To use the document, click on the link above and scroll to the link on the page titled “View the January 2024 Drug Tariff online”. Once in the file, use the search function on the left-hand side to search for ‘contraceptive’. Click on the link(s) that appear, and you will be able to see a breakdown of the products available and the cost in pence to the NHS. Data on prescribing volumes and costs for English dispensing in the community can be found in the published Prescription Cost Analysis statistics (PCA), this data is classified against what is considered to be the 'main' therapeutic use for the pharmaceutical 'presentation' expressed using the (pseudo) British National Formulary (BNF) hierarchy. The tables include a breakdown with each pharmaceutical presentation reported separately. https://www.nhsbsa.nhs.uk/statistical-collections/prescription-cost-analysis-england To use the document, click on the link above and scroll to the “Resource List”. From here you can choose to view the data on a national scale or narrowed down to local ICB level. Once in the file, we recommend downloading the file in order to filter the columns for ease of access. We recommend using the National Summary Tables and viewing Table 6: BNF presentation level data. Within this file you can filter by name in column C or the measurement in column D. We recommend that you access this data knowing the names of the medication, devices or patches you require. Please be aware of the PCA methodology which may be relevant depending on interpretation. https://nhsbsa-opendata.s3.eu-west-2.amazonaws.com/pca/pca_background_info_methodology_v001.html The basis of the cost information included in the PCA data is described in the 'metadata' section included with the release and relates to the amount included in the reimbursement. NHSBSA prescription data only covers prescription items that have been submitted for reimbursement by community NHS dispensing contractors - this does not include any direct purchases made by other parts of the NHS (for example hospitals or other facilities that are operated by NHS Trusts). The NHS Business Services Authority does not hold data - including cost information - about appointments.

This Special Eurobarometer survey on nature-based solutions (No 444) investigates Europeans’ perceptions of and engagement with nature-based solutions and whether they perceive there to be any significant environmental and urban or socio-economic problems in the area in which they live. #####The results by volumes are distributed as follows: * Volume A: Countries * Volume AA: Groups of countries * Volume A' (AP): Trends * Volume AA' (AAP): Trends of groups of countries * Volume B: EU/socio-demographics * Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: http://www.gesis.org/en/home/

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and financial systems. Domain experts are often interested in searching for interesting multivariate patterns from these MTS databases which can contain up to several gigabytes of data. Surprisingly, research on MTS search is very limited. Most existing work only supports queries with the same length of data, or queries on a fixed set of variables. In this paper, we propose an efficient and flexible subsequence search framework for massive MTS databases, that, for the first time, enables querying on any subset of variables with arbitrary time delays between them. We propose two provably correct algorithms to solve this problem — (1) an R-tree Based Search (RBS) which uses Minimum Bounding Rectangles (MBR) to organize the subsequences, and (2) a List Based Search (LBS) algorithm which uses sorted lists for indexing. We demonstrate the performance of these algorithms using two large MTS databases from the aviation domain, each containing several millions of observations. Both these tests show that our algorithms have very high prune rates (>95%) thus needing actual disk access for only less than 5% of the observations. To the best of our knowledge, this is the first flexible MTS search algorithm capable of subsequence search on any subset of variables. Moreover, MTS subsequence search has never been attempted on datasets of the size we have used in this paper.

The BMDV open data portal mCLOUD offers a Export interface (REST-API) via the data as RDF according to the DCAT-AP.de specification or can be exported as CSV.

Export as DCAT-AP.de in RDF/XML:

Basic path: https://mcloud.de/export/datasets

Export as CSV:

Basic path: https://mcloud.de/export/csv/datasets

Parameters:

The parameters in the requests are based on the parameters in the portal for a remote search (URL).
At the end of a hit page in the portal, the export is always offered. So one possibility is to search the portal as normal and then copy the export URL at the end of a page.

Individual data set

A single data set can be retrieved by appending the UUID.
E.g. https://mcloud.de/export/datasets/922e436b- 2f0d-42d7-b3f4-528debab8b87
This export is directly available in the mCLOUD in the data record as a "link to the metadata".

Predefined filters:

All data sets that have been added in the last 24 hours:
filter=newdatasets
https://mcloud.de/export/datasets?filter=newdatasets

All datasets that were changed in the last 24 hours (also includes newly added sets):
filter=modifieddatasets
https://mcloud.de/export/datasets?filter=modifieddatasets

Paging (default):

pageSize=10 (number of sentences on one page)
page=1 (display first page)
https://mcloud.de/export/datasets?page=1&pageSize=10

Im DCAT-AP.de export always includes navigation information at the beginning:
itemsPerPage (= pageSize parameter)
totalItems (total number)
firstPage (= first page for page parameter)
lastPage (= last page for page parameter)

Search term:

