cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7092260.v4
title: Spatial dataset for Sogod Bay

description: Spatial data layers on: (1) the administrative boundaries for (a) barangays, (b) municipalities, and (c) municipal waters in the study region in Sogod Bay, Philippines; (2) the distribution of coastal habitats derived from a remote sensing analysis using WorldView-2 images and underwater video transects; and (3) the location of (a) current marine protected areas (MPAs) and (b) prospective MPA sites identified and supported by coastal communities, (c) new MPAs identified through a national-scale and donor-assisted conservation project that utilized local knowledge to select MPAs, and (d) new MPA sites selected through a systematic conservation planning approach that employed the spatial prioritization software ‘Marxan with Zones’ to achieve biodiversity objectives with minimal and equitable costs to fisher stakeholder groups. This dataset was used to investigate alternative planning options for designing a MPA network in Sogod Bay in Southern Leyte province in the Philippines. The study region encompassed the coastal waters of the municipality of Pintuyan, San Francisco, Liloan, Padre Burgos, and Limasawa.
DOI: 10.6084/m9.figshare.7092236
title: Metadata for US stream classification system

description: Meta-data and variable descriptions for US stream classification system.
DOI: 10.6084/m9.figshare.7092236.v1
title: Metadata for US stream classification system

description: Meta-data and variable descriptions for US stream classification system.
DOI: 10.6084/m9.figshare.7092173
title: Target-Area Link-Flooding DDoS Attacks - The Crossfire Attack

description: The Crossfire attack traffic flows congest a small set of selected network links using benign low-rate flows from bots to publicly accessible servers, while degrading connectivity to the target area.
DOI: 10.6084/m9.figshare.7092155
title: house_dust_pollutant_concentrations.xlsx

description: Concentrations of polycyclic aromatic hydrocarbons (PAH) and heavy metals measured in house dust samples collected 14 months after a major wildfire in Fort McMurray (Alberta, Canada).<br>
DOI: 10.6084/m9.figshare.7092155.v1
title: house_dust_pollutant_concentrations.xlsx

description: Concentrations of polycyclic aromatic hydrocarbons (PAH) and heavy metals measured in house dust samples collected 14 months after a major wildfire in Fort McMurray (Alberta, Canada).<br>
DOI: 10.6084/m9.figshare.7092098
title: data_and_workflow.zip

description: Requirements:<br>- local installation of mongo 3.2 or higher, with the server at the default port 27017.- Java 7 or higher.<br><br>The file contains the csv needed to obtain the database associated to the USA16 elections. The transformation from the .csv to the final mongo collections (tweets and users) is done by the file workflow.sh. The documento workflow.pdf explains te process.<br>
DOI: 10.6084/m9.figshare.7092098.v1
title: data_and_workflow.zip

description: Requirements:<br>- local installation of mongo 3.2 or higher, with the server at the default port 27017.- Java 7 or higher.<br><br>The file contains the csv needed to obtain the database associated to the USA16 elections. The transformation from the .csv to the final mongo collections (tweets and users) is done by the file workflow.sh. The documento workflow.pdf explains te process.<br>
DOI: 10.6084/m9.figshare.7092065
title: DATA FOR SUBMISSION 20180915.xls

description: This .xls file shows the data for the final analysis (of 215 participants).
DOI: 10.6084/m9.figshare.7092065.v1
title: DATA FOR SUBMISSION 20180915.xls

description: This .xls file shows the data for the final analysis (of 215 participants).
DOI: 10.6084/m9.figshare.7091933
title: mpd_KTB_2002_2016

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091918
title: Model coefficients from Interactive effects of tree size, crown exposure and logging on drought-induced mortality

description: Mean coefficients for all models fit in this study across the entire dataset (i.e. that did not fit separate models to logged and unlogged plots).
DOI: 10.6084/m9.figshare.7091918.v1
title: Model coefficients from Interactive effects of tree size, crown exposure and logging on drought-induced mortality

description: Mean coefficients for all models fit in this study across the entire dataset (i.e. that did not fit separate models to logged and unlogged plots).
DOI: 10.6084/m9.figshare.7091933.v1
title: mpd_KTB_2002_2016

