cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5p2zmm
title: Occurrence Download

description: A dataset containing 2916195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emberiza schoeniclus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2916195 records from 2202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054196-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.3545090.v1
title: Target Time data from the 5 Target Condition in Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".

description: Target Time data from the 5 Target Condition in Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".<br><br>Abstract:<br>A number of real world search tasks (i.e., police search, IED detection,) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time and the route used to search an area were measured. Participants tended to use an ‘S’ shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b ,varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and pairs when searching for targets in open space are discussed.
DOI: 10.6084/m9.figshare.3545087
title: Target Times data from Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain"

description: Target Times data from Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".<br>Abstract:<br>A number of real world search tasks (i.e., police search, IED detection,) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time and the route used to search an area were measured. Participants tended to use an ‘S’ shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b ,varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and pairs when searching for targets in open space are discussed.
DOI: 10.6084/m9.figshare.3545084
title: Target Time data from Experiment 1a in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".

description: Target Time data from Experiment 1a in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".<br>Abstract:<br>A number of real world search tasks (i.e., police search, IED detection,) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time and the route used to search an area were measured. Participants tended to use an ‘S’ shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b ,varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and pairs when searching for targets in open space are discussed.
DOI: 10.6084/m9.figshare.3545084.v1
title: Target Time data from Experiment 1a in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".

description: Target Time data from Experiment 1a in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".<br>Abstract:<br>A number of real world search tasks (i.e., police search, IED detection,) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time and the route used to search an area were measured. Participants tended to use an ‘S’ shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b ,varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and pairs when searching for targets in open space are discussed.
DOI: 10.6084/m9.figshare.3545081
title: Behavioral data from Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".

description: Behavioral data from Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".<br>Abstract:<br>A number of real world search tasks (i.e., police search, IED detection,) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time and the route used to search an area were measured. Participants tended to use an ‘S’ shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b ,varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and pairs when searching for targets in open space are discussed.
DOI: 10.6084/m9.figshare.3545081.v1
title: Behavioral data from Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".

description: Behavioral data from Experiment 1b in the manuscript "The Importance of Search Strategy for Finding Targets in Open Terrain".<br>Abstract:<br>A number of real world search tasks (i.e., police search, IED detection,) require searchers to search exhaustively across open ground. In the present study, we simulated this problem by asking individuals (Experiments 1a and 1b) and dyads (Experiment 2) to search for coin targets pseudo-randomly located in a bounded area of open grassland terrain. In Experiment 1a, accuracy, search time and the route used to search an area were measured. Participants tended to use an ‘S’ shaped pattern with a common width of search lane. Increased accuracy was associated with slower, but also variable, search speed, though only when participants moved along the length (as opposed to across the width) of the search area. Experiment 1b ,varied the number of targets available within the bounded search area and in doing so varied target prevalence and density. The results confirmed that the route taken in Experiment 1a generalizes across variations in target prevalence/density. In Experiment 2, accuracy, search time, and the search strategy used by dyads was measured. While dyads were more accurate than individuals, dyads that opted to conduct two independent searches were more accurate than those who opted to split the search space. The implications of these results for individuals and pairs when searching for targets in open space are discussed.
DOI: 10.6084/m9.figshare.3545033
title: Template for TACCLE 3 resources reviewing

description: TACCLE 3: Coding is an Erasmus+ KA2 project (Ref. 2015-1-BE02-KA201-012307) (García-Peñalvo, 2016; TACCLE 3 Consortium, 2016) that supports Primary School and other teachers who want to teach Computing to 4 - 14 year olds. TACCLE 3 will equip classroom teachers with the knowledge and the materials they need by developing a website of ideas and resources together with inservice training courses and other staff development events. In the TACCLE3 coding project, a lack of didactic material for teachers to get started teaching coding to young pupils from primary school level on, was identified. In order to compensate such deficit, a survey of resources and starter kits to support the teachers’ approach to teach coding at primary school level was undertaken. This document introduces the evaluation template that has been used to annotate the performed analysis of the different resources for introducing to programming in the schools.<br>
DOI: 10.6084/m9.figshare.3545033.v1
title: Template for TACCLE 3 resources reviewing

description: TACCLE 3: Coding is an Erasmus+ KA2 project (Ref. 2015-1-BE02-KA201-012307) (García-Peñalvo, 2016; TACCLE 3 Consortium, 2016) that supports Primary School and other teachers who want to teach Computing to 4 - 14 year olds. TACCLE 3 will equip classroom teachers with the knowledge and the materials they need by developing a website of ideas and resources together with inservice training courses and other staff development events. In the TACCLE3 coding project, a lack of didactic material for teachers to get started teaching coding to young pupils from primary school level on, was identified. In order to compensate such deficit, a survey of resources and starter kits to support the teachers’ approach to teach coding at primary school level was undertaken. This document introduces the evaluation template that has been used to annotate the performed analysis of the different resources for introducing to programming in the schools.<br>
DOI: 10.6084/m9.figshare.3545012
title: Selective predation of a Stalking predator on ungulate prey

