cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1305770.v20
title: Wikipedia Clickstream

description: This project contains data sets containing counts of (referer, resource) pairs extracted from the request logs of Wikipedia. A referer is an HTTP header field that identifies the address of the webpage that linked to the resource being requested. The data shows how people get to a Wikipedia article and what links they click on. In other words, it gives a weighted network of articles, where each edge weight corresponds to how often people navigate from one page to another. For more information and documentation, see the link in the references section below.
DOI: 10.6084/m9.figshare.1305770.v21
title: Wikipedia Clickstream

description: This project contains data sets containing counts of (referer, resource) pairs extracted from the request logs of Wikipedia. A referer is an HTTP header field that identifies the address of the webpage that linked to the resource being requested. The data shows how people get to a Wikipedia article and what links they click on. In other words, it gives a weighted network of articles, where each edge weight corresponds to how often people navigate from one page to another. For more information and documentation, see the link in the references section below.
DOI: 10.6084/m9.figshare.1305171
title: 75_T_F

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305170
title: Main policies of the telecommunication sector in the area of online protection of minors

description: Main policies of the telecommunication sector in the area of minors online protection. The table covers the policies of the 17 main companies.
DOI: 10.6084/m9.figshare.1305171.v1
title: 75_T_F

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305167
title: Análisis de las políticas de las operadoras de telecomunicaciones

description: La tabla describe las principales políticas que llevan a cabo 17 empresas de telecomunicaciones mundiales en el ámbito de la protección del menor.
DOI: 10.6084/m9.figshare.1305170.v1
title: Main policies of the telecommunication sector in the area of online protection of minors

description: Main policies of the telecommunication sector in the area of minors online protection. The table covers the policies of the 17 main companies.
DOI: 10.6084/m9.figshare.1305167.v1
title: Análisis de las políticas de las operadoras de telecomunicaciones

description: La tabla describe las principales políticas que llevan a cabo 17 empresas de telecomunicaciones mundiales en el ámbito de la protección del menor.
DOI: 10.6084/m9.figshare.1305163
title: Development of Equitable Algorithms for Allocation of Road Funds and Road Scheme Prioritization in Developing Countries: A Case Study of Sub Saharan Africa

description: PhD Thesis: Stage 1 'e-Delphi' Survey results from a panel of experts who responded to the questionnaire on equitable road funds allocation and road scheme prioritization
DOI: 10.6084/m9.figshare.1305163.v2
title: Development of Equitable Algorithms for Allocation of Road Funds and Road Scheme Prioritization in Developing Countries: A Case Study of Sub Saharan Africa

description: PhD Thesis: Stage 1 'e-Delphi' Survey results from a panel of experts who responded to the questionnaire on equitable road funds allocation and road scheme prioritization
DOI: 10.6084/m9.figshare.1305124
title: Kim et al., PLoS One 2015 - Between-trial forgetting due to interference and time in motor adaptation

description: There are 15 subjects for each of three experimental groups, SHORT, LONG, Alt.<br>There are two experimental sessions, screen and learn. Here is the description of the variables in each mat file.<br>The size of the variable corresponds to the number of trials. CurMark: Actual cursor positions in two dimensions<br>PosMark: Rotated cursor positions in two dimensions<br>TaskPos: Target position in radian<br>TimeMark: Time stamps<br>logET: Ignore this variable<br>logEndP: End position in two dimensions<br>logErr: Error in the pixel size<br>logHit: Ignore this variable<br>logMT: Movement time in ms<br>logMoved: 1:Moved, 0: Not moved (invalid trials)<br>logRT: Reaction time in ms<br>logST : Ignore this variable<br>logTar: Target position in two dimensions<br>logTask: Task ID (0: No rotation, 1: CCW, 2: CW)<br>schedITI : Time between the end of the current task and the start of the next task<br>To calculate the actual ITI, you should add 1500 ms (which is the duration of each trial).
DOI: 10.6084/m9.figshare.1305163.v1
title: Development of equitable algorithms for allocation of road funds and road scheme prioritisation in developing countries: a case study of Sub Saharan Africa

