cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4294847
title: Immunization coverage survey data, Enugu State Nigeria 20200728

description: This is a dataset from a community-based cross-section survey of mothers of children aged 12-23 months in urban and rural districts in Enugu State conducted in July 2020.
DOI: 10.5281/zenodo.4294846
title: Immunization coverage survey data, Enugu State Nigeria 20200728

description: This is a dataset from a community-based cross-section survey of mothers of children aged 12-23 months in urban and rural districts in Enugu State conducted in July 2020.
DOI: 10.34740/kaggle/dsv/1693623
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.9974540.v1
title: Determinants of Late Sero-conversion time among HIV exposed infants aged 6weeks-24 months in Homabay County, Kenya: a 7-year retrospective analysis.

description: Institution based retrospective follow up data collected at nine health facilities in Homabay County after ethical approval of research. The maternal child health registers and electronic database (Open Medical Record System and Electronic Medical Records) were used to identify mother baby pair for data abstraction. Data abstraction was done using a tool developed by adopting the Kenya Ministry of Health national HIV exposed infant follow-up card. this data set have maternal and infant medical characteristics, analysed as determinants of seroconversion time, obtained from secondary sources( ANC, PMTCT and comprehnsive care clinics
DOI: 10.6084/m9.figshare.13298258
title: SI_27_10_2020.docx

description: The present study investigated the distribution, sources, bioavailable fractions, and ecological risks of nine metals (Al, Cd, Co, Cr, Cu, Fe, Mn, Pb, and Zn) in water, sediment, and vegetation samples collected from a shallow lake within the industrial town of Ranipet, India.
DOI: 10.6084/m9.figshare.13298258.v1
title: SI_27_10_2020.docx

description: The present study investigated the distribution, sources, bioavailable fractions, and ecological risks of nine metals (Al, Cd, Co, Cr, Cu, Fe, Mn, Pb, and Zn) in water, sediment, and vegetation samples collected from a shallow lake within the industrial town of Ranipet, India.
DOI: 10.5281/zenodo.4292337
title: chr10 of TgN(38-40) mutant genome used in Willemin et al. 2021.

description: chr10 of TgN(38-40) mutant genome used in Willemin et al. 2021. Built from chr10 of mm10 (UCSC) and modified with information from TLA and MinION sequencing.
description: {"references": ["WILLEMIN, Andr\u00e9a. Study of the HoxD locus topological boundaries inside and outside from their genomic context. Universit\u00e9 de Gen\u00e8ve. Master, 2020. https://archive-ouverte.unige.ch/unige:140175"]}
DOI: 10.5281/zenodo.4292336
title: chr10 of TgN(38-40) mutant genome used in Willemin et al. 2021.

description: chr10 of TgN(38-40) mutant genome used in Willemin et al. 2021. Built from chr10 of mm10 (UCSC) and modified with information from TLA and MinION sequencing.
description: {"references": ["WILLEMIN, Andr\u00e9a. Study of the HoxD locus topological boundaries inside and outside from their genomic context. Universit\u00e9 de Gen\u00e8ve. Master, 2020. https://archive-ouverte.unige.ch/unige:140175"]}
DOI: 10.5517/ccdc.csd.cc23t234
title: CCDC 1960505: Experimental Crystal Structure Determination

description: Related Article: Bogdan Karlinskii, Alexander Kostyukovich, Fedor Kucherov, Konstantin Galkin, Kirill Kozlov, Valentine Ananikov|2020|ACS Catalysis|10|11466|doi:10.1021/acscatal.0c02143
DOI: 10.5517/ccdc.csd.cc23t245
title: CCDC 1960506: Experimental Crystal Structure Determination

description: Related Article: Bogdan Karlinskii, Alexander Kostyukovich, Fedor Kucherov, Konstantin Galkin, Kirill Kozlov, Valentine Ananikov|2020|ACS Catalysis|10|11466|doi:10.1021/acscatal.0c02143
DOI: 10.5517/ccdc.csd.cc23t256
title: CCDC 1960507: Experimental Crystal Structure Determination

description: Related Article: Bogdan Karlinskii, Alexander Kostyukovich, Fedor Kucherov, Konstantin Galkin, Kirill Kozlov, Valentine Ananikov|2020|ACS Catalysis|10|11466|doi:10.1021/acscatal.0c02143
DOI: 10.5517/ccdc.csd.cc2542hx
title: CCDC 1999918: Experimental Crystal Structure Determination

