cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10325681
title: Centre du Quebec Forest Plots

description: In Centre du Quebec, we established 395 circular plots (each 201.06 m2) in 42 forest patches across the region. Each forest had between 8 - 14 plots; in each plot, trees greater than 10 cm at 1.3 m (or diameter at breast height, DBH) were identified to species. We harmonized species names using The Plant List with the R package "Taxonstand" (Cayuela et al. 2019).<br><br>In the dataset, we provide the following variables: forest patch id (patch_id), latitude and longitude of the centroid of each patch in degrees (patch_lat_dec, patch_long_dec), patch area in hectares (patch_area_ha), patch perimeter in meters (patch_perim_m), plot id (plot_id), species binomial (spp_binomial), species ID in TPL (TPL_ID), taxonomic status (taxon_status), and species abundance in terms of numbers of individuals (abundance).<br>If you use this dataset, please cite this article as well: D. Craven, E. Filotas, V. A. Angers, C. Messier, Evaluating resilience of tree communities in fragmented landscapes: linking functional response diversity with landscape connectivity. <i>Diversity and Distributions</i> <b>22</b>, 505–518 (2016).
DOI: 10.6084/m9.figshare.10325657
title: Role of Physiological Low Oxygen in Fetoplacental Endothelia

description: Supplemental Table S1. DE-genes between HUAECs and HUVECs in female and male cells cultured under CPN and CH.
DOI: 10.6084/m9.figshare.10325720.v1
title: Supplementary Material_FEED_FAC-B.pdf

description: This is supplementari material for the article entitled "Determination of pesticides and mycotoxins in feed used in intensive dairy farming systems in Argentina". In this file information about the following is provided: instuments experimental conditions used for the determination of mycotoxins and pesticides by LC-MS/MS and GC-MS/MS; the complete list of the analized compounds (pesticides and mycotoxins) and their extraction performance on the recovery assays; and the results of the different mycotoxins and pesticide residues found on each individual analyzed sample.<br>
DOI: 10.6084/m9.figshare.10325657.v1
title: Role of Physiological Low Oxygen in Fetoplacental Endothelia

description: Supplemental Table S1. DE-genes between HUAECs and HUVECs in female and male cells cultured under CPN and CH.
DOI: 10.6084/m9.figshare.10324748
title: Figure 8

description: data for the figure 8
DOI: 10.6084/m9.figshare.10324529
title: Example Input Files for LowPath

description: Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
DOI: 10.6084/m9.figshare.10324748.v2
title: Figure 8

description: data for the figure 8
DOI: 10.6084/m9.figshare.10324748.v1
title: Figure 8

description: data for the figure 8
DOI: 10.6084/m9.figshare.10324514
title: JMB_TD_Supplementary_Material

description: <b>Supplementary Material</b><br>Supplementary Table 1. Voucher information for the investigated herbarium specimens.<br>Supplementary Table 2. Published pollen morphological data of the investigated species of Athrotaxioideae, Cunninghamioideae, Sequoioideae, Taiwanioideae, and Taxodioideae based on light microscopical investigation.<br>Supplementary Figure 1. Schematic drawings of morphological characters.<br><br>Supplementary Figures 2–9. Additional LM and SEM micrographs of acetolysed Athrotaxidoideae, Cunninghamioideae, Sequoioideae, and Taxodioideae pollen.<br>Supplementary Figures 10. LO-pattern comparison.<br><br>
DOI: 10.6084/m9.figshare.10324511
title: RNASeq_Results.xlsx

description: Lambda interferons (IFN-λs) are a major component of the innate immune defense to viruses, bacteria and fungi. In human liver, IFN-λ not only drives antiviral responses, but also promotes inflammation and fibrosis in viral and non-viral diseases. Here we demonstrate that macrophages are primary responders to IFN-λ, uniquely positioned to bridge the gap between IFN-λ producing cells and lymphocyte populations that are not intrinsically responsive to IFN-λ. While CD14+ monocytes do not express the IFN-λ receptor, IFNLR1, sensitivity is quickly gained upon differentiation to macrophages in vitro. IFN-λ stimulates macrophage cytotoxicity and phagocytosis as well as the secretion of pro-inflammatory cytokines and interferon stimulated genes that mediate immune cell chemotaxis and effector functions. In particular, IFN-λ induced CCR5 and CXCR3 chemokines, stimulating T and NK cell migration, as well as subsequent NK cell cytotoxicity. Using immunofluorescence and cell sorting techniques, we confirmed that human liver macrophages expressing CD14 and CD68 are highly responsive to IFN-λ ex vivo. Together, these data highlight a novel role for macrophages in shaping IFN-λ dependent immune responses both directly through pro-inflammatory activity and indirectly by recruiting and activating IFN-λ unresponsive lymphocytes.
DOI: 10.6084/m9.figshare.10324529.v1
title: Exampled Input Files for LowPath

