cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27992417.v3
title: CMAB-The World's First National-Scale Multi-Attribute Building Dataset

description: Rapidly acquiring three-dimensional (3D) building data, including geometric attributes like rooftop, height and orientations, as well as indicative attributes like function, quality, and age, is essential for accurate urban analysis, simulations, and policy updates. Current building datasets suffer from incomplete coverage of building multi-attributes. This paper presents the first national-scale Multi-Attribute Building dataset (CMAB) with artificial intelligence, covering 3,667 spatial cities, 31 million buildings, and 23.6 billion m² of rooftops with an F1-Score of 89.93% in OCRNet-based extraction, totaling 363 billion m³ of building stock. We trained bootstrap aggregated XGBoost models with city administrative classifications, incorporating morphology, location, and function features. Using multi-source data, including billions of remote sensing images and 60 million street view images (SVIs), we generated rooftop, height, structure, function, style, age, and quality attributes for each building with machine learning and large multimodal models. Accuracy was validated through model benchmarks, existing similar products, and manual SVI validation, mostly above 80%. Our dataset and results are crucial for global SDGs and urban planning.Data records: A building dataset with a total rooftop area of 23.6 billion square meters in 3,667 natural cities in China, including the attribute of building rooftop, height, structure, function, age, style, colour and quality, as well as the code files used to calculate these data. The deep learning models used are OCRNet, XGBoost, fine-tuned CLIP and Yolo-v8.Reference Format：Zhang, Y., Zhao, H. & Long, Y. CMAB: A Multi-Attribute Building Dataset of China. Sci Data 12, 430 (2025). https://doi.org/10.1038/s41597-025-04730-5.
DOI: 10.17632/kv6bh2zkht
title: Lipidomics_white_and_brown_adipose_tissue_lean_obese_mice

description: Shotgun lipidomics enables the detection of lipids from theoretically all kinds of substrate, provided that extraction and processing procedures are adapted, to ensure good coverage and reproducible quantification of the lipidome. The quantification of lipids from Adipose tissue (AT) is particularly challenging due to the predominance of triacylglycerides, which elicit high ion suppression of the remaining lipid classes. We generated this data by applying a new and validated method for shotgun lipidomics of AT, which tailors the lipid extraction procedure to the target specimen. In particular, we analysed three AT types (brown - BAT; gonadal - GAT; inguinal subcutaneous - SAT) from 10 lean (chow diet - CD) and 10 obese (high fat diet - HFD) mice. We observed tissue-specific and diet-related differences, with Brown AT exhibiting a distinct lipidomic profile with the greatest lipid class diversity and responding to high-fat diet by altering its lipid composition, so that it becomes more similar to that of white AT. Moreover, diet-induced obesity promoted an overall remodelling of the lipidome, where all three AT types featured a significant increase in longer and more unsaturated triacylglyceride and phospholipid species. By presenting our method we intend to facilitate reproducible systematic lipidomic profiling of AT. The data generated within this project is intended as a proof of concept that the method works and gives results that are compatible with what was found in other papers. In addition, we provide a first explorative analysis of the effects of overnutrition on the AT lipidome.
DOI: 10.17632/wtj4v5g24n
title: The Diastasis Rectus Abdominis Questionnaire: development and initial validation of a questionnaire for the evaluation of the symptoms and consequences of diastasis rectus abdominis 

