cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21619329.v1
title: A retrospective view of the relationship of soluble Fas with anemia and outcomes in chronic kidney disease

description: Our data contains: Gender; Age_baseline (years); Group_NDD_CKD; BMI; Smoker at that moment; Proteinuria; Creat baseline; eGFR_baseline; CKDstage; eGFR &lt;60; eGFR&gt;60; sUrea_basel; DM_cause; Hypetension_cause; Cause of CKD; Hgb_baseline; Hgb_lower10_baseline; Hgb (mg/dl)_baseline; Hgb_baseline (g/l); Hct_b; Hct_basel; VCMb_; HCM_b; Anemia_baseline; ESA; months_to_ESA; rHuEPOU/week; rHuEPO/Kg/week; platelets_baseline; Iron_replacement; Fe_baseline; Trasferrin_sat_basel; Ferritin_baseline; Albumin_baseline; PCR; logPCR; PCR_baseline_LxH; serum_sFas_baseline; sFas/eGFR_at baseline; sFas1000; logsFas; IL-6.b; log_IL_6.b; IFNg.b; logIFNg.b; serum_EPO.basel; logserumEPO_b; EPO/Hb. mg/dl_b_; log_EPO/Hb. mg/dl_b_; Epo/Hgb_baseline; logEpo/Hgb_b; EPO/Hct basel; log EPO/Hct basel; PTH_baseline; logpth; Leuko_b; RAS_blocker; CaXP; LVH; t_CHOLT; Hgb_after 1 year; Hgb_2; Hgb_4; Hgb_6; Hgb_8; Hgb_10; Hgb_12; Hct; Hct1; Hct2; Hct 4; Hct 6; Hct 8; Hct 12; Hgb_last; VCM_last; HCM_last; Hct last; Anemia_end followup; Leuko 2; Leuko 4; Leuko 6; Leuko 8; Leuko 12; Alb_after 2; Alb 4; Alb 6; alb12; Fe 2; Fe 4; Fe 6; Fe 8; Fe 10; Fe 12; Ferrit i; Ferrit 2; Ferrit4; Ferrit 6; Ferrit 8; Ferrit 12; Transf sat_after 2 y ; Transf sat_4; Transf sat_ 6; Transf sat_ 8; Transf sat_10; Transf sat_12; PCR_after 2 y; PCR 4; PCR6; PCR10; PCR12; Weight_after 2 years; Weight_6; Peso12; eGFR_after 1 y; eGFR_2; eGFR_4; eGFR_6; eGFR_8; eGFR_12; eGFR_last; Ant. C.Ca; b-bloq; Diuretic; Vit B; Folate; CVDisease; Time to CVD (years); Hypertens; DM ; NDD_CKD_to_Dialysis; Time to dialysis (months); T to dialysis (years); to_Anemia (years); RBC_Transfus; RBCs units; Time_ RBC_transfusion (months); followup (years); Mortality; Time to mortality (months); Cause_mortality; Year of mortality;
DOI: 10.6084/m9.figshare.3761562.v2600
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7982955
title: Exotic fish species traits across levels of establishment

description: Data for reproducing the results obtained by Bernery, Marino & Bellard (2023) in the paper "Relative importance of exotic species traits in determining invasiveness across levels of establishment: Example of freshwater fish" Data description and scripts for running the analyses are available at: https://github.com/claramarino/estab_levels_exotic_fish
DOI: 10.5281/zenodo.7982954
title: Exotic fish species traits across levels of establishment

description: Data for reproducing the results obtained by Bernery, Marino & Bellard (2023) in the paper "Relative importance of exotic species traits in determining invasiveness across levels of establishment: Example of freshwater fish" Data description and scripts for running the analyses are available at: https://github.com/claramarino/estab_levels_exotic_fish
DOI: 10.5281/zenodo.6514317
title: Datasets, reproducible codes, and results for evaluating differential expression analysis methods on population-level RNA-seq data