description: Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
DOI: 10.6084/m9.figshare.10324514.v1
title: JMB_TD_Supplementary_Material

description: <b>Supplementary Material</b><br>Supplementary Table 1. Voucher information for the investigated herbarium specimens.<br>Supplementary Table 2. Published pollen morphological data of the investigated species of Athrotaxioideae, Cunninghamioideae, Sequoioideae, Taiwanioideae, and Taxodioideae based on light microscopical investigation.<br>Supplementary Figure 1. Schematic drawings of morphological characters.<br><br>Supplementary Figures 2–9. Additional LM and SEM micrographs of acetolysed Athrotaxidoideae, Cunninghamioideae, Sequoioideae, and Taxodioideae pollen.<br>Supplementary Figures 10. LO-pattern comparison.<br><br>
DOI: 10.6084/m9.figshare.10324487
title: Figure 7

description: data for the Figure 7
DOI: 10.6084/m9.figshare.10324511.v1
title: RNASeq_Results.xlsx

description: Lambda interferons (IFN-λs) are a major component of the innate immune defense to viruses, bacteria and fungi. In human liver, IFN-λ not only drives antiviral responses, but also promotes inflammation and fibrosis in viral and non-viral diseases. Here we demonstrate that macrophages are primary responders to IFN-λ, uniquely positioned to bridge the gap between IFN-λ producing cells and lymphocyte populations that are not intrinsically responsive to IFN-λ. While CD14+ monocytes do not express the IFN-λ receptor, IFNLR1, sensitivity is quickly gained upon differentiation to macrophages in vitro. IFN-λ stimulates macrophage cytotoxicity and phagocytosis as well as the secretion of pro-inflammatory cytokines and interferon stimulated genes that mediate immune cell chemotaxis and effector functions. In particular, IFN-λ induced CCR5 and CXCR3 chemokines, stimulating T and NK cell migration, as well as subsequent NK cell cytotoxicity. Using immunofluorescence and cell sorting techniques, we confirmed that human liver macrophages expressing CD14 and CD68 are highly responsive to IFN-λ ex vivo. Together, these data highlight a novel role for macrophages in shaping IFN-λ dependent immune responses both directly through pro-inflammatory activity and indirectly by recruiting and activating IFN-λ unresponsive lymphocytes.
DOI: 10.6084/m9.figshare.10324529.v2
title: Example Input Files for LowPath

description: Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
DOI: 10.6084/m9.figshare.10324433
title: Figure 6

description: data for the figure 6
DOI: 10.6084/m9.figshare.10324487.v2
title: Figure 7

description: data for the Figure 7
DOI: 10.6084/m9.figshare.10324529.v3
title: Example Input Files for LowPath

description: Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
DOI: 10.6084/m9.figshare.10324487.v1
title: Figure 7

description: data for the Figure 7
DOI: 10.6084/m9.figshare.10324529.v4
title: Example Input Files for LowPath

description: Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
DOI: 10.6084/m9.figshare.10324037
title: Amagmatic subduction

description: source data and matlab script to reproduce the model results
DOI: 10.6084/m9.figshare.10324433.v2
title: Figure 6

description: data for the figure 6
DOI: 10.6084/m9.figshare.10324433.v1
title: Figure 6

description: data for the figure 6
DOI: 10.6084/m9.figshare.10323836
title: Modeled habitat linkages for three wildlife species, along with climate change and land-use change threats

description: Modeled habitat linkages for three wildlife species, along with information about climate change threat, land-use change threat, and existing protection status for each. Species are: American black bear (Ursus americanus americanus), Rafinesque's big-eared bat (Corynorhinus rafinesquii), and timber rattlesnake (Crotalus horridus). These data were produced for, and described in detail by, Costanza et al. in an unpublished manuscript
DOI: 10.6084/m9.figshare.10322114
title: Author eponyms mid-19th century

description: Supplementary files to Breure & Heiberger, 2019. Reconstructing science networks from the past: Eponyms between malacological authors in the mid-19th century. Journal of Historical Network research 3
DOI: 10.6084/m9.figshare.10322021
title: Figure 5

description: data for the figure 5
DOI: 10.23645/epacomptox.10322012
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Consensus models