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091912
title: all_mod_coefs from Interactive effects of tree size, crown exposure and logging on drought-induced mortality

description: Large trees in the tropics are reportedly more vulnerable to droughts than their smaller neighbours. This pattern is of interest due to what it portends for forest structure, timber production, carbon sequestration and multiple other values given that intensified El Niño Southern Oscillation (ENSO) events are expected to increase the frequency and intensity of droughts in the Amazon region. What remains unclear is what characteristics of large trees renders them especially vulnerable to drought-induced mortality and how this vulnerability changes with forest degradation. Using a large-scale, long-term silvicultural experiment in a transitional Amazonian forest in Bolivia, we disentangle the effects of stem diameter, tree height, crown exposure and logging-induced degradation on risks of drought-induced mortality during the 2004/2005 ENSO event. Overall, tree mortality increased in response to drought in both logged and unlogged plots. Tree height was a much stronger predictor of mortality than stem diameter. In unlogged plots, tree height but not crown exposure was positively associated with drought-induced mortality, whereas in logged plots, neither tree height nor crown exposure was associated with drought-induced mortality. Our results suggest that at the scale of a site, hydraulic factors related to tree height, not air humidity, are a cause of elevated drought-induced mortality of large trees in unlogged plots.This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Nino on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.
DOI: 10.6084/m9.figshare.7091912.v1
title: all_mod_coefs from Interactive effects of tree size, crown exposure and logging on drought-induced mortality

description: Large trees in the tropics are reportedly more vulnerable to droughts than their smaller neighbours. This pattern is of interest due to what it portends for forest structure, timber production, carbon sequestration and multiple other values given that intensified El Niño Southern Oscillation (ENSO) events are expected to increase the frequency and intensity of droughts in the Amazon region. What remains unclear is what characteristics of large trees renders them especially vulnerable to drought-induced mortality and how this vulnerability changes with forest degradation. Using a large-scale, long-term silvicultural experiment in a transitional Amazonian forest in Bolivia, we disentangle the effects of stem diameter, tree height, crown exposure and logging-induced degradation on risks of drought-induced mortality during the 2004/2005 ENSO event. Overall, tree mortality increased in response to drought in both logged and unlogged plots. Tree height was a much stronger predictor of mortality than stem diameter. In unlogged plots, tree height but not crown exposure was positively associated with drought-induced mortality, whereas in logged plots, neither tree height nor crown exposure was associated with drought-induced mortality. Our results suggest that at the scale of a site, hydraulic factors related to tree height, not air humidity, are a cause of elevated drought-induced mortality of large trees in unlogged plots.This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Nino on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.
DOI: 10.6084/m9.figshare.7091900
title: Supplemental Data File 1 from Expression of a novel surfactant protein gene is associated with sites of extrapulmonary respiration in a lungless salamander

description: Spreadsheet with all of the sequence data used in the study.
DOI: 10.6084/m9.figshare.7091897
title: Supplemental Data File 2 from Expression of a novel surfactant protein gene is associated with sites of extrapulmonary respiration in a lungless salamander

description: A FASTA amino acid alignment used to generate the gene tree.
DOI: 10.6084/m9.figshare.7091885
title: Codes from Microstructural patterns with tunable mechanical anisotropy obtained by simulating anisotropic spinodal decomposition

description: SpinodalSolver3D.cc: 3D Implementation of the Cahn-Hiliard equation for anisotropic spinodal decomposition with random initial conditions; GammaPlotterEulerAnlges.m: Matlab plotter for the 3D representation of the directional gamma surface; ElasticSurfacePlotterEulerAngles.m: Matlab plotter for the 3D representation of the directional elastic surface for given C-tensor; Poisson2DPlotterEulerAngles.m: Matlab plotter for the 2D representation of the directional Poisson's ratio for given C-tensor.
DOI: 10.6084/m9.figshare.7091885.v1
title: Codes from Microstructural patterns with tunable mechanical anisotropy obtained by simulating anisotropic spinodal decomposition

