cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13765514
title: Dataset related to the article "PROGnostic RolE of strain measurements in stress cardiac MRI in predicting major adverse cardiac events"

description: This record contains raw data related to the article “PROGnostic RolE of strain measurements in stress cardiac MRI in predicting major adverse cardiac events"

Objectives: We aimed to investigate the role of feature-tracking (FT) strain in long-term risk stratification of patients with known or suspected coronary artery disease (CAD) who underwent stress cardiac MRI with dipyridamole; to determine if contrast-free stress cardiac MRI with strain measurements could provide comparable prognostic value to myocardial perfusion. 

Materials and methods: This retrospective study included consecutive patients with stable symptoms suggesting possible cardiac ischemia who underwent stress cardiac MRI with dipyridamole. The mean follow-up period was 5.8 years ±1.2 [SD]. FT cardiac MRI analysis was performed for each patient to obtain 2D global peak circumferential strain (GCS). The primary outcome measure was  major adverse cardiac events (MACE), defined as nonfatal myocardial infarction and cardiac death.

Results: A total of 729 patients (mean age, 63 years ±10 [SD]; 616 males) were included. MACE occurred in 70 (9.6%) patients. The presence of late gadolinium enhancement (LGE) ([HR] 2.74, [95% CI: 1.53, 4.88]; P < .001) and stress GCS (HR, 1.06 [95% CI: 1.01, 1.12]; P = .016) were independently associated with MACE. A model based on contrast-free assessment of LVEF and stress GCS showed similar performance for predicting MACE than LVEF and perfusion (P = .056).

Conclusions: In patients with known or suspected CAD undergoing stress cardiac MRI with dipyridamole, GCS and LGE presence were independent predictors of MACE. Contrast-free stress cardiac MRI with stress GCS measurement offered prognostic value akin to myocardial perfusion assessment.
DOI: 10.5281/zenodo.13765515
title: Dataset related to the article "PROGnostic RolE of strain measurements in stress cardiac MRI in predicting major adverse cardiac events"

description: This record contains raw data related to the article “PROGnostic RolE of strain measurements in stress cardiac MRI in predicting major adverse cardiac events"

Objectives: We aimed to investigate the role of feature-tracking (FT) strain in long-term risk stratification of patients with known or suspected coronary artery disease (CAD) who underwent stress cardiac MRI with dipyridamole; to determine if contrast-free stress cardiac MRI with strain measurements could provide comparable prognostic value to myocardial perfusion. 

Materials and methods: This retrospective study included consecutive patients with stable symptoms suggesting possible cardiac ischemia who underwent stress cardiac MRI with dipyridamole. The mean follow-up period was 5.8 years ±1.2 [SD]. FT cardiac MRI analysis was performed for each patient to obtain 2D global peak circumferential strain (GCS). The primary outcome measure was  major adverse cardiac events (MACE), defined as nonfatal myocardial infarction and cardiac death.

Results: A total of 729 patients (mean age, 63 years ±10 [SD]; 616 males) were included. MACE occurred in 70 (9.6%) patients. The presence of late gadolinium enhancement (LGE) ([HR] 2.74, [95% CI: 1.53, 4.88]; P < .001) and stress GCS (HR, 1.06 [95% CI: 1.01, 1.12]; P = .016) were independently associated with MACE. A model based on contrast-free assessment of LVEF and stress GCS showed similar performance for predicting MACE than LVEF and perfusion (P = .056).

Conclusions: In patients with known or suspected CAD undergoing stress cardiac MRI with dipyridamole, GCS and LGE presence were independent predictors of MACE. Contrast-free stress cardiac MRI with stress GCS measurement offered prognostic value akin to myocardial perfusion assessment.
DOI: 10.5281/zenodo.7113279
title: zheng-gong-pmag/Shandong-Archaeomagnetism: New archaeomagnetic directions from late Neolithic sites in Shandong province, China

description: This file contains raw data from the article "New archaeomagnetic directions from late Neolithic sites in
Shandong province, China"
DOI: 10.5281/zenodo.7113280
title: zheng-gong-pmag/Shandong-Archaeomagnetism: New archaeomagnetic directions from late Neolithic sites in Shandong province, China

