"The NICHD Data and Specimen Hub (DASH) is a centralized resource that allows researchers to share and access de-identified data from studies funded by NICHD. DASH also serves as a portal for requesting biospecimens from selected DASH studies.". This dataset is associated with the following publication: Deluca, N., K. Thomas, A. Mullikin, R. Slover, L. Stanek, D. Pilant, and E. Hubal. Geographic and demographic variability in serum PFAS concentrations for pregnant women in the United States. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 33(1): 710-724, (2023).

A list of NIH-supported repositories that accept submissions of appropriate scientific research data from biomedical researchers. It includes resources that aggregate information about biomedical data and information sharing systems. Links are provided to information about submitting data to and accessing data from the listed repositories. Additional information about the repositories and points-of contact for further information or inquiries can be found on the websites of the individual repositories.

The National Institutes of Health (NIH) Data Book (NDB) provides basic summary statistics on extramural grants and contract awards, grant applications, the organizations that NIH supports, the trainees and fellows supported through NIH programs, and the national biomedical workforce. The Data Book is organized into categories and sub-categories, each of which will display related reports together on a single page. Most reports provide both an interactive chart visualization and the underlying data table.

ExPORTER provides bulk administrative data found in the National Institutes of Health RePORTER. RePORTER is an electronic tool that allows users to search a repository of NIH-funded research projects and access publications and patents resulting from NIH funding. CRISP was the predecessor system to RePORTER, and legacy files drawn from this system are provided from FY 1970 to FY 2009.Information is drawn from several extant databases: Patents, Publications and Clinical Trial information where NIH funded projects have been cited.eRA IRDB (IMPAC II Reporting Database)iEdisonClinical Trials.govNIH Intramural Database (NIDB)PubMed / PubMed Central data from SPIRES in IRDBBulk RePORTER includes data on: ProjectsProject Abstracts (separate due to file size considerations)Publications citing support from projectsLink Tables for Project to Publication Associations (used to establish the many-to-many relationships between projects and publications citing support from these projects)Patents citing support from projectsClinical Studies citing support from projectsData is stored in CSV format, and files can be related to one another using unique identifiers:The Project and Abstract files have the APPLICATION_ID in common. The Publication and Link files have the PMID in common. The Patent files have the PROJECT_ID which relates to Core_Project_Num.The Clinical Studies relate on the Core Project Number / Core_Project_Num.

BRADS is a repository for data and biospecimens from population health research initiatives and clinical or interventional trials designed and implemented by NICHD’s Division of Intramural Population Health Research (DIPHR). Topics include human reproduction and development, pregnancy, child health and development, and women’s health. The website is maintained by DIPHR.

The NIH Common Data Elements (CDE) Repository has been designed to provide access to structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes. Visit the NIH CDE Resource Portal for contextual information about the repository.

A database which contains longitudinal structural MRIs, spectroscopy, DTI and correlated clinical/behavioral data from approximately 500 healthy, normally developing children, ages newborn to young adult.

A database of federally funded biomedical research projects conducted at universities, hospitals, and other research institutions that provides a central point of access to reports, data, and analyses of NIH research. The RePORTER has replaced the CRISP database. The database, maintained by the Office of Extramural Research at the National Institutes of Health, includes projects funded by the National Institutes of Health (NIH), Substance Abuse and Mental Health Services (SAMHSA), Health Resources and Services Administration (HRSA), Food and Drug Administration (FDA), Centers for Disease Control and Prevention (CDCP), Agency for Health Care Research and Quality (AHRQ), and Office of Assistant Secretary of Health (OASH).

The Rat Genome Database (RGD) is a collaborative effort between leading research institutions involved in rat genetic and genomic research to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community.

Research projects funded by the National Institutes of Health (NIH), other DHHS Operating Divisions (ACF, AHRQ, CDC, FDA, HRSA), and the Department of Veterans Affairs. The ExPORTER files provide weekly and/or yearly snapshots of the data publicly accessible through the NIH Research Portfolio Online Reporting Tools, Expenditures and Results (RePORTER) system at https://reporter.nih.gov. The RePORTER database can also be queried using the user interface or the API. The RePORTER database contains information such as project title, abstract, principal investigator, funded organization, total awarded costs, categorization by area of research (NIH only), and project keywords. Also available is information on research publications and patents that have cited support from each project.

A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein.

This dataset is a subset of the NIH (https://www.kaggle.com/datasets/nih-chest-xrays/data) dataset with a reduced imbalance and half the number of samples created by a stratified split. This also contains the localizations and samples provided in the original dataset, for explainability in ML purposes.

