cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3988809.v1
title: Supplementary Material for: Low Density Lipoprotein Cholesterol and the Outcome of Acute Ischemic Stroke: Results of a Large Hospital-Based Study

description: Studies show inconsistent associations between low-density lipoprotein cholesterol (LDL-C) and stroke outcome. We assessed these associations among patients with first-ever acute ischemic stroke (AIS) in China. Patients with first-ever AIS were categorized into 3 groups: normal LDL, marginally elevated LDL and high LDL - according to the LDL-C values on admission. The outcome measures that were investigated in each group included mortality, dependence and recurrence of vascular events. Patients with high LDL-C had higher mortality rates than did those with normal LDL-C at both 12 and 36 months, but this difference disappeared after adjustment for covariates. There was no difference between groups in mortality at 3 months and dependency or recurrence at 3, 12 or 36 months. LDL-C level was associated with long-term mortality after stroke, but was not an independent prognostic factor.
DOI: 10.7910/dvn/v1rjpf/jjwerx
title: snk20150201_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/qcakuw
title: snk20150807_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987501
title: YorkU.Forest.Oct5-2016.csv - Census 1: Observations in a Forest

description: <b>YORK UNIVERSITY - WEEK 5 FOREST - METADATA</b><b><br></b><b>Overview:</b><b>Purpose:</b>The purpose of this lab was to identify and measure the abundance and diversity of herbaceous plants, woody plants, vertebrates, and invertebrates in a forested area near York University.<b>Observations:</b>The observations were made in four separate sections by four individual groups in parallel: one for observing herbaceous plants, one for woody plants, one for vertebrates, and one for invertebrates. This metadata is separated into four sections accordingly.<b>Location:</b>Observations were made in a woodlot north of York University’s Maloca Community Garden. This is located on the southwest corner of the Keele Campus in Toronto, Ontario, Canada. Longitude and latitude: TBD.<b>Time:</b>Observations were conducted from approximately 3:00PM to 4:45PM EST for a total of a 105 minutes on Wednesday October 5, 2016.<b>Conditions:</b>The lab was conducted on a sunny day with temperatures around 19°C. No clouds were seen. <b>Data Collectors (Lab 08 Group 01):</b>Kathleen Gatdula, Yaakov Green, Christina Leung, Mariam Maasarany, Nawang Yanga<br>Due to limitations on the length of this description, metadata can be found on the PDF attachment.
DOI: 10.7910/dvn/v1rjpf/ode0nv
title: snk20161127_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/dv0rcg
title: snk20150106_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987501.v2
title: YorkU.Forest.Oct5-2016.csv - Census 1: Observations in a Forest

description: <b>YORK UNIVERSITY - WEEK 5 FOREST - METADATA</b><b><br></b><b>Overview:</b><b>Purpose:</b>The purpose of this lab was to identify and measure the abundance and diversity of herbaceous plants, woody plants, vertebrates, and invertebrates in a forested area near York University.<b>Observations:</b>The observations were made in four separate sections by four individual groups in parallel: one for observing herbaceous plants, one for woody plants, one for vertebrates, and one for invertebrates. This metadata is separated into four sections accordingly.<b>Location:</b>Observations were made in a woodlot north of York University’s Maloca Community Garden. This is located on the southwest corner of the Keele Campus in Toronto, Ontario, Canada. Longitude and latitude: TBD.<b>Time:</b>Observations were conducted from approximately 3:00PM to 4:45PM EST for a total of a 105 minutes on Wednesday October 5, 2016.<b>Conditions:</b>The lab was conducted on a sunny day with temperatures around 19°C. No clouds were seen. <b>Data Collectors (Lab 08 Group 01):</b>Kathleen Gatdula, Yaakov Green, Christina Leung, Mariam Maasarany, Nawang Yanga<br>Due to limitations on the length of this description, metadata can be found on the PDF attachment.
DOI: 10.7910/dvn/v1rjpf/x9vdci
title: snk20160612_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987501.v1
title: YorkU.Forest.Oct5-2016.csv - Census 1: Observations in a Forest

