cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2wjfp32r5g.1
title: Data for: Genetic polymorphism under cyclical selection in long-lived species: the complex effect of age structure and maternal selection

description: I. The program Poly_map_2age produces maps classifying possibility of polymorphism maintenance for 2-age population under cyclical selection for two cases: (i) maternal selection (Eq. 5), (ii) simple gene (Eq. 6) in text format. a. Output notation: 0 and 1 are monomorphism, 3 is polymorphism, 4 is bistability region. b. To start: poly_map_2age.exe INP x_s.csv x_m.csv c. C++ cod (“poly_map_2age.CPP”), Input, and Output files examples are given in the current directory; II. Color_maps.R (script in R) transforms text output (“x_s.csv” and “x_m.csv”) to color image III. Poly_int_uniform.R (script in R) allows constructing figures with a. coexistence conditions for four- and three-year cycles with value variations of the parameter m. Separetedly for maternal selection (Eq. 2) and .simple gene (Eq. 1) b. coexistence conditions for N-year cycles at any fixed value of m.
DOI: 10.5281/zenodo.4419697
title: Waveform Data -EVCharger_Lab

description: Measurement of EV with the on-board charger connected to supply voltage in the laboratory. Waveform includes EMI with switching frequency of a charger (at around 27 kHz) and its 2<sup>nd</sup> harmonic.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.13522064
title: Supplementary Material for: Identification of Hub Genes Associated with the Development of Acute Kidney Injury by Weighted Gene Co-Expression Network Analysis

description: <b><i>Background:</i></b> Acute kidney injury (AKI) is a severe clinical syndrome, causing a profound medical and socioeconomic burden worldwide. This study aimed to explore underlying molecular targets related to the progression of AKI. <b><i>Methods:</i></b> A public database originated from the NCBI GEO database (serial number: GSE121190) and a well-established and unbiased method of weighted gene co-expression network analysis (WGCNA) to identify hub genes and potential pathways were used. Furthermore, the unbiased hub genes were validated in 2 classic models of AKI in a rodent model: chemically established AKI by cisplatin- and ischemia reperfusion-induced AKI. <b><i>Results:</i></b> A total of 17 modules were finally obtained by the unbiased method of WGCNA, where the genes in turquoise module displayed strong correlation with the development of AKI. In addition, the results of gene ontology revealed that the genes in turquoise module were involved in renal injury and renal fibrosis. Thus, the hub genes were further validated by experimental methods and primarily obtained Rplp1 and Lgals1 as key candidate genes related to the progression of AKI by the advantage of quantitative PCR, Western blotting, and in situ tissue fluorescence. Importantly, the expression of Rplp1 and Lgals1 at the protein level showed positive correlation with renal function, including serum Cr and BUN. <b><i>Conclusions:</i></b> By the advantage of unbiased bioinformatic method and consequent experimental verification, this study lays the foundation basis for the pathogenesis and therapeutic agent development of AKI.
DOI: 10.6084/m9.figshare.13522064.v1
title: Supplementary Material for: Identification of Hub Genes Associated with the Development of Acute Kidney Injury by Weighted Gene Co-Expression Network Analysis

description: <b><i>Background:</i></b> Acute kidney injury (AKI) is a severe clinical syndrome, causing a profound medical and socioeconomic burden worldwide. This study aimed to explore underlying molecular targets related to the progression of AKI. <b><i>Methods:</i></b> A public database originated from the NCBI GEO database (serial number: GSE121190) and a well-established and unbiased method of weighted gene co-expression network analysis (WGCNA) to identify hub genes and potential pathways were used. Furthermore, the unbiased hub genes were validated in 2 classic models of AKI in a rodent model: chemically established AKI by cisplatin- and ischemia reperfusion-induced AKI. <b><i>Results:</i></b> A total of 17 modules were finally obtained by the unbiased method of WGCNA, where the genes in turquoise module displayed strong correlation with the development of AKI. In addition, the results of gene ontology revealed that the genes in turquoise module were involved in renal injury and renal fibrosis. Thus, the hub genes were further validated by experimental methods and primarily obtained Rplp1 and Lgals1 as key candidate genes related to the progression of AKI by the advantage of quantitative PCR, Western blotting, and in situ tissue fluorescence. Importantly, the expression of Rplp1 and Lgals1 at the protein level showed positive correlation with renal function, including serum Cr and BUN. <b><i>Conclusions:</i></b> By the advantage of unbiased bioinformatic method and consequent experimental verification, this study lays the foundation basis for the pathogenesis and therapeutic agent development of AKI.
DOI: 10.5281/zenodo.4415389
title: SHELIXIR - examples