Created with this notebook: https://www.kaggle.com/code/abr1998/data-processor

Distribution:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3814934%2F9a64cce4f99f4278748e6b8002b00a66%2FSnip20251030_1.png?generation=1761819257824833&alt=media" alt="Distribution of diseases">

DailyMed provides health information providers and the public with a standard, comprehensive, up-to-date, look-up and download resource of medication content and labeling as found in medication package inserts, also known as Structured Product Labeling (SPL).

The BioProject database links to data that have been or will be deposited into archival databases maintained at members of the International Nucleotide Sequence Database Consortium (INSDC, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive at European Molecular Biology Laboratory (ENA), and GenBank at the National Center for Biotechnology Information (NCBI)).

Nonalcoholic fatty liver disease (NAFLD) affects 10%-30% of the general U.S. population and can progress to significant fibrosis and cirrhosis. When nonalcoholic steatohepatitis (NASH) is present, the 5-year and 10-year survivals are estimated at 67% and 59%, respectively. The presence of NASH and early fibrosis is currently established only by liver biopsy; noninvasively determining who has NASH and who is at risk for progressing to cirrhosis remains challenging.

The Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) was initiated by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) in 2002 to conduct multicenter, collaborative studies on the etiology, contributing factors, natural history, complications, and treatment of NASH. To meet these goals, patients with the full spectrum of NAFLD or cryptogenic cirrhosis were enrolled in an observational Database study.

Comprehensive data, including demographics, medical history, symptoms, medication use, diet and exercise habits, and routine laboratory studies were collected on all patients at entry and at annual visits for up to 4 years after enrollment. Study questionnaires administered at enrollment and at selected follow-up visits included AUDIT; Block Food Questionnaire; Skinner Lifetime Drinking History, Physical Activity Questionnaire, Modifiable Activity Questionnaire; and the MOS 36-Item Short-Form Health Survey. Specimens were collected at selected time points during follow-up. If liver biopsies were obtained as part of routine patient care, they were scored using the NASH CRN NAFLD Activity Score (NAS) and fibrosis score.

Dryad BioLINCC Survey Data 16-09-01This is the deidentified data from the 2015 cross-sectional survey of investigators who requested and received access to clinical research data from BioLINCC between 2007 and 2014.READ ME Dryad BioLINCC Survey 16-09-01.txtData Dictionary BioLINCC Survey 16-09-01This file lists and describes the variables from the 2015 cross-sectional BioLINCC survey.

Original data for A Bibliometric Comparison of NIH R01 and R21 Awards: A Case Study Using Basic Behavioral and Social Science Research Awards.Abbreviations:BSSR: behavioral and social science researchbBSSR: basic behavioral and social science researchBSSR-only: awards that are BSSR but not bBSSR

