Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

4,871

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

4,871 results for “symptoms”

Learn how ShareScore rates datasets ↗
zenodo40/100

Raw dataset and additional data for article "Nonmotor symptoms associated with progressive loss of dopaminergic neurons in a mouse model of Parkinson's disease"

<p>Dataset from the project investigating the presence of nonmotor symptoms of Parkinson's disease in a mouse model of progressive loss of dopaminergic neurons&nbsp;(namely,TIF-IADATCreERT2&nbsp;strain). Mice&nbsp;were tested for executive and cognitive functions (males: Operant Sensation Seeking test, OSS; females: Probabilistic Reversal Learning Task in Intellicages), olfactory acuity (males: buried food test), saccharin preference (males and females), and motor performance (males and females: test using CatWalk apparatus).</p><p>The dataset includes files used to perform statistical analyses but their names may vary from the ones used in the scripts. For the purpose of recreating our analyses, please refer to the GitHub page, where both scripts and input data file names (in 'Raw data files' section) are compliant:&nbsp;https://github.com/annaradli/tif-pd-behavior.</p><p><strong>Description of files:</strong></p><p><i>Raw data files:</i></p><ul><li>animals_info.csv - animals data: genotype, sex, age, Intellicage tag identifier</li><li>catwalk_run_statistics_all_females.csv - data recorded in CatWalk apparatus for females</li><li>catwalk_run_statistics_all_males.csv - data recorded in CatWalk apparatus for males</li><li>females_weight_raw_data_revised.csv - females' body weight&nbsp; (revised for containing Polish words)</li><li>intellicage_raw_data.csv -&nbsp;data recorded in IntelliCage exported to .csv format</li><li>intellicage_raw_data_R.RData - data recorded in IntelliCage in .RData format</li><li>males_weight_raw_data.csv - males' body weight</li><li>olfactory_time_digging_raw_data.csv - time to start digging at the right place in the buried food test</li><li>olfactory_time_retrieve_raw_data.csv- time to retrieve cracker in the buried food test</li><li>oss_raw_data.csv - data recorded in the OSS test</li><li>saccharin_preference_males_raw_data.csv - saccharin preference test results for males</li><li>snvta_cells_count.csv - number of TH+ cells in SN and VTA in male mice (3+3) 14 weeks after tamoxifen treatment</li></ul><p><i>Additional data files:</i></p><ul><li>all_anova.xlsx - summary of two-way ANOVAs of all behavioral tests and weight measurements for males and females</li><li>catwalk_complete.xlsx - CatWalk complete dataset with datapoints</li><li>catwalk_correlation_between_paws.xlsx - correlation coefficients of CatWalk parameters between&nbsp;the&nbsp;left and right paws</li><li>catwalk_reduced.xlsx - CatWalk parameters used in linear regression model reduction of data</li><li>intelli.xlsx - IntelliCage data summarized in bins</li><li>oss.xlsx - operant sensation-seeking data</li></ul><p>v2 contains the&nbsp;corrected 'animals_info.csv' file without an unnecessary column.</p><p>v3 has a revised version of file containing females' weight measurements and also added a file with midbrain cell counts</p><p>v4 has a whole section of 'Additional data files' added</p>

opencc-by-4.0Nov 2023View details →
dryad40/100

The prevalence and correlates of depression and anxiety symptoms among older adults in Shenzhen, China