< i>query=Vehicle
https://mcloud.de/export/ datasets?query=Vehicle

Search facet:

aggs=...
The facet is then specified exactly as in the portal request. Please note the coding:
format%3ACSV = type of access "CSV"
categories%3Aroads = category "road"
format%3ACSV%40%40categories%3Aroads = type of access "CSV" AND category "road"

Together:
aggs=format%3ACSV %40%40categories%3Aroads
https ://mcloud.de/export/datasets?aggs=format%3ACSV%40%40categories%3Aroads

Here is the search in the portal, you can use this as a guide:
https://mcloud .de/web/guest/suche/-/results/filter/auto/format%3ACSV%40%40categories%3Aroads/0
At the end of the page there is also the link (as RDF):
https://mcloud.de/export/datasets?page=1&pageSize=1147&sortOrder=desc&sortField=latest&aggs=format%3ACSV%40%40categories%3Aroads

Sort field:

No entry sorted by ID of the datasets
sortField=relevance (relevance)
sortField=latest (actuality)

Sort order:

sortOrder=asc (ascending, default)
sortOrder=desc (descending)

NASA provides a number of lunar samples for display at museums, planetariums, and scientific expositions around the world. Lunar displays are open to the public. This is a database of every location around the planet displaying returned lunar samples from the Apollo missions.

al.at) we generated two word clouds separately for each of the portals. We retrieved the metadata through the WU’s Open Data Portal Watch API and processed all the dataset titles using wordcloud.

Check out our open source code on GitHub and stay tuned for further updates!**About the project**: The CommuniData project aims to bring Open Data closer to local communities, i.e. enhance usability of Open Data and its accessibility for non-expert users. CommuniData is a cooperation between the WU Vienna, the companies cbased and webLyzard, and the Urban Renewal Office of the Vienna’s Second District. It is supported by the Austrian Research Promotion Agency FFG.

Scientists working on the Hawaii Ocean Time-series (HOT) program have been making repeated observations of the hydrography, chemistry and biology of the water column at a station north of Oahu, Hawaii since October 1988. The objective of this research is to provide a comprehensive description of the ocean at a site representative of the North Pacific subtropical gyre. Cruises are made approximately once per month to the deep-water Station ALOHA (A Long-Term Oligotrophic Habitat Assessment) located 100 km north of Oahu, Hawaii. Measurements of the thermohaline structure, water column chemistry, currents, optical properties, primary production, plankton community structure, and rates of particle export are made on each cruise.

The Global Population Count Grid Time Series Estimates provide a back-cast time series of population grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population count grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set.

Under Section 21 of the Act, we are not required to provide information in response to a request if it is already reasonably accessible to you. The information you requested is available from web link: https://opendata.nhsbsa.net/dataset/foi-23358 Data for January 2022 and February 2022 A copy of the information is attached. NHS Prescription Services process prescriptions for Pharmacy Contractors, Appliance Contractors, Dispensing Doctors and Personal Administration with information then used to make payments to pharmacists and appliance contractors in England for prescriptions dispensed in primary care settings (other arrangements are in place for making payments to Dispensing Doctors and Personal Administration). This involves processing over 1 billion prescription items and payments totalling over £9 billion each year. The information gathered from this process is then used to provide information on costs and trends in prescribing in England and Wales to over 25,000 registered NHS and Department of Health and Social Care users. Data source Source System - ISP (National MIS Files) Time period January 2022 and February 2022 The month refers to the month of the report. Please note Appliance Contractors data within the MIS Report shows data for the following month. (E.g. MIS Report for January 2022 will show February 2022 Appliance Contractor data) This dataset FOI25450 has 4 files – January and February 2022 MIS Pharmacy and January and February 2022 MIS Appliance Contractor. This report consists of a management information file detailing monthly Community Pharmacy and Appliance Payments by type of payment and contractor account. Payments include all drug costs, fees, patient charges, locally authorised payments, etc. Other details such as the numbers of items dispensed, patient’s charges collected are also included. The management information file reflects the contractor's payment and prescription data associated with the sustainability and transformation partnerships (STPs) structure at the relevant payment date. The data contained within the files can be interpreted correctly by using the ‘MIS Glossary’ available under ‘Management Information Spreadsheet (MIS) Report’ at https://www.nhsbsa.nhs.uk/information-services-portal-isp/isp-report-information . Disclosure Control The data in column METHADONE PAYMT and ADD FEE-2E within the Pharmacy dataset have been removed following Information Governance policy. February 2022 is the latest MIS report that is available Please note that this request and our response is published on our Freedom of Information disclosure log at:

Datasets used in paper: Telesca L. and Z. Czechowski, Fisher–Shannon Investigation of the Effect of Nonlinearity of Discrete Langevin Model on Behavior of Extremes in Generated Time Series, Entropy 2023, 25, 1650.

