cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.588559
title: Tree-ring measurements of Picea engelmannii (Engelmann spruce) from sample ALTA-82

description: Species PCEN; No of rings 235; Begin 1749; End 1983
DOI: 10.1594/pangaea.588560
title: Tree-ring measurements of Picea engelmannii (Engelmann spruce) from sample ALTA-91

description: Species PCEN; No of rings 216; Begin 1768; End 1983
DOI: 10.1594/pangaea.593284
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample KEDVPINO-181

description: Species PISY; No of rings 216; Begin 1775; End 1990
DOI: 10.1594/pangaea.590867
title: Tree-ring measurements of Larix dahurica (Dahurican larch) from sample CHERSKLA-121

description: Species LADA; No of rings 335; Begin 1625; End 1959
DOI: 10.1594/pangaea.592443
title: Tree-ring measurements of Abies amabilis (Pacific silver fir) from sample HURRI-91

description: Species ABAM; No of rings 174; Begin 1810; End 1983
DOI: 10.1594/pangaea.590214
title: Tree-ring measurements of Larix dahurica (Dahurican larch) from sample BULUNLAD-61

description: Species LADA; No of rings 398; Begin 1594; End 1991
DOI: 10.1594/pangaea.591505
title: Tree-ring measurements of Picea mariana (Black spruce) from sample EASTMUFE-111

description: Species PCMA; No of rings 123; Begin 1866; End 1988
DOI: 10.1594/pangaea.590468
title: Tree-ring measurements of Picea abies (Norway spruce) from sample CAKOR-11

description: Species PCAB; No of rings 101; Begin 1881; End 1981
DOI: 10.1594/pangaea.590811
title: Tree-ring measurements of Picea obovata (Sibirean spruce) from sample CHARPCNO-71

description: Species PCOB; No of rings 139; Begin 1851; End 1989
DOI: 10.1594/pangaea.589339
title: Tree-ring measurements of Larix dahurica (Dahurican larch) from sample BARAYLAD-12

description: Species LADA; No of rings 167; Begin 1826; End 1992
DOI: 10.1594/pangaea.590794
title: Tree-ring measurements of Picea obovata (Sibirean spruce) from sample CHARPCNO-12

description: Species PCOB; No of rings 152; Begin 1839; End 1990
DOI: 10.1594/pangaea.589981
title: Tree-ring measurements of Larix dahurica (Dahurican larch) from sample BRYUNGLA-92

description: Species LADA; No of rings 271; Begin 1721; End 1991
DOI: 10.1594/pangaea.590240
title: Tree-ring measurements of Abies alba (Silver fir) from sample BVS_A-A055

description: Species ABAL; No of rings 96; Begin 1899; End 1994
DOI: 10.1594/pangaea.590451
title: Tree-ring measurements of Picea glauca (White spruce) from sample CADORPCG-132

description: Species PCGL; No of rings 236; Begin 1757; End 1992
DOI: 10.1594/pangaea.590459
title: Tree-ring measurements of Picea glauca (White spruce) from sample CADORPCG-192

description: Species PCGL; No of rings 72; Begin 1903; End 1974
DOI: 10.1594/pangaea.590465
title: Tree-ring measurements of Picea abies (Norway spruce) from sample CAKOR-102

description: Species PCAB; No of rings 126; Begin 1856; End 1981
DOI: 10.1594/pangaea.591294
title: Tree-ring measurements of Picea glauca (White spruce) from sample DENALI-11

description: Species PCGL; No of rings 163; Begin 1821; End 1983
DOI: 10.1594/pangaea.593358
title: Tree-ring measurements of Larix sibirica (Siberian larch) from sample KHADYTLA-182

description: Species LASI; No of rings 80; Begin 1911; End 1990
DOI: 10.1594/pangaea.657639
title: Tree-ring width of Abies alba (Miller) from historical object sample IB22249-15

description: Species ABAL; No of rings 140; Begin 1598; End 1737
DOI: 10.57782/rzm27t/0ecyef
title: sub-s029_task-audiovisual_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/9i0m7p
title: sub-s001_task-audiovisual_run-2_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/ydhral
title: sub-s001_task-audiovisual_run-1_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/hegxxu
title: sub-s009_task-audiovisual_run-1_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/s3irj0
title: sub-s030_task-noisy_run-2_desc-stdev_bold.svg

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DOI: 10.57782/rzm27t/b7lb61
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DOI: 10.57782/rzm27t/dl5qri
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title: sub-s002_task-clean_run-2_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/dxzjov
title: sub-s024_T1w.json