<p><strong>Objectives: </strong>To investigate the prevalence of depression and anxiety symptoms among older adults in an urban district in China, as well as their associated factors.</p> <p><strong>Participants:</strong> A total of 5,372 community-dwelling older adults aged 65 years or older were initially recruited. Ultimately, 5,331 participants met the inclusion criteria and were included in this study.</p> <p><strong>Methods:</strong> Participants completed a sociodemographic questionnaire, along with assessments including the Patient Health Questionnaire-9, Generalized Anxiety Scale-7, UCLA Loneliness Simplification Scale, Insomnia Severity Index Scale, Community Dementia Brief Screening Scale, and the 8-item Dementia Screening Questionnaire. Statistical analyses included the Shapiro‒Wilk test, independent t-test, Wilcoxon rank test, c<sup>2</sup> test, and univariate and multivariate linear regression analysis.</p> <p><strong>Results:</strong> The prevalence of depression and anxiety symptoms among older adults in Shenzhen communities was 10.4% and 11.3%, respectively. In multivariate analysis, age (B=-0.01, <em>P</em>&lt;0.05), relatively poor health status in the past year (B=1.00, <em>P</em>&lt;0.01), poor health status in the past year (B=2.40, <em>P</em>&lt;0.01), ISI score (B=0.21, <em>P</em>&lt;0.01), AD8 score (B=0.22, <em>P</em>&lt;0.01), ULS score (B=0.24, <em>P</em>&lt;0.01) were significantly associated with the severity of depression symptom, Compared to their respective reference categories, relatively poor health status in the past year (B=0.50, <em>P</em>&lt;0.01), poor health status in the past year (B=1.32, <em>P</em>&lt;0.01), ISI score (B=0.23, <em>P</em>&lt;0.01), sleep duration (B=0.05, <em>P</em>&lt;0.01), AD8 score (B=0.21, <em>P</em>&lt;0.01), CSID score (B=0.13, <em>P</em>&lt;0.01), ULS score (B=0.22, <em>P</em>&lt;0.01) were significantly associated with the severity of anxiety symptom.</p> <p><strong>Conclusions: </strong>We observed a high prevalence of depression and anxiety symptoms among older adults in this study. The existing welfare system and infrastructure should remain and targeted mental health programs addressing the identified risk factors should be proposed.</p>

opencc-zeroJan 2024View details →
zenodo40/100

HIV/AIDS-Depressive symptoms dataset

<p>There are 338 responses in the dataset.</p> <p>Respondents&#39; age were obtained.</p> <p>In Age_Range; 1=18 to 30 years, 2=31 to 40 years, 3=41 to 50 years, 4=Above 50 years.</p> <p>In Sex; 1=Male, 2=Female, 3=Transgender.</p> <p>In Education; 1=Illiterate, 2=Below secondary, 3=Undergraduate &amp; Above.</p> <p>In Occupation; 1=Unemployed / Housewife / Others, 2=Employed, 3=Student.</p> <p>In Religion; 1=Muslim, 2=Hindu.</p> <p>In Marital Status; 1=Married, 2=Unmarried, 3=Divorced or Separated.</p> <p>In Types of Family; 1=Nuclear, 2=Joint.</p> <p>In Family Size; 1=Single, 2=2 to 5 Members, 3=6 and Above.</p> <p>In Monthly Income; 1=Below 10000 BDT, 2=11000 to 20000 BDT, 3=21000 BDT and Above.</p> <p>In Alcohol_Consumption, Smoking_Habit, Drug_Abuse; 1=Yes, 2=No.</p> <p>In HIV_Infected_Duration &amp; Receiving HIV Treatment; 1=Below 1 years, 2=1 to 2 years, 3=More than 2 years.</p> <p>On the other hand, 21 items (Depression_1 to Depression_21) BDI-II (Beck Depression Inventory) scale was used to measure the depression level of the respondents, where 0= No Depression, 1=Mild Depression, 2= Moderate Depression &amp; 3=Severe Depression.</p>

opencc-by-4.0Dec 2021View details →
dryad40/100

Subtyping of common complex diseases and disorders by integrating heterogeneous data. Identifying clusters among women with lower urinary tract symptoms in the LURN study

