cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.899808.v2
title: ***Outdated, v1*** An IDL routine to estimate the mass of low-mass stars and brown dwarfs

description: ***This fileset is outdated. Please refer to the last link below for an up-to-date-version*** This IDL routine uses the 2MASS and WISE J, H, Ks, W1 and W2 apparent magnitudes and the distance of a given object, along with an estimated age range, to determine its most probable mass range using AMES-COND isochrones (Baraffe et al. (2003) in combination with CIFIST2011 BT-SETTL atmosphere models (Allard et al. 2013, Rajpurohit et al. 2013) in a likelihood analysis. Errors on the distance and photometry, when input, are propagated to the estimated mass range. This routine was used to estimate the masses of candidate members in Table 3 of Gagné et al. (2014). **IMPORTANT NOTE : To be able using this routine, you will have to download the IDL save file named "baraffe_interpol_input.sav" and modify the first line of the "baraffe_interpol.pro" routine to your local path that leads to the file.** See the main file "banyan_mass.pro" for more information on how to use this routine. Please cite Gagné et al. 2014, Baraffe et al. 2003, Allard et al. 2013 and Rajpurohit et al. 2013 (see links) if you use this procedure.
DOI: 10.6084/m9.figshare.899803
title: Distance and RV distributions for nearby, young moving groups

description: These IDL save files contain the RV and distance probability density functions for the spatial and kinematic models of nearby, young moving groups as defined in Gagné et al. 2014. They can be used to generate Fig.1 in this reference, with the following IDL commands : IDL&gt; restore,'priors_vec_vrad_-35.00_35.00x500_dist_0.10_200.00x500_ell.sav',/verbose<br>% RESTORE: Restored variable: VRVEC.<br>% RESTORE: Restored variable: DVEC.<br>IDL&gt; restore,'priors_abdora_vrad_-35.00_35.00x500_dist_0.10_200.00x500_ell.sav',/verbose<br>% RESTORE: Restored variable: VRAD_WEIGHT.<br>% RESTORE: Restored variable: DIST_WEIGHT. IDL&gt; plot, vrvec, vrad_weight<br>IDL&gt; plot, dvec, dist_weight Please cite Gagné et al. 2014 (see link) when using those.
DOI: 10.6084/m9.figshare.899808.v1
title: An IDL routine to estimate the mass of low-mass stars and brown dwarfs

description: ***This fileset is outdated. Please refer to the last link below for an up-to-date-version*** This IDL routine uses the 2MASS and WISE J, H, Ks, W1 and W2 apparent magnitudes and the distance of a given object, along with an estimated age range, to determine its most probable mass range using AMES-COND isochrones (Baraffe et al. (2003) in combination with CIFIST2011 BT-SETTL atmosphere models (Allard et al. 2013, Rajpurohit et al. 2013) in a likelihood analysis. Errors on the distance and photometry, when input, are propagated to the estimated mass range. This routine was used to estimate the masses of candidate members in Table 3 of Gagné et al. (2014). **IMPORTANT NOTE : To be able using this routine, you will have to download the IDL save file named "baraffe_interpol_input.sav" and modify the first line of the "baraffe_interpol.pro" routine to your local path that leads to the file.** See the main file "banyan_mass.pro" for more information on how to use this routine. Please cite Gagné et al. 2014, Baraffe et al. 2003, Allard et al. 2013 and Rajpurohit et al. 2013 (see links) if you use this procedure.
DOI: 10.6084/m9.figshare.899802
title: List of bona fide members of nearby, young moving groups

description: This is a list of bona fide members to nearby, young associations, along with kinematic, 2MASS and WISE information. Please cite Gagné et al. 2014 (see link) when using these tables. Edit August 23, 2014 : I added a small IDL package to read the .csv tables into an IDL structure (read_csv_gagne2014_IDL_package.zip). Feel free to use it with this package. The syntax to use this routine would look like this : IDL&gt; struc = read_csv_gagne2014('/Somepath/Argus__Argus.csv') And then you can view the structure content of the bonafide member #i with : IDL&gt; help,struc[i] Or, for example, view all spectral types with : IDL&gt; print,struc.spt
DOI: 10.6084/m9.figshare.899803.v1
title: Distance and RV distributions for nearby, young moving groups