description: <b>YORK UNIVERSITY - WEEK 5 FOREST - METADATA</b><b><br></b><b>Overview:</b><b>Purpose:</b>The purpose of this lab was to identify and measure the abundance and diversity of herbaceous plants, woody plants, vertebrates, and invertebrates in a forested area near York University.<b>Observations:</b>The observations were made in four separate sections by four individual groups in parallel: one for observing herbaceous plants, one for woody plants, one for vertebrates, and one for invertebrates. This metadata is separated into four sections accordingly.<b>Location:</b>Observations were made in a woodlot north of York University’s Maloca Community Garden. This is located on the southwest corner of the Keele Campus in Toronto, Ontario, Canada. Longitude and latitude: TBD.<b>Time:</b>Observations were conducted from approximately 3:00PM to 4:45PM EST for a total of a 105 minutes on Wednesday October 5, 2016.<b>Conditions:</b>The lab was conducted on a sunny day with temperatures around 19°C. No clouds were seen. <b>Data Collectors (Lab 08 Group 01):</b>Kathleen Gatdula, Yaakov Green, Christina Leung, Mariam Maasarany, Nawang Yanga
DOI: 10.6084/m9.figshare.3987420
title: The role of three heat shock protein genes in the immune response to Aeromonas hydrophila challenge in marbled eel, Anguilla marmorata

description: Real-time fluorescent quantitative-PCR was used to evaluate tissue-specific distribution and mRNA expression levels of three Amhsps subjected to the infection with Aeromonas hydrophila. The mRNA expression three Amhsps in eight tested tissues, including liver, heart, muscle, gill, spleen, kidney, brain and intestine tissues of A. marmorata was evaluated to reveal the major expression distribution in liver, intestine, muscle and heart. After pathogen challenge treatments, mRNA transcriptions of three Amhsps revealed a significant regulation at various time points in the same tissue.The expression level of Amhsps was calculated by 2<sup>− </sup><sup> ΔΔ</sup><sup>C</sup><sup>T</sup> method and subjected to statistical analysis.
DOI: 10.6084/m9.figshare.3987420.v1
title: The role of three heat shock protein genes in the immune response to Aeromonas hydrophila challenge in marbled eel, Anguilla marmorata

description: Real-time fluorescent quantitative-PCR was used to evaluate tissue-specific distribution and mRNA expression levels of three Amhsps subjected to the infection with Aeromonas hydrophila. The mRNA expression three Amhsps in eight tested tissues, including liver, heart, muscle, gill, spleen, kidney, brain and intestine tissues of A. marmorata was evaluated to reveal the major expression distribution in liver, intestine, muscle and heart. After pathogen challenge treatments, mRNA transcriptions of three Amhsps revealed a significant regulation at various time points in the same tissue.The expression level of Amhsps was calculated by 2<sup>− </sup><sup> ΔΔ</sup><sup>C</sup><sup>T</sup> method and subjected to statistical analysis.
DOI: 10.7910/dvn/v1rjpf/jyty4k
title: snk20160225_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987396
title: YorkU Keele Campus BIOL2050 Ecology Network: Observing Plants, Vertebrates, and Invertebrates in Forest Habitat

description: The data was collected on the west side of York University’s Keele Campus on October 5, 2016, in a forested area for approximately 2 hours in total. The weather was sunny with a slight breeze (a 1 on the Beaufort scale). The data was collected by Lauren Cunningham, Samina Munawar, Erin O’Connor, Fatima Zia.Please see the Meta-Data of each Dataset in the attached word document file.
DOI: 10.7910/dvn/v1rjpf/tctrhd
title: snk20150726_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987396.v2
title: YorkU Keele Campus BIOL2050 Ecology Network: Observing Plants, Vertebrates, and Invertebrates in Forest Habitat

description: The data was collected on the west side of York University’s Keele Campus on October 5, 2016, in a forested area for approximately 2 hours in total. The weather was sunny with a slight breeze (a 1 on the Beaufort scale). The data was collected by Lauren Cunningham, Samina Munawar, Erin O’Connor, Fatima Zia.Please see the Meta-Data of each Dataset in the attached word document file.
DOI: 10.7910/dvn/v1rjpf/qulh1i
title: snk20150412_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987396.v1
title: YorkU Keele Campus BIOL2050 Ecology Network: Observing Plants, Vertebrates, and Invertebrates in Forest Habitat

