cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1256582
title: Vector Shapefiles Of The Rural-Urban Interface In Portugal Estimated For Different Periods (1990, 2000, 2006, 2012)

description: Vector shapefiles of the rural-urban interface (RUI) in Portugal estimated for different periods (1990, 2000, 2006, 2012). RUI was mapped considering the first and the second level hierarchy of CORINE Land Cover (CLC). A specific geospatial approach was designed to extract the area of intersection between a buffer around the artificial surfaces and the area resulting from the sum of the forest and semi natural areas plus the heterogeneous agricultural areas. We adopted a buffer width of 1 km, corresponding to two times the spatial resolution of CLC inventories. 

The field “code_yy” refers to CLC class level 3. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu

More about the the RUI maps elaboration can be found at: https://doi.org/10.5194/nhess-18-1-2018. Please, cite data and the related paper if you use them. (cite as: Tonini., M., Parente., J., Pereira., M., Global assessment of rural-urban interface in Portugal related to land cover changes; Nat. Hazards Earth Syst. Sci., 18, 1–18, 2018)
description: {"references": ["Tonini, M., Parente, J., Pereira, M.,  (2018) - Global assessment of rural-urban interface in Portugal related to land cover changes, https://doi.org/10.5194/nhess-18-1-2018"]}
DOI: 10.5281/zenodo.4017593
title: X-ray light-field - Small branch - 1 deg angular range

description: X-ray light-field of a small branch, taken with the FleX-ray scanner, in the Computational Imaging group of CWI (Amsterdam). Angular range is ~1 degree, panel pixel size ~150 um. This bundle includes: <pre><code>light-field_corrected.vox</code></pre> Light-field in the VOX v0 data format (based on HDF5). Any HDF5 reader can open it. Native support is available here: https://github.com/cicwi/plenoptomos. The image floating point precision is FP32. <pre><code>light-field_acquisition_rawdata.tbz </code></pre> Light-field acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, etc). <pre><code>tomo_acquisition_rawdata.tbz</code></pre> Tomographic acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, angles, etc). <pre><code>tomo_reconstruction_and_segmentation.h5</code></pre> Tomographic reconstruction of the raw data, in HDF5. Any HDF5 reader can open it. It contains two self-descriptive datasets: "volume" and "segmentation".
DOI: 10.5281/zenodo.4261381
title: GSPEED - BLE-based gait speed dataset

description: Bluetooth Low Energy (BLE) database to evaluate the gait speed of individuals in an in-home environment. The database is composed of several BLE RSSI measurements from different wearable devices and different BLE beacons, corresponding to 382 walks performed by 13 actors. Each row represents an RSSI measurement. The structure of the dataset is as follows: <pre><strong>mac</strong>: The MAC address of the detected beacon. <strong>rssi</strong>: The RSSI value obtained for the beacon. <strong>device</strong>: A four-character descriptor for the smartwatch that performed the scan. <strong>timestamp</strong>: The time stamp at which the scan was received. <strong>user</strong>: The id of the user that was performing the experiment. <strong>direction</strong>: A number (0 or 1) indicating the direction of the walk. <strong>walk_id</strong>: A number that identifies each walk. <strong>speed</strong>: The actual speed of the user, in $m/s$.</pre>
description: This work was supported in part by the Spanish Ministry of Economy and Competitiveness through projects MICROCEBUS (RTI2018-095168-B-C53/C54), REPNIN+ (TEC2017-90808-REDT) and in part by the Regional Government of Extremadura and the European Regional Development Fund through project GR18038 and the Regional Government of Valencian Community by project AICO/2020/046.
DOI: 10.5281/zenodo.4302469
title: The features of the selected papers in the field of air quality prediction

