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 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

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

Elevation data, as defined in FEMA?s Guidelines and Standards for Flood Risk Analysis and Mapping, describe the digital topographic data that were used to create the data representing the terrain environment of a watershed and/or floodplain. Elevation data requirements allow for flexibility in the types of information used to produce final terrain deliverables. Submission of the terrain data sources allows FEMA to account for the origins of the flood study terrain data.(Source: FEMA Guidelines and Standards for Flood Risk Analysis and Mapping.)

General descriptionThis dataset contains some markers of Open Science in the publications of the Chemical Biology Consortium Sweden (CBCS) between 2010 and July 2023. The sample of CBCS publications during this period consists of 188 articles. Every publication was visited manually at its DOI URL to answer the following questions.1. Is the research article an Open Access publication?2. Does the research article have a Creative Common license or a similar license?3. Does the research article contain a data availability statement?4. Did the authors submit data of their study to a repository such as EMBL, Genbank, Protein Data Bank PDB, Cambridge Crystallographic Data Centre CCDC, Dryad or a similar repository?5. Does the research article contain supplementary data?6. Do the supplementary data have a persistent identifier that makes them citable as a defined research output?VariablesThe data were compiled in a Microsoft Excel 365 document that includes the following variables.1. DOI URL of research article2. Year of publication3. Research article published with Open Access4. License for research article5. Data availability statement in article6. Supplementary data added to article7. Persistent identifier for supplementary data8. Authors submitted data to NCBI or EMBL or PDB or Dryad or CCDCVisualizationParts of the data were visualized in two figures as bar diagrams using Microsoft Excel 365. The first figure displays the number of publications during a year, the number of publications that is published with open access and the number of publications that contain a data availability statement (Figure 1). The second figure shows the number of publication sper year and how many publications contain supplementary data. This figure also shows how many of the supplementary datasets have a persistent identifier (Figure 2).File formats and softwareThe file formats used in this dataset are:.csv (Text file).docx (Microsoft Word 365 file).jpg (JPEG image file).pdf/A (Portable Document Format for archiving).png (Portable Network Graphics image file).pptx (Microsoft Power Point 365 file).txt (Text file).xlsx (Microsoft Excel 365 file)All files can be opened with Microsoft Office 365 and work likely also with the older versions Office 2019 and 2016. MD5 checksumsHere is a list of all files of this dataset and of their MD5 checksums.1. Readme.txt (MD5: 795f171be340c13d78ba8608dafb3e76)2. Manifest.txt (MD5: 46787888019a87bb9d897effdf719b71)3. Materials_and_methods.docx (MD5: 0eedaebf5c88982896bd1e0fe57849c2),4. Materials_and_methods.pdf (MD5: d314bf2bdff866f827741d7a746f063b),5. Materials_and_methods.txt (MD5: 26e7319de89285fc5c1a503d0b01d08a),6. CBCS_publications_until_date_2023_07_05.xlsx (MD5: 532fec0bd177844ac0410b98de13ca7c),7. CBCS_publications_until_date_2023_07_05.csv (MD5: 2580410623f79959c488fdfefe8b4c7b),8. Data_from_CBCS_publications_until_date_2023_07_05_obtained_by_manual_collection.xlsx (MD5: 9c67dd84a6b56a45e1f50a28419930e5),9. Data_from_CBCS_publications_until_date_2023_07_05_obtained_by_manual_collection.csv (MD5: fb3ac69476bfc57a8adc734b4d48ea2b),10. Aggregated_data_from_CBCS_publications_until_2023_07_05.xlsx (MD5: 6b6cbf3b9617fa8960ff15834869f793),11. Aggregated_data_from_CBCS_publications_until_2023_07_05.csv (MD5: b2b8dd36ba86629ed455ae5ad2489d6e),12. Figure_1_CBCS_publications_until_2023_07_05_Open_Access_and_data_availablitiy_statement.xlsx (MD5: 9c0422cf1bbd63ac0709324cb128410e),13. Figure_1.pptx (MD5: 55a1d12b2a9a81dca4bb7f333002f7fe),14. Image_of_figure_1.jpg (MD5: 5179f69297fbbf2eaaf7b641784617d7),15. Image_of_figure_1.png (MD5: 8ec94efc07417d69115200529b359698),16. Figure_2_CBCS_publications_until_2023_07_05_supplementary_data_and_PID_for_supplementary_data.xlsx (MD5: f5f0d6e4218e390169c7409870227a0a),17. Figure_2.pptx (MD5: 0fd4c622dc0474549df88cf37d0e9d72),18. Image_of_figure_2.jpg (MD5: c6c68b63b7320597b239316a1c15e00d),19. Image_of_figure_2.png (MD5: 24413cc7d292f468bec0ac60cbaa7809)

MAGL is proposed to enable adaptive jump over DC control modes.