description: This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, <em>Genome Biology</em> 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.
description: {"references": ["Li Y, Ge X, Peng F, Li W, Li JJ. Exaggerated false positives by popular differential expression methods when analyzing human population samples. Genome Biology 23, 79, 2022. DOI: 10.1186/s13059-022-02648-4", "Li Y, Ge X. Processed datasets for differential expression analysis on polulation-level RNA-seq data (Version 4) [Data set]. Zenodo. 2022. DOI: 10.5281/zenodo.6326786."]}
DOI: 10.5281/zenodo.6536901
title: Datasets, reproducible codes, and results for evaluating differential expression analysis methods on population-level RNA-seq data

description: This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, <em>Genome Biology</em> 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.
description: {"references": ["Li Y, Ge X, Peng F, Li W, Li JJ. Exaggerated false positives by popular differential expression methods when analyzing human population samples. Genome Biology 23, 79, 2022. DOI: 10.1186/s13059-022-02648-4", "Li Y, Ge X. Processed datasets for differential expression analysis on polulation-level RNA-seq data (Version 4) [Data set]. Zenodo. 2022. DOI: 10.5281/zenodo.6326786."]}
DOI: 10.5281/zenodo.6514316
title: Datasets, reproducible codes, and results for evaluating differential expression analysis methods on population-level RNA-seq data

description: This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence "Neglecting normalization impact in semi-synthetic RNA-seq data simulation generates artificial false positives" to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, <em>Genome Biology</em> 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.
description: {"references": ["Li Y, Ge X, Peng F, Li W, Li JJ. Exaggerated false positives by popular differential expression methods when analyzing human population samples. Genome Biology 23, 79, 2022. DOI: 10.1186/s13059-022-02648-4", "Li Y, Ge X. Processed datasets for differential expression analysis on polulation-level RNA-seq data (Version 4) [Data set]. Zenodo. 2022. DOI: 10.5281/zenodo.6326786."]}
DOI: 10.5281/zenodo.6554347
title: Datasets, reproducible codes, and results for evaluating differential expression analysis methods on population-level RNA-seq data

description: This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence "Neglecting normalization impact in semi-synthetic RNA-seq data simulation generates artificial false positives" to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, <em>Genome Biology</em> 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.
description: {"references": ["Li Y, Ge X, Peng F, Li W, Li JJ. Exaggerated false positives by popular differential expression methods when analyzing human population samples. Genome Biology 23, 79, 2022. DOI: 10.1186/s13059-022-02648-4", "Li Y, Ge X. Processed datasets for differential expression analysis on polulation-level RNA-seq data (Version 4) [Data set]. Zenodo. 2022. DOI: 10.5281/zenodo.6326786."]}
DOI: 10.5281/zenodo.7983041
title: Dataset on Integrated Urban Scenarios

description: This dataset supports the original research article Kılkış (2023) on “<strong>Integrated urban scenarios of emissions, land use efficiency and benchmarking for climate neutrality and sustainability</strong>.” <br> <br> The dataset involves a total of 37 datasheets that are organised into three main domains as follows: The first domain contains 9 datasheets focused on urban emissions scenarios. Analysed and generated data on carbon footprint per capita, SSP1 urban population projections per urban area, mitigation ratio of emissions trends per scenario, and annual urban emissions in 5-year intervals between 2015 and 2050 are given. Such data is followed by annual urban emissions data as a function of the given variables summed for cumulative urban emissions between 2020 and 2050. Related datasheets involve four scenarios SSP1-1.9, SSP1-2.6, SSP1-RE, and SSP1-RE-MC for 45 urban areas. The latter scenario extends local ambition-driven targets for 15 Mission Cities. The second domain with 4 datasheets focuses on the impacts of land use efficiency (LUE). Data contains LUE values per urban area, built-up area in the reference and future years, and the annual CO<sub>2</sub> sequestration penalty as a function of the urban area, its local biome, and LUE scenario in 5-year intervals between 2020 and 2050. These datasheets involve four scenarios LUE 5%, LUE 15%, LUE Av, and LUE Best scenarios. The third domain has 24 datasheets based on the mean, 5<sup>th</sup> percentile, and 95<sup>th</sup> percentile values of 10,000 Monte Carlo simulations for each scenario that summarises the results of 3.6 million cells of data (45 urban areas x 10,000 simulations x 8 scenarios). These later worksheets involve the annual urban emissions per urban area for cumulative urban emissions (SSP1-1.9, SSP1-2.6, SSP1-RE, and SSP1-RE-MC) and annual CO<sub>2</sub> sequestration penalty for cumulative CO<sub>2</sub> sequestration penalties (LUE 5%, LUE 15%, LUE Av, and LUE Best) based on the Monte Carlo simulation results. The data structure is described in the information sheet and the dataset contains a total of 55,309 cells of data. The method and results based on the data are described in the original article that is published in <em>Energy</em>. The dataset of this original research article should be cited as: Kılkış (2023), Dataset on Integrated Urban Scenarios (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7983041
DOI: 10.5281/zenodo.7983040
title: Dataset on Integrated Urban Scenarios

