cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12917483
title: Summary data from Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish

description: Understanding the emergence of collective behaviour has long been a key research focus in the natural sciences. Besides the fundamental role of social interaction rules, a combination of theoretical and empirical work indicates individual speed may be a key process that drives the collective behaviour of animal groups. Socially induced changes in speed by interacting animals make it difficult to isolate the effects of individual speed on group-level behaviours. Here, we tackled this issue by pairing guppies with a biomimetic robot. We used a closed-loop tracking and feedback system to let a robotic fish naturally interact with a live partner in real time, and programmed it to strongly copy and follow its partner's movements while lacking any preferred movement speed or directionality of its own. We show that individual differences in guppies' movement speed were highly repeatable and shaped key collective patterns: higher individual speeds resulted in stronger leadership, lower cohesion, higher alignment and better temporal coordination in the pairs. By combining the strengths of individual-based models and observational work with state-of-the-art robotics, we provide novel evidence that individual speed is a key, fundamental process in the emergence of collective behaviour.
DOI: 10.6084/m9.figshare.12917483.v1
title: Summary data from Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish

description: Understanding the emergence of collective behaviour has long been a key research focus in the natural sciences. Besides the fundamental role of social interaction rules, a combination of theoretical and empirical work indicates individual speed may be a key process that drives the collective behaviour of animal groups. Socially induced changes in speed by interacting animals make it difficult to isolate the effects of individual speed on group-level behaviours. Here, we tackled this issue by pairing guppies with a biomimetic robot. We used a closed-loop tracking and feedback system to let a robotic fish naturally interact with a live partner in real time, and programmed it to strongly copy and follow its partner's movements while lacking any preferred movement speed or directionality of its own. We show that individual differences in guppies' movement speed were highly repeatable and shaped key collective patterns: higher individual speeds resulted in stronger leadership, lower cohesion, higher alignment and better temporal coordination in the pairs. By combining the strengths of individual-based models and observational work with state-of-the-art robotics, we provide novel evidence that individual speed is a key, fundamental process in the emergence of collective behaviour.
DOI: 10.6084/m9.figshare.3464099
title: Properties of the 48 building archetypes used to characterise the building stock of the City of Melbourne, Australia

description: This dataset presents the different assemblies used to characterise each of the 48 different building archetypes used to characterise the building stock of the City of Melbourne, Australia.<br>Note these archetypes are only an approximation of reality and the properties might significantly differ from a particular building that belongs to the same typology, age group and height category.
DOI: 10.6084/m9.figshare.3464099.v1
title: Properties of the 48 building archetypes used to characterise the building stock of the City of Melbourne, Australia

description: This dataset presents the different assemblies used to characterise each of the 48 different building archetypes used to characterise the building stock of the City of Melbourne, Australia.<br>Note these archetypes are only an approximation of reality and the properties might significantly differ from a particular building that belongs to the same typology, age group and height category.
DOI: 10.6084/m9.figshare.3464096
title: Construction assemblies used in 48 building archetypes representing the current building stock of the City of Melbourne, Australia

description: This dataset comprises the list of different assemblies used to characterise the building stock of the City of Melbourne, Australia in 2016. It is based on expert knowledge in construction and architectural history.<br>Note that the dataset is used to provide an average material composition of construction assemblies. It should be considered as an indication only.
DOI: 10.6084/m9.figshare.3464096.v1
title: Construction assemblies used in 48 building archetypes representing the current building stock of the City of Melbourne, Australia

description: This dataset comprises the list of different assemblies used to characterise the building stock of the City of Melbourne, Australia in 2016. It is based on expert knowledge in construction and architectural history.<br>Note that the dataset is used to provide an average material composition of construction assemblies. It should be considered as an indication only.
DOI: 10.6084/m9.figshare.3464075.v2
title: TiO2 nanoparticles surfaces: binding of carbon monoxide explained

description: Infographic explaining the main findings of the article:<br>Deiana, C., Fois, E., Martra, G., Narbey, S., Pellegrino, F. and Tabacchi, G. (2016), On the Simple Complexity of Carbon Monoxide on Oxide Surfaces: Facet-Specific Donation and Backdonation Effects Revealed on TiO2 Anatase Nanoparticles. ChemPhysChem. doi:10.1002/cphc.201600284
DOI: 10.6084/m9.figshare.3464075.v3
title: TiO2 nanoparticles surfaces: binding of carbon monoxide explained

