cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6068096
title: Pseudo-MRI for brain1, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain1); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068096.v1
title: Pseudo-MRI for brain1, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain1); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068093
title: Pseudo-MRI for brain4, right hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain4); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068093.v1
title: Pseudo-MRI for brain4, right hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain4); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068090
title: Concatenated linear and nonlinear transformation for brain2, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068090.v1
title: Concatenated linear and nonlinear transformation for brain2, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068087
title: Pseudo-MRI for brain2, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain2); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068087.v1
title: Pseudo-MRI for brain2, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain2); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068081
title: Pseudo-MRI for brain3, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain3); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068081.v1
title: Pseudo-MRI for brain3, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain3); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068078
title: Pseudo-MRI for brain2, right hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain2); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068078.v1
title: Pseudo-MRI for brain2, right hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain2); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068075
title: Pseudo-MRI for brain3, right hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain3); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068075.v1
title: Pseudo-MRI for brain3, right hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain3); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068072
title: Concatenated linear and nonlinear transformation for brain4, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068072.v1
title: Concatenated linear and nonlinear transformation for brain4, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068069
title: Concatenated linear and nonlinear transformation for brain1, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068069.v1
title: Concatenated linear and nonlinear transformation for brain1, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068066
title: Pseudo-MRI for brain4, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain4); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068066.v1
title: Pseudo-MRI for brain4, left hemisphere (MINC format)

description: Pseudo-MRI was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (brain4); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068057
title: Concatenated linear and nonlinear transformation for brain1, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068057.v1
title: Concatenated linear and nonlinear transformation for brain1, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068054
title: Concatenated linear and nonlinear transformation for brain2, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068054.v1
title: Concatenated linear and nonlinear transformation for brain2, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068051
title: Concatenated linear and nonlinear transformation for brain3, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068051.v1
title: Concatenated linear and nonlinear transformation for brain3, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068048
title: Concatenated linear and nonlinear transformation for brain3, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068048.v1
title: Concatenated linear and nonlinear transformation for brain3, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068045
title: Concatenated linear and nonlinear transformation for brain4, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068045.v1
title: Concatenated linear and nonlinear transformation for brain4, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068039
title: Concatenated linear and nonlinear transformation for brain5, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068039.v1
title: Concatenated linear and nonlinear transformation for brain5, right hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068033
title: Concatenated linear and nonlinear transformation for brain5, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068033.v1
title: Concatenated linear and nonlinear transformation for brain5, left hemisphere

description: Linear and nonlinear transformations were concatenated to create a single transformation to register the atlas to the MRI template; done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068030
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, left hemisphere (MINC format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068030.v1
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, left hemisphere (MINC format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068027
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, right hemisphere (MINC format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the right hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068027.v1
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, right hemisphere (MINC format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the right hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068024
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, left hemisphere (NIfTI format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068024.v1
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, left hemisphere (NIfTI format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068021
title: Pseudo-MRI for Colin27 MRI template, left hemisphere (MINC format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068021.v1
title: Pseudo-MRI for Colin27 MRI template, left hemisphere (MINC format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068018
title: Histologically-derived atlas, left hemisphere (NIfTI format)

description: Histological segmentation of 108 structures for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068018.v1
title: Histologically-derived atlas, left hemisphere (NIfTI format)

description: Histological segmentation of 108 structures for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068015
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, right hemisphere (NIfTI format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the right hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068015.v1
title: Histologically-derived atlas of striatum, globus pallidus, and thalamus, right hemisphere (NIfTI format)

description: Histological segmentation of the striatum, globus pallidus and thalamus for the right hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068009
title: Histologically-derived atlas, left hemisphere (MINC format)

description: Histological segmentation of 108 structures for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068009.v1
title: Histologically-derived atlas, left hemisphere (MINC format)

description: Histological segmentation of 108 structures for the left hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6068006
title: Pseudo-MRI for Colin27 MRI template, right hemisphere (NIfTI format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068006.v1
title: Pseudo-MRI for Colin27 MRI template, right hemisphere (NIfTI format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068003
title: Pseudo-MRI for Colin27 MRI template, left hemisphere (NIfTI format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6068003.v1
title: Pseudo-MRI for Colin27 MRI template, left hemisphere (NIfTI format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6067997
title: Histologically-derived atlas, right hemisphere (NIfTI format)

description: Histological segmentation of 108 structures for the right hemisphere from Chakravarty et al., (2006)
DOI: 10.6084/m9.figshare.6067994
title: Pseudo-MRI for Colin27 MRI template, right hemisphere (MINC format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6067994.v1
title: Pseudo-MRI for Colin27 MRI template, right hemisphere (MINC format)

description: Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
DOI: 10.6084/m9.figshare.6067562
title: Olaparib for the treatment of breast cancer

description: <b>Introduction</b>: Mutations in BRCA1 and BRCA2 genes account for around 2–3% of breast cancer events and more than 10% of triple negative breast cancers. Olaparib (Lynparza®), an orally administered PARP inhibitor, demonstrated clinical benefit in a phase III trial for mutated BRCA-positive HER2 negative metastatic breast cancer. <b>Areas covered</b>: This review gives an overview of available preclinical and clinical data regarding olaparib, including its chemistry, mechanism of action, pharmacokinetics and pharmacodynamics, and evidence supporting antitumor efficacy and safety profile in breast cancer patients. <b>Expert commentary</b>: Olaparib improves progression-free survival in germline BRCA mutated HER2 negative metastatic breast cancer patients as compared to standard chemotherapy, with a manageable toxicity profile. Efficacy is of clinical relevance especially in the context of triple negative breast cancer. However, several aspects, such as sequencing or combination of these agents with other anticancer agents and identification of appropriate biomarkers, still need to be clearly defined.
DOI: 10.6084/m9.figshare.6067562.v1
title: Olaparib for the treatment of breast cancer