<p>We present a methodology for subtyping of persons with a common clinical symptom complex by integrating heterogeneous continuous and categorical data. We illustrate it by clustering women with lower urinary tract symptoms (LUTS), who represent a heterogeneous cohort with overlapping symptoms and multifactorial etiology. Data collected in the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN), a multi-center observational study, included self-reported urinary and non-urinary symptoms, bladder diaries, and physical examination data for 545 women. Heterogeneity in these multidimensional data required thorough and non-trivial preprocessing, including scaling by controls and weighting to mitigate data redundancy, while the various data types (continuous and categorical) required novel methodology using a weighted Tanimoto indices approach. Data domains only available on a subset of the cohort were integrated using a semi-supervised clustering approach. Novel contrast criterion for determination of the optimal number of clusters in consensus clustering was introduced and compared with existing criteria. Distinctiveness of the clusters was confirmed by using multiple criteria for cluster quality, and by testing for significantly different variables in pairwise comparisons of the clusters. Cluster dynamics were explored by analyzing longitudinal data at 3- and 12-month follow-up. Five clusters of women with LUTS were identified using the developed methodology. None of the clusters could be characterized by a single symptom, but rather by a distinct combination of symptoms with various levels of severity. Targeted proteomics of serum samples demonstrated that differentially abundant proteins and affected pathways are different across the clusters. The clinical relevance of the identified clusters is discussed and compared with the current conventional approaches to the evaluation of LUTS patients. The rationale and thought process are described for the selection of procedures for data preprocessing, clustering, and cluster evaluation. Suggestions are provided for minimum reporting requirements in publications utilizing clustering methodology with multiple heterogeneous data domains.</p>

opencc-zeroJul 2022View details →
zenodo40/100

Supplement to: Enhanced surveillance of monkeypox in Bas-Uélé, Democratic Republic of Congo: the limitations of symptom-based case definitions

<p>This repository contains data and R code which are supplements to:</p> <p><em>Enhanced surveillance of monkeypox in Bas-U&eacute;l&eacute;, Democratic Republic of Congo: the limitations of symptom-based case definitions</em><br> Gaspard Mande, Innocent Akonda, Anja De Weggheleire, Isabel Brosius, Laurens Liesenborghs, Emmanuel Bottieau, Noam Ross, Guy Crispin Gembue, Robert Colebunders, Erik Verheyen Ngonda Daulya, Herwig Leirsh, and Anne Laudisoit (2022).</p> <p>A data dictionary and instructions for reproducing the analysis are provided.&nbsp; Details can be found in the README.md file.</p>

openmit-licenseMay 2022View details →
zenodo40/100

ICU post- discharge persistent symptoms, self-reported health and quality of life of COVID-19 survivors: A cohort study.

<p>&nbsp;</p> <p>Understanding the consequences and health impact of COVID-19 survivors discharged from the ICU is still unclear. The aim of this study was to investigated persistent symptoms, &nbsp;health satisfaction and health related quality of life (HRQoL) of patients that were hospitalized due COVID-19 infection after 30, 90 and 180 days from ICU discharge. This is a multicentric prospective cohort study of COVID-19 survivors discharged from 8 hospitals of Curitiba &ndash; Paran&aacute; (Brazil), between September 2020 and January 2022. Eligible COVID 19 survivors were contacted by phone and invited to answer telephone survey at 30, 90 and 180 days after ICU discharge. They responded a phone questionnaire to collect post-discharge clinical symptoms, and we also asked about health satisfaction and HRQoL. 62 COVID-19 survivors (51,6% males, mean age 50,3 years, median length of ICU stay of 13 days) responded to the telephone survey at 30, 90 and 180 days. The most persistent symptoms were fatigue (65,9%, 51,3%, 44,7%, respectively), mild dyspnea (42%, 31%, 29,8%, respectively) and myalgia (29%, 22,1%, 17%, respectively). Myalgia showed a significant reduction from 30 days to 180 days (p=0,034), and the number of symptoms also reduced significantly (30 to 90 days, <em>p=0.018</em>, 30 to 180 days<em>, p=0.001 </em>). At 30, 90 and 180 follow up days the most patients had reported &ldquo;good&rdquo; quality of life (59,7%, 62,9%, 51,6%, respectively), and &ldquo;satisfied&rdquo; with health (43,5%, 48,4%, 46,8%, respectively). We found that COVID-19 symptoms persist to 180 days, fatigue more commonly. Nevertheless, in this cohort study, most COVID-19 survivors reported good quality of life and were satisfied with health.</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Self-medication for anxiety symptoms in the context of COVID-19, in users who go to a drugstore in Los Olivos, Lima-2021