description: Infographic explaining the main findings of the article:<br>Deiana, C., Fois, E., Martra, G., Narbey, S., Pellegrino, F. and Tabacchi, G. (2016), On the Simple Complexity of Carbon Monoxide on Oxide Surfaces: Facet-Specific Donation and Backdonation Effects Revealed on TiO2 Anatase Nanoparticles. ChemPhysChem. doi:10.1002/cphc.201600284
DOI: 10.6084/m9.figshare.3464075.v4
title: TiO2 nanoparticles surfaces: binding of carbon monoxide explained

description: Infographic explaining the main findings of the article:<br>Deiana, C., Fois, E., Martra, G., Narbey, S., Pellegrino, F. and Tabacchi, G. (2016), On the Simple Complexity of Carbon Monoxide on Oxide Surfaces: Facet-Specific Donation and Backdonation Effects Revealed on TiO2 Anatase Nanoparticles. ChemPhysChem. doi:10.1002/cphc.201600284
DOI: 10.6084/m9.figshare.3464069
title: schéma_formation.pptx

description: Test du dépôt de données
DOI: 10.6084/m9.figshare.3464069.v1
title: schéma_formation.pptx

description: Test du dépôt de données
DOI: 10.6084/m9.figshare.3464057
title: VDD(Lin-Log) 2.xls

description: Correlation analysis of VDD vs all genome, p(LIN) and p(LOG). person coef. <b>&gt; </b>0.6.
DOI: 10.6084/m9.figshare.3464057.v2
title: VDD(Lin-Log) 2.xls

description: Correlation analysis of VDD vs all genome, p(LIN) and p(LOG). person coef. <b>&gt; </b>0.6.
DOI: 10.6084/m9.figshare.3464057.v1
title: supp2 VDD(Lin-Log) 2.xls

description: Correlation analysis of VDD vs all genome, p(LIN) and p(LOG). person coef. <b>&gt; </b>0.6.
DOI: 10.6084/m9.figshare.3464054
title: STK(Lin-Log) 1.xls

description: Correlation analysis of STK vs all genome, p(LIN) and p(LOG). person coef. <b>&gt; </b>0.6 .
DOI: 10.6084/m9.figshare.3464054.v2
title: STK(Lin-Log) 1.xls

description: Correlation analysis of STK vs all genome, p(LIN) and p(LOG). person coef. <b>&gt; </b>0.6 .
DOI: 10.6084/m9.figshare.3464054.v1
title: STK(Lin-Log) 1.xls

description: Correlation analysis of STK vs all genome, p(LIN) and p(LOG). person coef. <b>&gt; </b>0.6 .
DOI: 10.6084/m9.figshare.3463496
title: List of stress and relaxation terms with strengths

description: A list of terms associating with, or expressing stress or relaxation. Each term has a human estimated strength.<br><br>This was used in the following paper and is free for others to use.<br>Thelwall, M. (in press). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management.
DOI: 10.6084/m9.figshare.3463493
title: Stress and relaxation in tweets - evaluation corpus

description: Evaluation corpus of tweets with human coding for stress and relaxation strength. Each score is the average of 3 human coders.<br>This was used in the following paper and is free for others to use.<br>Thelwall, M. (in press). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management.
DOI: 10.6084/m9.figshare.3463490
title: Stress and relaxation in tweets - development corpus

description: A development corpus of tweets with human coding for stress and relaxation. <br>This was used in the following paper and is free for other to use.<br>Thelwall, M. (in press). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management.
DOI: 10.6084/m9.figshare.3463487
title: Spreadsheet used for stress and relaxation coding of tweets

description: The spreadsheet used for coding stress and relaxation in tweets. The codebook and additional instructions have also been uploaded to Figshare<br>This was used in the following paper and is free for other to use.<br>Thelwall, M. (in press). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management.
DOI: 10.6084/m9.figshare.3463448
title: Online work force analyzes social media to identify consequences of an unplanned school closure – using technology to prepare for the next pandemic