A log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

This paper is about applying recurrent least squares support vector machines (LS-SVM) on three ESTSP08 competition datasets. Least squares support vector machines are used as nonlinear models in order to avoid local minima problems. Then prediction task is re-formulated as function approximation task. Recurrent LS-SVM uses nonlinear autoregressive exogenous (NARX) model to build nonlinear regressor, by estimating in each iteration the next output value, given the past output and input measurements.

For 12 months, air temperature was measured at a height of 2 m above the ground at the upper forest line in the Tatras. The aim of these studies was to show the relationship between terrain forms (concave and convex) on air temperature. The lowest air temperature value was characteristic of concave terrain forms and in them the upper forest line ran lower than on convex terrain forms.

The effect of increased UV-B radiation on plant stress is monitored indirectly by measuring chlorophyll fluorescence in three series of plots: Controls, plots with a filter excluding UV-B, and filter controls with a film without exclusion of UV-B. Measurements of chlorophyll fluorescence are carried out on Betula nana and Vaccinium uliginosum in a mesic dwarf shrub heath dominated by Empetrum nigrum and with B. nana and V. uliginosum as subdominant species. For further details, please refer to the newest BioBasis manual available at the website. Vegetation:Vegetation BioBasis Nuuk:The BioBasis programme monitors the dynamics of organisms and biological processes in the terrestrial and limnic ecosystems at Zackenberg and Nuuk. The BioBasis programme plays a central role in the development and implementation of the Circumpolar Biodiversity Monitoring Programme (CBMP) http://www.caff.is/monitoring across the Arctic.

Gross domestic product (GDP) at current market prices by NUTS 2 regions [nama_10r_2gdp] 2000 - 2016 Source: EUROSTAT: GDP at current market prices by NUTS2 region. http://appsso.eurostat.ec.europa.eu/nui/show.do Related to: "Selected indicators for elements of the simplified Faial-Pico Channel SES, current levels, baseline trends (2018-2050), and discussion"

The dataset provides basic information of the FFS providers enrolled in the Medi-Cal program as of July 1, 2025. The data was retrieved from the Provider Master File (PMF), which has been used in the claims payment process and maintained by the Provider Enrollment Division (PED). The Variables in the dataset include provider number, name, type, specialty, geographic information, etc. This dataset does not include the Managed Care providers.

Spectral indices from different ecosystems within the SITES Spectral network, collected by phenocameras on towers. Records are averaged daily from phenocam composites of photos from 10 a.m. to 2 p.m. within specific regions of interest (ROI). Skogaryd Research Catchment (2022). Phenocam - Green and Red Chromatic Coordinates time series from Skogaryd Central, Mast 3m Phenocam 02, 2018–2019 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/cf_zez773hl7Gb_MFxSZ_Lk_

Time period - January 2022 and February 2022 The month refers to the month of the report. Please note Appliance Contractors data within the MIS Report shows data for the following month. (E.g. MIS Report for January 2022 will show February 2022 Appliance Contractor data)

Spectral indices from different ecosystems within the SITES Spectral network, collected by phenocameras on towers. Records are averaged daily from phenocam composites of photos from 10 a.m. to 2 p.m. within specific regions of interest (ROI). Svartberget Research Station (2022). Phenocam - Green and Red Chromatic Coordinates time series from Svartberget Experimental Forest, Mast 70m Phenocam 01, 2019–2021 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/9jZNuQ_LCuJ96LBoSmKM3xdt

There is a completed file for each month. FOI8592 has 2 files (February 2019 and March 2019) Source System – ISP (National MIS Files) NHSBSA Prescription Services process prescriptions for Pharmacy Contractors, Appliance Contractors, Dispensing Doctors and Personal Administration with information then used to make payments to pharmacists and appliance contractors in England for prescriptions dispensed in primary care settings (other arrangements are in place for making payments to Dispensing Doctors and Personal Administration). This involves processing over 1 billion prescription items and payments totalling over £9 billion each year. The information gathered from this process is then used to provide information on costs and trends in prescribing in England and Wales to over 25,000 registered NHS and Department of Health and Social Care users. This report consists of a management information file detailing monthly Community Pharmacy and Appliance Payments by type of payment and contractor account. Payments include all drug costs, fees, patient charges, locally authorised payments, etc. Other details such as the numbers of items dispensed, patient’s charges collected are also included. The management information file reflects the contractor's payment and prescription data associated with the sustainability and transformation partnerships (STPs) structure at the relevant payment date. The data contained within the files can be interpreted correctly by using the ‘MIS Glossary’ available under ‘Management Information Spreadsheet (MIS) Report’ at https://www.nhsbsa.nhs.uk/information-services-portal-isp/isp-report-information . The data in column METHADONE PAYMT and ADD FEE-2E within the Pharmacy dataset have been removed following Information Governance policy. Appliance Contractors data within the MIS- Report shows data for the following month. (E.g. MIS-Report for January 19 will show February 19 Appliance Contractor data). Previous requests and months provided – please add new requests to this.