description: This dataset supports the original research article Kılkış (2023) on “<strong>Integrated urban scenarios of emissions, land use efficiency and benchmarking for climate neutrality and sustainability</strong>.” <br> <br> The dataset involves a total of 37 datasheets that are organised into three main domains as follows: The first domain contains 9 datasheets focused on urban emissions scenarios. Analysed and generated data on carbon footprint per capita, SSP1 urban population projections per urban area, mitigation ratio of emissions trends per scenario, and annual urban emissions in 5-year intervals between 2015 and 2050 are given. Such data is followed by annual urban emissions data as a function of the given variables summed for cumulative urban emissions between 2020 and 2050. Related datasheets involve four scenarios SSP1-1.9, SSP1-2.6, SSP1-RE, and SSP1-RE-MC for 45 urban areas. The latter scenario extends local ambition-driven targets for 15 Mission Cities. The second domain with 4 datasheets focuses on the impacts of land use efficiency (LUE). Data contains LUE values per urban area, built-up area in the reference and future years, and the annual CO<sub>2</sub> sequestration penalty as a function of the urban area, its local biome, and LUE scenario in 5-year intervals between 2020 and 2050. These datasheets involve four scenarios LUE 5%, LUE 15%, LUE Av, and LUE Best scenarios. The third domain has 24 datasheets based on the mean, 5<sup>th</sup> percentile, and 95<sup>th</sup> percentile values of 10,000 Monte Carlo simulations for each scenario that summarises the results of 3.6 million cells of data (45 urban areas x 10,000 simulations x 8 scenarios). These later worksheets involve the annual urban emissions per urban area for cumulative urban emissions (SSP1-1.9, SSP1-2.6, SSP1-RE, and SSP1-RE-MC) and annual CO<sub>2</sub> sequestration penalty for cumulative CO<sub>2</sub> sequestration penalties (LUE 5%, LUE 15%, LUE Av, and LUE Best) based on the Monte Carlo simulation results. The data structure is described in the information sheet and the dataset contains a total of 55,309 cells of data. The method and results based on the data are described in the original article that is published in <em>Energy</em>. The dataset of this original research article should be cited as: Kılkış (2023), Dataset on Integrated Urban Scenarios (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7983041
DOI: 10.6084/m9.figshare.23258087
title: Data and code from: Mitochondrial alternative oxidase across the tree of life: Presence, absence, and putative cases of lateral gene transfer.

description: Alternative oxidase (AOX) gene and protein sequences from species representatives across the tree of life. Multiple sequence aligments of AOX proteins and phylogenetic analyses based on them. R code used to produce figures for the manuscript.
DOI: 10.6084/m9.figshare.23258087.v1
title: Data and code from: Mitochondrial alternative oxidase across the tree of life: Presence, absence, and putative cases of lateral gene transfer.

