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Dataset results
26 results for “Population database”
GSTRIDE: A database of frailty and functional assessments with inertial gait data from elderly fallers and non-fallers populations
<p>The GSTRIDE database contains relevant metrics and motion data of elder people for the assessment of their health status. The data correspond to 163 patients, 45 men and 118 women, between 70 and 98 years old with an average Body Mass Index (BMI) of 26.1±5.0 kg/m<sup>2</sup> and a cognitive deterioration status index between 1 and 7, according to the Global Deterioration Scale (GDS) scale. In this way, we ensure variability among the volunteers in terms of socio-demographic and anatomic parameters and their functional and cognitive capacities. The database files are stored in CSV format to ease their usability with common data processing software.</p> <p>We provide socio-demographic data, anatomical, functional and cognitive variables, and the outcome measurements from test commonly performed for the evaluation of elder people. The evaluation tests carried out to obtain these data are the Gait Speed Test (4-metre), the Hand Grip Strength, the Short Physical Performance Battery (SPPB), the Timed up and go (TUG) and the Short Falls Efficacy Scale International (FES-I). We also include the outcomes of the GDS questionnaire, the Frailty assessment and the information about falls during the last year prior to the tests.</p> <p>These data are complemented with the gait parameters of a walking test recorded by an Inertial Measurement Unit (IMU) placed on the foot. Inertial data from foot-mounted IMUs (acceleration (m/s2), angular velocity (rad/s) and timestamps (s)) are included in the database in .csv files for each participant.</p> <p>The current version includes a new gait analysis processing conducted following the methodology described in [1].</p> <p>The complete gait analysis is included for each participant and trial in .csv files, including the gait parameters estimated for all individual steps and the gait segmentation events. The gait parameters included are: cycle duration (CD) (s), cadence (steps/min), stride length (SL) (m), path length 3D (%SL), path length 2D (%SL), stride velocity (m/s), percentage of swing (%CD), percentage of stance (%CD), percentage of stance subphases (loading, foot-flat, and pushing) (%stance), heel strike pitch (degrees), toe-off pitch (degrees), peak angle velocity (degrees/s), turning angle (degrees), and heel range of motion (ROM) (degrees). </p> <p>GSTRIDE is specially focused on, but not limited to, the study of faller and non-faller elder people. The main aim of this dataset is the availability of study these different populations. By including the results of the health evaluation tests and questionnaires and the inertial and spatio-temporal data, researchers can analyze different techniques for the identification of fallers. Moreover, this database allows the analysis of cognitive deterioration and frailty parameters of patients by the research community.</p> <p>[1] L. Ruiz-Ruiz, J. J. García-Domínguez and A. R. Jiménez, "A Novel Foot-Forward Segmentation Algorithm for Improving IMU-Based Gait Analysis," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 73, pp. 1-13, 2024, Art no. 4010513, doi: 10.1109/TIM.2024.3449951.</p>
Construction of a SNP fingerprinting database and population genetic analysis of 329 cauliflower cultivars
<p>The VCF file contains the information of 1662 SNP sites of 820 cauliflower inbred lines that were filtered according to a series of stringent conditions.</p>
Database populated with European diversification experiences
<p>The EU Horizon 2020 project DiverIMPACTS aims to promote the realisation of the full potential of crop diversification through rotation, multicropping and intercropping by demonstrating technical, economic and environmental benefits for famers, along the value chain and for society at large, and by providing innovations that can remove existing barriers and lock-ins of practical diffusion.</p> <p>DiverIMPACTS does so by combining findings from several participatory case studies with a set of field experiments across Europe, and translating these into strategies, recommendations and fit-for-purpose tools developed with and for farmers, advisors and other actors along the value chain.</p> <p>To first gain a good overview of the current situation, i.e. the existing success stories and challenges of crop diversification in Europe, Work Package 1 (WP 1) identified and analysed factors of success and failure associated with a variety of crop diversification experiences (CDEs) outside those already represented in the consortium (see Deliverable 1.1). WP 1 thus makes sure that the rich experience with crop diversification initiatives across Europe (e.g. from other Horizon 2020 projects) is taken into account for developing strategies, recommendations and tools.</p> <p>Deliverable 1.1 provided i) a list of key drivers (ex ante occurrence of market opportunities, environmental constraints, availability of enabling advisory services, land and workforce availability etc.) to be further considered in WP3, and WP5; and ii) a comprehensive and exhaustive description of the links between key factors and CDE types. This analysis is the basis for consolidating or updating the tentative typology of crop diversification situations used for setting up DiverIMPACTS (case studies), and was used for selecting experiences for more detailed investigations in T1.2. It also complements the identification and characterisation of lock-ins and barriers to crop diversification, and serves their overcoming. During the process of collecting, cleaning and analysing the survey data, a Database of European diversification experiences was created.</p> <p>All together 128 valid responses from 15 European countries – mainly from the project countries Belgium, France, Germany, Hungary, Italy, the Netherlands, Poland, Romania, Sweden, Switzerland, and UK, but also from Denmark, Finland, Luxemburg and Spain were received in T1.1, and were included in the database.