cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1008322.v1
title: Land use change propensity maps

description: Land-use control and planning instruments face new challenges amid growing pressure for urbanization and annexation of valuable agricultural land and natural areas. This paper presents the land-use change propensity map, which shows the local potential for specific land-use changes. Propensity is derived empirically on the basis of historical land-use changes, with an explicit evaluation of characteristics that contributed to land-use change.Each step in creating a propensity map is described: selecting data that best represents land-use changes, identifying potential drivers of land-use change and the statistical inference of their impact on land-use change on the basis of observed historical land-use changes. The resulting propensity for land-use change is represented in the form of a binary logit model that evaluates the probability of specific land-use changes.A series of propensity maps for the territory of the Tábor microregion in the Czech Republic was created to demonstrate the method. The scale of the propensity maps is 1:310,000, and they cover an area of 1002 km<sup>2</sup>. Each propensity map represents the specific propensity for conversion from non-urban uses to family, multi-family and individual recreation houses. The evaluated propensity can be further compared to existing or proposed land-use regulations.
DOI: 10.6084/m9.figshare.1008325.v2
title: Type 1 error rate using TFCE for ERP

description: The archive contains codes used to create and analyze the data for 1) the review paper on clustering methods and 2) the OHBM poster on using TFCE to control the type 1 error rate over the whole space of EEG data analyzed - the data (ie the actual FWER measured per subject) are also availbale.
DOI: 10.6084/m9.figshare.1008311
title: Type 1 error rate using clustering for ERP

description: The archive contains codes used to create and analyze the data for the review paper on clustering methods to control the type 1 error rate over the whole space of EEG data analyzed - the raw data are two large but we made available the intermediate results (ie the actual FWER measured per subject, method, etc).
DOI: 10.6084/m9.figshare.1008322.v2
title: Land use change propensity maps

description: Land-use control and planning instruments face new challenges amid growing pressure for urbanization and annexation of valuable agricultural land and natural areas. This paper presents the land-use change propensity map, which shows the local potential for specific land-use changes. Propensity is derived empirically on the basis of historical land-use changes, with an explicit evaluation of characteristics that contributed to land-use change.Each step in creating a propensity map is described: selecting data that best represents land-use changes, identifying potential drivers of land-use change and the statistical inference of their impact on land-use change on the basis of observed historical land-use changes. The resulting propensity for land-use change is represented in the form of a binary logit model that evaluates the probability of specific land-use changes.A series of propensity maps for the territory of the Tábor microregion in the Czech Republic was created to demonstrate the method. The scale of the propensity maps is 1:310,000, and they cover an area of 1002 km<sup>2</sup>. Each propensity map represents the specific propensity for conversion from non-urban uses to family, multi-family and individual recreation houses. The evaluated propensity can be further compared to existing or proposed land-use regulations.
DOI: 10.6084/m9.figshare.1008292
title: Estimation and inference in regression discontinuity designs with asymmetric kernels

description: We study the behaviour of the Wald estimator of causal effects in regression discontinuity design when local linear regression (LLR) methods are combined with an asymmetric gamma kernel. We show that the resulting statistic is no more complex to implement than existing methods, remains consistent at the usual non-parametric rate, and maintains an asymptotic normal distribution but, crucially, has bias and variance that do not depend on kernel-related constants. As a result, the new estimator is more efficient and yields more reliable inference. A limited Monte Carlo experiment is used to illustrate the efficiency gains. As a by product of the main discussion, we extend previous published work by establishing the asymptotic normality of the LLR estimator with a gamma kernel. Finally, the new method is used in a substantive application.
DOI: 10.6084/m9.figshare.1008325.v3
title: Type 1 error rate using TFCE for ERP

description: The archive contains codes used to create and analyze the data for 1) the review paper on clustering methods and 2) the OHBM poster on using TFCE to control the type 1 error rate over the whole space of EEG data analyzed - the data (ie the actual FWER measured per subject) are also availbale.
DOI: 10.6084/m9.figshare.1008322.v4
title: Land use change propensity maps

