cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4266543
title: Simulated time series and indicators for the Omo-Turkana Basin case study

description: The archive includes: daily time series over 2021-2099 time horizon of different physical variables, simulated by the Water Energy Food Integrated Model on the Omo Turkana River Basin for the 6 interesting pathways identified in the Negotiation Simulation Lab meeting; a set of evaluation indicators, aggregated at different spatial and temporal scales, for the 6 interesting pathways. More details on physical variables and indicators included are available in the DAFNE Deliverable D7.3. Files are provided in the <em>csv </em>format, one per each physical variable or indicator: the first 13 rows contain metadata, while data starts at row 14 and use as many columns as the pathways considered. Metadata are the following: <em>name</em>, time series or indicaror label <em>author, </em>reference person or team for the specific time series <em>created,</em> timestamp of the file creation <em>description, </em>description of file content <em>unit, </em>unit of measurement <em>origin, </em>description of the simulation <em>time_sampling,</em> whether the variable is sampled at a given point in time (instantaneous) or represents a time interval (interval) <em>frequency, </em>time step of the time series <em>scenario, </em>label of scenario <em>marker_id, </em>label of the related model component <em>id_type, </em>type of time series <em>timestart,timeend,P1,P2,P3,P4,P5,P6 : </em>header row of the data, with time information (in the matlab datenum format) at the beginning and pathways on each column
DOI: 10.6084/m9.figshare.13273175.v1
title: QC_Sepsis_141020.xlsx

description: <i>Quality control of raw reads before trimming, after trimming, uniquely mapped reads and percentage of mapped reads. </i>
DOI: 10.6084/m9.figshare.13273175
title: QC_Sepsis_141020.xlsx

description: <i>Quality control of raw reads before trimming, after trimming, uniquely mapped reads and percentage of mapped reads. </i>
DOI: 10.3204/pubdb-2020-04550
title: Fe(II)-3-grid_100K_off2, CCDC No: 1942342 (2020)
DOI: 10.3204/pubdb-2020-04549
title: Fe(II)-3-grid_100K_-80ps, CCDC No: 1942341 (2020)
DOI: 10.3204/pubdb-2020-04544
title: Fe(II)-3-grid_100K_-100ps, CCDC No: 1942336 (2020)
DOI: 10.6084/m9.figshare.13273196
title: Dose-dependant reduction of sucrose acceptance by ants via the addition of quinine

description: This is the raw data and a brief write-up of a project examining the effect of quinine on the acceptability of sucrose to the ant <i>Lasius niger</i>. It includes a brief abstract/summary, a methods description, and a visual presentation of the results<br>
DOI: 10.3204/pubdb-2020-04545
title: Fe(II)-3-grid_100K_-60ps, CCDC No: 1942337 (202
DOI: 10.3204/pubdb-2020-04546
title: Fe(II)-3-grid_100K_80ps, CCDC No: 1942338 (2020)
DOI: 10.3204/pubdb-2020-04548
title: Fe(II)-3-grid_100K_off3, CCDC No: 1942340 (2020)
DOI: 10.5258/soton/d1511
title: Dataset: Respiratory Mask Goodness of Fit Evaluation

description: Respiratory Mask Goodness of Fit Evaluation using AmpScan 3D image registration software. Dataset supports: J.W.R Verberne, P.R. Worsley, D.L. Bader. A 3D registration methodology to evaluate the goodness of fit at the individual-respiratory mask interface, Computer Methods in Biomechanics and Biomedical Engineering, http://dx.doi.org/10.1080/10255842.2020.1849156
DOI: 10.6084/m9.figshare.13273199.v1
title: southSLA.xlsx

description: 1992-2019年南海高度异常数据
DOI: 10.6084/m9.figshare.13273199
title: southSLA.xlsx

description: 1992-2019年南海高度异常数据
DOI: 10.5281/zenodo.4286040
title: Automated design of synthetic microbial communities