</p> <p>The database is stored in original and back-up form in a tabular ='.csv'= format that can be opened in Excel on the Sharepoint system of the project and now on Zenodo, under restricted WP1 area. A further ='.csv'= file was created to store the metadata of the database. This file helps to have a better overview of the questions and sub-questions that were asked in the survey and the type of answer that could be provided to each of them (e.g. factor, Yes-No selection or character).</p> <p>Using the meta data and the database, a selection of personal data fields has been made (e.g. email addresses and names of people) that cannot be published with open access, and needs special attention and data handling. These variables were removed from the original database, and a public version of the database was created that can be shared with third parties. Links to the data files will be shared here after.</p> <p>Developing a Shiny(c) application in R was chosen as a solution to visualize the public data, and make it possible for Partners and all interested parties to interactively view the survey results. The Shiny application is shared as an R-package and are freely accessible on the internet. The users have the possibility to download application and public data in order to visualize them on their own computer. A remote solution, facilitating the consultation of the data, will be installed in CRA-W, where the open data analyses module will be hosted. A short user guide and tutorial is part of this deliverable for helping interested parties to use the Shiny interface.</p> <p>The chosen approach, linking R scripts, R packages and data files, will be useful in the future in order to continiously complete the data base and to update the application (new graphs, new functions regarding the demand of the main users). The release of the application will be shared using modern technologies of information and communication : project website, newsletter, blogs, twitter and other social networks.</p> <p>The main deliverable (D1.2) which is public, is available here : 10.5281/zenodo.3966852</p>
DATABASE OF THE SYSTEMATIC MAPPING OF SOCIAL SUPPORT ANS STIGMA IN POPULATION LIVING WITH HIV
<p>DATABASE OF THE SYSTEMATIC MAPPING OF SOCIAL SUPPORT ANS STIGMA IN POPULATION LIVING WITH HIV. IT WAS USED THE PRISMA (2020) METHODOLOGY.</p>
Prognostic Impact of Increased Lymph Node Yield in Colorectal Cancer Patients With Synchronous Distant Metastasis: a Population-based Study of the US Database and a Chinese Registry
ClinicalTrials.gov study NCT05550701. IPD Sharing: NO. Countries: 1. Publications: 3.
Enterolobium cyclocarpum database of abortions and seed weight in five populations of Mexico and Costa Rica
Open the record for dataset details and reuse information.
Larval salamander retinal population data in response to natural movies from the Chicago Motion Database
Open the record for dataset details and reuse information.
dbMMR-Chinese database: the open-access database for variants in mismatch repair genes in Chinese population
<p>Mutation in mismatch repair genes (MMR) is the genetic predisposition for gastrointestinal cancer represented by the Lynch Syndrome. Identification of the mutation carrier is critical in prevention and treatment of the cancer. Chinese is the largest ethnic population with the largestgastrointestinal cancer cases in the world, but systematic knowledge for the mutation in MMR is lack in Chinese population. Through comprehensive data mining, we collected nearly all MMR data derived from 33,998 Chinese of 23,938 cancer and 10,060 non-cancer cases reported from 1997 to 2019. Upon standardization and re-annotation, the data following international standards, we identified a total of 540 distinct MMR variants including 487 single base change and indel, and 53 large deletion/duplication in four MMR genes of <em>MLH1</em>, <em>MSH2</em>, <em>MSH6</em>and <em>PMS2</em>; 153 of the variants were classified as Pathogenic or Likely Pathogenic. This MMR dataset is the largest collection from a single, non-Caucasian population. We developed an open-access database, dbMMR-Chinese (<a href="https://dbmmr-chinese.fhs.um.edu.mo/">https://dbMMR-chinese.fhs.um.edu.mo</a>), to share with community for MMR mutation-related cancer study and clinical application.</p>
Mandrillus face database: Portrait pictures of the population of wild mandrills from Bakoumba (Gabon)
<p>Behavioral discrimination of kin is a key process structuring social relationships in animals. In this study, we provide evidence for discrimination towards non-kin by third parties through a mechanism of phenotype matching. In mandrills, we recently demonstrated increased facial resemblance among paternally-related juvenile and adult females indicating adaptive opportunities for paternal kin recognition. Here, we hypothesize that mandrill mothers use offspring's facial resemblance with other infants to guide offspring's social opportunities towards similar-looking ones. Using deep learning for face recognition in 80 wild mandrill infants, we first show that infants sired by the same father resemble each other the most, independently of their age, sex, or maternal origin, extending previous results to the youngest age class. Using long-term behavioral observations on association patterns, and controlling for matrilineal origin, maternal relatedness, and infant age and sex, we then show, as hypothesized, that mothers are spatially closer to infants that resemble their own offspring more, and that this maternal behavior leads to similar-looking infants being spatially associated. We then discuss the different scenarios explaining this result, arguing that adaptive maternal behavior is a likely explanation. In support of this mechanism and using theoretical modeling, we finally describe a plausible evolutionary process whereby mothers gain fitness benefits by promoting nepotism among paternally related infants. This mechanism, which we call "second-order kin selection", may extend beyond mother-infant interactions and has the potential to explain cooperative behaviors among non-kin in other social species, including humans.</p>
DataBase of pulmoNary hyPertesion in PoLish Population - BNP-PL
ClinicalTrials.gov study NCT03959748. IPD Sharing: NO. Countries: 1. Publications: 2.
