cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22083446.v1
title: The Impact of Global Health Outreach Experiences on Medical Student Burnout

description: This is the dataset for a study that measured burnout among medical students attending a global health outreach trip over spring break compared to students completing other spring break activities. Burnout was measured with the Copenhagen Burnout Inventory 1 week before, 1 week after, and 10 weeks after spring break. Additional factors such as age, gender, class in school, prior international healthcare experience, quantity of weekly leisure time, and religious or spiritual identity were assessed.
DOI: 10.6084/m9.figshare.22304569.v3
title: data for SUNS2-ANE paper

description: Videos, masks, and processing results used in the SUNS2-ANE paper (<i>Accurate Neuron Segmentation Method for One-photon Calcium Imaging Videos Combining Convolutional Neural Networks and Clustering, </i>https://doi.org/10.1038/s42003-024-06668-7).The "data" folder includes the simulated videos used in Figure 2, the motion corrected videos of the Tenaspis dataset that we used in Figure 3, the cropped quarter-sized videos from the CNMF-E paper that we used in Figure 4, and the TUnCaT dataset that we used in Figure 5. The "data" folder also includes our manual segmentations of the videos.Our processing results are in the "results" folder, Users should copy them to the data folder if users want to plot figures without running the processing code themselves.
DOI: 10.6084/m9.figshare.24477076.v1
title: Soil pH and nutrients

description: Soil pH, organic and inorganic nutrients data from different crop rotation restoration years after cultivating <i>P</i><i>anax </i><i>quinquefolius</i>. CK, control soil with no ginseng cultivation history; A1, soil with 1-year post-ginseng rotation; A10, soil with 10-year post-ginseng rotation; A20, soil with 20-year post-ginseng rotation.
DOI: 10.6084/m9.figshare.25608162.v1
title: Supplementary Material for: Short-term Medication Effect on Fall Risk in Multimorbid Inpatients with Dementia

description: Introduction: Dementia increases the risk of falls and fall-related injuries, which may be caused by inappropriate medication use. To date, there is little evidence on which medications are more likely to cause falls. We therefore investigated the effects of medication use and medication changes 48 hours before falls in hospitalised patients with dementia. Methods: This matched case-control study included 74 patients with a mean age of 83 years (38% women) who had been hospitalised for at least 7 days. Information on medications, diagnoses, disease severity, use of walking aids, falls, and demographics was collected from electronic medical records. The effects of number of medications and psychotropics, equivalent daily doses of antidepressants, antipsychotics and benzodiazepines, anticholinergic burden, medication initiation, dose change, medication discontinuation, as-needed medications, opioid use and the presence of fall-increasing diseases were examined separately for the periods 0h-24h and 24h-48h before the falls using binomial logistic regression analyses. Results: Falls increased significantly with higher daily antipsychotic doses 24 hours before the fall. In addition, the rate of falls increased with higher anticholinergic burden and prevalence of medication discontinuation 24 to 48 hours before the fall. Notably, the total number of medications and psychotropic medications had no effect on the incidence of falls. Discussion/Conclusion: With regard to the short-term effects of medication on fall risk, particular attention should be paid to the daily dose of antipsychotics, anticholinergic burden and medication discontinuation. Further studies with larger samples are needed to confirm the results of this study.
DOI: 10.6084/m9.figshare.27307953.v1
title: Tabla 1.xlsx

description: La tabla 1 resume las distintas palabras claves utilizadas para la clasificación oferta formativa entre distintos subgrupos de habilidades digitales y habilidades verdes.
DOI: 10.6084/m9.figshare.28793912.v1
title: Supplementary Material for: Patient Experience with Health Technology in Saudi Arabia: A Systematic Review

description: Objective: This systematic review aimed to investigate the impact of health technology on patient experience in Saudi Arabia. Methods: The PubMed database was searched for relevant studies published between January 2000 and December 2022 using certain eligibility criteria. The quality of studies was assessed using the Joanna Briggs Institute critical appraisal checklist. Results: A total of 30 studies were included in this systematic review. Of the 30 studies, 25 were cross-sectional in design. Most of the studies focused on patient satisfaction as a primary indicator of patient experience with health technology. Notably, 93.3% of the included studies reported high patient satisfaction. Conclusion: The findings of this systematic review highlight the growing adoption of health technology in Saudi Arabia, indicating a commitment to improving access to healthcare and evaluating patient perspectives. Patient satisfaction with health technology was confirmed. Thus, investing in and endorsing health technologies can significantly improve patient experience.
DOI: 10.17605/osf.io/ysmah
title: OMeGA - Open Metadata Generator for the Social Sciences