description: This file contains raw data from the article "New archaeomagnetic directions from late Neolithic sites in
Shandong province, China"
DOI: 10.25326/771
title: Aerodynamic coefficients of MM92 blade airfoil scans obtained from running SU2 RANS simulations

description: This set of data contains results from RANS simulations run with open source SU code (https://su2code.github.io/docs_v7/home/) on one MM92 wind turbine blade scan. The blade has been discretized in 45 two-dimensional sections and aerodynamic coefficients have been calculated on each of these sections. Each simulation consist of a two-dimensional O-grid meshing step performed with Construct2D (https://sourceforge.net/projects/construct2d/), then lift, drag and moment coefficients are calculated using RANS simulations for angles of attack varying from -15° to 15°. Viterna method (https://doi.org/10.1016/j.egypro.2017.03.394) is finally used to extrapolate the calculated coefficients over all angles of attacks.
DOI: 10.5281/zenodo.11302257
title: DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR

description: This record contains raw data related to the article “DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR”

Background and aims: This study investigated the additional prognostic value of epicardial adipose tissue (EAT) volume for major adverse cardiovascular events (MACE) in patients undergoing stress cardiac magnetic resonance (CMR) imaging. Methods: 730 consecutive patients [mean age: 63 ± 10 years; 616 men] who underwent stress CMR for known or suspected coronary artery disease were randomly divided into derivation (n = 365) and validation (n = 365) cohorts. MACE was defined as non-fatal myocardial infarction and cardiac deaths. A deep learning algorithm was developed and trained to quantify EAT volume from CMR. EAT volume was adjusted for height (EAT volume index). A composite CMR-based risk score by Cox analysis of the risk of MACE was created. Results: In the derivation cohort, 32 patients (8.7 %) developed MACE during a follow-up of 2103 days. Left ventricular ejection fraction (LVEF) < 35 % (HR 4.407 [95 % CI 1.903–10.202]; p<0.001), stress perfusion defect (HR 3.550 [95 % CI 1.765–7.138]; p<0.001), late gadolinium enhancement (LGE) (HR 4.428 [95%CI 1.822–10.759]; p = 0.001) and EAT volume index (HR 1.082 [95 % CI 1.045–1.120]; p<0.001) were independent predictors of MACE. In a multivariate Cox regression analysis, adding EAT volume index to a composite risk score including LVEF, stress perfusion defect and LGE provided additional value in MACE prediction, with a net reclassification improvement of 0.683 (95%CI, 0.336–1.03; p<0.001). The combined evaluation of risk score and EAT volume index showed a higher Harrel C statistic as compared to risk score (0.85 vs. 0.76; p<0.001) and EAT volume index alone (0.85 vs.0.74; p<0.001). These findings were confirmed in the validation cohort. Conclusions: In patients with clinically indicated stress CMR, fully automated EAT volume measured by deep learning can provide additional prognostic information on top of standard clinical and imaging parameters.
DOI: 10.5281/zenodo.11302258
title: DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR

description: This record contains raw data related to the article “DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR”

Background and aims: This study investigated the additional prognostic value of epicardial adipose tissue (EAT) volume for major adverse cardiovascular events (MACE) in patients undergoing stress cardiac magnetic resonance (CMR) imaging. Methods: 730 consecutive patients [mean age: 63 ± 10 years; 616 men] who underwent stress CMR for known or suspected coronary artery disease were randomly divided into derivation (n = 365) and validation (n = 365) cohorts. MACE was defined as non-fatal myocardial infarction and cardiac deaths. A deep learning algorithm was developed and trained to quantify EAT volume from CMR. EAT volume was adjusted for height (EAT volume index). A composite CMR-based risk score by Cox analysis of the risk of MACE was created. Results: In the derivation cohort, 32 patients (8.7 %) developed MACE during a follow-up of 2103 days. Left ventricular ejection fraction (LVEF) < 35 % (HR 4.407 [95 % CI 1.903–10.202]; p<0.001), stress perfusion defect (HR 3.550 [95 % CI 1.765–7.138]; p<0.001), late gadolinium enhancement (LGE) (HR 4.428 [95%CI 1.822–10.759]; p = 0.001) and EAT volume index (HR 1.082 [95 % CI 1.045–1.120]; p<0.001) were independent predictors of MACE. In a multivariate Cox regression analysis, adding EAT volume index to a composite risk score including LVEF, stress perfusion defect and LGE provided additional value in MACE prediction, with a net reclassification improvement of 0.683 (95%CI, 0.336–1.03; p<0.001). The combined evaluation of risk score and EAT volume index showed a higher Harrel C statistic as compared to risk score (0.85 vs. 0.76; p<0.001) and EAT volume index alone (0.85 vs.0.74; p<0.001). These findings were confirmed in the validation cohort. Conclusions: In patients with clinically indicated stress CMR, fully automated EAT volume measured by deep learning can provide additional prognostic information on top of standard clinical and imaging parameters.
DOI: 10.15468/dl.zunnjp
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anathallis corticicola (Schltr. ex Hoehne) Pridgeon & M.W.Chase"
 ]
}

