cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26386195
title: Data for The usefulness of a rehabilitation program for people with stress-related disorders: A case study from a rehabilitation center in Estonia

description: <b>Method:</b> A qualitative approach was used.<b>Methodology:</b> The sample included 10 individuals recruited from various rehabilitation centers in Estonia. Convenience sampling was used to select participants for this research. Open- and closed-ended questions were formulated using the 12 questions enclosed in this research. All transcribed interviews were formatted using the code. Extract codes within participant interviews were compared to identify similarities, differences, and closeness, and therefore formulated categories.<b>Ethics and consent: </b>Participants were informed verbally and with written consent according to their level of understanding of the aims of the research. They received a clear conception of the research study guidelines and provided informed consent in writing that their presence depended on their willingness, to participate as attendees. Participants were aware that their information might be published, but their names, ages, and addresses would not be published by any means of this research. Their data will be kept in a safe and secure place, and there is no chance of breaking confidentiality and anonymity. The notes, transcripts, and voice recorders were not shared or discussed with others. The Author provided consent from the organization manager where the interview took place and assured clients that the subjects of this study were completely voluntary and could deny any questions or withdraw at any time during the interview process. After obtaining consent from the clients, the author interviewed them.<br>
DOI: 10.6084/m9.figshare.26412901
title: Extended date: Questionnaire for the title of - The Usefulness of a Rehabilitation Program for People with stress-related disorders: A Case Study from a Rehabilitation Center in Estonia

description: <b>Method:</b> A qualitative approach was used.<b>Methodology:</b> The sample included 10 individuals recruited from various rehabilitation centers in Estonia. Convenience sampling was used to select participants for this research. Open- and closed-ended questions were formulated using the 12 questions enclosed in this research. All transcribed interviews were formatted using the code. Extract codes within participant interviews were compared to identify similarities, differences, and closeness, and therefore formulated categories.<b>Ethics and Consent: </b>Participants were informed verbally and with written consent according to their level of understanding of the aims of the research. They received a clear conception of the research study guidelines and provided informed consent in writing that their presence depended on their willingness, to participate as attendees. Participants were aware that their information might be published, but their names, ages, and addresses would not be published by any means of this research. Their data will be kept in a safe and secure place, and there is no chance of breaking confidentiality and anonymity. The notes, transcripts, and voice recorders were not shared or discussed with others. The Author provided consent from the organization manager where the interview took place and assured clients that the subjects of this study were completely voluntary and could deny any questions or withdraw at any time during the interview process. After obtaining consent from the clients, the author interviewed them.<br>
DOI: 10.6084/m9.figshare.917169
title: On the improvement of the control force readiness students engaged arm sport

description: Purpose: To identify the most informative tests and test exercises to assess force readiness athletes. Material: The study involved 23 students of mass sports categories. Ascertaining experiment involved testing athletes force readiness, analysis of their competitive activity and determination of strength and reliability of correlation tests with the results of the competition. There were 19 trials and two anthropometric measurements. Results: It was found that traditional tests to determine the strength abilities athletes enough authentic. A significant positive correlation with the results of competitive activity indicators carpal dynamometry ( in two different weight classes, and on both hands in the categories of more than 85 kg. ) And pull-ups on the maximum number of times. A high degree of correlation between the results of competitive activity and holding a dumbbell on a special bench capture below. This exercise is effective for assessing the level of preparedness of special strength in the weight category up to 80 kg and 85 kg. Conclusions: the most informative tests and benchmarks to determine the exercise of power readiness 1-2 athletes in sports categories arm sport.
DOI: 10.7295/w9cil54816
title: CIL:54816, Homo sapiens Linnaeus, 1758, epithelial cell
DOI: 10.1594/pangaea.972146
title: High-resolution atmospheric CO2 records derived from the EPICA Dome C ice core covering 260-190ka (MIS 8a - 7a)

