cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13353077.v1
title: Supplementary Material for: Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis

description: <b><i>Introduction:</i></b> Although severe acute respiratory syndrome coronavirus-2 infection is causing mortality in considerable proportion of coronavirus disease-2019 (COVID-19) patients, however, evidence for the association of sex, age, and comorbidities on the risk of mortality is not well-aggregated yet. It was aimed to assess the association of sex, age, and comorbidities with mortality in COVID-2019 patients. <b><i>Methods:</i></b> Literatures were searched using different keywords in various databases. Relative risks (RRs) were calculated by RevMan software where statistical significance was set as <i>p</i> &lt; 0.05. <b><i>Results:</i></b> COVID-19 male patients were associated with significantly increased risk of mortality compared to females (RR 1.86: 95% confidence interval [CI] 1.67–2.07; <i>p</i> &lt; 0.00001). Patients with age ≥50 years were associated with 15.4-folds significantly increased risk of mortality compared to patients with age &lt;50 years (RR 15.44: 95% CI 13.02–18.31; <i>p</i> &lt; 0.00001). Comorbidities were also associated with significantly increased risk of mortality; kidney disease (RR 4.90: 95% CI 3.04–7.88; <i>p</i> &lt; 0.00001), cereborovascular disease (RR 4.78; 95% CI 3.39–6.76; <i>p</i> &lt; 0.00001), cardiovascular disease (RR 3.05: 95% CI 2.20–4.25; <i>p</i> &lt; 0.00001), respiratory disease (RR 2.74: 95% CI 2.04–3.67; <i>p</i> &lt; 0.00001), diabetes (RR 1.97: 95% CI 1.48–2.64; <i>p</i> &lt; 0.00001), hypertension (RR 1.95: 95% CI 1.58–2.40; <i>p</i> &lt; 0.00001), and cancer (RR 1.89; 95% CI 1.25–2.84; <i>p</i> = 0.002) but not liver disease (RR 1.64: 95% CI 0.82–3.28; <i>p</i>= 0.16). <b><i>Conclusion:</i></b> Implementation of adequate protection and interventions for COVID-19 patients in general and in particular male patients with age ≥50 years having comorbidities may significantly reduce risk of mortality associated with COVID-19.
DOI: 10.21258/1528729
title: Inventaire forestier national suisse - Tableau no 899480
DOI: 10.21258/1483737
title: Inventaire forestier national suisse - Tableau no 897684
DOI: 10.21258/1499282
title: Inventaire forestier national suisse - Tableau no 898503
DOI: 10.21258/1518006
title: Inventaire forestier national suisse - Tableau no 898550
DOI: 10.21258/1496208
title: Inventaire forestier national suisse - Tableau no 891791
DOI: 10.21258/1500881
title: Inventaire forestier national suisse - Tableau no 897427
DOI: 10.5281/zenodo.4312723
title: Prioritization of cell types responsive to biological perturbations in single-cell data with Augur

description: Processed and analysis-ready input data discussed in our Augur procedures.
DOI: 10.21258/1527683
title: Inventaire forestier national suisse - Tableau no 892900
DOI: 10.5281/zenodo.4312801
title: Dataset for: Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes

description: The dataset used to generate graphs for: Matthew Bradbury, Arshad Jhumka and Tim Watson. Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes. Proceedings of the Symposium on Applied Computing, ACM, 2021, 1-10. Also includes instructions for experiment setup. Scripts from https://github.com/MBradbury/iot-trust-task-alloc are required to analyse and graph these results.
DOI: 10.5281/zenodo.4312800
title: Dataset for: Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes