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DOI: 10.57782/rzm27t/mbnfxr
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DOI: 10.57782/rzm27t/2ghiwg
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DOI: 10.57782/rzm27t/ricrja
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DOI: 10.57782/rzm27t/fiawn1
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DOI: 10.57782/rzm27t/cy58xp
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DOI: 10.57782/rzm27t/1jc3ph
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DOI: 10.57782/rzm27t/iicvox
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DOI: 10.57782/rzm27t/yofnjp
title: sub-s007_task-rest_bold.json

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DOI: 10.57782/rzm27t/q2aayp
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DOI: 10.57782/rzm27t/pz83ci
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DOI: 10.57782/rzm27t/wr72eu
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DOI: 10.57782/rzm27t/jbat2d
title: sub-s019_task-audiovisual_run-2_bold.json

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DOI: 10.57782/rzm27t/o518u8
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DOI: 10.57782/rzm27t/3vgory
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DOI: 10.57782/rzm27t/nbnub4
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DOI: 10.57782/rzm27t/pqqsqo
title: sub-s023_task-audiovisual_run-2_bold.json

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DOI: 10.57782/rzm27t/rxswh4
title: sub-s017_task-clean_run-1_bold.json

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DOI: 10.57782/rzm27t/6abh3b
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DOI: 10.57782/rzm27t/bc5usq
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DOI: 10.57782/rzm27t/mskl0g
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DOI: 10.57782/rzm27t/2r3kf7
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DOI: 10.57782/rzm27t/v32w4e
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DOI: 10.57782/rzm27t/eppz8i
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DOI: 10.57782/rzm27t/dmrojj
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DOI: 10.57782/rzm27t/qhjvj3
title: sub-s009_task-clean_run-1_bold.json

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DOI: 10.57782/rzm27t/iry3jw
title: sub-s017_task-rest_bold.json

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DOI: 10.57782/rzm27t/mwfirs
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DOI: 10.57782/rzm27t/4f1ab3
title: sub-s025_task-clean_run-2_desc-stdev_bold.svg

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DOI: 10.57782/rzm27t/wqpktt
title: sub-s027_task-clean_run-2_bold.json

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DOI: 10.57782/rzm27t/kxob5o
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DOI: 10.57782/rzm27t/p1onfb
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DOI: 10.57782/rzm27t/w7jvdq
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DOI: 10.57782/rzm27t/osr6jg
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DOI: 10.57782/rzm27t/ucyycq
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DOI: 10.57782/rzm27t/qqwbyv
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DOI: 10.57782/rzm27t/8kmgro
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DOI: 10.57782/rzm27t/ma5uwc
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DOI: 10.57782/rzm27t/admqpt
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DOI: 10.57782/rzm27t/nsfq4g
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DOI: 10.57782/rzm27t/zknzgq
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DOI: 10.57782/rzm27t/kint0x
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DOI: 10.57782/rzm27t/kumqdg
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DOI: 10.57782/rzm27t/d1kauh
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DOI: 10.57782/rzm27t/dm9kpf
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DOI: 10.57782/rzm27t/avkjwe
title: sub-s010_task-audiovisual_run-1_bold.json

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DOI: 10.57782/rzm27t/naasgb
title: sub-s026_task-audiovisual_run-2_bold.json

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DOI: 10.57782/rzm27t/pfyjnr
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DOI: 10.57782/rzm27t/40xqqw
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DOI: 10.57782/rzm27t/amharr
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DOI: 10.57782/rzm27t/f9qauf
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DOI: 10.57782/rzm27t/qs9c90
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DOI: 10.57782/rzm27t/arq5oy
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DOI: 10.57782/rzm27t/klfjzi
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DOI: 10.57782/rzm27t/6df0yp
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DOI: 10.57782/rzm27t/y00vrw
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DOI: 10.57782/rzm27t/9mqizv
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DOI: 10.57782/rzm27t/3e9res
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DOI: 10.57782/rzm27t/dgssg8
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DOI: 10.57782/rzm27t/lgp1zi
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DOI: 10.57782/rzm27t/dyhr5h
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DOI: 10.57782/rzm27t/fhebwq
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DOI: 10.57782/rzm27t/kngsl0
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DOI: 10.6084/m9.figshare.26052298
title: Anatomy of the left atria in subjects with dyspnoea and Heart Failure with preserved Ejection Fraction