description: The table is a part of a submitted manuscript (Iskandaryan, D., Ramos, F., & Trilles, S. The Role of Datasets in Air Quality Prediction. Submitted to Atmosphere.) and includes the following features extracted from the selected papers: <em>Year, Case Study, Prediction Target, Dataset Type, Data Rate, Period (Days), Open Data, Algorithm, Time Granularity and Evaluation Metric</em>. The relevant papers were selected from a systematic review in <em>Air Quality Prediction Using Machine Learning Technologies. </em>The works were queried in Association for Computing Machinery, IEEE Xplore, Scopus and Web of Science databases using the following query: ("machine learning") AND ("prediction"OR "forecast") AND ("air quality" OR "air pollution"), which was being applied to title, abstract and keywords. After filtering the results guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, ninety-three papers were selected. The goal of this review is to understand which features are used in the field, in particular to answer the following questions: 1) What types of datasets are used to improve air quality predictions?; and 2) What characteristics of the dataset are important for efficient and effective air quality forecasting? <br> Twenty-six datasets were used by the authors as supplemental air quality data in order to predict air quality more accurately. Those datasets are: "MET"- meteorological data; "Spatial"- topographical characteristics, the locations of the stations; "Temporal"-includes the day of the month, day of the week, the hour of the day; "AOD"- aerosol optical depth; "Social Media"- microblog data; "Traffic"; "PBL Height"- planetary boundary layer height; "Land Use"; "BEV"- Built Environment Variables; "UV Index"; "SP"- Sound Pressure; "PD"-Population Density; "Human Movements"- floating population and estimated traffic volume; "Altitude"; "OMI-SO2"-Satellite-retrieved SO2 from Ozone Monitoring Instrument-SO2; "PPS"- Pollution Point Source; "TS"-Transportation Source; "WFD’"- weather forecast data; "POI Distribution"; "FAPE"- factory air pollution emission; "RND"- Road Network Distribution; "Elevation"; "AEI"- Anthropogenic Emission Inventory; "NDVI"; "Chemical"- chemical component forecast data (organic carbon, black carbon, sea salt, etc.); "Emission".
DOI: 10.5517/ccdc.csd.cc1pbfgx
title: CCDC 1559159: Experimental Crystal Structure Determination

description: Related Article: Nanaji Yerramsetti, Daniel K. Unruh, Guigen Li
|2017|CSD Communication|||
DOI: 10.60520/ieda/113334
title: Geochemical data of detrital zircons in Western Tianshan

description: This dataset includes locations and descriptions of sandstone-siltstones, as well as U–Pb ages, trace elements, and Hf isotopes of detrital zircons from the Western Tianshan. Zircon U–Pb and trace element analyses were performed by using LA–ICPMS at the State Key Laboratory of Continental Dynamics, Northwest University. Zircon Lu–Hf analyses were conducted on a Neptune plasma multi-collector ICP–MS equipped with an ArF excimer laser ablation system, at the Guangzhou Institute of Geochemistry, Chinese Academy of Sciences (GIG CAS).
description: Wang, K., Cai, K. D., Sun, M., Lai, C. -K., Xia, X. -P., Wang, X. S., & Bao, Z. H. (2024). Paleozoic episodic magmatism in Western Tianshan: Insight into assembling the northeastern Pangea. Geochemistry, Geophysics, Geosystems (accepted)
DOI: 10.6084/m9.figshare.12505022.v1
title: Metadata record for: A database of human gait performance on irregular and uneven surfaces collected by wearable sensors

description: This dataset contains key characteristics about the data described in the Data Descriptor A database of human gait performance on irregular and uneven surfaces collected by wearable sensors. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.24679656
title: Curated Email-Based Code Reviews Datasets

description: Code review is an important practice that improves the overall quality of a proposed patch (i.e. code changes). While much research focused on tool-based code reviews (e.g. a Gerrit code review tool, GitHub), many traditional open-source software (OSS) projects still conduct code reviews through emails. However, due to the nature of unstructured email-based data, it can be challenging to mine email-based code reviews, hindering researchers from delving into the code review practice of such long-standing OSS projects. Therefore, this paper presents large-scale datasets of email-based code reviews of 167 projects across three OSS communities (i.e. Linux Kernel, OzLabs, and FFmpeg). We mined the data from Patchwork, a web-based patch-tracking system for email-based code review, and curated the data by grouping a submitted patch and its revised versions and grouping email aliases. Our datasets include a total of 4.2M patches with 2.1M patch groups and 169K email addresses belonging to 141K individuals. Our published artefacts include the datasets as well as a tool suite to crawl, curate, and store Patchwork data. With our datasets, future work can directly delve into an email-based code review practice of large OSS projects without additional effort in data collection and curation.
DOI: 10.6084/m9.figshare.25559370
title: Understanding, Measuring, and Managing the Benefits of Urban Waterways - Amenity data set

