cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17909/90na-ch15
title: C IV imaging and spectroscopy of Mrk 71

description: ACS/SBC F150LP and F165LP imaging of Mrk 71 observed in LODARK aperture.  
STIS G140L spectra of Knots A and B with 0.2" slit.
DOI: 10.5281/zenodo.8310172
title: Data and code for: Excitation creates a distributed pattern of cortical suppression due to varied recurrent input

description: Data and code for research article:<br> "Excitation creates a distributed pattern of cortical suppression due to varied recurrent input"<br> <br> Unzipped archive should have the following structure: <pre><code>── corticalSuppressionRepo ├── data │ ├── 2p_longStim_data.npz │ ├── 2p_shortStim_data.npz │ ├── ephys_dynamics_data.npz │ ├── ephys_spatialDistribuition_data.npz │ ├── ephys_timeseries_data.npz │ └── widefield_stim_data.npz ├── notebooks │ ├── 2p_longStim.ipynb │ ├── 2p_shortStim.ipynb │ ├── balancedStateModel_sim.ipynb │ ├── ephys_dynamics.ipynb │ ├── ephys_spatialDistribution.ipynb │ ├── ephys_timeseries.ipynb │ └── widefield_stim.ipynb ├── src │ ├── analysisFunctions.py │ └── randNetSimulation.py └── environment.yml </code></pre> Build and activate environment from environment.yml: <pre><code>conda env create -f environment.yml conda activate minenv</code></pre> Each notebook should run using relative path locations, pulling data from the data directory and sometimes importing code from the src directory.
DOI: 10.5281/zenodo.8310173
title: Data and code for: Excitation creates a distributed pattern of cortical suppression due to varied recurrent input

description: Data and code for research article:<br> "Excitation creates a distributed pattern of cortical suppression due to varied recurrent input"<br> <br> Unzipped archive should have the following structure: <pre><code>── corticalSuppressionRepo ├── data │ ├── 2p_longStim_data.npz │ ├── 2p_shortStim_data.npz │ ├── ephys_dynamics_data.npz │ ├── ephys_spatialDistribuition_data.npz │ ├── ephys_timeseries_data.npz │ └── widefield_stim_data.npz ├── notebooks │ ├── 2p_longStim.ipynb │ ├── 2p_shortStim.ipynb │ ├── balancedStateModel_sim.ipynb │ ├── ephys_dynamics.ipynb │ ├── ephys_spatialDistribution.ipynb │ ├── ephys_timeseries.ipynb │ └── widefield_stim.ipynb ├── src │ ├── analysisFunctions.py │ └── randNetSimulation.py └── environment.yml </code></pre> Build and activate environment from environment.yml: <pre><code>conda env create -f environment.yml conda activate minenv</code></pre> Each notebook should run using relative path locations, pulling data from the data directory and sometimes importing code from the src directory.
DOI: 10.5281/zenodo.8310224
title: Data and code for: Excitation creates a distributed pattern of cortical suppression due to varied recurrent input

description: Data and code for research article:<br> "Excitation creates a distributed pattern of cortical suppression due to varied recurrent input"<br> <br> Unzipped archive should have the following structure: <pre><code>── corticalSuppressionRepo ├── data │ ├── 2p_longStim_data.npz │ ├── 2p_shortStim_data.npz │ ├── ephys_dynamics_data.npz │ ├── ephys_spatialDistribuition_data.npz │ ├── ephys_timeseries_data.npz │ └── widefield_stim_data.npz ├── notebooks │ ├── 2p_longStim.ipynb │ ├── 2p_shortStim.ipynb │ ├── balancedStateModel_sim.ipynb │ ├── ephys_dynamics.ipynb │ ├── ephys_spatialDistribution.ipynb │ ├── ephys_timeseries.ipynb │ └── widefield_stim.ipynb ├── src │ ├── analysisFunctions.py │ └── randNetSimulation.py └── environment.yml </code></pre> Build and activate environment from environment.yml: <pre><code>conda env create -f environment.yml conda activate minenv</code></pre> Each notebook should run using relative path locations, pulling data from the data directory and sometimes importing code from the src directory.
DOI: 10.6069/qjsd-js69
title: Assessing Per- and Polyfluoroalkyl Substances (PFAS) in Fish Fillet Using Non-Targeted Analyses

