cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16934659
title: DATA for “Warming winters in lakes: Later ice onset promotes consumer overwintering and shapes springtime planktonic food webs” DOI: org/10.1073/pnas.2114840118

description: NOTE: <br>-Please use the latest version of the dataset (now V6), which includes info re. units and better corresponds to the code. Additional updates may be made over time. <br>-Details re. calculations and conversions are provided in the Methods/Appendix of the paper.-Contact info: mphebert4@gmail.com <br><br>ABSTRACT:<br>Global climate warming is causing the loss of freshwater ice around the Northern Hemisphere. Although the timing and duration of ice covers are known to regulate ecological processes in seasonally ice-covered ecosystems, the consequences of shortening winters for freshwater biota are poorly understood owing to the scarcity of under-ice research. Here, we present one of the first in-lake experiments to postpone ice-cover onset (by ≤21 d), thereby extending light availability (by ≤40 d) in early winter, and explicitly demonstrate cascading effects on pelagic food web processes and phenologies. Delaying ice-on elicited a sequence of events from winter to spring: 1) relatively greater densities of algal resources and primary consumers in early winter; 2) an enhanced prevalence of winter-active (overwintering) consumers throughout the ice-covered period, associated with augmented storage of high-quality fats likely due to a longer access to algal resources in early winter; and 3) an altered trophic structure after ice-off, with greater initial springtime densities of overwintering consumers driving stronger, earlier top-down regulation, effectively reducing the spring algal bloom. Increasingly later ice onset may thus promote consumer overwintering, which can confer a competitive advantage on taxa capable of surviving winters upon ice-off; a process that may diminish spring food availability for other consumers, potentially disrupting trophic linkages and energy flow pathways over the subsequent open-water season. In considering a future with warmer winters, these results provide empirical evidence that may help anticipate phenological responses to freshwater ice loss and, more broadly, constitute a case of climate-induced cross-seasonal cascade on realized food web processes.
DOI: 10.5281/zenodo.6653366
title: SciExpeM - 10.5281/zenodo.6653366

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.34740/kaggle/dsv/3814513
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.6653365
title: SciExpeM - 10.5281/zenodo.6653366

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.6084/m9.figshare.16934659.v6
title: DATA for Hébert et al 2021b “Warming winters in lakes: Later ice onset promotes consumer overwintering and shapes springtime planktonic food webs”

description: NOTE: <br>-Please use the latest version of the dataset (now V6), which includes info re. units and better corresponds to the code. Additional updates may be made over time. <br>-Details re. calculations and conversions are provided in the Methods/Appendix of the paper.-Contact info: mphebert4@gmail.com <br><br>ABSTRACT:<br>Global climate warming is causing the loss of freshwater ice around the Northern Hemisphere. Although the timing and duration of ice covers are known to regulate ecological processes in seasonally ice-covered ecosystems, the consequences of shortening winters for freshwater biota are poorly understood owing to the scarcity of under-ice research. Here, we present one of the first in-lake experiments to postpone ice-cover onset (by ≤21 d), thereby extending light availability (by ≤40 d) in early winter, and explicitly demonstrate cascading effects on pelagic food web processes and phenologies. Delaying ice-on elicited a sequence of events from winter to spring: 1) relatively greater densities of algal resources and primary consumers in early winter; 2) an enhanced prevalence of winter-active (overwintering) consumers throughout the ice-covered period, associated with augmented storage of high-quality fats likely due to a longer access to algal resources in early winter; and 3) an altered trophic structure after ice-off, with greater initial springtime densities of overwintering consumers driving stronger, earlier top-down regulation, effectively reducing the spring algal bloom. Increasingly later ice onset may thus promote consumer overwintering, which can confer a competitive advantage on taxa capable of surviving winters upon ice-off; a process that may diminish spring food availability for other consumers, potentially disrupting trophic linkages and energy flow pathways over the subsequent open-water season. In considering a future with warmer winters, these results provide empirical evidence that may help anticipate phenological responses to freshwater ice loss and, more broadly, constitute a case of climate-induced cross-seasonal cascade on realized food web processes.
DOI: 10.6084/m9.figshare.20080824.v1
title: Additional file 1 of Questionnaire-based computational screening of adult ADHD

description: Additional file 1.
DOI: 10.6084/m9.figshare.20080824
title: Additional file 1 of Questionnaire-based computational screening of adult ADHD

