cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rxneq5
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myristica gigantea King"
 ]
}

 The dataset includes 70 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059224-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azydjp
title: Occurrence Download

description: A dataset containing 74691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus strobus L."
 ]
}

 The dataset includes 74691 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059143-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9h227
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neomicrocalamus andropogonifolius (Griff.) Stapleton"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059227-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mt5d36
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monophyllaea sarangica B.L.Burtt"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059225-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkf8av
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nidorella chrysocoma DC."
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059226-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzadxx
title: Occurrence Download

description: A dataset containing 813041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 813041 records from 1941 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059150-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.831493.v4
title: The colors of deception: Evolution of warning signals in Neotropical snakes (Colubroidae: Dipsadidae)

description: Files for the manuscript. This repository includes: - Poster with previous results. - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.
DOI: 10.6084/m9.figshare.831468
title: [XLS] CIRC: Clasificación Integrada de Revistas Científicas (FICHERO EXCEL)

description: La Clasificación Integrada de Revistas Científicas - CIRC (2º edición 2012) se propone como objetivo la construcción de una clasificación de revistas científicas de Ciencias Sociales y Humanas en función de su calidad integrando los productos de evaluación existentes considerados positivamente por las diferentes agencias de evaluación nacionales como CNEAI, ANECA). Se pretende asimismo que el modelo sea operativo y la clasificación resultante pueda ser integrada en sistemas de información científica para facilitar la construcción de indicadores bibliométricos destinados a la evaluación y descripción de los resultados de investigación de diversos agentes científicos como universidades, departamentos o investigadores. Por tanto Clasificación Integrada de Revistas Científicas - CIRC nace con el fin de generar un instrumento de medida común que sea utilizado por los grupos de investigación sobre bibliometría españoles facilitando realizar comparaciones y compartir información. En la actualidad ya se está empleando en diferentes instituciones como el CCHS-CSIC, la Universidad de Navarra, la Universidad de Granada, la Universidad Carlos III y la Fundación Dialnet.
DOI: 10.6084/m9.figshare.831467
title: Viable Population Survey Data for wolverines in the Sierra Nevada, California, USA

description: Dataset 1. Data behind Figure 1a. Columns indicate the population size (N), density (Density), detection probability for a single animal over a single trap-day (N1dailydetectionprob), the probability of detecting one of N wolverines in a single trap-day (RNdailydetectionprob) calculated from the equation taken from Royle and Nichols [7]: RNdailydetectionprob =1-(1- N1dailydetectionprob) N, and the approximated single trap-day probability of detecting a population of wolverines at a given density (approxdailydetectionprob) based on the equation: approxdailydetectionprob =E(d/d) where E is the known daily detection probability of a reference population at density d and d is the density of the population being surveyed. The reference population in this example had a density of 0.00122 wolverines/km2 and E=0.03, corresponding to the single trap-day detection probability for 10 individuals. When E(d/d*)&gt;1, the approximate daily detection probability was set to 1.0 since probabilities are restricted to the range 0-1. Dataset 2. Data behind Figure 1b. Data table indicates for initial population sizes (N0) from 2-25 wolverines, the extinction (probextinct) and corresponding persistence (probpersist) probabilities of 10,000 simulations in program VORTEX assuming the demographic parameters in Appendix A. Dataset 3. Data behind Figure 2. The columns show the probability of detecting at least one wolverine in a population inhabiting Sequoia-Kings Canyon National Parks at a given density (density) assuming 982 trap-days (detection982) or 1418 (detection1418), and the corresponding probability of failing to detect a viable population assuming 982 (vpnondetection982) or 1418 (vpnondetection1418) trap-days. A viable population here was defined as a population that persists at least 25 years. Dataset 4. List of photographs from baited camera stations showing animals. This dataset includes a picture ID, the species observed in the picture, camera ID, Site ID, date and time recorded for each picture and any associated notes. The picture ID is a unique alphanumeric string assigned to each photo file by the camera when the picture was taken. The camera ID is a 4-digit number assigned to each camera and corresponding to the year on dates recorded on pictures taken by the camera. The date programmed into each camera was set to the correct day and month but assigned a unique year to ensure that photographs from the camera could later be tied to the correct baited camera station. Each camera ID corresponds to a single site ID. The site ID is a two letter identification assigned to each baited camera station and corresponds to the site ID listed in Table 1. The date and time for each picture taken are the day, month, and time of day recorded by the camera on the picture file.
DOI: 10.6084/m9.figshare.831467.v1
title: Viable Population Survey Data for wolverines in the Sierra Nevada, California, USA

