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Data from: Continuous-time spatially explicit capture-recapture models, with...
- data.niaid.nih.gov
- dataone.org
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zipUpdated Apr 21, 2014
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EmailClick to copy linkLink copiedCiteRebecca Foster; Bart Harmsen; Lorenzo Milazzo; Greg Distiller; David Borchers (2014). Continuous-time spatially explicit capture-recapture models, with an application to a jaguar camera-trap survey [Dataset]. http://doi.org/10.5061/dryad.mg5kvzipAvailable download formatsUnique identifierhttps://doi.org/10.5061/dryad.mg5kvDataset updatedApr 21, 2014Dataset provided byUniversity of Cambridge
University of Belize
University of St Andrews
University of Cape TownAuthorsRebecca Foster; Bart Harmsen; Lorenzo Milazzo; Greg Distiller; David BorchersLicensehttps://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Area coveredBelize, Cockscomb Basin Wildlife SanctuaryDescriptionMany capture-recapture surveys of wildlife populations operate in continuous time but detections are typically aggregated into occasions for analysis, even when exact detection times are available. This discards information and introduces subjectivity, in the form of decisions about occasion definition. We develop a spatio-temporal Poisson process model for spatially explicit capture-recapture (SECR) surveys that operate continuously and record exact detection times. We show that, except in some special cases (including the case in which detection probability does not change within occasion), temporally aggregated data do not provide sufficient statistics for density and related parameters, and that when detection probability is constant over time our continuous-time (CT) model is equivalent to an existing model based on detection frequencies. We use the model to estimate jaguar density from a camera-trap survey and conduct a simulation study to investigate the properties of a CT estimator and discrete-occasion estimators with various levels of temporal aggregation. This includes investigation of the effect on the estimators of spatio-temporal correlation induced by animal movement. The CT estimator is found to be unbiased and more precise than discrete-occasion estimators based on binary capture data (rather than detection frequencies) when there is no spatio-temporal correlation. It is also found to be only slightly biased when there is correlation induced by animal movement, and to be more robust to inadequate detector spacing, while discrete-occasion estimators with binary data can be sensitive to occasion length, particularly in the presence of inadequate detector spacing. Our model includes as a special case a discrete-occasion estimator based on detection frequencies, and at the same time lays a foundation for the development of more sophisticated CT models and estimators. It allows modelling within-occasion changes in detectability, readily accommodates variation in detector effort, removes subjectivity associated with user-defined occasions, and fully utilises CT data. We identify a need for developing CT methods that incorporate spatio-temporal dependence in detections and see potential for CT models being combined with telemetry-based animal movement models to provide a richer inference framework.
Data from: Nitrogen addition alleviates the adverse effects of drought on...
- figshare.com
txtUpdated Feb 3, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteYonghong Luo; Zhuwen Xu (2024). Nitrogen addition alleviates the adverse effects of drought on plant productivity in a temperate steppe [Dataset]. http://doi.org/10.6084/m9.figshare.25137836.v1txtAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.25137836.v1Dataset updatedFeb 3, 2024AuthorsYonghong Luo; Zhuwen XuLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionN-Dr datasetData associated with the following paper：Title: Nitrogen addition alleviates the adverse effects of drought on plant productivity in a temperate steppe Author: Yonghong Luo, Lan Du, Jiatao Zhang, Haiyan Ren, Yan Shen, Jinbao Zhang, Na Li, Ru Tian, Shan Wang, Heyong Liu, Zhuwen XuJournal: Ecological ApplicationsDescription of the data and file structureThe uploaded .csv file includes means of variables calculated across the sampling period (2019-2021) (N-Dr dataset.csv).Description of variables included in N-Dr dataset.csv:* Block (categorical data): Block* Drought (categorical data): Drought treatment, D0 for ambient precipitation, D1 for excluding precipitation in June in each year, D2 for reducing half precipitation amount from June to August in each year, D3 for reducing half precipitation frequency without changing precipitation amount from June to August in each year* Nitrogen (categorical data): Nitrogen addition treatment, N0 for ambient nitrogen and N1 for addition of 10 g N m-2 yr-1;* SM (continuous data): Soil moisture;* Soil IN (continuous data): Soil inorganic nitrogen concentration;* NRI (continuous data): The net relatedness index;* Species richness (continuous data): Species richness;* FDis (continuous data): Functional dispersion;* CWMPH (continuous data): Community weighted mean of plant stature;\ * CWMLA (continuous data): Community weighted mean of leaf area;* CWMSLA (continuous data): Community weighted mean of specific leaf area;* CWMLDMC (continuous data): Community weighted mean of leaf dry matter content (LDMC);* CWMSDMC (continuous data): Community weighted mean of stem dry matter content (SDMC);* CWMSLR (continuous data): Community weighted mean of stem leaf ratio (SLR);* CWMLN (continuous data): Community weighted mean of leaf nitrogen concentration (LN);* ANPP (continuous data): Community aboveground net primary productivity;\
Taking Part 2013/14 quarter 2 statistical release
- gov.uk
Updated Dec 12, 2013+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2013). Taking Part 2013/14 quarter 2 statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-201314-quarter-2-statistical-releaseDataset updatedDec 12, 2013AuthorsDepartment for Digital, Culture, Media & SportDescriptionThe Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old. This latest release presents rolling estimates incorporating data from the first two quarters of year 9 of the survey.
