The source for raw agency-submitted financial assistance files and quarterly DATA Act files (which include account, contract, financial assistance, and subaward data). This agency data is submitted directly by agencies or pulled in from external federal systems. All data is presented to agency Senior Accountable Officials for review and certification via the DATA Act Broker. These submissions form the primary basis for the data displayed on the USAspending.gov website.

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series. • COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period. • Annual statistics This publication includes annual statistics for the 2019-20 reporting year. Included are the number of People in contact with services - April 2019 to March 2020, and the number of People in contact with services with a hospital provider spell - April 2019 to March 2020, with age group breakdowns for both counts. In addition, the number of children and young people accessing NHS funded community mental health services - April 2019 to March 2020 are published here for the first time (additional information on this measure is included below). Further annual statistics will be published in the annual Mental Health Bulletin. • Children and young people’s access to mental health services, annual statistics For 2019-20, following the introduction of the multiple submission window model (MSWM), increased providers submissions, data quality improvements and developments to the children and young people’s access measure, NHS Digital are publishing the children and young people’s access to mental health services, annual statistics, based on MHSDS within this publication (MHS69 - The number of children and young people, regardless of when their referral started, receiving at least two contacts (including indirect contacts) and where their first contact occurs before their 18th birthday). In 2017-18 and 2018-19 NHS Digital published the results of the CYP Validation exercise, a separate collection jointly developed and commissioned by NHS Digital and NHS England and NHS Improvement, in order to produce the most accurate picture of national end of year position for children and young people’s access to mental health service. The results of the validation exercise were the official statistic and superseded all other statistics produced throughout the year. These publications are available within this publication series. • Early release of statistics To support the ongoing COVID-19 work March 2020 monthly statistics were made available early and presented on our supplementary information pages. https://digital.nhs.uk/data-and-information/supplementary-information/2020/final-march-2020-mental-health-statistics • Children and young people’s access to mental health services and the Multiple Submission Window Model Additional analysis has been undertaken, investigating the impact of the multiple submission window model (MSWM) on the Children and young people’s access to mental health services measure, this analysis will be available on our supplementary information pages. https://digital.nhs.uk/data-and-information/supplementary-information • Perinatal analysis Quarterly perinatal analysis has been included within this publication for the first time since the Final March 2019 publication. All quarters for 2019-20 have also now been published in their respective monthly publications. • Multiple Submission Window Model (MSWM) From April 2020 NHS Digital implemented a multiple submission window model for MHSDS which enabled the resubmission of data throughout the financial year. Following the implementation of the multiple submission window model providers were optionally able to submit/resubmit data for each month of 2019-20 from April 2020 to 21 May 2020. The opportunity to resubmit data for each month of 2019-20 between April 2019 and February 2020 has impacted on the statistics already published for these months. March 2020 statistics, published here, have not been impacted as the opportunity to submit/resubmit data and the submission window for Final March 2020 data coincided. As of January 2021, the statistics for these months are now available within the individual monthly publication pages. Please be aware of the potential impact of the multiple submission window model on previously published data and use these statistics with reference to it. Further information can be found on the NHS Digital Multiple submission window model for MHSDS webpage. https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/mental-health-services-data-set/multiple-submission-window-model-for-mhsds • Additional contextual information from providers unable to complete submissions during the 2019-20 reporting year Providers who were unable to make full use of the multiple submission window model before its close on 21 May 2020 were invited to provide additional information to aid in the understanding of the Official Statistics and this information is presented in the Additional Provider Information Excel file. • Changing existing measures The move to MHSDS version 4.1 from April 2020 brings with it changes to the dataset; the construction of a number of measures have been changed as a result. Improvements in the methodology of reporting delay of discharge has also resulted in a change in the construction of the measure from the April 2020 publication onwards. Full details of these changes and how these changes will impact interpretation of statistics across reporting years will be presented in the April 2020 publication. • New measures A number of new measures will be included in the forthcoming publications in the 2020-21 reporting year: MHS76 Count of people subject to restrictive interventions MHS77 Count of restrictive interventions MHS78 Discharges from adult acute beds eligible for 72 hour follow up in the reporting period MHS79 Discharges from adult acute beds followed up within 72 hours in the reporting period MHS80 Proportion of discharges from adult acute beds eligible for 72 hour follow up - followed up in the reporting period Full details of these new measures (construction, breakdowns, etc.) will be presented within this publication series in the month the new measure is first published. • Early Intervention in Psychosis (EIP) waiting times information The Data Collection Board (DCB) has now approved the decommissioning of the interim collection of Early Intervention in Psychosis (EIP) waiting times information, known as NHS England Unify Collection within this publication. Waiting times for EIP for October 2019 activity onwards are now monitored using data from the Mental Health Services Data Set (MHSDS).