description: Land-use control and planning instruments face new challenges amid growing pressure for urbanization and annexation of valuable agricultural land and natural areas. This paper presents the land-use change propensity map, which shows the local potential for specific land-use changes. Propensity is derived empirically on the basis of historical land-use changes, with an explicit evaluation of characteristics that contributed to land-use change. Each step in creating a propensity map is described: selecting data that best represents land-use changes, identifying potential drivers of land-use change and the statistical inference of their impact on land-use change on the basis of observed historical land-use changes. The resulting propensity for land-use change is represented in the form of a binary logit model that evaluates the probability of specific land-use changes. A series of propensity maps for the territory of the Tábor microregion in the Czech Republic was created to demonstrate the method. The scale of the propensity maps is 1:310,000, and they cover an area of 1002 km<sup>2</sup>. Each propensity map represents the specific propensity for conversion from non-urban uses to family, multi-family and individual recreation houses. The evaluated propensity can be further compared to existing or proposed land-use regulations.
DOI: 10.6084/m9.figshare.1008292.v2
title: Estimation and inference in regression discontinuity designs with asymmetric kernels

description: We study the behaviour of the Wald estimator of causal effects in regression discontinuity design when local linear regression (LLR) methods are combined with an asymmetric gamma kernel. We show that the resulting statistic is no more complex to implement than existing methods, remains consistent at the usual non-parametric rate, and maintains an asymptotic normal distribution but, crucially, has bias and variance that do not depend on kernel-related constants. As a result, the new estimator is more efficient and yields more reliable inference. A limited Monte Carlo experiment is used to illustrate the efficiency gains. As a by product of the main discussion, we extend previous published work by establishing the asymptotic normality of the LLR estimator with a gamma kernel. Finally, the new method is used in a substantive application.
DOI: 10.6084/m9.figshare.1008292.v1
title: Estimation and inference in regression discontinuity designs with asymmetric kernels

description: We study the behaviour of the Wald estimator of causal effects in regression discontinuity design when local linear regression (LLR) methods are combined with an asymmetric gamma kernel. We show that the resulting statistic is no more complex to implement than existing methods, remains consistent at the usual non-parametric rate, and maintains an asymptotic normal distribution but, crucially, has bias and variance that do not depend on kernel-related constants. As a result, the new estimator is more efficient and yields more reliable inference. A limited Monte Carlo experiment is used to illustrate the efficiency gains. As a by product of the main discussion, we extend previous published work by establishing the asymptotic normality of the LLR estimator with a gamma kernel. Finally, the new method is used in a substantive application.
DOI: 10.6084/m9.figshare.1008322.v3
title: Land use change propensity maps

description: Land-use control and planning instruments face new challenges amid growing pressure for urbanization and annexation of valuable agricultural land and natural areas. This paper presents the land-use change propensity map, which shows the local potential for specific land-use changes. Propensity is derived empirically on the basis of historical land-use changes, with an explicit evaluation of characteristics that contributed to land-use change.Each step in creating a propensity map is described: selecting data that best represents land-use changes, identifying potential drivers of land-use change and the statistical inference of their impact on land-use change on the basis of observed historical land-use changes. The resulting propensity for land-use change is represented in the form of a binary logit model that evaluates the probability of specific land-use changes.A series of propensity maps for the territory of the Tábor microregion in the Czech Republic was created to demonstrate the method. The scale of the propensity maps is 1:310,000, and they cover an area of 1002 km<sup>2</sup>. Each propensity map represents the specific propensity for conversion from non-urban uses to family, multi-family and individual recreation houses. The evaluated propensity can be further compared to existing or proposed land-use regulations.
DOI: 10.6084/m9.figshare.1008266
title: Model Beehlera - raport

description: Beehler Contemporary Cash Management
DOI: 10.6084/m9.figshare.1008264
title: Model Beehlera

description: Model Beehlera autorstwa E. Kopyto
DOI: 10.6084/m9.figshare.1008239
title: Refleksje na temat pracy Hanny Kozierskiej (WIktoria Swicelska)

description: Recenzja pracy Hanny Kozierskiej pt. "Współczesny model zarządzania gotówką"
DOI: 10.6084/m9.figshare.1008264.v1
title: refleksje na temat pracy

description: refleksje na temat pracy Model Beehlera autorstwa E. Kopyto
DOI: 10.6084/m9.figshare.1008264.v2
title: Model Beehlera