As detailed in the last statistical release and on our consultation pages in March 2013, the responsibility for reporting Official Statistics on adult sport participation now falls entirely with Sport England. Sport participation data are reported on by Sport England in the Active People Survey.
Released:
12 December 2013
Period covered:
October 2012 to September 2013
Geographic coverage:
National and Regional level data for England.
Next release date:
A release of rolling annual estimates for adults is scheduled for March 2014.
Summary:
The latest data from the 2013/14 Taking Part survey provides reliable national estimates of adult and child engagement with archives, arts, heritage, libraries and museums & galleries. This release builds on the data previously published from quarters 3 and 4 in 2012 to 2013 to look at a number of areas in depth and present measures that begin to consider broader definitions of participation in our sectors.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets:
These spreadsheets contain the data and sample sizes to support the material in this release.
Meta-data:
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release:
The previous adult Taking Part release was published on 26 September 2013. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
Pre-release access:
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority:
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 12 December 2013. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Tom Knight (020 7211 6021), Penny Allen (020 7211 6106) or Sam Tuckett (020 7211 2382). For any queries please contact them or the Taking Part team at takingpart@culture.gsi.gov.uk.
Taking Part 2013/14 quarter 3 statistical release
- gov.uk
Updated Mar 27, 2014+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2014). Taking Part 2013/14 quarter 3 statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-201314-quarter-3-statistical-releaseDataset updatedMar 27, 2014AuthorsDepartment for Digital, Culture, Media & SportDescriptionThe Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old. This latest release presents rolling estimates incorporating data from the first three quarters of year 9 of the survey.
As detailed in the last statistical release and on our consultation pages in March 2013, the responsibility for reporting Official Statistics on adult sport participation now falls entirely with Sport England. Sport participation data are reported on by Sport England in the Active People Survey.
Released:
27 March 2014
Period covered:
January 2013 to December 2013
Geographic coverage:
National and Regional level data for England.
Next release date:
A release of rolling annual estimates for adults is scheduled for June 2014.
Summary:
The latest data from the 2013/14 Taking Part survey provides reliable national estimates of adult and child engagement with archives, arts, heritage, libraries and museums & galleries.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets:
These spreadsheets contain the data and sample sizes to support the material in this release.
Meta-data:
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release:
The previous adult Taking Part release was published on 12 December 2013. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
Pre-release access:
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority:
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 27 March 2014. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Tom Knight (020 7211 6021), or Sam Tuckett (020 7211 2382). For any queries please contact them or the Taking Part team at takingpart@culture.gsi.gov.uk. ..
Taking Part 2011/12 quarter 4: Statistical release
- gov.uk
Updated Sep 2, 2012ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2012). Taking Part 2011/12 quarter 4: Statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-2011-12-quarter-4-statistical-releaseDataset updatedSep 2, 2012AuthorsDepartment for Digital, Culture, Media & SportDescriptionIt is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old. This latest releases presents rolling estimates incorporating data from the fourth quarter of year seven of the survey.
Released
28 June 2012
Period covered
April 2011 to March 2012
Geographic coverage
National and Regional level data for England.
Next release date
The annual taking part survey report for the year 2011 to 2012 is scheduled for release at the end of August 2012.
Summary
The latest data from the 2011 to 2012 Taking Part survey provides reliable national estimates of adult and child engagement with sport, libraries, the arts, heritage and museums and galleries.
This release builds on the data from 2010 to 2011 and data from quarter 1, 2 and 3 releases of data from earlier in 2011 to 2012 to look at a number of areas in depth and present measures that begin to consider broader definitions of participation in our sectors.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Meta-data
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release
The previous Taking Part release was published on 29 March 2012 and can be found online. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
Pre-release access
The document below contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 28 June 2012. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Tom Knight (020 7211 6021) and Penny Allen (020 7211 6106).
For any queries please contact them or the Taking Part team at takingpart@culture.gsi.gov.uk.