description: The dataset used to generate graphs for: Matthew Bradbury, Arshad Jhumka and Tim Watson. Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes. Proceedings of the Symposium on Applied Computing, ACM, 2021, 1-10. Also includes instructions for experiment setup. Scripts from https://github.com/MBradbury/iot-trust-task-alloc are required to analyse and graph these results.
DOI: 10.21258/1514297
title: Inventaire forestier national suisse - Tableau no 891880
DOI: 10.21258/1492379
title: Inventaire forestier national suisse - Tableau no 891730
DOI: 10.21258/1490993
title: Inventaire forestier national suisse - Tableau no 897956
DOI: 10.21258/1510840
title: Inventaire forestier national suisse - Tableau no 902057
DOI: 10.21258/1516397
title: Inventaire forestier national suisse - Tableau no 891667
DOI: 10.21258/1480473
title: Inventaire forestier national suisse - Tableau no 899592
DOI: 10.21258/1500096
title: Inventaire forestier national suisse - Tableau no 897288
DOI: 10.21258/1508977
title: Inventaire forestier national suisse - Tableau no 893039
DOI: 10.34740/kaggle/dsv/1727562
title: Fashion Research-Personal And Garment Information
DOI: 10.21258/1484397
title: Inventaire forestier national suisse - Tableau no 899241
DOI: 10.21258/1491974
title: Inventaire forestier national suisse - Tableau no 899575
DOI: 10.21258/1503915
title: Inventaire forestier national suisse - Tableau no 891957
DOI: 10.21258/1497190
title: Inventaire forestier national suisse - Tableau no 898836
DOI: 10.21258/1524137
title: Inventaire forestier national suisse - Tableau no 902034
DOI: 10.26180/13308506.v1
title: The voices of Australian healthcare workers during the COVID-19 pandemic

description: These are free text responses from Australian healthcare workers captured during a campaign advocating for better work, health and safety standards during the COVID-19 pandemic. They have been redacted in parts to preserve anonymity. These stories accompany a publication by Ananda-Rajah et al in BMJ Leader, 2020.
DOI: 10.5517/ccdc.csd.cc20dfnj
title: CCDC 1858997: Experimental Crystal Structure Determination

description: Related Article: Shaowei Hu, Takanori Shima, Zhaomin Hou|2020|J.Am.Chem.Soc.|142|19889|doi:10.1021/jacs.0c10403
DOI: 10.5517/ccdc.csd.cc20dfpk
title: CCDC 1858998: Experimental Crystal Structure Determination

description: Related Article: Shaowei Hu, Takanori Shima, Zhaomin Hou|2020|J.Am.Chem.Soc.|142|19889|doi:10.1021/jacs.0c10403
DOI: 10.5517/ccdc.csd.cc20dfql
title: CCDC 1858999: Experimental Crystal Structure Determination

description: Related Article: Shaowei Hu, Takanori Shima, Zhaomin Hou|2020|J.Am.Chem.Soc.|142|19889|doi:10.1021/jacs.0c10403
DOI: 10.5517/ccdc.csd.cc25c3vj
title: CCDC 2006687: Experimental Crystal Structure Determination

description: Related Article: Thales Reggiani de Moura, Renan Diego Zanetti, Debora Eduarda Soares Silva, Renan Lira de Farias, Antonio Eduardo Mauro, José Clayston Melo Pereira, Aline Aparecida de Souza, Fábio da Silva Siqueira, Wagner Alves de Souza Júdice, Mauro Almeida Lima, Fillipe Vieira Rocha, Victor Marcelo Deflon, Adelino Vieira de Godoy Netto|2020|New J.Chem.|44|19891|doi:10.1039/D0NJ02825H
DOI: 10.5517/ccdc.csd.cc25kyzp
title: CCDC 2013263: Experimental Crystal Structure Determination

description: Related Article: Harrison M. Bergman, Gavin R. Kiel, Ryan J. Witzke, David P. Nenon, Adam M. Schwartzberg, Yi Liu, T. Don Tilley|2020|J.Am.Chem.Soc.|142|19850|doi:10.1021/jacs.0c09941
DOI: 10.5517/ccdc.csd.cc25kz0r
title: CCDC 2013264: Experimental Crystal Structure Determination

description: Related Article: Harrison M. Bergman, Gavin R. Kiel, Ryan J. Witzke, David P. Nenon, Adam M. Schwartzberg, Yi Liu, T. Don Tilley|2020|J.Am.Chem.Soc.|142|19850|doi:10.1021/jacs.0c09941
DOI: 10.5517/ccdc.csd.cc25kz1s
title: CCDC 2013265: Experimental Crystal Structure Determination

description: Related Article: Harrison M. Bergman, Gavin R. Kiel, Ryan J. Witzke, David P. Nenon, Adam M. Schwartzberg, Yi Liu, T. Don Tilley|2020|J.Am.Chem.Soc.|142|19850|doi:10.1021/jacs.0c09941
DOI: 10.21258/1495372
title: Inventaire forestier national suisse - Tableau no 898686
DOI: 10.5517/ccdc.csd.cc25m2rn
title: CCDC 2014341: Experimental Crystal Structure Determination