description: In naturally occurring microbial systems, species rarely exist in isolation. There is strong ecological evidence for a positive relationship between species diversity and the functional output of communities. The pervasiveness of these communities in nature highlights that there may be advantages for engineered strains to exist in cocultures as well. Building synthetic microbial communities allows us to create distributed systems that mitigates issues often found in engineering a monoculture, especially when functional complexity is increasing. Here, we demonstrate a methodology for designing robust synthetic communities that use quorum sensing to control amensal bacteriocin interactions in a chemostat environment. We explore model spaces for two and three strain systems, using Bayesian methods to perform model selection, and identify the most robust candidates for producing stable steady state communities. Our findings highlight important interaction motifs that provide stability, and identify requirements for selecting genetic parts and tuning the community composition.
DOI: 10.5281/zenodo.4031212
title: Automated design of synthetic microbial communities

description: In naturally occurring microbial systems, species rarely exist in isolation. There is strong ecological evidence for a positive relationship between species diversity and the functional output of communities. The pervasiveness of these communities in nature highlights that there may be advantages for engineered strains to exist in cocultures as well. Building synthetic microbial communities allows us to create distributed systems that mitigates issues often found in engineering a monoculture, especially when functional complexity is increasing. Here, we demonstrate a methodology for designing robust synthetic communities that use quorum sensing to control amensal bacteriocin interactions in a chemostat environment. We explore model spaces for two and three strain systems, using Bayesian methods to perform model selection, and identify the most robust candidates for producing stable steady state communities. Our findings highlight important interaction motifs that provide stability, and identify requirements for selecting genetic parts and tuning the community composition.
DOI: 10.5281/zenodo.4277777
title: Artifacts for Incremental Search for Conflict and Unit Instances of Quantified Formulas with E-Matching

description: This zip file contains the artifacts for the paper: J. Hoenicke and T. Schindler, <em>Incremental Search for Conflict and Unit Instances of Quantified Formulas with E-Matching, </em>VMCAI 2021, Springer The artifact is tested to work in the VMCAI 2021 virtual machine: https://doi.org/10.5281/zenodo.4017292.
description: {"references": ["J. Hoenicke and T. Schindler, Incremental Search for Conflict and Unit Instances of Quantified Formulas with E-Matching,\u00a0VMCAI 2021, Springer"]}
DOI: 10.5281/zenodo.4277776
title: Artifacts for Incremental Search for Conflict and Unit Instances of Quantified Formulas with E-Matching

description: This zip file contains the artifacts for the paper: J. Hoenicke and T. Schindler, <em>Incremental Search for Conflict and Unit Instances of Quantified Formulas with E-Matching, </em>VMCAI 2021, Springer The artifact is tested to work in the VMCAI 2021 virtual machine: https://doi.org/10.5281/zenodo.4017292.
description: {"references": ["J. Hoenicke and T. Schindler, Incremental Search for Conflict and Unit Instances of Quantified Formulas with E-Matching,\u00a0VMCAI 2021, Springer"]}
DOI: 10.5281/zenodo.4282607
title: Võõrkeelsete raamatute väljaandmine Eestis

description: Mitteeestikeelsete raamatute väljaandmine Eestis 19. sajandi lõpus ja 20. sajandi alguses
DOI: 10.5281/zenodo.4160797
title: Underlying data of publication T. Jahnke et al., JES 167 (2020) 013523; DOI: 10.1149/2.0232001JES

description: This data set contains the underlying data of the publication T. Jahnke et al., JES 167 (2020) 013523 File underlying_data.xlsx contains all data shown in Fig. 1, 2, 3, 4, 5 and 8. The data of the 2D plots in Fig. 6 and 7 is provided in separate vtu-files.
DOI: 10.5281/zenodo.4160796
title: Underlying data of publication T. Jahnke et al., JES 167 (2020) 013523; DOI: 10.1149/2.0232001JES

description: This data set contains the underlying data of the publication T. Jahnke et al., JES 167 (2020) 013523 File underlying_data.xlsx contains all data shown in Fig. 1, 2, 3, 4, 5 and 8. The data of the 2D plots in Fig. 6 and 7 is provided in separate vtu-files.
DOI: 10.6084/m9.figshare.13273223
title: AREmountGuglielmoOccupancyData.xlsx