description: OMeGA (Open Metadata Generator) is a conducted by the Bern University of Applied Sciences together with the University of Bern and the University of Fribourg. Financial support for this project is provided through the Swiss Open Research Data Grants by swissuniversities. The project develops a metadata generator platform that eases the generation of metadata for social scientists. As part of this project, one survey and one round of user testing were conducted. The open research data arising from these empirical investigations are shared here in the Open Science Framework.
DOI: 10.17632/3fg8khy6dp
title: CatFISH-derived data on neuronal activity patterns in several brain structures considering reward memory in rat

description: The main file, reward-memory.csv, collects raw results of the experiment seeking differences between a novel and consolidated association of spatial cues and amphetamine administration, using an in-situ hybridisation method to track the short-term dynamics during the recall testing. 
The data covers 16 rats, 8 with recent and 8 with remote spatial-amphetamine association at the moment of data acquisition (Memory column).

CatFISH method applied here allowed us to capture brain activity at two time points corresponding to two entries into the experimental cage.
The activity is given for 14 brain structures: BLA – basolateral amygdala; CeA – central amygdala; LA – lateral amygdala; CA1 – hippocampus CA1; CA3 – hippocampus CA3; CPu – caudate putamen; DG – dentate gyrus; IL – infralimbic cortex; NAcc core – nucleus accumbens core; NAcc shell – nucleus accumbens shell; PrL – prelimbic cortex; RSA – agranular retrosplenial cortex; RSG – granular retrosplenial cortex; VTA – ventral tegmental area; and as 4 descriptors: any – fraction of nuclei active at any entry; 1st – fraction of nuclei active at the first entry; 1st exclusively – fraction of nuclei active at first entry but not at the second; 2nd – fraction of nuclei active at the second entry; 2nd exclusively – fraction of nuclei active at second entry but not at the first; both – fraction of nuclei active at both; co-localisation – coefficient of co-localisation, equal to both/(1st * 2nd).

Additionally, the data contains columns describing behavioural propensity towards the conditioned area of the experimental cage, Correct 1st and Correct 2nd.

The second file, suppressed-cea-bhv.csv, collects results of a supplementary experiment, following the same protocol as for remote recall, but using further 17 rats. In eight of them CeA was selectively suppressed during training with a chemogenetic modification, while the rest were left as controls. The data set contains the correctness scores obtained in the same way as in the main experiment, as well as the number of 50 kHz-band ultrasonic vocalisation episodes identified during training.
DOI: 10.6084/m9.figshare.12896720.v1
title: Data Set - LARS 2019

description: This is the data set used for training, testing and validating the neural networks discussed on a paper submitted to LARS (Latin American Robotics Symposium).
DOI: 10.6084/m9.figshare.14288087.v1
title: Agrometeorological models for groundnut crop yield forecasting in the Jaboticabal, São Paulo State region, Brazil

description: ABSTRACT Forecast is the act of estimating a future event based on current data. Ten-day period (TDP) meteorological data were used for modeling: mean air temperature, precipitation and water balance components (water deficit (DEF) and surplus (EXC) and soil water storage (SWS)). Meteorological and yield data from 1990-2004 were used for calibration, and 2005-2010 were used for testing. First step was the selection of variables via correlation analysis to determine which TDP and climatic variables have more influence on the crop yield. The selected variables were used to construct models by multiple linear regression, using a stepwise backwards process. Among all analyzed models, the following was notable: Yield = - 4.964 x [SWS of 2° TDP of December of the previous year (OPY)] - 1.123 x [SWS of 2° TDP of November OPY] + 0.949 x [EXC of 1° TDP of February of the productive year (PY)] + 2.5 x [SWS of 2° TDP of February OPY] + 19.125 x [EXC of 1° TDP of May OPY] - 3.113 x [EXC of 3° TDP of January OPY] + 1.469 x [EXC of 3 TDP of January of PY] + 3920.526, with MAPE = 5.22%, R2 = 0.58 and RMSEs = 111.03 kg ha-1.
DOI: 10.6084/m9.figshare.27188328.v1
title: <i>Mycena subfragosa</i> aligment