Prospective Database for Eosinophilic Esophagitis (EoE) of Pediatric Population
ClinicalTrials.gov study NCT05176249. IPD Sharing: Not stated. Countries: 1. Publications: 10.
INCIDENCE, PREVALENCE AND OVERALL RISK OF ESOPHAGEAL CANCER IN ACHALASIA: A PROPENSITY-MATCHED POPULATION-BASED STUDY FROM A LARGE MULTICENTER DATABASE
ClinicalTrials.gov study NCT07022886. IPD Sharing: NO. Countries: 1. Publications: 3.
Belize terrestrial mammal database from: An integrated approach to measure hunting intensity and assess its impacts on mammal populations
Open the record for dataset details and reuse information.
Mandrillus face database: Portrait pictures of the population of wild mandrills from Bakoumba (Gabon)
Open the record for dataset details and reuse information.
Fig. 1 in A volunteer-populated online database provides evidence for a geographic pattern in symptoms of black spot infections
Fig. 1. Example photos of a blacknose dace, a stoneroller (Campostoma sp.), a creek chub, and a chub (Nocomis sp.) exhibiting evidence of a black grub infection.
Fig. 3 in A volunteer-populated online database provides evidence for a geographic pattern in symptoms of black spot infections
Fig. 3. If an observation of blacknose dace, creek chub, chubs (Nocomis spp.), or stonerollers (Campostoma spp.) is reported on iNaturalist from the watersheds of Northern Lake Erie or Lake Ontario – Niagara Peninsula it is more likely to exhibit macroscopic signs of infection by metacercariae. Also a high percentage of the observations by user bkorol exhibited symptoms, all from Eastern Georgian Bay which is adjacent to the two other watersheds mentioned. Data were analyzed using conditional information trees in r using package caret to train and tune the model. Percentage of actual observations summarized in bar charts below each split that significantly described the data.
Fig. 2 in A volunteer-populated online database provides evidence for a geographic pattern in symptoms of black spot infections
Fig. 2. Watersheds shaded by the percentage of observations with signs of black spot infection for four groups of fishes, each of which show higher prevalence in the watersheds near Toronto and the northern shoreline of Lake Erie. Watersheds are transparent if only 1 or 2 fish were observed in them, otherwise they increase in opaqueness as sample number increase, those with>15 observations are solid. Refer to Table 1 for numbers.
Mercury and Arsenic muscle concentration data as used in "Mixed model approaches can leverage database information to improve the estimation of size-adjusted contaminant concentrations in fish populations"
<p>These mercury and arsenic concentration data, as recieved from Gretchen Lescord, and downloaded from the MOE fish contaminant database, were used to create the publication Mixed model approaches can leverage database information to improve the estimation of size-adjusted contaminant concentrations in fish populations. The markdown and code used for the analysis of this data can be found on Github at https://github.com/GLFC-WET/HGAS_master.</p>
A Real-world Assessment in Implementation of the MASH Patient Care Pathway in Chinese Population Using the Meinian Health Check-up Database
ClinicalTrials.gov study NCT06741111. IPD Sharing: YES. Countries: 1. Publications: 0.
Establishing a Normative Database in Pediatric Population of the Head-mounted visuALL Field Analyzer
ClinicalTrials.gov study NCT04175444. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.