description: High-resolution atmospheric carbon dioxide (CO2) records derived from the European Project for Ice Coring in Antarctica (EPICA) Dome C ice core covering Marine Isotope Stage (MIS) 8a - 7a (~260 - 190 ka). The CO2 data were measured at an average temporal resolution of ~340 years using the Ball Mill dry-extraction system at the Institut des Géosciences de l'Environnement (IGE), Univ. Grenoble Alpes, France. The CH4 data were measured at IGE, improving the temporal resolution of existing data previously published by the same laboratory and the Bern laboratories during three specific time periods of MIS 8a - 7a (201.9 - 200.9 ka; 204.1 - 205.9 ka; 249.6 - 250.4 ka).
DOI: 10.1594/pangaea.972147
title: High-resolution atmospheric CH4 records derived from the EPICA Dome C ice core covering 260-190ka (MIS 8a - 7a)

description: High-resolution atmospheric methane (CH4) records derived from the European Project for Ice Coring in Antarctica (EPICA) Dome C ice core covering Marine Isotope Stage (MIS) 8a - 7a (~260 - 190 ka). The CO2 data were measured at an average temporal resolution of ~340 years using the Ball Mill dry-extraction system at the Institut des Géosciences de l'Environnement (IGE), Univ. Grenoble Alpes, France. The CH4 data were measured at IGE, improving the temporal resolution of existing data previously published by the same laboratory and the Bern laboratories during three specific time periods of MIS 8a - 7a (201.9 - 200.9 ka; 204.1 - 205.9 ka; 249.6 - 250.4 ka).
DOI: 10.21947/2432461
title: Processed Data Reformatted

description: These are the processed reformatted data from HRRR converted into power
DOI: 10.24432/c5h31z
title: Estimation of Obesity Levels Based On Eating Habits and Physical Condition
DOI: 10.25381/cput.24590862.v1
title: Comparative analysis of explainable deep learning models for identification of plant nutrient deficiencies

description: Ethics Reference no: 214011097/2022/21Essential mineral nutrients play a crucial role in the growth and survival of plants. The lack of nutrients in plants threatens global food security and affects farmers who solely depend on producing healthy crops. Traditionally the identification of nutrient deficiencies in a crop is done manually by experienced farmers. Deep learning (DL) has shown promise in image classification. However, the lack of understanding regarding the accuracy and explainability of specific DL models for the identification of plant nutrient deficiencies is a hindrance to making informed decisions about the suitability of these algorithms for practical implementation. The study used two plant datasets: rice and banana. The three DL models were a Convolutional Neural Network (CNN), and two pre-trained models: Inception-V3 and Visual Geometry Group (VGG-16). For the explainability of the models, the study used two XAI techniques: Shapley Additive exPlanations (SHAP) and Gradient-weighted Class Activation Mapping (Grad-CAM). The study found that the choice of DL models has a significant impact on the performance of nutrient deficiency identification in different plant datasets.
DOI: 10.25522/manifesto.mpds.2016a
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25549/hancock-c82-19573
title: Catalogue of the polychaetous annelids of the world : supplement, 1960-1965, and index
DOI: 10.34681/qfeh-dg67
title: National Child Welfare Workforce Institute (NCWWI) Comprehensive Organizational Health Assessment

