cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8980547
title: Google Earth Engine code

description: Google Earth Engine used to compute the NDVI statistics added to Globe-LFMC. The input of the program is a point shapefile (“samplePlotsShapefile”, extensions .cpg, .dbf, .prj, .shp, .shx) representing the location of each Globe-LFMC site. This shapefile is available as additional data in figshare (see Code Availability). To run this GEE code the shapefile needs to be uploaded into the GEE Assets and, then, imported into the Code Editor with the name “plots” (without quotation marks).Google Earth Engine code<br><b>Change Notice - GEE_script_for_GlobeLFMC_ndvi_stats_v2.js</b>The following acknowledgements have been added at the beginning of the code: “Portions of the following code are modifications based on work created and shared by Google in Earth Engine Data Catalog and Earth Engine Guides under the Apache 2.0 License. https://www.apache.org/licenses/LICENSE-2.0”<br><br><br><b>Change Notice - samplePlotsShapefile_v2</b><br>The shapefile describing the database sites has been corrected and updated with the correct coordinates.<br>
DOI: 10.6084/m9.figshare.8980559.v2
title: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

description: Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the United States of America. The database contains 161,717 individual records based on in situ destructive samples used to measure LFMC, representing the amount of water in plant leaves per unit of dry matter. The primary goal of the database is to calibrate and validate remote sensing algorithms used to predict LFMC. However, this database is also relevant for the calibration and validation of dynamic global vegetation models, eco-physiological models of plant water stress as well as understanding the physiological drivers of spatiotemporal variation in LFMC at local, regional and global scales. Globe-LFMC should be useful for studying LFMC trends in response to environmental change and LFMC influence on wildfire occurrence, wildfire behavior, and overall vegetation health.<br><b>Change Notice - Globe-LFCM-v2.xlsx </b><b>:</b>Some site’s coordinates from Spain and California were affected by a wrong transformation between coordinate reference systems.<br>The original Spanish UTM coordinates were mistakenly considered to be in the geodetic datum WGS84 instead of the ED50 datum. Thus, those original coordinates have been transformed again, using the correct datum.The original Californian UTM coordinates were mistakenly considered to be in the geodetic datum WGS84 instead of the NAD27 datum. Thus, those original coordinates have been transformed again, using the correct datum.<br>As a consequence of these changes, the columns “Land Cover”, “NDVI CV min”, “NDVI CV max”, “NDVI SD min”, “NDVI SD max” have been corrected and updated.
DOI: 10.6084/m9.figshare.8980538
title: References and changes

description: References and changes to the original databases
DOI: 10.6084/m9.figshare.8980559.v1
title: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

description: Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the United States of America. The database contains 161,717 individual records based on in situ destructive samples used to measure LFMC, representing the amount of water in plant leaves per unit of dry matter. The primary goal of the database is to calibrate and validate remote sensing algorithms used to predict LFMC. However, this database is also relevant for the calibration and validation of dynamic global vegetation models, eco-physiological models of plant water stress as well as understanding the physiological drivers of spatiotemporal variation in LFMC at local, regional and global scales. Globe-LFMC should be useful for studying LFMC trends in response to environmental change and LFMC influence on wildfire occurrence, wildfire behavior, and overall vegetation health.
DOI: 10.6084/m9.figshare.8980538.v1
title: References and changes

description: References and changes to the original databases
DOI: 10.6084/m9.figshare.8980547.v1
title: Google Earth Engine code

description: Google Earth Engine used to compute the NDVI statistics added to Globe-LFMC. The input of the program is a point shapefile (“samplePlotsShapefile”, extensions .cpg, .dbf, .prj, .shp, .shx) representing the location of each Globe-LFMC site. This shapefile is available as additional data in figshare (see Code Availability). To run this GEE code the shapefile needs to be uploaded into the GEE Assets and, then, imported into the Code Editor with the name “plots” (without quotation marks).Google Earth Engine code
DOI: 10.6084/m9.figshare.8980499
title: Seismic data and velocity model of “Heterogeneous modification and reactivation of a craton margin beneath the Korean Peninsula from teleseismic travel time tomography”

description: This file contains the seismic data used in our study and the final velocity models obtained by tomographic inversion. Please refer to README.txt for a general description of individual files.
DOI: 10.6084/m9.figshare.8980499.v1
title: Data and models of "Heterogeneous modification and reactivation of a cratonic margin beneath the Korean Peninsula from teleseismic travel time tomography"

description: This file contains seismic data that were used in our study and final velocity models obtained by tomographic inversion. Please fined README.txt for general description for the individual files.
DOI: 10.6084/m9.figshare.8980499.v2
title: Data and models

description: This file contains seismic data that were used in our study and final velocity models obtained by tomographic inversion. Please fined README.txt for general description for the individual files.
DOI: 10.6084/m9.figshare.8980439
title: Catharus thrushes UCE study

