cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1157804.v5
title: Distributional learning in adults and infants

description: <strong>1. The experiment<br></strong>The experiment is described in detail in the following publication:<br>Wanrooij, Boersma & Van Zuijen (under review; details will follow soon).<br><br><strong>2. The dataset<br></strong>This dataset consists of EEG-recordings (39 files in BDF-format) and a table (4 files = the same table in four formats: PDF, TXT, CSV and XLSX).<br><br><strong>2.1. The EEG recordings<br></strong>The 39 files with EEG recordings are the files for the adults (= 1 file per participant).<br>The files for the infants can be found here: http://dx.doi.org/10.6084/m9.figshare.1157812.<br><br>Each of the 39 files is a recording of an adult participant’s EEG during a discrimination test after distributional vowel training. In the discrimination test, the mismatch response (MMR) was measured in an oddball paradigm.<br><br>The files were recorded with a Biosemi Active Two system (Biosemi Instrumentation BV, Amsterdam, The Netherlands), and downsampled from 8 kHz to 512 Hz (with Biosemi Decimator 86).<br><br><strong>2.2. The table<br></strong>The table presents the following data per adult and infant participant: the identification number (ID), the age group (infant or adult), the experimental condition as specified by the Distribution Type (unimodal or bimodal) and the Standard Stimulus ([ε] or [æ]), and the results of our measurements as represented in the mean amplitude of the mismatch response (in microvolt).<br>The ID corresponds to the name of the BDF-files.
DOI: 10.6084/m9.figshare.1157812.v3
title: Fast phonetic learning in infants

description: <strong>1. The experiment<br></strong>The experiment is described in detail in the following publication:<br>Wanrooij, Boersma & Van Zuijen (2014). <em>Frontiers in Psychology: Language Sciences</em>, 5, article 77.<br><br><strong>2. The datase</strong>t<br>This dataset consists of EEG-recordings (44 files in BDF-format) and a table (4 files = the same table in four formats: PDF, TXT, CSV and XLSX). <br><strong>2.1. The EEG recordings<br></strong>The 44 files with EEG recordings are EEG recordings of infants (= 2 files for each of the 22 infants). The two files per infant consist of an “a”-file (i.e., the filename ends with “a”) and a “b”-file (i.e., the filename ends with “b”). The “a”-file represents the first half of the recordings; the“b”-file the second half.<br><br>The two files per infant show the infant’s EEG during a discrimination test after distributional vowel training. In the discrimination test, the mismatch response (MMR) was measured in an oddball paradigm. <br>The files were recorded with a Biosemi Active Two system (Biosemi Instrumentation BV, Amsterdam, The Netherlands), and downsampled from 8 kHz to 512 Hz (with Biosemi Decimator 86).<br><br><strong>2.2. The table<br></strong>The table presents the following data per infant participant: the identification number (ID), the age group (infant), the experimental condition as specified by the Distribution Type (unimodal or bimodal) and the Standard Stimulus ([ε] or [æ]), and the results of our measurements as represented in the mean amplitude of the mismatch response (in microvolt). The ID corresponds to the name of the BDF-files.
DOI: 10.6084/m9.figshare.1157804.v4
title: Distributional learning in adults and infants

description: <strong>1. The experiment<br></strong>The experiment is described in detail in the following publication:<br>Wanrooij, Boersma & Van Zuijen (under review; details will follow soon).<br><br><strong>2. The dataset<br></strong>This dataset consists of EEG-recordings (39 files in BDF-format) and a table (4 files = the same table in four formats: PDF, TXT, CSV and XLSX).<br><br><strong>2.1. The EEG recordings<br></strong>The 39 files with EEG recordings are the files for the adults (= 1 file per participant).<br>The files for the infants can be found here: http://dx.doi.org/10.6084/m9.figshare.1157812.<br><br>Each of the 39 files is a recording of an adult participant’s EEG during a discrimination test after distributional vowel training. In the discrimination test, the mismatch response (MMR) was measured in an oddball paradigm.<br><br>The files were recorded with a Biosemi Active Two system (Biosemi Instrumentation BV, Amsterdam, The Netherlands), and downsampled from 8 kHz to 512 Hz (with Biosemi Decimator 86).<br><br><strong>2.2. The table<br></strong>The table presents the following data per adult and infant participant: the identification number (ID), the age group (infant or adult), the experimental condition as specified by the Distribution Type (unimodal or bimodal) and the Standard Stimulus ([ε] or [æ]), and the results of our measurements as represented in the mean amplitude of the mismatch response (in microvolt).<br>The ID corresponds to the name of the BDF-files.
DOI: 10.6084/m9.figshare.1157812.v2
title: Fast phonetic learning in infants