description: Per- and polyfluoroalkyl substances (PFAS) are a class of thousands of man-made chemicals that are persistent and highly stable in the environment. The diverse structures of PFAS give them different chemical properties that influence their solubility in different environmental matrices and biological tissues. PFAS in drinking water have been extensively studied, but information on their presence in fish and other exposure routes is limited. To address this, a non-targeted analysis using liquid chromatography, ion mobility spectrometry, and mass spectrometry (LC-IMS-MS) was performed to evaluate PFAS in fish fillets from in central North Carolina and compare with PFAS data from previously published water. A total of 22 different PFAS were detected in the fillets, including only 4 of the PFAS reported in water. Both more PFAS types and higher concentrations were observed in fish caught near a known PFAS point-source compared to those from a reservoir used for drinking water and recreation. Median fillet PFOS levels were 54 ppb in fish closest to the point source and 14-20 ppb in fish from the reservoir. Thus, future PFAS monitoring should include both targeted and non-targeted analyses of both water and fish to increase understanding of human exposure risks and ecosystem impacts.
DOI: 10.5281/zenodo.8310240
title: MCScanX inputs, outputs, and relevant scripts for analysis

description: MCScanX inputs, outputs, and relevant scripts for analysis
DOI: 10.5281/zenodo.8310239
title: MCScanX inputs, outputs, and relevant scripts for analysis

description: MCScanX inputs, outputs, and relevant scripts for analysis
DOI: 10.5281/zenodo.4000388
title: A ground-truth dataset to identify bots in GitHub

description: This dataset is a ground truth dataset we used to identify bots. Each account in this dataset is rated by at least 3 raters with high interrater agreement. === This dataset is outdated (it was created in 2020) and therefore no longer recommended for use. Many of the classified GitHub bot accounts are no longer active or even available today, and some may even have changed their status from bot to human (or conversely) since. If you want to use a ground-truth dataset of bot accounts for academic (or other) purposes, we therefore recommend to use a more recent and more complete dataset of GitHub bot accounts. Such a dataset can be found here: https://doi.org/10.5281/zenodo.7740520 ===
DOI: 10.5281/zenodo.4000387
title: A ground-truth dataset to identify bots in GitHub

description: This dataset is a ground truth dataset we used to identify bots. Each account in this dataset is rated by at least 3 raters with high interrater agreement. === This dataset is outdated (it was created in 2020) and therefore no longer recommended for use. Many of the classified GitHub bot accounts are no longer active or even available today, and some may even have changed their status from bot to human (or conversely) since. If you want to use a ground-truth dataset of bot accounts for academic (or other) purposes, we therefore recommend to use a more recent and more complete dataset of GitHub bot accounts. Such a dataset can be found here: https://doi.org/10.5281/zenodo.7740520 ===
DOI: 10.34740/kaggle/dsv/6401543
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.8310253
title: Inputs sufficient to recapitulate WGD results in both species

description: Inputs sufficient to recapitulate WGD results in both species
DOI: 10.5281/zenodo.8310252
title: Inputs sufficient to recapitulate WGD results in both species

description: Inputs sufficient to recapitulate WGD results in both species
DOI: 10.5281/zenodo.3384055
title: Surface models of the pelvis created from CT datasets of the open source VSDFullBody database

description: Was used in: Fischer, M. C. M. <em>et al.</em> A robust method for automatic identification of landmarks on surface models of the pelvis. <em>Scientific Reports</em> <strong>9</strong>, 13322; 10.1038/s41598-019-49573-4 (2019).
description: {"references": ["Fischer, M. C. M., Kroo\u00df, F., Habor, J. & Radermacher, K. - A robust method for automatic identification of landmarks on surface models of the pelvis. Scientific Reports, DOI: 10.1038/s41598-019-49573-4 (2019)"]}
DOI: 10.5281/zenodo.3384054
title: RWTHmediTEC/VSDFullBodyBoneModels: 3D surface models of the pelvis and femur created from CT datasets of the open source VSDFullBody database

description: Was used in: Fischer <em>et al.</em> A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models. <em>Scientific Reports</em> <strong>10</strong>, 20859; 10.1038/s41598-020-77479-z (2020).
DOI: 10.5281/zenodo.4280899
title: RWTHmediTEC/VSDFullBodyBoneModels: 3D surface models of the pelvis and femur created from CT datasets of the open source VSDFullBody database