description: 1) Reference fasta (based on two Hylocichla); <br><br>2) analyzed vcf file for three-species migratory clade; <br><br>3) individual UCE sequences used in systematics analyses (phylip formatted).
DOI: 10.6084/m9.figshare.8980499.v3
title: Seismic data and velocity model of “Heterogeneous modification and reactivation of a cratonic margin beneath the Korean Peninsula from teleseismic travel time tomography”

description: This file contains seismic data that were used in our study and final velocity models obtained by tomographic inversion. Please fined README.txt for general description for the individual files.
DOI: 10.6084/m9.figshare.8980439.v1
title: Catharus thrushes UCE study

description: 1) Reference fasta (based on two Hylocichla); <br><br>2) analyzed vcf file for three-species migratory clade; <br><br>3) individual UCE sequences used in systematics analyses (fasta files).
DOI: 10.6084/m9.figshare.8980499.v4
title: Seismic data and velocity model of “Heterogeneous modification and reactivation of a cratonic margin beneath the Korean Peninsula from teleseismic travel time tomography”

description: This file contains seismic data that were used in our study and final velocity models obtained by tomographic inversion. Please fined README.txt for general description for the individual files.
DOI: 10.6084/m9.figshare.8980412
title: Dataset for: Self-initiated learning reveals memory performance and electrophysiological differences between younger, older and older adults with relative memory impairment

description: Older adults display difficulties in encoding and retrieval of information, resulting in poorer memory. This may be due to an inability of older adults to engage elaborative encoding strategies during learning. This study examined behavioural and electrophysiological effects of explicit cues to self-initiate learning during encoding and subsequent recognition of words in younger adults (YA), older control adults (OA) and older adults with relative memory impairment (OD). The task was a variation of the Old/New paradigm, some study items were preceded by a cue to learn the word (L) while others by a do not learn cue (X). Behaviourally, YA outperformed OA and OD on the recognition task, with no significant difference between OA and OD. Event-related potentials at encoding revealed enhanced early visual processing (70-140ms) for L-vs.X-words in young and old. Only YA exhibited a greater late posterior positivity (LPP) (200-500ms) for all words during encoding perhaps reflecting superior encoding strategy. During recognition, only YA differentiated L-vs.X-words with enhanced frontal P200 (150-250ms) suggesting impaired early word selection for retrieval in older groups, however OD had enhanced activity compared to OA during L-word. The LPP (250-500ms) was reduced in amplitude for L-words compared to both X- and New-words. However, YA and OD showed greater LPP amplitude for all words compared to OA. For older groups, we observed reduced left parietal hemispheric asymmetry apparent in YA during encoding and recognition, especially for OD. Findings are interpreted in light of models of compensation and dedifferentiation associated with age-related changes in memory function.
DOI: 10.6084/m9.figshare.8980499.v5
title: Seismic data and velocity model of “Heterogeneous modification and reactivation of a craton margin beneath the Korean Peninsula from teleseismic travel time tomography”

description: This file contains the seismic data used in our study and the final velocity models obtained by tomographic inversion. Please refer to README.txt for a general description of individual files.
DOI: 10.6084/m9.figshare.8980412.v1
title: Dataset for: Self-initiated learning reveals memory performance and electrophysiological differences between younger, older and older adults with relative memory impairment

description: Older adults display difficulties in encoding and retrieval of information, resulting in poorer memory. This may be due to an inability of older adults to engage elaborative encoding strategies during learning. This study examined behavioural and electrophysiological effects of explicit cues to self-initiate learning during encoding and subsequent recognition of words in younger adults (YA), older control adults (OA) and older adults with relative memory impairment (OD). The task was a variation of the Old/New paradigm, some study items were preceded by a cue to learn the word (L) while others by a do not learn cue (X). Behaviourally, YA outperformed OA and OD on the recognition task, with no significant difference between OA and OD. Event-related potentials at encoding revealed enhanced early visual processing (70-140ms) for L-vs.X-words in young and old. Only YA exhibited a greater late posterior positivity (LPP) (200-500ms) for all words during encoding perhaps reflecting superior encoding strategy. During recognition, only YA differentiated L-vs.X-words with enhanced frontal P200 (150-250ms) suggesting impaired early word selection for retrieval in older groups, however OD had enhanced activity compared to OA during L-word. The LPP (250-500ms) was reduced in amplitude for L-words compared to both X- and New-words. However, YA and OD showed greater LPP amplitude for all words compared to OA. For older groups, we observed reduced left parietal hemispheric asymmetry apparent in YA during encoding and recognition, especially for OD. Findings are interpreted in light of models of compensation and dedifferentiation associated with age-related changes in memory function.
DOI: 10.6084/m9.figshare.8980403
title: Dataset for: Comments on Schoenberg et al. (2003)