description: Related Article: Hongye Wang, Shuai Fang, Guangcheng Wu, Ye Lei, Qiong Chen, Hongliang Wang, Yating Wu, Chuhao Lin, Xin Hong, Sung Kuk Kim, Jonathan L. Sessler, Hao Li|2020|J.Am.Chem.Soc.|142|20182|doi:10.1021/jacs.0c10253
DOI: 10.5517/ccdc.csd.cc25m3c9
title: CCDC 2014360: Experimental Crystal Structure Determination

description: Related Article: Hongye Wang, Shuai Fang, Guangcheng Wu, Ye Lei, Qiong Chen, Hongliang Wang, Yating Wu, Chuhao Lin, Xin Hong, Sung Kuk Kim, Jonathan L. Sessler, Hao Li|2020|J.Am.Chem.Soc.|142|20182|doi:10.1021/jacs.0c10253
DOI: 10.5517/ccdc.csd.cc25m3fc
title: CCDC 2014362: Experimental Crystal Structure Determination

description: Related Article: Hongye Wang, Shuai Fang, Guangcheng Wu, Ye Lei, Qiong Chen, Hongliang Wang, Yating Wu, Chuhao Lin, Xin Hong, Sung Kuk Kim, Jonathan L. Sessler, Hao Li|2020|J.Am.Chem.Soc.|142|20182|doi:10.1021/jacs.0c10253
DOI: 10.5517/ccdc.csd.cc25m3gd
title: CCDC 2014363: Experimental Crystal Structure Determination

description: Related Article: Hongye Wang, Shuai Fang, Guangcheng Wu, Ye Lei, Qiong Chen, Hongliang Wang, Yating Wu, Chuhao Lin, Xin Hong, Sung Kuk Kim, Jonathan L. Sessler, Hao Li|2020|J.Am.Chem.Soc.|142|20182|doi:10.1021/jacs.0c10253
DOI: 10.21258/1498378
title: Inventaire forestier national suisse - Tableau no 891832
DOI: 10.5517/ccdc.csd.cc25m3hf
title: CCDC 2014364: Experimental Crystal Structure Determination

description: Related Article: Hongye Wang, Shuai Fang, Guangcheng Wu, Ye Lei, Qiong Chen, Hongliang Wang, Yating Wu, Chuhao Lin, Xin Hong, Sung Kuk Kim, Jonathan L. Sessler, Hao Li|2020|J.Am.Chem.Soc.|142|20182|doi:10.1021/jacs.0c10253
DOI: 10.5517/ccdc.csd.cc25rjm3
title: CCDC 2018615: Experimental Crystal Structure Determination

description: Related Article: Yue Li, Feng-Ping Zhang, Rong-Hua Wang, Shao-Long Qi, Yu-Xin Luan, Mengchun Ye|2020|J.Am.Chem.Soc.|142|19844|doi:10.1021/jacs.0c09949
DOI: 10.5517/ccdc.csd.cc25wd0h
title: CCDC 2022316: Experimental Crystal Structure Determination

description: Related Article: Kristian L. Mears, Cary R. Stennett, Elina K. Taskinen, Caroline E. Knapp, Claire J. Carmalt, Heikki M. Tuononen, Philip P. Power|2020|J.Am.Chem.Soc.|142|19874|doi:10.1021/jacs.0c10099
DOI: 10.5517/ccdc.csd.cc25wd1j
title: CCDC 2022317: Experimental Crystal Structure Determination

description: Related Article: Kristian L. Mears, Cary R. Stennett, Elina K. Taskinen, Caroline E. Knapp, Claire J. Carmalt, Heikki M. Tuononen, Philip P. Power|2020|J.Am.Chem.Soc.|142|19874|doi:10.1021/jacs.0c10099
DOI: 10.5517/ccdc.csd.cc267bqj
title: CCDC 2032847: Experimental Crystal Structure Determination

description: Related Article: Shaowei Hu, Takanori Shima, Zhaomin Hou|2020|J.Am.Chem.Soc.|142|19889|doi:10.1021/jacs.0c10403
DOI: 10.5517/ccdc.csd.cc25wdt9
title: CCDC 2022341: Experimental Crystal Structure Determination

description: Related Article: Wen-Ting Lv, Xiao-Xu Liu, Xia-Lin Dai, Xiang-Tian Long, Jia-Mei Chen|2020|CrystEngComm|22|8127|doi:10.1039/D0CE01289K
DOI: 10.5517/ccdc.csd.cc24vw52
title: CCDC 1992034: Experimental Crystal Structure Determination