description: Anatomy of the left atria (LA) of patients with exertional dyspnoea and diastolic dysfunction on echocardiography (E/e’ &gt;8), that were classified as HFpEF (n=34) or non-cardiac dyspnoea (NCD, n=34) based on right heart catheterisation (RHC). All patients underwent rest and exercise-stress RHC and Cardiovascular Magnetic Resonance (CMR). Computational 3D anatomical LA models were generated based on short axis cine sequences. A fully automated pipeline was developed to segment CMR images at three instants in the cardiac cycle (end diastole ED, end systole ES and mid diastole midD) and build 3D statistical models of LA shape and find the 3D patterns discriminant between HFpEF and NCD.This dataset underpins the publication "Left Atrial Roof Enlargement Is a Distinct Feature of Heart Failure With Preserved Ejection Fraction" Circ Cardiovasc Imaging. 2024;17:e016424. DOI: 10.1161/CIRCIMAGING.123.016424Data shared contains 64 cases x 3 phases (ED, ES, midD) = 192 models:<b>1. AtlasMeshData.zip</b>, where each mesh is named as "CaseXXXphYY" where XXX is the case ID and YY is the frame of the CMR sequence used (ED will be the first or last frame, ES will be around 7, and midD will be around 20)1.1 Maskxxx.gipl: The mask of the left ventricular (LV) myocardium and right ventricular blood pool from the short axis magnetic resonance image1.2 Maskxxx_mesh files (.exelem and .exnode): the cubic Hermite mesh that was personalised to the anatomy of the left ventricle1.3 Image_Maskxxx_mesh.jpg: image of the overlay between the fitted mesh and the mask of the segmentation.1.4 Image_Initialization.jpg: image of the overlay between the template mesh used for personalization and the segmentation mask1.5 ImageDistances2ClosestPointMaskxxx_meshxxxxxxxxxx.jpg: image of the distances between the mesh and the segmentation contours (xxxxxxxxxx is a digit encoding for the time when the image was generated)1.6 PersonalizationReportMaskxxx.txt: file with metrics of mesh fitting accuracy and quality1.7 GeometricalMetrics.mat: file with metrics of mesh geometry<b>2</b><b>.</b><b> AtlasModesAtlasS4LoD2_s4_c8</b>: illustration of the 20 first modes of anatomical variation, together with the box-plot of the differences between diagnostic group (non-cardiac dyspnoea in blue, masked HFpEF in purple and overt HFpEF in red).<b>3. infocases.xls</b>: data of the 68 study subjects, including demographics and pulmonary capillary wedge pressure from RHC at rest and stress.
DOI: 10.57782/rzm27t/c3d5yd
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DOI: 10.6084/m9.figshare.26052298.v1
title: Anatomy of the left atria in subjects with dyspnoea and Heart Failure with preserved Ejection Fraction

description: Anatomy of the left atria (LA) of patients with exertional dyspnoea and diastolic dysfunction on echocardiography (E/e’ &gt;8), that were classified as HFpEF (n=34) or non-cardiac dyspnoea (NCD, n=34) based on right heart catheterisation (RHC). All patients underwent rest and exercise-stress RHC and Cardiovascular Magnetic Resonance (CMR). Computational 3D anatomical LA models were generated based on short axis cine sequences. A fully automated pipeline was developed to segment CMR images at three instants in the cardiac cycle (end diastole ED, end systole ES and mid diastole midD) and build 3D statistical models of LA shape and find the 3D patterns discriminant between HFpEF and NCD.<br>Data shared contains 64 cases x 3 phases (ED, ES, midD) = 192 3D models:<b>1. AtlasMeshData.zip</b>, where each mesh is named as "CaseXXXphYY" where XXX is the case ID and YY is the frame of the CMR sequence used (ED will be the first or last frame, ES will be around 7, and midD will be around 20)1.1 Maskxxx.gipl: The mask of the left ventricular (LV) myocardium and right ventricular blood pool from the short axis magnetic resonance image1.2 Maskxxx_mesh files (.exelem and .exnode): the cubic Hermite mesh that was personalised to the anatomy of the left ventricle1.3 Image_Maskxxx_mesh.jpg: image of the overlay between the fitted mesh and the mask of the segmentation.1.4 Image_Initialization.jpg: image of the overlay between the template mesh used for personalization and the segmentation mask 1.5 ImageDistances2ClosestPointMaskxxx_meshxxxxxxxxxx.jpg: image of the distances between the mesh and the segmentation contours (xxxxxxxxxx is a digit encoding for the time when the image was generated)1.6 PersonalizationReportMaskxxx.txt: file with metrics of mesh fitting accuracy and quality1.7 GeometricalMetrics.mat: file with metrics of mesh geometry<b>2</b><b>.</b><b> AtlasModes_s4_c5.pdf</b>: illustration of the 20 first modes of anatomical variation, together with the box-plot of the differences between cardiac phase (end diastole in blue, end systole in purple and mid diastole in red).
DOI: 10.57782/rzm27t/lw6no2
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DOI: 10.57782/rzm27t/z0cdsh
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DOI: 10.57782/rzm27t/wgc5i5
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DOI: 10.57782/rzm27t/4jnelt
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DOI: 10.57782/rzm27t/uknhfu
title: sub-s028_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/f2qyn3
title: sub-s020_task-noisy_run-2_desc-stdev_bold.svg