description: These IDL save files contain the RV and distance probability density functions for the spatial and kinematic models of nearby, young moving groups as defined in Gagné et al. 2014. They can be used to generate Fig.1 in this reference, with the following IDL commands : IDL&gt; restore,'priors_vec_vrad_-35.00_35.00x500_dist_0.10_200.00x500_ell.sav',/verbose<br>% RESTORE: Restored variable: VRVEC.<br>% RESTORE: Restored variable: DVEC.<br>IDL&gt; restore,'priors_abdora_vrad_-35.00_35.00x500_dist_0.10_200.00x500_ell.sav',/verbose<br>% RESTORE: Restored variable: VRAD_WEIGHT.<br>% RESTORE: Restored variable: DIST_WEIGHT. IDL&gt; plot, vrvec, vrad_weight<br>IDL&gt; plot, dvec, dist_weight Please cite Gagné et al. 2014 (see link) when using those.
DOI: 10.6084/m9.figshare.899804.v2
title: Electronic version of Gagné et al. 2014 Table 5

description: This table is an electronic version of Table 5 in Gagné et al. (2014), describing the statistical predictions for radial velocity and distance of known, young or red &gt; M5 objects depending on the moving group they belong to. Please refer to this paper when using it (see link).
DOI: 10.6084/m9.figshare.899804.v1
title: Electronic version of Gagné et al. 2014 Table 5

description: This table is an electronic version of Table 5 in Gagné et al. (2014), describing the statistical predictions for radial velocity and distance of known, young or red &gt; M5 objects depending on the moving group they belong to. Please refer to this paper when using it (see link).
DOI: 10.6084/m9.figshare.899802.v1
title: List of bona fide members to nearby, young moving groups

description: *This table currently contains mismatches with BANYAN II. Hence, it will soon be replaced with a corrected version.* This is a list of bona fide members to nearby, young associations, along with kinematic, 2MASS and WISE information. Please cite Gagné et al. 2014 (see link) when using these tables.
DOI: 10.6084/m9.figshare.899802.v2
title: List of bona fide members to nearby, young moving groups

description: This is a list of bona fide members to nearby, young associations, along with kinematic, 2MASS and WISE information. Please cite Gagné et al. 2014 (see link) when using these tables.
DOI: 10.6084/m9.figshare.899802.v4
title: List of bona fide members of nearby, young moving groups

description: This is a list of bona fide members to nearby, young associations, along with kinematic, 2MASS and WISE information. Please cite Gagné et al. 2014 (see link) when using these tables. Edit August 23, 2014 : I added a small IDL package to read the .csv tables into an IDL structure (read_csv_gagne2014_IDL_package.zip). Feel free to use it with this package. The syntax to use this routine would look like this : IDL&gt; struc = read_csv_gagne2014('/Somepath/Argus__Argus.csv') And then you can view the structure content of the bonafide member #i with : IDL&gt; help,struc[i] Or, for example, view all spectral types with : IDL&gt; print,struc.spt
DOI: 10.6084/m9.figshare.899802.v3
title: List of bona fide members of nearby, young moving groups

description: This is a list of bona fide members to nearby, young associations, along with kinematic, 2MASS and WISE information. Please cite Gagné et al. 2014 (see link) when using these tables.
DOI: 10.6084/m9.figshare.899765
title: Reasons for film MPAA ratings of PG or higher, 1991-2013

description: This file contains a list of all MPAA rated films (PG or higher) and the reasons for those ratings from 1991 through 2013. This file does not include G rated films. There are 7 columns: Film: the film name Year: the year the film was released MPAA_Rating: the rating the MPAA assigned the film Violence: True or False, indicating that violence was stated as a reason for the rating Sex: True or False, indicating that sex was stated as a reason for the rating Drugs: True or False, indicating that drugs were stated as a reason for the rating Language: True or False, indicating that strong language was stated as a reason for the rating This data was processed from the raw MPAA rating data available via IMDB: www.imdb.com/interfaces
DOI: 10.6084/m9.figshare.899768
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899768.v1
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899763.v1
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899753
title: IDL routines to compute XYZ and UVW coordinates