description: <strong>1. The experiment<br></strong>The experiment is described in detail in the following publication:<br>Wanrooij, Boersma & Van Zuijen (2014). <em>Frontiers in Psychology: Language Sciences</em>, 5, article 77.<br><br><strong>2. The datase</strong>t<br>This dataset consists of EEG-recordings (44 files in BDF-format) and a table (4 files = the same table in four formats: PDF, TXT, CSV and XLSX). <br><strong>2.1. The EEG recordings<br></strong>The 44 files with EEG recordings are EEG recordings of infants (= 2 files for each of the 22 infants). The two files per infant consist of an “a”-file (i.e., the filename ends with “a”) and a “b”-file (i.e., the filename ends with “b”). The “a”-file represents the first half of the recordings; the“b”-file the second half.<br><br>The two files per infant show the infant’s EEG during a discrimination test after distributional vowel training. In the discrimination test, the mismatch response (MMR) was measured in an oddball paradigm. <br>The files were recorded with a Biosemi Active Two system (Biosemi Instrumentation BV, Amsterdam, The Netherlands), and downsampled from 8 kHz to 512 Hz (with Biosemi Decimator 86).<br><br><strong>2.2. The table<br></strong>The table presents the following data per infant participant: the identification number (ID), the age group (infant), the experimental condition as specified by the Distribution Type (unimodal or bimodal) and the Standard Stimulus ([ε] or [æ]), and the results of our measurements as represented in the mean amplitude of the mismatch response (in microvolt). The ID corresponds to the name of the BDF-files.
DOI: 10.6084/m9.figshare.1157787
title: Data from "Aspects of soil lichen biodiversity and aggregation interact to influence subsurface microbial function"

description: Data from the article: Castillo-Monroy, A. P., M. A. Bowker, P. García-Palacios & F. T. Maestre. 2014. Aspects of soil lichen biodiversity and aggregation interact to influence subsurface microbial function. Plant and Soil 386: 303-316. doi: 10.1007/s11104-014-2256-9 Abstract: Background and aims. Many previous studies have evaluated aboveground–heterotrophic belowground interactions such as plant-soil feedbacks, plant-mycorrhizal fungi associations or plant-actinorhizal symbioses. However, few studies have used biocrusts, which are specialized soil communities of autotrophic cyanobacteria, mosses, lichens and non-photosynthetic fungi and bacteria that are prevalent in drylands worldwide. These communities largely influence ecosystem functioning, and can be used as a model system for studying above-belowground interactions. In this study, we evaluated how biocrusts affect the functional diversity and biomass of microbial diversities beneath biocrusts. Methods. We performed two microcosm experiments using biocrust-forming lichens, where we manipulated their biotic attributes to test independently the effects of species richness (from two to eight species), composition, evenness (maximal and low evenness) and spatial pattern (clumped and random distribution) on the microbial catabolic profile and microbial functional diversity. Results. Microcosms with a random pattern had a higher microbial catabolic profile than those with a clumped pattern. Significant richness ´ evenness ´ pattern and richness ´ evenness interactions were found when analyzing microbial catabolic profile and biomass, respectively. Microcosms with a random pattern, intermediate number of species, and maximal evenness level had higher microbial catabolic profile. At the maximal evenness level, assemblages had higher microbial catabolic profile and microbial biomass when they contained four species. The richness ´ evenness ´ pattern interaction was the most informative predictor of variations in microbial catabolic profile. Conclusions. Our results indicate that soil microorganisms are influenced by biocrusts, just as they are influenced by plants, and highlight the importance of higher order interactions among species richness, evenness, and spatial pattern as drivers of microbial communities. The results also emphasize the importance of studying several biotic attributes simultaneously when studying biocrust-soil microorganism interactions, as in nature community properties do not exert their influence in isolation. There are two spreadsheets with data. The spreadsheet "Data_Composition_experiment" and "Data_Evenness_experiment" contains the raw microresp data (substrate utilization rates of the different carbon sources used) from the Composition and Evenness experiments, respectively. After each data spreadsheet there is a spreadshet with the associated metadata, where a description of all the variables and units can be found.
DOI: 10.6084/m9.figshare.1157791
title: Airports Internet Adoption, commercial revenue and innovation