description: Alternative oxidase (AOX) gene and protein sequences from species representatives across the tree of life. Multiple sequence aligments of AOX proteins and phylogenetic analyses based on them. R code used to produce figures for the manuscript.
DOI: 10.5281/zenodo.7955068
title: Sample Study on Avifaunal Diversity of East Sikkim during May 2023.

description: The Sample Study on Avifaunal Diversity of East Sikkim was conducted by Lina Chatterjee in the month of May 2023 and the identification and data analysis was done by Nature Mates-Nature Club team. This dataset covers the areas Rongli, Padamchen and Zuluk which lies under Pangolakha wildlife sanctuary, Thambi and Nathang. The study area cover varied habitats like hilly terrain, village landscape, mountain landscape, high altitude lake, valleys, snow-capped mountain, alpine, sub alpine, temperate forest with rhododendron plants and oak,silver fir, juniper, pine trees and bamboo thickets. All the species are identified up to the species level. A total of 121 species of birds are recorded belonging to 39 families and 9 orders. <strong>Sampling method</strong>: Point Count <strong>Contacts</strong> 1.Name: Arjan Basu Roy Position: Secretary Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: basuroyarjan@gmail.com Orcid : https://orcid.org/0000-0001-9872-3562 2.Name: Lina Chatterjee Position: Research Associate Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: lina.linachatterjee@gmail.com Orcid : https://orcid.org/0000-0002-5626-5046 3.Name: Tarak Samanta Position: Research Associate Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: taraksamanta995@gmail.com Orcid : https://orcid.org/0000-0001-6809-0549 4.Name: Sumana Besra Position: Intern Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email:sumanabesra1999@gmail.com Orcid : https://orcid.org/0000-0001-7222-2946 5.Name: Nivedita Sengupta Position: Research Associate Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: niveditasngpta.ns@gmail.com Orcid : https://orcid.org/0000-0003-1085-7385 6.Name: Vijay Barve Position: Research Advisor Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: vijay.barve@gmail.com Orcid : https://orcid.org/0000-0002-4852-2567 <strong>Home page</strong>: http://www.naturematesindia.org/
DOI: 10.5281/zenodo.7955067
title: Sample Study on Avifaunal Diversity of East Sikkim during May 2023.

description: The Sample Study on Avifaunal Diversity of East Sikkim was conducted by Lina Chatterjee in the month of May 2023 and the identification and data analysis was done by Nature Mates-Nature Club team. This dataset covers the areas Rongli, Padamchen and Zuluk which lies under Pangolakha wildlife sanctuary, Thambi and Nathang. The study area cover varied habitats like hilly terrain, village landscape, mountain landscape, high altitude lake, valleys, snow-capped mountain, alpine, sub alpine, temperate forest with rhododendron plants and oak,silver fir, juniper, pine trees and bamboo thickets. All the species are identified up to the species level. A total of 121 species of birds are recorded belonging to 39 families and 9 orders. <strong>Sampling method</strong>: Point Count <strong>Contacts</strong> 1.Name: Arjan Basu Roy Position: Secretary Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: basuroyarjan@gmail.com Orcid : https://orcid.org/0000-0001-9872-3562 2.Name: Lina Chatterjee Position: Research Associate Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: lina.linachatterjee@gmail.com Orcid : https://orcid.org/0000-0002-5626-5046 3.Name: Tarak Samanta Position: Research Associate Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: taraksamanta995@gmail.com Orcid : https://orcid.org/0000-0001-6809-0549 4.Name: Sumana Besra Position: Intern Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email:sumanabesra1999@gmail.com Orcid : https://orcid.org/0000-0001-7222-2946 5.Name: Nivedita Sengupta Position: Research Associate Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: niveditasngpta.ns@gmail.com Orcid : https://orcid.org/0000-0003-1085-7385 6.Name: Vijay Barve Position: Research Advisor Organization: Nature Mates-Nature Club Address: 6/7 Bijoygarh Kolkata-700032 Email: vijay.barve@gmail.com Orcid : https://orcid.org/0000-0002-4852-2567 <strong>Home page</strong>: http://www.naturematesindia.org/
DOI: 10.25919/8nyc-wf09
title: Parkes observations for project P1194 semester 2023APRS_09