The following datasets are in this fileset:1. OppNet data.csv: Award, publication, and forward citation data for OppNet awards. 2. NIH iCite results for OppNet publications.csv: forward citation data for OppNet publications; retrieved from the NIH iCite database (https://icite.od.nih.gov/analysis)3. BSSR-only data.csv: BSSR-only award, publication, and related information4. bBSSR data.csv: bBSSR award, publication, and related information5. BSSR-only and bBSSR NIH iCite data.csv: forward citation data for both BSSR-only and bBSSR publications; retrieved from the NIH iCite database 6. Forward citation data for BSSR-only and bBSSR publications.csv: Forward citation data, retrieved from Scopus, for BSSR-only and bBSSR publications7. BSSR-only and bBSSR total costs.csv: NIH total cost (direct costs + indirect costs) for BSSR-only and bBSSR awards; data retrieved from NIH Reporter Metadata (column name and description) for each dataset:OppNet data.csvGroup: specifies that the data is for OppNet awards and publicationsType: funding type, either R01 or R21 grant awardGrant.number: NIH grant number for awardProject.start.date: NIH project start date for award (month/day/year)PMID: PubMed identification number for publications as)sociated with respective awards; NA indicates that awards without publicationsPub.date: Date of publication retrieved from PubMed; dates designate time of electronic publication unless there was no electronic publication, then date designates time of physical publication (month/day/year)Fwd.PMID: PMID of forward citations for a particular publication; forward citations retrieved from Scopus database, limited to journal articles and publications; NA indicates no forward citations were retrieved from ScopusFwd.pub.date: Date of publication for a forward citation; dates retrieved from PubMed, electronic publication dates were used unless a publication had no electronic publication date (month/day/year)NIH iCite results for OppNet publications.csvPubMed.ID: PubMed identification number of OppNet publications (this is equivalent to PMID in the OppNet data.csv file)Total.Citations: number of total forward citations for a given OppNet publicationCitations.per.Year: citations per full calendar year after publication (calculated by NIH iCite)Expected.Citations.per.Year: number of expected citations per yearField.Citation.Rate: average citations of the field's journals each yearRelative.Citation.Ratio: the RCR represents a citation-based measure of scientific influence of one or more articles. It is calculated as the cites/year of each paper, normalized to the citations per year received by NIH-funded papers in the same field and year.NIH.Percentile: Percentile rank amongst NIH-funded publicationsYear: Year of OppNet publicationTitle: OppNet publication titleAuthors: List of authors for OppNet publicationJournal: Journal in which the OppNet publication was publishedArticle: Indicates whether the publication was a journal article (yes or no)BSSR-only data.csv & bBSSR data.csvColumn names and descriptions are the same for both files. BSSR-only data.csv contains only information related to BSSR-only awards; and bBSSR data.csv contains only information related to bBSSR awards.Grant.number: NIH grant number for awardFOA: NIH Funding Opportunity Announcement numberActivity: funding type, either R01 or R21 grant awardAnnouncement.code: type of FOA--Program Announcement (PA); PAR (a PA with special receipt, referral and/or review considerations); PAS (a PA that includes specific set-aside funds); RFA (request for application)Announcement.type: either PA (those designated as PAR or PAS under Announcement.code were re-designated as PA) or RFAProject.start.date: NIH project start date for award (month/day/year)Project.end.date: NIH project end date for award (month/day/year)PMID: PubMed identification number for publications associated with respective awards; NA indicates that awards without publicationsPub.date: Date of publication retrieved from PubMed; dates designate time of electronic publication unless there was no electronic publication, then date designates time of physical publication (month/day/year)Accepted.date: Date that the publication of interest was accepted by the publishing journal; data retrieved from PubMedReceived.date: Date that the journal received the publication; data retrieved from PubMedTranslational: 1 indicates publications that are translational research; 0 indicates publications that are not translational researchNote: translational research publications are those that had one or more of the following publication types, as indicated through PubMed: clinical trial; controlled clinical trial; clinical trial, phase I; clinical trial, phase II; clinical trial, phase III; clinical trial, phase IV; pragmatic clinical trial; randomized controlled trial; or observational studyTotal.grants: Total number of grants acknowledged by the publicationBSSR-only and bBSSR NIH iCite data.csvColumn names and descriptions are the same as those in NIH iCite results for OppNet publications.csv. Data are for BSSR-only and bBSSR publications. Forward citation data for BSSR-only and bBSSR publications.csvType: Funding mechanism, either R01 or R21Grant.number: NIH grant numberPMID: PubMed identification number for publications associated with respective awards; NA indicates that awards without publicationsFwd.PMID: PMID of forward citation for a particular publication; forward citations retrieved from Scopus database, limited to journal articles and publications; NA indicates no forward citations were retrieved from ScopusFwd.pub.date: Date of publication for a forward citation; dates retrieved from PubMed, electronic publication dates were used unless a publication had no electronic publication date (month/day/year)Fwd.accepted.date: Date of forward citation acceptance by journal (month/day/year)Fwd.received.date: Date journal received submission from forward citation publication (month/day/year)Fwd.translational: 1 indicates that the forward citation was translational research; 0 indicates that the forward citation was not translational researchNote: translational research was defined the same as aboveBSSR-only and bBSSR total costs.csvGrant.number: NIH grant numberTotal.costs: Total NIH costs (direct costs + indirect costs) for an award (in USD)Contact Xueying Han (xhan@ida.org) if you have any questions.

The Computational Photography Project for Pill Identification (C3PI) was sunset in 2018. No new images will be added to the collection. Identifiers for pills will not be updated. Images and metadata are for research and development purposes only.

The Computational Photography Project for Pill Identification (C3PI) created the RxIMAGE database of freely available high-quality digital images of prescription pills and associated data for use in conducting computer vision research in text- and image-based search and retrieval. Photographs of pills for the RxIMAGE database were taken under laboratory lighting conditions, from a camera directly above the front and the back faces of the pill, at high resolution, and using specialized digital macro-photography techniques. Image segmentation algorithms were then applied to create the JPEG images in the database.

Historical information about the project is available in the NLM archive at https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification.

EuPathDB Bioinformatics Resource Center for Biodefense and Emerging/Re-emerging Infectious Diseases is a portal for accessing genomic-scale datasets associated with the eukaryotic pathogens.

The Influenza Research Database (IRD) serves as a public repository and analysis platform for flu sequence, experiment, surveillance and related data.