<p><strong>Background:</strong> To determine the relationship between self-medication and anxiety symptoms in the context of COVID-19, in users who go to a drugstore in Los Olivos, Lima 2021.</p> <p><strong>Methods:</strong> The research method was deductive, basic and with a quantitative approach; the design used was non-experimental, descriptive, correlational, cross-sectional, and prospective. Spearman&#39;s Rho analysis was performed to validate the hypothesis.</p> <p><strong>Results:</strong> 384 users were evaluated, finding 93.5% aged 18-59 years, of whom 53.4% were female, 42.7% had completed high school, 57.8% were single and 51.6% presented physical symptoms, preferably muscular tension accompanied by pain, 60.7% presented behavioral symptoms, highlighting unusual sadness in the face of COVID-19 and 70.1% presented cognitive symptoms with greater frequency of concern about contracting COVID-19. In addition, the greater the symptoms of anxiety, the higher the self-medication increased from 9.0% to 21.1%, a similar case was evidenced in self-medication on their own initiative where the increase was from 7.5% to 33.3%; likewise, self-medication without medical prescription increased from 15.8% to 47.7%, the consumption of anxiolytics or antidepressants increased from 0.8% to 26.3% caused by the symptoms of anxiety.</p> <p><strong>Conclusion:</strong> It was determined that there is a moderate relationship between self-medication and anxiety symptoms in the context of COVID-19, in users who go to a drugstore in Los Olivos, Lima 2021.</p> <p><strong>Keywords:</strong> Self-medication, prescription, anxiety, depression, COVID-19.</p> <p><strong>Background:</strong> To determine the relationship between self-medication and anxiety symptoms in the context of COVID-19, in users who go to a drugstore in Los Olivos, Lima 2021.</p> <p><strong>Methods:</strong> The research method was deductive, basic and with a quantitative approach; the design used was non-experimental, descriptive, correlational, cross-sectional, and prospective. Spearman&#39;s Rho analysis was performed to validate the hypothesis.</p> <p><strong>Results:</strong> 384 users were evaluated, finding 93.5% aged 18-59 years, of whom 53.4% were female, 42.7% had completed high school, 57.8% were single and 51.6% presented physical symptoms, preferably muscular tension accompanied by pain, 60.7% presented behavioral symptoms, highlighting unusual sadness in the face of COVID-19 and 70.1% presented cognitive symptoms with greater frequency of concern about contracting COVID-19. In addition, the greater the symptoms of anxiety, the higher the self-medication increased from 9.0% to 21.1%, a similar case was evidenced in self-medication on their own initiative where the increase was from 7.5% to 33.3%; likewise, self-medication without medical prescription increased from 15.8% to 47.7%, the consumption of anxiolytics or antidepressants increased from 0.8% to 26.3% caused by the symptoms of anxiety.</p> <p><strong>Conclusion:</strong> It was determined that there is a moderate relationship between self-medication and anxiety symptoms in the context of COVID-19, in users who go to a drugstore in Los Olivos, Lima 2021</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Delphi survey on clinical signs and symptoms at primary health facilities

<p>Data from a Delphi survey conducted among 30 primary health care workers in Tanzania.</p> <p>The Delphi survey was based on a recent Delphi study among international experts on predictors of sepsis in children under five and included questions about each clinical element based on three domains: 1. Reliability of measurement, 2. Frequency of finding an abnormal value, and 3. Level of training required. Additionally, availability of instruments to measure vital signs and other challenges in collecting each element were evaluated. The answers were classified using a 5-point Likert scale: minimal, moderate, high, not applicable, I don&rsquo;t know. The answer options for the availability of vital sign instruments were yes/no/I don&rsquo;t know. We also collected data on the professional background and expertise of the participants. </p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Pre-processed ex vivo MRI data for manuscript titled "Neuroanatomical and cognitive biomarkers of alpha-synuclein propagation in a mouse model of synucleinopathy prior to onset of motor symptoms""