description: This archive contains example runs of SHELIXIR - a tool for fast and efficient experimental phasing. Program website: https://kmlinux.fjfi.cvut.cz/~kolenpe1/shelixir
DOI: 10.5281/zenodo.4080381
title: SHELIXIR - examples

description: This archive contains example runs of SHELIXIR - a tool for fast and efficient experimental phasing. Program website: https://kmlinux.fjfi.cvut.cz/~kolenpe1/shelixir
DOI: 10.4119/unibi/2945856
title: Head-thorax orientation of Bombus terrestris during learning flights

description: Recordings of the head and thorax orientation during the learning flights of bumblebees, Bombus Terrestris. The gitlab contains the recordings and the analyses performed for the following publications: Doussot et al 2020 (Title to be added), Odenthal et al 2020 (Title to be added).
DOI: 10.6084/m9.figshare.12612188.v4
title: Supplementary-File-S2.xls

description: Taxonomic information of copepods associated bacteriobiome of five different marine copepods<br>
DOI: 10.6084/m9.figshare.12612182.v4
title: Supplementary File-S1.xls

description: Copepods associated bacteribiome in five different marine copepods<br>
DOI: 10.5281/zenodo.4419735
title: Spectral Induced Polarization (SIP) field data sets for comparison between time and frequency domain (Martin et al. 2020)

description: Data and scripts for the scientific journal article: Martin, T., Günther, T., Flores Orozco, A. & Dahlin, T. (2020): <br> Evaluation of spectral induced polarization field measurements in time and frequency domain, <br> J. Appl. Geophys., 180, 104141, doi:10.1016/j.jappgeo.2020.104141. The paper deals with the comparison of instruments for measuring induced polarization (IP)<br> data, both in frequency domain (FD) as well in time-domain. Four instruments have been used<br> to measure two profiles (IP1: a=1m, IP5: a=5m) over a known blackshale near the town Schleiz<br> in Thuringia, Germany. Preface: Our vision is not only to publish scientific results, but also openly demonstrate<br> how the results have been produced. This includes the raw data, processed data and inversion<br> results, but also all scripts that have been used for it in a reproducible way.<br> The scripts use the pyBERT (Python Boundless Electrical Resistivity Tomography) based on the<br> pyGIMLi (Python Geophysical Inversion and Modelling Library) computational framework.<br> Here, we used the pyBERT version 2.3.1 based on pygimli 1.1.1, but it should be reachable by<br> similar versions as well. All is based on the classes FDIPdata and TDIPdata.<br> For installing, we refer to the webpages www.pygimli.org and gitlab.com/resistivity-net/bert Folders:<br> figures figures used for production process, generated by the scripts in the folder<br> scripts Python scripts for generating the pdf files<br> IP1 data for the shallow profile using an electrode spacing of a=1m<br> IP5 data for the deeper profile using an electrode spacing of a=5m Each of the two data folders contains data and inversion results in separated folder named<br> according to the instrument names: <br> * SIP256C (Radic Research) - FDIP instrument with remote units (intelligent electrodes)<br> * DAS-1 (Multi-Phase Technology) - FDIP and TDIP instrument using multi-core cables<br> * Terrameter LS2 (GuidelineGeo ABEM) - TDIP instrument using multi-core cables<br> * Syscal Pro Switch72 (Iris instruments) - TDIP instrument using multi-core cables Please see readme files in the individual folders for specific information. Notice: In additon to the published results, we also added more data from the field <br> measurements which completes our results, e.g. <br> - TDIP data with 8s aquisition time<br> - all four instruments for the long profile IP5 Complete full-waveform data for the Terrameter LS2 are available on request.
description: {"references": ["Martin, T., G\u00fcnther, T., Flores Orozco, A. & Dahlin, T. (2020): Evaluation of spectral induced polarization field measurements in time and frequency domain, J. Appl. Geophys., 180, 104141, doi:10.1016/j.jappgeo.2020.104141."]}
DOI: 10.11583/dtu.13522037
title: data for: Genetic stock identification of sea trout (Salmo trutta L.) along the British North Sea coast shows prevalent long-distance migration