description: PhD Thesis: Stage 1 'e-Delphi' Survey results from a panel of experts who responded to the questionnaire on equitable road funds allocation and road scheme prioritization
DOI: 10.6084/m9.figshare.1305115
title: Code for: Measuring beta-diversity with abundance data

description: Simulations to manipulate the structure of pairs of species assemblages, calculate 33 beta-diversity metrics and score the desirable properties (including conceptual and sampling properties) and the personality properties of each metric. These are the simulations used to generate the results in the manuscript Barwell, Isaac and Kunin. Measuring beta-diversity with abundance data. Journal of Animal Ecology. Conceptual properties (C1-C16) are intrinsic and depend on the design of the metric. Sampling properties (S1 - S2) reflect the statistical behaviour of the metrics when applied to sampled assemblage data, as opposed to the true assemblage structure. The method of evaluation for each property is given in brackets below. Conceptual properties C1) Independence of alpha diversity (RMSE) C2) Beta is cumulative along gradient of species turnover (RMSE) C3) Similarity is probabilistic when assemblages are distributed indepndently and identically in space (RMSE) C4) Minimum of zero and positiveness (TRUE/FALSE) C5) Fixed upper bound R (TRUE/FALSE) C6) Monotonic increase with species turnover (TRUE/FALSE) C7) Monotonic increase with decoupling of species ranks (TRUE/FALSE) C8) Monotonic increase with differences in evenness (TRUE/FALSE) C9) Beta under extreme decoupling of species ranks &lt; beta when species turnover is complete (TRUE/FALSE) C10) Beta under extreme differences in evenness &lt; beta when species turnover is complete (TRUE/FALSE) C11) Symmetry (Beta(x1, x2)==Beta(x2,x1)) (TRUE/FALSE) C12) Double zero asymmetry (TRUE/FALSE) C13) Beta does not decrease in a series of nested assemblages (TRUE/FALSE) C14) Independence of species replication (RMSE) C15) Independence of the measurement units (RMSE) C16) Independence of differences in abundance (RMSE) Sampling properties S1) Independence of sample size (RMSE) S2) Independence of unequal sample sizes (RMSE) Personality properties P1) Sensitivity to nestedness R P2) Relative sensitivity to nestedness and turnover components of beta P3) Relative sensitivity to decoupling of species ranks and species turnover components of beta P4) Relative sensitivity to evenness differences and species turnover components of beta P5) Relative sensitivity to turnover in rare versus common species We also consider two additional scenarios in our discussion and report the results in the Supplementary Information E1) Patterns of turnover predicted by a positive occupancy-abundance relationship (ONR): rare species are more likely to be turned over E2) Scale-dependence of beta-diversity.
DOI: 10.6084/m9.figshare.1305106
title: Can large-scale patterns in insect atlas data predict local occupancy?

description: Coarse-grain atlas data are economical to collect, but fine-grain data contain more detail about the distribution of species within occupied cells. This information can change our perception of species’ distribution size, rarity and risk of extinction. Species occupancy describes the proportion of grid cells where a focal species is present, but occupancy depends on the spatial grain (grid cell area) of the units used to record species presences. Downscaling models have been developed to describe and extrapolate the relationship between spatial grain and occupancy (the occupancy-area curve, OAR), but have not previously been tested for highly mobile organisms. Here, we use atlas data for 38 British Odonata species. This taxon is highly mobile and also aggregated in the landscape due to a dependence on freshwater bodies for reproduction. Occupancy data at five coarse grains ≥ 100 km2 were used to parameterise 10 downscaling models. Predictive accuracy of the models were compared, using predicted and observed occupancy at the 1, 4 and 25 km2 grains. The Hui model gave the most accurate downscaling predictions across 114 species:grain combinations and gave the best predictions for 15 of the 38 species. Species-level traits were able to explain nearly 60% of the variation in in downscaling predictive error. Species with widespread, localised-aggregated and localised- sparse distributions were better predicted than species with a climatic range limit in Britain. The fine-grain occupancy of species with good dispersal abilities were poorly predicted by downscaling. Habitat generalists and specialists were better predicted than species with intermediate habitat breadth. Our results suggest that downscaling models, using widely available and economical coarse-grain atlas data, can provide sensitive, fine-grain estimates of distribution size, rarity, abundance and range change, even for high mobile taxa with a strong spatial structure. The code to obtain downscaling predictions for the Hui model is included as a pdf.
DOI: 10.6084/m9.figshare.1305124.v1
title: Kim et al., PLoS One 2015 - Between-trial forgetting due to interference and time in motor adaptation