description: Dataset 1. Data behind Figure 1a. Columns indicate the population size (N), density (Density), detection probability for a single animal over a single trap-day (N1dailydetectionprob), the probability of detecting one of N wolverines in a single trap-day (RNdailydetectionprob) calculated from the equation taken from Royle and Nichols [7]: RNdailydetectionprob =1-(1- N1dailydetectionprob) N, and the approximated single trap-day probability of detecting a population of wolverines at a given density (approxdailydetectionprob) based on the equation: approxdailydetectionprob =E(d/d) where E is the known daily detection probability of a reference population at density d and d is the density of the population being surveyed. The reference population in this example had a density of 0.00122 wolverines/km2 and E=0.03, corresponding to the single trap-day detection probability for 10 individuals. When E(d/d*)&gt;1, the approximate daily detection probability was set to 1.0 since probabilities are restricted to the range 0-1. Dataset 2. Data behind Figure 1b. Data table indicates for initial population sizes (N0) from 2-25 wolverines, the extinction (probextinct) and corresponding persistence (probpersist) probabilities of 10,000 simulations in program VORTEX assuming the demographic parameters in Appendix A. Dataset 3. Data behind Figure 2. The columns show the probability of detecting at least one wolverine in a population inhabiting Sequoia-Kings Canyon National Parks at a given density (density) assuming 982 trap-days (detection982) or 1418 (detection1418), and the corresponding probability of failing to detect a viable population assuming 982 (vpnondetection982) or 1418 (vpnondetection1418) trap-days. A viable population here was defined as a population that persists at least 25 years. Dataset 4. List of photographs from baited camera stations showing animals. This dataset includes a picture ID, the species observed in the picture, camera ID, Site ID, date and time recorded for each picture and any associated notes. The picture ID is a unique alphanumeric string assigned to each photo file by the camera when the picture was taken. The camera ID is a 4-digit number assigned to each camera and corresponding to the year on dates recorded on pictures taken by the camera. The date programmed into each camera was set to the correct day and month but assigned a unique year to ensure that photographs from the camera could later be tied to the correct baited camera station. Each camera ID corresponds to a single site ID. The site ID is a two letter identification assigned to each baited camera station and corresponds to the site ID listed in Table 1. The date and time for each picture taken are the day, month, and time of day recorded by the camera on the picture file.
DOI: 10.6084/m9.figshare.831468.v1
title: Clasificación Integrada de Revistas Científicas

description: La Clasificación Integrada de Revistas Científicas - CIRC (2º edición 2012) se propone como objetivo la construcción de una clasificación de revistas científicas de Ciencias Sociales y Humanas en función de su calidad integrando los productos de evaluación existentes considerados positivamente por las diferentes agencias de evaluación nacionales como CNEAI, ANECA). Se pretende asimismo que el modelo sea operativo y la clasificación resultante pueda ser integrada en sistemas de información científica para facilitar la construcción de indicadores bibliométricos destinados a la evaluación y descripción de los resultados de investigación de diversos agentes científicos como universidades, departamentos o investigadores. Por tanto Clasificación Integrada de Revistas Científicas - CIRC nace con el fin de generar un instrumento de medida común que sea utilizado por los grupos de investigación sobre bibliometría españoles facilitando realizar comparaciones y compartir información. En la actualidad ya se está empleando en diferentes instituciones como el CCHS-CSIC, la Universidad de Navarra, la Universidad de Granada, la Universidad Carlos III y la Fundación Dialnet.
DOI: 10.6084/m9.figshare.831493.v5
title: The colors of deception: Evolution of warning signals in Neotropical snakes

description: <strong>IMPORTANT:</strong> The poster 'Caetano_EVOWIBO_2014.pdf' show results prior to simulations after article by Rabosky and Goldberg (2015) showing the bias in model selection associated to the BISSE method. For updated results please refer to slides presented at the <em>2015 Evolution Meeting in Brazil</em>: 'Caetano_talk_Evol2015.pdf'. <strong>This repository includes:</strong> - Poster with previous results. - Slides from talk at the Evolution meeting 2015. - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.
DOI: 10.6084/m9.figshare.831465
title: EUROHYDROS H2 isotope results: mixing ratio and deuterium content time series at six stations