description: Model Beehlera autorstwa E. Kopyto
DOI: 10.6084/m9.figshare.1008266.v1
title: Model Beehlera - raport

description: Beehler Contemporary Cash Management
DOI: 10.6084/m9.figshare.1008237
title: Współczesny model Zarządzania Gotówką Hanna Kozierska 135903

description: Praca dotycząca współczesnego modelu zarządzania gotówką Beehlera
DOI: 10.6084/m9.figshare.1008239.v1
title: Refleksje na temat pracy Hanny Kozierskiej (WIktoria Swicelska)

description: Recenzja pracy Hanny Kozierskiej pt. "Współczesny model zarządzania gotówką"
DOI: 10.6084/m9.figshare.1008205
title: Sharing Health Information - Fileset

description: Fileset contents: 1. Sharing-Health-Information-Questions.pdf – PDF<br>document with survey questions and study overview 2. Informed-Consent-SHARING-HEALTHINFORMATION.pdf – PDF document with study consent form 3. Sharing-Health-Information-Responses.csv – Comma-delimited file with all response data 4. Sharing-Health-Information-Analysis.xls – Microsoft Excel document with analysis data 5. Sharing-Health-Information-Figures.pdf – PDF<br>document with all figures 6. AAAI-2014-Big-Desire-to-Share-Big-Health-Data – PDF document of research paper
DOI: 10.6084/m9.figshare.1008237.v1
title: Współczesny model Zarządzania Gotówką Hanna Kozierska 135903

description: Praca dotycząca współczesnego modelu zarządzania gotówką Beehlera
DOI: 10.6084/m9.figshare.1008203
title: Sharing Health Information - Analysis

description: Microsoft Excel document with analysis data
DOI: 10.6084/m9.figshare.1008202
title: Sharing Health Information - Responses

description: Comma-delimited file with all response data
DOI: 10.6084/m9.figshare.1008203.v1
title: Sharing Health Information - Analysis

description: Microsoft Excel document with analysis data
DOI: 10.6084/m9.figshare.1008198
title: My CV - April 2014

description: My CV - heck why not post on figshare
DOI: 10.6084/m9.figshare.1008153
title: Article to article network, via hyperlinks, from Wikipedia 'Archaeology' page

description: Collected using the WikiImporter for NodeXL. Seeded from the 'Archaeology' page on Wikipedia; 1.5 links deep.
DOI: 10.6084/m9.figshare.1008202.v1
title: Sharing Health Information - Responses

description: Comma-delimited file with all response data
DOI: 10.6084/m9.figshare.1008205.v1
title: Sharing Health Information - Fileset

description: Fileset contents: 1. Sharing-Health-Information-Questions.pdf – PDF<br>document with survey questions and study overview 2. Informed-Consent-SHARING-HEALTHINFORMATION.pdf – PDF document with study consent form 3. Sharing-Health-Information-Responses.csv – Comma-delimited file with all response data 4. Sharing-Health-Information-Analysis.xls – Microsoft Excel document with analysis data 5. Sharing-Health-Information-Figures.pdf – PDF<br>document with all figures
DOI: 10.6084/m9.figshare.1008152
title: Hyperlink Coauthorship, User-Article Network, from Wikipedia 'Archaeology' article

description: The raw data from a download, 4/26/2014, using the WikImporter plugin for NodeXL
DOI: 10.6084/m9.figshare.1008205.v3
title: Sharing Health Information - Fileset

description: Fileset contents: 1. Sharing-Health-Information-Questions.pdf – PDF<br>document with survey questions and study overview 2. Informed-Consent-SHARING-HEALTHINFORMATION.pdf – PDF document with study consent form 3. Sharing-Health-Information-Responses.csv – Comma-delimited file with all response data 4. Sharing-Health-Information-Analysis.xls – Microsoft Excel document with analysis data 5. Sharing-Health-Information-Figures.pdf – PDF<br>document with all figures 6. AAAI-2014-Big-Desire-to-Share-Big-Health-Data – PDF document of research paper
DOI: 10.6084/m9.figshare.1008205.v2
title: Sharing Health Information - Fileset