description: The file is a comma-separated text file, where each row gives a list of 189 genotypes; one row per individual (1472 total). Each individual is denoted by its collection ID, given as a 'River' following Table 1 in Bekkevold et al. (DOI:10.1093/icesjms/fsaa240),followed by an underscore (_), followed by 'Individual number'. Individual SNP locus names are given in the top row. Genotypes are given as the copy number of the major allele (0,1,2). Missing genotypes are given as 9.<br>
DOI: 10.11583/dtu.13522037.v1
title: data for: Genetic stock identification of sea trout (Salmo trutta L.) along the British North Sea coast shows prevalent long-distance migration

description: The file is a comma-separated text file, where each row gives a list of 189 genotypes; one row per individual (1472 total). Each individual is denoted by its collection ID, given as a 'River' following Table 1 in Bekkevold et al. (DOI:10.1093/icesjms/fsaa240),followed by an underscore (_), followed by 'Individual number'. Individual SNP locus names are given in the top row. Genotypes are given as the copy number of the major allele (0,1,2). Missing genotypes are given as 9.<br>
DOI: 10.5281/zenodo.3773819
title: GGCMI Phase 2 masks and growing season input data

description: Growing season data for crops as supplied to modelers in the GGCMI Phase 2 experiment (Franke et al. 2020). Other than for wheat, which is split in spring wheat and winter wheat in Phase 2, the growing season input data is the same as in Phase 1 (Elliott et al. 2015). A boolean mask on what regions can be excluded from the simulations, modeling all crops and irrigation systems everywhere otherwise. A mask assigning harvested wheat areas to winter or spring wheat. References: Franke J, Müller C, Elliott J, Ruane AC, Jagermeyr J, Balkovic J, Ciais P, Dury M, Falloon P, Folberth C, Francois L, Hank T, Hoffmann M, Izaurralde RC, Jacquemin I, Jones C, Khabarov N, Koch M, Li M, Liu W, Olin S, Phillips M, Pugh TAM, Reddy A, Wang X, Williams K, Zabel F, and Moyer E. 2020, The GGCMI Phase II experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0), Geosci. Model Dev. Discuss., 2019, 1-30, doi: 10.5194/gmd-2019-237 Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015.
description: {"references": ["Franke JA, M\u00fcller C, Elliott J, Ruane AC, J\u00e4germeyr J, Balkovic J, Ciais P, Dury M, Falloon PD, Folberth C, Fran\u00e7ois L, Hank T, Hoffmann M, Izaurralde RC, Jacquemin I, Jones C, Khabarov N, Koch M, Li M, Liu W, Olin S, Phillips M, Pugh TAM, Reddy A, Wang X, Williams K, Zabel F, and Moyer EJ. 2020, The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0), Geosci. Model Dev., 13, 2315-2336, doi: 10.5194/gmd-13-2315-2020", "Elliott J, M\u00fcller C, Deryng D, Chryssanthacopoulos J, Boote KJ, B\u00fcchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015."]}
DOI: 10.5281/zenodo.4028432
title: Data_share

description: This dataset contains the subsets of the high-resolution orthophoto-maps that were used for an accuracy assessment study described at the manuscript entitled: "The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment". The manuscript is submitted for publication at the <em>ISPRS International Journal of Geo-Information.</em>
DOI: 10.5281/zenodo.4028431
title: Data_share

description: This dataset contains the subsets of the high-resolution orthophoto-maps that were used for an accuracy assessment study described at the manuscript entitled: "The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment". The manuscript is submitted for publication at the <em>ISPRS International Journal of Geo-Information.</em>
DOI: 10.5517/ccdc.csd.cc1nwn39
title: CCDC 1545911: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Xiang-Bin Han, Wen Zhang|2017|Chem.-Eur.J.|23|11126|doi:10.1002/chem.201702228
DOI: 10.5517/ccdc.csd.cc1nwn4b
title: CCDC 1545912: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Xiang-Bin Han, Wen Zhang|2017|Chem.-Eur.J.|23|11126|doi:10.1002/chem.201702228
DOI: 10.5517/ccdc.csd.cc1nwn5c
title: CCDC 1545913: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Xiang-Bin Han, Wen Zhang|2017|Chem.-Eur.J.|23|11126|doi:10.1002/chem.201702228
DOI: 10.5517/ccdc.csd.cc1nwn6d
title: CCDC 1545914: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Xiang-Bin Han, Wen Zhang|2017|Chem.-Eur.J.|23|11126|doi:10.1002/chem.201702228
DOI: 10.5517/ccdc.csd.cc1nwn7f
title: CCDC 1545915: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Xiang-Bin Han, Wen Zhang|2017|Chem.-Eur.J.|23|11126|doi:10.1002/chem.201702228
DOI: 10.5517/ccdc.csd.cc26l9w0
title: CCDC 2043392: Experimental Crystal Structure Determination