Taking Part 2012/13 Quarter 3: Statistical Release
- gov.uk
Updated Mar 21, 2013+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2013). Taking Part 2012/13 Quarter 3: Statistical Release [Dataset]. https://www.gov.uk/government/statistics/taking-part-2012-13-quarter-3-statistical-releaseDataset updatedMar 21, 2013AuthorsDepartment for Digital, Culture, Media & SportDescriptionThe Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old. This latest releases presents rolling estimates incorporating data from the third quarter of year 8 of the survey.
Released
21 March 2013
Period covered
January to December 2012
Geographic coverage
National and Regional level data for England.
Next release date
A release of rolling annual estimates for adults, including the fourth quarter of the 2012 to 2013 survey year, is scheduled for June 2013.
Summary
The latest data from the 2012 to 2013 Taking Part survey provides reliable national estimates of adult and child engagement with sport, libraries, the arts, heritage and museums & galleries. This release builds on the data from previous years and data from quarter 2, 3 and 4 releases of data from 2011 to 2012 and quarters 1 and 2 from 2012 to 2013 to look at a number of areas in depth and present measures that begin to consider broader definitions of participation in our sectors.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets
These spreadsheets contain the data and sample sizes to support the material in this release:
Meta-data
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release
The previous Taking Part release was published on 13 December 2012. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
Pre-release access
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 28 June 2012. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Tom Knight (020 7211 6021), Penny Allen (020 7211 6106) and Sam Tuckett (020 7211 2382).
For any queries please contact them or the Taking Part team at takingpart@culture.gsi.gov.uk.
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Discrete and daily-aligned groundwater levels, metadata, and other...
- data.usgs.gov
- s.cnmilf.com
- +1more
+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteAngela Robinson; Erik Wojtylko; William Asquith; Ronald Seanor; Courtney Killian; Virginia McGuire, Discrete and daily-aligned groundwater levels, metadata, and other attributes useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain, 1980–2019 [Dataset]. http://doi.org/10.5066/P9O3XGBKUnique identifierhttps://doi.org/10.5066/P9O3XGBKAuthorsAngela Robinson; Erik Wojtylko; William Asquith; Ronald Seanor; Courtney Killian; Virginia McGuireLicenseU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automaticallyTime period coveredJan 1, 1980 - Dec 31, 2019Area coveredMississippi River Alluvial Plain, Mississippi RiverDescriptionA combination of discrete and daily-aligned groundwater levels for the Mississippi River Valley alluvial aquifer clipped to the Mississippi Alluvial Plain, as defined by Painter and Westerman (2018), with corresponding metadata are based on processing of U.S. Geological Survey National Water Information System (NWIS) (U.S. Geological Survey, 2020) data. The processing was made after retrieval using aggregation and filtering through the infoGW2visGWDB software (Asquith and Seanor, 2019). The nomenclature GWmaster mimics that of the output from infoGW2visGWDB. Two separate data retrievals for NWIS were made. First, the discrete data were retrieved, and second, continuous records from recorder sites with daily-mean or other daily statistics codes were retrieved. Each dataset was separately passed through the infoGW2visGWDB software to create a "GWmaster discrete" and "GWmaster continuous" and these tables were combined and then sorted on the site identifier and date to form the data ...
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PlotTwist: A web app for plotting and annotating continuous data
- figshare.com
- plos.figshare.com
docxUpdated Jun 1, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJoachim Goedhart (2023). PlotTwist: A web app for plotting and annotating continuous data [Dataset]. http://doi.org/10.1371/journal.pbio.3000581docxAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pbio.3000581Dataset updatedJun 1, 2023Dataset provided byPLOS BiologyAuthorsJoachim GoedhartLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionExperimental data can broadly be divided in discrete or continuous data. Continuous data are obtained from measurements that are performed as a function of another quantitative variable, e.g., time, length, concentration, or wavelength. The results from these types of experiments are often used to generate plots that visualize the measured variable on a continuous, quantitative scale. To simplify state-of-the-art data visualization and annotation of data from such experiments, an open-source tool was created with R/shiny that does not require coding skills to operate it. The freely available web app accepts wide (spreadsheet) and tidy data and offers a range of options to normalize the data. The data from individual objects can be shown in 3 different ways: (1) lines with unique colors, (2) small multiples, and (3) heatmap-style display. Next to this, the mean can be displayed with a 95% confidence interval for the visual comparison of different conditions. Several color-blind-friendly palettes are available to label the data and/or statistics. The plots can be annotated with graphical features and/or text to indicate any perturbations that are relevant. All user-defined settings can be stored for reproducibility of the data visualization. The app is dubbed PlotTwist and runs locally or online: https://huygens.science.uva.nl/PlotTwist
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Data from: Quantifying accuracy and precision from continuous response data...