description: Fileset contents: 1. Sharing-Health-Information-Questions.pdf – PDF<br>document with survey questions and study overview 2. Informed-Consent-SHARING-HEALTHINFORMATION.pdf – PDF document with study consent form 3. Sharing-Health-Information-Responses.csv – Comma-delimited file with all response data 4. Sharing-Health-Information-Analysis.xls – Microsoft Excel document with analysis data 5. Sharing-Health-Information-Figures.pdf – PDF<br>document with all figures 6. AAAI-2014-Big-Desire-to-Share-Big-Health-Data – PDF document of research paper
DOI: 10.6084/m9.figshare.1008074
title: SAA 2014 Presentation

description: Presentation slides for our paper "Cultural Transmission of Structured Knowledge and Technological Complexity: The Axelrod Model Extended" at the 79th Annual Meeting of the Society for American Archaeology Preprint of the paper in the links below
DOI: 10.6084/m9.figshare.1008077
title: Gaussian Job Archive for C6H6Br2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1008198.v1
title: My CV - April 2014

description: My CV - heck why not post on figshare
DOI: 10.6084/m9.figshare.1008198.v3
title: My CV - April 2014

description: My CV - heck why not post on figshare
DOI: 10.6084/m9.figshare.1008047
title: Gaussian Job Archive for C8H6F3NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1008074.v1
title: SAA 2014 Presentation

description: Presentation slides for our paper "Cultural Transmission of Structured Knowledge and Technological Complexity: The Axelrod Model Extended" at the 79th Annual Meeting of the Society for American Archaeology Preprint of the paper in the links below
DOI: 10.6084/m9.figshare.1008077.v1
title: Gaussian Job Archive for C6H6Br2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1008047.v1
title: Gaussian Job Archive for C8H6F3NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1008198.v2
title: My CV - April 2014

description: My CV - heck why not post on figshare
DOI: 10.6084/m9.figshare.1007717
title: Germination data for nurse-plant effects on the seed biology and germination of desert annuals

description: Simplified data for the Austral Ecology paper here: http://onlinelibrary.wiley.com/doi/10.1111/aec.12144/abstract <strong>Abstract</strong><br>Nurse-plants generally have positive effects on understorey species by creating more suitable conditions for stress-intolerant plants relative to open micro-habitats. However, long-term effects of this plant–plant facilitation system have been rarely examined. Seeds of five desert annual species from Atiquipa coastal desert in Southern Peru were used to examine whether different microenvironmental conditions under the nurse-plants Caesalpinia spinosa Molina (Kuntze) lead to differences in seed biology and germinability of annual plants relative to open, canopy-free conditions. Seeds collected from plants associated with nurse-plants were predicted to be (i) larger due to more favourable growing conditions, (ii) more viable and with greater germination rates, (iii) less variable in size and viability due to reduced environmental heterogeneity, and (iv) to germinate faster to avoid apparent competition with other annuals. Seed attribute measurements and germination trials in growth chambers were used to test these predictions. Although the plant abundance of only 2 of 5 species was strongly facilitated by the nurse-plant, no significant differences were found in seed mass, viability or relative variability between understorey and open micro-habitats for any of the species. Contrary to our predictions, final seed germination rates of seeds from open micro-habitats were higher, and the open micro-habitat treatment was more favourable for germination of seeds from both open and understorey environments. Taken together, these results suggest that plant–plant facilitation does not necessarily affect seed biology traits. Further studies addressing larger distribution ranges and/or density gradients of understorey species will illuminate the potential evolutionary effects of nurse-plants.
DOI: 10.6084/m9.figshare.1007718
title: IDL API wrapper for Astrometry.net

description: This IDL routine uses the Python client written by the astrometrynet team (see first link below) to upload multiple fits images to the astrometry.net servers. An astrometry solution is then built, downloaded and appended to the original fits header. Please read the "README.txt" for all information. Special thanks go to exelis technical support engineers Fernando Santoro and Jim Uba for help with the spawn function at the core of the spawn_astrometrynet_api.pro procedure. Any work using this must refer to astrometry.net in the following way : "This service uses tools provided by Astrometry.net. For more details, visit http://astrometry.net/"
DOI: 10.6084/m9.figshare.1007712
title: Discovering health topics in social media using topic models