description: Related Article: R.N. Rutherford, S. Ura, T.-H. Chan, K. Fukumoto, T. Nishioka, A. Renzetti|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1085|doi:10.1107/S2053229620014916
DOI: 10.5517/ccdc.csd.cc26l9x1
title: CCDC 2043393: Experimental Crystal Structure Determination

description: Related Article: R.N. Rutherford, S. Ura, T.-H. Chan, K. Fukumoto, T. Nishioka, A. Renzetti|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1085|doi:10.1107/S2053229620014916
DOI: 10.5517/ccdc.csd.cc26l9y2
title: CCDC 2043394: Experimental Crystal Structure Determination

description: Related Article: R.N. Rutherford, S. Ura, T.-H. Chan, K. Fukumoto, T. Nishioka, A. Renzetti|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1085|doi:10.1107/S2053229620014916
DOI: 10.5517/ccdc.csd.cc26l9z3
title: CCDC 2043395: Experimental Crystal Structure Determination

description: Related Article: R.N. Rutherford, S. Ura, T.-H. Chan, K. Fukumoto, T. Nishioka, A. Renzetti|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1085|doi:10.1107/S2053229620014916
DOI: 10.5517/ccdc.csd.cc26lb05
title: CCDC 2043396: Experimental Crystal Structure Determination

description: Related Article: R.N. Rutherford, S. Ura, T.-H. Chan, K. Fukumoto, T. Nishioka, A. Renzetti|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1085|doi:10.1107/S2053229620014916
DOI: 10.5517/ccdc.csd.cc26lb16
title: CCDC 2043397: Experimental Crystal Structure Determination

description: Related Article: R.N. Rutherford, S. Ura, T.-H. Chan, K. Fukumoto, T. Nishioka, A. Renzetti|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1085|doi:10.1107/S2053229620014916
DOI: 10.5517/ccdc.csd.cc2481zg
title: CCDC 1973955: Experimental Crystal Structure Determination

description: Related Article: Y. Zuo, J. Yang, C. Chen, Y.-S. Xue, J. Zhang|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1076|doi:10.1107/S2053229620015260
DOI: 10.5517/ccdc.csd.cc24820j
title: CCDC 1973956: Experimental Crystal Structure Determination

description: Related Article: Y. Zuo, J. Yang, C. Chen, Y.-S. Xue, J. Zhang|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|1076|doi:10.1107/S2053229620015260
DOI: 10.5517/ccdc.csd.cc26vwcb
title: CCDC 2051622: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Miyuki Maekawa, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwdc
title: CCDC 2051623: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Miyuki Maekawa, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwfd
title: CCDC 2051624: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Miyuki Maekawa, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwqp
title: CCDC 2051633: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Alexandra Trambitas, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwrq
title: CCDC 2051634: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Alexandra Trambitas, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwsr
title: CCDC 2051635: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Alexandra Trambitas, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwts
title: CCDC 2051636: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Alexandra Trambitas, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwxw
title: CCDC 2051639: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Andreas Glöckner, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwyx
title: CCDC 2051640: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Andreas Glöckner, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vwzy
title: CCDC 2051641: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Andreas Glöckner, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vx00
title: CCDC 2051642: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Andreas Glöckner, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vx11
title: CCDC 2051643: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Andreas Glöckner, Matthias Tamm|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vxrr
title: CCDC 2051665: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vxss
title: CCDC 2051666: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vxtt
title: CCDC 2051667: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vxvv
title: CCDC 2051668: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vxyy
title: CCDC 2051671: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vy23
title: CCDC 2051675: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vy45
title: CCDC 2051677: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26vygh
title: CCDC 2051687: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.13253837
title: Tetraclinis articulata chorology

description: Distribution map of Barbary thuja (<i>Tetraclinis articulata</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn").<br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01