description: <i>Mycena subfragosa sp. nov.</i>
DOI: 10.6084/m9.figshare.27908196.v1
title: <b>Research on Differential Genes in Rheumatoid Arthritis Synovium Based on Multiple Machine Learning Algorithms</b>

description: <b>Research on Differential Genes in Rheumatoid Arthritis Synovium Based on Multiple Machine Learning Algorithms</b>
DOI: 10.6084/m9.figshare.28598129.v1
title: Supplementary files for Singh et al. (2025)

description: Bees are a well-studied group of pollinating insects that vary widely in the number of plants that they collect pollen from. We explored whether specialized and generalized pollen diets were associated with the evolution of three families of olfactory receptor genes, a set of proteins that are crucial components of the peripheral olfactory systems of insects. We found that pollen specialization in bees requires the diversification of existing genes while dietary generalization is associated with losses of odorant receptor genes.
DOI: 10.6084/m9.figshare.29077076.v1
title: R code and input files for Haplotype and Nucleotide Diversity Indices calculation

description: We used sequences to answer our third objective relating to the genetic diversity of bullfrogs in New Mexico. We used the following R code and input files to calculate genetic diversity indices including haplotype and nucleotide diversity to compare New Mexico diversity of bullfrog populations by site to the native range.
DOI: 10.6084/m9.figshare.5955643.v1
title: Paroedura_picta_gene.v1.cds.fa

description: The coding nuceotide sequences of the predicted genes in the Madagascar ground gecko (<i>Paroedura picta</i>) genome assembly.
DOI: 10.6084/m9.figshare.c.3471585_d53.v1
title: Hyytiälä, Finland, aerosol chemical composition, 2012-2014

description: aerosol chemical composition, Hyytiälä, Finland, 2012-2014
DOI: 10.6084/m9.figshare.24269053.v1
title: Ecological niche models

description: Ecological niche models
DOI: 10.6084/m9.figshare.25492951.v1
title: Item Spreadsheet

description: Spreadsheet used with the information about papers
DOI: 10.6084/m9.figshare.28936556.v1
title: data(Artificial Intelligence Models in Predicting the Efficacy of Remimazolam Anesthesia in Pelvic Organ Prolapse Surgery).xlsx

description: AI models, particularly the RF model, demonstrated strong predictive ability for postoperative pain following remimazolam anesthesia in POP surgery. These models could aid in personalizing anesthesia management, improving patient outcomes, and optimizing clinical decision-making. Further validation in larger, multi-center prospective studies is needed before clinical implementation.
DOI: 10.6084/m9.figshare.3504359.v1
title: Seekonk, Massachusetts - Aerial imagery object identification dataset for building and road detection, and building height estimation

description: This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413. Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).
DOI: 10.6084/m9.figshare.3971721.v1
title: Bird diversity dataset.csv

description: <b>Methods</b> This dataset was collected on September 29, 2016 at approximately 4pm, in the Dandy grasslands and woodlot near York University. The weather for the day of sampling was 15°C with light rain (Rain:<b> </b>1-3 mm Wind: 20 km/h E Wind gust: 30 km/h Humidity<b>:</b> 82). In each habitat type, five different 10 m transects were placed in randomly chosen spots. The number of bird sightings in a one minute interval was recorded for each transect. Wind intensity for each transect was estimated on a scale from 1 to 5, 5 being the most intense. Wind speed and weather information for the general area was obtained from the website https://www.theweathernetwork.com/ca/weather/ontario/north-york at the time of sampling. The number of different bird species and the distance from the transect was also estimated for each sighting. <b>Hypothesis</b> Wind intensity has an impact on the number of birds that are active. <b>Predictions</b> 1) There will not be many birds active due to the high wind intensity. 2) There will be a low diversity of bird species, because smaller birds may have difficulty navigating in strong winds. 3) There will be a higher abundance of flying birds in the open area (grasslands) than in the woodlands at the time of sampling, due to the fact that most birds are diurnal.
DOI: 10.6084/m9.figshare.4652608.v1
title: 5-guild riparian flow-population model