description: Related Article: Li Zhu, Bing Yin, Pengtao Ma, Dongfeng Li|2020|Inorg.Chem.|59|16117|doi:10.1021/acs.inorgchem.0c01716
DOI: 10.5517/ccdc.csd.cc2542jy
title: CCDC 1999919: Experimental Crystal Structure Determination

description: Related Article: Li Zhu, Bing Yin, Pengtao Ma, Dongfeng Li|2020|Inorg.Chem.|59|16117|doi:10.1021/acs.inorgchem.0c01716
DOI: 10.5517/ccdc.csd.cc25xt0y
title: CCDC 2023680: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc25xt1z
title: CCDC 2023681: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc25xt20
title: CCDC 2023682: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc25xt31
title: CCDC 2023683: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc25xt42
title: CCDC 2023684: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc25xt53
title: CCDC 2023685: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc25zpmh
title: CCDC 2025497: Experimental Crystal Structure Determination

description: Related Article: Chiara Capacci, Cristiana Cesari, Cristina Femoni, Maria Carmela Iapalucci, Federica Mancini, Silvia Ruggieri, Stefano Zacchini|2020|Inorg.Chem.|59|16016|doi:10.1021/acs.inorgchem.0c02572
DOI: 10.5517/ccdc.csd.cc25zpnj
title: CCDC 2025498: Experimental Crystal Structure Determination

description: Related Article: Chiara Capacci, Cristiana Cesari, Cristina Femoni, Maria Carmela Iapalucci, Federica Mancini, Silvia Ruggieri, Stefano Zacchini|2020|Inorg.Chem.|59|16016|doi:10.1021/acs.inorgchem.0c02572
DOI: 10.5517/ccdc.csd.cc25zppk
title: CCDC 2025499: Experimental Crystal Structure Determination

description: Related Article: Chiara Capacci, Cristiana Cesari, Cristina Femoni, Maria Carmela Iapalucci, Federica Mancini, Silvia Ruggieri, Stefano Zacchini|2020|Inorg.Chem.|59|16016|doi:10.1021/acs.inorgchem.0c02572
DOI: 10.5517/ccdc.csd.cc25zpql
title: CCDC 2025500: Experimental Crystal Structure Determination

description: Related Article: Chiara Capacci, Cristiana Cesari, Cristina Femoni, Maria Carmela Iapalucci, Federica Mancini, Silvia Ruggieri, Stefano Zacchini|2020|Inorg.Chem.|59|16016|doi:10.1021/acs.inorgchem.0c02572
DOI: 10.5517/ccdc.csd.cc25zprm
title: CCDC 2025501: Experimental Crystal Structure Determination

description: Related Article: Chiara Capacci, Cristiana Cesari, Cristina Femoni, Maria Carmela Iapalucci, Federica Mancini, Silvia Ruggieri, Stefano Zacchini|2020|Inorg.Chem.|59|16016|doi:10.1021/acs.inorgchem.0c02572
DOI: 10.5517/ccdc.csd.cc25zpsn
title: CCDC 2025502: Experimental Crystal Structure Determination

description: Related Article: Chiara Capacci, Cristiana Cesari, Cristina Femoni, Maria Carmela Iapalucci, Federica Mancini, Silvia Ruggieri, Stefano Zacchini|2020|Inorg.Chem.|59|16016|doi:10.1021/acs.inorgchem.0c02572
DOI: 10.5517/ccdc.csd.cc24w3y3
title: CCDC 1992275: Experimental Crystal Structure Determination

description: Related Article: Richa, Naveen Kumar, Jayant Sindhu, Yogesh Patil, Suresh Kumar Sharma, Balaram Pani, Surinder K. Mehta, Ramesh Kataria|2020|Inorg.Chem.Commun.|122|108280|doi:10.1016/j.inoche.2020.108280
DOI: 10.5517/ccdc.csd.cc260ccz
title: CCDC 2026140: Experimental Crystal Structure Determination