description: We used the social media-monitoring platform Radian6 (San Francisco, CA) to retrospectively capture social media posts related to the Chicago City School District closure in September 2012. Social media in dataset include posts from Twitter, Facebook, blogs, forums, and comments between September 8 and September 12, (two days before the strike started to two days after the strike ended). We used the following combination of search terms: “strike Chicago” AND “breakfast” OR “childcare” OR “daycare” OR “lunch” OR “parent”. A proximity score of “5” was applied to the terms “strike” and “Chicago” (on a scale of 1–20, with 1 being exact [i.e., strike and Chicago together]).<br>Column headings include: Unique post identifying number (NUMBER), post content (CONTENT), social media provider (MEDIA_PROVIDER), and publishing date/time (PUBLISH_DATE). <br>These posts were reviewed and categorized as relevant (related to impact of closure on students and their families) or irrelevant (describing political aspects of strike, welfare system, or other unrelated topics). Relevant posts were further analyzed for underlying sentiment (positive, neutral, or negative).
DOI: 10.6084/m9.figshare.3463448.v1
title: Social Media related to Unplanned School Closure due to Chicago Teachers' Strike, September 2012

description: We used the social media-monitoring platform Radian6 (San Francisco, CA) to retrospectively capture social media posts related to the Chicago City School District closure in September 2012. Social media in dataset include posts from Twitter, Facebook, blogs, forums, and comments between September 8 and September 12, (two days before the strike started to two days after the strike ended). We used the following combination of search terms: “strike Chicago” AND “breakfast” OR “childcare” OR “daycare” OR “lunch” OR “parent”. A proximity score of “5” was applied to the terms “strike” and “Chicago” (on a scale of 1–20, with 1 being exact [i.e., strike and Chicago together]).<br>Column headings include: Unique post identifying number (NUMBER), post content (CONTENT), social media provider (MEDIA_PROVIDER), and publishing date/time (PUBLISH_DATE). <br>These posts were reviewed and categorized as relevant (related to impact of closure on students and their families) or irrelevant (describing political aspects of strike, welfare system, or other unrelated topics). Relevant posts were further analyzed for underlying sentiment (positive, neutral, or negative).
DOI: 10.6084/m9.figshare.3463448.v3
title: Online work force analyzes social media to identify consequences of an unplanned school closure – using technology to prepare for the next pandemic

description: We used the social media-monitoring platform Radian6 (San Francisco, CA) to retrospectively capture social media posts related to the Chicago City School District closure in September 2012. Social media in dataset include posts from Twitter, Facebook, blogs, forums, and comments between September 8 and September 12, (two days before the strike started to two days after the strike ended). We used the following combination of search terms: “strike Chicago” AND “breakfast” OR “childcare” OR “daycare” OR “lunch” OR “parent”. A proximity score of “5” was applied to the terms “strike” and “Chicago” (on a scale of 1–20, with 1 being exact [i.e., strike and Chicago together]).<br>Column headings include: Unique post identifying number (NUMBER), post content (CONTENT), social media provider (MEDIA_PROVIDER), and publishing date/time (PUBLISH_DATE). <br>These posts were reviewed and categorized as relevant (related to impact of closure on students and their families) or irrelevant (describing political aspects of strike, welfare system, or other unrelated topics). Relevant posts were further analyzed for underlying sentiment (positive, neutral, or negative).
DOI: 10.6084/m9.figshare.3463448.v2
title: Online work force analyzes social media to identify consequences of an unplanned school closure – using technology to prepare for the next pandemic

description: We used the social media-monitoring platform Radian6 (San Francisco, CA) to retrospectively capture social media posts related to the Chicago City School District closure in September 2012. Social media in dataset include posts from Twitter, Facebook, blogs, forums, and comments between September 8 and September 12, (two days before the strike started to two days after the strike ended). We used the following combination of search terms: “strike Chicago” AND “breakfast” OR “childcare” OR “daycare” OR “lunch” OR “parent”. A proximity score of “5” was applied to the terms “strike” and “Chicago” (on a scale of 1–20, with 1 being exact [i.e., strike and Chicago together]).<br>Column headings include: Unique post identifying number (NUMBER), post content (CONTENT), social media provider (MEDIA_PROVIDER), and publishing date/time (PUBLISH_DATE). <br>These posts were reviewed and categorized as relevant (related to impact of closure on students and their families) or irrelevant (describing political aspects of strike, welfare system, or other unrelated topics). Relevant posts were further analyzed for underlying sentiment (positive, neutral, or negative).
DOI: 10.6084/m9.figshare.3463442
title: EU Referendum results

description: Election results scraped from BBC website, amended to include UK 9 digit codes for each result area for easier matching with other datasets.
DOI: 10.6084/m9.figshare.3463442.v1
title: EU Referendum results

description: Election results scraped from BBC website, amended to include UK 9 digit codes for each result area for easier matching with other datasets.
DOI: 10.6084/m9.figshare.3463418
title: Data_correlation_GT_BARK