- fdr.uni-hamburg.de
csv, rUpdated May 4, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBruns, Patrick (2022). Quantifying accuracy and precision from continuous response data in studies of spatial perception and crossmodal recalibration [Dataset]. http://doi.org/10.25592/uhhfdm.10183csv, rAvailable download formatsUnique identifierhttps://doi.org/10.25592/uhhfdm.10183Dataset updatedMay 4, 2022Dataset provided byUniversität HamburgAuthorsBruns, PatrickLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis dataset contains data and code associated with the study "Quantifying accuracy and precision from continuous response data in studies of spatial perception and crossmodal recalibration" by Patrick Bruns, Caroline Thun, and Brigitte Röder.
example_code.R contains analysis code that can be used to to calculate error-based and regression-based localization performance metrics from single-subject response data with a working example in R. It requires as inputs a numeric vector containing the stimulus location (true value) in each trial and a numeric vector containing the corresponding localization response (perceived value) in each trial.
example_data.csv contains the data used in the working example of the analysis code.
localization.csv contains extracted localization performance metrics from 188 subjects which were analyzed in the study to assess the agreement between error-based and regression-based measures of accuracy and precision. The subjects had all naively performed an azimuthal sound localization task (see related identifiers for the underlying raw data).
recalibration.csv contains extracted localization performance metrics from a subsample of 57 subjects in whom data from a second sound localization test, performed after exposure to audiovisual stimuli in which the visual stimulus was consistently presented 13.5° to the right of the sound source, were available. The file contains baseline performance (pre) and changes in performance after audiovisual exposure relative to baseline (delta) in each of the localization performance metrics.
Localization performance metrics were either derived from the single-trial localization errors (error-based approach) or from a linear regression of localization responses on the actual target locations (regression-based approach).The following localization performance metrics were included in the study:
bias: overall bias of localization responses to the left (negative values) or to the right (positive values), equivalent to constant error (CE) in error-based approaches and intercept in regression-based approaches
absolute constant error (aCE): absolute value of bias (or CE), indicates the amount of bias irrespective of direction
mean absolute contant error (maCE): mean of the aCE per target location, reflects over- or underestimation of peripheral target locations
variable error (VE): mean of the standard deviations (SD) of the single-trial localization errors at each target location
pooled variable error (pVE): SD of the single-trial localization errors pooled across trials from all target locations
absolute error (AE): mean of the absolute values of the single-trial localization errors, sensitive to both bias and variability of the localization responses
slope: slope of the regression model function, indicates an overestimation (values > 1) or underestimation (values < 1) of peripheral target locations
R2: coefficient of determination of the regression model, indicates the goodness of the fit of the localization responses to the regression line
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Descriptive statistics of frequency of monthly nonresident father-child...
- datasetcatalog.nlm.nih.gov
- figshare.com
Updated Apr 21, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSzalma, Ivett; Heers, Marieke (2022). Descriptive statistics of frequency of monthly nonresident father-child contact by country, binary and continuous measure, percentage or mean/standard deviation (complete cases). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000251932Dataset updatedApr 21, 2022AuthorsSzalma, Ivett; Heers, MariekeDescriptionDescriptive statistics of frequency of monthly nonresident father-child contact by country, binary and continuous measure, percentage or mean/standard deviation (complete cases).
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Suicide and Self-harm Continuous Outcomes - Within Arms
- catalog.data.gov
- ptsd-va.data.socrata.com
Updated Oct 2, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteNational Center for PTSD (2025). Suicide and Self-harm Continuous Outcomes - Within Arms [Dataset]. https://catalog.data.gov/dataset/suicide-and-self-harm-continuous-outcomes-within-armsDataset updatedOct 2, 2025Dataset provided byNational Center for PTSDDescriptionThis dataset provides within-arm results for continuous measures of suicide and self-directed violence. Included is information on how outcomes were defined and measured as well as score means and standard deviation or other measures of variance. Each treatment arm (intervention group) is presented on its own row. There are also separate rows for studies with more than one outcome definition, assessment point, and/or analysis type.
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Table 4_Mean centering is not necessary in regression analyses, and probably...