 The dataset includes 71 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006154-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25597/neg8-ej82
title: Chronicles of involuntary career changes: A longitudinal qualitative analysis.
DOI: 10.34740/kaggle/dsv/10626429
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.5519/qd.7lo3vgyv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.15468/dl.gwczap
title: Occurrence Download

description: A dataset containing 6117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 6117 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006155-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13373921
title: Coronary Artery Calcium and cardiovascular risk factors analysis after Radiotherapy for breast cancer (the CLARIFIER: A gender-based preventive medicine study)

description: Complete dataset containing raw data related to the study :Coronary Artery Calcium and cardiovascular risk factors analysis after Radiotherapy for breast cancer (the CLARIFIER: A gender-based preventive medicine study)
DOI: 10.5281/zenodo.13373922
title: Coronary Artery Calcium and cardiovascular risk factors analysis after Radiotherapy for breast cancer (the CLARIFIER: A gender-based preventive medicine study)

description: Complete dataset containing raw data related to the study :Coronary Artery Calcium and cardiovascular risk factors analysis after Radiotherapy for breast cancer (the CLARIFIER: A gender-based preventive medicine study)
DOI: 10.15468/dl.tc5pfy
title: Occurrence Download

description: A dataset containing 1093109 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ArtenFinder"
 ]
}

 The dataset includes 1093109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006139-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v72tcd
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fenerivia humbertii (Diels) R.M.K.Saunders"
 ]
}

 The dataset includes 127 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006157-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/kjr2hw
title: Database on the costs and benefits of agroforestry in Africa

description: This dataset captures the economic value of ecosystem services generated by agroforestry systems in Africa. It is based on a systematic literature review (SLR) as well as focus group discussions conducted in selected countries across Africa. The dataset is composed of 164 variables. Descriptive variables indicate details such as source, country and specific location, tree/crop species, sapling survival rate and spacing between trees. The economic factors like inflation deflation and exchange rate are listed. The actual economic values are then divided into costs and benefits. The total costs are separated into maintenance costs and establishment costs. Total, establishment and maintenance costs as well as total benefits are given in USD 2020, the individual value categories are expressed in the currencies used in the original sources for traceability. The cost variables mainly refer to inputs and labour, while the benefits include variables such as income, yield, tree fruits, and sale of tree products.
description: Excel, 2019
DOI: 10.60507/fk2/kjr2hw/fhah5m
title: Readme.txt
DOI: 10.60507/fk2/kjr2hw/oembuk
title: Costs_and_benefits_of_agroforestry_in_Africa.xlsx
DOI: 10.60507/fk2/kjr2hw/ppep2o
title: Users_Guide.pdf
DOI: 10.15468/dl.rjq2vn
title: Occurrence Download

description: A dataset containing 32790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cortaderia selloana (Schult. & Schult.f.) Asch. & Graebn., Gynerium elegans VanGeert, Gynerium purpureum Carrière, Gynerium argenteum var. argenteum, Gynerium elegans Van Geert, Arundo selloana Schult. & Schult.f., Arundo kila Spreng., Gynerium argenteum subsp. bertinii Jacob-Makoy, Gynerium argenteum Nees, Arundo dioeca Spreng., Gynerium argenteum var. albolineatum W.Bull, Gynerium dioicum Dallière, Arundo dioica Spreng., Cortaderia dioica Speg., Arundo kila Spreng. ex Steud., Moorea argentea (Nees) Lem., Cortaderia argentea (Nees) Stapf, Cortaderia dioeca Speg.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 32790 records from 709 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006156-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccqwy1k
title: CCDC 682249: Experimental Crystal Structure Determination