description: SpinodalSolver3D.cc: 3D Implementation of the Cahn-Hiliard equation for anisotropic spinodal decomposition with random initial conditions; GammaPlotterEulerAnlges.m: Matlab plotter for the 3D representation of the directional gamma surface; ElasticSurfacePlotterEulerAngles.m: Matlab plotter for the 3D representation of the directional elastic surface for given C-tensor; Poisson2DPlotterEulerAngles.m: Matlab plotter for the 2D representation of the directional Poisson's ratio for given C-tensor.
DOI: 10.6084/m9.figshare.7091879
title: Numerical implementation from A mathematical and numerical framework for near-field optics

description: It contains the MATLAB codes for reconstructing the small perturbations
DOI: 10.6084/m9.figshare.7091879.v1
title: Numerical implementation from A mathematical and numerical framework for near-field optics

description: It contains the MATLAB codes for reconstructing the small perturbations
DOI: 10.6084/m9.figshare.7091843
title: mp2016_biak_mpd

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091843.v1
title: mp2016_biak_mpd

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091837
title: mp2014_biak_mpd

description: The data cover equatorial region in Indonesia<br>
DOI: 10.6084/m9.figshare.7091840
title: mp2015_biak_mpd

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091837.v1
title: mp2014_biak_mpd

description: The data cover equatorial region in Indonesia<br>
DOI: 10.6084/m9.figshare.7091840.v1
title: mp2015_biak_mpd

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091834
title: mp2013_biak_mpd

description: The data cover equatorial region in Indonesia<br>
DOI: 10.6084/m9.figshare.7091834.v1
title: mp2013_biak_mpd

description: The data cover equatorial region in Indonesia<br>
DOI: 10.6084/m9.figshare.7091828
title: mp2012_biak_mpd

description: The data cover equatorial region in Indonesia<br>
DOI: 10.6084/m9.figshare.7091828.v1
title: mp2012_biak_mpd

description: The data cover equatorial region in Indonesia<br>
DOI: 10.6084/m9.figshare.7091801
title: mp2011_biak_mpd

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091801.v1
title: mp2011_biak_mpd

description: The data cover equatorial region in Indonesia.<br>
DOI: 10.6084/m9.figshare.7091780
title: Genetic diversity and molecular fingerprinting of <i>Prunus cerasus</i> var. <i>austera</i> from central Italy

description: In central Italy, <i>Prunus cerasus</i> var. <i>austera</i> is cultivated as small stands or scattered trees in marginal areas for the production of jam and wine. Thanks to the healthy attributes of its products and its ability to grow in different environmental conditions, this variety has gained new interest in the development of marginal areas. We assessed the level of the genetic variability of <i>P. cerasus</i> var. <i>austera</i> germplasm from central Italy and identified a ‘core collection’ representative of the present genetic diversity. A total of 161 trees, morphologically identified as var. <i>austera</i>, and one tree, identified as var. <i>caproniana</i> were collected and genotyped by 14 SSRs. Two individuals provided by a commercial plant nursery, one of <i>P. cerasus</i> var. <i>caproniana</i> and one of <i>P. cerasus</i> var. <i>austera</i>, were used as control. Thirteen SSRs presented private alleles in <i>austera</i>. Seven individuals morphologically identified as <i>austera</i> revealed private alleles specific to <i>caproniana.</i> The PCoA and Bayesian clustering analysis showed a main genetic group including var. <i>austera</i>, while a second group included all the <i>caproniana</i>-like genotypes. A core collection of 31 trees (46% of <i>austera</i> genotypes) was selected. This study can be considered as a starting point for future investigations on this variety.
DOI: 10.6084/m9.figshare.7091729
title: mpd_BIK_2011_2016

description: the data cover equatorial region in indonesia.<br>
DOI: 10.6084/m9.figshare.7091729.v2
title: mpd_BIK_2011_2016