description: Was used in: Fischer <em>et al.</em> A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models. <em>Scientific Reports</em> <strong>10</strong>, 20859; 10.1038/s41598-020-77479-z (2020).
DOI: 10.5517/ccdc.csd.cc2g6sdw
title: CCDC 2270638: Experimental Crystal Structure Determination

description: Related Article: Rajata Kumar Sahoo, Sagrika Rajput, Sneha Dutta, Kasturi Sahu, Sharanappa Nembenna|2023|Organometallics|42|2293|doi:10.1021/acs.organomet.3c00281
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.cc2gjcm0
title: CCDC 2279852: Experimental Crystal Structure Determination

description: Related Article: N. Achyuta, S. Kanagasabai, P. Vinayagam, A.K. Mohanakrishnan, N. Gautham, K. Gunasekaran|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|813|doi:10.1107/S2056989023007120
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.cc2c3h22
title: CCDC 2178093: Experimental Crystal Structure Determination

description: Related Article: Kun Huang, Qi Li, Xiang-Yu Zhang, Da-Bin Qin, Bin Zhao|2022|Cryst.Growth Des.|22|6531|doi:10.1021/acs.cgd.2c00733
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.cc2c86gb
title: CCDC 2182631: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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: 10.5281/zenodo.8310314
title: nQuire files

description: nQuire files
DOI: 10.5281/zenodo.8310313
title: nQuire files

description: nQuire files
DOI: 10.5281/zenodo.8310328
title: Genome assembly, with and without masking

description: Genome assembly, with and without masking
DOI: 10.5281/zenodo.8310327
title: Genome assembly, with and without masking

description: Genome assembly, with and without masking
DOI: 10.5281/zenodo.8310340
title: SG - August 2023

description: Measurements of SG (Global) in August 2023 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310339
title: SG - August 2023

description: Measurements of SG (Global) in August 2023 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310342
title: LPL1 - August 2023

description: Measurements of LPL1 (Teide NP) in August 2023 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310341
title: LPL1 - August 2023

description: Measurements of LPL1 (Teide NP) in August 2023 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310348
title: LPL2 - August 2023

description: Measurements of LPL2 (Caldera de Taburiente NP) in August 2023 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310347
title: LPL2 - August 2023

description: Measurements of LPL2 (Caldera de Taburiente NP) in August 2023 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310354
title: LPL3 - August 2023

description: Measurements of LPL3 (Madeira East Coast) in August 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310353
title: LPL3 - August 2023

description: Measurements of LPL3 (Madeira East Coast) in August 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310356
title: LPL4 - August 2023

description: Measurements of LPL4 (Ilha do Corvo) in August 2023 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310355
title: LPL4 - August 2023

description: Measurements of LPL4 (Ilha do Corvo) in August 2023 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310358
title: LPL5 - August 2023

description: Measurements of LPL5 (Tejeda) in August 2023 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310357
title: LPL5 - August 2023

description: Measurements of LPL5 (Tejeda) in August 2023 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310361
title: LPL7 - August 2023

description: Measurements of LPL7 (Archipielago Chinijo) in August 2023 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310360
title: LPL7 - August 2023

description: Measurements of LPL7 (Archipielago Chinijo) in August 2023 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310367
title: LPL8 - August 2023

description: Measurements of LPL8 (Timanfaya NP) in August 2023 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310366
title: LPL8 - August 2023

description: Measurements of LPL8 (Timanfaya NP) in August 2023 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310369
title: LPL11 - August 2023

description: Measurements of LPL11 (Frontera Rural Park) in August 2023 El Hierro Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310368
title: LPL11 - August 2023

description: Measurements of LPL11 (Frontera Rural Park) in August 2023 El Hierro Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310371
title: LPL12 - August 2023

description: Measurements of LPL12 (Ilhas Desertas) in August 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310370
title: LPL12 - August 2023

description: Measurements of LPL12 (Ilhas Desertas) in August 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310373
title: LPL14 - August 2023

description: Measurements of LPL14 (Ilha das Flores) in August 2023 Flores Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310372
title: LPL14 - August 2023

