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Found 10 result(s)

Natural History Museum, Data Portal

Explore and download the Natural History Museum’s research and collections data

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The Museum is committed to open access and open science, and has launched the Data Portal to make its research and collections datasets available online. It allows anyone to explore, download and reuse the data for their own research. Our natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. These datasets will increase exponentially. Under the Museum's ambitious digital collections programme we aim to have 20 million specimens digitised in the next five years.

Northern Ontario Plant Database

NOPD

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The Northern Ontario Plant Database (NOPD) is a website that provides free public access to records of herbarium specimens housed in northern Ontario educational and government institutions. A herbarium is an archival collection of plants that have been pressed, dried, mounted, and labelled. It also provides up-to-date and accurate information on the flora of northern Ontario.

Harvard Medical School, Library of Integrated Network-Based Cellular Signatures Database

HMS, LINCS database

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The Database contains all publicly available HMS LINCS datasets and information for each dataset about experimental reagents (small molecule perturbagens, cells, antibodies, and proteins) and experimental and data analysis protocols.

Born in Bradford

BiB

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Born in Bradford is one of the biggest and most important medical research studies undertaken in the UK. The project started in 2007 and is looking to answer questions about our health by tracking the lives of 13,500 babies and their families and will provide information for studies across the UK and around the world. The aim of Born in Bradford is to find out more about the causes of childhood illness by studying children from all cultures and backgrounds as their lives unfold.

RUresearch Data Portal

Rutgers University Research Data Portal

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RUresearch Data Portal is a subset of RUcore (Rutgers University Community Repository), provides a platform for Rutgers researchers to share their research data and supplementary resources with the global scholarly community. This data portal leverages all the capabilities of RUcore with additional tools and services specific to research data. It provides data in different clusters (research-genre) with excellent search facility; such as experimental data, multivariate data, discrete data, continuous data, time series data, etc. However it facilitates individual research portals that include the Video Mosaic Collaborative (VMC), an NSF-funded collection of mathematics education videos for Teaching and Research. Its' mission is to maintain the significant intellectual property of Rutgers University; thereby intended to provide open access and the greatest possible impact for digital data collections in a responsible manner to promote research and learning.

Clinical Proteomic Tumor Analysis Consortium Data Portal

CPTAC Data Portal

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The CPTAC Data Portal is the centralized repository for the dissemination of proteomic data collected by the Proteome Characterization Centers (PCCs) for the CPTAC program. The portal also hosts analyses of the mass spectrometry data (mapping of spectra to peptide sequences and protein identification) from the PCCs and from a CPTAC-sponsored common data analysis pipeline (CDAP).

TERENO Data Discovery Portal

Terrestrial Environmental Observatories Data Discovery Portal

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This portal applicaton brings together the data collected and published via OGC Web-services from the individual observatories and provides access of the data to the public. Therefore, it serves as a database node to provide scientists and decision makers with reliable and well accessible data and data products.

PhenoGen Informatics

PhenoGen

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The PhenoGen website shares experimental data with a worldwide community of investigators and provides a flexible, integrated, multi-resolution repository of neuroscience transcriptomic genetic data for collaborative research on genomic disorders. The main development focus is on providing Hybrid Rat Diversity Panel transcriptomic data (sequencing, genome coverage, reconstructed totalRNA/smallRNA transcriptomes, quanification of the transcriptome, eQTLs, and WGCNA) and integrating additional tools to provide platform for visualization and analysis of HRDP transcriptome data.

Sicas Medical Image Repository

SMIR

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The SICAS Medical Image Repository is a freely accessible repository containing medical research data including medical images, surface models, clinical data, genomics data and statistical shape models. The data can freely be organized and shared on SMIR and made publicly accessible with a DOI. Dedicated data sets are organized as collections of anatomical regions (e.g Cochlea). The data can be filtered using a modular search and accessed on the web or through the SMIR API.

Swiss HIV Cohort Study & Swiss Mother and Child HIV Cohort Study

SHCS & MoCHIV

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The Swiss HIV Cohort Study (SHCS), established in 1988, is a systematic longitudinal study enrolling HIV-infected individuals in Switzerland. It is a collaboration of all Swiss University Hospital infectious disease outpatient clinics, two large cantonal hospitals, all with affiliated laboratories, and with affiliated smaller hospitals and private physicians carrying for HIV patients. The Swiss Mother and Child HIV Cohort Study (MoCHiV) is integrated into the SHCS. It aims at preventing mother to child transmission and enrolls HIV-infected pregnant women and their children. The SHCS involves practically all researchers being active in patient-oriented HIV research in Switzerland. The clinics can delegate recruitment of participants and follow-up visits to other outpatient clinics or to specialized private physicians, provided that the requirements of the protocol can be entirely fulfilled and controlled. The laboratories can contract other laboratories for some of the analyses.