cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a20s2v
title: WHOI Ice Tethered Profiler #5
DOI: 10.18739/a21p3h
title: Ocean water property observations reported from ice-tethered profiler(ITP) #48,Transpolar Drift, 2011
DOI: 10.18739/a22k3s
title: WHOI Ice Tethered Profiler #26
DOI: 10.18739/a23g4f
title: Ocean water property observations reported from ice-tethered profiler(ITP) #33, Beaufort Sea, 2009
DOI: 10.18739/a23w1f
title: WHOI Ice Tethered Profiler #17
DOI: 10.18739/a24g4r
title: Ocean water property observations reported from ice-tethered profiler(ITP) #43,Beaufort Sea, 2010
DOI: 10.18739/a2500q
title: WHOI Ice Tethered Profiler #9
DOI: 10.18739/a25p3r
title: Ocean water property observations reported from ice-tethered profiler(ITP) #53,Beaufort Sea, 2011
DOI: 10.18739/a26s2q
title: WHOI Ice Tethered Profiler #15
DOI: 10.18739/a27g4p
title: Ocean water property observations reported from ice-tethered profiler(ITP) #52,Beaufort Sea, 2011
DOI: 10.18739/a27p3c
title: WHOI Ice Tethered Profiler #18
DOI: 10.18739/a28k41
title: WHOI Ice Tethered Profiler #12
DOI: 10.18739/a28p3p
title: Ocean water property observations reported from ice-tethered profiler(ITP) #54,Beaufort Sea, 2011
DOI: 10.18739/a29k3z
title: WHOI Ice Tethered Profiler #30
DOI: 10.18739/a2bg50
title: WHOI Ice Tethered Profiler #19
DOI: 10.18739/a2cc4w
title: Ocean water property observations reported from ice-tethered profiler(ITP) #37, Transpolar Drift, 2009
DOI: 10.18739/a2cg59
title: WHOI Ice Tethered Profiler #11
DOI: 10.18739/a2d578
title: WHOI Ice Tethered Profiler #7
DOI: 10.18739/a2dc5k
title: Ocean water property observations reported from ice-tethered profiler(ITP) #51,Transpolar Drift, 2011
DOI: 10.18739/a2f87m
title: WHOI Ice Tethered Profiler #27
DOI: 10.18739/a2g86j
title: WHOI Ice Tethered Profiler #21
DOI: 10.18739/a2gz9k
title: WHOI Ice Tethered Profiler #23
DOI: 10.18739/a2h00t
title: Ocean water property observations reported from ice-tethered profiler(ITP) #38, Transpolar Drift, 2010
DOI: 10.18739/a2hp2g
title: Ocean water property observations reported from ice-tethered profiler(ITP) #47,Transpolar Drift, 2011
DOI: 10.18739/a2hw15
title: WHOI Ice Tethered Profiler #1
DOI: 10.18739/a2js2t
title: WHOI Ice Tethered Profiler #29
DOI: 10.18739/a2kp23
title: WHOI Ice Tethered Profiler #14
DOI: 10.18739/a2mk2c
title: Ocean water property observations reported from ice-tethered profiler(ITP) #34, Beaufort Sea, 2009
DOI: 10.18739/a2n58t
title: WHOI Ice Tethered Profiler #13
DOI: 10.18739/a2ns2r
title: Ocean water property observations reported from ice-tethered profiler(ITP) #49,Transpolar Drift, 2011
DOI: 10.18739/a2nw1d
title: WHOI Ice Tethered Profiler #4
DOI: 10.18739/a2ps1p
title: WHOI Ice Tethered Profiler #24
DOI: 10.18739/a2qw11
title: WHOI Ice Tethered Profiler #22
DOI: 10.18739/a2rg4b
title: Ocean water property observations reported from ice-tethered profiler(ITP) #32, Beaufort Sea, 2009
DOI: 10.18739/a2rw0z
title: WHOI Ice Tethered Profiler #16
DOI: 10.18739/a2sg51
title: Ocean water property observations reported from ice-tethered profiler(ITP) #36, Transpolar Drift, 2009
DOI: 10.18739/a2sp2z
title: WHOI Ice Tethered Profiler #2
DOI: 10.18739/a2tc6p
title: WHOI Ice Tethered Profiler #25
DOI: 10.18739/a2vg48
title: WHOI Ice Tethered Profiler #10
DOI: 10.18739/a2w28z
title: Ocean water property observations reported from ice-tethered profiler(ITP) #42,Beaufort Sea, 2010
DOI: 10.18739/a2wc69
title: WHOI Ice Tethered Profiler #8
DOI: 10.18739/a2x589
title: Ocean water property observations reported from ice-tethered profiler(ITP) #55,Beaufort Sea, 2011
DOI: 10.18739/a2xc57
title: WHOI Ice Tethered Profiler #3
DOI: 10.18739/a2xw1w
title: WHOI Ice Tethered Profiler #28
DOI: 10.18739/a2zs15
title: WHOI Ice Tethered Profiler #19
DOI: 10.5281/zenodo.1214435
title: Binary black-hole simulation SXS:BBH:0323