description: supplemenary material of:Heurich, M., Zeis K., Küchenhoff H., Müller, J., Belotti, E., Bufka L., Woelfing, B. (2016): Selective predation of a stalking predator on ungulate prey. Plos One. (accepted) <br>
DOI: 10.6084/m9.figshare.3545012.v1
title: S2Dataset_distance_moved_red_deer_5to7hours.csv

description: supplemenary material of:Heurich, M., Zeis K., Küchenhoff H., Müller, J., Belotti, E., Bufka L., Woelfing, B. (2016): Selective predation of a stalking predator on ungulate prey. Plos One. (accepted) <br>
DOI: 10.6084/m9.figshare.3545012.v3
title: Selective predation of a Stalking predator on ungulate prey

description: supplemenary material of:Heurich, M., Zeis K., Küchenhoff H., Müller, J., Belotti, E., Bufka L., Woelfing, B. (2016): Selective predation of a stalking predator on ungulate prey. Plos One. (accepted) <br>
DOI: 10.6084/m9.figshare.3545012.v2
title: Selective predation of a Stalking predator on ungulate prey

description: supplemenary material of:Heurich, M., Zeis K., Küchenhoff H., Müller, J., Belotti, E., Bufka L., Woelfing, B. (2016): Selective predation of a stalking predator on ungulate prey. Plos One. (accepted) <br>
DOI: 10.6084/m9.figshare.3544988
title: S2 Table proof.docx

description: <br> <b>S2 Table. Anti-human antibodies used for flow cytometric analysis.</b><b><br></b>
DOI: 10.6084/m9.figshare.3544988.v1
title: S2 Table proof.docx

description: <br> <b>S2 Table. Anti-human antibodies used for flow cytometric analysis.</b><b><br></b>
DOI: 10.6084/m9.figshare.3544985
title: Table 1.docx

description: <br> <b>Table 1. Patient characteristics</b><b><br></b>
DOI: 10.6084/m9.figshare.3544985.v1
title: Table 1.docx

description: <br> <b>Table 1. Patient characteristics</b><b><br></b>
DOI: 10.6084/m9.figshare.3544982
title: Portal Rodent Trapping Forecasts on 5 August, 2016

description: This is the second forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. Forecasts are for the site as a whole (total means across all plots, all treatment types).<br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9) <br>There are also total captures predictions created from the individual species predictions and their prediction intervals (model="NegBinom Time Series", species="SpeciesSums").<br>
DOI: 10.6084/m9.figshare.3544982.v1
title: Portal Rodent Trapping Forecasts on 5 August, 2016

description: This is the second forecast made for the rodent trapping at the long-term Portal research site in southern Arizona. Three models were used to achieve forecasts with 90% prediction intervals. Forecasts are for the site as a whole (total means across all plots, all treatment types).<br>Two naive models using the defaults in the forecast package in R were used to create forecasts for the total granivore captures (species="Total") over the next 12 trapping periods, the first being tomorrow.<br>The "Forecast" modelforecast(abundances$total,h=12,level=0.95,BoxCox.lambda(0),allow.multiplicative.trend=T)<br>The "AutoArima" modelforecast(auto.arima(abundances$total,lambda = 0),h=12,level=0.95,fan=T)<br>Species-level predictions, as well as another total captures prediction, were made using the tscount package in R.<br>The "NegBinom Time Series" model, by species (species codes are the first letter of the genus and species)<br>model=tsglm(abundances[[s]],model=list(past_obs=1,past_mean=11),distr="nbinom")<br>predict(model,12,level=0.9) <br>There are also total captures predictions created from the individual species predictions and their prediction intervals (model="NegBinom Time Series", species="SpeciesSums").<br>
DOI: 10.6084/m9.figshare.3544970
title: Are short (blue) wavelengths necessary for light treatment of seasonal affective disorder?