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

The D2D EFSS (Inc 1 and 2) provides a common access point to standardize, centralize, and integrate the universal collection of Benefit Claim Forms and supporting evidence data to produce a streamlined paperless Veteran/Service member centric claims process. Allow VSOs to submit claims and documents digitially to the VA system, enable the claim to be automatically established, automatically upload the associated dcument and evidence to the Veterans eFolder or document storage repository, notifying the correct Station of Jurisdiction(SOJ) that a claim folder or eFolder is available to be worked, and notify the VSO of successful submissions and errors experienced, if applicble during submittal. This service provides claims profile data functionality.D2D. Electronic Post Office (formerly D2D Service) MSTI SR 52. Enables exteranal systems to submit (through VLER) structured official VA Forms with/without attachment documents and orchestrates temporary storage, virus checking and message durability. When complete, submits form to appropriate Form Submission Service for orchestration This service is not nationally published as of June 2014

This is the experimantal data for submission #814.

The name and postcode of the primary care network or pharmacy contractor. The submission date. The number of vaccines administered. The payment made or to be made. Response A copy of the information is attached. Caveats The NHSBSA calculates payments for Covid Vaccinations to Pharmacies and Primary Care Network (PCN) providers in England. Covid vaccination data is keyed in via Point of Care (POC) Systems and they transferred to the NHSBSA Manage Your Service (MYS) application. Each month, vaccine providers submit claims to request payment based on the data that has been transferred into MYS. To be paid in a timely fashion such claims must be submitted during a specified declaration submission period. Should claims be submitted outside the submission period they will be processed in the following period. Data is limited to 'paid' vaccinations in this request. When considering the nature of the vaccine data there are several ways it can be reported over time: Administration Month - This is the month in which the vaccine was administered to the patient. Payment Month - This is the month in which the payment was made dispenser of the vaccine. Note that all payments for Pharmacies are paid one month later than those for PCN providers. Keying Month - This is the month in which the vaccine record first appeared on the MYS system. Submission/Claim Month - This is the month in which the claim for payment for a vaccination occurred. For example, suppose that a PCN patient is given a covid vaccination dose 1 in January (Administration Month) and then the paper record of this is misplaced for a while. The record is found and keyed into a POC system during February (Keying Month). The Provider is allowed to claim for keying during February in the first 5 days of March, but they're a little late and authorise the claim on the 7th of March (Submission Month). As the claim is outside the submission window it is not paid in March, it will instead be processed during April (Payment Month). Another example could be a Pharmacy patient given a covid vaccination dose 1 in January (Administration Month), keyed in January (Keying Month), then submitted in February (Submission Month) and then payments are calculated in February, however as this is for a pharmacy the payments are held back and not paid until March (Payment Month). For the purposes of this request, we have chosen to report by Administration Month. Data included in this request is limited to covid vaccinations carried out by Pharmacies and co administered flu and covid vaccinations carried out by Primary Care Network (PCN) providers in England. Data included in this request is also limited to vaccinations administered between September 2023 to November 2023 inclusive. The latest data used is a snapshot of the MYS system data that was taken on 7th December 2023. This is the snapshot of data taken after the November 2023 submission period that was used to calculate payments. Pharmacy name and address are as held at this date. This payment data does not include any adjustments made by NHSBSA Provider Assurance as part of post payment verification exercise. These adjustments are made at account level and may relate to several months of activity. Payment data includes payments made and those scheduled for payment in the future. Payments comprise an Item of Service fee and potentially a Supplementary fee. Payments do not relate to the value of the drugs dispensed. The submission date is the date that all doses were submitted with an associated declaration. The total used for the payment calculation may not match the totals shown in 'live' POC systems or MYS that continue to receive updates after the snapshot used to calculate payments was taken. Vaccination records are limited to those which have been associated with a declaration submission. This may include late submission declarations received after the deadline for declarations such records are not processed until the next month. Please note that some vaccinations attract a supplementary fee, so it is not possible to determine the number of vaccinations by dividing the total paid by the basic Item of Service (IoS) fee. It is possible for new records from old administration months to be entered in the future, thus the totals here for each administration month could change when more data is processed.

This dataset contains all of the ideas (projects) proposed by community members about how they think the City should spend a given year’s Participatory Budgeting funds. Each summer, community members submit ideas. Each fall, volunteer Budget Delegates research the ideas, evaluating each one based on feasibility, need, and impact. The Delegates ultimately develop about 20 final projects for the public to vote on in December of each year.