description: Related Article: Ya-Ping Ou, Jing Zhang, Yuxuan Hu, Jun Yin, Chunyan Chi, Sheng Hua Liu|2020|Dalton Trans.|49|16877|doi:10.1039/D0DT02883E
DOI: 10.5517/ccdc.csd.cc24vwrn
title: CCDC 1992052: Experimental Crystal Structure Determination

description: Related Article: Ya-Ping Ou, Jing Zhang, Yuxuan Hu, Jun Yin, Chunyan Chi, Sheng Hua Liu|2020|Dalton Trans.|49|16877|doi:10.1039/D0DT02883E
DOI: 10.5517/ccdc.csd.cc24vwsp
title: CCDC 1992053: Experimental Crystal Structure Determination

description: Related Article: Ya-Ping Ou, Jing Zhang, Yuxuan Hu, Jun Yin, Chunyan Chi, Sheng Hua Liu|2020|Dalton Trans.|49|16877|doi:10.1039/D0DT02883E
DOI: 10.25505/fiz.icsd.cc23jk5d
title: CSD 1952323: Experimental Crystal Structure Determination

description: Related Article: Owen P. Missen, Matthias Weil, Stuart J. Mills, Eugen Libowitzky, Uwe Kolitsch, Berthold Stöger|2020|Z.Anorg.Allg.Chem.|646|476|doi:10.1002/zaac.202000016
DOI: 10.21258/1515754
title: Inventaire forestier national suisse - Tableau no 898526
DOI: 10.21258/1493473
title: Inventaire forestier national suisse - Tableau no 893062
DOI: 10.6084/m9.figshare.13353116
title: Supplementary Information - The Presence of Maxillary Fourth Molar in the Sri Lankan Toque Monkey (Macaca sinica)

description: This file contains the Supplementary Information of The Presence of Maxillary Fourth Molar in the Sri Lankan Toque Monkey (Macaca sinica).
DOI: 10.21258/1482506
title: Inventaire forestier national suisse - Tableau no 892908
DOI: 10.6084/m9.figshare.13353116.v1
title: Supplementary Information - The Presence of Maxillary Fourth Molar in the Sri Lankan Toque Monkey (Macaca sinica)

description: This file contains the Supplementary Information of The Presence of Maxillary Fourth Molar in the Sri Lankan Toque Monkey (Macaca sinica).
DOI: 10.5281/zenodo.4312939
title: Dataset for 10.1016/j.fct.2020.111554

description: Dataset corresponding to the following article: Israel Muñoz, Maria Dolors Guàrdia, Jacint Arnau, Paw Dalgaard, Sara Bover, José O. Fernandes, Carolina Monteiro, Sara C. Cunha, Amparo Gonçalves, Maria Leonor Nunes, Helena Oliveira. (2020).Effect of the sodium reduction and smoking system on quality and safety of smoked salmon (Salmo salar),Food and Chemical Toxicology, 139, 111554.
DOI: 10.21258/1522311
title: Inventaire forestier national suisse - Tableau no 899203
DOI: 10.5281/zenodo.4312938
title: Dataset for 10.1016/j.fct.2020.111554

description: Dataset corresponding to the following article: Israel Muñoz, Maria Dolors Guàrdia, Jacint Arnau, Paw Dalgaard, Sara Bover, José O. Fernandes, Carolina Monteiro, Sara C. Cunha, Amparo Gonçalves, Maria Leonor Nunes, Helena Oliveira. (2020).Effect of the sodium reduction and smoking system on quality and safety of smoked salmon (Salmo salar),Food and Chemical Toxicology, 139, 111554.
DOI: 10.5519/qd.14zmvobg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9080 records)
DOI: 10.21258/1513564
title: Inventaire forestier national suisse - Tableau no 899041
DOI: 10.5281/zenodo.4118662
title: Phylogenomics of manakins (Aves: Pipridae) using alternative locus filtering strategies based on informativeness

description: Data used in phylogenomic analyses of manakin birds. Datasets number 1 to 7 include sequence alignments for each locus analyzed, and datasets 4 to 7 also contain gene trees used as input for ASTRAL.
description: Additional funding was provided by FAPESP (2012/502606 to Lucia G. Lohmann). RNL received support from FAPESP (2016/08356-7) and CNPq (457267/2014-3; 409430/2017-0; 150128/2018-5). RTK and ELB received support from NSF (DEB 1655683). PAH was supported by the Danish National Research Foundation (DNRF96).
DOI: 10.5281/zenodo.4118661
title: Phylogenomics of manakins (Aves: Pipridae) using alternative locus filtering strategies based on informativeness