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214468
title: Binary black-hole simulation SXS:BBH:1368

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214701
title: Binary black-hole simulation SXS:BBH:0322

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215595
title: Binary black-hole simulation SXS:BBH:0317

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215614
title: Binary black-hole simulation SXS:BBH:0324

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215623
title: Binary black-hole simulation SXS:BBH:1355

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215639
title: Binary black-hole simulation SXS:BBH:1356

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215653
title: Binary black-hole simulation SXS:BBH:1357

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215663
title: Binary black-hole simulation SXS:BBH:1358

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215668
title: Binary black-hole simulation SXS:BBH:1359

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215677
title: Binary black-hole simulation SXS:BBH:1360

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215690
title: Black-hole neutron-star binary simulation SXS:BHNS:0001

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215692
title: Binary black-hole simulation SXS:BBH:1361

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215694
title: Black-hole neutron-star binary simulation SXS:BHNS:0002

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215696
title: Binary black-hole simulation SXS:BBH:1362

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215702
title: Binary black-hole simulation SXS:BBH:1369

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215714
title: Binary black-hole simulation SXS:BBH:1370

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215721
title: Binary black-hole simulation SXS:BBH:1371

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215725
title: Binary black-hole simulation SXS:BBH:1372

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215733
title: Binary black-hole simulation SXS:BBH:1373

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215749
title: Binary black-hole simulation SXS:BBH:1374

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215768
title: Binary black-hole simulation SXS:BBH:1375

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215816
title: Binary black-hole simulation SXS:BBH:0033

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.7910/dvn/acouei
title: Growth and site variables in large plots of three agroforestry species in the Peruvian Amazon

description: This dataset was moved to: https://doi.org/10.34725/DVN/ACOUEIThe data set consists annualized mean monthly increments in large measurements plots of each of the three species, together with the site (environmental) data for each plot. Each plot consisted of two trees of each of 200 open-pollinated families of each species (established as part of a randomized complete block progeny test). All plots are located in Ucayali region, Peruvian Amazon.
DOI: 10.7910/dvn/rm2ayc
title: Bactris gasipaes (peach palm) progeny test fruit data

description: This dataset was moved to: https://doi.org/10.34725/DVN/RM2AYCThe data set consists of fruiting data from two randomized complete block provenance-progeny trials (‘97’ and ‘99’) of the Pampa Hermosa population (near Yurimaguas, Peru) of the Amazonian domesticated palm species Bactris gasipaes. See Notes for variables etc.
DOI: 10.14469/hpc/4027
title: Borate amidation. TS3, dissociation of amide from borate to form product, IRC

description: Gaussian Calculation
DOI: 10.18141/1432200
title: Experimental and Numerical Modeling Approach to Elucidating Damage Mechanisms in Cement-Well Casing-Host Rock Settings in Underground Storage of CO2

description: Carbon Storage TRS
DOI: 10.18141/1432201
title: Computed Tomography Scanning and Geophysical Measurements of Core from the Coldstream 1MH Well

description: UCR TRS
DOI: 10.18141/1432204
title: Analyzing Solutions High in Total Dissolved Solids for Rare Earth Elements (REEs) Using Cation Exchange and Online Pre-Concentration with the seaFAST2 Unit

description: UCR TRS
DOI: 10.18141/1432206
title: Computed Tomography Scanning and Geophysical Measurements of the Marcellus Formation from the Tippens 6HS Well

description: UCR TRS
DOI: 10.18141/1432253
title: Characterization of Martinsburg Formation using Computed Tomography and Geophysical Logging Techniques

description: UCR TRS
DOI: 10.18141/1432254
title: Assessment of Gas Potential in the Niobrara Formation, Rosebud Reservation, South Dakota

description: UCR TRS
DOI: 10.18141/1432255
title: Geologic Characterization of Johnson County, Texas

description: UCR TRS
DOI: 10.18141/1432256
title: Extent of Hydraulic Fractures in Shales

description: UCR TRS
DOI: 10.18141/1432258
title: The Assessment of Instruments for Detecting Surface Water Spills Associated with Oil and Gas Operations

description: UCR TRS
DOI: 10.18141/1432271
title: Characterization of the Oriskany and Berea Sandstones: Evaluating Biogeochemical Reactions

description: EPAct TRS
DOI: 10.18141/1432274
title: Sub-Grid Parameterizations for Oceanic Oil-Spill Simulations

description: Offshore TRS
DOI: 10.18141/1432303
title: 2H, 13C, 18O, 226Ra, and 228Ra Isotope Concentrations in the Appalachian Basin: A Review

description: UCR TRS
DOI: 10.18141/1432357
title: Data Report for Monitoring at Six West Virginia Marcellus Shale Development Sites using NETL’s Mobile Air Monitoring Laboratory (July–November 2012)

description: UCR TRS
DOI: 10.14469/hpc/4028
title: Borate amidation. TS2, PT from unbridged acyl oxygen to bridged acyl oxygen,followed by C-N bond cleavage, IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/4029
title: Borate amidation. Reaction path for formation of TI1 from separated reactants

