cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5202733
title: Dataset of wing measures of Scaptodrosophila lativittata (Diptera: Drosophilidae)

description: Measurements of the wing venation of 20 specimens (10 males and 10 females) of <i>Scaptodrosophila lativittata</i> (Malloch, 1923:618, type locality Sydney, family Drosophilidae) are presented with the objective to discover the extent and sources of error and variation in the measurement of wing venation within a species. The specimens were all collected on the BushBlitz Expedition to Oxley Wild Rivers NP, -30.8° 151.1°, NSW, Australia, coll. John Tann, 5–10 November 2015, from banana bait (Australian Museum, Sydney). One wing was removed from each specimen, flat-mounted on a slide under a cover slip, photographed at high resolution and measured digitally in one of two ways: <i>(a)</i> by <i>direct </i>measurement between two measure-points or landmarks, and <i>(b)</i> by <i>trigonometry </i>after logging all distance measures and angles from a fixed point—a time-saving method described by McEvey (2017). Four datasets are presented here: Table 1 lists the distances (µm) between defined measure-points, the process used in Table 1 is replicated in Table 2. In Table 3, the <i>trigonometry</i> method is used on the same 20 wings. In Table 4 the same wing is measured 25 times, 12 times by McE and 13 times by KD; human bias and error in technique becomes apparent. Table 5 is a key to abbreviations and should be used in conjunction with McEvey’s (2017) diagrams of measure-points.
DOI: 10.6084/m9.figshare.5202469
title: Data from: A pathogenic skin fungus and sloughing exacerbate cutaneous water loss in amphibians

description: All data from the publication entitled, "A pathogenic skin fungus and sloughing exacerbate cutaneous water loss in amphibians". The data file is divided into multiple datasets. <br><br>Dataset 1: Cutaneous water loss rate (g/h) data from five species of Australian frog (<i>Litoria caerulea, Limnodynastes tasmaniensis, Limnodynastes peronii, Lechriodus fletcheri, and Platyplectrum ornatum</i>). Includes individual ID, species, date of measurement, snout-vent length (SVL), exposure group and history of experimental exposure to the fungus <i>Batrachochytrium dendrobatidis</i>, infection load, water loss rates during activity and inactivity as well as total water loss during the measurement period, and the temperature, humidity, and wind speed during testing.<br> Dataset 2: Cutaneous water loss rate (g/h) data from green tree frogs (<i>Lit. caerulea</i>) during sloughing, inactivity, and activity, and when infected with the fungus <i>Bd</i>. Includes individual ID, date of measurement, snout-vent length (SVL), exposure group and history of experimental exposure to the fungus <i>Bd</i>, infection status and load, initial mass, percent mass loss, water loss rates during activity and inactivity before, during, and after sloughing, and the temperature, humidity, and wind speed during testing.<br> Dataset 3: Cutaneous water loss rate (g/h) data from green tree frogs (<i>Lit. caerulea</i>) throughout the intermolt period (between two sloughing events). Includes individual ID, date of measurement, exposure group and history of experimental exposure to the fungus <i>Bd</i>, infection status and load, hours post sloughing that the measurement was taken, snout-vent length (SVL), proportion of the intermolt interval the measurement was taken (hours post sloughing/length of intermolt period), water loss rate (g/h), behavior (Active, Inactive, or Sloughing), and the temperature, humidity, and wind speed during testing. <br>Dataset 4: Additional details on the history of exposure to <i>Bd</i> for each frog.<br>All experiments were conducted with the approval of the University of Queensland Animal Welfare Committee (certificate SBS/452/12/URG) and the Queensland Environmental Protection Agency (permit WISP12218412). <br>
DOI: 10.6084/m9.figshare.5202469.v1
title: Data from: A pathogenic skin fungus and sloughing exacerbate cutaneous water loss in amphibians