description: The growing complexities of child welfare work require the skills of a high-performing and effective workforce that not only has the competencies to do this difficult work, but the resiliency to thrive in a high-pressure agency environment. The National Child Welfare Workforce Institute (NCWWI) is funded by the Children's Bureau to increase child welfare practice effectiveness through workforce systems development, organizational interventions, and change leadership. The data archived here come from the NCWWI Workforce Excellence (WE) initiative. As part of the initiative, child welfare staff from three sites completed a baseline and follow-up Comprehensive Organizational Health Assessment (COHA) to identify critical workforce strengths and challenges. The first site included a county-administered public child welfare system in a large, urban metropolitan area. The other two sites were state-administered public child welfare systems in two Midwestern states. Baseline assessments were completed by 2,832 participants between July, 2014 and July, 2015 and follow-up assessments were completed by 2,912 between November, 2017 and February, 2019. Both assessments were completed by 1,034 participants. The COHA consisted of 335 closed-ended items and covered the following domains: individual level factors (self-efficacy, job satisfaction, intent to stay, secondary trauma, burnout, coping skills, and time pressure), unit-level factors (supervision, professional sharing/support, team cohesion, and shared vision), and organizational factors (psychological climate, leadership, physical environment, inclusivity, readiness for change, public perceptions of child welfare, and community resources).
DOI: 10.5281/zenodo.10960263
title: Greenhouse gas (GHG) during the Atmospheric Research Expedition to Abu Dhabi (AREAD)
DOI: 10.5281/zenodo.12732615
title: Citizen Science Reports on Aurora Sighting and Technological Disruptions during the 10 May 2024 Geomagnetic Storm – ARCTICS Survey

description: The geomagnetic storm that began on 10 May 2024 provided stunning auroral displays observed worldwide. This dataset contains data collected via an online survey designed and distributed by the "Auroral Research Coordination – Towards Internationalised Citizen Science" (ARCTICS) collaboration sponsored by the International Space Science Institute (ISSI) in Bern, Switzerland (see https://collab.issibern.ch/arctics/). A total of 696 observers from over 30 countries filled in the survey and reported on aurora sightings and experienced disruptions in technological systems during the superstorm.

The dataset consists of two data files in the CSV format and a text file providing a detailed description of the data. The collected data have been anonymised and pre-processed to obtain a homogeneous data set.

Dataset associated with the egusphere-2024-2174 preprint by Grandin et al. ("The geomagnetic superstorm of 10 May 2024: Citizen science observations"), submitted to Geoscience Communication.
DOI: 10.5281/zenodo.13231638
title: Attributing human mortality from fire PM2.5 to climate change

description: The dataset and scripts are for reanalysis the paper: Attributing human mortality from fire PM2.5 to climate change. 

The script is written in MATLAB. see Readme.txt and FireMort_SI_re.mlx for detail.  

Unzip files and make the folder (/Input, /Output, /Major_input, /Minor_input). 

Some original dataset (which can be directly driven from ISIMIP repository) were not included. 

If you need more information, please contact Chaeyeon Park (email- park.chaeyeon@aist.go.jp, or chaeyeon528@gmail.com)
DOI: 10.5281/zenodo.6982805
title: JARVIS-MoCap monkey grasping recordings and annotations

description: 12 camera synchronized recording of a rhesus macaque grasping different objects and fruit with his left hand. Included in the dataset are checkerboard calibration recordings, one 12 camera recording and a trainingset containing roughly 3000 manual annotations of 23 hand keypoints.
DOI: 10.5281/zenodo.7055698
title: Joint Optimization of Production and Maintenance for Cost-effective Manufacturing and Demand Response Participation Dataset - Energy Cost Optimization with Energy Selling

description: Using the previous dataset at &lt;https://zenodo.org/record/4106746&gt; an energy cost optimization considering the presence of an energy buyer is proposed to validate the scheduler’s ability to maximize profits while also minimizing energy costs. The scenario considers an added sales value corresponding to 50% of the buying. For this scenario, the genetic algorithm was executed for 2 hours, with 1 and 0 for the optimization weights total cost and machine occupancy deviation, respectively. File Description: Input_JSON_Energy_Cost_Energy_Selling_Optimization - JSON input data for the energy cost optimization with energy selling Output_JSON_Energy_Cost_Energy_Selling_Optimization - JSON output data for the energy cost optimization with energy selling Output_Statistics_Energy_Cost_Energy_Selling_Optimization - Excel output energy cost optimization with energy selling statistics
DOI: 10.5281/zenodo.7697253
title: Comparison of high-resolution global canopy height maps and their applicability to biodiversity modelling - dataset