description: Data used for the correlation between ground thruth (i.e. manual annotation) and the software recording
DOI: 10.6084/m9.figshare.3463418.v1
title: Data_correlation_GT_BARK

description: Data used for the correlation between ground thruth (i.e. manual annotation) and the software recording
DOI: 10.6084/m9.figshare.3463415
title: Running Fuzzy Experience

description: This is a matlab code for the Fuzzy toolbox in Matlab for classifying long-distance runners experience.
DOI: 10.6084/m9.figshare.3463415.v1
title: Running Fuzzy Experience

description: This is a matlab code for the Fuzzy toolbox in Matlab for classifying long-distance runners experience.
DOI: 10.6084/m9.figshare.3463325
title: Autofluorescence Dataset for Contact Epithelial Cells Analyzed by Flow Cytometry

description: Touch samples were obtained pursuant to VCU-IRB approved protocol ID# HM20000454_CR. Volunteers were asked to rub a sterile polypropylene conical tube (P/N 229421; Celltreat Scientific) using their palm and fingers for five minutes. Cells were collected from the surface with sterile pre-wetted swabs (P/N 22037924; Fisher Scientific) followed by dry swabs. A total of six wet swabs and two dry swabs were used to sample the entire tube surface. To elute the cells into solution, the swabs were manually stirred then vortexed for 15 seconds in 10 mL of ultrapure water (18.2 MΩ∙cm). The entire solution was then passed through a 100 µm filter mesh prior to flow cytometry analysis.<br>For the two-person mixture samples, each donor rubbed a tube as described above. The entire surface area of the tube (excluding the cap) was swabbed with one slightly wetted cotton-tipped swab followed by one dry swab. The swabs were then eluted in 2mL of sterile water, vortexed for 15 seconds, and passed through a 100 µm mesh filter. An 860 µL aliquot of each donor’s touch cell solution was combined to create a 1:1 mixture (by volume) for flow cytometry analysis.<br>Intrinsic fluorescence measurements were collected on three different flow cytometry instruments- BD FACSAria™ Il flow cytometer, BD FACSCanto™ II Analyzer, and the BD Influx™ Cell Sorter (all from Becton Dickinson, Franklin Lakes, NJ). The FACSCanto and FACS Aria platforms were equipped with 488nm and 633nm lasers. The Influx cell sorter was equipped with 488, 561, and 640nm lasers. Channel voltages for the FACS Aria were set as follows: FSC, 200V; SSC, 475V; APC, 400V. Channel voltages for the FACSCanto were set at Forward Scatter (FSC, 150V), Side Scatter (SSC, 200V) and Allophycocyanin (APC, 250V). Channel voltages for the Influx flow cytometer were set as follows: Forward Scatter (FSC, 17.5V), Side Scatter (SSC, 16V) and Allophycocyanin (APC, 74.6V).<br>Flow cytometry source data for all samples are provided in Flow Cytometry Standard (.fcs) format files. Data files are labeled by date of collection, instrument, and Sample ID. Two person mixture samples are labeled with the two donor IDs representing each contributor.
DOI: 10.6084/m9.figshare.3463325.v1
title: Autofluorescence Dataset for Contact Epithelial Cells Analyzed by Flow Cytometry

