cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-09.2609336/2285659
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-01.2417757/2285660
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-09.2330083/2285661
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2389021/2285662
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-09.2609855/2285663
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-12.2411242/2285664
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-11.2387651/2285665
title: Data for EMSL Project 51834 from November 2021
DOI: 10.6084/m9.figshare.23641812
title: <strong>Effect of index HIV self-testing for sexual partners of clients enrolled in antiretroviral therapy (ART) programs in Malawi: a randomized controlled trial</strong>Untitled Item

description: Data collected for the individually randomized, unblinded trial to assess if an index HIVST intervention targeting the partners of antiretroviral therapy (ART) clients improves uptake of testing and treatment services in Malawi. <br>

Trial Registration<strong>: </strong>ClinicalTrials.gov, NCT03271307 and Pan African Clinical Trials, PACTR201711002697316.
DOI: 10.25582/data.2022-01.2417118/2285666
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-12.2399949/2285667
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-08.2305315/2285668
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-09.2322551/2285669
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-01.2417056/2285670
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2022-09.2609347/2285671
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-11.2387769/2285672
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-09.2322500/2285673
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-10.2615805/2285674
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2322434/2285675
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-09.2606296/2285676
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-10.2621141/2285677
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-01.2417096/2285678
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2022-10.2616467/2285679
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-12.2404792/2285680
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-10.2368808/2285681
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-10.2620845/2285682
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2321400/2285683
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-08.2305233/2285684
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2022-09.2610746/2285685
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-12.2411047/2285686
title: Data for EMSL Project 51834 from December 2021
DOI: 10.6084/m9.figshare.17874779
title: Similar implantation competence in euploid blastocysts developed on day 5 or day 6 in young women: a retrospective cohort study

description: The results from different studies are inconsistent regarding whether development potential correlated with embryo development speed after single euploid blastocyst transfer. The age-associated reproductive decline is not only because of the difference in aneuploidy rates but also because of metabolic and epigenetic changes of the embryos. Therefore, we aimed to assess the independent effect of embryo development speed on implantation potential in young women. A total of 326 young women who underwent preimplantation genetic testing for monogenic diseases with aneuploidy screening were analyzed. Day-5 and day-6 euploid blastocysts yielded similar implantation rates (65.20 <i>vs.</i> 61.22%). The odds ratio (OR) remained non-significant after adjusting for confounders (adjusted OR = 0.84, 95% confidence interval 0.52–1.36). There was a trend that day-6 euploid blastocysts had a higher miscarriage rate (13.33 <i>vs.</i> 9.20%). However, the live birth delivery rate of day-5 blastocysts was similar to that of day-6 blastocysts (59.20 <i>vs.</i> 53.06%). In the stratified analysis, live birth delivery rates were similar between day-5 and day-6 similarly graded euploid blastocysts (excellent and good, 62.04 <i>vs.</i> 64.71%; average, 58.73 <i>vs.</i> 53.70%; poor, 43.75 <i>vs.</i> 44.44%). Embryo development speed has no obvious impact on implantation competence in young women’s vitrified/warmed euploid embryo transfer cycles.
DOI: 10.6084/m9.figshare.17874779.v1
title: Similar implantation competence in euploid blastocysts developed on day 5 or day 6 in young women: a retrospective cohort study

description: The results from different studies are inconsistent regarding whether development potential correlated with embryo development speed after single euploid blastocyst transfer. The age-associated reproductive decline is not only because of the difference in aneuploidy rates but also because of metabolic and epigenetic changes of the embryos. Therefore, we aimed to assess the independent effect of embryo development speed on implantation potential in young women. A total of 326 young women who underwent preimplantation genetic testing for monogenic diseases with aneuploidy screening were analyzed. Day-5 and day-6 euploid blastocysts yielded similar implantation rates (65.20 <i>vs.</i> 61.22%). The odds ratio (OR) remained non-significant after adjusting for confounders (adjusted OR = 0.84, 95% confidence interval 0.52–1.36). There was a trend that day-6 euploid blastocysts had a higher miscarriage rate (13.33 <i>vs.</i> 9.20%). However, the live birth delivery rate of day-5 blastocysts was similar to that of day-6 blastocysts (59.20 <i>vs.</i> 53.06%). In the stratified analysis, live birth delivery rates were similar between day-5 and day-6 similarly graded euploid blastocysts (excellent and good, 62.04 <i>vs.</i> 64.71%; average, 58.73 <i>vs.</i> 53.70%; poor, 43.75 <i>vs.</i> 44.44%). Embryo development speed has no obvious impact on implantation competence in young women’s vitrified/warmed euploid embryo transfer cycles.
DOI: 10.25582/data.2021-09.2316548/2285687
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-12.2389876/2285688
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2022-10.2617113/2285689
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.20496231
title: Data associated to the manuscript "Enhanced top-down control of herbivore population growth on plants with impaired defences"

