cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1492978
title: Left Atrial Segmentation Challenge 2013: MRI training

description: This fileset is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). LASC'13 was part of the STACOM'13 workshop, held in conjunction with MICCAI'13. Seven international research groups, comprising 11 algorithms, participated in the challenge. For a detailed report, please refer to: Tobon-Gomez C, Geers AJ, Peters, J, Weese J, Pinto K, Karim R, Ammar M, Daoudi A, Margeta J, Sandoval Z, Stender B, Zheng Y, Zuluaga, MA, Betancur J, Ayache N, Chikh MA, Dillenseger J-L, Kelm BM, Mahmoudi S, Ourselin S, Schlaefer A, Schaeffter T, Razavi R, Rhode KS. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460–1473, 2015. The challenge is also featured on http://www.cardiacatlas.org/challenges/left-atrium-segmentation-challenge/The data and code of the challenge have been made publicly available to serve as a benchmark for left atrial segmentation algorithms. Code is hosted on https://github.com/catactg/lasc Feel free to contact us with any questions. This fileset consists of 10 MRI datasets for training segmentation algorithms. Included are the image and GT segmentation. gt_binary.mhd + gt_binary.raw: Binary image representation of GT image.mhd + image.raw: Image for training
DOI: 10.6084/m9.figshare.1492974
title: Left Atrial Segmentation Challenge 2013: MRI results

description: This fileset is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). LASC'13 was part of the STACOM'13 workshop, held in conjunction with MICCAI'13. Seven international research groups, comprising 11 algorithms, participated in the challenge. For a detailed report, please refer to: Tobon-Gomez C, Geers AJ, Peters, J, Weese J, Pinto K, Karim R, Ammar M, Daoudi A, Margeta J, Sandoval Z, Stender B, Zheng Y, Zuluaga, MA, Betancur J, Ayache N, Chikh MA, Dillenseger J-L, Kelm BM, Mahmoudi S, Ourselin S, Schlaefer A, Schaeffter T, Razavi R, Rhode KS. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460–1473, 2015. The challenge is also featured on http://www.cardiacatlas.org/challenges/left-atrium-segmentation-challenge/The data and code of the challenge have been made publicly available to serve as a benchmark for left atrial segmentation algorithms. Code is hosted on https://github.com/catactg/lasc Feel free to contact us with any questions. This fileset consists of results from algorithms evaluated during LASC'13. Included are the binary mask provided by the participant and the output files of lasc/code/lasc_benchmark.py in the code repository. dm_body.csv: Dice metric of the LA body dm_pvs.csv: Dice metric of the PVs mask.mhd + mask.raw: Binary mask provided by segmentation algorithm mesh.vtp: Surface mesh extracted from mask.mhd using marching cubes s2s_body.csv: Surface-to-surface metric of the LA body s2s_pvs.csv: Surface-to-surface metric of the PVs std_gt2seg.vtp: Surface mesh with distance from GT to segmentation (as pointdata array) std_mesh.vtp: Surface mesh after standardisation std_seg2gt.vtp: Surface mesh with distance from segmentation to GT (as pointdata array) std.mhd + std.zraw: Image representation of segmentation with labels copied from std_mesh.vtp
DOI: 10.6084/m9.figshare.1492930
title: Fileset: PONE-D-15-12289

description: Data set to accompany PONE-D-15-12289, "Interactions between a candidate gene for migration (ADCYAP1), morphology and sex predict spring arrival in Blackap populations"<br> Authors: R. Mettler, G. Segelbacher, H.M. SchaeferPublished: December 18, 2015DOI: 10.1371/journal.pone.0144587
DOI: 10.6084/m9.figshare.1492900
title: Modified IPT

description: Inference Processing Task for Jaeger et al. (in press)
DOI: 10.6084/m9.figshare.1492900.v1
title: Modified IPT

description: Inference Processing Task for Jaeger et al. (in press)
DOI: 10.6084/m9.figshare.1492930.v1
title: Fileset: PONE-D-15-12289

description: Data set to accompany PONE-D-15-12289, "Interactions between a candidate gene for migration (ADCYAP1), morphology and sex predict spring arrival in Blackap populations"<br> Authors: R. Mettler, G. Segelbacher, H.M. SchaeferPublished: December 18, 2015DOI: 10.1371/journal.pone.0144587
DOI: 10.6084/m9.figshare.1492974.v1
title: Left Atrial Segmentation Challenge 2013: MRI results