description: the data cover equatorial region in indonesia.<br>
DOI: 10.6084/m9.figshare.7091600
title: Additional file 2: of Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data

description: GOEAST gene-batch output of enriched GO terms in the Biological Processes, Cellular Components and Molecular Function categories for RNA-Seq top selected genes. (TXT 8 kb)
DOI: 10.6084/m9.figshare.7091597
title: Additional file 1: of Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data

description: GOEAST gene-batch output of enriched GO terms in the Biological Processes, Cellular Components and Molecular Function categories for CNA top selected genes. (TXT 45 kb)
DOI: 10.6084/m9.figshare.7091600.v1
title: Additional file 2: of Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data

description: GOEAST gene-batch output of enriched GO terms in the Biological Processes, Cellular Components and Molecular Function categories for RNA-Seq top selected genes. (TXT 8 kb)
DOI: 10.6084/m9.figshare.7091597.v1
title: Additional file 1: of Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data

description: GOEAST gene-batch output of enriched GO terms in the Biological Processes, Cellular Components and Molecular Function categories for CNA top selected genes. (TXT 45 kb)
DOI: 10.6084/m9.figshare.7091585
title: Additional file 9: of Cryptic sequence features in the active postmortem transcriptome

description: Nine sheets in MS Excel file of mouse data. The first sheet provides a detailed Readme that describes the sheets. Basically, first column is abundance of mer in OP, second column is average abundance in CP, third column is standard deviation in CP, and remaining 30 columns are abundances of 30 random draws from CP. Rows differ by mer length. (XLSX 62431 kb)
DOI: 10.6084/m9.figshare.7091582
title: Additional file 8: of Cryptic sequence features in the active postmortem transcriptome

description: Nine sheets in MS Excel file of zebrafish data. The first sheet provides a detailed Readme that describes the sheets. Basically, first column is abundance of mer in OP, second column is average abundance in CP, third column is standard deviation in CP, and remaining 30 columns are abundances of 30 random draws from CP. Rows differ by mer length. (XLSX 61046 kb)
DOI: 10.6084/m9.figshare.7091576
title: Additional file 6: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the control pool (CP) for the zebrafish. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 27,433 rows. (FNA 129817 kb)
DOI: 10.6084/m9.figshare.7091582.v1
title: Additional file 8: of Cryptic sequence features in the active postmortem transcriptome

description: Nine sheets in MS Excel file of zebrafish data. The first sheet provides a detailed Readme that describes the sheets. Basically, first column is abundance of mer in OP, second column is average abundance in CP, third column is standard deviation in CP, and remaining 30 columns are abundances of 30 random draws from CP. Rows differ by mer length. (XLSX 61046 kb)
DOI: 10.6084/m9.figshare.7091585.v1
title: Additional file 9: of Cryptic sequence features in the active postmortem transcriptome