description: Related Article: T.Mutig, E.Kemnitz, S.I.Troyanov|2008|Eur.J.Org.Chem.|2008|3256|doi:10.1002/ejoc.200800302
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccq84y1
title: CCDC 663243: Experimental Crystal Structure Determination

description: Related Article: J.Prikryl, V.Machacek, P.Jansa, M.Svobodova, A.Ruzicka, P.Nachtigall, M.Cerny|2008|Eur.J.Org.Chem.|2008|3272|doi:10.1002/ejoc.200800180
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccqwy2l
title: CCDC 682250: Experimental Crystal Structure Determination

description: Related Article: T.Mutig, E.Kemnitz, S.I.Troyanov|2008|Eur.J.Org.Chem.|2008|3256|doi:10.1002/ejoc.200800302
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccq84z2
title: CCDC 663244: Experimental Crystal Structure Determination

description: Related Article: J.Prikryl, V.Machacek, P.Jansa, M.Svobodova, A.Ruzicka, P.Nachtigall, M.Cerny|2008|Eur.J.Org.Chem.|2008|3272|doi:10.1002/ejoc.200800180
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccqqlzz
title: CCDC 677132: Experimental Crystal Structure Determination

description: Related Article: P.Astolfi, P.Carloni, E.Damiani, L.Greci, M.Marini, C.Rizzoli, P.Stipa|2008|Eur.J.Org.Chem.|2008|3279|doi:10.1002/ejoc.200800213
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.kd4q3t
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((157.5 37.5,165 37.5,165 45,157.5 45,157.5 37.5))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036426-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccqj22c
title: CCDC 670842: Experimental Crystal Structure Determination

description: Related Article: R.Reingruber, S.Vanderheiden, A.Wagner, M.Nieger, T.Muller, M.Es-Sayed, S.Brase|2008|Eur.J.Org.Chem.|2008|3314|doi:10.1002/ejoc.200800154
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccqj23d
title: CCDC 670843: Experimental Crystal Structure Determination

description: Related Article: R.Reingruber, S.Vanderheiden, A.Wagner, M.Nieger, T.Muller, M.Es-Sayed, S.Brase|2008|Eur.J.Org.Chem.|2008|3314|doi:10.1002/ejoc.200800154
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccqj24f
title: CCDC 670844: Experimental Crystal Structure Determination

description: Related Article: R.Reingruber, S.Vanderheiden, A.Wagner, M.Nieger, T.Muller, M.Es-Sayed, S.Brase|2008|Eur.J.Org.Chem.|2008|3314|doi:10.1002/ejoc.200800154
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccplxw1
title: CCDC 643804: Experimental Crystal Structure Determination

description: Related Article: J.D.Azoulay, K.Itigaki, Guang Wu, G.C.Bazan|2008|Organometallics|27|2273|doi:10.1021/om8000263
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccqj25g
title: CCDC 670845: Experimental Crystal Structure Determination

description: Related Article: R.Reingruber, S.Vanderheiden, A.Wagner, M.Nieger, T.Muller, M.Es-Sayed, S.Brase|2008|Eur.J.Org.Chem.|2008|3314|doi:10.1002/ejoc.200800154
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccplxx2
title: CCDC 643805: Experimental Crystal Structure Determination

description: Related Article: J.D.Azoulay, K.Itigaki, Guang Wu, G.C.Bazan|2008|Organometallics|27|2273|doi:10.1021/om8000263
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccplxy3
title: CCDC 643806: Experimental Crystal Structure Determination

description: Related Article: J.D.Azoulay, K.Itigaki, Guang Wu, G.C.Bazan|2008|Organometallics|27|2273|doi:10.1021/om8000263
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccq5clt
title: CCDC 660566: Experimental Crystal Structure Determination

description: Related Article: J.D.Azoulay, K.Itigaki, Guang Wu, G.C.Bazan|2008|Organometallics|27|2273|doi:10.1021/om8000263
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.