description: The data was collected on the west side of York University’s Keele Campus on October 5, 2016, in a forested area for approximately 2 hours in total. The weather was sunny with a slight breeze (a 1 on the Beaufort scale). The data was collected by Lauren Cunningham, Samina Munawar, Erin O’Connor, Fatima Zia.
DOI: 10.7910/dvn/v1rjpf/k0l2r7
title: snk20150610_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/qszjdc
title: snk20160128_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nvrrft
title: snk20150307_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/udq49k
title: snk20150520_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/lmrof6
title: snk20150903_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/2zmmam
title: snk20160406_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987333.v1
title: Herpetofauna_Exotica.xls

description: Dados dos pontos de coleta amostrados
DOI: 10.7910/dvn/v1rjpf/1i2jxf
title: snk20150612_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987333.v2
title: Teste.xls

description: Dados dos pontos de coleta amostrados
DOI: 10.7910/dvn/v1rjpf/yqefey
title: snk20160801_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/uoml2p
title: snk20151222_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/trfwrz
title: snk20161203_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987267
title: A gravity-derived Moho model for South America: source code, data, and model results from "Fast non-linear gravity inversion in spherical coordinates with application to the South American Moho"

description: Published in the Geophysical Journal International: https://doi.org/10.1093/gji/ggw390<br><br>The gravity-derived Moho model for South America is in file model/south-american-moho.txt<br>The image file "south-american-moho.png" is a preview of the model along side the differences between our model and the seismological estimates of Assumpção et al. (2013, http://dx.doi.org/10.1016/j.tecto.2012.11.014). In this figure, dotted lines represent the boundaries between major geologic provinces. AD: Andean Province, AFB: Andean foreland basins, AM: Amazonas Basin, BR: Brazilian Shield, BO: Borborema province, CH: Chaco Basin, GB: Guyana Basin, GU: Guyana Shield, PB: Parnaíba Basin, PC: Parecis Basin, PR: Paraná Basin, PT: Patagonia province, SF: São Francisco Craton, SM: Solimões Basin. Solid orange lines mark the limits of the main lithospheric plates. AF: Africa Plate, AN: Antarctica Plate, CA: Caribbean Plate, CO: Cocos Plate, SA: South America Plate, SC: Scotia Plate, NZ: Nazca Plate. The solid light grey line is the 35 km Moho depth contour.<br>This is snapshot of the git repository hosted on Github: https://github.com/pinga-lab/paper-moho-inversion-tesseroids<br>See file README.md for information about running the code and reproducing the rests.<br>An open-access postprint PDF of the article can be found at:https://doi.org/10.31223/osf.io/9ba4m<br>All source code is available under the BSD 3-clause license (see LICENSE.md). The model results in file model/south-american-moho.txt are available under the Creative Commons Attribution 4.0 License (CC-BY).
DOI: 10.7910/dvn/v1rjpf/zpiqfm
title: snk20151212_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/kg1ekj
title: snk20160823_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/hbaou6
title: snk20161016_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nsuwxz
title: snk20150619_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987105
title: Quantitative structure–mesothelioma potency model optimization for complex mixtures of elongated particles in rat pleura: A retrospective study