- figshare.com
docxUpdated Jul 16, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteLee H. Wurm; Miles Reitan (2025). Table 4_Mean centering is not necessary in regression analyses, and probably increases the risk of incorrectly interpreting coefficients.docx [Dataset]. http://doi.org/10.3389/fpsyg.2025.1634152.s004docxAvailable download formatsUnique identifierhttps://doi.org/10.3389/fpsyg.2025.1634152.s004Dataset updatedJul 16, 2025Dataset provided byFrontiersAuthorsLee H. Wurm; Miles ReitanLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionScholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has long been argued that it is necessary to mean center prior to conducting the analysis. A review of the recommendations offered in statistical textbooks shows considerable disagreement, with some authors maintaining that centering is necessary, and others arguing that it is more trouble than it is worth. We also find errors in people’s beliefs about how to interpret first-order regression coefficients in moderated regression. These coefficients do not index main effects, whether data have been centered or not, but mischaracterizing them is probably more likely after centering. In this study we review the recommendations, and then provide two demonstrations using ordinary least squares (OLS) regression models with continuous predictors. We show that mean centering has no effect on the numeric estimate, the confidence intervals, or the t- or p-values for main effects, interactions, or quadratic terms, provided one knows how to properly assess them. We also highlight some shortcomings of the standardized regression coefficient (β), and note some advantages of the semipartial correlation coefficient (sr). We demonstrate that some aspects of conventional wisdom were probably never correct; other concerns have been removed by advances in computer precision. In OLS models with continuous predictors, mean centering might or might not aid interpretation, but it is not necessary. We close with practical recommendations.
Continuous Evolution of Statistical Estimators for Optimal Decision-Making
- plos.figshare.com
tiffUpdated May 31, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteIan Saunders; Sethu Vijayakumar (2023). Continuous Evolution of Statistical Estimators for Optimal Decision-Making [Dataset]. http://doi.org/10.1371/journal.pone.0037547tiffAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0037547Dataset updatedMay 31, 2023AuthorsIan Saunders; Sethu VijayakumarLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionIn many everyday situations, humans must make precise decisions in the presence of uncertain sensory information. For example, when asked to combine information from multiple sources we often assign greater weight to the more reliable information. It has been proposed that statistical-optimality often observed in human perception and decision-making requires that humans have access to the uncertainty of both their senses and their decisions. However, the mechanisms underlying the processes of uncertainty estimation remain largely unexplored. In this paper we introduce a novel visual tracking experiment that requires subjects to continuously report their evolving perception of the mean and uncertainty of noisy visual cues over time. We show that subjects accumulate sensory information over the course of a trial to form a continuous estimate of the mean, hindered only by natural kinematic constraints (sensorimotor latency etc.). Furthermore, subjects have access to a measure of their continuous objective uncertainty, rapidly acquired from sensory information available within a trial, but limited by natural kinematic constraints and a conservative margin for error. Our results provide the first direct evidence of the continuous mean and uncertainty estimation mechanisms in humans that may underlie optimal decision making.
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Descriptive statistics.
- datasetcatalog.nlm.nih.gov
- plos.figshare.com
Updated Jul 26, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTesta, Marco; Battista, Simone; De Lucia, Annalisa; Donisi, Valeria (2024). Descriptive statistics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001372951Dataset updatedJul 26, 2024AuthorsTesta, Marco; Battista, Simone; De Lucia, Annalisa; Donisi, ValeriaDescriptionConflict management is rarely explored among physiotherapists though they often work in teams. Hence, this study explored attitudes, perceived competencies, beliefs, training experiences, and needs in conflict management among Italian physiotherapists. We conducted a cross-sectional online survey study between June and September 2023 among Italian physiotherapists. The survey instrument comprised four sections. Section 1: Socio-Demographic and Professional Data: Explored participant profiles and conflict frequency. Section 2: Attitudes and Competences: assess conflict-related behaviours and management styles (Likert Scale). Section 3: Training Experiences and Needs: Evaluated training importance and conflict-related issues with other professionals (Likert Scale). Section 4: Beliefs About Factors: Participants rated (0–10) factors influencing conflict management and its impact on care and well-being. Descriptive analyses were performed, presenting continuous data as mean (SD) and categorical data as frequencies/percentages. Likert scale responses were dichotomised (agreement/disagreement), and consensus was defined as ≥70% agreement. Median, quartiles, and box-and-whisker plots depicted responses were used for 0-to-10 scales. Physiotherapists (n = 203; mean age: 39±10.40) generally leaned towards a constructive communication style, characterised by compromise and collaboration, viewing conflict management as an opportunity to grow. There was a disparity between their exhibited behaviours and self-assessment of appropriateness in conflict resolution. Only 27.6% considered their conflict resolution skills as satisfactory. However, 85.7% acknowledged the significance of being trained in conflict management. Challenges were evident in conflicts within interprofessional relationships and communication with superiors. Both personal and organisational factors were identified as influencing conflict management, with participants recognising the detrimental impact of conflicts on their well-being and patient care. This study highlighted educational gaps in conflict management among Italian physiotherapists, showing areas of improvement in their training. Our results suggested that physiotherapists might need additional training in conflict management to enhance workplace well-being and the quality of care provided.