description: 100 largest airport worldwide by passenger numbers website and commercial revenue of ech airport mobile internet adoption innovation estimation
DOI: 10.6084/m9.figshare.1157791.v1
title: Airports Internet Adoption, commercial revenue and innovation

description: 100 largest airport worldwide by passenger numbers website and commercial revenue of ech airport mobile internet adoption innovation estimation
DOI: 10.6084/m9.figshare.1157837.v4
title: Data for Paper: Population-wide failure to breed in the Clark’s nutcracker

description: (1) Body measurements of all Clark’s nutcrackers trapped 2009 – 2012. Data used to evaluate adult body condition index. (2) Body condition index and associated Julian date of capture and fat score. (3) Number of days I tracked each radio tagged bird (2010-2012). (4) Habitat at nest and nest building locations. (5) Habitat at occupancy survey points. (6) Average environmental conditions during breeding and nonbreeding years. (7) Habitat at daily work locations. For continuous measures of cone crop, snowpack and temperature, see third party sources: Whitebark pine cone crop data was obtained from a third party and can be requested from the Interagency Grizzly Bear Study Team (http://www.nrmsc.usgs.gov/research/igbst-home.htm). Snowpack and temperature data are available online from the United States Department of Agriculture Natural Resources Conservation Service Togwotee Pass SNOTEL station (http://www.wcc.nrcs.usda.gov).
DOI: 10.6084/m9.figshare.1157786
title: Surveillance des espèces animales invasives en France, implication des sciences participatives

description: Les introductions d’espèces invasives sont reconnues comme une des causes de perte de biodiversité notamment au niveau des îles. La mondialisation des échanges accélère les introductions d’espèces dans le milieu naturel pouvant ainsi causer des dommages, à la biodiversité, l’économique ou la santé. Ces introductions peuvent être volontaires (pêche, horticulture, etc.) ou involontaires (pathogènes, espèces importées avec du fret, etc.) et nécessite la mise en place de systèmes de surveillance adaptés à chaque territoire (îles, métropole). Au-delà de l’aspect préventif de l’introduction d’une espèce invasive dans le milieu naturel (contrôle douanier, réglementation etc.), différents outils de surveillance sont utilisés pour détecter ou suivre une espèce introduite, voir invasive dans l’environnement. Le poster présente ici trois exemples de suivis d’espèces invasives via l’utilisation des sciences participatives. D’une manière générale, ces programmes permettent de suivre des espèces (via des inventaires naturalistes, de la cartographie etc.) dans un but de connaissance et de conservation de la biodiversité, associant différents observateurs (naturalistes, grand public) et des organismes scientifiques. Un maximum d’observations est alors collecté facilement et rapidement de manière pédagogique et ludique. Les sciences participatives sont particulièrement efficaces pour détecter précocement des espèces invasives. C’est le cas du Plathelminthe de Nouvelle Guinée, Platydemus manokwari de Beauchamp, 1963, découvert récemment dans les serres du Jardin des Plantes de Caen et actuellement confiné. Elles permettent également de suivre des taxons à large distribution comme le Frelon asiatique, Vespa velutina Lepeletier, 1836 ou le plathelminthe dit « marron plat ». L’engouement des différents contributeurs pour ces sciences participatives permet d’enrichir les connaissances sur la distribution des espèces, leur écologie et leur biologie, et de définir des actions appropriées dans le but de limiter la perte de biodiversité.
DOI: 10.6084/m9.figshare.1157787.v1
title: Data from "Aspects of soil lichen biodiversity and aggregation interact to influence subsurface microbial function"