This dataset contains details for each and every qualifying bird species on every Special Protection Area (SPA). Special Protection Areas (SPAs) are strictly protected sites classified in accordance with Article 4 of the EC Birds Directive, which came into force in April 1979. They are classified for rare and vulnerable birds (as listed on Annex I of the Directive), and for regularly occurring migratory species. The EU Commission requires information on each site to be compiled in the form of a Standard Data Form. This dataset is updated every time a new or amended batch of information is submitted to the EU Commission. This dataset contains information drawn from section 3.1 of the Standard Data Form. From December 2015 onwards this included the following fields SITE_CODE SITE_NAME Country LOCAL_AUTHORITY Site_status X_coord (Eastings) Y_coord (Northings) Nowak_code Species Common_name Season Population_count_min Population_count_max Pop_units SPECIES_DATA_QUALITY COUNT_PERIOD IMPORTANCE SPECIES_POPULATION SPECIES_CONSERVATION SPECIES_ISOLATION SPECIES_GLOBAL

The Child File data submission contains case-level data. States submit case-level data by constructing an electronic file of child-specific records for each report of alleged child abuse and neglect that received a CPS response. Only completed reports that resulted in a disposition (finding) during the reporting year are submitted in each state’s data file. The Child File is supplemented by agency-level aggregate statistics in a separate data submission called the Agency File. States are asked to submit both the Child File and the Agency File each year. This codebook shows the data elements included in a Child File submission, along with definitions, values, and technical guidance provided to states.

Metadata-only record linking to the original dataset. Open original dataset below.

The Groundwater Sustainability Plan (GSP) Monitoring dataset contains the monitoring sites and associated groundwater level, subsidence or streamflow measurements collected by Groundwater Sustainability Agencies (GSA) during implementation of their GSP. All data is submitted to the Department of Water Resources (DWR) through the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM).

The GSP Regulations established the monitoring network criteria (23 CCR § 354.34) and the data and reporting standard for monitoring sites and measurements (23 CCR § 352.4). The data fields associated with these datasets were created by DWR to ensure that GSAs electronically submit monitoring site and measurement data which meets the GSP Regulation’s data and reporting standards. For additional information regarding GSAs, GSPs, and SGMA related monitoring, please view DWR’s SGMA Portal Resources at https://sgma.water.ca.gov/portal/.

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

Prevalence of keratoconus and keratoconus suspect and their characteristics on corneal tomography in a population-based study

This statistical release presents the most recent monthly figures for NHS-funded maternity services in England, from data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. Data derived from SNOMED codes is used in some measures such as those for smoking at booking and delivery, and birth weight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2, we are producing a CNST Scorecard Dashboard showing trust performance against this criteria. This dashboard can be accessed via a link below, and now includes final data for July 2023 which is the assessment month for several of the criteria. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.

This is a report on deliveries in English NHS hospitals. This annual publication covers the financial year ending March 2017. For the first time the publication includes data from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset which has been impacted in terms of non-response from providers as they work towards establishing their reporting flows. In 2016-17 MSDS reported 55.9 per cent of the number of deliveries reported in HES based on data submitted by 111 maternity providers. Therefore, caution should be taken when interpreting the data at geographies above reporting organisation level and figures derived from the MSDS data are presented in terms of 'all providers who submitted data to the MSDS' instead of England total figures for 2016-17 This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type and the smoking status of women in early pregnancy. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This document will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England.

Excel spreadsheet detailing a list of all Registered Bodies who have submitted over 1500 applications during the past 12 months (1/1/12 - 31/12/12). The spreadsheet further provides the address of the Registered Body and the volume of applications submitted during this period. Produced for an FOI request.

Sample data for HESS-2019-205 submission

Description: This file contains the event magnitudes and spacing for Cases 1 & 3 presented in the submitted manuscript to HESS titled "Recession analysis 42 years later - work yet to be done".