Taking Part 2014/15 quarter 1 statistical release
- gov.uk
Updated Oct 2, 2014ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2014). Taking Part 2014/15 quarter 1 statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-201415-quarter-1-statistical-releaseDataset updatedOct 2, 2014AuthorsDepartment for Digital, Culture, Media & SportDescriptionThe Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old.
As detailed in the last statistical release and on our consultation pages in March 2013, the responsibility for reporting Official Statistics on adult sport participation now falls entirely with Sport England. Sport participation data are reported on by Sport England in the Active People Survey.
Released:
2nd October 2014
Period covered:
July 2013 to June 2014
Geographic coverage
National and regional level data for England.
Next release date:
A release of rolling annual estimates for adults is scheduled for December 2014.
Summary:
The latest data from the 2014/15 Taking Part survey provides reliable national estimates of adult engagement with archives, arts, heritage, libraries and museums & galleries.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets:
These spread sheets contain the data and sample sizes to support the material in this release.
Meta data
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release:
The previous adult Taking Part release was published on 3rd July 2014 and the previous child Taking Part release was published on 18th September 2014. Both releases also provide spread sheets containing the data and sample sizes for each sector included in the survey.
Pre-release access:
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority:
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 2nd October 2014. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Jodie Hargreaves. For enquiries on this release, contact Jodie Hargreaves on 020 7211 6327 or Maddy May 020 7211 2281.
For any queries contact them or the Taking Part team at takingpart@culture.gsi.gov.uk.
Taking Part 2015/16 quarter 4 statistical release
- gov.uk
Updated Jul 21, 2016+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2016). Taking Part 2015/16 quarter 4 statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-201516-quarter-4-statistical-releaseDataset updatedJul 21, 2016AuthorsDepartment for Digital, Culture, Media & SportDescriptionAbout
The Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old.
As detailed in the last statistical release and on our consultation pages in March 2013, the responsibility for reporting Official Statistics on adult sport participation now falls entirely with Sport England. Sport participation data are reported on by Sport England in the Active People Survey.
Released
21 July 2016
Period covered
April 2015 to March 2016
Geographic coverage
National and Regional level data for England
Next release date
A series of “Taking Part, Focus on…” reports will be published in October 2016. Each ‘short story’ in this series will look at a specific topic in more detail, providing more in-depth analysis of the 2015/16 Taking Part data.
Summary
The Taking Part survey provides reliable national estimates of adult engagement with the arts, heritage, museums, archives and libraries. Latest data are from April 2015 to March 2016.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and digital engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets
These spreadsheets contain the data and sample sizes to support the material in this release.
Previous release
The previous adult biannual Taking Part release was published on 17th December 2015 and the previous child Taking Part annual release was published on 23rd July 2015. Both releases also provide spreadsheets containing the data and sample sizes for each sector included in the survey. A series of short story reports was also released on 28th April 2016.
Pre-release access
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 21st July 2016. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Helen Miller-Bakewell. For enquiries on this release, contact Helen Miller-Bakewell on 020 7211 6355 or Mary Gregory 020 7211 2377.
For any queries contact them or the Taking Part team at takingpart@culture.gov.uk
Taking Part 2012/13 quarter 2: Statistical release
- gov.uk
Updated Dec 13, 2012ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2012). Taking Part 2012/13 quarter 2: Statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-2012-13-quarter-2-statistical-releaseDataset updatedDec 13, 2012AuthorsDepartment for Digital, Culture, Media & SportDescriptionIt is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old. This latest releases presents rolling estimates incorporating data from the second quarter of year 8 of the survey.
Released
13 December 2012
Period covered
October 2011 to September 2012
Geographic coverage
National and Regional level data for England.
Next release date
A release of rolling annual estimates for adults, including the third quarter of the 2012 to 2013 survey year, is scheduled for March 2013.
Summary
The latest data from the 2012 to 2013 Taking Part survey provides reliable national estimates of adult and child engagement with sport, libraries, the arts, heritage and museums and galleries.
This release builds on the data from previous years and data from quarter 3 and 4 releases of data from 2011 to 2012 and quarter 1 and 2 from 2012 to 2013 to look at a number of areas in depth and present measures that begin to consider broader definitions of participation in our sectors.
The report also looks at some of the other measures in the survey that provide estimates of volunteering, charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets
These spreadsheets contain the data and sample sizes to support the material in this release:
Meta-data
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release
The previous Taking Part release was published on 29 March 2012 and can be found online. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
Pre-release access
The document below contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 28 June 2012. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Tom Knight (020 7211 6021) and Penny Allen (020 7211 6106).
For any queries please contact them or the Taking Part team at takingpart@culture.gsi.gov.uk.