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Consensus models Set.
DOI: 10.6084/m9.figshare.10322015
title: OXFORD England Monthly and annual mean temperatures 1814 to date.xlsx

description: Dataset of monthly, seasonal and annual mean temperatures, °C, observed at the Radcliffe Observatory in Oxford, England (51.761°N, 1.264°W, 63 m AMSL).<br>For full details of site, instruments, metadata and corrections, see Oxford Weather and Climate since 1767 by Stephen Burt and Tim Burt, Oxford University Press 2019<br>Please include citation if using this dataset<br>Data by courtesy of the School of Geography and the Environment, University of Oxford<br>
DOI: 10.23645/epacomptox.10321994
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Data Associated with Publication

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Data Associated with Publication Set.
DOI: 10.23645/epacomptox.10322012.v1
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Consensus models

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Consensus models Set.
DOI: 10.6084/m9.figshare.10322021.v2
title: Figure 5

description: data for the figure 5
DOI: 10.23645/epacomptox.10321982
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Individual models

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Individual models Set.
DOI: 10.23645/epacomptox.10321994.v1
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Data Associated with Publication

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Data Associated with Publication Set.
DOI: 10.6084/m9.figshare.10322021.v1
title: Figure 5

description: data for the figure 5
DOI: 10.23645/epacomptox.10321982.v1
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Individual models

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Individual models Set.
DOI: 10.23645/epacomptox.10321925
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Evaluation Set

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Evaluation Set.
DOI: 10.23645/epacomptox.10321925.v1
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data: Evaluation Set

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Evaluation Set.
DOI: 10.6084/m9.figshare.10321835
title: Figure 4

description: data for the Figure 4
DOI: 10.6084/m9.figshare.10321835.v2
title: Figure 4

description: data for the Figure 4
DOI: 10.6084/m9.figshare.10321715
title: Figure 3

description: data for the figure 3
DOI: 10.6084/m9.figshare.10321835.v1
title: Figure 4

description: data for the Figure 4
DOI: 10.6084/m9.figshare.10321706
title: SVALCAM auroral data

description: Auroral intensity data from SVALCAM
DOI: 10.6084/m9.figshare.10321715.v1
title: Figure 3

description: data for the figure 3
DOI: 10.23645/epacomptox.10321697
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data:Training Set+Prediction Set

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Training and Prediction Set.
DOI: 10.6084/m9.figshare.10321685
title: SuperDARN data

description: SuperDARN map files. Processed using RST 4.1, FITACF version 2.5.
DOI: 10.23645/epacomptox.10321697.v1
title: CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (COMPARA) Data:Training Set+Prediction Set

description: Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. This link provides the COMPARA Training and Prediction Set.
DOI: 10.6084/m9.figshare.10321676
title: SCANDI data

description: Neutral wind data from the SCANDI SDI (UT's in file go to 12-36 on day before.
DOI: 10.6084/m9.figshare.10321646
title: ESR electron density data

description: Electron density data from the ESR
DOI: 10.6084/m9.figshare.10321646.v1
title: ESR electron density data

description: Electron density data from the ESR
DOI: 10.6084/m9.figshare.10321676.v2
title: SCANDI data

description: Neutral wind data from the SCANDI SDI (UT's in file go to 12-36 on day before.
DOI: 10.6084/m9.figshare.10321595
title: Metadata record for: The odonate phenotypic database, a new open data resource for comparative studies of an old insect order

description: This dataset contains key characteristics about the data described in the Data Descriptor The odonate phenotypic database, a new open data resource for comparative studies of an old insect order. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><b><br></b>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.10321676.v1
title: SCANDI data

description: Neutral wind data from the SCANDI SDI
DOI: 10.6084/m9.figshare.10321517
title: Scripts_R_Desmedt_et_al-2019