description: Data used in phylogenomic analyses of manakin birds. Datasets number 1 to 7 include sequence alignments for each locus analyzed, and datasets 4 to 7 also contain gene trees used as input for ASTRAL.
description: Additional funding was provided by FAPESP (2012/502606 to Lucia G. Lohmann). RNL received support from FAPESP (2016/08356-7) and CNPq (457267/2014-3; 409430/2017-0; 150128/2018-5). RTK and ELB received support from NSF (DEB 1655683). PAH was supported by the Danish National Research Foundation (DNRF96).
DOI: 10.34740/kaggle/dsv/1727684
title: US counties COVID 19 dataset
DOI: 10.21258/1486630
title: Inventaire forestier national suisse - Tableau no 898733
DOI: 10.21258/1516475
title: Inventaire forestier national suisse - Tableau no 897636
DOI: 10.21258/1521606
title: Inventaire forestier national suisse - Tableau no 891715
DOI: 10.21258/1519272
title: Inventaire forestier national suisse - Tableau no 892915
DOI: 10.21258/1519859
title: Inventaire forestier national suisse - Tableau no 898524
DOI: 10.6084/m9.figshare.13353035
title: International mapping review of the benefits of university-based research

description: List of works reviewed and coding report
DOI: 10.6084/m9.figshare.13353035.v2
title: International mapping review of the benefits of university-based research

description: List of works reviewed and coding report
DOI: 10.6084/m9.figshare.13353035.v1
title: International mapping review of the benefits of university-based research

description: List of works reviewed and coding report
DOI: 10.21258/1521363
title: Inventaire forestier national suisse - Tableau no 897354
DOI: 10.5281/zenodo.4312991
title: Empirical data for project: Mining user reviews of COVID contact-tracing apps

description: Empirical data for project: Mining user reviews of COVID contact-tracing apps
DOI: 10.5281/zenodo.4059087
title: Empirical data for project: Mining user reviews of COVID contact-tracing apps

description: Empirical data for project: Mining user reviews of COVID contact-tracing apps
DOI: 10.21258/1514799
title: Inventaire forestier national suisse - Tableau no 897832
DOI: 10.21258/1522201
title: Inventaire forestier national suisse - Tableau no 891724
DOI: 10.21258/1514604
title: Inventaire forestier national suisse - Tableau no 898916
DOI: 10.21258/1479670
title: Inventaire forestier national suisse - Tableau no 902191
DOI: 10.21258/1486698
title: Inventaire forestier national suisse - Tableau no 897939
DOI: 10.21258/1502142
title: Inventaire forestier national suisse - Tableau no 898190
DOI: 10.5281/zenodo.4060248
title: Global High Resolution Dust Emission Inventory for Chemical Transport Models

description: <strong>Overview:</strong><br> ================================================================================== Offline dust emissions in 2016 are now available at 0.25° x 0.3125° resolution. This dataset is calculated using the native resolution GMAO meteorology (GEOS-FP) fields. Codes and Instructions (README file in the GitHub repository) to generate these offline emissions can be found on GitHub. The offline emissions in this database have no scale factor applied, so users should apply the required scale factor in their application. Suggested scale factor to make the global total annual dust emission to 2000 Tg is 5.7141e-4. <br> <strong>Zip File Details:</strong><br> =============================================================================== 2016.zip contains daily (366 in total) netCDF files (stored in monthly folders) of global gridded hourly mineral dust emission flux rate. Individual file: /YYYY/MM/dust_emissions_025x0.3125.YYYYMMDD.nc Resolution : 0.25 x 0.3125 grid (721 x 1152 boxes)<br> Units : kg m-2 s-1<br> Timestamps : Hourly, 2016<br> Compression : Level 1 (nccopy -d1)<br> Chunking : nccopy -c lon/1152,lat/721,time/24 Variables in each file: EMIS_DST1, EMIS_DST2, EMIS_DST3 and EMIS_DST4 represent dust emission flux rate in four size bins (0.1-1.0, 1.0-1.8, 1.8-3.0, and 3.0-6.0 micro in radius). *<em>Version 2020_v1.0 of this dataset was produced to accompany the following manuscript:<br> Meng, Jun, R. V. Martin, P. Ginoux, M. Hammer, M. P. Sulprizio, D. A. Ridley, and A. van Donkelaar, Grid-independent high resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (version 12.5.0), Geoscientific Model Development, Submitted</em>
description: Currently, the dataset is available for the year 2016. The dataset for other years since 2014 will be available in future versions.
DOI: 10.5281/zenodo.4060247
title: Global High Resolution Dust Emission Inventory for Chemical Transport Models