Taking Part 2014/15 quarter 2 statistical release
- gov.uk
Updated Dec 9, 2014+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2014). Taking Part 2014/15 quarter 2 statistical release [Dataset]. https://www.gov.uk/government/statistics/taking-part-201415-quarter-2-statistical-releaseDataset updatedDec 9, 2014AuthorsDepartment for Digital, Culture, Media & SportDescriptionThe Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old.
As detailed in the last statistical release and on our consultation pages in March 2013, the responsibility for reporting Official Statistics on adult sport participation now falls entirely with Sport England. Sport participation data are reported on by Sport England in the Active People Survey.
Released:
9th December 2014
Period covered:
October 2013 to September 2014
Geographic coverage
National and regional level data for England.
Next release date:
A release of rolling annual estimates for adults is scheduled for March 2015.
Summary:
The latest data from the 2014/15 Taking Part survey provides reliable national estimates of adult engagement with archives, arts, heritage, libraries and museums & galleries.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical worksheets:
These spread sheets contain the data and sample sizes to support the material in this release.
Meta data
The meta-data describe the Taking Part data and provides terms and definitions. This document provides a stand-alone copy of the meta-data which are also included as annexes in the statistical report.
Previous release:
The previous adult Taking Part release was published on 2nd October 2014 and the previous child Taking Part release was published on 18th September 2014. Both releases also provide spread sheets containing the data and sample sizes for each sector included in the survey.
Pre-release access:
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
The UK Statistics Authority:
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 9th December 2014. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Jodie Hargreaves. For enquiries on this release, contact Jodie Hargreaves on 020 7211 6327 or Maddy May 020 7211 2281.
For any queries contact them or the Taking Part team at takingpart@culture.gsi.gov.uk.
Taking Part 2011/12 Quarter 2: Statistical Release
- gov.uk
Updated Dec 22, 2011ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2011). Taking Part 2011/12 Quarter 2: Statistical Release [Dataset]. https://www.gov.uk/government/statistics/taking-part-2011-12-quarter-2-statistical-releaseDataset updatedDec 22, 2011AuthorsDepartment for Digital, Culture, Media & SportDescriptionIt is a continuous face to face household survey of adults aged 16 and over in England and chidren aged 5-15 years old. This latest releases presents rolling estimates incorporating data from the second quarter of year seven of the survey.
Released:
21 December 2011
Period covered:
October 2010 to September 2011
Geographic coverage:
National and Regional level data for England.
Next release date:
Rolling annual estimates for adults, including the third quarter of the 2011/12 survey year, is scheduled for the end of March 2012.
Summary
The latest data from the 2010/11 Taking Part survey provides reliable national estimates of adult and child engagement with sport, libraries, the arts, heritage and museums & galleries. This release builds on the first release of data from 2010/11 to look at a number of areas in depth and present measures that begin to consider broader definitions of participation in our sectors. The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical Report
- http://www.culture.gov.uk/images/research/TakingPart_2011-12_Q2_StatisticalRelease_updatev2.pdf">Taking Part 2011/12 Quarter 2: Statistical Release (PDF 496kb) *
- http://www.culture.gov.uk/images/research/TakingPart_2011-12_Q2_StatisticalRelease_updatev2.doc">Taking Part 2011/12 Quarter 2: Statistical Release (Word 803kb)*
Dashboard
- http://www.culture.gov.uk/images/research/taking-part-dashboard_Q2.pdf">Taking Part 2011/12 Quarter 2: Dashboard (PDF 215kb)
Statistical Worksheets
These spreadsheets contain the data and sample sizes to support the material in this release:
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Archives.xls">Archives (Excel 95kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Arts.xls">Arts (Excel 81kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Cycling_and_swimming_proficiency.xls">Cycling and swimming proficiency (Excel 71kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Digital_participation.xls">Digital participation (Excel 73kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Heritage.xls">Heritage (Excel 87 kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Libraries.xls">Libraries (Excel 72kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Museums_and_Galleries.xls">Museums and Galleries (Excel 81kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Olympics.xls">Olympics (Excel 90kb)
- http://www.culture.gov.uk/images/research/TP_Y7_Q2_Figures_Sports.xls">Sports (Excel 73kb)
-
http://www.culture.gov.uk/images/research/TP_Y7_Q2_Big_Society.xls">Big Society (Excel 196kb)
Previous release
The previous Taking Part release was published on 29 September 2011 and can be found online. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
- http://www.culture.gov.uk/publications/8462.aspx">Taking Part 2011/12 Quarter 1
Pre-release access
The document below contains a list of Ministers and Officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
- http://www.culture.gov.uk/images/research/pre-release-access-list-tp-qrt2.pdf">Pre-release access (PDF 60kb)
The UK Statistics Authority
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and s
Taking Part 2011/12 Quarter 1: Statistical Release
- gov.uk
Updated Sep 29, 2011ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Digital, Culture, Media & Sport (2011). Taking Part 2011/12 Quarter 1: Statistical Release [Dataset]. https://www.gov.uk/government/statistics/taking-part-2011-12-quarter-1-statistical-releaseDataset updatedSep 29, 2011AuthorsDepartment for Digital, Culture, Media & SportDescriptionThe Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and chidren aged 5-15 years old. This latest releases presents rolling estimates incorporating data from the first quarter of year seven of the survey.