description: These IDL routines can be used to transform ra, dec, distance and the error on distance for any number of stars to XYZ coordinates and their errors, as well as ra, dec, distance, proper motion and radial velocity to UVW coordinates and their errors. This package includes a modification on the glactc.pro astrolib routine that is significantly faster with large sets of objects (see individual .pro files for more details). Please refer to Gagné et al. 2014 (see link) when using these routines.
DOI: 10.6084/m9.figshare.899761
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899762.v1
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899752
title: IDL routine to fit 3D ellipsoids that are free to rotate

description: Takes a set of cartesian data points as input, fits an free to rotate 3D ellipsoid, and returns the associated parameters (see fit_3d_ellipsoid.pro for more details). Please refer to Gagné et al. 2014 (see link) when using these routines. Since this routine uses krEllipsoidFit written by Ronn Kling and Jerry Lefever, please also give them credit and refer to the website www.rlkling.com
DOI: 10.6084/m9.figshare.899759.v1
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899760.v1
title: Gaussian Job Archive for C8H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.899751
title: IDL Routine to rotate X, Y, Z coordinates

description: Takes a set of (x,y,z) coordinates (can be arrays of the same length), as well as a rotation matrix OR a set of 3 euler angles, then rotates the coordinates (see coord_rot.pro for more details). Please refer to Gagné et al. 2014 (see link) when using these routines.
DOI: 10.6084/m9.figshare.899742
title: DNA character matrix

description: Data set used for publication.
DOI: 10.6084/m9.figshare.899743
title: Per-Site Transition Rates

description: Per-site transition rates for sequences.
DOI: 10.6084/m9.figshare.899740
title: Simulations without all tips sampled

description: DNA sequence data simulated from tree with key taxon missing.
DOI: 10.6084/m9.figshare.899741
title: Simulated data set containing all tips

description: DNA sequence data simulated from tree with all sampled tips.
DOI: 10.6084/m9.figshare.899743.v1
title: Per-Site Transition Rates

description: Per-site transition rates for sequences.
DOI: 10.6084/m9.figshare.899740.v1
title: Simulations without all tips sampled

description: DNA sequence data simulated from tree with key taxon missing.
DOI: 10.6084/m9.figshare.899741.v1
title: Simulated data set containing all tips

description: DNA sequence data simulated from tree with all sampled tips.
DOI: 10.6084/m9.figshare.899742.v1
title: DNA character matrix

description: Data set used for publication.
DOI: 10.6084/m9.figshare.899723
title: SUPPLEMENTARY MATERIAL: Patterns of drug-drug co-occurrence in Electronic Health Records in patients with epilepsy

description: Supplementary material for the ISMB 2014 submission
DOI: 10.6084/m9.figshare.899218
title: Restroom Microbiome Succession Study

description: The indoor environment is the dominant ecosystem for the majority of industrialized humanity and is unlike any biome previously experienced by our species. Bacteria commonly associated with our bodies dominate the Built Environment (BE). Using a unique ecosystem model - a public restroom - we show that surface-associated microbial communities follow a predictable ecological succession, from a community dominated by fecal microbiota to one dominated by skin and ‘outdoor’ microbiota. We analyzed microbial communities following decontamination of floors, toilet seats, and soap dispensers in 4 public restrooms hourly, daily, and weekly. Only toilet seat communities showed differentiation based on gender, with Lactobacillus dominating female seats and Roseburia and Blautia more prevalent on male seats. On floors, a late successional community developed quickly, and showed remarkably stability over weeks to months. Despite late-successional dominance by skin- and outdoor-associated microbiota, the core microbiome was composed almost exclusively of human gut bacteria, suggesting that a relatively homogenous pool of abundant fecal microbes is continuously dispersed to all floor surfaces. OTU abundances were not significantly correlated with measured physical parameters. Together, these data indicate that human-associated microbes dominate restroom surfaces and follow neutral community assembly. We suggest that BE surface environments are microbial ‘deserts’, where resources are scarce and persistence depends upon dormancy or continuous dispersal, and we show that overzealous cleaning regimes in public restrooms lead to a transient dominance of human fecal microbiota, while normal soap and water cleaning results in a stable community dominated by skin-associated microbes.
DOI: 10.6084/m9.figshare.899723.v2
title: SUPPLEMENTARY MATERIAL: Patterns of drug-drug co-occurrence in Electronic Health Records in patients with epilepsy

description: Supplementary material for the ISMB 2014 submission
DOI: 10.6084/m9.figshare.899722.v1
title: Low status groups show in-group favoritism to compensate for their low status and to compete for higher status.