description: These are the H2 mixing ratio and deuterium content data used in: Batenburg, A. M., Walter, S., Pieterse, G., Levin, I., Schmidt, M., Jordan, A., Hammer, S., Yver, C., and Röckmann, T.: Temporal and spatial variability of the stable isotopic composition of atmospheric molecular hydrogen: observations at six EUROHYDROS stations, Atmos. Chem. Phys., 11, 6985-6999, doi:10.5194/acp-11-6985-2011, 2011,http://www.atmos-chem-phys.net/11/6985/2011/acp-11-6985-2011.html Please cite this ACP article when using these data in a publication, and kindly notify me. In the CSV files: - Mixing ratios are reduction gas analyzer results obtained at UHEI-IUP, MPI-BGC and LSCE. - dD(H2) data are obtained from analysis with the GC-IRMS system at the IMAU-APCG lab of Utrecht University. The estimated standard deviation/error in a single measurement is 4.5 permil, based on measurements of a laboratory working tank. - Outlier selection was based on visual inspection of the time series. - The "biased" or "downshifted" flag indicates dD measurements performed in a period where the dD results seemed to have a positive bias of approximately 9.5 permil. These samples were shown in the time series figure with the 9.5 permil subtracted, but excluded from the following quantitative analyses. - The last column indicates the number of succesfull repeat measurements of dD. More information can be found in the published, open-access article. Please do not hesitate to contact me if you have any questions.
DOI: 10.6084/m9.figshare.831493.v6
title: The colors of deception: Evolution of warning signals in Neotropical snakes

description: <strong>IMPORTANT:</strong> The poster 'Caetano_EVOWIBO_2014.pdf' show results prior to simulations after article by Rabosky and Goldberg (2015) showing the bias in model selection associated to the BISSE method. For updated results please refer to slides presented at the <em>2015 Evolution Meeting in Brazil</em>: 'Caetano_talk_Evol2015.pdf'. <strong>This repository includes:</strong> - Poster with previous results. - Slides from talk at the Evolution meeting 2015. - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.
DOI: 10.6084/m9.figshare.831450.v1
title: Gaussian Job Archive for C11H10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.831443
title: ESK hourly means

description: Hourly mean values recorded at Eskdalemuir geomagnetic observatory.
DOI: 10.6084/m9.figshare.831468.v2
title: CIR: Clasificación Integrada de Revistas Científicas (FICHERO EXCEL)

description: La Clasificación Integrada de Revistas Científicas - CIRC (2º edición 2012) se propone como objetivo la construcción de una clasificación de revistas científicas de Ciencias Sociales y Humanas en función de su calidad integrando los productos de evaluación existentes considerados positivamente por las diferentes agencias de evaluación nacionales como CNEAI, ANECA). Se pretende asimismo que el modelo sea operativo y la clasificación resultante pueda ser integrada en sistemas de información científica para facilitar la construcción de indicadores bibliométricos destinados a la evaluación y descripción de los resultados de investigación de diversos agentes científicos como universidades, departamentos o investigadores. Por tanto Clasificación Integrada de Revistas Científicas - CIRC nace con el fin de generar un instrumento de medida común que sea utilizado por los grupos de investigación sobre bibliometría españoles facilitando realizar comparaciones y compartir información. En la actualidad ya se está empleando en diferentes instituciones como el CCHS-CSIC, la Universidad de Navarra, la Universidad de Granada, la Universidad Carlos III y la Fundación Dialnet.
DOI: 10.6084/m9.figshare.831493.v7
title: data and files for: "Have coral snake mimics diversified more than non-mimics?"

description: Data and files for <b>"Have coral snake mimics diversified more than non-mimics?"</b> Manuscript submitted to<strong> <i>Evolution</i>.<br></strong><strong>IMPORTANT:</strong> The poster 'Caetano_EVOWIBO_2014.pdf' show results prior to simulations after article by Rabosky and Goldberg (2015) showing the bias in model selection associated to the BISSE method. The final results are different. <strong>This repository includes:</strong> - Poster with previous results. - Slides from talk at the Evolution meeting 2015. - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.
DOI: 10.6084/m9.figshare.831442
title: ESK 1999

description: Hourly mean values recorded at Eskdalemuir observatory in 1999
DOI: 10.6084/m9.figshare.831439
title: Gaussian Job Archive for C14H12Cl6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.831468.v3
title: [XLS] CIRC: Clasificación Integrada de Revistas Científicas (FICHERO EXCEL)

description: La Clasificación Integrada de Revistas Científicas - CIRC (2º edición 2012) se propone como objetivo la construcción de una clasificación de revistas científicas de Ciencias Sociales y Humanas en función de su calidad integrando los productos de evaluación existentes considerados positivamente por las diferentes agencias de evaluación nacionales como CNEAI, ANECA). Se pretende asimismo que el modelo sea operativo y la clasificación resultante pueda ser integrada en sistemas de información científica para facilitar la construcción de indicadores bibliométricos destinados a la evaluación y descripción de los resultados de investigación de diversos agentes científicos como universidades, departamentos o investigadores. Por tanto Clasificación Integrada de Revistas Científicas - CIRC nace con el fin de generar un instrumento de medida común que sea utilizado por los grupos de investigación sobre bibliometría españoles facilitando realizar comparaciones y compartir información. En la actualidad ya se está empleando en diferentes instituciones como el CCHS-CSIC, la Universidad de Navarra, la Universidad de Granada, la Universidad Carlos III y la Fundación Dialnet.
DOI: 10.6084/m9.figshare.831493.v8
title: data and files for: "Have coral snake mimics diversified more than non-mimics?"