To learn more, please visit http://pb.cambridgema.gov/

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).

the raw data of the submitted papaer"Biocontrol potential of five Trichogramma strains, in three species, against Grapholita molesta"

The Pulp & Paper Effluent Regulations (PPER) were published in 1992 pursuant to the Fisheries Act to control effluent discharges and reduce the impacts of effluents on fish and fish habitat that had been observed at pulp and paper mills across Canada at that time. The Regulations set out limits for certain deleterious substances, prohibit the discharge of effluent that is acutely lethal to rainbow trout, and specify the requirements for carrying out effluent sampling, reporting and environmental effects monitoring (EEM). The Regulations are administered by Environment and Climate Change Canada (ECCC). Regulatory data collected under the PPER has been compiled and formatted by ECCC for the purpose of this data record. This data intends to inform the regulated community, other stakeholders and the interested public on data collected through the PPER, for informational purposes only. Should any discrepancies exist between the original submission and the data presented in this data record, the original data submitted prevails. For any questions concerning the data presented in this record, please contact the Forest Products and Fisheries Act Division at ECCC using the following email: ec.refpppper.ec@canada.ca The files published as part of this record contain daily discharge amounts for suspended solids (SS) and Biochemical Oxygen Demand (BOD), and the results for effect on Daphnia magna testing, and rainbow trout acute lethality testing required under the PPER as reported to ECCC. Each CSV file contains the data mentioned above, as well as the name of the associated mill and outfall(s). Data collection for this dataset is ongoing. Environmental Effects Monitoring (EEM) is a condition governing the authority to deposit effluent under the PPER pursuant to the Fisheries Act. Under the PPER, sublethal toxicity testing on final effluent twice every calendar year is a required component of the EEM. Testing must be conducted using the methods referenced in the PPER. Tests are conducted on freshwater and marine fish, invertebrate and alga species. The dataset includes test results for all sublethal toxicity tests conducted from 2010 to 2019 on the final effluent of all pulp and paper mills in Canada. Sublethal toxicity testing of final effluent continues for all mills in production. Testing results are submitted electronically into a database by mills on an ongoing basis. The dataset is updated annually and is an Excel file exported from the database, which contains for each test a record identifier, mill identifier, cycle name, effluent description, collection date, laboratory, species, LC50 results and IC25 or EC25 results and comments. Supplemental Information The full text of the Regulations outlining all the requirements is published in Part II of the Canada Gazette and is available here: https://laws-lois.justice.gc.ca/eng/regulations/SOR-92-269/FullText.html A Status Report on the Pulp and Paper Effluent Regulations is available here: http://publications.gc.ca/site/eng/9.696144/publication.html The Pulp and Paper Effluent Regulations Annual Report is published here: https://publications.gc.ca/site/eng/9.898066/publication.html

This dataset tracks the updates made on the dataset "NCBI Submission Portal" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "RR Submission Version Data D(December 2012)" as a repository for previous versions of the data and metadata.

This file contains participant response data to Likert scale, open-ended responses and self-reported time taken to complete various tasks related to the extraction exercise. This Excel file also contains:

1) Examples of the Interactive HAWC Visuals that can be created after extracting data into the template. 2) The Initial Post-Extraction Survey Tool ("Survey 1") 3) The Final Post-Pilot Survey Tool ("Survey 2") 4) Survey 2 Results: Willingness to Consider Structured Data During Publication Process (Table 2) 5) Survey 1 Results: Participant Self-Reported Time Spent Performing Various Pilot Tasks (Table 3) 6) Survey 1 Results: Summary of Technical Assistance Provided by Team Members (Table 4) 7) Survey 2 Results: Participant Responses Describing Pilot's Impact on Future Research Activities (Table 5) 8) Survey 1 Results: Initial Survey Likert Scale Results (Table 6) 9) Repeat Extraction: Comparison of the First and Second Data Extraction Experience (Among the Same Participant) 10) Survey 1 Results: Problematic & Easy Fields to Extract.

This dataset is associated with the following publication: Wilkins, A., P. Whaley, A. Persad, I. Druwe, J. Lee, M. Taylor, A. Shapiro, N. Blanton, C. Lemeris, and K. Thayer. Assessing author willingness to enter study information into structured data templates as part of the manuscript submission process: A pilot study. Heliyon. Elsevier B.V., Amsterdam, NETHERLANDS, 8(3): 1-9, (2022).

It is supporting data for the submission entitled "Uncertainty Quantification of Transient-based Leakage Identification: A Frequency Domain Approach" to the WRR journal.

1. All figures in fig format.

2. Experimental data of the Perugia Test [Keramat et al. (2019)].

Keramat, A., Louati, M., Wang, X., Meniconi, S., Brunone, B., Ghidaoui, M.S. (2019). Objective Functions for Transient-Based Pipeline Leakage Detection in a Noisy Environment: Least Square and Matched-Filter. Journal of Water Resources Planning and Management, ASCE, 145(10), 04019042.

Survey data includes spatial datasets and data tables necessary to digitally represent information collected in the survey phase of the study. (Source: FEMA, Guidelines and Standards for Flood Risk Analysis and Mapping.)

DIF records

Directory Interchange Format (DIF) Metadata has been submitted to the Global Change Master Directory as part of the grantee obligation.

In general, any metadata record can be accessed directly through the URL:
http://gcmd.nasa.gov/getdif.htm?[entry_id]

where [entry_id] = the Entry_ID of the metadata record, e.g. wind_stress_GB