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DOI: 10.57782/rzm27t/qj0r36
title: sub-s026_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.15468/dl.3h43up
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "TaxonKey is Durio zibethinus Murray"
 ]
}

 The dataset includes 366 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003431-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57782/rzm27t/trwphv
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DOI: 10.57782/rzm27t/uxf0fz
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DOI: 10.57782/rzm27t/3nd4dl
title: sub-s028_task-audiovisual_run-1_desc-stdev_bold.svg

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DOI: 10.57782/rzm27t/4lyoo0
title: sub-s025_task-noisy_run-1_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/f2g8pn
title: sub-s021_task-audiovisual_run-2_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/124qli
title: sub-s009_desc-zoomed_T1w.svg

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DOI: 10.57782/rzm27t/h0ybdg
title: sub-s017_task-audiovisual_run-1_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/6hko2t
title: sub-s009_task-noisy_run-1_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/98uwmp
title: sub-s024_task-clean_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/jyjfkr
title: sub-s003_task-audiovisual_run-2_bold.json

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DOI: 10.57782/rzm27t/3kpz3a
title: sub-s012_task-noisy_run-2_bold.json

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DOI: 10.57782/rzm27t/vajevo
title: sub-s019_task-clean_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/4d9u7o
title: sub-s013_task-clean_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/ww1chg
title: sub-s026_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/dlov7x
title: sub-s029_task-noisy_run-1_desc-stdev_bold.svg

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DOI: 10.57782/rzm27t/0ijgmd
title: sub-s021_task-noisy_run-2_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/owv4mt
title: sub-s014_task-rest_desc-stdev_bold.svg

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DOI: 10.57782/rzm27t/xoiyhw
title: sub-s012_desc-zoomed_T1w.svg

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DOI: 10.57782/rzm27t/labbh0
title: sub-s030_task-clean_run-1_bold.json

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DOI: 10.57782/rzm27t/npf5iv
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DOI: 10.57782/rzm27t/qopy3l
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DOI: 10.57782/rzm27t/1rhxb1
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DOI: 10.57782/rzm27t/yznctu
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DOI: 10.57782/rzm27t/fgcz7d
title: sub-s031_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/fxases
title: sub-s002_task-rest_bold.json

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DOI: 10.57782/rzm27t/hipy1t
title: sub-s028_task-rest_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/phj1j8
title: sub-s021_T1w.json

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DOI: 10.57782/rzm27t/kgkgui
title: sub-s023_task-noisy_run-1_bold.json

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DOI: 10.57782/rzm27t/8195gz
title: sub-s029_task-clean_run-2_bold.json

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DOI: 10.57782/rzm27t/deywai
title: sub-s023_task-noisy_run-2_desc-carpet_bold.svg

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DOI: 10.57782/rzm27t/3zqmlo
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DOI: 10.57782/rzm27t/kp4kp2
title: sub-s023_task-noisy_run-1_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/wvl47k
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DOI: 10.57782/rzm27t/yi6gzd
title: sub-s024_task-noisy_run-1_bold.json

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DOI: 10.57782/rzm27t/mnj8tw
title: sub-s001_task-noisy_run-1_bold.json

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DOI: 10.57782/rzm27t/krr43t
title: sub-s021_task-noisy_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/psrwq7
title: sub-s009_desc-background_T1w.svg

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DOI: 10.57782/rzm27t/ikidor
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DOI: 10.57782/rzm27t/mztws8
title: sub-s026_task-clean_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/fzdhrx
title: sub-s009_task-audiovisual_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/g9dyun
title: sub-s002_desc-zoomed_T1w.svg

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DOI: 10.57782/rzm27t/ey3enk
title: sub-s031_task-clean_run-2_desc-mean_bold.svg

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DOI: 10.57782/rzm27t/tci3wb
title: sub-s002_task-rest_desc-mean_bold.svg

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