<p>Repository for <em>ex vivo</em> magnetic resonance imaging data from the project&nbsp;titled &quot;Presymptomatic neuroanatomical and cognitive biomarkers of alpha-synuclein propagation in a mouse model of synucleinopathy&quot;</p> <p>Contains the pre-processed <em>ex vivo</em> T1-weighted images (Bruker 7T; 70&nbsp;micron isotropic voxel resolution) for M83 alpha-synuclein A53T hemizygous mice that received either a phosphate buffered saline (PBS) or alpha-synuclein pre-formed fibrils (PFF) injection in the right dorsal striatum. Full subject list can be viewed with the &quot;subject_list.csv&quot; file. More details are available in the manuscript.&nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Dataset from: "Assessment of depression, anxiety, and psychological symptoms in parents of pediatric palliative care patients: A single-center case-control study"

<p>The dataset comprises raw data from a case-control study that compared levels of depression, anxiety, and general psychological symptoms between parents of pediatric palliative care (PPC) patients and parents of healthy controls.</p> <p>Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and Symptom Checklist-90 Revised (SCL-90-R) were employed to provide a comprehensive and nuanced understanding of the mental health challenges faced by parents.</p> <p>The designation "case" in the first column (A) represents the parents of PPC patients, while the designation "control" represents the control group. &nbsp;The columns labeled B to S present demographic characteristics data, while columns T to AR present inventory scores. Columns BB to GC, in turn, present the responses to the inventory items.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
dryad40/100

Converting between the International Prostate Symptom Score (IPSS) and the Expanded Prostate Cancer Index Composite (EPIC) urinary subscales: modeling and external validation

<p><strong>Background</strong>: Prostate-related quality of life can be assessed with a variety of different questionnaires. The 50-item Expanded Prostate Cancer Index Composite (EPIC) and the International Prostate Symptom Score (IPSS) are two widely used options. The goal of this study was, therefore, to develop and validate a model that is able to convert between the EPIC and the IPSS to enable comparisons across different studies. </p> <p><strong>Methods</strong>: Three hundred forty-seven consecutive patients who had previously received radiotherapy and surgery for prostate cancer at two institutions in Switzerland and Germany were contacted via mail and instructed to complete both questionnaires. The Swiss cohort was used to train and internally validate different machine learning models using fourfold cross-validation. The German cohort was used for external validation.</p> <p><strong>Results</strong>: Converting between the EPIC Urinary Irritative/Obstructive subscale and the IPSS using linear regressions resulted in mean absolute errors (MAEs) of 3.88 and 6.12, which is below the respective previously published minimal important differences (MIDs) of 5.2 and 10 points. Converting between the EPIC Urinary Summary and the IPSS was less accurate with MAEs of 5.13 and 10.45, similar to the MIDs. More complex model architectures did not result in improved performance in this study. The study was limited to the German versions of the respective questionnaires.</p> <p><strong>Conclusions</strong>: Linear regressions can be used to convert between the IPSS and the EPIC Urinary subscales. While the equations obtained in this study can be used to compare results across clinical trials, they should not be used to inform clinical decision-making in individual patients. Trial registration This study was retrospectively registered on clinicaltrials.gov on January 14th, 2022, under the registration number NCT05192876.</p>

opencc-zeroJul 2024View details →
zenodo40/100

Dataset of the publication "Cross-sectional study of prevalence of dementia, behavioural symptoms, mobility, pain and other health parameters in nursing homes in Austria and the Czech Republic: results from the DEMDATA project"

<p>Dataset of the publication Stefanie R. Auer , Margit H&ouml;fler, Elisabeth Linsmayer, Anna Ber&aacute;nkov&aacute;, Doris Prieschl, Paulina Ratajczak,<br> Michal &Scaron;teffl and Iva Holmerov&aacute; (2018) &quot;Cross-sectional study of prevalence of dementia, behavioural symptoms, mobility, pain and other health parameters in nursing homes in Austria and the Czech Republic: results from the DEMDATA project&quot;</p>

opencc-by-4.0Nov 2018View details →
zenodo40/100

14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: comparison with the PHQ-9 depression screening