description: There are 15 subjects for each of three experimental groups, SHORT, LONG, Alt.<br>There are two experimental sessions, screen and learn. Here is the description of the variables in each mat file.<br>The size of the variable corresponds to the number of trials. CurMark: Actual cursor positions in two dimensions<br>PosMark: Rotated cursor positions in two dimensions<br>TaskPos: Target position in radian<br>TimeMark: Time stamps<br>logET: Ignore this variable<br>logEndP: End position in two dimensions<br>logErr: Error in the pixel size<br>logHit: Ignore this variable<br>logMT: Movement time in ms<br>logMoved: 1:Moved, 0: Not moved (invalid trials)<br>logRT: Reaction time in ms<br>logST : Ignore this variable<br>logTar: Target position in two dimensions<br>logTask: Task ID (0: No rotation, 1: CCW, 2: CW)<br>schedITI : Time between the end of the current task and the start of the next task<br>To calculate the actual ITI, you should add 1500 ms (which is the duration of each trial).
DOI: 10.6084/m9.figshare.1305115.v1
title: new fileset

description: Simulations to manipulate the structure of pairs of species assemblages, calculate 33 beta-diversity metrics and score the desirable properties (including conceptual and sampling properties) and the personality properties of each metric. These are the simulations used to generate the results in the manuscript Barwell, Isaac and Kunin. Measuring beta-diversity with abundance data. Journal of Animal Ecology. Conceptual properties (C1-C16) are intrinsic and depend on the design of the metric. Sampling properties (S1 - S2) reflect the statistical behaviour of the metrics when applied to sampled assemblage data, as opposed to the true assemblage structure. The method of evaluation for each property is given in brackets below. Conceptual properties C1) Independence of alpha diversity (RMSE) C2) Beta is cumulative along gradient of species turnover (RMSE) C3) Similarity is probabilistic when assemblages are distributed indepndently and identically in space (RMSE) C4) Minimum of zero and positiveness (TRUE/FALSE) C5) Fixed upper bound R (TRUE/FALSE) C6) Monotonic increase with species turnover (TRUE/FALSE) C7) Monotonic increase with decoupling of species ranks (TRUE/FALSE) C8) Monotonic increase with differences in evenness (TRUE/FALSE) C9) Beta under extreme decoupling of species ranks &lt; beta when species turnover is complete (TRUE/FALSE) C10) Beta under extreme differences in evenness &lt; beta when species turnover is complete (TRUE/FALSE) C11) Symmetry (Beta(x1, x2)==Beta(x2,x1)) (TRUE/FALSE) C12) Double zero asymmetry (TRUE/FALSE) C13) Beta does not decrease in a series of nested assemblages (TRUE/FALSE) C14) Independence of species replication (RMSE) C15) Independence of the measurement units (RMSE) C16) Independence of differences in abundance (RMSE) Sampling properties S1) Independence of sample size (RMSE) S2) Independence of unequal sample sizes (RMSE) Personality properties P1) Sensitivity to nestedness R P2) Relative sensitivity to nestedness and turnover components of beta P3) Relative sensitivity to decoupling of species ranks and species turnover components of beta P4) Relative sensitivity to evenness differences and species turnover components of beta P5) Relative sensitivity to turnover in rare versus common species We also consider two additional scenarios in our discussion and report the results in the Supplementary Information E1) Patterns of turnover predicted by a positive occupancy-abundance relationship (ONR): rare species are more likely to be turned over E2) Scale-dependence of beta-diversity.
DOI: 10.6084/m9.figshare.1305115.v2
title: Measuring beta-diversity with abundance data