description: This dataset is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). For a detailed report on the challenge, please refer to: Tobon-Gomez C, Geers AJ, Peters, J, Weese J, Pinto K, Karim R, Ammar M, Daoudi A, Margeta J, Sandoval Z, Stender B, Zheng Y, Zuluaga, MA, Betancur J, Ayache N, Chikh MA, Dillenseger J-L, Kelm BM, Mahmoudi S, Ourselin S, Schlaefer A, Schaeffter T, Razavi R, Rhode KS. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460–1473, 2015. The data and code of the challenge have been made publicly available to serve as a benchmark for left atrial segmentation algorithms. Code is hosted on github.com/catactg/lasc
DOI: 10.6084/m9.figshare.1492508
title: Data from Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492502
title: Data from Study 1: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from Study 1: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492503
title: Study 2: Timing of Disclosure Videoclip 2

description: Data from Study 2 from Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492503.v1
title: Study 2: Timing of Disclosure Videoclip 2

description: Data from Study 2 from Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492974.v2
title: Left Atrial Segmentation Challenge 2013: MRI results

description: This dataset is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). For a detailed report on the challenge, please refer to: Tobon-Gomez C, Geers AJ, Peters, J, Weese J, Pinto K, Karim R, Ammar M, Daoudi A, Margeta J, Sandoval Z, Stender B, Zheng Y, Zuluaga, MA, Betancur J, Ayache N, Chikh MA, Dillenseger J-L, Kelm BM, Mahmoudi S, Ourselin S, Schlaefer A, Schaeffter T, Razavi R, Rhode KS. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460–1473, 2015. The data and code of the challenge have been made publicly available to serve as a benchmark for left atrial segmentation algorithms. Code is hosted on github.com/catactg/lasc
DOI: 10.6084/m9.figshare.1492501
title: Data from the prestudy: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from the prestudy: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492502.v1
title: Data from Study 1: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from Study 1: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492500
title: Data from memory of sexual orientation disclosure exploratory study: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from memory of sexual orientation disclosure exploratory study: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492508.v1
title: Data from Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492497
title: Soil organic carbon data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: Data described at: https://github.com/maupson/research_data/tree/master/silsoe/silsoe_soil_organic_carbon
DOI: 10.6084/m9.figshare.1492498
title: Fine root length data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: Data described at: https://github.com/maupson/research_data/tree/master/silsoe/silsoe_fine_root_length
DOI: 10.6084/m9.figshare.1492495
title: Sizing nanomaterials in bio-fluids by cFRAP enables protein aggregation measurements and diagnosis of bio-barrier permeability User's code guide

description: In this guide it is explained how to use the custom written Matlab code for analysis of FRAP recovery images and to obtain the diffusion coefficient or size distributions. The user’s guide includes the following sections: description of the structure of the main code, the procedure for adding the cFRAP code to the Matlab program, examples on simulated and experimental FRAP images.
DOI: 10.6084/m9.figshare.1492500.v1
title: Data from memory of sexual orientation disclosure exploratory study: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from memory of sexual orientation disclosure exploratory study: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492501.v1
title: Data from the prestudy: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One

description: Data from the prestudy: Dane et al. (2015). When "in your face" is not out of place: The effect of timing of disclosure of a same-sex dating partner under conditions of contact. Plos One
DOI: 10.6084/m9.figshare.1492495.v1
title: Sizing nanomaterials in bio-fluids by cFRAP enables protein aggregation measurements and diagnosis of bio-barrier permeability User's code guide

description: In this guide it is explained how to use the custom written Matlab code for analysis of FRAP recovery images and to obtain the diffusion coefficient or size distributions. The user’s guide includes the following sections: description of the structure of the main code, the procedure for adding the cFRAP code to the Matlab program, examples on simulated and experimental FRAP images.
DOI: 10.6084/m9.figshare.1492498.v3
title: Fine root length data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: Data described at: https://github.com/maupson/research_data/tree/master/silsoe/silsoe_fine_root_length
DOI: 10.6084/m9.figshare.1492474
title: Teakettle charcoal data