description: This repository was created to provide datasets related with an article comparing high-resolution global canopy height maps and exploring their applicability to biodiversity modeling in temperate biomes. EBR stands for Entlebuch Biosphere Reserve, MRF stands for Mount Richmond Forest and TAW stands for Trinity Alps Wilderness. The original airborne laser scanning point clouds used for the generation of the canopy height models were sourced from the LINZ Data Service and OpenTopography, and licensed for reuse under the CC BY 4.0 licence (https://doi.org/10.5069/G97D2SB0); Federal Office of Topography swisstopo (https://www.swisstopo.admin.ch/en/geodata/height/surface3d.html); and U.S. Geological Survey (https://apps.nationalmap.gov/downloader/). The Global Forest Canopy Height Map - GFCH (Potapov et al. 2021; https://glad.umd.edu/dataset/gedi) and the high-resolution canopy height model of the Earth - HRCH (Lang et al. 2022, https://langnico.github.io/globalcanopyheight/) are provided free of charge, without restriction of use under Creative Commons Attribution 4.0 International License. Publications, models, and data products that make use of these datasets must include proper acknowledgement. <em>P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C.E. Silva, J. Armston, R. Dubayah, J. B. Blair, M. Hofton (2021) Mapping and monitoring global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165. https://doi.org/10.1016/j.rse.2020.112165</em> <em>Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2022). A high-resolution canopy height model of the Earth. arXiv preprint arXiv:2204.08322.</em> R scripts related with this datasets are available at Github (https://github.com/lukasgabor/Comparison-of-high-resolution-global-canopy-height-maps-and-their-applicability; DOI: 10.5281/zenodo.7332716) In the previous version (1.0) the average was calculated for the canopy height. In this version (1.1), the maximum height is calculated for the canopy height.
description: {"references": ["P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C.E. Silva, J. Armston, R. Dubayah, J. B. Blair, M. Hofton (2021) Mapping and monitoring global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165.\u00a0https://doi.org/10.1016/j.rse.2020.112165", "Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2022). A high-resolution canopy height model of the Earth. arXiv preprint arXiv:2204.08322."]}
DOI: 10.5281/zenodo.8193640
title: Use Case Colorblind Accessibility Experiment Data and Replication Materials

description: Use Case Colorblind Accessibility Experiment Data and Replication Materials
DOI: 10.5439/1350631
title: griddedsonde

description: ARM Instrument: Gridded Sonde VAP Product
DOI: 10.5883/bold:ads7116
title: Overview of Barcode Index Number - BOLD:ADS7116

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.20977585
title: Soil Characteristics

description: Measurements of soil characteristics for the 12 arctic sampling sites
DOI: 10.6084/m9.figshare.26879449.v1
title: Questionnaire and consent form.docx

description: This 'questionnaire and consent' document is provided as supplementary material for a manuscript submitted in F1000 Research titled 'Does cross-cultural adjustment affect employee work commitment? Assessing the role of work factors within selected mission hospitals in Kenya.'
DOI: 10.6084/m9.figshare.27079156
title: Supplementary Material for: A risk prediction model for new-onset chronic kidney disease in the elderly