description: Australia needs better water resource management and the rapid growth of Australia's cities places increased importance on managing natural assets that sit within metropolitan areas. This project claims to improve understanding of the contribution of urban waterways to enhanced livability in cities. The focus is on clarifying the link between the benefits of waterways and the measurement techniques used by economists, which in turn inform management choices. The project fills an important gap between the psychology and economics disciplines and outputs should significantly improve the way waterways are valued and managed. The project offers benefits for urban residents along with improving the methodologies used for environmental valuation. The project has two datasets that were collected across four jurisdictions in Australia - one is data collected from amenity experts and the other is collected from households.
DOI: 10.15468/ms5iqu
title: New Zealand Freshwater Fish Database

description: The New Zealand Freshwater Fish Database (NZFFD) records the occurrence of fish in fresh waters of New Zealand, including major offshore islands. We maintain the database at our Wellington campus. Data stored include the site location, the species present, their abundance and size, as well as information such as the fishing method used and a physical description of the site. The latter includes an assessment of the habitat type, substrate type, available fish cover, catchment vegetation, riparian vegetation, water widths and depths, and some water quality measures.
DOI: 10.3886/icpsr09366.v1
title: World Factbook, 1989
title: Version 1

description: This annual survey contains the most current information on topics of interest to United States government officials. Data are presented in alphabetical order for 247 entities that include all countries, dependent areas, and other geographic entities. The entire surface of the world is represented without overlap or omission, and an additional entry for the world as a whole also is presented. Information provided covers the six major topic areas of geography, people, government, economy, communications, and defense forces.
description: Datasets: DS1: World Factbook, 1989
description: The world.
DOI: 10.5281/zenodo.10802894
title: Data for: "A partial near infrared guide star catalog for Thirty Meter Telescope Operations"

description: This .zip file contains the infrared guide star catalogs (IRGSC) generated using optical data (in g, r, i, z, and y bands) from the PANSTARRS DR2 for twenty test fields selected across the TMT's observable sky. The IRGSC is generated by computing the near infrared (J, H and K band) magnitudes of the stellar sources using the Kurucz and Phoenix stellar atmospheric models. Each source in the IRGSC is likely to be stellar and contains the respective PANSTARRS and GAIA object identifiers , their astrometric information from Gaia DR3, the optical and computed NIR magnitudes, the model parameters, the scale factor and the metric d_dev that determines the goodness-of-fit of the model to the data. In addition, the test fields also contain the infrared guide star catalog validated using the UKIDSS DR11 data and plots that show the comparison between the computed NIR magnitudes and observed UKIDSS NIR magnitudes.

Inside this .zip file, there is also another directory that contains the IRGSC generated for additional PANSTARRS Medium Deep Survey fields with readily available PANSTARRS 3pi survey data. Some plots are included that show the efficiency of star-galaxy classification and completeness of the 3-pi survey data for these fields.

More details and the code to generate IRGSC can be found here
DOI: 10.5281/zenodo.10868443
title: 1-km high resolution model outputs using the WRF and WRF-Hydro model Raw data from the manuscipt "Process-based Atmosphere-Hydrology-Malaria Modeling: Performance for Spatio-temporal Malaria Transmission Dynamics in Sub-Saharan Africa "

description: Here we provide the model outputs from the numerical climate model WRF (Weather Research and Forecasting) and its hydrological coupled model WRF-Hydro for the Health and Demographic Surveillance Systems (HDSS) site regions of Nouna in Burkina Faso. Model results are used for investigating the influence of surface hydrology representation, environmental and climate-sensitive driver factors on malaria incidence.The experiments use the following model configuration: 1km horizontal resolution with 200*200 grid points, WSM6 microphysics, ACM2 PBL, and RRTM & Dudhia radiation scheme. WRF uses the Noah LSM, and WRF-Hydro uses the Noah LSM with enhanced lateral hydrological description (https://ral.ucar.edu/projects/wrf_hydro/overview). These simulations were conducted in the Karlsruhe Steinbuch Centre for Computing (SCC) Horeka.