description: The objective of this projet is the development of the Diastasis Rectus Abdominis Questionnaire (DRAQ), a specific questionnaire for the evaluation and quantification of symptoms and consequences of DRA in adult females with this condition. 
Stage 1. Expert panel: Spanish item development 
33 items were developped to mesure the symptoms and consequences of diastasis rectus abdominis in women with this condition. These items were evaluated by the expert panel, which was composed of eleven experts qualified in women’s health management and/or with extensive experience in methodology. All items obtained a value greater than or equal to 0.8 for “clarity” and “coherence”. Three items obtained a score of less than 0.8 in relevance and were therefore withdrawn. Based on those results, and taking in account the remarks given by the members of the expert panel, a second version of the questionnaire was created.
Stage 2. Pilot test of the Spanish DRAQ
Thirty females with DRA evaluated the items generated by the expert panel and rated the relevance, clarity and coherence of each one of the items. Three of the items were eliminated, since they were considered irrelevant. The final version of the questionnaire was created with the remaining 27 items. Internal consistency of the Spanish version of the DRAQ was calculated and the total Cronbach's alpha coefficient for the questionnaire was 0.972. The Spanish version of DRAQ did not present a ceiling or floor effect, as no subject scored the minimum (0 points) or the maximum (108 points).
Stage 3. Pilot test of the English version of DRAQ
Thirty females with DRA answered the questionnaire and evaluated the relevance, clarity and coherence of the items. Several participants commented about the lack of clarity of one item, which was replaced and re-evaluated.  This modified item obtained adequate scores on clarity (Aiken’s V: 0.833) and relevance (Aiken’s V: 0.895). Internal consistency of the English version of DRAQ was calculated and Total Cronbach's alpha coefficient for the questionnaire was 0.937. The English version of DRAQ did not present a ceiling or floor effect, since no subject scored the minimum (0 points) or the maximum (108 points).
DOI: 10.17632/xs46sxb9tc
title: Relationship between malocclusions, oral habits and treatments in paediatric patients in the field of interceptive orthodontics at the Dr. René Puig Bentz School of Dentistry, Universidad Nacional Pedro Henríquez Ureña

description: Dental malocclusions are considered a public health problem. On a worldwide scale, according to the WHO, malocclusions occupy the 3rd place in oral health problems. In Latin America, according to the Pan American Health Organization, the figures exceed 85% of incidence and prevalence in the population. It is estimated that between 20 and 30 million children in Latin America suffer from some type of dentomaxillofacial anomaly.
The study was a descriptive observational, non-experimental, cross-sectional study. A study and synthesis of clinical records of patients who met the inclusion criteria between 2010 and 2024 was carried out. The presence of malocclusions (sagittal, vertical, transversal and dental crowding), deforming habits and treatments carried out were evaluated. The sample consisted of a total of 201 pediatric patients between 4 and 12 years of age. A database was created in Microsoft Office Excel spreadsheets, where all the information was stored. The Statistical Package for the Social Sciences 25 (SPSS) program was used for data processing and analysis. Chi-square tests were also applied.
Of the 201 patients who participated in the study, 88 were male (43.78%) and 113 were female (56.21%). It was observed that class I was the predominant type of malocclusion in the sagittal direction with 110 (54.73%) of the patients, class II in 51 (25.37%) of patients and class III bite in 22 (10.95%). In the transversal direction, posterior crossbite was the predominant type with 23 patients (11.44%) and the least observed type was scissor bite with 1 (0.5%) patient. Vertically, anterior open bite was the predominant type with 73 (36.32%) patients and the least observed type was anterior and posterior open bite with 1 (0.5%) patient. The predominant type of crowding was mild with 66 (32.84%) patients and the least observed type was severe with 10 (4.98%) patients. The main deforming habit was digital suction with 97 (48.26%) patients. It was observed that the majority treatment was the placement of the Habit Inhibitor with 112 (55.72%) patients. 
According to the results compiled, the hypothesis of this research is accepted, which refers that the vertical malocclusion that is present in most of the patients seen in the Dr. René Puig Bentz Dental Clinic is anterior open bite and the most frequent treatment is the habit inhibitor.
DOI: 10.6084/m9.figshare.1008153.v1
title: Article to article network, via hyperlinks, from Wikipedia 'Archaeology' page

description: Collected using the WikiImporter for NodeXL. Seeded from the 'Archaeology' page on Wikipedia; 1.5 links deep.
DOI: 10.6084/m9.figshare.13259954.v1
title: Lista de espécies de leguminosas do Chaco

description: Tabela contendo nomes das espécies de leguminosas ocorrentes no Chaco, separadas por subfamília.
DOI: 10.6084/m9.figshare.21500094.v1
title: GeoGlue HR UAV Dataset

description: The high-resolution UAV image dataset used in the paper of GeoGlue.
DOI: 10.6084/m9.figshare.28236140.v1
title: Dataset - Solar Photovoltaics on College Campuses: An Analysis of the Impact of the Inflation Reduction Act