description: This code accompanies: Lytle, D. A., D. M. Merritt, J. D. Tonkin, J. D. Olden, and L. V. Reynolds. (2017). Linking river flow regimes to riparian plant guilds: a community-wide modeling approach. <i>Ecological Applications.</i> For code to run, it requires the accompanied 'Maybell.csv' file in the same directory.
DOI: 10.6084/m9.figshare.7755956.v1
title: Additional file 2: of Parental digital health information seeking behavior in Switzerland: a cross-sectional study

description: Table S1. Explorative ordered regression analyses. (XLSX 29 kb)
DOI: 10.17632/3ggss5jgcr
title: Data MENA

description: This data file includes raw data for renewable energy, fossil fuel consumption, renewable energy transition, urbanization, and GDP per capita from 2001-2023.
DOI: 10.6084/m9.figshare.11317961.v1
title: Drosophila suzukii tritrophic system

description: Research data used in the publication: Trichopria drosophilae parasitizes Drosophila suzukii in seven common non-crop fruits. Journal of Pest Science.<br>
DOI: 10.6084/m9.figshare.13550027.v1
title: dataset.xlsx

description: This data set is related to the inputs and outputs of hospitals in Kerman province. In this data set, there are 3 inputs and 2 outputs for 4 years.
DOI: 10.6084/m9.figshare.8325182.v1
title: Supplementary Material for: Extract of<b><i> Helicobacter pylori</i></b> Ameliorates Parameters of Airway Inflammation and Goblet Cell Hyperplasia following Repeated Allergen Exposure

description: <b><i>Background:</i></b> An inverse relation between <i>Helicobacter pylori</i> infection and asthma has been shown in epidemiological studies. Infection with <i>H. pylori</i>, or application of an extract of it before or after sensitization, inhibits allergic airway disease in mice. <b><i>Objectives:</i></b> The aim of this study was to investigate the effect of an extract of <i>H. pylori</i> on allergic airway disease induced by repeated allergen exposure in mice that were sensitized and challenged prior to extract application. <b><i>Method:</i></b> C57BL/6 mice were intranasally (i.n.) sensitized and challenged with house dust mite (HDM). After a minimum of 4 weeks, mice received the <i>H. pylori</i> extract intraperitoneally and were rechallenged i.n. with HDM. Allergen-specific antibodies were measured by ELISA. Cells present in the bronchoalveolar lavage fluid and dendritic cell (DC) subsets in the lung tissue were analyzed by flow cytometry. Tissue inflammation and goblet cell hyperplasia were assessed by histology. Cells of the mediastinal lymph node (mLN) were isolated and in vitro restimulated with HDM or <i>H. pylori</i> extract. <b><i>Results:</i></b> Treatment with <i>H. pylori</i> extract before rechallenge reduced allergen-specific IgE, the DC numbers in the tissue, and goblet cell hyperplasia. Cells isolated from mLN of mice treated with the extract produced significantly more IL-10 and IL-17 after in vitro restimulation with HDM. mLN cells of <i>H. pylori-</i>treated mice that were re-exposed to the <i>H. pylori</i> extract produced significantly more interferon gamma. <b><i>Conclusions:</i></b> An extract of <i>H. pylori</i> is effective in reducing mucus production and various features of inflammation in HDM rechallenged mice.
DOI: 10.1184/r1/7335962.v1
title: Mobile Aerosol Mass Spectrometer (AMS) Data for CACES

description: This item contains aerosol mass spectrometer (AMS) data collected as part of CACES in Pittsburgh, PA and Oakland, CA. The data files for each city include PM species (organics, sulfate, nitrate, etc) as well as PMF-resolved organic aerosol factors for traffic, cooking, and other sources.
DOI: 10.17632/jmhr42p7sf
title: Advanced Gas Detection and Classification using MQ Series Sensors Integrated with Machine Learning and Deep Learning Techniques

description: The dataset focuses on gas detection using MQ series gas sensors in conjunction with machine learning and deep learning models. Data were collected using a setup of MQ gas sensors (MQ-135, MQ-5, MQ-6) connected to an Arduino UNO microcontroller. The sensors were simulated using Proteus software, allowing them to detect gases such as ammonia, carbon dioxide, benzene, natural gas, carbon monoxide, and liquefied petroleum gas (LPG). The data from these sensors were transmitted to a LabView GUI for visualization and storage, and the final dataset was saved in CSV format, containing time-series data with sensor readings and corresponding timestamps.