description: Touch samples were obtained pursuant to VCU-IRB approved protocol ID# HM20000454_CR. Volunteers were asked to rub a sterile polypropylene conical tube (P/N 229421; Celltreat Scientific) using their palm and fingers for five minutes. Cells were collected from the surface with sterile pre-wetted swabs (P/N 22037924; Fisher Scientific) followed by dry swabs. A total of six wet swabs and two dry swabs were used to sample the entire tube surface. To elute the cells into solution, the swabs were manually stirred then vortexed for 15 seconds in 10 mL of ultrapure water (18.2 MΩ∙cm). The entire solution was then passed through a 100 µm filter mesh prior to flow cytometry analysis.<br>For the two-person mixture samples, each donor rubbed a tube as described above. The entire surface area of the tube (excluding the cap) was swabbed with one slightly wetted cotton-tipped swab followed by one dry swab. The swabs were then eluted in 2mL of sterile water, vortexed for 15 seconds, and passed through a 100 µm mesh filter. An 860 µL aliquot of each donor’s touch cell solution was combined to create a 1:1 mixture (by volume) for flow cytometry analysis.<br>Intrinsic fluorescence measurements were collected on three different flow cytometry instruments- BD FACSAria™ Ilu flow cytometer, BD FACSCanto™ II Analyzer, and the BD Influx™ Cell Sorter (all from Becton Dickinson, Franklin Lakes, NJ). The FACSCanto and FACS Aria platforms were equipped with 488nm and 633nm lasers. The Influx cell sorter was equipped with 488 561, and 640nm lasers. Channel voltages for the FACS Aria were set as follows: FSC, 200V; SSC, 475V; APC, 400V. Channel voltages for the FACSCanto were set at Forward Scatter (FSC, 150V), Side Scatter (SSC, 200V) and Allophycocyanin (APC, 250V). Channel voltages for the Influx flow cytometer were set as follows: Forward Scatter (FSC, 17.5V), Side Scatter (SSC, 16V) and Allophycocyanin (APC, 74.6V).<br>Flow cytometry source data for all samples are provided in Flow Cytometry Standard (.fcs) format files. Data files are labeled by date of collection, instrument, and Sample ID. Two person mixture samples are labeled with the two donor IDs representing each contributor.
DOI: 10.6084/m9.figshare.3463316
title: Table S5. Rarefied and extrapolated statistics of estimated species richness and diversity.

description: Full diversity statistics of prey species richness estimators and prey species diversity indices computed using EstimateS (Colwell, 2013) for the entire study area (the overall diet), climates and landscapes of White Stork colonies in Northeast Algeria. Prey species estimates and diversity of rarefaction are represented in cells with green background, whereas extrapolation statistics are given in orange cells.
DOI: 10.6084/m9.figshare.3463316.v1
title: Table S5. Rarefied and extrapolated statistics of estimated species richness and diversity.

description: Full diversity statistics of prey species richness estimators and prey species diversity indices computed using EstimateS (Colwell, 2013) for the entire study area (the overall diet), climates and landscapes of White Stork colonies in Northeast Algeria. Prey species estimates and diversity of rarefaction are represented in cells with green background, whereas extrapolation statistics are given in orange cells.
DOI: 10.6084/m9.figshare.3463313
title: Table S4. Raw input dataset of White Stork diet across rural-to-urban landscapes in North African breeding grounds

description: Model of raw data used in EstimateS 9.1.0 (Colwell, 2013) for the analysis of shared prey species estimators and similarity indices between three rural-to-urban landscapes of White Stork colonies studied in Northeast Algeria.
DOI: 10.6084/m9.figshare.3463313.v1
title: Table S4. Raw input dataset of White Stork diet across rural-to-urban landscapes in North African breeding grounds

description: Model of raw data used in EstimateS 9.1.0 (Colwell, 2013) for the analysis of shared prey species estimators and similarity indices between three rural-to-urban landscapes of White Stork colonies studied in Northeast Algeria.
DOI: 10.6084/m9.figshare.3463310
title: Table S3. Raw input data of diet composition of the White Stork in different climate regions of colonies.

description: Model of raw data used in EstimateS 9.1.0 (Colwell, 2013) for the analysis of shared prey species estimators and similarity indices between three climate regions of White Stork colonies sampled in Northeast Algeria.
DOI: 10.6084/m9.figshare.3463292
title: RelativeFitness_RawData.xlsx

description: Raw values for relative fitness data at 20C, 37C and 42C for Rodriguez-Verdugo et al. PNAS 2014
DOI: 10.6084/m9.figshare.3463310.v1
title: Table S3. Raw input data of diet composition of the White Stork in different climate regions of colonies.

description: Model of raw data used in EstimateS 9.1.0 (Colwell, 2013) for the analysis of shared prey species estimators and similarity indices between three climate regions of White Stork colonies sampled in Northeast Algeria.
DOI: 10.6084/m9.figshare.3463292.v1
title: RelativeFitness_RawData.xlsx

description: Raw values for relative fitness data at 20C, 37C and 42C for Rodriguez-Verdugo et al. PNAS 2014
DOI: 10.6084/m9.figshare.3463256
title: Output results and testing contacts

description: Data for the PeerJ paper, "The evolution of logic circuits for the purpose of contact map prediction."
DOI: 10.6084/m9.figshare.3463256.v1
title: Output results and testing contacts

description: Data for the PeerJ paper, "The evolution of logic circuits for the purpose of contact map prediction."
DOI: 10.6084/m9.figshare.3463199
title: Benchmarking HIP

description: Dataset for Benchmarking postoperative pain in total hip replacement