description: This dataset contain the raw data supporting the analysed of a paper titled " <b>The upward elevational shifts of pond breeding amphibians following climate warming </b>" by R. tiberti, M. Mangiacotti and R. Bennati. It is divided into 2 data sheets:<br>1) <b>sites and sampling efforts: </b>here sampling sites (ponds) are named according to an identification alphanumeric code and they are associated to geographic data (Longitude and Latitude in UTM coordinates zone 32T, altitude in m a.s.l.). The sampling efforts for each pond (i.e., number of field survey per year from 2005 to 2019) are also reported<br>2) <b>observed occupancy:</b> here the occupancy of three amphibians species (Rana temporaria, Bufo bufo and Triturus carnifex) at each site and year are reported as a binary variable (0 absence, 1 presence)
DOI: 10.6084/m9.figshare.13273223.v1
title: AREmountGuglielmoOccupancyData.xlsx

description: This dataset contain the raw data supporting the analysed of a paper titled " <b>The upward elevational shifts of pond breeding amphibians following climate warming </b>" by R. tiberti, M. Mangiacotti and R. Bennati. It is divided into 2 data sheets:<br>1) <b>sites and sampling efforts: </b>here sampling sites (ponds) are named according to an identification alphanumeric code and they are associated to geographic data (Longitude and Latitude in UTM coordinates zone 32T, altitude in m a.s.l.). The sampling efforts for each pond (i.e., number of field survey per year from 2005 to 2019) are also reported<br>2) <b>observed occupancy:</b> here the occupancy of three amphibians species (Rana temporaria, Bufo bufo and Triturus carnifex) at each site and year are reported as a binary variable (0 absence, 1 presence)
DOI: 10.5281/zenodo.4286156
title: Individual data for turkeys treated with enrofloxacin according to a non-linear dosage protocol

description: Dataset of individual values associated with the manuscript "Allometric optimization of enrofloxacin dosage in growing male turkeys – empirical evidence for improved internal exposure" authored by Błażej Poźniak et al.
DOI: 10.5281/zenodo.4286155
title: Individual data for turkeys treated with enrofloxacin according to a non-linear dosage protocol

description: Dataset of individual values associated with the manuscript "Allometric optimization of enrofloxacin dosage in growing male turkeys – empirical evidence for improved internal exposure" authored by Błażej Poźniak et al.
DOI: 10.5517/ccdc.csd.cc23yt30
title: CCDC 1965062: Experimental Crystal Structure Determination

description: Related Article: Wenchao Chen, Esther Cai Xia Ang, Siu Min Tan, Zhijie Chua, Jingyun Ren, Ziqi Yang, Bo Teng, Richmond Lee, Haihua Lu, Choon-Hong Tan|2020|J.Am.Chem.Soc.|142|19065|doi:10.1021/jacs.0c00183
DOI: 10.5517/ccdc.csd.cc23yt41
title: CCDC 1965063: Experimental Crystal Structure Determination

description: Related Article: Wenchao Chen, Esther Cai Xia Ang, Siu Min Tan, Zhijie Chua, Jingyun Ren, Ziqi Yang, Bo Teng, Richmond Lee, Haihua Lu, Choon-Hong Tan|2020|J.Am.Chem.Soc.|142|19065|doi:10.1021/jacs.0c00183
DOI: 10.5517/ccdc.csd.cc23yt52
title: CCDC 1965064: Experimental Crystal Structure Determination

description: Related Article: Wenchao Chen, Esther Cai Xia Ang, Siu Min Tan, Zhijie Chua, Jingyun Ren, Ziqi Yang, Bo Teng, Richmond Lee, Haihua Lu, Choon-Hong Tan|2020|J.Am.Chem.Soc.|142|19065|doi:10.1021/jacs.0c00183
DOI: 10.5517/ccdc.csd.cc20s140
title: CCDC 1870141: Experimental Crystal Structure Determination

