cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5118352
title: Supplementary data: "Revealing drivers and risks for power grid frequency stability with explainable AI"

description: This repository contains processed data and result files for the paper Revealing drivers and risks for power grid frequency stability with explainable AI. The code for producing the processed data and the results is available at github. <strong>Data</strong> For each area, the data folder contains the feature and target data used to train the ML model. <em>raw_input_data.h5</em><strong> </strong>:<strong> </strong>The aggregated external features without additional engineered features. <em>input_forecast.h5 </em>and<em> input_actual.h5: </em>The day-ahead available (forecast) and ex-post available (actual) data of external features including the engineered features. <em>outputs.h5 </em>: The grid frequency stability indicators. <em>version_2021-07-01</em>: Folder containing the training and test sets used for the results. <em>documentation_of_data_download</em><strong>: </strong>Plots and information files concerning the ENTSO-E raw data and its aggregation. <strong>Data sources</strong> The data for input features (<em>raw_input_data.h5, input_forecast.h5 </em>and<em> input_actual.h5</em>) is derived from ENTSO-E Transparency Platform data [1]. The target data (<em>outputs.h5</em>) is based on power grid frequency recordings from the German Transmission System Operator TransnetBW [2]. <strong>Results</strong> For each area and each target, the result folder comprises the results of hyper-parameter optimization, model prediction and interpretation via SHAP. The results refer to the full model and the restricted model (containing only day-ahead features). <em>cv_results_gtb_full.csv</em> and <em>cv_results_gtb_day_ahead.csv</em> : Performance results for each combination in the hyper-parameter grid search. <em>cv_best_params_gtb_full.csv</em> and <em>cv_best_params_gtb_day_ahead.csv</em> : Hyper-parameters used in the final (optimized) model. <em>shap_values_gtb_full.npy</em> and <em>shap_interaction_values_gtb_full.npy </em>: First-order SHAP values and second-order SHAP interaction values for the full model. <em>y_pred.h5</em> : Predictions of daily profile predictor, full model and day-ahead model. <strong>Disclaimer</strong> The data might be subject to copyright or related rights. Please consult the primary data owner.
description: {"references": ["[1] ENTSO-E Transparency Platform. https://transparency.entsoe.eu/ (Accessed on 01.07.2021)", "[2] TransnetBW GmbH. \"Netzfrequenz\". https://www.transnetbw.de/de/strommarkt/systemdienstleistungen/regelenergie-bedarf-und-abruf (accessed on 26.03.2020)"]}
DOI: 10.5281/zenodo.7249389
title: To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features - Dataset

description: This repository contains the reproduction steps and intermediate artifacts corresponding to the paper 'To Switch or not to Switch:<br> Predicting the Benefit of Switching between Algorithms based on Trajectory Features'. During the submission process, this repository is anonymized to our best ability. The file 'README' contains the description of which file contains what data, and how they correspond to different parts of the paper.
DOI: 10.5281/zenodo.7374849
title: Planetary boundary layer height (PBLH) over the SGP

description: Given the rapid change in clouds over land, radiosonde observations have limitations when it comes to tracking cloud development due to the coarse temporal resolution and drifting of the balloon. We thus developed a lidar-based method to identify the coupled states of clouds based on our new algorithm for retrieving the PBLH that can better track the diurnal variations in PBLH than conventional lidar-based approaches (Su et al., 2020). We adapted this algorithm for retrieving the PBLH and developed a new scheme to deal with cloudy conditions (Su et al., 2022). Following the original method (Su et al., 2020), the rainy cases are eliminated in the quality-control process. The quality-control flag is provided in the dataset file. Su, T., Zheng, Y. and Li, Z., 2022. Methodology to determine the coupling of continental clouds with surface and boundary layer height under cloudy conditions from lidar and meteorological data. Atmospheric Chemistry and Physics, 22(2), pp.1453-1466. Su, T., Li, Z. and Kahn, R., 2020. A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions. Remote Sensing of Environment, 237, p.111519.
description: If you have any questions or want to use this dataset in manuscripts/publications, please contact me (Email: tianning@umd.edu).
DOI: 10.5281/zenodo.7782826
title: Frictional Properties and Healing Behavior of Tectonic Mélanges: Implications for the Evolution of Subduction Fault Zones