description: This article comments on: Schoenberg FP, et al., On the distribution of wildfire sizes. Environmetrics. 2003;14:e605. https://doi.org/10.1002/env.605. These comments are mainly about both numerical and visual goodness-of-fit criteria, used for comparing the performance of candidate distributions for wildfire sizes. \textcolor{blue}{ First the ML estimate of the half-normal distribution and its corresponding goodness-of-fit criterions are corrected. Then the given values of the Akaike Information Criterion (AIC) for all fitted models are modified. Furthermore, some comments on the inappropriateness of naming the proposed statistic under the ‘Cram\'{e}r–von-Mises (C-vM) statistic' are given. After presenting the C-vM statistic, its values and the corresponding p-values, which show the goodness of fitted proposed distributions for describing the data, are calculated}. At the end, the asymptotic confidence bounds for the 'fitted comparison-line' in QQ-plots of two best fitted distributions, are given. Comparing these asymptotic bounds with their counterparts in \citeNP{Schoen2003}, named 'confidence bounds based on Monte Carlo simulation', bear great similarity in the position of the end points, while creating them cost relatively much cheaper computations.
DOI: 10.6084/m9.figshare.8980499.v6
title: Seismic data and velocity model of “Heterogeneous modification and reactivation of a craton margin beneath the Korean Peninsula from teleseismic travel time tomography”

description: This file contains the seismic data used in our study and the final velocity models obtained by tomographic inversion. Please refer to README.txt for a general description of individual files.
DOI: 10.6084/m9.figshare.12401612
title: Data set of spatial distribution of three ontogenetic stages of 'Euterpe edulis'

description: This tab-delimited table belongs to the manuscript: Valverde et al. (2020) Large herbivores regulate the spatial recruitment of a hyperdominant Neotropical palm. Biotropica.<br><br>'cell_x’ and ‘cell_y’ denote the 1m2 cuadrand within the plot<br>'x’ and ‘y’ denote the coordinate randomized within the 1m2 cell<br>'mark’ shows the ontognetic stage of each point (seedling, sapling or adult)<br>'WLP’ denotes the presence or absence of White-lipped peccary
DOI: 10.6084/m9.figshare.8980403.v1
title: Dataset for: Comments on Schoenberg et al. (2003)

description: This article comments on: Schoenberg FP, et al., On the distribution of wildfire sizes. Environmetrics. 2003;14:e605. https://doi.org/10.1002/env.605. These comments are mainly about both numerical and visual goodness-of-fit criteria, used for comparing the performance of candidate distributions for wildfire sizes. \textcolor{blue}{ First the ML estimate of the half-normal distribution and its corresponding goodness-of-fit criterions are corrected. Then the given values of the Akaike Information Criterion (AIC) for all fitted models are modified. Furthermore, some comments on the inappropriateness of naming the proposed statistic under the ‘Cram\'{e}r–von-Mises (C-vM) statistic' are given. After presenting the C-vM statistic, its values and the corresponding p-values, which show the goodness of fitted proposed distributions for describing the data, are calculated}. At the end, the asymptotic confidence bounds for the 'fitted comparison-line' in QQ-plots of two best fitted distributions, are given. Comparing these asymptotic bounds with their counterparts in \citeNP{Schoen2003}, named 'confidence bounds based on Monte Carlo simulation', bear great similarity in the position of the end points, while creating them cost relatively much cheaper computations.
DOI: 10.6084/m9.figshare.8980325
title: Recommended model feature importance on binary predictive tasks

description: These tables contain feature importance rankings for the coefficients of the recommended model (L2 regression). Specifically, there is one table for each gene set. Each table has 21 columns corresponding to the 21 different binary predictive tasks. The rows of each table are the ensembl IDs of the genes in the gene set. The values are the mean (across five CV folds) normalized ranking of that gene's coefficient in the recommended model on the corresponding task. <br>
DOI: 10.6084/m9.figshare.8980103
title: grid.189504.1

description: Network Graphs for institution grid.189504.1 created for "What Does a University Look Like?" poster
DOI: 10.6084/m9.figshare.8980004
title: The microbiome reflects diagnosis and predicts disease severity in paediatric onset inflammatory bowel disease

