groups of PCBs in soils and bottom sediment across Arctic sub-regions.
DOI: 10.17632/zjk9vmnzv8.1
title: Arctic subregions PAHs PCBs

description: The content of 16 individual PAHs and 7 homologous groups of PCBs in soils and bottom sediment across Arctic sub-regions.
DOI: 10.17632/nsgz2fxcp4
title: Raw behavioural data from predator-prey experiments with palaemonid shrimps and juvenile giant grouper (Epinephelus lanceolatus)

description: This dataset contains raw behavioral data from 90 experimental trials testing host protection and predator-avoidance in five palaemonid shrimp species across three treatments (bare tank, synthetic anemone, live anemone Entacmaea quadricolor).
Data includes:
- Shrimp survival time (Table S1)
- Frequency of hunting attempts by fish Epinephelus lanceolatus (Table S2)
- Frequency of tail-flipping in shrimps (Table S6)
- Proportion of time spent on continuous behaviors of shrimps and fish (Table S3 and S5)
- Proportion of time spent on different spatial regions of shrimps (Table S4)

Data supports the manuscript: [Tse, T. W., Wong, T. H. H. & Tsang, L. M. (in press). Protective benefit of sea anemone host to symbiotic palaemonid shrimps and predator-avoidance behaviours among palaemonid shrimps. Zoology].
DOI: 10.17632/nsgz2fxcp4.1
title: Raw behavioural data from predator-prey experiments with palaemonid shrimps and juvenile giant grouper (Epinephelus lanceolatus)

description: This dataset contains raw behavioral data from 90 experimental trials testing host protection and predator-avoidance in five palaemonid shrimp species across three treatments (bare tank, synthetic anemone, live anemone Entacmaea quadricolor).
Data includes:
- Shrimp survival time (Table S1)
- Frequency of hunting attempts by fish Epinephelus lanceolatus (Table S2)
- Frequency of tail-flipping in shrimps (Table S6)
- Proportion of time spent on continuous behaviors of shrimps and fish (Table S3 and S5)
- Proportion of time spent on different spatial regions of shrimps (Table S4)

Data supports the manuscript: [Tse, T. W., Wong, T. H. H. & Tsang, L. M. (in press). Protective benefit of sea anemone host to symbiotic palaemonid shrimps and predator-avoidance behaviours among palaemonid shrimps. Zoology].
DOI: 10.6084/m9.figshare.30675083
title: Supplementary Material for: Building and prospectively evaluating a prediction model to forecast urgent dialysis needs across four tertiary hospitals

description: Background: Urgent dialysis is labour-intensive and expensive because it requires specialized nursing staff. Most hospitals schedule a fixed number of nurses daily for urgent dialysis needs, but daily dialysis demand fluctuates, leading to inefficiencies.

Methods: We developed statistical, machine learning, and deep learning models to predict the next seven days' dialysis needs. Our study included a retrospective (Apr 1, 2018 to Mar 31, 2023) and prospective component (Nov 1 to 30, 2023 and May 31 to June 27, 2024) across four hospitals (Hospital A for one hospital and Hospital B for three hospitals combined). To avoid model over-fitting, we divided our data into three sets: training, testing, and validation. The latter was performed prospectively during two silent deployment periods. The primary outcome measure was the mean absolute error (MAE). 

Results: The mean daily dialysis volume in the retrospective data was 16.0 (standard deviation [SD], 5.7) for Hospital A and 4.5 (SD, 2.3) for Hospital B. The best performing models were autoregressive integrated moving average (ARIMA) and temporal convolutional network; both resulted in an MAE of 3.0 procedures for Hospital A and 1.5 procedures for Hospital B, compared to 4.4 and 1.9 respectively for the benchmark. During our two prospective evaluations, the mean daily dialysis volume was 16.8 (SD, 4.5) for Hospital A and 4.2 (SD, 2.5) for Hospital B. The ARIMA model resulted in the lowest MAE at 2.2 and 1.5 procedures, respectively.

Conclusions: Our multicentre, six-year study demonstrated that urgent in-hospital dialysis needs can be accurately forecasted.
DOI: 10.6084/m9.figshare.30675083.v1
title: Supplementary Material for: Building and prospectively evaluating a prediction model to forecast urgent dialysis needs across four tertiary hospitals

description: Background: Urgent dialysis is labour-intensive and expensive because it requires specialized nursing staff. Most hospitals schedule a fixed number of nurses daily for urgent dialysis needs, but daily dialysis demand fluctuates, leading to inefficiencies.

Methods: We developed statistical, machine learning, and deep learning models to predict the next seven days' dialysis needs. Our study included a retrospective (Apr 1, 2018 to Mar 31, 2023) and prospective component (Nov 1 to 30, 2023 and May 31 to June 27, 2024) across four hospitals (Hospital A for one hospital and Hospital B for three hospitals combined). To avoid model over-fitting, we divided our data into three sets: training, testing, and validation. The latter was performed prospectively during two silent deployment periods. The primary outcome measure was the mean absolute error (MAE). 

Results: The mean daily dialysis volume in the retrospective data was 16.0 (standard deviation [SD], 5.7) for Hospital A and 4.5 (SD, 2.3) for Hospital B. The best performing models were autoregressive integrated moving average (ARIMA) and temporal convolutional network; both resulted in an MAE of 3.0 procedures for Hospital A and 1.5 procedures for Hospital B, compared to 4.4 and 1.9 respectively for the benchmark. During our two prospective evaluations, the mean daily dialysis volume was 16.8 (SD, 4.5) for Hospital A and 4.2 (SD, 2.5) for Hospital B. The ARIMA model resulted in the lowest MAE at 2.2 and 1.5 procedures, respectively.

Conclusions: Our multicentre, six-year study demonstrated that urgent in-hospital dialysis needs can be accurately forecasted.
DOI: 10.17632/p3jvg7n5hs
title: Characteristics and Influencing Factors of Soil Shear Strength in Gully Erosion at Different Developmental Segments of Subalpine Meadows

description: The data were obtained from field sampling conducted in July 2024 in the gully erosion area of the subalpine meadow on Gaoben Mountain, Kunming, Yunnan Province. Laboratory analyses were completed at the Water-Saving Irrigation Experiment Center of Yunnan Agricultural University in Kunming. The dataset includes soil shear strength, physicochemical properties, and mineral composition from different gully segments (gully head, gully middle, and gully outlet) and positions (gully edge, gully wall, and gully floor) within the subalpine meadow gully system.
DOI: 10.17632/p3jvg7n5hs.1
title: Characteristics and Influencing Factors of Soil Shear Strength in Gully Erosion at Different Developmental Segments of Subalpine Meadows

description: The data were obtained from field sampling conducted in July 2024 in the gully erosion area of the subalpine meadow on Gaoben Mountain, Kunming, Yunnan Province. Laboratory analyses were completed at the Water-Saving Irrigation Experiment Center of Yunnan Agricultural University in Kunming. The dataset includes soil shear strength, physicochemical properties, and mineral composition from different gully segments (gully head, gully middle, and gully outlet) and positions (gully edge, gully wall, and gully floor) within the subalpine meadow gully system.