description: Cancer potencies of mineral and synthetic elongated particle mixtures, including asbestos fibers, are influenced by changes in fiber dose composition, bioavailability, and biodurability in combination with relevant cytotoxic dose-response relationships. An extensive rat intrapleural dose characterization data set with a wide variety of elongated particles physicochemical properties facilitated statistical analyses of pleural mesothelioma response data combined from several studies for evaluation of alternative dose-response models. Utilizing logistic regression of individual elongated particle dimensional variations within each test sample, four major findings emerged: (1) Mild acid leaching provides superior prediction of tumor incidence compared to samples that were not leached; (2) sum of the elongated particle surface areas from mildly acid-leached samples provides the optimum holistic dose-response model; (3) progressive removal of dose associated with very short and/or thin elongated particles significantly degrades the resultant particle count and surface area dose-based predictive model fits; and (4) alternative biologically plausible model adjustments provide evidence for reduced potency of elongated particles with aspect ratios less than 8 and lengths greater than 80 µm. Regardless of these adjustments, the optimum predictive models strongly incorporate potency attributable to abundant short elongated particles in proportion to their surface area. Transmission electron microscopy analyses of low-temperature-ashed pleural membrane and lung tissues 5.5 mo post intrapleural exposures do not support hypotheses that short elongated particles that reach the pleural space are rapidly eliminated. Low-aspect-ratio elongated particles were still abundant in pleural membrane tissues but may have reduced potencies due to aggregation tendencies and therefore lower potential for intracellular presence.
DOI: 10.6084/m9.figshare.3987105.v1
title: Quantitative structure–mesothelioma potency model optimization for complex mixtures of elongated particles in rat pleura: A retrospective study

description: Cancer potencies of mineral and synthetic elongated particle mixtures, including asbestos fibers, are influenced by changes in fiber dose composition, bioavailability, and biodurability in combination with relevant cytotoxic dose-response relationships. An extensive rat intrapleural dose characterization data set with a wide variety of elongated particles physicochemical properties facilitated statistical analyses of pleural mesothelioma response data combined from several studies for evaluation of alternative dose-response models. Utilizing logistic regression of individual elongated particle dimensional variations within each test sample, four major findings emerged: (1) Mild acid leaching provides superior prediction of tumor incidence compared to samples that were not leached; (2) sum of the elongated particle surface areas from mildly acid-leached samples provides the optimum holistic dose-response model; (3) progressive removal of dose associated with very short and/or thin elongated particles significantly degrades the resultant particle count and surface area dose-based predictive model fits; and (4) alternative biologically plausible model adjustments provide evidence for reduced potency of elongated particles with aspect ratios less than 8 and lengths greater than 80 µm. Regardless of these adjustments, the optimum predictive models strongly incorporate potency attributable to abundant short elongated particles in proportion to their surface area. Transmission electron microscopy analyses of low-temperature-ashed pleural membrane and lung tissues 5.5 mo post intrapleural exposures do not support hypotheses that short elongated particles that reach the pleural space are rapidly eliminated. Low-aspect-ratio elongated particles were still abundant in pleural membrane tissues but may have reduced potencies due to aggregation tendencies and therefore lower potential for intracellular presence.
DOI: 10.7910/dvn/v1rjpf/gctfqk
title: snk20151226_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987093
title: Ab initio predicted proteins of the whale shark (Rhincodon typus) from the draft genome (version 1)

description: Predicted proteins determined ab initio using Augustus for the whale shark genome version 1 (GenBank accession LVEK00000000).
DOI: 10.7910/dvn/v1rjpf/pnpydr
title: snk20160707_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987096.v1
title: Soil moisture map of Ukraine obtained from SMAP satellite data

description: Comparison of soil moisture map, obtained from SMAP satellite data and ground measurements of precipitation over the week from gauging stations<br>
DOI: 10.7910/dvn/v1rjpf/6r0bgu
title: snk20160125_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3987093.v2
title: Ab initio predicted proteins of the whale shark (Rhincodon typus) from the draft genome (version 1)

description: Predicted proteins determined ab initio using Augustus for the whale shark genome version 1 (GenBank accession LVEK00000000).
DOI: 10.6084/m9.figshare.3987093.v1
title: LVEK00000000.predicted-genes.faa

description: Predicted proteins determined ab initio using Augustus for the whale shark genome version 1 (GenBank accession LVEK00000000).
DOI: 10.7910/dvn/v1rjpf/0wtsuz
title: snk20150225_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3985722
title: Grasslands Data set

description: This data set includes a variety of species some known and other unknown. Using a random number generator the coordinates in the grassland were determined. For each quadrat the species of plant was recorded along with the percent of the quadrat it took up, the number of individuals of each species, and whether the species was a grass. This was repeated for 12 quadrats.
DOI: 10.6084/m9.figshare.3987096.v2
title: Soil moisture maps of Ukraine obtained from SMAP satellite data