description: Measurements of LPL14 (Ilha das Flores) in August 2023 Flores Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8310021
title: Crop of Romney seismic-reflection data volume, offshore the North Island of New Zealand

description: Crop of Romney seismic-reflection data volume, offshore the North Island of New Zealand (Exploration Database, 2023). SEG-Y header locations<br> Inline 4-byte – loc: 181<br> Xline 4-byte – Loc 185<br> X 4-byte – Loc 73<br> Y 4-byte – Loc 77 CRS<br> New Zealand Map Grid<br> Datum: NZ Geodetic Datum 1949<br> Spheroid: Int 1924<br> PM: Greenwich<br> Meters<br> False Northing 6023150m<br> False Easting 2510000m<br> Long of Natural origin 173 dega<br> Lat of Natural origin -41 dega Exploration Database (2023). New Zealand Petroleum and Minerals. www.nzpam.govt.nz/maps-geoscience/exploration-database/, February 21, 2023.
DOI: 10.5281/zenodo.8310020
title: Crop of Romney seismic-reflection data volume, offshore the North Island of New Zealand

description: Crop of Romney seismic-reflection data volume, offshore the North Island of New Zealand (Exploration Database, 2023). SEG-Y header locations<br> Inline 4-byte – loc: 181<br> Xline 4-byte – Loc 185<br> X 4-byte – Loc 73<br> Y 4-byte – Loc 77 CRS<br> New Zealand Map Grid<br> Datum: NZ Geodetic Datum 1949<br> Spheroid: Int 1924<br> PM: Greenwich<br> Meters<br> False Northing 6023150m<br> False Easting 2510000m<br> Long of Natural origin 173 dega<br> Lat of Natural origin -41 dega Exploration Database (2023). New Zealand Petroleum and Minerals. www.nzpam.govt.nz/maps-geoscience/exploration-database/, February 21, 2023.
DOI: 10.5281/zenodo.229904
title: English Wikipedia

description: This text corpus is composed of texts of English Wikipedia extracted from the Wikipedia dump of 26th September 2015 using the WikiExtractor tool (https://github.com/attardi/wikiextractor).
DOI: 10.5281/zenodo.6640905
title: Data files for 'Tan et al., (2023). Tomographic evidences for hydraulic fracturing induced seismicity in the Changning shale gas field, southern Sichuan Basin, China'

description: station.dat : the station coordinates of the local seismic network (including the station ID, longitude, latitude, elevation(negative)/depth(positive), X, Y) catalog.dat : the seismic phase catalog used in double-difference (DD) seismic tomography relocation.dat : the earthquake relocations obtained by DD tomography 1-D Vp&Vs.xlsx : the 1-D Vp and Vs models of the shale gas field 3-D Vp.dat: the 3-D Vp model obtained by DD tomography 3-D Vs.dat: the 3-D Vs model obtained by DD tomography 3-D VpVs.dat: the 3-D Vp/Vs model obtained by DD tomography FMS&pore pressure.xlsx: the focal mechanism solutions and excessive fluid pressures of the selected earthquakes waveforms.rar: the waveforms of the earthquakes recorded by our local sparse array
DOI: 10.5281/zenodo.4032307
title: Oracles data-set

description: This repository collects fthe ollwoing data-sets: blocks data-set, transactions data-set, Oracles' predictions data-set, User-centered predictions data-set
DOI: 10.5281/zenodo.4445367
title: Peri Lake Experimental Catchment Data Set