description: Additional file 1.
DOI: 10.6084/m9.figshare.20080827
title: Additional file 2 of Questionnaire-based computational screening of adult ADHD

description: Additional file 2.
DOI: 10.6084/m9.figshare.20080827.v1
title: Additional file 2 of Questionnaire-based computational screening of adult ADHD

description: Additional file 2.
DOI: 10.6084/m9.figshare.20080830
title: Additional file 3 of Questionnaire-based computational screening of adult ADHD

description: Additional file 3.
DOI: 10.6084/m9.figshare.20080830.v1
title: Additional file 3 of Questionnaire-based computational screening of adult ADHD

description: Additional file 3.
DOI: 10.5281/zenodo.6653368
title: SciExpeM - 10.5281/zenodo.6653368

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653367
title: SciExpeM - 10.5281/zenodo.6653368

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.5682151
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 02

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 02 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C04, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.5682150
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 02

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 02 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C04, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.6653370
title: SciExpeM - 10.5281/zenodo.6653370

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653369
title: SciExpeM - 10.5281/zenodo.6653370

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.6084/m9.figshare.17109143
title: DATA for ''Lake salinization drives consistent losses of zooplankton abundance and diversity across coordinated mesocosm experiments'' DOI: org/10.1002/lol2.10239

description: NOTE:<br>-This data set includes taxon-specific trait information only.<br>-body length = mm ; body mass = mg (see Appendix/Metadata of the paper for additional info)<br>-Environmental and abundance data reported in this paper can be found here: https://doi.org/10.5683/SP3/BIDMCI-Contact info: mphebert4@gmail.com<br><br>ABSTRACT:<br>Human-induced salinization increasingly threatens inland waters; yet we know little about the multifaceted response of lake communities to salt contamination. By conducting a coordinated experiment of lake salinization across 16 sites in North America and Europe, we quantified the response of zooplankton abundance and (taxonomic and functional) community structure to a broad gradient of environmentally relevant chloride concentrations, ranging from 4 to ca.1400 mgCl/L. We found that crustaceans were distinctly more sensitive to elevated chloride than rotifers; yet rotifers did not show compensatory abundance increases in response to crustacean declines. For crustaceans, our among-lake comparisons indicate: (1) highly consistent decreases in abundance and taxon richness with salinity; (2) widespread chloride sensitivity across major taxonomic groups (Cladocera, Cyclopoida, and Calanoida); and (3) weaker loss of functional than taxonomic diversity. Overall, our study demonstrates that aggregate properties of zooplankton communities can be affected at chloride concentrations relevant to anthropogenic salinization in lakes.<br>
DOI: 10.6084/m9.figshare.17109143.v2
title: DATA for ''Lake salinization drives consistent losses of zooplankton abundance and diversity across coordinated mesocosm experiments''

description: NOTE:<br>-This data set includes taxon-specific trait information only.<br>-body length = mm ; body mass = mg (see Appendix/Metadata of the paper for additional info)<br>-Environmental and abundance data reported in this paper can be found here: https://doi.org/10.5683/SP3/BIDMCI-Contact info: mphebert4@gmail.com<br><br>ABSTRACT:<br>Human-induced salinization increasingly threatens inland waters; yet we know little about the multifaceted response of lake communities to salt contamination. By conducting a coordinated experiment of lake salinization across 16 sites in North America and Europe, we quantified the response of zooplankton abundance and (taxonomic and functional) community structure to a broad gradient of environmentally relevant chloride concentrations, ranging from 4 to ca.1400 mgCl/L. We found that crustaceans were distinctly more sensitive to elevated chloride than rotifers; yet rotifers did not show compensatory abundance increases in response to crustacean declines. For crustaceans, our among-lake comparisons indicate: (1) highly consistent decreases in abundance and taxon richness with salinity; (2) widespread chloride sensitivity across major taxonomic groups (Cladocera, Cyclopoida, and Calanoida); and (3) weaker loss of functional than taxonomic diversity. Overall, our study demonstrates that aggregate properties of zooplankton communities can be affected at chloride concentrations relevant to anthropogenic salinization in lakes.<br>
DOI: 10.5281/zenodo.6653372
title: SciExpeM - 10.5281/zenodo.6653372

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653371
title: SciExpeM - 10.5281/zenodo.6653372

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.5681966
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 01

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 01 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C03, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.5681965
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 01

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 01 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C03, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.6653378
title: SciExpeM - 10.5281/zenodo.6653378