description: Related Article: San-Tai Wang, Wei-Hui Fang, Shu-Hua Zhang|2021|J.Solid State Chem.|293|121804|doi:10.1016/j.jssc.2020.121804
DOI: 10.5517/ccdc.csd.cc260cd0
title: CCDC 2026141: Experimental Crystal Structure Determination

description: Related Article: San-Tai Wang, Wei-Hui Fang, Shu-Hua Zhang|2021|J.Solid State Chem.|293|121804|doi:10.1016/j.jssc.2020.121804
DOI: 10.5517/ccdc.csd.cc267z8q
title: CCDC 2033453: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc267z9r
title: CCDC 2033454: Experimental Crystal Structure Determination

description: Related Article: Lulu Liu, Jun Jiang, Xiaoyi Liu, Guoping Liu, Dan Wang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.Front.|7|4640|doi:10.1039/D0QI01031F
DOI: 10.5517/ccdc.csd.cc26cg8b
title: CCDC 2036801: Experimental Crystal Structure Determination

description: Related Article: Qijian Ni, Xiaoxiao Song, Chin Wen Png, Yongliang Zhang, Yu Zhao|2020|Chemical Science|11|12329|doi:10.1039/D0SC02972F
DOI: 10.5281/zenodo.4293683
title: Additional simulation and cross-linking data of α-synuclein monomer

description: This dataset includes data for the article entitled "The structural heterogeneity of α-synuclein is governed by several distinct subpopulations with interconversion times slower than milliseconds".
DOI: 10.5281/zenodo.4294912
title: Vanilla Ice, Queen, David Bowie Data

description: Dataset taken from https://sites.google.com/site/icdmstamp Stored on Zenodo as backup for Stumpy AB-Joins
DOI: 10.5281/zenodo.4294911
title: Vanilla Ice, Queen, David Bowie Data

description: Dataset taken from https://sites.google.com/site/icdmstamp Stored on Zenodo as backup for Stumpy AB-Joins
DOI: 10.6084/m9.figshare.13298387
title: Quasilinear diffusion simulation dataMulti-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation

description: This is the dataset created for the JGR paper "Multi-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation"
DOI: 10.6084/m9.figshare.13298387.v2
title: Quasilinear diffusion simulation dataMulti-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation

description: This is the dataset created for the JGR paper "Multi-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation"
DOI: 10.6084/m9.figshare.13298387.v1
title: Quasilinear diffusion simulation data

description: This is the dataset created for the JGR paper "Multi-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation"
DOI: 10.6084/m9.figshare.13298420.v1
title: Quasilinear diffusion simulation dataMulti-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation

description: This is the dataset created for the JGR paper "Multi-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation"
DOI: 10.6084/m9.figshare.13298420
title: Quasilinear diffusion simulation dataMulti-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation

description: This is the dataset created for the JGR paper "Multi-Point Observations of Quasiperiodic Emission Intensification and Effects on Energetic Electron Precipitation"
DOI: 10.5281/zenodo.3371163
title: BPNet manuscript data 1

description: This repository holds the trained BPNet models and all the output files produced using the models including TF-MoDISco files and motif instances. <strong>Files:</strong> <strong>output.tar.gz</strong> Full output directory containing trained BPNet models, contribution scores, TF-MoDISco results, motif instances, etc. See https://github.com/kundajelab/bpnet-manuscript for more information (archived at https://zenodo.org/record/4294814 with DOI: https://doi.org/10.5281/zenodo.4294813). <strong>bpnet.model.h5</strong> BPNet Keras model. This model can be directly used via the model repository Kipoi: http://kipoi.org/models/BPNet-OSKN . <strong>regions.bed</strong> ChIP-nexus peak regions (resized to 1 kb width) where BPNet was trained and interpreted on. Third column denotes the TF for which the peak was called. <strong>motif-instances.bed</strong> BPNet motif instances for 11 representative motifs Stored as BED file with the following columns Chromosome Start End Motif name 'match' score - similarity to the CWM computed using the continuous Jaccard distance metric between the CWM and L1 normalized contribution scores Strand 'contrib' score - computed as the L1 norm of the contribution scores at the motif instance position The log odds score with respect to the PWM derived from the PFM (i.e. classical PWM score) <strong>&lt;TF&gt;.preds.&lt;strand&gt;.bw</strong> Model predictions in `regions.bed` for a particular TF in {Oct4, Sox2, Nanog, Klf4} and strand in {pos, neg}. <strong>&lt;TF&gt;.importance.counts.bw</strong> Total count contribution scores for a particular TF <strong>&lt;TF&gt;.importance.profile.bw</strong> Profile contribution scores. These were used to run TF-MoDISco and downstream analysis. <strong>PWM,CWM,ChIP-nexus-profiles.tar.gz</strong> Directory containing PFM, CWM and aggregated ChIP-nexus footprint for 11 representative motifs. <strong>Figure-5d-periodicity.csv</strong> Raw data corresponding to Figure 5d where the 10bp periodicity of contribution scores was computed for each motif. <strong>dfabf.Oct4-Sox2-subset.parq</strong> Parquet file (read with `pd.read_parquet`) of genomics motif instance pairs and along with the BPNet-predicted interaction score. See 08-motif-interactions.genomic.ipynb for more information on how to generate plots for Figure 5 from this data.
DOI: 10.6084/m9.figshare.13298429
title: customer online reviews of upper limb rehabilitation devices.xlsx