description: All data from the publication entitled, "A pathogenic skin fungus and sloughing exacerbate cutaneous water loss in amphibians". The data file is divided into multiple datasets. <br><br>Dataset 1: Cutaneous water loss rate (g/h) data from five species of Australian frog (<i>Litoria caerulea, Limnodynastes tasmaniensis, Limnodynastes peronii, Lechriodus fletcheri, and Platyplectrum ornatum</i>). Includes individual ID, species, date of measurement, snout-vent length (SVL), exposure group and history of experimental exposure to the fungus <i>Batrachochytrium dendrobatidis</i>, infection load, water loss rates during activity and inactivity as well as total water loss during the measurement period, and the temperature, humidity, and wind speed during testing.<br> Dataset 2: Cutaneous water loss rate (g/h) data from green tree frogs (<i>Lit. caerulea</i>) during sloughing, inactivity, and activity, and when infected with the fungus <i>Bd</i>. Includes individual ID, date of measurement, snout-vent length (SVL), exposure group and history of experimental exposure to the fungus <i>Bd</i>, infection status and load, initial mass, percent mass loss, water loss rates during activity and inactivity before, during, and after sloughing, and the temperature, humidity, and wind speed during testing.<br> Dataset 3: Cutaneous water loss rate (g/h) data from green tree frogs (<i>Lit. caerulea</i>) throughout the intermolt period (between two sloughing events). Includes individual ID, date of measurement, exposure group and history of experimental exposure to the fungus <i>Bd</i>, infection status and load, hours post sloughing that the measurement was taken, snout-vent length (SVL), proportion of the intermolt interval the measurement was taken (hours post sloughing/length of intermolt period), water loss rate (g/h), behavior (Active, Inactive, or Sloughing), and the temperature, humidity, and wind speed during testing. <br>Dataset 4: Additional details on the history of exposure to <i>Bd</i> for each frog.<br>All experiments were conducted with the approval of the University of Queensland Animal Welfare Committee (certificate SBS/452/12/URG) and the Queensland Environmental Protection Agency (permit WISP12218412). <br>
DOI: 10.6084/m9.figshare.5202457
title: Transcriptome assembly of RNA-Seq data from field samples collected during wheat blast epidemic in Bangladesh 2016

description: In 2016, wheat fields in Bangladesh were infected by wheat blast fungus (<i>Magnaporthe oryzae</i>) for the first time. The fungus spread quickly thoroughout the country and threatened other wheat growing areas in neighbouring countries. Islam <i>et al </i>(BMC Biology 2016 14:84<strong>, </strong>DOI<strong>: </strong>10.1186/s12915-016-0309-7) collected infected wheat samples, extracted RNA, and obtained short reads by Illumina RNA-Seq technology. Here, we report assemby of these short reads using Trinity v 2.0.6.<br>
DOI: 10.4225/03/5966c964c1215
title: Micro-SAXS colloidal glasses March 2014

description: This archive contains the SAXS data acquired in March 2014 at the SAXS/WAXS beamline Australian Synchrotron by Amelia Liu, Martin de Jonge, Stephen Mudie, Tim Petersen and Rico Tabor. <br>The x-ray beam energy was 5 keV. The beam was defined using a pair of Ge slits to limit divergence and a near-field tungsten aperture (20 micron OD). The specimens were 20 micron thick layers of colloidal glasses composed of SiO2 microspheres (300 nm OD) and sandwiched between two Kapton layers. A Kapton layer was used as the 20 micron spacer.<br>The archive contains:<br>- the raw micro-SAXS spatial scans (61x61 steps in 5 micron steps) (.tif in zipped folders)<br>- the structure factors and radial distribution functions (S(q) and g(r)) of the glasses (.csv)<br>- the average azimuthal symmetries derived from the first peak in the structure factor of the micro-SAXS patterns using the angular auto-correlation function (see ACY Liu et al PRL 110, 205505, (2013), and ACY Liu et al PRL 116, 205501 (2016)) (.txt magnitude;standard deviation;standard error;systematic error;total error (random and systematic)). ‘Even’ denotes symmetry magnitudes that have been corrected for dynamical diffraction according to the method outlined in ACY Liu et al Acta Cryst A 71, 473-482, (2015).<br>- the rotationally averaged projected symmetries of archetypal unit clusters used to decompose the symmetries of the glasses (.txt)
DOI: 10.6084/m9.figshare.5202448
title: Transcriptome sequencing of infected wheat samples collected during the wheat blast epidemic in Bangladesh in 2016 and release of raw sequence data on OpenWheatBlast website for open access

description: In 2016, wheat fields in Bangladesh were infected by wheat blast fungus (<i>Magnaporthe oryzae</i>) for the first time. The fungus spread quickly thoroughout the country and threatened other wheat growing areas in neighbouring countries. Islam <i>et al </i>(BMC Biology 2016 14:84<strong>, </strong>DOI<strong>: </strong>10.1186/s12915-016-0309-7) collected infected wheat samples, extracted RNA, and obtained short reads by Illumina RNA-Seq technology. Library preparation and sequencing runs were performed on Illumina HiSeq-2500 machines to produce paired-end reads with ~300 bp insert size. Here we report the release of all raw sequence data to public via OpenWheatBlast website for open access.<br><br>
DOI: 10.6084/m9.figshare.5202451
title: Transcriptome sequencing of infected wheat samples collected during the wheat blast epidemic in Bangladesh in 2017 and release of raw sequence data on OpenWheatBlast website with open access