description: R scripts for Desmedt et al (2019)<br>
DOI: 10.6084/m9.figshare.10321517.v1
title: Scripts_R_Desmedt_et_al-2019

description: R scripts for Desmedt et al (2019)<br>
DOI: 10.6084/m9.figshare.10321487
title: Table S1.xlsx from Identification of four unconventional kinetoplastid kinetochore proteins KKT22–25 in <i>Trypanosoma brucei</i>

description: All the lists of identified proteins by mass spectrometry
DOI: 10.6084/m9.figshare.10321595.v2
title: Metadata record for: The odonate phenotypic database, a new open data resource for comparative studies of an old insect order

description: This dataset contains key characteristics about the data described in the Data Descriptor The odonate phenotypic database, a new open data resource for comparative studies of an old insect order. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><b><br></b>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.10321487.v1
title: Table S1.xlsx from Identification of four unconventional kinetoplastid kinetochore proteins KKT22–25 in <i>Trypanosoma brucei</i>

description: All the lists of identified proteins by mass spectrometry
DOI: 10.6084/m9.figshare.10321595.v1
title: Metadata record for: The odonate phenotypic database, a new open data resource for comparative studies of an old insect order

description: This dataset contains key characteristics about the data described in the Data Descriptor The odonate phenotypic database, a new open data resource for comparative studies of an old insect order. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.10321007
title: Immunohistochemical expression of EGFR, CD56 and P53 protein as predictors of thyroid cancer aggressiveness(metastasis and invasion) among Sudanese patients

description: This is cross sectional hospital base study.aim to detect immunohisochemistry markers p53,EGFR and CD56 protein expression on thyroid carcinoma sub-types and their relationship to invasive and lymph node metastasis.102 cases of thyroid carcinoma 43 case from follicular carcinoma,43 from papillary carcinoma,five follicular variant papillary carcinoma,seven medullary,and four anaplastic ca cases.the markers applied on tissue micro-array slides 40 core in each slide of 3mm in diameter in size.Ministry of Health of Khartoum state.approved the study.<br>
DOI: 10.6084/m9.figshare.10321007.v1
title: Immunohistochemical expression of EGFR, CD56 and P53 protein as predictors of thyroid cancer aggressiveness(metastasis and invasion) among Sudanese patients

description: This is cross sectional hospital base study.aim to detect immunohisochemistry markers p53,EGFR and CD56 protein expression on thyroid carcinoma sub-types and their relationship to invasive and lymph node metastasis.102 cases of thyroid carcinoma 43 case from follicular carcinoma,43 from papillary carcinoma,five follicular variant papillary carcinoma,seven medullary,and four anaplastic ca cases.the markers applied on tissue micro-array slides 40 core in each slide of 3mm in diameter in size.Ministry of Health of Khartoum state.approved the study.<br>
DOI: 10.6084/m9.figshare.10320983
title: wildtype_parameters

description: Wildtype collagen topology file (.itp) and head link file (.top).
DOI: 10.6084/m9.figshare.10320815
title: DOGDIC_parameters

description: The topology (.itp) file for DOGDIC and head topology link file (.top).
DOI: 10.6084/m9.figshare.10320740
title: amberFF_modified

description: Modified amber99sb-ildn files containing DOGDIC bonded and nonbonded calculations along with atomtype, hydrogen bond basebase and aminoacid.rtp. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px 'Andale Mono'; color: #2fff12; background-color: #000000; background-color: rgba(0, 0, 0, 0.9)} span.s1 {font-variant-ligatures: no-common-ligatures}
DOI: 10.6084/m9.figshare.10320713
title: Longitudinal tree-hole metadata

description: Metadata from year long sampling of 10 tree-holes. Included are the Sequence ID (raw 16S rRNA sequences can be found under European Nucleotide Archive study accession number PRJEB35208). Also given are sample day, tree-hole surface area and volume.
DOI: 10.6084/m9.figshare.10320713.v1
title: Longitudinal tree-hole metadata

description: Metadata from year long sampling of 10 tree-holes. Included are the Sequence ID (raw 16S rRNA sequences can be found under European Nucleotide Archive study accession number PRJEB35208). Also given are sample day, tree-hole surface area and volume.