description: <b>Introduction</b>: Mutations in BRCA1 and BRCA2 genes account for around 2–3% of breast cancer events and more than 10% of triple negative breast cancers. Olaparib (Lynparza®), an orally administered PARP inhibitor, demonstrated clinical benefit in a phase III trial for mutated BRCA-positive HER2 negative metastatic breast cancer. <b>Areas covered</b>: This review gives an overview of available preclinical and clinical data regarding olaparib, including its chemistry, mechanism of action, pharmacokinetics and pharmacodynamics, and evidence supporting antitumor efficacy and safety profile in breast cancer patients. <b>Expert commentary</b>: Olaparib improves progression-free survival in germline BRCA mutated HER2 negative metastatic breast cancer patients as compared to standard chemotherapy, with a manageable toxicity profile. Efficacy is of clinical relevance especially in the context of triple negative breast cancer. However, several aspects, such as sequencing or combination of these agents with other anticancer agents and identification of appropriate biomarkers, still need to be clearly defined.
DOI: 10.6084/m9.figshare.6067439
title: Um rannsóknarverkefni SamGETA. Forsaga og forsendur

description: In Icelandic, about the research SamGETA<br><br>The citation is:<br>Sigurbjörg Jóhannesdóttir og Allyson Macdonald. (2017, 6. október). <em>Um rannsóknarverkefnið SamGETA. Forsaga og forsendur. </em>Erindi í málstofu SamGETA - Um trú kennara á sameiginlegri getu á nýjum sviðum. Menntakvika, Menntavísindasvið Háskóla Íslands. https://doi.org/10.6084/m9.figshare.6067439
DOI: 10.6084/m9.figshare.6067406
title: Using connectivity to identify climatic drivers of local adaptation: a response to Macdonald et al. (R-scripts)

description: R-scripts<br>BenvBintBootstrap.R : implements the expanded Macdonald's framework as proposed by Prunier and Blanchet (2018). It may be used to compute Benv and Bint beta weights, RSint structure coefficients, as well 95% CI about Benv and Bint as obtained from bootstrap.<br>BenvBintBootstrapPlot.R : used to plot outputs from the BenvBintBoostrap.R function.<br>InteractionPlot.R: used to get both a fan-representation and a surface-representation of a first-order interaction.
DOI: 10.6084/m9.figshare.6067406.v1
title: BenvBint_Rscripts

description: R-scripts<br>BenvBintBootstrap.R : implements the expanded Macdonald's framework as proposed by Prunier and Blanchet (2018). It may be used to compute Benv and Bint beta weights, RSint structure coefficients, as well 95% CI about Benv and Bint as obtained from bootstrap.<br>BenvBintBootstrapPlot.R : used to plot outputs from the BenvBintBoostrap.R function.<br>InteractionPlot.R: used to get both a fan-representation and a surface-representation of a first-order interaction.
DOI: 10.6084/m9.figshare.6067382
title: winddata

description: The dataset includes the wind observed by a Doppler wind lidar and radiosonde.
DOI: 10.6084/m9.figshare.6067379
title: Inertial Gravity Waves Observed by a Doppler Wind LiDAR and their Association with Stratospheric Jets

description: The uploaded data include the winds observed by lidar and radiosonde.
DOI: 10.6084/m9.figshare.6067379.v1
title: Inertial Gravity Waves Observed by a Doppler Wind LiDAR and their Association with Stratospheric Jets

description: The uploaded data include the winds observed by lidar and radiosonde.
DOI: 10.6084/m9.figshare.6067331
title: <i>Proteobacteria</i> and <i>Bacteroidetes</i> are major phyla of filterable bacteria passing through 0.22 μm pore size membrane filter, in Lake Sanaru, Hamamatsu, Japan

description: 141 filterable bacteria that passed through a 0.22 μm pore size filter were isolated from Lake Sanaru in Hamamatsu, Japan. These belonged to <i>Proteobacteria</i>, <i>Bacteroidetes</i>, <i>Firmicutes</i>, or <i>Actinobacteria</i> among which the first two phyla comprised the majority of the isolates. 48 isolates (12 taxa) are candidates assignable to new bacterial species or genera of <i>Proteobacteria</i> or <i>Bacteroidetes</i>.
DOI: 10.6084/m9.figshare.6067331.v1
title: <i>Proteobacteria</i> and <i>Bacteroidetes</i> are major phyla of filterable bacteria passing through 0.22 μm pore size membrane filter, in Lake Sanaru, Hamamatsu, Japan

description: 141 filterable bacteria that passed through a 0.22 μm pore size filter were isolated from Lake Sanaru in Hamamatsu, Japan. These belonged to <i>Proteobacteria</i>, <i>Bacteroidetes</i>, <i>Firmicutes</i>, or <i>Actinobacteria</i> among which the first two phyla comprised the majority of the isolates. 48 isolates (12 taxa) are candidates assignable to new bacterial species or genera of <i>Proteobacteria</i> or <i>Bacteroidetes</i>.
DOI: 10.6084/m9.figshare.6067055
title: Additional file 8: of Combined flow cytometry and high-throughput image analysis for the study of essential genes in Caenorhabditis elegans

description: Breakdown of image analysis protocol for green and red images. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.6067055.v1
title: Additional file 8: of Combined flow cytometry and high-throughput image analysis for the study of essential genes in Caenorhabditis elegans

description: Breakdown of image analysis protocol for green and red images. (XLSX 34 kb)