description: Wheat fields in Bangladesh were again infected by wheat blast fungus (<i>Magnaporthe oryzae</i>) in 2017 growing season, following the epidemic of 2016. Infected wheat samples were collected by Tofazzal Islam and team, and sent to the Sainsbury Laboratory for RNA extraction and sequencing. Library preparation and RNA-Seq sequencing runs were performed on Illumina HiSeq-2500 machines at the Earlham Institute to produce paired-end reads with ~267 bp average insert size. Here we report the release of these data to general public with open access on OpenWheatBlast website.<br>
DOI: 10.6084/m9.figshare.5202445
title: ksRepo Epigenome-Based Analysis Files

description: Files to support https://github.com/adam-sam-brown/ksRepo/Epigenome vignette.
DOI: 10.6084/m9.figshare.5202457.v2
title: Transcriptome assembly of RNA-Seq data from field samples collected during wheat blast epidemic in Bangladesh 2016

description: In 2016, wheat fields in Bangladesh were infected by wheat blast fungus (<i>Magnaporthe oryzae</i>) for the first time. The fungus spread quickly thoroughout the country and threatened other wheat growing areas in neighbouring countries. Islam <i>et al </i>(BMC Biology 2016 14:84<strong>, </strong>DOI<strong>: </strong>10.1186/s12915-016-0309-7) collected infected wheat samples, extracted RNA, and obtained short reads by Illumina RNA-Seq technology. Here, we report assemby of these short reads using Trinity v 2.0.6.<br>
DOI: 10.6084/m9.figshare.5202445.v1
title: ksRepo Epigenome-Based Analysis Files

description: Files to support https://github.com/adam-sam-brown/ksRepo/Epigenome vignette.
DOI: 10.6084/m9.figshare.5202457.v1
title: Bangladesh Field RNA-Seq samples 2016 - Transcript Assembly

description: Transcript assembly of short reads from RNA isolated from infected wheat blades collected during Bangladesh wheat blast epidemics in 2016.
DOI: 10.6084/m9.figshare.5202448.v2
title: Transcriptome sequencing of infected wheat samples collected during the wheat blast epidemic in Bangladesh in 2016 and release of raw sequence data on OpenWheatBlast website for open access

description: In 2016, wheat fields in Bangladesh were infected by wheat blast fungus (<i>Magnaporthe oryzae</i>) for the first time. The fungus spread quickly thoroughout the country and threatened other wheat growing areas in neighbouring countries. Islam <i>et al </i>(BMC Biology 2016 14:84<strong>, </strong>DOI<strong>: </strong>10.1186/s12915-016-0309-7) collected infected wheat samples, extracted RNA, and obtained short reads by Illumina RNA-Seq technology. Library preparation and sequencing runs were performed on Illumina HiSeq-2500 machines to produce paired-end reads with ~300 bp insert size. Here we report the release of all raw sequence data to public via OpenWheatBlast website for open access.<br><br>
DOI: 10.6084/m9.figshare.5202451.v2
title: Transcriptome sequencing of infected wheat samples collected during the wheat blast epidemic in Bangladesh in 2017 and release of raw sequence data on OpenWheatBlast website with open access

description: Wheat fields in Bangladesh were again infected by wheat blast fungus (<i>Magnaporthe oryzae</i>) in 2017 growing season, following the epidemic of 2016. Infected wheat samples were collected by Tofazzal Islam and team, and sent to the Sainsbury Laboratory for RNA extraction and sequencing. Library preparation and RNA-Seq sequencing runs were performed on Illumina HiSeq-2500 machines at the Earlham Institute to produce paired-end reads with ~267 bp average insert size. Here we report the release of these data to general public with open access on OpenWheatBlast website.<br>
DOI: 10.6084/m9.figshare.5202442
title: Rachul et al. - Newspaper Article database.xlsx

description: The data are a list of newspaper articles from the top 3 newspapers in Australia, Canada, Ireland, New Zealand, UK, and USA from January 1, 2009 to December 31, 2015. They were retrieved from the Factiva database using the search terms "platelet rich plasma" or "PRP."<br>
DOI: 10.6084/m9.figshare.5202448.v1
title: Bangladesh Field RNA-Seq samples - April, 2016