description: Despite widely published speculation regarding a potential potency advantage of short-wavelength (blue-appearing) light for Seasonal Affective Disorder (SAD) treatment, there have been few systematic studies. Those comparing short-wavelength to broad-wavelength (white) light under actual clinical conditions suggest equivalent effectiveness. This multicenter, parallel-group design trial was undertaken to compare the effects of light therapy on SAD using blue (~465 nm) <i>versus</i> blue-free (595–612 nm) LED lights. Fifty-six medication-free subjects aged 21–64 years who met DSM-IV-TR criteria for recurrent major depression with winter-type seasonal pattern were enrolled in this blinded study at five participating centers between January and March 2012. Thirty-five subjects met the criteria for randomization to 30 min of either blue (~465 nm) <i>or</i> blue-free (595–612 nm) daily morning light therapy. Twenty-nine subjects completed the study; three subjects withdrew due to treatment-related adverse events, including migraines, and three withdrew for non-study-related reasons. The primary effectiveness variable was depression score (SIGH-ADS) after six weeks of daily light treatment. Secondary effectiveness variables included quality-of-life (QoL) and suicidality ratings. Using an intent-to-treat analysis, mean depression scores were different at baseline for the blue group (29 ± 5 versus 26 ± 5, <i>p</i> = 0.05 blue versus blue-free, respectively), and the initial score was used as a covariate. Baseline scores were not significantly different between treatment groups among those who completed the study, and no significant differences in depression scores were observed after 6 weeks (mean ± SD scores at 6 weeks: 5.6 ± 6.1 versus 4.5 ± 5.3, <i>p</i> = 0.74, blue versus blue-free, respectively). In addition, the proportion of subjects who met remission criteria, defined as a depression score ≤8, was not significantly different between the two groups (<i>p</i> = 0.41); among the 29 subjects who completed the study, 76% of subjects experienced remission by the end of the trial, which coincided with the beginning of spring. The QoL and suicidality ratings were also significantly improved from pre- to post-treatment, with no significant difference between treatments. No subject experienced worsening or non-improved symptoms over the 6-week trial. The main finding of this study is that subjects treated with blue light did not improve more than subjects treated with blue-free light; both showed substantial improvement on multiple measures. Failure to find differences may have resulted from methodological constraints, including a small sample size. Recruitment began mid-winter during an unusually mild season, and the trial was terminated earlier than planned by the study sponsor due to a failure to detect a difference. However, if confirmed in a larger randomized sample, these results suggest that blue wavelengths are not necessary for successful SAD treatment.
DOI: 10.6084/m9.figshare.3544970.v1
title: Are short (blue) wavelengths necessary for light treatment of seasonal affective disorder?

description: Despite widely published speculation regarding a potential potency advantage of short-wavelength (blue-appearing) light for Seasonal Affective Disorder (SAD) treatment, there have been few systematic studies. Those comparing short-wavelength to broad-wavelength (white) light under actual clinical conditions suggest equivalent effectiveness. This multicenter, parallel-group design trial was undertaken to compare the effects of light therapy on SAD using blue (~465 nm) <i>versus</i> blue-free (595–612 nm) LED lights. Fifty-six medication-free subjects aged 21–64 years who met DSM-IV-TR criteria for recurrent major depression with winter-type seasonal pattern were enrolled in this blinded study at five participating centers between January and March 2012. Thirty-five subjects met the criteria for randomization to 30 min of either blue (~465 nm) <i>or</i> blue-free (595–612 nm) daily morning light therapy. Twenty-nine subjects completed the study; three subjects withdrew due to treatment-related adverse events, including migraines, and three withdrew for non-study-related reasons. The primary effectiveness variable was depression score (SIGH-ADS) after six weeks of daily light treatment. Secondary effectiveness variables included quality-of-life (QoL) and suicidality ratings. Using an intent-to-treat analysis, mean depression scores were different at baseline for the blue group (29 ± 5 versus 26 ± 5, <i>p</i> = 0.05 blue versus blue-free, respectively), and the initial score was used as a covariate. Baseline scores were not significantly different between treatment groups among those who completed the study, and no significant differences in depression scores were observed after 6 weeks (mean ± SD scores at 6 weeks: 5.6 ± 6.1 versus 4.5 ± 5.3, <i>p</i> = 0.74, blue versus blue-free, respectively). In addition, the proportion of subjects who met remission criteria, defined as a depression score ≤8, was not significantly different between the two groups (<i>p</i> = 0.41); among the 29 subjects who completed the study, 76% of subjects experienced remission by the end of the trial, which coincided with the beginning of spring. The QoL and suicidality ratings were also significantly improved from pre- to post-treatment, with no significant difference between treatments. No subject experienced worsening or non-improved symptoms over the 6-week trial. The main finding of this study is that subjects treated with blue light did not improve more than subjects treated with blue-free light; both showed substantial improvement on multiple measures. Failure to find differences may have resulted from methodological constraints, including a small sample size. Recruitment began mid-winter during an unusually mild season, and the trial was terminated earlier than planned by the study sponsor due to a failure to detect a difference. However, if confirmed in a larger randomized sample, these results suggest that blue wavelengths are not necessary for successful SAD treatment.