description: The present research investigated the intergroup allocation behavior of members of low-status groups. In two studies where status relations were either relatively illegitimate (Study 1, <em>N</em> = 139) or legitimate (Study 2, <em>N</em> = 114), undergraduate students completed a minimal group resource allocation task that took into account the intergroup status hierarchy. In both studies, members of low-status groups showed two forms of in-group favoritism. They selected resource allocation choices that (a) compensated for their low status and led to intergroup fairness (<em>compensatory favoritism</em>) and (b) competed with the out-group for status and led to positive distinctiveness for the in-group (<em>competitive favoritism</em>). These results suggest that members of low-status groups use in-group favoritism to make their group (a) <em>as good as</em> the high-status out-group and (b) <em>better than</em> the high-status out-group. The findings support the idea that in-group favoritism can serve different functions.
DOI: 10.6084/m9.figshare.899723.v1
title: SUPPLEMENTARY MATERIAL: Patterns of drug-drug co-occurrence in Electronic Health Records in patients with epilepsy

description: Supplementary material for the ISMB 2014 submission
DOI: 10.6084/m9.figshare.899215
title: Forward Reads - File F - Second Sequencing Run

description: concatenate with other forward read files from second run
DOI: 10.6084/m9.figshare.899216
title: Forward Reads - File D - Second Sequencing Run

description: concatenate with other forward reads from second run
DOI: 10.6084/m9.figshare.899217
title: Forward Reads - File E - Second Sequencing Run

description: concatenate with ther forward read files from second run.
DOI: 10.6084/m9.figshare.899218.v1
title: Restroom Microbiome Succession Study

description: The indoor environment is the dominant ecosystem for the majority of industrialized humanity and is unlike any biome previously experienced by our species. Bacteria commonly associated with our bodies dominate the Built Environment (BE). Using a unique ecosystem model - a public restroom - we show that surface-associated microbial communities follow a predictable ecological succession, from a community dominated by fecal microbiota to one dominated by skin and ‘outdoor’ microbiota. We analyzed microbial communities following decontamination of floors, toilet seats, and soap dispensers in 4 public restrooms hourly, daily, and weekly. Only toilet seat communities showed differentiation based on gender, with Lactobacillus dominating female seats and Roseburia and Blautia more prevalent on male seats. On floors, a late successional community developed quickly, and showed remarkably stability over weeks to months. Despite late-successional dominance by skin- and outdoor-associated microbiota, the core microbiome was composed almost exclusively of human gut bacteria, suggesting that a relatively homogenous pool of abundant fecal microbes is continuously dispersed to all floor surfaces. OTU abundances were not significantly correlated with measured physical parameters. Together, these data indicate that human-associated microbes dominate restroom surfaces and follow neutral community assembly. We suggest that BE surface environments are microbial ‘deserts’, where resources are scarce and persistence depends upon dormancy or continuous dispersal, and we show that overzealous cleaning regimes in public restrooms lead to a transient dominance of human fecal microbiota, while normal soap and water cleaning results in a stable community dominated by skin-associated microbes.
DOI: 10.6084/m9.figshare.899214
title: Forward Reads - File B - Second Sequency Run

description: concatenate with other forward read files from second run
DOI: 10.6084/m9.figshare.899216.v1
title: Forward Reads - File D - Second Sequencing Run

description: concatenate with other forward reads from second run
DOI: 10.6084/m9.figshare.899212
title: Forward Reads - File A - Second Sequencing Run

description: Forward reads from second sequencing run. Split into a-f files. Concatenate before analysis.
DOI: 10.6084/m9.figshare.899213
title: Forward Reads - File C - Second Sequencing Run

description: concatenate with other forward read files from second sequencing run prior to analysis.
DOI: 10.6084/m9.figshare.899214.v1
title: Forward Reads - File B - Second Sequency Run

description: concatenate with other forward read files from second run
DOI: 10.6084/m9.figshare.899210
title: Grouper do not control invasive lionfish in Caribbean reefs