description: Data associated with the manuscript entitled "Enhanced top-down control of herbivore population growth on plants with impaired defences" (2022) Functional Ecology
DOI: 10.25582/data.2021-09.2316801/2285690
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2384736/2285691
title: Data for EMSL Project 51834 from November 2021
DOI: 10.6084/m9.figshare.24166269
title: CDM Q Data.csv

description: See Data File 1 for Q values of all CDM tributaries, those are the source data of Fig. 2.
Infinite Q factor correspond to the measured BER of 0.
DOI: 10.6084/m9.figshare.24166269.v1
title: CDM Q Data.csv

description: See Data File 1 for Q values of all CDM tributaries, those are the source data of Fig. 2.
Infinite Q factor correspond to the measured BER of 0.
DOI: 10.25582/data.2022-09.2606955/2285692
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-12.2404761/2285693
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-12.2397097/2285694
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-12.2411243/2285695
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2022-10.2617495/2285696
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-01.2417117/2285697
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-11.2388466/2285698
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-09.2319438/2285699
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-10.2361392/2285700
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-10.2617242/2285701
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2322634/2285702
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-04.2479128/2285703
title: Data for EMSL Project 51834 from April 2022
DOI: 10.25582/data.2021-12.2399663/2285704
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-11.2380331/2285705
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-12.2392876/2285706
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2022-09.2610770/2285707
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-11.2380536/2285708
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-10.2363578/2285709
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-10.2616448/2285710
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-10.2366373/2285711
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-01.2417498/2285712
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-12.2389856/2285713
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-09.2322391/2285714
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-12.2391102/2285715
title: Data for EMSL Project 51834 from December 2021
DOI: 10.6084/m9.figshare.20495854
title: Additional file 8 of Hyperphosphorylated tau mediates neuronal death by inducing necroptosis and inflammation in Alzheimer’s disease

description: Additional file 8. Expression of RNA-seq.
DOI: 10.25582/data.2021-08.2305281/2285716
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-09.2322496/2285717
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2320697/2285718
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-10.2619574/2285719
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.24166557
title: Critical Care Services in Bagmati Province of Nepal: A Cross Sectional Survey

description: This study aimed to assess the current status of critical care services in 13 districts of Bagmati Province in Nepal, with a focus on access, infrastructure, human resources, and ICU services.
DOI: 10.6084/m9.figshare.19447368
title: Middle Permian magmatism in the Tangjia-Sumdo region, Tibet: evidence for intra-oceanic subduction

description: The late Paleozoic tectonic evolution of the Lhasa terrane and subduction of Sumdo Paleo-Tethys ocean remains controversial due to limited data and variable Permian magmatism in central and southern Lhasa. We report new zircon U–Pb ages and Hf-isotope ratios as well as whole-rock major element, trace element, and Sr–Nd isotope data from middle Permian (266 ~ 257 Ma) arc-related magmatism, including high-Mg quartz diorite and trondhjemite in the Tangjia-Sumdo area. The quartz diorite has high SiO<sub>2</sub> (53.92–57.90 wt.%), MgO (3.69–8.03 wt.%) and low TiO<sub>2</sub> (0.60–1.01 wt.%) contents. It is enriched in the large ion lithophile elements (LILEs, e.g. Rb, Ba, Sr) and depleted in the high field strength elements (HFSEs, e.g. Nb, Ta, Ti). We interpreted these chemical features, in combination with uniform whole-rock (<sup>87</sup>Sr/<sup>86</sup>Sr)<sub>i</sub> (0.70375–0.70452), ε<sub>Nd</sub>(t) (+4.48 – +5.55), and zircon ε<sub>Hf</sub>(t) (+11.2 – +13.7) values, as indicative of dioritic melt derived by the interaction of fluids expelled from the subducting slab with the overlying mantle wedge in an island arc setting. The trondhjemite has high SiO<sub>2</sub> (71.16–73.52 wt.%), Al<sub>2</sub>O<sub>3</sub> (14.92–16.24 wt.%) and K<sub>2</sub>O + Na<sub>2</sub>O (7.34–8.27 wt.%) contents, is enriched in the light rare-earth elements (LREEs) and is depleted in Th and heavy rare-earth elements (HREEs). These rocks are characterized by positive ε<sub>Nd</sub>(t) (+5.91 – +6.68) and ε<sub>Hf</sub>(t) (+12.0 – +16.1) values and may have been derived from partial melting of subducted oceanic crust. Based on the elemental and isotopic composition of the quartz diorite and trondhjemite, we suggest that middle Permian magmatism occurred in an intra-oceanic subduction setting in the Sumdo Paleo-Tethys ocean. The Sumdo Paleo-Tethys ocean was probably a small ocean basin within the eastern Lhasa terrane and not a vast ocean basin that completely separated central Lhasa from the southern Lhasa subterrane.
DOI: 10.6084/m9.figshare.19447368.v1
title: Middle Permian magmatism in the Tangjia-Sumdo region, Tibet: evidence for intra-oceanic subduction