CVS File: This file is an ordered set of the normalized event magnitude [-] and the start date fo the event (Time/Timescale [-])

Matlab File: The file is presented is in a .mat file extension created in Matlab. The data is divided into 3 columns: mag, value, and start_locs. The column of "Mag" defines the event magnitudes, which are log-normally distributed with a mean 1 of a standard deviation of 1. The column of "value" defines the event duration which has a mean of 2.5 and a standard deviation of 1. The "start_locs" column as the cumulative event durations that identify the start time of each event. Below is the associated Matlab code used to create the file: %% Matlab Code %% mag= lognrnd(1,1[number_of_events,1]); %create log-normally distributed dataset of event magnitudes for a defined number of events mag(mag<0)=1; %remove any negative magnitudes value=round(lognrnd(2.5,1,[number_of_events,1])); %create log-normally distributed dataset of event durations for a defined number of events value(value<=0)=1; %remove any negative durations start_locs=[2;cumsum(value)]; %create cumulative event start time-series

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3396/).

This repository contains the scripts and data used to generate the figures presented in the manuscript. It is divided into two subfolders:

· point_scale_simulations_SCB/ contains the scripts and data to generate Figures 3, 4 and 5 for the simulations at Snow Crested Butte.

· distributed_simulations/ contains the scripts and data to generate Figures 2 and 6 to 11 for the distributed simulations along a transect in Eastern Canada. Observations used in this evaluation are shared in this repository:

o Snow pit data are distributed in the folder distributed_simulations/data/obs/snow_pits/

o Snow cover data from GMASI are distributed in the folder distributed_simulations/data/obs/gmasi

The configuration files used for the 1D and 2D simulations presented in the manuscript are also available in their respective subfolders. Readme files are present in the different subfolders to guide the user.

Instructions and guidance materials on how to prepare your research data for sharing and long-term access and how to deposit your research data in the University of Guelph Research Data Repositories (Data Repositories).How the Data Repositories work: Upon request, depositors are given dataset creator access to a collection in the Data Repositories allowing them to create new draft dataset records and submit their draft datasets for review. Repository staff review all submitted datasets for alignment with repository policies and data deposit guidelines. Repository staff will work with depositors to make any required changes to the metadata, data files, and/or supplemental documentation to improve the FAIRness (findability, accessibility, interoperability, and reusability) of the dataset. When the dataset is ready, repository staff will make the dataset publicly available in the repository on behalf of the depositor. How to start the deposit process:First time depositor?: Create a repository account using your U of G credentials by going to the repository log in page. On this page, under the ‘Your Institution’ section, select University of Guelph from the drop-down menu and click Continue. Follow the instructions to link the repository to your U of G central login credentials.Complete the U of G Research Data Repositories Data Deposit Intake Form online survey.Already have dataset creator access to your home department's collection? Simply log in using your U of G credentials and begin a new deposit.

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

Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction

• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.

• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.

• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.

• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.

• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.

• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)

and adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

This dataset contains the field observations and experimental data presented in the paper “Plants face the flow in V-formation: a study of plant patch alignment in streams”, with the above contributors as authors, submitted to Limnology and Oceanography. The dataset contains the underlying data (drag and hydrodynamic measurements, and temporal in-stream vegetation surveys) presented in the manuscript.

Thailand (FDI) Foreign Direct Investment: Number of Application Submitted: Japan data was reported at 240.000 Unit in Sep 2018. This records an increase from the previous number of 135.000 Unit for Jun 2018. Thailand (FDI) Foreign Direct Investment: Number of Application Submitted: Japan data is updated quarterly, averaging 135.000 Unit from Mar 2018 (Median) to Sep 2018, with 3 observations. The data reached an all-time high of 240.000 Unit in Sep 2018 and a record low of 65.000 Unit in Mar 2018. Thailand (FDI) Foreign Direct Investment: Number of Application Submitted: Japan data remains active status in CEIC and is reported by Board of Investment. The data is categorized under Global Database’s Thailand – Table TH.O026: Foreign Direct Investment: Board of Investment: Application Submitted: By Country and Industry.

Increase the number of new patents filed in Oklahoma from 604 in 2013 to 633 by 2017.