description: Related Article: Muhammad Imran, Zia ur Rehman, Graeme Hogarth, Derek A. Tocher, Gul-e-Saba Chaudhry, Ian S. Butler, Francine Bélanger-Gariepy, Tamara Kondratyuk|2020|Dalton Trans.|49|15385|doi:10.1039/D0DT03018J
DOI: 10.5517/ccdc.csd.cc22b0m2
title: CCDC 1916253: Experimental Crystal Structure Determination

description: Related Article: Muhammad Imran, Zia ur Rehman, Graeme Hogarth, Derek A. Tocher, Gul-e-Saba Chaudhry, Ian S. Butler, Francine Bélanger-Gariepy, Tamara Kondratyuk|2020|Dalton Trans.|49|15385|doi:10.1039/D0DT03018J
DOI: 10.5517/ccdc.csd.cc25th4n
title: CCDC 2020491: Experimental Crystal Structure Determination

description: Related Article: Yulia P. Tupolova, Igor N. Shcherbakov, Leonid D. Popov, Roman B. Morgunov, Denis V. Korchagin, Vladimir E. Lebedev, Andrew V. Palii, Sergey M. Aldoshin|2020|Dalton Trans.|49|15592|doi:10.1039/D0DT02747B
DOI: 10.5517/ccdc.csd.cc25x9dt
title: CCDC 2023196: Experimental Crystal Structure Determination

description: Related Article: Wenchao Chen, Esther Cai Xia Ang, Siu Min Tan, Zhijie Chua, Jingyun Ren, Ziqi Yang, Bo Teng, Richmond Lee, Haihua Lu, Choon-Hong Tan|2020|J.Am.Chem.Soc.|142|19065|doi:10.1021/jacs.0c00183
DOI: 10.5517/ccdc.csd.cc25xs63
title: CCDC 2023655: Experimental Crystal Structure Determination

description: Related Article: Pankaj Kalita, Prakash Nayak, Naushad Ahmed, Juan Manuel Herrera, Krishnan Venkatasubbaiah, Enrique Colacio, Vadapalli Chandrasekhar|2020|Dalton Trans.|49|15404|doi:10.1039/D0DT03054F
DOI: 10.5517/ccdc.csd.cc25xsfb
title: CCDC 2023662: Experimental Crystal Structure Determination

description: Related Article: Pankaj Kalita, Prakash Nayak, Naushad Ahmed, Juan Manuel Herrera, Krishnan Venkatasubbaiah, Enrique Colacio, Vadapalli Chandrasekhar|2020|Dalton Trans.|49|15404|doi:10.1039/D0DT03054F
DOI: 10.5517/ccdc.csd.cc25xsgc
title: CCDC 2023663: Experimental Crystal Structure Determination

description: Related Article: Pankaj Kalita, Prakash Nayak, Naushad Ahmed, Juan Manuel Herrera, Krishnan Venkatasubbaiah, Enrique Colacio, Vadapalli Chandrasekhar|2020|Dalton Trans.|49|15404|doi:10.1039/D0DT03054F
DOI: 10.5517/ccdc.csd.cc25xsjf
title: CCDC 2023665: Experimental Crystal Structure Determination

description: Related Article: Pankaj Kalita, Prakash Nayak, Naushad Ahmed, Juan Manuel Herrera, Krishnan Venkatasubbaiah, Enrique Colacio, Vadapalli Chandrasekhar|2020|Dalton Trans.|49|15404|doi:10.1039/D0DT03054F
DOI: 10.5517/ccdc.csd.cc228clb
title: CCDC 1914671: Experimental Crystal Structure Determination

description: Related Article: Bidyut Kumar Kundu, Pragti, Shaikh M. Mobin, Suman Mukhopadhyay|2020|Dalton Trans.|49|15481|doi:10.1039/D0DT02941F
DOI: 10.5517/ccdc.csd.cc228ck9
title: CCDC 1914670: Experimental Crystal Structure Determination

description: Related Article: Bidyut Kumar Kundu, Pragti, Shaikh M. Mobin, Suman Mukhopadhyay|2020|Dalton Trans.|49|15481|doi:10.1039/D0DT02941F
DOI: 10.5517/ccdc.csd.cc25tyqp
title: CCDC 2020943: Experimental Crystal Structure Determination