Model outputs are provided in daily step (originally derived from the hourly output). Filename with "wrf-hydro_pr_2000-2020_d02-1km.nc" provides Precipitation,n mm/day"wrf-hydro_tas_2000-2020_d02-1km.nc" provides mean temperature in Celsius, "wrf-hydro_tasmax_2000-2020_d02-1km.nc" provides maximum temperature in Celsius, "wrf-hydro_tasmin_2000-2020_d02-1km.nc" provides minmum temperature in Celsius, "wrf-hydro_dtr_2000-2020_d02-1km.nc" provides diurnal temperature ranges in Celius, "wrf-hydro_rh_2000-2020_d02-1km.nc" provides relative humudity in % and "wrf-hydro_sw_2000-2020_d02-1km.nc" provides the surface hydrology.
DOI: 10.5281/zenodo.10937482
title: Evaluation of Precipitation Forecast by the Operational China Meteorological Administration Mesoscale Model during the 2020 Meiyu Period
DOI: 10.5281/zenodo.6606859
title: Impact of stress regime change on the permeability of a naturally fractured carbonate buildup (Latemar, the Dolomites, northern Italy)_DATASET

description: The datasets (original field photographs, drone images and finite-element modelling algorithms and results) presented here are drawn from the extensive fieldwork, and finite-element modelling of the impact of stress regime change on the permeability of a naturally fractured carbonate buildup (Latemar, the Dolomites, northern Italy) by the author(s). These datasets show different rock units in the Latemar platform riddled with diverse structural elements, including fractures (veins, joints, faults) and stylolites, and the results of the impact of the modelled far-field stresses at (i) subsidence deformation from the NW–SE and (ii) Alpine deformation from N–S. All of which increased the overall fracture aperture and permeability of the studied carbonate platform. 

In addition, the datasets are part of the paper titled "Impact of stress regime change on the permeability of a naturally fractured carbonate buildup (Latemar, the Dolomites, northern Italy)", published in the Solid Earth Journal. 

The drone images are taken with DJI Phantom 4® and processed using Agisoft PhotoScan® - a photogrammetry tool. The workflow in processing the drone images is publicly available in the published work of Bisdom et al. (2017).
DOI: 10.5281/zenodo.7548284
title: Surface sediment Nd isotope compositions from the Ross Sea, Antarctica

description: The dataset contains seafloor surface sediment neodymium isotope compositions for several sites in the Ross Sea, Antarctica. The sediments were supplied by Helen Bostock from NIWA, Wellington, New Zealand, plus two samples from International Ocean Discovery Program (IODP) Expedition 374.
DOI: 10.5281/zenodo.7613529
title: EPOCHAL (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms): Intake questionnaire (English and German)

description: This questionnaire was developed for the EPOCHAL study (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms). The study was sponsored and led by Swiss TPH in Basel, Switzerland and approved by the local ethics committee (Ethikkomission Nordwest- und Zentralschweiz EKNZ, project ID 2021-00151). Written informed consent was obtained from every participant prior to study inclusion. This is the "intake questionnaire" which was administered once for each participant upon starting the study. It includes questions about the following topics:<br> 1) Education<br> 2) Employment<br> 3) Allergy history: including allergies, previous testing, treatments and typical symptoms<br> 4) Residential history<br> 5) Medical history: including asthma, lung conditions, cardiac conditions, Covid-19, neurologic and psychiatric conditions, sleep conditions, recent surgeries and medication intake<br> 6) Lifestyle: including physical activity, smoking habits, alcohol and caffeine intake, sleep habits The questionnaire is also available in German under the same DOI. Please note that this questionnaire was administered electronically on a tablet, and contains: Form logic, which determines the relevance of some questions based on previous answers. Affected questions are typically shown in grey color. Warnings (in large red font) and directions (in large grey font) to warn nurses against performance of spirometry measurements if contraindications were present. For example, when recent surgery was indicated in Topic #5.
description: The rationale and study design for the EPOCHAL project are published here: https://doi.org/10.3389/fpubh.2021.689248
description: {"references": ["https://doi.org/10.3389/fpubh.2021.689248"]}
DOI: 10.5281/zenodo.7715875
title: EPOCHAL (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms): Nurse home visit form (English and German)