<p>This dataset contains 14 days of ambulatory assessment (AA)&nbsp;depression symptoms and mood ratings with timestamps, a retrospective Patient Health Questionnaire (PHQ-9) assessment and the demographic variables age and gender.</p> <p>The AA was conducted with users of the mobile mental health / depression screening app &quot;Moodpath&quot;. ICD-10 depression symptoms were assessed with the following questions:</p> <p>ICD-10 symptom 1: &quot;depressed mood&quot;<br> q1 = Are you feeling depressed?<br> q2 = Are you feeling hopeless?</p> <p>ICD-10 symptom 2: &quot;loss of interest and enjoyment&quot;<br> q3 = Do you feel like you are not interested in anything right now?<br> q4 = Do you have less pleasure in doing things you usually enjoy?</p> <p>ICD-10 symptom 3: &quot;increased fatigability&quot;<br> q5 = Do you currently have considerably less energy?&nbsp;<br> q6 = Are your everyday tasks making you very tired currently?</p> <p>ICD-10 symptom 4: &quot;reduced concentration and attention&quot;<br> q11 = Is it hard for you to make decisions currently?&nbsp;<br> q12 = Is it hard for you to concentrate currently?</p> <p>ICD-10 symptom 5: &quot;reduced self-esteem and self-confidence&quot;<br> q7 = Is your self-confidence clearly lower than usual?<br> q8 = Are you feeling up to your tasks? &nbsp;</p> <p>ICD-10 symptom 6: &quot;ideas of guilt and unworthiness&quot;<br> q9 = Are you blaming yourself currently?&nbsp;<br> q10 = Do you think you are worth less than others right now?</p> <p>ICD-10 symptom 7: &quot;bleak and pessimistic views of the future&quot;<br> q46 = Are you thinking that you will be doing well in the future?&nbsp;<br> q47 = Are you looking hopefully into the future?</p> <p>ICD-10 symptom 8: &quot;ideas or acts of self-harm or suicide&quot;<br> q16 = Are you thinking about death more often than usual?&nbsp;</p> <p>ICD-10 symptom 9: &quot;disturbed sleep&quot;<br> q13 = Did you sleep badly last night?&nbsp;</p> <p>ICD-10 symptom 10: &quot;diminished appetite&quot;<br> q14 = Do you have less or no appetite today?&nbsp;</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

Fig. 1 in Effects of relative humidity on the vector of rose rosette disease, Phyllocoptes fructiphilus (Eriophyidae), and incidence of disease symptoms

Fig. 1. Mean (± SE) number of Phyllocoptes fructiphilus under various relative humidity regimes (A) by wk and (B) for the duration of the experiment. The same letters within a wk afer infestation or bars are not significantly different (ANOVA followed by Tukey's HSD test; α = 0.05). Where no differences were observed, no letters are included.

opencc-by-4.0Sep 2021View details →
zenodo40/100

Fig. 2 in Effects of relative humidity on the vector of rose rosette disease, Phyllocoptes fructiphilus (Eriophyidae), and incidence of disease symptoms

Fig. 2. Mean (± SE) (A) proportion of rose rosette disease symptomatic terminals and (B) value of the Horsfall-Barratt scale on the severity of rose rosette disease. The same letters within a wk afer infestation are not significantly different (ANOVA followed by Tukey's HSD test; α = 0.05). Where no differences were observed, no letters are included.

opencc-by-4.0Sep 2021View details →
zenodo40/100

Recognition of symptoms, mitigating mechanisms and self-care experiences of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia

<p>Compliance of patients with self-care practices is the mainstay of measures to manage diabetes. Thus, the&nbsp;study explored self-care practices of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia.</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Figure 1 in First record, current status, symptoms, infested cultivars and potential impact of the blueberry bud mite, Acalitus vaccinii (Keifer) (Prostigmata: Eriophyidae) in South Africa

Figure 1 Acalitus vaccinii (Keifer, 1939) in South Africa: A – colony at the base of a symptomatic flower bud bract of Vaccinium corymbosum 'Berkeley'; B – enlarged part of the colony shown in Figure 1A; C – relatively small colony between corolla and calyx ofV. corymbosum 'Elliott' flower with callus-like tissue caused by the mites. Symptoms caused byA. vaccinii in South Africa: D – flower galls on V. virgatum 'Centurion' which are more compact than those on V. corymbosum 'Berkeley'in Figure 1E; E – rosette-like flower galls on V. corymbosum 'Berkeley'; F – hypertrophic red "roughened" callus-like tissue of a flower gall on V. corymbosum 'Ivanhoe'; G – red callus-like tissue on outside of corolla ofV. corymbosum 'Elliott' flower.

