This data set includes the original Vega 2 MISCHA data delivery to PDS. The data were provided by Magda Delva of the MISCHA instrument team. The data are provided in ASCII format as well as the original IBM/PC binary format in which they were delivered to PDS. This data set was created for purposes of 'safing' these data. Significant concerns exist with regards to data quality. Instrument offsets (zero-levels) were highly unstable after 21 Feb 1986. In addition the instrument failed just prior to closest approach to comet Halley.

This data set includes the original Vega 1 MISCHA data delivery to PDS. The data were provided by Magda Delva of the MISCHA instrument team. The data are provided in ASCII format as well as the original IBM/PC binary format in which they were delivered to PDS. This data set was created for purposes of 'safing' these data. Significant concerns exist with regards to data quality. Specifically one of the instrument sensors saturated near closest approach to the comet Halley.

This template is for recording genome data from the NimbleGen platform. This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using these templates will mean easier submission to GEO/ArrayExpress and greater consistency of data in SEEK.

This document provides instructions for editing and submitting unit process or product system models to the USDA LCA Commons life cycle inventory (LCI) database. The LCA Commons LCI database uses the openLCA life cycle modeling tool's database schema. Therefore, this document describes how to import and edit data in openLCA and name and classify flows such that they properly import into and operate in the database. This document also describes metadata or documentation requirements for posting models to the LCA Commons. This document is an evolving standard for LCA Commons data. As USDA-NAL continues to gain experience in managing a general purpose LCI database and global conventions continue to evolve, so too will the LCA Commons Submission Guidelines. Resources in this dataset:Resource Title: LCA Commons Submission Guidelines_12/09/2015. File Name: lcaCommonsSubmissionGuidelines_Final_2015-12-09.pdf

Includes 1) list of genes in the STAT5b biomarker and 2) list of accession numbers for microarray datasets used in study.

This dataset is associated with the following publication: Oshida, K., N. Vasani, D. Waxman, and C. Corton. Disruption of STAT5b-Regulated Sexual Dimorphism of the Liver Transcriptome by Diverse Factors Is a Common Event. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(3): NA, (2016).

List of biomarker genes used to predict estrogen receptor activity in MCF-7 cells; list of microarray accession numbers used in the study. This dataset is associated with the following publication: Vanduyn, N., B. Chorley , R. Tice, R. Judson , and C. Corton. Moving Toward Integrating Gene Expression Profiling into High-throughput Testing:A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium. TOXICOLOGICAL SCIENCES. Society of Toxicology, 151(1): 88-103, (2016).

Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and Specs, Appendix N)

Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for developers interested in harvesting MHKDR metadata for federation or inclusion in their local catalogs.

GenBank data submission network R data frames by year from 1992-2018.

Submission of Patient Care Report (PCR) data by ambulance operators to Alberta Health is a legislative requirement. The Alberta Ambulance Information Management System (AAIMS) provides an electronic mechanism for submission of PCRs. The purpose of these guidelines is to provide ambulance operators with an overview of the process from the submission/uploading of the file, to the retrieval and correction of processing results, and the data and technical requirements for creating batch submissions of PCRs and data records.

URL: https://geoscience.data.qld.gov.au/dataset/cr015077

ATP 166, W84A, W85A SEISMIC SURVEYS, DATA SUBMISSION

Using a weakly coupled data assimilation (WCDA) system to constrain the soil moisture and soil temperature in a coupled climate model with a global land data assimilation product, this study demonstrates significant improvements in simulating the interannual variations of EASM rainfall, capturing the notable shift to a "wetter-South-drier-North" rainfall pattern in China in the early 1990s. Improvements in predicting the EASM rainfall are attributed to the strong land-atmosphere coupling in large areas over China, which allows improved predictions of soil moisture to influence precipitation through soil moisture-precipitation feedback, and the effects of land anomalies on the EASM circulation. This study highlights the significant contribution of land to the interannual predictability of EASM rainfall, with a great potential to advance skillful interannual predictions of benefit to the large populations influenced by the annual whiplash of the summer monsoon rain.

A single entry point for users to link to and find information about data submission processes at NCBI.

Resources for Water DAMS data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of Water DAMS. The Data Management and Submission Best Practices document also contains API access and metadata schema information for developers interested in harvesting Water DAMS metadata for federation or inclusion in their local catalogs.

Original data to get all figures in the submission.

Dataset

This dataset was created by Omar Karaf 477910

Released under Apache 2.0

Contents

Dataset

This dataset was created by G7_AIT_ZAOUIT_Oumaima

Released under Apache 2.0

Contents

Submission and acceptance data for journals involved in the Taylor & Francis FAIR data pilot. Data is anonymised. Includes journal article submissions and acceptances for the years 2018, 2019 and 2020.

Pierre Schmit

This dataset provides information on how schedule II - V prescriptions were sent to the pharmacy. It only includes dispensations to CT residents reported to the CT Prescription Monitoring & Reporting System (CPMRS).

Please note that although medical marijuana is a schedule II drug in CT, these dispensations will are not included.