description: This is the Peri Lake Experimental Catchment data set (PLEC) developed by the Hydrology Laboratory - LabHidro group at the Federal University of Santa Catarina, Florianópolis - Brazil.<br> PLEC data set provides:<br> (i) meteorological data for the Peri Lake catchment (solar radiation, relative humidity, air temperature, wind velocity and wind direction data);<br> (ii) rainfall data (rain gauges located at the Peri Lake park headquarters (HQ) and Retiro meteorological station);<br> (iii) experimental interception data (23 and 24 throughfall gauges and 18 and 20 stemflow gauges in the HQ and Retiro plots, respectively);<br> (iv) overland flow data measured in Retiro headwater catchment (23 Overland Flow Detectors (OFD));<br> (v) streamflow and flow velocity data measured in 31 cross sections of the Peri Lake watershed;<br> (vi) groundwater levels mesured in 10 wells installed close to the flow lines in Retiro headwater catchment;<br> (vii) soil characteristics estimated in the Retiro headwater catchment (hydraulic conductivity and infiltration rate);<br> (viii) geographic information system (GIS) data for the Peri lakecatchment (digital elevation model (DEM) of Peri Lake Watershed, delimitation of the Peri Lake watershed, delimitation of Peri Lake, stream network of Peri Lake Watershed, information of streamflow and flow velocity, land cover of Peri Lake Watershed, location of Water Level Gauge of Ribeirao Grande Watershed, delimitation of the Ribeirao Grande watershed, location of Interception gauge, delimitation of the Retiro Headwater, drainage network lines, intermittent flow lines, location of Hydraulic Conductivity test of soil, locations of the overland flow detectors, locations of the wells to monitor the groudwater level).<br> More details on each data can be found in the readme.txt files available within each subdirectory of this data set. For more information on the available data and collaborations, please communicate with the lead author pedro.chaffe@ufsc.br (www.labhidro.ufsc.br).
DOI: 10.5281/zenodo.4541581
title: Code used to produced figures for 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen et al.

description: Code used to produced figures for 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen, Ed Blockley, David A. Bailey, Jens Boldingh Debernard, Mitchell Bushuk, Steve Delhaye, David Docquier, Daniel Feltham, François Massonnet, Siobhan O’Farrell, Leandro Ponsoni, José M. Rodriguez, David Schroeder, Neil Swart, Takahiro Toyoda, Hiroyuki Tsujino, Martin Vancoppenolle, and Klaus Wyser, to be published in The Cryosphere, 2021.
DOI: 10.5281/zenodo.4556134
title: Recommendation System Dataset

description: A movie dataset used for a Netflix recommendation system engine
DOI: 10.5281/zenodo.6342596
title: Qinghai-Tibet Plateau Forest Cover Map 2021

description: The name of the dataset is composed by "QTP_2021_XX_XX", when "XX" represents the range of longitude and latitude. The value "0" means non-forest pixel, "1" and "2" means forest pixel.
DOI: 10.5281/zenodo.1004867
title: Da2100 Ser-7(Tm1325)X | 2009-12-15T12:02:10+00:00

description: This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org



<b>preview link</b> : https://www.youtube.com/watch?v=Wuv5SxpTRgo
<b>strain</b> : DA2100
<b>timestamp</b> : 2009-12-15T12:02:10+00:00
<b>gene</b> : ser-7
<b>chromosome</b> : X
<b>allele</b> : tm1325
<b>strain_description</b> : ser-7(tm1325)X
<b>sex</b> : hermaphrodite
<b>stage</b> : adult
<b>ventral_side</b> : clockwise
<b>media</b> : NGM agar low peptone
<b>arena</b> :   
  <b>style</b> : petri
  <b>size</b> : 35
  <b>orientation</b> : away
  

<b>food</b> : OP50
<b>habituation</b> : 30m wait
<b>who</b> : Laura Grundy
<b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.
<b>lab</b> :   
  <b>name</b> : William R Schafer
  <b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK
  

<b>software</b> :   
  <b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)
  <b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219
  <b>featureID</b> : @OMG
  

<b>base_name</b> : ser-7 (tm1325) on food L_2009_12_15__12_02_10___6___6
<b>total time (s)</b> : 897.715
<b>frames per second</b> : 26.0417
<b>video micrometers per pixel</b> : 4.59098
<b>number of segmented skeletons</b> : 19610
DOI: 10.5281/zenodo.3787264
title: Rivers of Mesopotamia

description: The main waters in ancient Mesopotamia (shape files). Including the main rivers Euphrates and Tigris and their main tributaries, the wadis of the Khabur Valley and the main lakes in the area. The attribute table includes their english name, also the german names, their rank of importants to the main rivers and an ID number based on their alphabetical sequence.
DOI: 10.5281/zenodo.3405236
title: Dataset - A Review on Blockchain Technology and Blockchain Projects Fostering Open Science

description: Dataset for publication (A Review on Blockchain Technology and Blockchain Projects Fostering Open Science) in "Frontiers in Blockchain" Journal: https://www.frontiersin.org/articles/10.3389/fbloc.2019.00016/.