description: Data and files for <b>"Have coral snake mimics diversified more than non-mimics?"</b><strong><br></strong><br><strong>This repository includes:</strong> - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.
DOI: 10.6084/m9.figshare.831439.v1
title: Gaussian Job Archive for C14H12Cl6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.831443.v1
title: ESK hourly means

description: Hourly mean values recorded at Eskdalemuir geomagnetic observatory.
DOI: 10.6084/m9.figshare.831468.v5
title: [XLS] CIRC: Clasificación Integrada de Revistas Científicas (FICHERO EXCEL)

description: La Clasificación Integrada de Revistas Científicas - CIRC (2º edición 2012) se propone como objetivo la construcción de una clasificación de revistas científicas de Ciencias Sociales y Humanas en función de su calidad integrando los productos de evaluación existentes considerados positivamente por las diferentes agencias de evaluación nacionales como CNEAI, ANECA). Se pretende asimismo que el modelo sea operativo y la clasificación resultante pueda ser integrada en sistemas de información científica para facilitar la construcción de indicadores bibliométricos destinados a la evaluación y descripción de los resultados de investigación de diversos agentes científicos como universidades, departamentos o investigadores. Por tanto Clasificación Integrada de Revistas Científicas - CIRC nace con el fin de generar un instrumento de medida común que sea utilizado por los grupos de investigación sobre bibliometría españoles facilitando realizar comparaciones y compartir información. En la actualidad ya se está empleando en diferentes instituciones como el CCHS-CSIC, la Universidad de Navarra, la Universidad de Granada, la Universidad Carlos III y la Fundación Dialnet.
DOI: 10.6084/m9.figshare.831493.v10
title: data and files for: "Have coral snake mimics diversified more than non-mimics?"

description: Data and files for <b>"Have coral snake mimics diversified more than non-mimics?"</b><strong><br></strong><br><strong>This repository includes:</strong> - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.
DOI: 10.6084/m9.figshare.831432
title: EBgrowth - Determining individual variation in growth and its implication for life history and population processes using the Empirical Bayes method

description: I report the flow of analyses for reproducing the computations and figures related to the manuscript "Determining individual variation in growth and its implication for life history and population processes using the Empirical Bayes method" currently under review at PLoS Computational Biology. Please start by reading the README.txt file. All files necessary to reproduce the analyses are then in the EBgrowth.zip file. m_grow3_rho.tpl = tpl file for admb program with correlation between k and linf Models have been fitted using the free software ADMB ver 11 (http://admb-project.org/) in combination with R (http://cran.r-project.org/) Please drop me a line at simon.vincenz@gmail.com for feedback and comments.
DOI: 10.6084/m9.figshare.831443.v3
title: ESK hourly means

description: Hourly mean values recorded at Eskdalemuir geomagnetic observatory.
DOI: 10.6084/m9.figshare.831468.v4
title: [XLS] CIRC: Clasificación Integrada de Revistas Científicas (FICHERO EXCEL)

description: La Clasificación Integrada de Revistas Científicas - CIRC (2º edición 2012) se propone como objetivo la construcción de una clasificación de revistas científicas de Ciencias Sociales y Humanas en función de su calidad integrando los productos de evaluación existentes considerados positivamente por las diferentes agencias de evaluación nacionales como CNEAI, ANECA). Se pretende asimismo que el modelo sea operativo y la clasificación resultante pueda ser integrada en sistemas de información científica para facilitar la construcción de indicadores bibliométricos destinados a la evaluación y descripción de los resultados de investigación de diversos agentes científicos como universidades, departamentos o investigadores. Por tanto Clasificación Integrada de Revistas Científicas - CIRC nace con el fin de generar un instrumento de medida común que sea utilizado por los grupos de investigación sobre bibliometría españoles facilitando realizar comparaciones y compartir información. En la actualidad ya se está empleando en diferentes instituciones como el CCHS-CSIC, la Universidad de Navarra, la Universidad de Granada, la Universidad Carlos III y la Fundación Dialnet.
DOI: 10.6084/m9.figshare.831493.v9
title: data and files for: "Have coral snake mimics diversified more than non-mimics?"

description: Data and files for <b>"Have coral snake mimics diversified more than non-mimics?"</b><strong><br></strong><br><strong>This repository includes:</strong> - RData file with results of the BiSSE mcmc. - RData files with results from simulations. - Garli alignment and configuration file. - BEAST .xml files.