description: Data from the article: Castillo-Monroy, A. P., M. A. Bowker, P. García-Palacios & F. T. Maestre. 2014. Aspects of soil lichen biodiversity and aggregation interact to influence subsurface microbial function. Plant and Soil 386: 303-316. doi: 10.1007/s11104-014-2256-9 Abstract: Background and aims. Many previous studies have evaluated aboveground–heterotrophic belowground interactions such as plant-soil feedbacks, plant-mycorrhizal fungi associations or plant-actinorhizal symbioses. However, few studies have used biocrusts, which are specialized soil communities of autotrophic cyanobacteria, mosses, lichens and non-photosynthetic fungi and bacteria that are prevalent in drylands worldwide. These communities largely influence ecosystem functioning, and can be used as a model system for studying above-belowground interactions. In this study, we evaluated how biocrusts affect the functional diversity and biomass of microbial diversities beneath biocrusts. Methods. We performed two microcosm experiments using biocrust-forming lichens, where we manipulated their biotic attributes to test independently the effects of species richness (from two to eight species), composition, evenness (maximal and low evenness) and spatial pattern (clumped and random distribution) on the microbial catabolic profile and microbial functional diversity. Results. Microcosms with a random pattern had a higher microbial catabolic profile than those with a clumped pattern. Significant richness ´ evenness ´ pattern and richness ´ evenness interactions were found when analyzing microbial catabolic profile and biomass, respectively. Microcosms with a random pattern, intermediate number of species, and maximal evenness level had higher microbial catabolic profile. At the maximal evenness level, assemblages had higher microbial catabolic profile and microbial biomass when they contained four species. The richness ´ evenness ´ pattern interaction was the most informative predictor of variations in microbial catabolic profile. Conclusions. Our results indicate that soil microorganisms are influenced by biocrusts, just as they are influenced by plants, and highlight the importance of higher order interactions among species richness, evenness, and spatial pattern as drivers of microbial communities. The results also emphasize the importance of studying several biotic attributes simultaneously when studying biocrust-soil microorganism interactions, as in nature community properties do not exert their influence in isolation. There are two spreadsheets with data. The spreadsheet "Data_Composition_experiment" and "Data_Evenness_experiment" contains the raw microresp data (substrate utilization rates of the different carbon sources used) from the Composition and Evenness experiments, respectively. After each data spreadsheet there is a spreadshet with the associated metadata, where a description of all the variables and units can be found.
DOI: 10.6084/m9.figshare.1157774
title: Fishlabel project : Terra eco/Oceana welcome letter in french

description: Original welcome letter given to collector. It explains (in french) the aim of the study, the targeted area and the targeted species.
DOI: 10.6084/m9.figshare.1157797.v2
title: Fishlabel project : Terra eco / Oceana welcome letter (english version)

description: Terra eco / Oceana welcome letter, english version translated from the original french version. Provided with the kit to the volunteers. Explain the aim of the study and the targeted species.
DOI: 10.6084/m9.figshare.1157837.v5
title: Data for Paper: Population-wide failure to breed in the Clark’s nutcracker

description: (1) Body measurements of all Clark’s nutcrackers trapped 2009 – 2012. Data used to evaluate adult body condition index. (2) Body condition index and associated Julian date of capture and fat score. (3) Number of days I tracked each radio tagged bird (2010-2012). (4) Habitat at nest and nest building locations. (5) Habitat at occupancy survey points. (6) Average environmental conditions during breeding and nonbreeding years. (7) Habitat at daily work locations. (8) Tree species codes. For continuous measures of cone crop, snowpack and temperature, see third party sources: Whitebark pine cone crop data was obtained from a third party and can be requested from the Interagency Grizzly Bear Study Team (http://www.nrmsc.usgs.gov/research/igbst-home.htm). Snowpack and temperature data are available online from the United States Department of Agriculture Natural Resources Conservation Service Togwotee Pass SNOTEL station (http://www.wcc.nrcs.usda.gov).
DOI: 10.6084/m9.figshare.1157773
title: Fishlabel project : Terra eco/Oceana data sheet (english version)

description: English version of the data sheet provided to the collectors with the sampling kit (Terra eco/Oceana part of the project)
DOI: 10.6084/m9.figshare.1157774.v1
title: Fishlabel project : Terra eco/Oceana welcome letter in french

description: Original welcome letter given to collector. It explains (in french) the aim of the study, the targeted area and the targeted species.
DOI: 10.6084/m9.figshare.1157797.v1
title: Terra eco / Oceana welcome letter (english version)

