This dataset contains Data Availability Statements from 47,593 papers published in PLOS ONE between March 2014 (when the policy went into effect) and May 2016, analyzed for type of statement.

Categories used to classify the data availability statements.

Figure 1 – Abundance Data Availability (2022). Note: 2020 also attached.

Code and data availability for WIce-FOAM 1.0: a two-dimensional numerical model developed at the 5-kilometre scale using OpenFOAM-v2306, which couples the dynamics and thermodynamics of heterogeneous sea ice under wave forcing in the Antarctic marginal ice zone.

Data availability as described in the voluntary national reviews, EMR.

This record is for Approval for Access (AfA) product AfA445. The Water Resource Availability and Abstraction Reliability Cycle 2 dataset indicates whether, and for what percentage of time, additional water may be available for consumptive abstraction (subject to assessment of local risks) for each Water Framework Directive Cycle 2 water body. Each water body is colour coded as follows: • Green - Water available for licensing • Yellow - Restricted water available for licensing • Red - Water not available for licensing • Grey - Heavily Modified Waterbodies (and /or discharge rich water bodies) This data is not raw, factual or measured. It comprises of estimated or modelled results showing expected outcomes based on the data available to us. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Active mobility, especially cycling, is an essential building block for sustainable urban mobility. Public and private stakeholders are striving to improve conditions for cycling and subsequently increase its modal share. Data are regarded as key for different measures to become efficient and targeted. There is extensive evidence for an increasing amount of mobility data, availability of new data sources and potential usage scenarios for such data. However, little is known about the current use of these data in policy making, planning and related fields. To the best of our knowledge, it has not been investigated yet to which degree professionals in the broader field of cycling promotion benefit from an increasing amount of cycling-related data. Thus, we conducted a multi-lingual online survey among domain professionals and acquired data on their perspectives on current data availability, use and suitability as well as the potential they see for the use of cycling data in the future. In total, we received 325 complete responses from 32 countries, with the vast majority of 241 valid responses originating from Germany, Austria and Italy. Key findings are: 84% of domain professionals attribute high importance to data, and 89% state that they currently cannot or only partly solve their tasks with the data available to them. Results emphasize the need for making more and better suited data available to professionals in cycling-related positions, in both the private and public sector.

Read the full publication: https://doi.org/10.3390/data6110121

A transmit beamforming method in underwater acoustic mobile betworks

Figure Data Availability

The data include HBV-light parameter sets and (best) simulations at the outlet of the Upper Blue Nile basin using three rainfall products (ARC2, CHIRPS, and PERSIANN-CDR).

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures:

2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

2020 and earlier: All available figures are definite.

Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

When will new figures be published? New figures will be published in December 2025.

Abstract

The dataset was derived by the Bioregional Assessment Programme from 'Streamflow unified NSW' dataset. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Provides summary of the amount of \good\ quality stream flow data for selected gauging stations in the Richmond river basin.

Purpose

To highlight which gauging stations have long periods of record with good quality data.

Dataset History

This dataset is a summary of the unified dataset which has already been registered (see Lineage).

Dataset Citation

Bioregional Assessment Programme (2015) CLM - Richmond Streamflow data availability. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/8ebaa843-7a61-4813-be75-360759c79fef.

Dataset Ancestors

• Derived From CLM - NSW River Gauge pdf documents.

• Derived From CLM - Streamflow unified NSW

• Derived From CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901

The table NE- Demographic Data is part of the dataset Demographic Data, available at https://columbia.redivis.com/datasets/fh74-90v3ge9m2. It contains 1182076 rows across 699 variables.

The NSTA has recently purchased digital well data from CGG for an additional 2235 E&A wells. These have been selected from across the UKCS to complement the existing joined digital well logs that the NSTA has previously released either in support of licence rounds (e.g. 30th Licensing Round, Greater Buchan Area Supplementary Round) or as part of the Government Seismic Data initiatives. Where available, the NSTA has purchased joined digital well logs, deviation data and checkshot data for these additional wells. These data have been loaded to the National Data Repository (NDR). The NSTA’s Well Data Availability layer has also been updated to reflect which well data has been purchased. These data are being released under the OGA Licence (OGAL), the terms of which are available on download from the NDR.

In this dataset, I exhibit the "Raw Data" and "Processed Data" for the toughness modification of high-performance PEI/PBT blends with PTFE.

The table MT- Demographic Data is part of the dataset Demographic Data, available at https://columbia.redivis.com/datasets/fh74-90v3ge9m2. It contains 677876 rows across 699 variables.

Strategic interactions among rational, self-interested actors are commonly theorized in the behavioral, economic, and social sciences. The theorized strategic processes have traditionally been modeled with multi-stage structural estimators, which improve parameter estimates at one stage by using the information from other stages. Multi-stage approaches, however, impose rather strict demands on data availability: data must be available for the actions of each strategic actor at every stage of the interaction. Observational data are not always structured in a manner that is conducive to these approaches. Moreover, the theorized strategic process implies that these data are missing not at random. In this paper, I derive a strategic logistic regression model with partial observability that probabilistically estimates unobserved actor choices related to earlier stages of strategic interactions. I compare the estimator to traditional logit and split-population logit estimators using Monte Carlo simulations and a substantive example of the strategic firm–regulator interaction associated with pollution and environmental sanctions.

This document will provide you with some things to consider if you want or need to make your data available to others. This document is freely available under a Creative Commons license in PDF format.

These data quantify the results of a two year data archiving effort by a small group of researchers and students at the National Center for Ecological Analysis and Synthesis at UC Santa Barbara in collaboration with the Gulf Watch Alaska synthesis group and funded by the Exxon Valdez Oil Spill Trustee Council (EVOSTC). The EVOSTC was formed following the Exxon Valdez oil spill in Alaska in 1989. Since then, the EVOSTC has funded hundreds of projects and in 2012 we began a project to recover and archive the data collected during these EVOSTC funded projects. These data and analyses summarize the archiving project results and inform a manuscript (Funder imposed data publication requirements seldom inspire data sharing) in which we ask 5 main questions about the data collected from the Exxon Valdez Oil Spill Trustee Council funded projects: 1. Twenty-five years after the EVOS, for how many projects funded by EVOSTC can we collect data? 2. Are there certain research fields that are more likely to make data available than others? 3. Are there certain sectors that are more likely to make data available than others? 4. Is the availability of data correlated to how old the data are? 5. Why did people refuse to share their data?

The data here are a quantification of the responses to data outreach efforts, a data analysis script and results PDF as well as a figures script and output figures PDF.

Mobility/Location data is gathered from location-aware mobile apps using an SDK-based implementation. All users explicitly consent to allow location data sharing using a clear opt-in process for our use cases and are given clear opt-out options. Factori ingests, cleans, validates, and exports all location data signals to ensure only the highest quality of data is made available for analysis.

Record Count:90 Billion+ Capturing Frequency: Once per Event Delivering Frequency: Once per Day Updated: Daily

Mobility Data Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited interval (daily/weekly/monthly/quarterly).

Business Needs: Consumer Insight: Gain a comprehensive 360-degree perspective of the customer to spot behavioral changes, analyze trends and predict business outcomes. Market Intelligence: Study various market areas, the proximity of points or interests, and the competitive landscape. Advertising: Create campaigns and customize your messaging depending on your target audience's online and offline activity. Retail Analytics Analyze footfall trends in various locations and gain understanding of customer personas.

Here's the data attributes: maid latitude longtitude horizontal_accuracy timestamp id_type ipv4 ipv6 user_agent country state_hasc city_hasc hex8 hex9 carrier