description: Here, we report data from velocity-step experiments using rocks collected from ancient subduction fault zones, the Lower Mugi and Makimine mélanges of the Cretaceous Shimanto belt. The two mélanges preserve paleotemperature records corresponding to the updip and downdip limits of the seismogenic zone and deformation recording a lower versus higher degree of pressure solution. The compostions of the mélanges analyzed with X-ray diffraction (XRD) are also included in the datasets. Our data show that the Lower Mugi mélange sample exhibits velocity-weakening to velocity-neutral behavior under low normal stress, and the Makimine mélange sample shows velocity-strengthening behavior under high normal stress. This is consistent with the slip behavior observed at the depths they have been subducted to along the plate interface. We also perform a series of slide-hold-slide experiments under different hydrothermal conditions using the Lower Mugi mélange sample to evaluate the role of pressure solution in fault healing and its dependency on temperature. The results show that healing rates increase in tests operated at higher temperatures, which suggests the importance of pressure solution healing along plate interfaces.
DOI: 10.5281/zenodo.8253010
title: Penmanshiel wind farm data

description: This dataset contains: A kmz file for Penmanshiel wind farm in the UK (for opening in e.g. Google Earth) Static data including turbine coordinates and turbine details (rated power, rotor diameter, hub height, etc.) 10-minute SCADA and events data from the 14 Senvion MM82's at Penmanshiel wind farm, grouped by year from 2016 to mid-2021, which was extracted from our secondary SCADA system (Greenbyte). Note not all signals are available for the entire period, and there is no turbine WT03 Data mappings from primary SCADA to csv signal names Site substation/PMU meter data where available for the same period Site fiscal/grid meter data where available for the same period The dataset has been released by Cubico Sustainable Investments Ltd under a CC-BY-4.0 open data license and is provided as is. However, please provide any feedback you might have on the dataset and format of the data. Feel free to use the data according to the license, however, it would be helpful to me if you could let me know where, how and why you are using the data, so that I can highlight this to the business (and renewables industry) and hopefully promote similar data sharing initiatives. I am particularly interested in performance analysis/improvement opportunities, how the dataset can be augmented with other (open) datasets, and sharing more generally within the renewables industry. If you have any questions or want to discuss open data and this or other initiatives, please either: Contact me on LinkedIn, and I will endeavour to help Or in the WeDoWind platform in the ODE space I would like to thank Cubico's Senior Legal Advisor & Compliance Officer, IT Director, UK Asset Management Team, Executive Committee and my manager and team for supporting this initiative, as well as our partners GLIL for agreeing to release this data under an open license. I would also like to thank those I have talked to during the process of releasing this data under an open license and the encouragement and advice I have had on the way. You can also access data from Kelmarsh wind farm here.
DOI: 10.57780/sm1-e20cf57
title: SMOS L1 V724

description: SMOS L1 version 724
DOI: 10.6084/m9.figshare.12811685
title: Table 1: SB allele-specific tumor spectrum by whole-body, transposon-mediated mutagenesis in wild type mice.

description: <b>Table 1: SB allele-specific tumor spectrum by whole-body, transposon-mediated mutagenesis in wild type mice. </b>Distribution of cancer types between promoter-driven (SB-Onc3, SB-Onc2) and promoter-less (SB-Onc2.3) transposons.<b></b><br>Table for manuscript: Promoterless Transposon Mutagenesis Drives Solid Cancers via Tumor Suppressor Inactivation. 2020. Aziz Aiderus, Ana M. Contreras-Sandoval, Amanda L. Meshey, Justin Y. Newberg, Jerrold M. Ward, Deborah Swing, Neal G. Copeland, Nancy A. Jenkins, Karen M. Mann, and Michael B. Mann.
DOI: 10.6084/m9.figshare.21646715
title: Mechanically Triggered On-Demand Degradation of Polymers Synthesized by Radical Polymerizations

description: Raw data for "Mechanically Triggered On-Demand Degradation of Polymers Synthesized by Radical Polymerizations"
DOI: 10.6084/m9.figshare.26026441.v1
title: Single Interface and Photothermal Actuated Double Interface Fluid Lens Design Drawings

description: Engineering drawings for all parts used in the design of a pump-actuated single and photothermally actuated double interface fluid lens designs. Files are available as PDFs with all dimensions labelled in mm.
DOI: 10.7289/v5222rqp
title: NOAA Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 2.2-1 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This Climate Data Record (CDR) of monthly mean High Resolution Infrared Radiation Sounder (HIRS) Outgoing Longwave Radiation (OLR) flux at the top of the atmosphere in all sky conditions is on a 2.5 degree x 2.5 degree grid with global coverage from January 1979 to the present and continuing monthly. Grid dimensions are 144 x 72, with 10,368 total grids over the globe. The data set was derived using a multispectral HIRS OLR algorithm on the HIRS level 1b dataset from the TIROS-N to NOAA-19 series satellites with inter-satellite and radiance calibration adjustments employing an empirical diurnal model for the monthly mean derivation. The data file format is netCDF-4 with CF metadata, and it is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.
DOI: 10.15468/dl.h3jx9g
title: Occurrence Download

description: A dataset containing 95655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton perfoliatus L."
 ]
}