description: <b>Objectives:</b> A microbiotic profile characterized by decreased abundance and richness has been described in inflammatory bowel disease (IBD). Recently, sequencing the microbiome to the species level has become possible, which can improve our understanding of the gut to host interaction in IBD. We aimed to describe the microbiotic profile in paediatric IBD and compare it to disease phenotype and disease course. <b>Methods:</b> Faecal samples were collected from a cross-sectional cohort. The microbiome analysis was performed using 16S and 18S rRNA sequencing with the miSeq instrument. Inflammatory activity was assessed by faecal calprotectin. Data regarding medical treatment and surgery in the year after faecal sampling were collected from patient charts. <b>Results:</b> One hundred and forty-three (143) paediatric IBD patients and 34 healthy controls (HC) were included. We found a reduced richness in IBD patients compared to HCs (controls vs. ulcerative colitis (UC), <i>p</i> p = .04)). Moreover, a high degree of intestinal inflammation and extensive disease extent was associated with reduced richness in UC (<i>p</i> = .02 and <i>p</i> = .04, respectively). Nine species were significantly associated with a healthy microbiome and three species were associated with IBD. Lastly, we found that the composition of the microbiome could distinguish between CD, UC and HCs. <b>Conclusions:</b> In this study, we found that the microbiome could discriminate between IBD phenotypes and predict which patients were at risk of surgery. In the future, this could be included as part of the diagnostic work-up in IBD patients.
DOI: 10.6084/m9.figshare.8980004.v2
title: The microbiome reflects diagnosis and predicts disease severity in paediatric onset inflammatory bowel disease

description: <b>Objectives:</b> A microbiotic profile characterized by decreased abundance and richness has been described in inflammatory bowel disease (IBD). Recently, sequencing the microbiome to the species level has become possible, which can improve our understanding of the gut to host interaction in IBD. We aimed to describe the microbiotic profile in paediatric IBD and compare it to disease phenotype and disease course. <b>Methods:</b> Faecal samples were collected from a cross-sectional cohort. The microbiome analysis was performed using 16S and 18S rRNA sequencing with the miSeq instrument. Inflammatory activity was assessed by faecal calprotectin. Data regarding medical treatment and surgery in the year after faecal sampling were collected from patient charts. <b>Results:</b> One hundred and forty-three (143) paediatric IBD patients and 34 healthy controls (HC) were included. We found a reduced richness in IBD patients compared to HCs (controls vs. ulcerative colitis (UC), <i>p</i> p = .04)). Moreover, a high degree of intestinal inflammation and extensive disease extent was associated with reduced richness in UC (<i>p</i> = .02 and <i>p</i> = .04, respectively). Nine species were significantly associated with a healthy microbiome and three species were associated with IBD. Lastly, we found that the composition of the microbiome could distinguish between CD, UC and HCs. <b>Conclusions:</b> In this study, we found that the microbiome could discriminate between IBD phenotypes and predict which patients were at risk of surgery. In the future, this could be included as part of the diagnostic work-up in IBD patients.
DOI: 10.6084/m9.figshare.8979857
title: immunostaining data

description: Immunostaining images for Figure 1, 2, and S1 from tagPAINT imaging.
DOI: 10.6084/m9.figshare.8980004.v1
title: The microbiome reflects diagnosis and predicts disease severity in paediatric onset inflammatory bowel disease

description: <b>Objectives:</b> A microbiotic profile characterized by decreased abundance and richness has been described in inflammatory bowel disease (IBD). Recently, sequencing the microbiome to the species level has become possible, which can improve our understanding of the gut to host interaction in IBD. We aimed to describe the microbiotic profile in paediatric IBD and compare it to disease phenotype and disease course. <b>Methods:</b> Faecal samples were collected from a cross-sectional cohort. The microbiome analysis was performed using 16S and 18S rRNA sequencing with the miSeq instrument. Inflammatory activity was assessed by faecal calprotectin. Data regarding medical treatment and surgery in the year after faecal sampling were collected from patient charts. <b>Results:</b> One hundred and forty-three (143) paediatric IBD patients and 34 healthy controls (HC) were included. We found a reduced richness in IBD patients compared to HCs (controls vs. ulcerative colitis (UC), <i>p</i> p = .04)). Moreover, a high degree of intestinal inflammation and extensive disease extent was associated with reduced richness in UC (<i>p</i> = .02 and <i>p</i> = .04, respectively). Nine species were significantly associated with a healthy microbiome and three species were associated with IBD. Lastly, we found that the composition of the microbiome could distinguish between CD, UC and HCs. <b>Conclusions:</b> In this study, we found that the microbiome could discriminate between IBD phenotypes and predict which patients were at risk of surgery. In the future, this could be included as part of the diagnostic work-up in IBD patients.
DOI: 10.6084/m9.figshare.8979842
title: Robertson and McClelland 2019

description: Data for Journal of Experimental Biology (2019) 222, jeb210963. doi:10.1242/jeb.210963
DOI: 10.6084/m9.figshare.8979842.v1
title: Robertson and McClelland 2019

description: Data for Robertson and McClelland 2019
DOI: 10.6084/m9.figshare.8979842.v3
title: Robertson and McClelland 2019

description: Data for Journal of Experimental Biology (2019) 222, jeb210963. doi:10.1242/jeb.210963