description: Related Article: Arnab Mandal, Abani Sarkar, Amit Adhikary, Debabrata Samanta, Debasis Das|2020|Dalton Trans.|49|15461|doi:10.1039/D0DT02784G
DOI: 10.5517/ccdc.csd.cc25tyrq
title: CCDC 2020944: Experimental Crystal Structure Determination

description: Related Article: Arnab Mandal, Abani Sarkar, Amit Adhikary, Debabrata Samanta, Debasis Das|2020|Dalton Trans.|49|15461|doi:10.1039/D0DT02784G
DOI: 10.5517/ccdc.csd.cc25tyts
title: CCDC 2020946: Experimental Crystal Structure Determination

description: Related Article: Arnab Mandal, Abani Sarkar, Amit Adhikary, Debabrata Samanta, Debasis Das|2020|Dalton Trans.|49|15461|doi:10.1039/D0DT02784G
DOI: 10.5517/ccdc.csd.cc22zrjc
title: CCDC 1936183: Experimental Crystal Structure Determination

description: Related Article: Xiaokang Wang, Yutong Wang, Xia Wang, Kebin Lu, Weifeng Jiang, Pei-Pei Cui, Hongguo Hao, Fangna Dai|2020|Dalton Trans.|49|15473|doi:10.1039/D0DT03264F
DOI: 10.5281/zenodo.4286160
title: local constraints - v1

description: Data & codes supporting the local constraints study Includes: - matlab codes used for the study: + main + functions - basic data and elaborated data supporting the study Does not include: - other functions (SMEV, GEV, etc) can be found at https://doi.org/10.5281/zenodo.3971558 - original rain gauge data: original data cannot be shared by the authors and can be retrieved from the Israeli Meteorological Service (https://ims.gov.il/) and from the Ministry of Water and Irrigation of Jordan, Technical Affairs, Studies Directorate, Hydrological and Meteorological Information Systems (rainfall stations archives files). Codes were run under Matlab R2016a
DOI: 10.5281/zenodo.4286159
title: local constraints - v1

description: Data & codes supporting the local constraints study Includes: - matlab codes used for the study: + main + functions - basic data and elaborated data supporting the study Does not include: - other functions (SMEV, GEV, etc) can be found at https://doi.org/10.5281/zenodo.3971558 - original rain gauge data: original data cannot be shared by the authors and can be retrieved from the Israeli Meteorological Service (https://ims.gov.il/) and from the Ministry of Water and Irrigation of Jordan, Technical Affairs, Studies Directorate, Hydrological and Meteorological Information Systems (rainfall stations archives files). Codes were run under Matlab R2016a
DOI: 10.5281/zenodo.4286079
title: EoRNA, a barley gene and transcript abundance database

description: A high-quality, barley gene reference transcript dataset (BaRTv1.0, Rapazote-Flores et al. 2019), was used to quantify gene and transcript abundances from 22 RNA-seq experiments, covering 843 separate samples. Using the abundance data we developed a Barley Expression Database (EoRNA* – Expression of RNA) to underpin a visualisation tool that displays comparative gene and transcript abundance data on demand as transcripts per million (TPM) across all samples and all the genes. EoRNA provides gene and transcript models for all of the transcripts contained in BaRTV1.0, and these can be conveniently identified through either BaRT or HORVU gene names, or by direct BLAST of query sequences. Browsing the quantification data reveals cultivar, tissue and condition specific gene expression and shows changes in the proportions of individual transcripts that have arisen via alternative splicing. TPM values can be easily extracted to allow users to determine the statistical significance of observed transcript abundance variation among samples or perform meta analyses on multiple RNA-seq experiments. * Eòrna is the Scottish Gaelic word for Barley
description: This research was supported and developed by Scottish Government Rural and Environment Science and Analytical Services division (RESAS) and funding from the Biotechnology and Biological Sciences Research Council (BBSRC) (BB/I00663X/1: A draft sequence of the barley genome) and ERC project 669182 'SHUFFLE' to RW.
DOI: 10.5281/zenodo.4286078
title: EoRNA, a barley gene and transcript abundance database