The data collection spanned a 10-day period in March 2023, generating time-series data from six MQ series gas sensors, labeled as Gas1 to Gas6. Each row in the dataset represents a specific timestamp, along with the raw outputs of each sensor and their corresponding gas concentration values in parts per million (PPM). In total, the dataset includes 100,422 samples, each labeled with a "Class" indicator to show the presence or absence of specific gases. The data underwent preprocessing steps, including outlier removal and scaling, to ensure its accuracy and reliability for further analysis.
DOI: 10.25452/figshare.plus.23982288.v1
title: BlackCeTrends project Dataset supporting the paper "Validation of the F-POD – a fully automated cetacean monitoring system".

description: BlackCeTrends - Large coverage initiative for acoustic survey of cetaceans in the Black Sea An international project “BlackCeTrends” has been launched, in which six institutions from all around the Black Sea: Mare Nostrum NGO (Romania), Green Balkans NGO (Bulgaria), UkrSCES & BioEcoLinks (Ukraine), Turkish Marine Research Foundation TUDAV (Turkey) and Ilia State University (Georgia), together with British acoustic device manufacturer Chelonia Ltd. with the objective of assessing the trends in Black Sea cetaceans using a passive acoustic monitoring method. The main activity of the project is collection of acoustic data to understand the presence of cetaceans, especially harbour porpoises, by deploying fully automated passive acoustic monitoring instruments of the new generation, F-PODs. F-PODs are provided for free for a permanent loan as long as they are in use by Chelonia Ltd. They are designed specifically to detect and record the high-frequency sounds of dolphins and porpoises, and they were newly developed from C-PODs, which have been extensively used in the North and Baltic Seas. The collected data are downloaded periodically, approximately every 1-4 months, and the results are processed by specialized software. Four or five devices have been provided to each of the partners, of which nine are already in place, in the western part of the Black Sea (Figure 1) and all the others will be deployed in the near future.
DOI: 10.6084/m9.figshare.11351981.v1
title: Identification and functional characterization of the <i>Aux/IAA</i> gene <i>VcIAA27</i> in blueberry

description: <i>Aux/IAA</i> genes are an important class of players in diverse developmental processes in plants, which generally exert their functions through the auxin signaling pathway. Blueberry is an economically and nutritionally important berry-bearing crop. However, <i>Aux/IAA</i> genes remain unknown in blueberry. In the present study, an <i>Aux/IAA</i> gene (<i>VcIAA27</i>) was identified and characterized in blueberry, and it is most closely related to IAA27 in other plant species. Expression analysis indicated that <i>VcIAA27</i> transcripts accumulate highly in shoot, flower and fruit. Interestingly, <i>VcIAA27</i> was highly expressed at early fruit developmental stages, and dramatically decreased from the onset of fruit ripening, implying that <i>VcIAA27</i> possibly plays important roles during fruit enlargement. Meanwhile, the analysis of promoter activity in Arabidopsis showed that strong GUS signal was detected in the trichome and hydathodes of leaves, receptacle of silique, and lateral roots of seedling. Overexpression of <i>VcIAA27</i> in Arabidopsis leads to auxin-related defects such as downward-curled leaves, short or sterile siliques, shorter stature, and more shoot branches. Moreover, qPCR analysis indicated that <i>VcIAA27</i> is able to alter the expression patterns of the auxin-related genes <i>BRU6, SAG13, SAUR26</i> in Arabidopsis, suggesting that <i>VcIAA27</i> might be negatively involved in the auxin signaling pathway. The findings will greatly contribute to future investigation of <i>Aux/IAA</i>-mediated mechanisms that control blueberry development, especially fruit development and ripening.
DOI: 10.6084/m9.figshare.29107655.v1
title: Human land-use systems promote range expansion of soil protists from temperate to subtropical regions in China

description: Human land-use systems promote range expansion of soil protists from temperate to subtropical regions in China