description: Introduction: Worsening renal function poses a significant health risk to elderly individuals. This study aimed to construct a simple risk prediction model for new-onset chronic kidney disease (CKD) among elderly populations.
Methods: In this retrospective cohort study, 5,416 elderly residents (aged ≥ 65 years) who underwent physical examinations as part of the National Basic Public Health Service project at least twice between January 2017 and July 2021 were included. The endpoint was new-onset CKD, defined as an estimated glomerular filtration rate (eGFR) &lt; 60 mL/min/1.73 m² during the follow-up period. Predictors of new-onset CKD were selected using multivariable Cox regression and a stepwise approach. A risk prediction model based on the selected predictors was constructed and evaluated using the concordance index (C-index) and area under curve (AUC). External validation was conducted to verify the model’s performance.
Results: During the median follow-up period of 2.3 years, the incident of new-onset CKD was 20.1% (n = 1,088). Age, female gender, diabetes, elevated triglyceride levels, and baseline eGFR were selected as predictors. The model demonstrated good predictive performance across the cohort, with a C-index of 0.802. The AUCs for 2-year, 3-year, and 4-year predictions were 0.831, 0.829, and 0.839, respectively. External validation confirmed the model’s efficacy, with a 2-year AUC of 0.735. 
Conclusion: This study developed a simple yet effective risk prediction model for new-onset CKD among elderly populations. The model facilitates prompt identification of elderly individuals at risk of renal function decline in primary care, enabling timely interventions.
DOI: 10.11583/dtu.26732227
title: <b>Airborne </b>ellipsoidal elevations and derived snow depths from <b>Ka-, Ku-, C/S-band</b> and <b>lidar </b>observations along <b>CRYO2ICEANT22 </b>under-flight (13 December 2022) along co-located <b>CRYO2ICE </b>(CryoSat-2 and ICESat-2) observations of snow depth using <b>CryoTEMPO</b>, <b>FF-SAR</b> and <b>ESA-E</b> CryoSat-2 processing chains

description: <b>Description</b>Airborne multi-frequency altimetry observations (ellipsoidal heights) computed using threshold-first-maxima-retracker-algorithm (TFMRA) at 40, 50 and 80%, maximum scattering, and peakiness (PEAK) and continous wavelet (CWT) re-trackers. Methodology is described in related publication (will be added once sent to review in EGUsphere). Airborne ellipsoidal heights are compared with airborne laser observations (swath and nadir vertical profile) at both Ka-, Ku- and C/S-band. Furthermore, snow depth is derived using different combinations of re-trackers, and instruments. Furthermore, snow depth is derived from the near-coincident laser and radar satellite altimeters ICESat-2 and CryoSat-2 along a CRYO2ICE orbit (during the under-flight where the airborne observations were carried out). Here, three snow depth estimates are proposed computed using three different CryoSat-2 products. These are compared with other snow depth estimates from CASSIS and AMSR2 (check data availability statement in preprint). Finally, the airborne and CRYO2ICE snow depths are compared binned to the resolution of CRYO2ICE and to 25 km segments. <b>Files</b>kuband_20221213_02_74_232_002, kaband_20221213_02_74_232_002, and snow_20221213_02_74_232_002: ellipsoidal elevations derived using different re-trackers. Includes also additional waveform information available from the original data provided by CReSIS. df_airborne_roughness: data file including all relevant airborne ellipsoidal elevations after postprocessing including application of offset calibration, identification of nadir laser profile, and lead/floe discrimination of the observations. Snow depth using different re-trackers is also available."CRYO2ICE"-files: the estimates CRYO2ICE files + snow depth along satellites using three different CryoSat-2 products and the ICESat-2 ATL10 product. <b>Processing</b>Data produced using code provided at GitHub.
DOI: 10.17632/kyy8f8w79j.1
title: The first six principal components derived from eighteen environmental variables

description: This dataset contains the first six principal components from eighteen environmental variables for a region in a 250 km × 250 km region across central western Victoria, Australia. The resolution of the dataset is 1 km × 1 km. We used this dataset to create virtual species for experimental analyses in species distribution modelling.
DOI: 10.17632/pnbv5mpv87.1
title: Beveridge curve under endogenous separation model: The role of wage rigidity and match-specific productivity - Replication Files

description: These are the replication files for the results presented in the paper "Beveridge curve under endogenous separation model: The role of wage rigidity and match-specific productivity" authored by Tetsuaki Takano and forthcoming in Economic Modelling. For instructions on how to use these files, please read the README file that provides details of the MATLAB programs, how to run them, and the data files.
DOI: 10.17909/ghjp-t523
title: HST Data for 3C 220.3

description: 3C 220.3 HST data (F606W, F702W, F814W, and F160W). HAP data products were used for lens modeling, while HST products were used for photometry.