description: The late Paleozoic tectonic evolution of the Lhasa terrane and subduction of Sumdo Paleo-Tethys ocean remains controversial due to limited data and variable Permian magmatism in central and southern Lhasa. We report new zircon U–Pb ages and Hf-isotope ratios as well as whole-rock major element, trace element, and Sr–Nd isotope data from middle Permian (266 ~ 257 Ma) arc-related magmatism, including high-Mg quartz diorite and trondhjemite in the Tangjia-Sumdo area. The quartz diorite has high SiO<sub>2</sub> (53.92–57.90 wt.%), MgO (3.69–8.03 wt.%) and low TiO<sub>2</sub> (0.60–1.01 wt.%) contents. It is enriched in the large ion lithophile elements (LILEs, e.g. Rb, Ba, Sr) and depleted in the high field strength elements (HFSEs, e.g. Nb, Ta, Ti). We interpreted these chemical features, in combination with uniform whole-rock (<sup>87</sup>Sr/<sup>86</sup>Sr)<sub>i</sub> (0.70375–0.70452), ε<sub>Nd</sub>(t) (+4.48 – +5.55), and zircon ε<sub>Hf</sub>(t) (+11.2 – +13.7) values, as indicative of dioritic melt derived by the interaction of fluids expelled from the subducting slab with the overlying mantle wedge in an island arc setting. The trondhjemite has high SiO<sub>2</sub> (71.16–73.52 wt.%), Al<sub>2</sub>O<sub>3</sub> (14.92–16.24 wt.%) and K<sub>2</sub>O + Na<sub>2</sub>O (7.34–8.27 wt.%) contents, is enriched in the light rare-earth elements (LREEs) and is depleted in Th and heavy rare-earth elements (HREEs). These rocks are characterized by positive ε<sub>Nd</sub>(t) (+5.91 – +6.68) and ε<sub>Hf</sub>(t) (+12.0 – +16.1) values and may have been derived from partial melting of subducted oceanic crust. Based on the elemental and isotopic composition of the quartz diorite and trondhjemite, we suggest that middle Permian magmatism occurred in an intra-oceanic subduction setting in the Sumdo Paleo-Tethys ocean. The Sumdo Paleo-Tethys ocean was probably a small ocean basin within the eastern Lhasa terrane and not a vast ocean basin that completely separated central Lhasa from the southern Lhasa subterrane.
DOI: 10.6084/m9.figshare.6864434
title: Additional file 1: of Poor sleep quality in migraine and probable migraine: a population study

description: Raw data of the present study. (XLS 1035 kb)
DOI: 10.6084/m9.figshare.6864434.v1
title: Additional file 1: of Poor sleep quality in migraine and probable migraine: a population study

description: Raw data of the present study. (XLS 1035 kb)
DOI: 10.25582/data.2022-01.2417419/2285720
title: Data for EMSL Project 51834 from January 2022
DOI: 10.6084/m9.figshare.6864455
title: Additional file 1: of Biomechanical comparison of screw-based zoning of PHILOS and Fx proximal humerus plates

description: Raw experimental data for calculation of mean stiffness and peak loads and for performing statistical analysis. (XLSX 73Â kb)
DOI: 10.6084/m9.figshare.6864455.v1
title: Additional file 1: of Biomechanical comparison of screw-based zoning of PHILOS and Fx proximal humerus plates

description: Raw experimental data for calculation of mean stiffness and peak loads and for performing statistical analysis. (XLSX 73Â kb)
DOI: 10.25582/data.2021-09.2322412/2285721
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-10.2615039/2285722
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.22593122
title: Statistical Inferences for Complex Dependence of Multimodal Imaging Data