description: Data set for M. Paul and M. Dredze, "Discovering health topics in social media using topic models". This includes the set of tweets used in the experiments, and the words associated<br>with ailments discovered by the Ailment Topic Aspect Model (ATAM). Contact: Michael Paul (mpaul39@gmail.com)<br>Released June 26, 2014 atam.topwords.csv<br>- The most probable words for each ailment. The first column is the ailment ID.<br>The second column indicates if it is a general (G), symptom (S), or treatment (T) word.<br>The third column is the word. The fourth column is the probability. Words are shown<br>in descending order of probability until 90% of the probability mass is accumulated<br>for each ailment or until probabilities drop below 1.0e-4. atam.tweets.x.csv (for x=[0-9])<br>- The tweets used in the study. The first column is the tweet ID. The second column<br>indicates the ailment ID for the ailment sampled for that tweet.<br>(See the atam.topwords.csv file for the most probable words associated with each ailment ID.)<br>Full tweets can be downloaded using the tweet ID through the Twitter API<br>(https://dev.twitter.com/docs/api/1.1). keywords.txt<br> - The set of 269 health-related keywords used in our keyword-filtered Twitter stream as part of our dataset. keywords_x.txt (for x={diseases,symptoms,treatments})<br>- The set of approximately 20,000 keyphrases crawled from wrongdiagnosis.com describing<br>the names of diseases, symptoms, and treatments and medications. These keyword lists are<br>used to create input for ATAM (which requires phrases to be labeled as symptoms or treatments),<br>and also to initially filter our dataset when constructing our health classifiers.
DOI: 10.6084/m9.figshare.1007716
title: Fayard et al (2009) Study 1

description: Replication of a study by Zhong and Liljenquist (2006), published in Fayard, Bassi, Bernstein, and Roberts (2009; see link below).
DOI: 10.6084/m9.figshare.1007711
title: DDR Experiments 2013

description: Diversity is often associated with the functional stability of ecological communities from microbes to macroorganisms. Understanding how diversity responds to environmental perturbations, and the consequences of this relationship for ecosystem function, are thus central challenges in microbial ecology. Unimodal diversity-disturbance relationships, in which maximum diversity occurs at intermediate levels of disturbance, have been predicted for ecosystems where life-history tradeoffs separate organisms along a disturbance gradient. However, empirical support for such peaked relationships in macrosystems is mixed, and few studies have explored these relationships in microbial systems. Here we use complex microbial microcosm communities to systematically determine diversity-disturbance relationships over a range of disturbance regimes. We observed a reproducible switch between community types, which gave rise to transient diversity maxima when community types were forced to mix. Communities showed reduced compositional stability when diversity was highest. To further explore these dynamics, we formulated a simple model that reveals specific regimes under which diversity maxima are stable. Together, our results show how both unimodal and non-unimodal diversity-disturbance relationships can be observed as a system switches between two distinct microbial community states; this process likely occurs across a wide range of spatially and temporally heterogeneous microbial ecosystems.
DOI: 10.6084/m9.figshare.1007718.v2
title: IDL API wrapper for Astrometry.net

description: This IDL routine uses the Python client written by the astrometrynet team (see first link below) to upload multiple fits images to the astrometry.net servers. An astrometry solution is then built, downloaded and appended to the original fits header. Please read the "README.txt" for all information. Special thanks go to exelis technical support engineers Fernando Santoro and Jim Uba for help with the spawn function at the core of the spawn_astrometrynet_api.pro procedure. Any work using this must refer to astrometry.net in the following way : "This service uses tools provided by Astrometry.net. For more details, visit http://astrometry.net/"
DOI: 10.6084/m9.figshare.1007705
title: Refleksje na temat pracy WSPÓŁCZESNY MODEL ZARZĄDZANIA ŚRODKAMI PIENIĘŻNYMI BEEHLERA

description: Presented review pertains to the work: The contemporary model of cash management Beehler. Review verify and evaluate compliance with the requirements, realize the correctness of the subject and the aesthetics of. The work was assessed on the basis of criteria: content, structure, aesthetics, accuracy of conclusions.