description: <strong>Overview:</strong><br> ================================================================================== Offline dust emissions in 2016 are now available at 0.25° x 0.3125° resolution. This dataset is calculated using the native resolution GMAO meteorology (GEOS-FP) fields. Codes and Instructions (README file in the GitHub repository) to generate these offline emissions can be found on GitHub. The offline emissions in this database have no scale factor applied, so users should apply the required scale factor in their application. Suggested scale factor to make the global total annual dust emission to 2000 Tg is 5.7141e-4. <br> <strong>Zip File Details:</strong><br> =============================================================================== 2016.zip contains daily (366 in total) netCDF files (stored in monthly folders) of global gridded hourly mineral dust emission flux rate. Individual file: /YYYY/MM/dust_emissions_025x0.3125.YYYYMMDD.nc Resolution : 0.25 x 0.3125 grid (721 x 1152 boxes)<br> Units : kg m-2 s-1<br> Timestamps : Hourly, 2016<br> Compression : Level 1 (nccopy -d1)<br> Chunking : nccopy -c lon/1152,lat/721,time/24 Variables in each file: EMIS_DST1, EMIS_DST2, EMIS_DST3 and EMIS_DST4 represent dust emission flux rate in four size bins (0.1-1.0, 1.0-1.8, 1.8-3.0, and 3.0-6.0 micro in radius). *<em>Version 2020_v1.0 of this dataset was produced to accompany the following manuscript:<br> Meng, Jun, R. V. Martin, P. Ginoux, M. Hammer, M. P. Sulprizio, D. A. Ridley, and A. van Donkelaar, Grid-independent high resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (version 12.5.0), Geoscientific Model Development, Submitted</em>
description: Currently, the dataset is available for the year 2016. The dataset for other years since 2014 will be available in future versions.
DOI: 10.21258/1498471
title: Inventaire forestier national suisse - Tableau no 902275
DOI: 10.21258/1515047
title: Inventaire forestier national suisse - Tableau no 897239
DOI: 10.21258/1499340
title: Inventaire forestier national suisse - Tableau no 897419
DOI: 10.21258/1489708
title: Inventaire forestier national suisse - Tableau no 896908
DOI: 10.21258/1528001
title: Inventaire forestier national suisse - Tableau no 897081
DOI: 10.21258/1515240
title: Inventaire forestier national suisse - Tableau no 891798
DOI: 10.21258/1500630
title: Inventaire forestier national suisse - Tableau no 897893
DOI: 10.21258/1487732
title: Inventaire forestier national suisse - Tableau no 898715
DOI: 10.21258/1480445
title: Inventaire forestier national suisse - Tableau no 898953
DOI: 10.21258/1521347
title: Inventaire forestier national suisse - Tableau no 899566
DOI: 10.6084/m9.figshare.13353236
title: Multi-sample VCF of Klebsiella pneumoniae species-wide dataset

description: Multi-sample VCF file of the Klebsiella pneumoniae species-wide dataset used by PowerBacGWAS pipeline. The rest of files are in: https://github.com/francesccoll/powerbacgwas/tree/main/data<br>
DOI: 10.21258/1511373
title: Inventaire forestier national suisse - Tableau no 898555
DOI: 10.21258/1499262
title: Inventaire forestier national suisse - Tableau no 898075
DOI: 10.5281/zenodo.4313040
title: SAR Stack of Pichincha volcano in Ecuador, from Sentinel-1

description: A stack of Coregistered SLCs on Pichincha volcano, Ecuador Sensor: Sentinel-1 Ascending track 18 Time: 2019.01.01 - 2019.06.12, 23 acquisitions Processor: ISCE/topsStack Tropospheric delay estimated from ERA-5 using PyAPS is attached. This is an input dataset for the time series analysis with MiNoPy.
DOI: 10.21258/1492806
title: Inventaire forestier national suisse - Tableau no 891851
DOI: 10.6084/m9.figshare.13353269
title: Craft Paper Data.xlsx

description: Data are from a survey of craft beer and craft wine consumers about their affect and their loyalty to craft beer and wine. <br>
DOI: 10.21258/1525742
title: Inventaire forestier national suisse - Tableau no 891771
DOI: 10.21258/1506984
title: Inventaire forestier national suisse - Tableau no 897740