description: Data corresponding to a geospatial analysis of the impact of the Inflation Reduction Act on solar feasibility at higher education institutions.Columns:INSTNM - Institution Name from IPEDSCITY - City of institution from IPEDSSTABBR - State of institution from IPEDSCreditBaseline - IRA Direct Pay Incentive estimate as a decimal (e.g., 0.30 corresponds to a 30% credit)YearlyEstimatedSavings - Yearly Estimated Savings, in US Dollars, approximated from NREL solar resource data. Assumes an 80 kW array.ANNUALAVG - Average daily solar resource data from NREL in Wh/m^2/day for the campus location given in IPEDS. Averaged over a year.EstimatedReturnRate - Estimated return rate on investment assuming $2.00/installed Watt of DC solar, 0.2 panel efficiency, 0.8 system efficiency, 12 cents/kWh, the tax credit for the institution as estimated from DoE data, and solar resource given by NREL data. (e.g., 0.11 corresponds to 11%). Data Provenance:College and University data comes from IPEDS, the Integrated Postsecondary Education Data System. In particular, school locations are from Directory information, institutional characteristics, 2022.Solar Resource data comes from NREL's RE Atlas.Energy Community data comes from the US DoE: Coal Closure Data 2024 and MSAs and Non-MSAs and their fossil fuel employment (FFE) and energy community status as of June 7, 2024.State line shape file data: 2018 US state 500k.School data was spatially joined with solar resource data to estimate the potential for solar power on each campus. The resulting data was then spatially joined with the DoE's energy community data to inform the tax credit available to each institution. Brownfield data is not included.
DOI: 10.6084/m9.figshare.28254044.v1
title: Data for figures in the article "Water nanofilms facilitate ice crystal growth across droplets"

description: Data for figures in the article "Water nanofilms facilitate ice crystal growth across droplets"
DOI: 10.17632/2ksdzxdvbm
title: Dataset of Guava Leaf Diseases in Bangladesh

description: The dataset, sourced from Vimruli Guava Garden and Floating Market in Jhalakathi, Barisal, categorizes guava leaf and fruit conditions for better crop management. It includes images of healthy and diseased samples, making it a valuable resource for researchers and practitioners working on machine learning models to identify plant diseases. The dataset includes six classes for robust model training.

Dataset Summary:
 Location: Vimruli Guava Garden & Floating Market, Jhalakathi, Barisal.
 Subjects: Guava leaves and fruits.
 Purpose: Classification and detection of guava plant conditions.

Data Distribution:
 Classes:
 1. Algal Leaves Spot: 100 original, 1320 augmented, 1420 total
 2. Dry Leaves: 52 original, 676 augmented, 728 total
 3. Healthy Fruit: 50 original, 650 augmented, 700 total
 4. Healthy Leaves: 150 original, 1600 augmented, 1750 total
 5. Insects Eaten: 164 original, 1720 augmented, 1884 total
 6. Red Rust: 90 original, 1170 augmented, 1260 total

Total Samples:
 Original: 606
 Augmented: 7136
 Overall: 7742 samples

Class Details:
 1. Algal Leaves Spot: Fungal spots on leaves.
 2. Dry Leaves: Leaves dried from environmental/nutrient factors.
 3. Healthy Fruit/Leaves: Free of diseases/damage.
 4. Insects Eaten: Insect-caused damage on leaves.
 5. Red Rust: Reddish spots due to fungal infection.

This dataset is well-suited for training and evaluating machine learning models to detect and classify various conditions of guava plants, aiding in automated disease identification and better agricultural management.
DOI: 10.17632/3f4rsk96kf
title: LSC_TRM

description: Single cell RNAseq and bulk TCR repertoire data for "Resident memory T cells in tumor-distant tissues fortify in metastasis formation"
DOI: 10.17632/4y4pby5px7
title: Soil Sample Image Feature Dataset

description: These datasets contain soil sample image features represented in various color coordinate systems, along with corresponding illumination and moisture levels recorded at three different time points under different lighting condition.
DOI: 10.6084/m9.figshare.13264793.v5
title: BioSR: a biological image dataset for super-resolution microscopy

description: BioSR is a biological image dataset for super-resolution microscopy, currently including more than 2200 pairs of low-and-high resolution images covering four biology structures (CCPs, ER, MTs, F-actin), nine signal levels (15-600 average photon count), and two upscaling-factors (linear SIM and non-linear SIM). BioSR is now freely available, aiming to provide a high-quality dataset for the community of single bio-image super-resolution algorithm and advanced SIM reconstruction algorithm developers. For more information about BioSR, please see our Nature Methods manuscript, "Evaluation and development of deep neural networks for image super-resolution in optical microscopy".<br>
DOI: 10.6084/m9.figshare.25452559.v3
title: Statistical Survey of Interchange Events in the Jovian Magnetosphere Using Juno observations