description: Comparison of soil moisture map, obtained from SMAP satellite data and ground measurements of precipitation over the week from gauging stations<br>
DOI: 10.6084/m9.figshare.3985722.v1
title: Grasslands Data set

description: This data set includes a variety of species some known and other unknown. Using a random number generator the coordinates in the grassland were determined. For each quadrat the species of plant was recorded along with the percent of the quadrat it took up, the number of individuals of each species, and whether the species was a grass. This was repeated for 12 quadrats.
DOI: 10.7910/dvn/v1rjpf/a9czj6
title: snk20161020_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/znthdx
title: snk20160918_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3985701
title: Grassland data set 1 - mtea data.csv

description: The tall grass across from the flag pole serves as the origin for this data set. We then walk up and down the path horizontal to the origin which is our x-axis and into the grass-lot vertical to the origin which is our y-axis. We do this while we pick a random set of coordinates between (0,0) steps and (75,75) steps and set our quadrate. We then name the plant species in the point based on flower (if any) color, petal number, shape and size, leaf color, number, shape and size and stem color, circumference and height. Next divide the quadrat into 4 parts and find the number of individual species by tallying up the estimated number of stems each species has in the 4 given squares. Once done use the 4 square method to estimate the total percent of coverage each species has in the given quadrat. Be sure to look at the quadrat from multiple angles in order to get a more precise estimate. Lastly determine if a species is a grass or not based on whether or not it is flat and skinny and has no bristles. Once done, rinse and repeat until you have about 12 quadrates in total.<br>
DOI: 10.6084/m9.figshare.3987096.v3
title: Soil moisture maps of Ukraine obtained from SMAP satellite data

description: Comparison of soil moisture map, obtained from SMAP satellite data and ground measurements of precipitation over the week from gauging stations<br>
DOI: 10.7910/dvn/v1rjpf/vbqb4u
title: snk20150109_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3985698
title: aster flower- 10%2F5 - Raw data.csv

description: Starting from an origin, a transect was decided using a random sampling method. Our group performed a research this October the 5<sup>th</sup> 2016 in the forest on the northeast side of NECC in the Haverhill campus, we chose the aster flower plant. We all picked different plants of the same species and counted all of their leaves and flowers. We made sure that we recorded the height of the plant, the distance from the point of origin and how crowded they were individually. The aster plant grows natively in North America which made it a really good pick for the group to study. The scientific name of our plant is Aster divaricatus (Eurybia divaricata), white wood aster. The idea is to analyze and study the interactions among our plant and the environment in which it’s currently found. We focused on the life processes, interactions, and adaptations of the aster and the abundance and distribution of the same.
DOI: 10.7910/dvn/v1rjpf/4iufcj
title: snk20161226_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3985698.v1
title: aster flower- 10%2F5 - Raw data.csv

description: Starting from an origin, a transect was decided using a random sampling method. Our group performed a research this October the 5<sup>th</sup> 2016 in the forest on the northeast side of NECC in the Haverhill campus, we chose the aster flower plant. We all picked different plants of the same species and counted all of their leaves and flowers. We made sure that we recorded the height of the plant, the distance from the point of origin and how crowded they were individually. The aster plant grows natively in North America which made it a really good pick for the group to study. The scientific name of our plant is Aster divaricatus (Eurybia divaricata), white wood aster. The idea is to analyze and study the interactions among our plant and the environment in which it’s currently found. We focused on the life processes, interactions, and adaptations of the aster and the abundance and distribution of the same.
DOI: 10.7910/dvn/v1rjpf/nhaomx
title: snk20151031_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/vhddmx
title: snk20151007_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/22mqeb
title: snk20160108_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3985686
title: Woodlot data set 4

description: The data collected was on one species of tree, the white pine tree. To collect this data one transect was randomly chosen off of a path in the woodlot on NECC Haverhill campus. This transect was followed and as adult white pine trees were located the data was collected on the cbh, canopy cover, and distance to nearest sapling. The cbh and canopy cover data was also collected for each sapling. This was repeated until ten pairs were found.
DOI: 10.7910/dvn/v1rjpf/i4d7n8
title: snk20160111_03.txt.gz

description: :unav