description: Short sequence reads obtained from RNA extracted from wheat leaf blades from fields infected with wheat blast fungus in Bangladesh during the 2016 epidemics. For each field sample, we generated sequences for a pair of non-symptomatic and symptomatic leaf blades. The reads were obtained using RNA-seq technology. Library preparation and sequencing runs were performed on Illumina HiSeq-2500 machines. They are paired-end reads with ~300 bp insert size.<br>
DOI: 10.6084/m9.figshare.5202427.v1
title: Taller CIALC P.pdf

description: Diapositivas del Curso-Taller: <i>Estrategias de descubrimiento de información académica,</i> impartido en el Centro de Investigaciones en América Latina y el Caribe, UNAM, los días 20, 21 y 27 de junio del 2017.
DOI: 10.6084/m9.figshare.5202421
title: Regional Shelter Analysis For Nuclear Fallout Planning - A Quick Start Guide

description: A Regional Shelter Analysis provides emergency planners and responders with key information to support fallout shelter planning. Regional Shelter Analysis results can be used to (a) characterize the quality of fallout shelters in an area to inform shelter improvement and evacuation planning, (b) support a choice of response strategies, and (c) estimate the radiation exposure to sheltered populations when combined with outdoor radiation estimates.<br><br>This quick-start guide provides an overview of the steps required to (a) set up and (b) interpret the results of a regional shelter analysis for individual neighborhoods.<br><br>The following expertise is required to complete this process:<br>(a) Local building databases (e.g., GIS property specialist),<br>(b) Local building codes and/or construction (e.g. structural engineer), and<br>(c) Emergency response planning.<br><br>THIS GUIDE WAS PUBLISHED IN 2011. WHILE THE GENERAL METHOD REMAINS RELEVANT, THE PFSCREEN MODEL AND RELATED DATA HAS BEEN UPDATED.<br>
DOI: 10.6084/m9.figshare.5202427.v2
title: Taller CIALC-UNAM.pdf

description: Diapositivas del Curso-Taller: <i>Estrategias de descubrimiento de información académica,</i> impartido en el Centro de Investigaciones en América Latina y el Caribe, UNAM, los días 20, 21 y 27 de junio del 2017.
DOI: 10.7910/dvn/erqu9a/ivbid3
title: Sauls - Brazil Coffee Places-1.tab

description: :unav
DOI: 10.7910/dvn/erqu9a/ahil2b
title: Sauls - Brazil Coffee Places.xlsx

description: :unav
DOI: 10.7910/dvn/erqu9a/xi9tgq
title: Sauls. Brazil Coffee Places.xlsx

description: :unav
DOI: 10.7910/dvn/erqu9a/oifldx
title: Sauls - Brazil Coffee Places

description: :unav
DOI: 10.7910/dvn/erqu9a
title: Cultivating Collecting Brazil's Coffee

description: This data set presents places associated with the plantations, railroads, and trade of Brazil's coffee booms, roughly 1830-1850 in Rio de Janeiro area, and 1880-1930 in São Paulo. The dates, when available, are specific to the source material and may only represent the time frame under the study's consideration rather than the entirety of the place's existence/importance. The data set is divided into four categories: "São Paulo Places," "Rio de Janeiro Places," and "Other State Places" - all according to geography. Lastly, "Railroad Places" only indicates which places mentioned in the previous sections were also associated with railroad expansion (at times there are multiple stations in a single municipality) - it does not list the entirety of Brazil's rail system.
DOI: 10.6084/m9.figshare.5200909
title: Paraphelidium tribonemae v1

description: Metatranscriptome of <i>Paraphelidium tribonemae</i> (PRJNA402032) assembled with trinity, cleaned from non-eukaryote sequences using blobtools with the refseq taxonomy affiliation & cleaned from eukaryote contamination with blastp using a custom database with fungi & stramenopiles. 10,669 cleaned peptides predicted with transdecoder and annotated with eggnog-mapper.<br>Version 1.5 contains 10,439 peptides, after removing 230 peptides with high identity (97% to 100%) with <i>Tribonema gayanum</i> RNA-seq (unpublished).
DOI: 10.6084/m9.figshare.5200909.v1
title: Paraphelidium tribonemae v1