description: Among nearly 2000 unidentified gamma-ray sources detected with the Fermi Gamma Ray Space Telescope, there are potentially many pulsars. The ultra-wide frequency coverage will enable us to detect MSPs with steep spectrum and avoid difficulties caused by interstellar scintillation and dispersive and scattering smearing. We propose to revisit highly ranked pulsar candidates that remain unidentified. Such a pilot survey will help us designing future searches of the coming 4FGL gamma-ray source catalog using the UWL. We select 11 targets and request 12 hour time in total.
DOI: 10.5517/ccdc.csd.cc2cydlb
title: CCDC 2203002: Experimental Crystal Structure Determination

description: Related Article: Qin Jiang, Ting Yang, Qi Li, Guang-Ming Liang, Yong Liu, Cheng-Yu He, Wen-Dao Chu, Quan-Zhong Liu|2023|Org.Lett.|25|3184|doi:10.1021/acs.orglett.3c00192
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/ccdc.csd.cc2d0jb9
title: CCDC 2205040: Experimental Crystal Structure Determination

description: Related Article: Qin Jiang, Ting Yang, Qi Li, Guang-Ming Liang, Yong Liu, Cheng-Yu He, Wen-Dao Chu, Quan-Zhong Liu|2023|Org.Lett.|25|3184|doi:10.1021/acs.orglett.3c00192
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/ccdc.csd.cc2cydmc
title: CCDC 2203003: Experimental Crystal Structure Determination

description: Related Article: Qin Jiang, Ting Yang, Qi Li, Guang-Ming Liang, Yong Liu, Cheng-Yu He, Wen-Dao Chu, Quan-Zhong Liu|2023|Org.Lett.|25|3184|doi:10.1021/acs.orglett.3c00192
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/ccdc.csd.cc2d9vsc
title: CCDC 2214013: Experimental Crystal Structure Determination

description: Related Article: Qin Jiang, Ting Yang, Qi Li, Guang-Ming Liang, Yong Liu, Cheng-Yu He, Wen-Dao Chu, Quan-Zhong Liu|2023|Org.Lett.|25|3184|doi:10.1021/acs.orglett.3c00192
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/ccdc.csd.cc2dp87m
title: CCDC 2224970: Experimental Crystal Structure Determination

description: Related Article: ZhiWei Yang, LongChao Du|2023|RSC Advances|13|13930|doi:10.1039/D3RA01742G
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/ccdc.csd.cc2dpx9b
title: CCDC 2225592: Experimental Crystal Structure Determination

description: Related Article: Trishna Rajbongshi, Kashyap Kumar Sarmah, Susobhan Das, Poonam Deka, Arijit Saha, Binoy K. Saha, Horst Puschmann, C. Malla Reddy, Ranjit Thakuria|2023|Chem.Commun.|59|3902|doi:10.1039/D2CC06860E
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/ccdc.csd.cc2dr50c
title: CCDC 2226792: Experimental Crystal Structure Determination

description: Related Article: Martin Nastran, Berthold Stöger|2023|Cryst.Growth Des.|23|2689|doi:10.1021/acs.cgd.2c01492
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/ccdc.csd.cc2dzjpm
title: CCDC 2233881: Experimental Crystal Structure Determination

description: Related Article: Poornenth Pushpanandan, Kanhu Charan Behera, Mangalampalli Ravikanth|2023|Dalton Trans.|52|6882|doi:10.1039/D3DT00476G
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/ccdc.csd.cc2cn90c
title: CCDC 2194242: Experimental Crystal Structure Determination

description: Related Article: Hui-Peng Lv, Yi-Rong Li, Xian-Jiang Song, Nan Zhang, Ren-Gen Xiong, Han-Yue Zhang|2023|J.Am.Chem.Soc.|145|3187|doi:10.1021/jacs.2c12951
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.