Released:
29 September 2011
Period covered:
July 2010 to June 2011
Geographic coverage:
National and Regional level data for England.
**Next release date:
Rolling annual estimates for adults, including the second quarter of the 2011/12 survey year, is scheduled for the end of December 2011.
Summary
The latest data from the 2010/11 Taking Part survey provides reliable national estimates of adult and child engagement with sport, libraries, the arts, heritage and museums & galleries. This release builds on the first release of data from 2010/11 to look at a number of areas in depth and present measures that begin to consider broader definitions of participation in our sectors. The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and civic engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
Statistical Report
- http://www.culture.gov.uk/images/research/Taking_Part_2011_12_Q1_Statistical_Release_FINAL.pdf">Taking Part 2011/12 Quarter 1: Statistical Release (PDF 815kb)
- http://www.culture.gov.uk/images/research/Taking_Part_2011_12_Q1_Statistical_Release_FINAL.doc">Taking Part 2011/12 Quarter 1: Statistical Release (Word 646kb)
Statistical Worksheets
These spreadsheets contain the data and sample sizes to support the material in this release:
- http://www.culture.gov.uk/images/research/Y7Q1_Archives.xls">Archives (Excel 104kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Arts.xls">Arts (Excel 72kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Cycling_and_swimming_proficiency.xls">Cycling and swimming proficiency (Excel 67kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Digital_Participation.XLS">Digital participation (Excel 85kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Heritage.xls">Heritage (Excel79 kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Libraries.xls">Libraries (Excel 70kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Museums_and_Galleries.xls">Museums and galleries (Excel 84kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Olympics.xls">Olympics (Excel 63kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Sports.XLS">Sports (Excel 73kb)
- http://www.culture.gov.uk/images/research/Y7Q1_Volunteering.xls">Volunteering (Excel 87kb)
Previous release
The previous Taking Part release was published on 18 August 2011 and can be found online. It also provides spreadsheets containing the data and sample sizes for each sector included in the survey.
- http://www.culture.gov.uk/publications/8398.aspx">Taking Part: The National Survey of Culture, Leisure and Sport Adult and Child Report 2010/11
The UK Statistics Authority
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area. The latest figures in this release are based on data that was first published on 30 June 2011. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Neil Wilson. For any queries please contact the Taking Part team on 020 7211 6968 or takingpart@culture.gsi.gov.uk.
<h3
FacebookTwitterEmailData from: Continuous-time spatially explicit capture-recapture models, with an application to a jaguar camera-trap survey
University of Belize
University of St Andrews
University of Cape Town
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Many capture-recapture surveys of wildlife populations operate in continuous time but detections are typically aggregated into occasions for analysis, even when exact detection times are available. This discards information and introduces subjectivity, in the form of decisions about occasion definition. We develop a spatio-temporal Poisson process model for spatially explicit capture-recapture (SECR) surveys that operate continuously and record exact detection times. We show that, except in some special cases (including the case in which detection probability does not change within occasion), temporally aggregated data do not provide sufficient statistics for density and related parameters, and that when detection probability is constant over time our continuous-time (CT) model is equivalent to an existing model based on detection frequencies. We use the model to estimate jaguar density from a camera-trap survey and conduct a simulation study to investigate the properties of a CT estimator and discrete-occasion estimators with various levels of temporal aggregation. This includes investigation of the effect on the estimators of spatio-temporal correlation induced by animal movement. The CT estimator is found to be unbiased and more precise than discrete-occasion estimators based on binary capture data (rather than detection frequencies) when there is no spatio-temporal correlation. It is also found to be only slightly biased when there is correlation induced by animal movement, and to be more robust to inadequate detector spacing, while discrete-occasion estimators with binary data can be sensitive to occasion length, particularly in the presence of inadequate detector spacing. Our model includes as a special case a discrete-occasion estimator based on detection frequencies, and at the same time lays a foundation for the development of more sophisticated CT models and estimators. It allows modelling within-occasion changes in detectability, readily accommodates variation in detector effort, removes subjectivity associated with user-defined occasions, and fully utilises CT data. We identify a need for developing CT methods that incorporate spatio-temporal dependence in detections and see potential for CT models being combined with telemetry-based animal movement models to provide a richer inference framework.