description: Metatranscriptome of <i>Paraphelidium tribonemae</i> (PRJNA402032) assembled with trinity, cleaned from non-eukaryote sequences using blobtools with the refseq taxonomy affiliation & cleaned from eukaryote contamination with blastp using a custom database with fungi & stramenopiles. 10,669 cleaned peptides predicted with transdecoder and annotated with eggnog-mapper.<br>Version 1.5 contains 10,439 peptides, after removing 230 peptides with high identity (97% to 100%) with <i>Tribonema gayanum</i> RNA-seq (unpublished).
DOI: 10.6084/m9.figshare.5200813
title: Petrological and geochemical characteristics of the Samar Ophiolite ultramafic section: implications on the origins of the ophiolites in Samar and Leyte islands, Philippines

description: Cretaceous ophiolites and ophiolitic fragments occur in the Samar and Leyte islands in eastern central Philippines. The Samar Ophiolite is a complete crust–mantle sequence exposed in southern Samar, whereas the Tacloban and Malitbog ophiolite complexes are, respectively, located in the northeastern and southwestern portions of the nearby Leyte island. Despite the close proximity of these islands, the genetic relationship of these ophiolites and ophiolitic complexes, if any, remains to be elucidated. We present here new petrographic and geochemical data on the harzburgites and dunites of the ultramafic section of the Samar Ophiolite. These mantle peridotites are highly depleted residues which have low modal pyroxene content, high spinel Cr# (=0.62–0.79), and slightly enriched light rare earth element abundance with depletion in Zr and Ti. Such characteristics are typical of supra-subduction zone peridotites and strongly contrast with the abyssal signatures of the Tacloban and Malitbog ophiolite complexes. The absence of a structure between these adjacent ophiolite fragments initially hints that they form a single oceanic crust. However, with our new results, we suggest other possible mechanisms that could explain the relationship of these ophiolites.
DOI: 10.6084/m9.figshare.5200813.v1
title: Petrological and geochemical characteristics of the Samar Ophiolite ultramafic section: implications on the origins of the ophiolites in Samar and Leyte islands, Philippines

description: Cretaceous ophiolites and ophiolitic fragments occur in the Samar and Leyte islands in eastern central Philippines. The Samar Ophiolite is a complete crust–mantle sequence exposed in southern Samar, whereas the Tacloban and Malitbog ophiolite complexes are, respectively, located in the northeastern and southwestern portions of the nearby Leyte island. Despite the close proximity of these islands, the genetic relationship of these ophiolites and ophiolitic complexes, if any, remains to be elucidated. We present here new petrographic and geochemical data on the harzburgites and dunites of the ultramafic section of the Samar Ophiolite. These mantle peridotites are highly depleted residues which have low modal pyroxene content, high spinel Cr# (=0.62–0.79), and slightly enriched light rare earth element abundance with depletion in Zr and Ti. Such characteristics are typical of supra-subduction zone peridotites and strongly contrast with the abyssal signatures of the Tacloban and Malitbog ophiolite complexes. The absence of a structure between these adjacent ophiolite fragments initially hints that they form a single oceanic crust. However, with our new results, we suggest other possible mechanisms that could explain the relationship of these ophiolites.
DOI: 10.6084/m9.figshare.5198644
title: A systematic review and combined analysis of therapeutic drug monitoring studies for long-acting risperidone

description: <b>Introduction</b>: This systematic review of therapeutic drug monitoring (TDM) identifies three long-acting injectable (LAI) risperidone formulations. <b>Areas covered</b>: Limited data is available on two formulations (RBP-7000 and <i>in Situ</i> Microparticle), but 20 TDM articles on the microsphere formulation were found. Risperidone TDM includes the serum concentrations of risperidone and its active metabolite, 9-hydroxyrisperidone, used for calculating: 1) the risperidone/9-hydroxyrisperidone (R/9-OH-R) ratio (a measure of CYP2D6; values &gt;1 are indicative of a CYP2D6 poor metabolizer) and 2) the total risperidone concentration-to-dose (C/D) ratio (a measure of risperidone clearance with a normal value around 7 in oral risperidone). The weighted mean R/9-OH-R ratio was 0.48 (approximately twice that of oral risperidone TDM) in a combined analysis from 329 patients in 6 risperidone LAI studies without major confounders. The total C/D ratios from 297 patients in 6 risperidone LAI studies ranged from 7.4 to 9.7 ng/ml/mg/day with a weighted mean of 8.8 ng/ml/mg/day. <b>Expert commentary</b>: Clinicians using TDM for risperidone LAI microsphere formulation need to: 1) consider steady state to be reached ≥ 6 weeks after the first injection, 2) pay attention to a) co-medications with inducers/inhibitors, b) severe inflammations/infections, and c) hepatic/renal impairment, and 3) use Castberg’s recommendation to calculate risperidone dosing.