description: This is dataset for customer online reviews of upper limb rehabilitation devices.
DOI: 10.6084/m9.figshare.13298438
title: customer online reviews of mini-fridges.xlsx

description: This is dataset for customer online reviews of mini-fridges.
DOI: 10.21227/05xk-ee20
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 1.88 kW with max rpm of 3 000 rpm .In this dataset, the same controller is used but the BLDC motor is a high speed motor with max rpm of 40 000 rpm and maximum power of 102 W.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/wpna-3939
title: Inverter Affect on FOC of -1

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/rey4-5967
title: Inverter Affect on FOC of -1

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/6c4h-xx38
title: Inverter Affect on FOC of -2

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".
DOI: 10.21227/qygj-fh33
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, 1.88 kW with max rpm of 3 000 rpm .In this dataset, the same controller is used but the BLDC motor is a high speed motor with max rpm of 14 400 rpm and maximum power of 211 W.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/earz-5355
title: Inverter Affect on FOC of -1

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/3f86-v788
title: Inverter Affect on FOC of -1

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/6ce6-9j45
title: Inverter Affect on 1.88 kW FOC of -1

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/vrr1-k011
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These BLDC motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator. There are many research papers, some papers are contradictory with one another, so this study comes in handy to decide.The author has also 1 different complex model, built by him(but has some errors,workingon it also) and that will be uploaded later.
DOI: 10.21227/8e6f-gb02
title: kW DC Solar with BMS

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this paper and dataset, Dc power system
DOI: 10.5281/zenodo.4295546
title: Language Creativity paper

description: The dataset generated and analysed during the study of collective language creativity.
DOI: 10.5281/zenodo.4295545
title: Language Creativity paper

description: The dataset generated and analysed during the study of collective language creativity.
DOI: 10.6084/m9.figshare.3761562.v1693
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.4286019
title: Complementary material of the WorkStream 1 of project 4SECURail

description: Deliverables, models, artifacts developed within WP2 of the Shift2Rail project 4SECURAil.
DOI: 10.6084/m9.figshare.13298513.v1
title: DnaE2 phylogeny

description: Reconstructed phylogeny of the C-family polymerases of the FSGD MAGs/SAGs plus reference sequences.
DOI: 10.6084/m9.figshare.13298513
title: DnaE2 phylogeny

description: Reconstructed phylogeny of the C-family polymerases of the FSGD MAGs/SAGs plus reference sequences.
DOI: 10.6084/m9.figshare.13298519.v1
title: Millet pathogen host range matrix.xlsx

description: A database of the recorded diseases for millet species, and a list of non-millet domesticated host species susceptible to the same suite of pathogens.
DOI: 10.6084/m9.figshare.13298519
title: Millet pathogen host range matrix.xlsx

description: A database of the recorded diseases for millet species, and a list of non-millet domesticated host species susceptible to the same suite of pathogens.
DOI: 10.6084/m9.figshare.13270391
title: Actual evapotranspiration at Peru scale (2003-2013)

description: Gridded annual actual evapotranspiration at Peru scale (0.01°) from 2003-2013. This dataset has been produced through a linear averaging of remotely sensed products (GLEAM, MODIS16, SSEBop, TerraClimate, and P-LSH).