description: This questionnaire was developed for the EPOCHAL study (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms). The study was sponsored and led by Swiss TPH in Basel, Switzerland and approved by the local ethics committee (Ethikkomission Nordwest- und Zentralschweiz EKNZ, project ID 2021-00151). Written informed consent was obtained from every participant prior to study inclusion. This is the "nurse home visit form" which was administered 6 times for each participant during weekly home visits by our study nurses during the pollen season. It includes questions about the following topics:<br> 1) Potential for Covid-19 infection, changes in vaccination status<br> 2) Overall health status<br> 3) Allergic symptoms: nose, eyes, lungs<br> 4) Sleep, mood and quality of life<br> 5) Medication use<br> 6) Time spent outdoors<br> 7) Daily covariate information: coffee and alcohol intake, eating, smoking, vigorous exercise<br> 8) Blood pressure measurements<br> 9) Heart rate variability recording<br> 10) Exhaled nitric oxide measurements<br> 11) Pulmonary function testing (spirometry)<br> 12) Comments The questionnaire is also available in German under the same DOI. Please note that this questionnaire was administered electronically on a tablet, and contains: Form logic, which determines the relevance of some questions based on previous answers. Affected questions are typically shown in grey color. Instructions (in bold blue font) to the participant/study nurse to guide the process of data collection (e.g. “please hand over the tablet to the participant/nurse”). Warnings (in large red font) and directions (in large grey font) to warn nurses against performance of spirometry measurements if contraindications were present. For example, when the nurse entered high blood pressure in Topic #8, or when recent surgery was indicated in Topic #11. Warnings and directions also flag incidental findings (e.g., high blood pressure ≥160 mmHg (systolic) or ≥100 mmHg (diastolic) requiring urgent action.
description: The rationale and study design for the EPOCHAL project are published here: https://doi.org/10.3389/fpubh.2021.689248
description: {"references": ["https://doi.org/10.3389/fpubh.2021.689248"]}
DOI: 10.5281/zenodo.7716667
title: EPOCHAL (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms): Daily questionnaire (English and German)

description: This questionnaire was developed for the EPOCHAL study (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms). The study was sponsored and led by Swiss TPH in Basel, Switzerland and approved by the local ethics committee (Ethikkomission Nordwest- und Zentralschweiz EKNZ, project ID 2021-00151). Written informed consent was obtained from every participant prior to study inclusion. This is the "daily questionnaire" which was administered 10 times for each participant on different days during the pollen season. It includes questions about the following topics:<br> 1) Overall health status<br> 2) Allergic symptoms: nose, eyes, lungs<br> 3) Sleep, mood and quality of life<br> 4) Medication use<br> 5) Time spent outdoors<br> 6) Daily covariate information: coffee and alcohol intake, eating, smoking, vigorous exercise<br> 7) Blood pressure<br> 8) Comments The questionnaire is also available in German under the same DOI. Please note that this questionnaire was administered electronically in a browser, and contains: Form logic, which determines the relevance of some questions based on previous answers. Affected questions are typically shown in grey color.
description: The rationale and study design for the EPOCHAL project are published here: https://doi.org/10.3389/fpubh.2021.689248
description: {"references": ["https://doi.org/10.3389/fpubh.2021.689248"]}
DOI: 10.6084/m9.figshare.22289614
title: Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome

description: This is supplementary data files for the publication entitled ""Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome"
DOI: 10.6084/m9.figshare.25562709.v1
title: Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings - Data

description: Input data used and output data generated for our research paper