description: Dataset used to produce figures for the paper submitted to Geophysical Research Letters with the title "Statistical Survey of Interchange Events in the Jovian Magnetosphere Using Juno observations"
DOI: 10.6084/m9.figshare.28824077.v1
title: Development Paper - Raw data files - April 2025

description: Raw data files associated with Development paper.
DOI: 10.15468/dl.7bnh5e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((6.1346 -1.4131,6.0095 -1.0885,5.5445 -0.9058,5.2269 -1.0828,5.1089 -1.4368,5.2587 -1.812,5.5948 -1.957,6.0445 -1.7393,6.1346 -1.4131))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013246-250525065834625/datasets/export for details.
DOI: 10.17608/k6.auckland.25224005.v1
title: HVN MultiProMo Metadata Record - Digestibility of High-Protein Drinks in Seniors

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future.<b>Description:</b> The MultiProMo trial is a nutritional study to evaluate the influence of food digestibility on amino acid metabolism in healthy men aged 50-70. On each trial day, fasted participants consume one of three high-protein drinks and provide blood and urine samples over 5 hours. This is a cross-over study, so each participant consumes all three drinks on separate days. Levels of amino acids and digestion-related metabolic compounds are measured in blood and urine, in order to understand the release and supply of nutrients for support skeletal muscle synthesis and maintenance. Participants rate satiety and thirst in the period after drink consumption.
DOI: 10.25442/hku.16864411.v1
title: Digital dentistry manual.pdf

description: By the end of this digital dentistry course, students should be able to:<br>1. To understand the different file extensions and scanning equipment used in Digital Dentistry <br>2. To use the intraoral and extraoral scanners independently in their provision of treatments topatients<br><br>3. To discuss the advantages and disadvantages of digital impression in comparison with theanalogue<br><br>4. To understand the basic principles of designing RBB using Exocad 5. To be able to perform zirconia polishing inside and outside clinic
DOI: 10.6084/m9.figshare.21220241.v2
title: Jurassic evolution of Dunhuang Basin and its implication on early history of Altyn Tagh Fault, Northeast Tibet Plateau

description: Detrital zircondata of the Jurassic strata in the Dunhuang Basin
DOI: 10.6084/m9.figshare.24902889.v5
title: Data Science for Environmental Justice PBL Module: Air Pollution Data

description: This is a PBL module on Air Pollution to be used in an introductory environmental science course to motivate students to analyze related environmental justice issues.US EPA data on "State EJScreen Data at the Block Group Level" (EJSCREEN_2023_BG_StatePct_with_AS_CNMI_GU_VI.csv) was downloaded from https://www.epa.gov/ejscreen/download-ejscreen-data on December 20, 2023. (Note: Access to the EJSCREEN tool was removed during February 2005).This data was processed/cleaned using the included R script - major changes (see the R script for full changes):The dataset was subset for the state of North Carolina and region (piedmont/mountains/coastal plain) column was added.Only a subset of the variables were retained.Any row with missing information was removed.Columns with percent values were converted from decimals to percentages.An additional, summarized dataset, summarized by county, is provided: we report the sum for ACSTOTPOP, AREALAND, and AREAWATER, and the mean for the other variablesThe data provenance and data dictionary is included.Lecture Slides, Activity Sheets and Instructor Notes: https://sites.google.com/view/ds4ejThe following files are included:<b>Data Provenance and Data Dictionary: </b>Data Provenance and Data Dictionary.pdf<b>R Script for Data Processing:</b> EJSCREEN_Data_Curation_NC_Summarized_by_County.R<b>Processed Dataset for North Carolina:</b> EJScreen_State_BGLevel_NC_13Columns.csv<b>Summarized Dataset for North Carolina (summarized by county): </b>EJScreen_State_BGLevel_NC_Summarized_By_County_13Columns.csv<b>Data Dictionary: </b>Data_Dictionary_EJSCREEN_2023_BG_Columns.pdf<b>Original Dataset from EPA/EJSCREEN from which Data was Extracted for North Carolina: </b>DS4EJ_EJSCREEN_2023_BG_StatePct_with_AS_CNMI_GU_VI.csv<br>
DOI: 10.6084/m9.figshare.27161718.v1
title: chirps-v2.0.monthly.nc

description: MINAS GERAIS - SPI
DOI: 10.6084/m9.figshare.28988165.v1
title: Demo dataset

description: Demo dataset for field and tomogram reconstruction
DOI: 10.6084/m9.figshare.5281273.v1
title: What mediates tree mortality during drought in the southern Sierra Nevada?