description: Terra eco / Oceana welcome letter, english version translated from the original french version. Provided with the kit to the volunteers. Explain the aim of the study and the targeted species.
DOI: 10.6084/m9.figshare.1157837.v6
title: Data for Paper: Population-wide failure to breed in the Clark’s nutcracker

description: (1) Body measurements of all Clark’s nutcrackers trapped 2009 – 2012. Data used to evaluate adult body condition index. (2) Body condition index and associated Julian date of capture and fat score. (3) Number of days I tracked each radio tagged bird (2010-2012). (4) Habitat at nest and nest building locations. (5) Habitat at occupancy survey points. (6) Average environmental conditions during breeding and nonbreeding years. (7) Habitat at daily work locations. (8) Tree species codes. For continuous measures of cone crop, snowpack and temperature, see third party sources: Whitebark pine cone crop data was obtained from a third party and can be requested from the Interagency Grizzly Bear Study Team (http://www.nrmsc.usgs.gov/research/igbst-home.htm). Snowpack and temperature data are available online from the United States Department of Agriculture Natural Resources Conservation Service Togwotee Pass SNOTEL station (http://www.wcc.nrcs.usda.gov).
DOI: 10.6084/m9.figshare.1157773.v1
title: Fishlabel project : Terra eco/Oceana data sheet (english version)

description: English version of the data sheet provided to the collectors with the sampling kit (Terra eco/Oceana part of the project)
DOI: 10.6084/m9.figshare.1157770
title: Fishlabel project : Terra eco/Oceana data sheet (original french version)

description: Terra eco / Oceana data sheet provided to collectors with the sampling kit. English version translated from french.
DOI: 10.6084/m9.figshare.1157771
title: Fishlabel project : Terra eco/Oceana sampling instructions (english version)

description: Terra eco / Oceana sampling instructions (translated in english)
DOI: 10.6084/m9.figshare.1157772
title: Fishlabel project : Terra eco/Oceana sampliong instructions (in french)

description: Terra eco/Oceana original (french) instructions for the sampling of fish.
DOI: 10.6084/m9.figshare.1157786.v1
title: Surveillance des espèces animales invasives en France, exemple des sciences participatives

description: Les introductions d’espèces invasives sont reconnues comme une des causes de perte de biodiversité notamment au niveau des îles. La mondialisation des échanges accélère les introductions d’espèces dans le milieu naturel pouvant ainsi causer des dommages, à la biodiversité, l’économique ou la santé. Ces introductions peuvent être volontaires (pêche, horticulture, etc.) ou involontaires (pathogènes, espèces importées avec du fret, etc.) et nécessite la mise en place de systèmes de surveillance adaptés à chaque territoire (îles, métropole). Au-delà de l’aspect préventif de l’introduction d’une espèce invasive dans le milieu naturel (contrôle douanier, réglementation etc.), différents outils de surveillance sont utilisés pour détecter ou suivre une espèce introduite, voir invasive dans l’environnement. Le poster présente ici trois exemples de suivi d’espèces invasives via l’utilisation des sciences participatives. D’une manière générale, ces programmes permettent de suivre des espèces (via des inventaires naturalistes, de la cartographie etc.) dans un but de connaissance et de conservation de la biodiversité, associant différents observateurs (naturalistes, grand public) et des organismes scientifiques. Un maximum d’observations est alors collecté facilement et rapidement de manière pédagogique et ludique. Les sciences participatives sont particulièrement efficaces pour détecter précocement des espèces invasives. C’est le cas du Plathelminthe de Nouvelle Guinée, Platydemus manokwari, de Beauchamp, 1963, découvert récemment dans les serres du Jardin des Plantes de Caen et actuellement confiné. Elles permettent également de suivre des taxons à large distribution comme le Frelon asiatique, Vespa velutina Lepeletier, 1836 ou le plathelminthe dit « Marron plat ». L’engouement des différents contributeurs pour ces sciences participatives permet d’enrichir les connaissances sur la distribution des espèces, leur écologie et leur biologie, et de définir des actions appropriées dans le but de limiter la perte de biodiversité.
DOI: 10.6084/m9.figshare.1157770.v1
title: Fishlabel project : Terra eco/Oceana data sheet (original french version)

description: Terra eco / Oceana data sheet provided to collectors with the sampling kit. English version translated from french.