description: Simulations to manipulate the structure of pairs of species assemblages, calculate 33 beta-diversity metrics and score the desirable properties (including conceptual and sampling properties) and the personality properties of each metric. These are the simulations used to generate the results in the manuscript Barwell, Isaac and Kunin. Measuring beta-diversity with abundance data. Journal of Animal Ecology. Conceptual properties (C1-C16) are intrinsic and depend on the design of the metric. Sampling properties (S1 - S2) reflect the statistical behaviour of the metrics when applied to sampled assemblage data, as opposed to the true assemblage structure. The method of evaluation for each property is given in brackets below. Conceptual properties C1) Independence of alpha diversity (RMSE) C2) Beta is cumulative along gradient of species turnover (RMSE) C3) Similarity is probabilistic when assemblages are distributed indepndently and identically in space (RMSE) C4) Minimum of zero and positiveness (TRUE/FALSE) C5) Fixed upper bound R (TRUE/FALSE) C6) Monotonic increase with species turnover (TRUE/FALSE) C7) Monotonic increase with decoupling of species ranks (TRUE/FALSE) C8) Monotonic increase with differences in evenness (TRUE/FALSE) C9) Beta under extreme decoupling of species ranks &lt; beta when species turnover is complete (TRUE/FALSE) C10) Beta under extreme differences in evenness &lt; beta when species turnover is complete (TRUE/FALSE) C11) Symmetry (Beta(x1, x2)==Beta(x2,x1)) (TRUE/FALSE) C12) Double zero asymmetry (TRUE/FALSE) C13) Beta does not decrease in a series of nested assemblages (TRUE/FALSE) C14) Independence of species replication (RMSE) C15) Independence of the measurement units (RMSE) C16) Independence of differences in abundance (RMSE) Sampling properties S1) Independence of sample size (RMSE) S2) Independence of unequal sample sizes (RMSE) Personality properties P1) Sensitivity to nestedness R P2) Relative sensitivity to nestedness and turnover components of beta P3) Relative sensitivity to decoupling of species ranks and species turnover components of beta P4) Relative sensitivity to evenness differences and species turnover components of beta P5) Relative sensitivity to turnover in rare versus common species We also consider two additional scenarios in our discussion and report the results in the Supplementary Information E1) Patterns of turnover predicted by a positive occupancy-abundance relationship (ONR): rare species are more likely to be turned over E2) Scale-dependence of beta-diversity.
DOI: 10.6084/m9.figshare.1305083
title: Tuning Parameter Selection in Penalized Frailty Models

description: The penalized likelihood approach of Fan and Li (2001, 2002) differs from the traditional variable selection procedures in that it deletes the non-significant variables by estimating their coefficients as zero. Nevertheless, the desirable performance of this shrinkage methodology relies heavily on an appropriate selection of the tuning parameter which is involved in the penalty functions. In this work, new estimates of the norm of the error are firstly proposed through the use of Kantorovich inequalities and, subsequently, applied to the frailty models framework. These estimates are used in order to derive a tuning parameter selection procedure for penalized frailty models and clustered data. In contrast with the standard methods, the proposed approach does not depend on resampling and therefore results in a considerable gain in computational time. Moreover, it produces improved results. Simulation studies are presented to support theoretical findings and two real medical data sets are analyzed.
DOI: 10.6084/m9.figshare.1305083.v1
title: Tuning Parameter Selection in Penalized Frailty Models

description: The penalized likelihood approach of Fan and Li (2001, 2002) differs from the traditional variable selection procedures in that it deletes the non-significant variables by estimating their coefficients as zero. Nevertheless, the desirable performance of this shrinkage methodology relies heavily on an appropriate selection of the tuning parameter which is involved in the penalty functions. In this work, new estimates of the norm of the error are firstly proposed through the use of Kantorovich inequalities and, subsequently, applied to the frailty models framework. These estimates are used in order to derive a tuning parameter selection procedure for penalized frailty models and clustered data. In contrast with the standard methods, the proposed approach does not depend on resampling and therefore results in a considerable gain in computational time. Moreover, it produces improved results. Simulation studies are presented to support theoretical findings and two real medical data sets are analyzed.
DOI: 10.6084/m9.figshare.1305079
title: 50_F_F