description: C and N concentrations for charcoal macroparticles (&gt;2mm) collected within burn and control treatments at the Teakettle Experimental Forest.
DOI: 10.6084/m9.figshare.1492497.v2
title: Soil organic carbon data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: These data describe organic carbon content and soil bulk density measurements taken at a site in Bedfordshire, England in 2011, described in: Upson, M.A. & Burgess, P.J., 2013. Soil organic carbon and root distribution in a temperate arable agroforestry system. Plant and Soil, 373(1-2), pp.43–58. The samples were collected by Matthew Upson as part of an MSc by research at Cranfield University in 2010-2011. The field site was Olney field, Silsoe, Bedfordshire (N52°0'8.06" W0°25'46.80": http://g.co/maps/5bnxx) at the Cranfield experimental farm. Samples were taken from an agroforestry experiment described in: Burgess PJ, Incoll LD, Corry DT, Beaton A, Hart BJ (2005) Poplar (Populus spp) growth and crop yields in a silvoarable experiment at three lowland sites in England. Agrofor Syst 63:157–169 Burgess, P.J. et al., 2003. The Impact of Silvoarable Agroforestry with Poplar on Farm Profitability and Biological Diversity Final Report to DEFRA, Silsoe: Institute of Water and Environment, Cranfield University. The data comprise 10 columns describing 216 measurements of soil organic carbon content, and associated bulk density measurements. Organic carbon was measured using a modified Walkley-Black method. See journal citation for details. year: Single integer 2011 ID: Code indentifying individual trees in the experiment closest to the soil carbon measurements. e.g.: 1CB4: Block one, Cropped treatment, Beaupre hybrid, tree 4. See Upson & Burgess (2013). block: Following the original experimental design, there are three replicate blocks (B1:B3). ctrltmt: This column describes whether the sample was taken from the silvoarable agroforestry experiment (tmt), or from surrounding arable controls (ctrl). treat: Cropping treatment. Either C for continuously cropped, or F for continously Fallow. dist_m: Distance of sample from sample tree in metres. depth_cm: Depth from which the sample was taken in cm: 5, 16, 30, 50, 83, 128. di_cm: Depth of assumed sampling increment centred on the sampling depth. OCC_g_100g: Uncorrected organic carbon content as determined by a modified Walkley Black dichromate digest. Presented as grams per 100 grams. BD_g_cm3: Soil bulk density, in grams per centimetre cubed. measured using the ring method described by Klute, A. (1986) Methods of Soil Analysis: Part 1 - Physical and Mineralogical Methods. 2nd edn. Wisconsin: American Society of Agronomy.
DOI: 10.6084/m9.figshare.1492498.v2
title: Fine root length data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: Data desscribed at: https://github.com/maupson/research_data/tree/master/silsoe/silsoe_fine_root_length
DOI: 10.6084/m9.figshare.1492474.v1
title: Teakettle charcoal data

description: C and N concentrations for charcoal macroparticles (&gt;2mm) collected within burn and control treatments at the Teakettle Experimental Forest.
DOI: 10.6084/m9.figshare.1492404
title: Staphylococcus aureus strain JLA513 draft genome

description: <em>Staphylococcus aureus</em> strain JLA513 draft genome assembled using SPAdes.
DOI: 10.6084/m9.figshare.1492431
title: pairs_metadata

description: Lists, for all strains in the study, the ENA/ERS accessions (to access read data, assembly+annotation respectively) of the blood and CSF isolate, and the bacterial species they correspond to
DOI: 10.6084/m9.figshare.1492497.v4
title: Soil organic carbon data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: Data described at: https://github.com/maupson/research_data/tree/master/silsoe/silsoe_soil_organic_carbon
DOI: 10.6084/m9.figshare.1492404.v1
title: Staphylococcus aureus strain JLA513 draft genome

description: <em>Staphylococcus aureus</em> strain JLA513 draft genome assembled using SPAdes.
DOI: 10.6084/m9.figshare.1492403
title: User's guid for Matlab code of cFRAP

description: In this guide it is explained how to use the custom written Matlab code for analysis of FRAP recovery images and to obtain the diffusion coefficient or size distributions. The user’s guide includes the following sections: description of the structure of the main code, the procedure for adding the cFRAP code to the Matlab program, examples on simulated and experimental FRAP images.
DOI: 10.6084/m9.figshare.1492352
title: RVIP fMRI project

description: Files from the PLOS ONE article Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study (PONE-D-14-017) For further details, contact chris.neale@york.ac.uk
DOI: 10.6084/m9.figshare.1492497.v5
title: Soil organic carbon data from: Soil organic carbon and root distribution in a temperate arable agroforestry system