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653377
title: SciExpeM - 10.5281/zenodo.6653378

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653384
title: SciExpeM - 10.5281/zenodo.6653384

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653383
title: SciExpeM - 10.5281/zenodo.6653384

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653386
title: SciExpeM - 10.5281/zenodo.6653386

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653385
title: SciExpeM - 10.5281/zenodo.6653386

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653390
title: SciExpeM - 10.5281/zenodo.6653390

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653389
title: SciExpeM - 10.5281/zenodo.6653390

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.6653396
title: SciExpeM - 10.5281/zenodo.6653396

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653395
title: SciExpeM - 10.5281/zenodo.6653396

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653398
title: SciExpeM - 10.5281/zenodo.6653398

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653397
title: SciExpeM - 10.5281/zenodo.6653398

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653392
title: SciExpeM - 10.5281/zenodo.6653392

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653391
title: SciExpeM - 10.5281/zenodo.6653392

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653400
title: SciExpeM - 10.5281/zenodo.6653400

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653399
title: SciExpeM - 10.5281/zenodo.6653400

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653402
title: SciExpeM - 10.5281/zenodo.6653402

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653401
title: SciExpeM - 10.5281/zenodo.6653402

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653404
title: SciExpeM - 10.5281/zenodo.6653404

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653403
title: SciExpeM - 10.5281/zenodo.6653404

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5287/bodleian:vjegpn7d4
title: Depression, anxiety, and stress among frontline health workers during the second wave of COVID-19 in southern Vietnam: a cross-sectional survey
DOI: 10.5281/zenodo.6653418
title: SciExpeM - 10.5281/zenodo.6653418

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653417
title: SciExpeM - 10.5281/zenodo.6653418

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653426
title: SciExpeM - 10.5281/zenodo.6653426

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653425
title: SciExpeM - 10.5281/zenodo.6653426

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653431
title: SciExpeM - 10.5281/zenodo.6653431

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653430
title: SciExpeM - 10.5281/zenodo.6653431

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653420
title: SciExpeM - 10.5281/zenodo.6653420

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653419
title: SciExpeM - 10.5281/zenodo.6653420

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.34740/kaggle/dsv/3814464
title: Prognosis based on Varying Data Quality
DOI: 10.5281/zenodo.6653424
title: SciExpeM - 10.5281/zenodo.6653424

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653423
title: SciExpeM - 10.5281/zenodo.6653424

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653451
title: SciExpeM - 10.5281/zenodo.6653451

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653450
title: SciExpeM - 10.5281/zenodo.6653451

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653453
title: SciExpeM - 10.5281/zenodo.6653453

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653452
title: SciExpeM - 10.5281/zenodo.6653453

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653457
title: SciExpeM - 10.5281/zenodo.6653457

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653456
title: SciExpeM - 10.5281/zenodo.6653457

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653459
title: SciExpeM - 10.5281/zenodo.6653459

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653458
title: SciExpeM - 10.5281/zenodo.6653459

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653463
title: SciExpeM - 10.5281/zenodo.6653463

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653462
title: SciExpeM - 10.5281/zenodo.6653463

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.6084/m9.figshare.20080965
title: Additional file 1 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 1: Table S1. A summary of all samples that were included in this study.
DOI: 10.6084/m9.figshare.20080965.v1
title: Additional file 1 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 1: Table S1. A summary of all samples that were included in this study.
DOI: 10.6084/m9.figshare.20080971
title: Additional file 3 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 3: Table S2. The list of 703 cancer genes.
DOI: 10.6084/m9.figshare.20080971.v1
title: Additional file 3 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 3: Table S2. The list of 703 cancer genes.
DOI: 10.6084/m9.figshare.20080977.v1
title: Additional file 5 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 5: Table S4. The copy number data for all samples.
DOI: 10.6084/m9.figshare.20080974
title: Additional file 4 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 4: Table S3. The list of somatic mutations in exons and splice sites for all samples.
DOI: 10.6084/m9.figshare.20080986
title: Additional file 7 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 7: Table S6. The outputs of dNdScv, MutPanning and MutSigCV.
DOI: 10.6084/m9.figshare.20080974.v1
title: Additional file 4 of Integrated genomic analyses of acral and mucosal melanomas nominate novel driver genes

description: Additional file 4: Table S3. The list of somatic mutations in exons and splice sites for all samples.