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305062
title: The impact of red deer on liverwort-rich oceanic heath vegetation

description: <b><i>Background:</i></b> There is concern about increasing numbers of large herbivores including red deer (<i>Cervus elaphus</i>), but little is known about their impact on bryophytes.<b><i>Aims:</i></b> This study set out to determine the effect of different localised densities of red deer on the internationally important Northern Atlantic hepatic mat, characteristic of oceanic heath vegetation, at four locations in the Scottish Highlands where sheep have been absent for decades.<b><i>Methods:</i></b> Thirty 7 m × 7 m plots were randomly located in each study area. The standing crop dung pellet group count method was used to estimate red deer density. Species richness, diversity and cover of hepatic mat liverworts were obtained from 1 m × 1 m quadrats placed at random within the sample plots. <i>Calluna vulgaris</i> cover, ericoid height, rock cover, gradient and altitude were also recorded.<b><i>Results:</i></b> Model simplification in analysis of covariance revealed a consistent pattern of decreasing cover of hepatic mat and <i>Calluna</i> with increasing red deer density at all four study areas. Northern Atlantic hepatic mat cover, diversity and species richness were positively correlated with <i>Calluna</i> cover.<b><i>Conclusions:</i></b> The data suggest that <i>Calluna</i> cover is reduced (through trampling and browsing) at high local densities of red deer which has had cascading effects on the Northern Atlantic hepatic mat. Alternative explanations are discussed.
DOI: 10.6084/m9.figshare.1305066
title: UCL APCs 2014

description: This spreadsheet contains details of article processing charges (APCs) paid by University College London (UCL) during 2014. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/) and has been released with permission of the UCL Library.
DOI: 10.6084/m9.figshare.1305078
title: 50_T_F

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305078.v1
title: 50_T_F

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305052
title: iPads_versus_traditional_media

description: Data set iPads versus traditional media
DOI: 10.6084/m9.figshare.1305055
title: Google Scholar documents from Spanish university professors (2012)

description: Documents written by Spanish university professors from the Social Sciences and the Humanities, found on Google Scholar on 2012. This is the raw data underlying various bibliometric products like "H Index Scholar" and "Publishers Scholar Metrics"
DOI: 10.6084/m9.figshare.1305066.v1
title: UCL APCs 2014

description: This spreadsheet contains details of article processing charges (APCs) paid by University College London (UCL) during 2014. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/) and has been released with permission of the UCL Library.
DOI: 10.6084/m9.figshare.1305079.v1
title: 50_F_F

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1304956
title: original scans of data used in Fig 1D of Bethke et al 2012 (doi: 10.1094/MPMI-11-11-0281)

description: Data from 2 independent experiments. Western blot was performed with anti-pTEpY antibodies to detect activated MAPKs. <strong>The individual blots shows activated forms of MAPKs from 0, 2, 5,10, 15, 30 & 60 min after flg22 treatment of Arabidopsis plants.</strong> Note independent replicates for some genotypes in expt. 1. Notes (in blue) are comments on why some of these replicates were excluded for representation in the final figure (eg poor blotting or ambiguity of seed stock purity).
DOI: 10.6084/m9.figshare.1305062.v2
title: The impact of red deer on liverwort-rich oceanic heath vegetation

description: <b><i>Background:</i></b> There is concern about increasing numbers of large herbivores including red deer (<i>Cervus elaphus</i>), but little is known about their impact on bryophytes.<b><i>Aims:</i></b> This study set out to determine the effect of different localised densities of red deer on the internationally important Northern Atlantic hepatic mat, characteristic of oceanic heath vegetation, at four locations in the Scottish Highlands where sheep have been absent for decades.<b><i>Methods:</i></b> Thirty 7 m × 7 m plots were randomly located in each study area. The standing crop dung pellet group count method was used to estimate red deer density. Species richness, diversity and cover of hepatic mat liverworts were obtained from 1 m × 1 m quadrats placed at random within the sample plots. <i>Calluna vulgaris</i> cover, ericoid height, rock cover, gradient and altitude were also recorded.<b><i>Results:</i></b> Model simplification in analysis of covariance revealed a consistent pattern of decreasing cover of hepatic mat and <i>Calluna</i> with increasing red deer density at all four study areas. Northern Atlantic hepatic mat cover, diversity and species richness were positively correlated with <i>Calluna</i> cover.<b><i>Conclusions:</i></b> The data suggest that <i>Calluna</i> cover is reduced (through trampling and browsing) at high local densities of red deer which has had cascading effects on the Northern Atlantic hepatic mat. Alternative explanations are discussed.