description: Data described at: https://github.com/maupson/research_data/tree/master/silsoe/silsoe_soil_organic_carbon
DOI: 10.6084/m9.figshare.1492351
title: HELCATS HCME_WP2_V02

description: The FP7 Heliospheric Cataloguing, Analysis and Technique Service (HELCATS) project capitalises on European expertise in heliospheric imaging built up over the last decade, particularly by lead involvement in NASA’s STEREO mission, whilst also exploiting the vast wealth of long established European expertise in such areas as solar and coronal imaging, as well as the interpretation of in-situ and radio measurements of solar wind phenomena. The HCME_WP2 is a catalogue of manually identified CME events observed by the STEREO A and B heliospheric imaging cameras. This catalogue underpins the other work within the project by providing a complete list of CMEs detected by HI. These are then assessed and modelled using different techniques as part of other work packages within the project. Version 02 of this catalogue is the first formal release and covers the period from April 2007 to December 2013. Event IDs are tied to the corresponding event and will not change in future versions even if events are added or removed.
DOI: 10.6084/m9.figshare.1492347
title: Covariate RVIP analysis

description: Files for convariate analysis from research paper PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492431.v1
title: pairs_metadata

description: Lists, for all strains in the study, the ENA accessions (to access read data) of the blood and CSF isolate, and the bacterial species they correspond toThe assembled, gene-called and annotated genomes referred to are available at DOI: 10.6084/m9.figshare.2063727
DOI: 10.6084/m9.figshare.1492329
title: Commonality C T RVIP analysis

description: Files for commonality contrast Control &gt; Baseline PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492345
title: Commonality T C RVIP analysis

description: Files for commonality contrast between task &gt; control PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492268
title: Model C B

description: Files for the Control &gt; Baseline contrast PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492352.v2
title: RVIP fMRI project

description: Files from the PLOS ONE article Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study (PONE-D-14-017) For further details, contact chris.neale@york.ac.uk
DOI: 10.6084/m9.figshare.1492329.v1
title: Commonality C T RVIP analysis

description: Files for commonality contrast Control &gt; Baseline PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492352.v1
title: RVIP fMRI project

description: Files from the PLOS ONE article Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study (PONE-D-14-017) For further details, contact chris.neale@york.ac.uk
DOI: 10.6084/m9.figshare.1492268.v1
title: Model C B

description: Files for the Control &gt; Baseline contrast PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492345.v2
title: Commonality T C RVIP analysis

description: Files for commonality contrast between task &gt; control PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492253
title: Model C T

description: Files for the control &gt; task contrast PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492347.v2
title: Covariate RVIP analysis

description: Files for convariate analysis from research paper PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492239
title: Model TB

description: Model data for contract between Task &gt; baseline PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492345.v1
title: Commonality T C

description: Files for commonality contrast between task &gt; control PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492347.v1
title: Covariate

description: Files for convariate analysis from research paper PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492253.v1
title: Model C T

description: Files for the control &gt; task contrast PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492225
title: Model TC

description: Model for the block analysis; task &gt; control condition PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1492239.v1
title: Model TB

description: Model data for contract between Task &gt; baseline PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1491500
title: Clinical Trial Registry Use in OBGYN Systematic Reviews

description: Data from Bibens et al. study
DOI: 10.6084/m9.figshare.1491503
title: OBGyn Article Abstractions

description: OBGyn meta-analyses coding sheets
DOI: 10.6084/m9.figshare.1492225.v1
title: Model TC

description: Model for the block analysis; task &gt; control condition PONE-D-14-01701R1 Functional activation during the Rapid Visual Information Processing task in a middle aged cohort: an fMRI study
DOI: 10.6084/m9.figshare.1491493
title: ICBR - Interoperability and Entropy Research Project

description: Recently there has been an industry-wide push away from passwords for personal verification and towards biometrics. Several different phone manufacturers have already begun to implement fingerprint sensors into their unlocking mechanisms. In this research, we discuss the use of different fingerprint sensors and the entropy of each. The security of all of these fingerprint sensors is tracked in bits of entropy and a number of minutiae points they recognize.
DOI: 10.6084/m9.figshare.1491503.v1
title: OBGym Article Abstractions

description: OBGyn meta-analyses coding sheets