description: Statistical analysis of multimodal imaging data is a challenging task, since the data involves high-dimensionality, strong spatial correlations and complex data structures. In this article, we propose rigorous statistical testing procedures for making inferences on the complex dependence of multimodal imaging data. Motivated by the analysis of multi-task fMRI data in the Human Connectome Project (HCP) study, we particularly address three hypothesis testing problems: (a) testing independence among imaging modalities over brain regions, (b) testing independence between brain regions within imaging modalities, and (c) testing independence between brain regions across different modalities. Considering a general form for all the three tests, we develop a global testing procedure and a multiple testing procedure controlling the false discovery rate. We study theoretical properties of the proposed tests and develop a computationally efficient distributed algorithm. The proposed methods and theory are general and relevant for many statistical problems of testing independence structure among the components of high-dimensional random vectors with arbitrary dependence structures. We also illustrate our proposed methods via extensive simulations and analysis of five task fMRI contrast maps in the HCP study. Supplementary materials for this article are available online.
DOI: 10.25582/data.2021-08.2305308/2285723
title: Data for EMSL Project 51834 from August 2021
DOI: 10.6084/m9.figshare.22593122.v2
title: Statistical Inferences for Complex Dependence of Multimodal Imaging Data

description: Statistical analysis of multimodal imaging data is a challenging task, since the data involves high-dimensionality, strong spatial correlations and complex data structures. In this article, we propose rigorous statistical testing procedures for making inferences on the complex dependence of multimodal imaging data. Motivated by the analysis of multi-task fMRI data in the Human Connectome Project (HCP) study, we particularly address three hypothesis testing problems: (a) testing independence among imaging modalities over brain regions, (b) testing independence between brain regions within imaging modalities, and (c) testing independence between brain regions across different modalities. Considering a general form for all the three tests, we develop a global testing procedure and a multiple testing procedure controlling the false discovery rate. We study theoretical properties of the proposed tests and develop a computationally efficient distributed algorithm. The proposed methods and theory are general and relevant for many statistical problems of testing independence structure among the components of high-dimensional random vectors with arbitrary dependence structures. We also illustrate our proposed methods via extensive simulations and analysis of five task fMRI contrast maps in the HCP study. Supplementary materials for this article are available online.
DOI: 10.25582/data.2022-09.2607237/2285724
title: Data for EMSL Project 51834 from September 2022
DOI: 10.6084/m9.figshare.22593122.v1
title: Statistical Inferences for Complex Dependence of Multimodal Imaging Data*

description: Statistical analysis of multimodal imaging data is a challenging task, since the data involves high-dimensionality, strong spatial correlations and complex data structures. In this paper, we propose rigorous statistical testing procedures for making inferences on the complex dependence of multimodal imaging data. Motivated by the analysis of multi-task fMRI data in the Human Connectome Project (HCP) study, we particularly address three hypothesis testing problems: (a) testing independence among imaging modalities over brain regions, (b) testing independence between brain regions within imaging modalities, and (c) testing independence between brain regions across different modalities. Considering a general form for all the three tests, we develop a global testing procedure and a multiple testing procedure controlling the false discovery rate. We study theoretical properties of the proposed tests and develop a computationally efficient distributed algorithm. The proposed methods and theory are general and relevant for many statistical problems of testing independence structure among the components of high-dimensional random vectors with arbitrary dependence structures. We also illustrate our proposed methods via extensive simulations and analysis of five task fMRI contrast maps in the HCP study.
DOI: 10.25582/data.2021-10.2369911/2285725
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-10.2621980/2285726
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2327579/2285727
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-01.2417122/2285728
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-11.2387626/2285729
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-08.2304806/2285730
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-12.2399495/2285731
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2022-10.2621501/2285732
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-10.2353320/2285733
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-08.2305219/2285734
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-08.2303656/2285735
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-11.2388427/2285736
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-08.2304533/2285737
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-09.2314903/2285738
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2318848/2285739
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-10.2363844/2285740
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-12.2390631/2285741
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-11.2380448/2285742
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-11.2375856/2285743
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-10.2616394/2285744
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-12.2389935/2285745
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-08.2304512/2285746
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2022-09.2609362/2285747
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-10.2616330/2285748
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-08.2305242/2285749
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2022-10.2615613/2285750
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-09.2606840/2285751
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-10.2368027/2285752
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-09.2607226/2285753
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-11.2384639/2285754
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-10.2617091/2285755
title: Data for EMSL Project 51834 from October 2022