opencc-by-4.0Jul 2018View details →
zenodo40/100

Design and Development of a Smartphone-Based Geolocalized Exposure Therapy Software for Anxiety Disorders: SyMptOMS-ET -- Reproducibility Package

<p>R Notebook and datasets for the submitted paper "<em>Towards a self-applied, mobile-based&nbsp;geolocated exposure therapy software&nbsp;for anxiety disorders: SyMptOMS-ET app</em>"</p> <blockquote> <p>Alberto Gonz&aacute;lez-P&eacute;rez, Laura Diaz-Sanahuja, Miguel Matey-Sanz, Jorge Osma, Carlos Granell, Juana Bret&oacute;n-L&oacute;pez, Sven Casteleyn.&nbsp;Towards a self-applied, mobile-based&nbsp;geolocated exposure therapy software&nbsp;for anxiety disorders: SyMptOMS-ET app.&nbsp;<a href="https://journals.sagepub.com/home/dhj">Digital Health Journal</a> [Submitted]</p> </blockquote> <p>Experiments were conducted using the v1.2.0 version of the SyMptOMS-ET open-source app, which can be found <a href="https://github.com/GeoTecINIT/symptoms-mobile-app/releases/tag/v1.2.0">here</a>.</p>

openother-openDec 2022View details →
zenodo40/100

Datasets for article Effect of disease prevalence and growth stage on symptoms severity in the Turnip mosaic virus - Arabidopsis thaliana pathosystem

<p>Plants generate volatile organic compounds (VOCs) in response to biotic and abiotic stimuli that provide information about the physiological status of emitters to other individuals in the community.&nbsp; Nearby receivers adjust their own defenses in response to these chemical cues.&nbsp; The majority of studies to date has concentrated on the communication of abiotic stressors (<em>e.g</em>. salinity or drought) or herbivory.&nbsp; Less attention had received the role of VOCs during microbial infections and almost nothing has been done for viruses.&nbsp; Here we investigated the function of VOCs during turnip mosaic virus infection of <em>Arabidopsis thaliana</em>.&nbsp; First, we looked at the influence of two factors on the kinetics of symptoms progression in receivers, namely the prevalence of infection in the population and the growth stage of the receiver plants at inoculation.&nbsp; We found that young plants were more sensitive to the protective effect of VOCs than older ones, and that high infection prevalence results in a slower disease progression in receivers.&nbsp; Second, we looked into the possibility that jasmonates could be VOC candidates.&nbsp; To do this, we examined the kinetics of symptoms progression in jasmonate-insensitive and wild-type plants, and the results showed that the protective effect vanished in the mutant plants.&nbsp; Third, we investigated the possibility that root communication would be also relevant.&nbsp; Our findings showed that the kinetics of symptom progression across receivers was further slowed down when plants were housed in the same pot. &nbsp;Together, our preliminary findings point to a potential function for disease prevalence in plant communities in regulating the severity of symptoms, this effect being mediated by VOCs.</p>

opencc-by-2.0Feb 2023View details →
zenodo40/100

EPOCHAL (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms): Intake questionnaire (English and German)

<p>This questionnaire was developed for the EPOCHAL study (Effects of Pollen on Cardiorespiratory Health and Allergic symptoms). The study was&nbsp;sponsored and led by&nbsp;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.&nbsp;</p> <p>This is the &quot;intake questionnaire&quot; which was administered once for each participant upon starting the study. It&nbsp;includes questions about the following topics:<br> 1) Education<br> 2) Employment<br> 3) Allergy history: including allergies, previous testing,&nbsp;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</p> <p>The questionnaire is also available in German under the same DOI.</p> <p>Please note that this questionnaire was administered electronically on a tablet, and contains:</p> <ul> <li>Form logic, which determines the relevance of some questions based on previous answers. Affected questions are typically shown in grey color.</li> <li>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.</li> </ul>

opencc-by-4.0Mar 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record