description: A high-quality, barley gene reference transcript dataset (BaRTv1.0, Rapazote-Flores et al. 2019), was used to quantify gene and transcript abundances from 22 RNA-seq experiments, covering 843 separate samples. Using the abundance data we developed a Barley Expression Database (EoRNA* – Expression of RNA) to underpin a visualisation tool that displays comparative gene and transcript abundance data on demand as transcripts per million (TPM) across all samples and all the genes. EoRNA provides gene and transcript models for all of the transcripts contained in BaRTV1.0, and these can be conveniently identified through either BaRT or HORVU gene names, or by direct BLAST of query sequences. Browsing the quantification data reveals cultivar, tissue and condition specific gene expression and shows changes in the proportions of individual transcripts that have arisen via alternative splicing. TPM values can be easily extracted to allow users to determine the statistical significance of observed transcript abundance variation among samples or perform meta analyses on multiple RNA-seq experiments. * Eòrna is the Scottish Gaelic word for Barley
description: This research was supported and developed by Scottish Government Rural and Environment Science and Analytical Services division (RESAS) and funding from the Biotechnology and Biological Sciences Research Council (BBSRC) (BB/I00663X/1: A draft sequence of the barley genome) and ERC project 669182 'SHUFFLE' to RW.
DOI: 10.25403/upresearchdata.13266734
title: Consumption Risk Sharing

description: Data and do file to replicate Tables 1-4 in "International Consumption Risk Sharing, Trade Costs and Capital Market Imperfections".
DOI: 10.25403/upresearchdata.13266734.v1
title: Consumption Risk Sharing

description: Data and do file to replicate Tables 1-4 in "International Consumption Risk Sharing, Trade Costs and Capital Market Imperfections".
DOI: 10.25646/7671
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5285/92e92c14-0ff2-4ce2-8305-83d5b3a4071d
title: Population numbers and breeding success of Gentoo penguins (Pygoscelis papua) at Port Lockroy, Goudier Island, 1996 - 2020

description: The colony size and breeding success of Gentoo penguins (Pygoscelis papua) on Goudier Island, monitored annually 1996 - 2020. The data presented here includes the number of breeding pairs, the number of chicks that hatched from their eggs (approximately the mid-point in the annual breeding season) and the number of chicks present in crèches at defined sub-colonies prior to fledging.
description: Counts of the number of breeding pairs, chicks and chicks in crèche are undertaken following the CEMP Standard Methods for monitoring of predator species (CCAMLR 2014). Breeding chronology (Method A9) is established for the whole island using the 'Mast' sub-colony. Sub-colony counts are carried out daily during the arrival period and the date of the first egg laid is recorded. Following this 100 marked nests are closely monitored and from this dates for island-wide counts are established. The breeding population count (method A3A) takes place one week after 95% of nests contained eggs. Counts of chicks are made twice: the number of chicks per breeding pair are recorded after hatching ends, and later the number of chicks forming crèches are counted prior to fledging (Method A6C). Further details of the survey methods can be found here: CEMP Standard Methods, https://www.ccamlr.org/en/document/science/cemp-standard-methods, CCAMLR, Hobart Australia. The sub-colonies have been categorised into those that are in areas visited by tourists (six colonies are 'visited areas') and those which are not (four colonies are 'control areas'). Locations of the colonies surveyed on Goudier Island can be seen in the map file.
description: All raw data appear as collected and have not been cleaned via post-processing analyses.
DOI: 10.6084/m9.figshare.13273262
title: VCF LIPGEN SNPs All

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population
DOI: 10.6084/m9.figshare.13273262.v1
title: VCF LIPGEN SNPs All

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population
DOI: 10.6084/m9.figshare.13273280
title: VCF LIPGEN INDELs All

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population
DOI: 10.6084/m9.figshare.13273280.v2
title: VCF LIPGEN INDELs All

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population