description: Nine sheets in MS Excel file of mouse data. The first sheet provides a detailed Readme that describes the sheets. Basically, first column is abundance of mer in OP, second column is average abundance in CP, third column is standard deviation in CP, and remaining 30 columns are abundances of 30 random draws from CP. Rows differ by mer length. (XLSX 62431 kb)
DOI: 10.6084/m9.figshare.7091579
title: Additional file 7: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file: (i) zebrafish, and (ii) mouse. Each sheet has 4 columns: first column is string length (strlen) of OP transcript; second column is blank; third column is string length of the corresponding CP transcript; fourth column is string length of corresponding CP2 transcript. Rows 1 to 231 in the zebrafish sheet contain the strlen of 230 transcripts in both OP and CP1 and CP2; rows 233 and 234 contains average and standard deviations of the columns; row 236 contains the two-tailed t-test results for OP vs CP1 and OP vs CP2. Rows 1 to 334 in the mouse sheet contain the strlen of 333 transcripts in both OP and CP1 and CP2; rows 336 and 337 contains average and standard deviations of the columns; row 339 contains the two-tailed t-test results for OP vs CP1 and OP vs CP2. (XLS 82 kb)
DOI: 10.6084/m9.figshare.7091576.v1
title: Additional file 6: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the control pool (CP) for the zebrafish. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 27,433 rows. (FNA 129817 kb)
DOI: 10.6084/m9.figshare.7091579.v1
title: Additional file 7: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file: (i) zebrafish, and (ii) mouse. Each sheet has 4 columns: first column is string length (strlen) of OP transcript; second column is blank; third column is string length of the corresponding CP transcript; fourth column is string length of corresponding CP2 transcript. Rows 1 to 231 in the zebrafish sheet contain the strlen of 230 transcripts in both OP and CP1 and CP2; rows 233 and 234 contains average and standard deviations of the columns; row 236 contains the two-tailed t-test results for OP vs CP1 and OP vs CP2. Rows 1 to 334 in the mouse sheet contain the strlen of 333 transcripts in both OP and CP1 and CP2; rows 336 and 337 contains average and standard deviations of the columns; row 339 contains the two-tailed t-test results for OP vs CP1 and OP vs CP2. (XLS 82 kb)
DOI: 10.6084/m9.figshare.7091570
title: Additional file 4: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the over-abundant pool (OP) for the zebrafish. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 230 rows. (FNA 546 kb)
DOI: 10.6084/m9.figshare.7091573
title: Additional file 5: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the control pool (CP) for the mouse. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 32,611 rows. (FNA 81851 kb)
DOI: 10.6084/m9.figshare.7091570.v1
title: Additional file 4: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the over-abundant pool (OP) for the zebrafish. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 230 rows. (FNA 546 kb)
DOI: 10.6084/m9.figshare.7091573.v1
title: Additional file 5: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the control pool (CP) for the mouse. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 32,611 rows. (FNA 81851 kb)
DOI: 10.6084/m9.figshare.7091564
title: Additional file 2: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file: (i) zebrafish_probes_PM, and (ii) mouse_probes_PM. PM, perfect match probes. Each sheet has two columns: first column is Agilent Probe ID and second column is DNA sequence. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.7091567
title: Additional file 3: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the over-abundant pool (OP) for the mouse. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 330 rows. (FNA 926 kb)
DOI: 10.6084/m9.figshare.7091567.v1
title: Additional file 3: of Cryptic sequence features in the active postmortem transcriptome

description: Two columns in text file of the over-abundant pool (OP) for the mouse. One column is Agilent Probe ID linked to Annotated Gene Name and second column is cDNA sequence. Total of 330 rows. (FNA 926 kb)
DOI: 10.6084/m9.figshare.7091564.v1
title: Additional file 2: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file: (i) zebrafish_probes_PM, and (ii) mouse_probes_PM. PM, perfect match probes. Each sheet has two columns: first column is Agilent Probe ID and second column is DNA sequence. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.7091558
title: Additional file 16: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file. The first sheet is the number of mers by region for the zebrafish and the second sheet is the same for the mouse. (XLS 86 kb)
DOI: 10.6084/m9.figshare.7091552
title: Additional file 15: of Cryptic sequence features in the active postmortem transcriptome

description: Four sheets in MS Excel file. The first sheet provides a detailed Readme that describes the sheets. The second and third sheets have the number of mer hits by transcript sequence length for the zebrafish and mouse. The fourth sheet has the summarize RegRNA2 output for 10 samples. (XLS 117 kb)
DOI: 10.6084/m9.figshare.7091558.v1
title: Additional file 16: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file. The first sheet is the number of mers by region for the zebrafish and the second sheet is the same for the mouse. (XLS 86 kb)
DOI: 10.6084/m9.figshare.7091549
title: Additional file 14: of Cryptic sequence features in the active postmortem transcriptome

description: Two sheets in MS Excel file. The first sheet is the collapsed data of the Zebrafish and the second sheet is the collapsed data of the Mouse. Each sheet shows how the data was log normalized for making the heatmaps. The collapsed data was based on two way cluster groups using Wards linkage methods. (XLS 108 kb)