 The dataset includes 95655 records from 571 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287732-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yu2kw4
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Athyrium tokashikii)"
 ]
}

 The dataset includes 248 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009774-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30192667
title: Data set: Human motor and economic decisions show common risk-seeking bias under asymmetric gains

description: Data set of the motor aiming task and numeric aiming task
DOI: 10.6084/m9.figshare.30192667.v1
title: Data set: Human motor and economic decisions show common risk-seeking bias under asymmetric gains

description: Data set of the motor aiming task and numeric aiming task
DOI: 10.15468/dl.96jqf2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania carinata",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009773-250920141307145/datasets/export for details.
DOI: 10.17632/yz76xkw8xk
title: Survey Dataset on Web Accessibility for Persons with Visual Impairment on Destination Management Organization Websites

description: Means of Data Collection & Hypotheses: 
Data were collected from three primary sources: (i) students and research scholars affiliated with the Higher Education for Persons with Special Needs (HEPSN) Cell at Pondicherry University, Puducherry; (ii) trainers and trainees of the Karna Vidya Technology Centre (KVTC), Chennai; and (iii) employees engaged in accessibility research within leading software technology corporations in Chennai. A network sampling approach was employed to recruit participants.
Initially, the survey was administered using Google Forms. However, accessibility barriers soon emerged: several respondents submitted inconsistent responses, and after a few completions, the platform introduced CAPTCHA verification, which could not be completed independently by persons with visual impairment. To address these issues, the researcher subsequently collected data in person. Responses were directly recorded into Microsoft Excel to ensure accuracy and completeness.
The procedure involved sharing the questionnaire with participants via e-mail or portable drive. Before completing the survey, respondents were asked to browse the official state tourism website (VisitFlorida.com) for approximately 15–20 minutes, ensuring their responses reflected an authentic browsing experience.
Participation was voluntary, and eligibility criteria required that respondents be over 20 years of age, have a diagnosed visual impairment, and possess at least one year of experience using assistive technologies (e.g., screen readers). The questionnaire was administered in English, with clarifications provided verbally when requested. A total of 330 individuals were approached, of whom 265 provided usable responses, yielding an effective response rate of 80.3%. Data collection was carried out between June and August 2025.
Ethical Considerations.
This study was conducted independently and was not affiliated with any academic institution; therefore, no institutional review board approval was sought. Nonetheless, the research adhered to the ethical principles of the Declaration of Helsinki (2013 revision). All participants were informed about the purpose of the study, their voluntary participation, and their right to withdraw at any stage without disadvantage. Informed consent was obtained verbally prior to participation, which was considered appropriate given the accessibility needs of the population under study.
Hypotheses:
• H1: Usability (as a second-order construct comprising Website Design Quality, Content Readability, and Assistive Technology Compatibility) positively influences Perceived Web Accessibility (PWA).
• H2: Digital Literacy positively influences Perceived Web Accessibility (PWA).
• H3: Perceived Web Accessibility (PWA) positively influences Intention to Use Destination Management Organization (DMO) websites.
DOI: 10.17632/yz76xkw8xk.1
title: Survey Dataset on Web Accessibility for Persons with Visual Impairment on Destination Management Organization Websites

description: Means of Data Collection & Hypotheses: 
Data were collected from three primary sources: (i) students and research scholars affiliated with the Higher Education for Persons with Special Needs (HEPSN) Cell at Pondicherry University, Puducherry; (ii) trainers and trainees of the Karna Vidya Technology Centre (KVTC), Chennai; and (iii) employees engaged in accessibility research within leading software technology corporations in Chennai. A network sampling approach was employed to recruit participants.
Initially, the survey was administered using Google Forms. However, accessibility barriers soon emerged: several respondents submitted inconsistent responses, and after a few completions, the platform introduced CAPTCHA verification, which could not be completed independently by persons with visual impairment. To address these issues, the researcher subsequently collected data in person. Responses were directly recorded into Microsoft Excel to ensure accuracy and completeness.
The procedure involved sharing the questionnaire with participants via e-mail or portable drive. Before completing the survey, respondents were asked to browse the official state tourism website (VisitFlorida.com) for approximately 15–20 minutes, ensuring their responses reflected an authentic browsing experience.
Participation was voluntary, and eligibility criteria required that respondents be over 20 years of age, have a diagnosed visual impairment, and possess at least one year of experience using assistive technologies (e.g., screen readers). The questionnaire was administered in English, with clarifications provided verbally when requested. A total of 330 individuals were approached, of whom 265 provided usable responses, yielding an effective response rate of 80.3%. Data collection was carried out between June and August 2025.
Ethical Considerations.
This study was conducted independently and was not affiliated with any academic institution; therefore, no institutional review board approval was sought. Nonetheless, the research adhered to the ethical principles of the Declaration of Helsinki (2013 revision). All participants were informed about the purpose of the study, their voluntary participation, and their right to withdraw at any stage without disadvantage. Informed consent was obtained verbally prior to participation, which was considered appropriate given the accessibility needs of the population under study.
Hypotheses:
• H1: Usability (as a second-order construct comprising Website Design Quality, Content Readability, and Assistive Technology Compatibility) positively influences Perceived Web Accessibility (PWA).
• H2: Digital Literacy positively influences Perceived Web Accessibility (PWA).
• H3: Perceived Web Accessibility (PWA) positively influences Intention to Use Destination Management Organization (DMO) websites.
DOI: 10.17632/c82ghsrfgd
title: Metabolomic Profiling and Identification of Potential Biomarkers in Borrelia garinii-Induced Lyme Disease raw datas