description: Master data used in the manuscript summarized per site (category level, means or sums). Workflow and the R Code for the analysis is found as supplemental information in the manuscript. To run the R Code you will need the raw data. Please contact the authors if you are interested in using the raw data. A link to the pre-printed manuscript is here (https://peerj.com/preprints/139/). Please check soon for the full link of the peer-reviewed article.
DOI: 10.6084/m9.figshare.899213.v1
title: Forward Reads - File C - Second Sequencing Run

description: concatenate with other forward read files from second sequencing run prior to analysis.
DOI: 10.6084/m9.figshare.899218.v2
title: Restroom Microbiome Succession Study

description: The indoor environment is the dominant ecosystem for the majority of industrialized humanity and is unlike any biome previously experienced by our species. Bacteria commonly associated with our bodies dominate the Built Environment (BE). Using a unique ecosystem model - a public restroom - we show that surface-associated microbial communities follow a predictable ecological succession, from a community dominated by fecal microbiota to one dominated by skin and ‘outdoor’ microbiota. We analyzed microbial communities following decontamination of floors, toilet seats, and soap dispensers in 4 public restrooms hourly, daily, and weekly. Only toilet seat communities showed differentiation based on gender, with Lactobacillus dominating female seats and Roseburia and Blautia more prevalent on male seats. On floors, a late successional community developed quickly, and showed remarkably stability over weeks to months. Despite late-successional dominance by skin- and outdoor-associated microbiota, the core microbiome was composed almost exclusively of human gut bacteria, suggesting that a relatively homogenous pool of abundant fecal microbes is continuously dispersed to all floor surfaces. OTU abundances were not significantly correlated with measured physical parameters. Together, these data indicate that human-associated microbes dominate restroom surfaces and follow neutral community assembly. We suggest that BE surface environments are microbial ‘deserts’, where resources are scarce and persistence depends upon dormancy or continuous dispersal, and we show that overzealous cleaning regimes in public restrooms lead to a transient dominance of human fecal microbiota, while normal soap and water cleaning results in a stable community dominated by skin-associated microbes.
DOI: 10.6084/m9.figshare.899212.v1
title: Forward Reads - File A - Second Sequencing Run

description: Forward reads from second sequencing run. Split into a-f files. Concatenate before analysis.
DOI: 10.6084/m9.figshare.899205
title: Index Reads - File A - Second Sequencing Run

description: Raw sequence files were split up due to upload limits. This file is in two parts (a and b). Concatenate these files before analysis.
DOI: 10.6084/m9.figshare.899218.v3
title: Restroom Microbiome Succession Study

description: The indoor environment is the dominant ecosystem for the majority of industrialized humanity and is unlike any biome previously experienced by our species. Bacteria commonly associated with our bodies dominate the Built Environment (BE). Using a unique ecosystem model - a public restroom - we show that surface-associated microbial communities follow a predictable ecological succession, from a community dominated by fecal microbiota to one dominated by skin and ‘outdoor’ microbiota. We analyzed microbial communities following decontamination of floors, toilet seats, and soap dispensers in 4 public restrooms hourly, daily, and weekly. Only toilet seat communities showed differentiation based on gender, with Lactobacillus dominating female seats and Roseburia and Blautia more prevalent on male seats. On floors, a late successional community developed quickly, and showed remarkably stability over weeks to months. Despite late-successional dominance by skin- and outdoor-associated microbiota, the core microbiome was composed almost exclusively of human gut bacteria, suggesting that a relatively homogenous pool of abundant fecal microbes is continuously dispersed to all floor surfaces. OTU abundances were not significantly correlated with measured physical parameters. Together, these data indicate that human-associated microbes dominate restroom surfaces and follow neutral community assembly. We suggest that BE surface environments are microbial ‘deserts’, where resources are scarce and persistence depends upon dormancy or continuous dispersal, and we show that overzealous cleaning regimes in public restrooms lead to a transient dominance of human fecal microbiota, while normal soap and water cleaning results in a stable community dominated by skin-associated microbes.
DOI: 10.6084/m9.figshare.899204
title: Index Reads - File B - Second Sequencing Run

description: Raw sequence files were split up due to upload limits. This file is in two parts (a and b). Concatenate these files before analysis.