description: We used high-fidelity imaging spectroscopy (HiFIS) and light detection and ranging (LiDAR) from the Carnegie Airborne Observatory (CAO) to estimate the effect of forest dieback on species composition in response to drought stress in Sequoia National Park. Our aims were: (1) to quantify site-specific conditions that mediate tree mortality along an elevation gradient in the southern Sierra Nevada Mountains; (2) to assess where mortality events have a greater probability of occurring; and (3) to estimate which tree species have a greater likelihood of mortality along the elevation gradient. The data-set include dead trees and highly stressed trees that were identified in 2015 in the forests of Sequoia National Park (SNP), along an elevation gradient in California’s southern Sierra. <br><br><br>
DOI: 10.17632/9sn2xvc698
title: Data for: Communication efficiency of color naming across languages provides a new framework for the evolution of color terms
DOI: 10.17632/c4ynhn7gzk
title: Phase2 Study Faringel Plus® Palliative care

description: Raw data of the Phase II study investigating an oral care protocol including basic oral hygiene and a propolis-based product (Faringel Plus®) in 77 palliative care patients
DOI: 10.17632/v65cjwvsjz
title: Flow cytometry data (3) from: Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity, Potts et al.

description: Full associated publication: 'Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity', Potts et al (2023). Raw 18-colour flow cytometry data characterising PBMC derived from cohort of 36 donors, including healthy controls and individuals infected with SARS-CoV-2. Data were utilised to validate upregulation of the markers CEACAM1, CEACAM6, CEACAM8, CD177, CD63 and CD89 in severe COVID-19 and phenotype immune cell populations upregulating these markers. Flow cytometry data were collected over 3 separate experiments on a Cytek Aurora spectral flow cytometer and are provided as unmixed and unprocessed .fcs files from the third experiment. These data can be analysed using the widely used FlowJo analysis software. Each data file is titled with indicators for the donor ID (CVXXXX) and whether the sample was stained with the antibody cocktail or left as an unstained control. Full metadata for each donor can be found in the associated publication.
DOI: 10.6084/m9.figshare.15066375.v1
title: Supplementary Material for: Multimorbidity and Regional Volumes of the Default Mode Network in Brain Aging

description: <b><i>Introduction:</i></b> The default mode network (DMN) is selectively vulnerable in brain aging. Little is known about the effect of multimorbidity as a whole onto the brain structural integrity. <b><i>Objective:</i></b> We aimed to investigate the association between multimorbidity and the structural integrity of DMN. <b><i>Methods:</i></b> We enrolled senior volunteers aged between 60 and 80 years in Hualien County during 2014–2018 and conducted in-person interview to collect information on chronic diseases. Fasting blood glucose and glycated hemoglobin (HbA1c) were tested. We assessed multimorbidity burden by the cumulative illness rating scale-geriatric (CIRS-G). MRI brain scans were standardized to measure the regional volume within the DMN. In a cross-sectional design, we employed stepwise regression models to evaluate the effects of age, sex, hyperglycemia, and multimorbidity on the DMN. <b><i>Results:</i></b> A total of 170 volunteers were enrolled with a mean age of 66.9 years, female preponderance (71%), an average mini-mental state examination score of 27.6, a mean HbA1c of 6.0, and a mean CIRS-G total score (TS) of 7.2. We found that older age was associated with reduced volumes in the hippocampus, left rostral anterior cingulate cortex, right posterior cingulate, right isthmus, precuneus, and right supramarginal. Higher levels of HbA1c and fasting glucose were associated with a reduced volume in the hippocampus only. A higher CIRS-G-TS was associated with reduced volumes in the left posterior cingulate cortex and right supramarginal gyrus; while a higher CIRS-G severity index was associated with a smaller right precuneus and right supramarginal. <b><i>Conclusions:</i></b> In the DMN, hippocampal volume shows vulnerability to aging and hyperglycemia, whereas the posterior cingulate, supramarginal, and precuneus cortices may be the key sites to reflect the total effects of multimorbidity.