description: A total of 120 SPF Balb/c mice were divided into eight groups (7, 15, 21, 30 days post infection) for both the experimental groups and the control groups, seven organ samples (heart, liver, spleen, lung, kidney, brain, and joint) were collected from each mice. Untargeted metabolomics sequencing was conducted at four different time points for seven organs from each mouse. Differential metabolites across seven organs were investigated through high-resolution gas chromatography-time of flight mass spectrometry (GC-TOF-MS). the heart, liver, spleen, lung, kidney, brain, and joint raw datas.
DOI: 10.17632/c82ghsrfgd.1
title: Metabolomic Profiling and Identification of Potential Biomarkers in Borrelia garinii-Induced Lyme Disease raw datas

description: A total of 120 SPF Balb/c mice were divided into eight groups (7, 15, 21, 30 days post infection) for both the experimental groups and the control groups, seven organ samples (heart, liver, spleen, lung, kidney, brain, and joint) were collected from each mice. Untargeted metabolomics sequencing was conducted at four different time points for seven organs from each mouse. Differential metabolites across seven organs were investigated through high-resolution gas chromatography-time of flight mass spectrometry (GC-TOF-MS). the heart, liver, spleen, lung, kidney, brain, and joint raw datas.
DOI: 10.15468/dl.zt7v4w
title: Occurrence Download

description: A dataset containing 62621 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad y distribución de las mariposas (Rhopalocera: papilionoidea) en la región occidental del estado de Morelos"
 ]
}

 The dataset includes 62621 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009767-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nmmmcd4mrp.1
title: DNS_Code

description: This code includes a DNS solver for simulating cavity and channel flow. The solver is written in Fortran. The inputs for the desired flow are set through an input file called input.ini, which includes the number of grid points, geometry length, Reynolds number, CFL and number of cores. The simulation output is in the form of files, including the instantaneous flow field, the time-averaged flow field and a file containing the velocity fluctuations with respect to time.
DOI: 10.17632/98kpkwy698
title: Meal images and carbohydrate content pr. meal

description: The dataset comprises 240 images of meals, fruits, and vegetables, with the composed meals representing common Nordic cuisine. The collection includes 120 images without a size reference and 120 images with a size reference included in the frame, where the size reference is a student ID or library card. Consequently, the dataset contains 60 images of composed meals and 60 images of various fruits and vegetables, with each image having an identical counterpart that includes the size reference. All images are labeled with a number from 1 to 60 for fruits and vegetables and 1 to 60 for composed meals. The images were captured by the four authors, each contributing 60 images, taken from a bird's-eye perspective to ensure the food items are clearly visible and properly framed. All images were shot using smartphones equipped with cameras of 12 megapixels or higher, maintaining consistent angles and distances for optimal clarity. A consistent setting with a uniform background and natural lighting to minimize external variables were used. The ingredients for the meals, as well as the fruits and vegetables, were all purchased from Danish supermarkets. Additionally, an accompanying dataset provides the calculated carbohydrate content of the meals, fruits, and vegetables, which can serve as a baseline value. Users of this dataset should be aware that the images are not 100% representative of real-world conditions.
To provide a detailed characterization of the composite meals, these are defined as meals consisting of a combination of mixed ingredients, where in many cases the individual components cannot be easily separated visually due to blending, layering, or integration during preparation (e.g., stews, or soups where ingredients are intermixed). However, some composite meals feature components that remain visually distinct and separable (e.g., plated dishes with side items like proteins, grains, and vegetables arranged separately on the plate). No strict rule was enforced requiring the separation of components; instead, the meals were prepared to reflect typical real-world presentations, allowing for natural variability in how ingredients are combined or displayed. This approach ensures the dataset captures a realistic spectrum of meal compositions, from fully integrated mixtures to those with discernible elements.
For fruits and vegetables only the edible portions are depicted in terms of quantity, aligning with the actual weight typically consumed by individuals (excluding non-edible parts such as cores, stems, pits, or peels).