description: Gaussian Calculation
DOI: 10.14469/hpc/4030
title: Borate amidation. TS1', PT for N to bridging acyl oxygen -1135.342292 ÎGâ¡ 21.41

description: Gaussian Calculation
DOI: 10.14469/hpc/4031
title: borate amidation. Separated reactants G = -1135.372176 ÎÎG +2.66

description: Gaussian Calculation
DOI: 10.15129/2fb54088-1187-48f2-832b-ef76cf5e7bc1
title: Data for: "Automated high accuracy, rapid beam hardening correction in X-Ray Computed Tomography of multi-mineral, heterogeneous core samples"

description: This dataset contains beam hardening correction macros, running on ImageJ software. It does not require any a priori knowledge of the material, distance from the source or the scan conditions (current, energy), nor any segmentation of phases or calibration scan on phantom data. It is suitable for expert and non-expert use alike. Workflow is included in "Step by step procedure" file. Two versions of the code are provided. Please use the “BeamHardening_Correction_plugin_NOaverage_profile” ijm file, if there is a gradient in average gray values from top to bottom of your sample. Requirements: - ImageJ/FIJI. Download available at https://imagej.net/Fiji/Downloads - Radial Profile Extended plug-in (Carl P., 2006). Download available at https://imagej.nih.gov/ij/plugins/radial-profile-ext.html If you intend to use this code or create derivative works, please give proper attribution to this work and authors by citing the DOI of the related paper. For more info and questions, please contact the creator Carla Romano via the contact address provided on this page. Check updates of the codes at: https://github.com/CarlaRomano/Beam-hardening-correction
DOI: 10.18141/1432275
title: Methods for Finding Legacy Wells in Large Areas

description: UCR TRS
DOI: 10.18141/1432276
title: Methods for Finding Legacy Wells in Residential and Commercial Areas

description: UCR TRS
DOI: 10.18739/a2kg4s
title: LeConte Glacier GPS data, 2016-2017
DOI: 10.18739/a2qg5d
title: LeConte Glacier passive seismic data, 2016-2017
DOI: 10.21223/p3/uvwvla
title: Dataset for: Modelling crops using high resolution multispectral images

description: The 45 multiespectral aerial images were adquired throughout the vegetative period of Corn, Sweet potato and Cassava crops on the framework of Rodrigo Morales's PhD project funded by BMGF and RTB CC5.2.1.2. The images were captured with a Remotely Piloted Aircraft System (RPAS), the system included an OKtokoter platform and an multiespectral camera (MicroADC-Tetracam). The multiespectral images are composed of information in the NIR, Red and Green bands. The images were acquired at 95 meteres average flight altitude
DOI: 10.5066/f70g3j23
title: Non-native fishes of the central Indian River Lagoon

description: We provide a comprehensive review of the status of non-native fishes in the central Indian River Lagoon (from Cape Canaveral to Grant-Valkaria, east of I-95) through literature review and field surveys. Historical records exist for 17 taxa (15 species, one hybrid, one species complex). We found historical records for one additional species and collected one species in our field survey that had never been recorded in the region before (and which we eradicated). Thus, we evaluate 19 total taxa herein. Of these, we document range expansion of four salt-tolerant cichlid species, extirpation of six species that were previously recorded from the area and eradication of three species. There was no noticeable change in geographic range for one widespread species and the records for one species are doubtful and may be erroneous. Currently, there is not enough information to evaluate geographic range for four species although at least one of these is established. We provide information on how non-native fishes may interact with or exacerbate phytoplankton blooms and resulting trophic cascades.
DOI: 10.5066/f7jh3kd9
title: Faunal and vegetation monitoring in response to harbor dredging in Port of Miami

description: Seagrasses are highly productive ecosystems. A before-after-control-impact (BACI) design was used to examine effects of dredging on seagrasses and the animals that inhabit them. The control site North Biscayne Bay (NBB) and impacted site Port of Miami (POM) had seagrass densities decreased during the before, Fish and Invertebrate Assessment Network (FIAN) 2006-2011 and after, Faunal Monitoring Due to Harbor Dredging (FMHD) 2014-2016 studies. Turbidity levels increased at NBB and POM basins during the FMHD study, especially in 2016. Animal populations decreased significantly in NBB and POM in the FMHD study compared to the FIAN study. If seagrass communities are not stabilized, animal numbers will likely continue to decrease. There could be impacts on several fisheries vital to the South Florida economy. Additional research could determine if animal populations and seagrass densities have rebounded or continued to decrease.
DOI: 10.5066/p975ggzq
title: Changes in imperviousness for U.S. urban areas, 1974-2012

description: This product consists of two sets of imperviousness calculations for 3,535 urban areas and urban clusters in the conterminous United States. Imperviousness is given as the percent of the area covered by impervious surfaces, such as roads, buildings, or parking lots. One set of calculations is for the time periods 2001, 2006, and 2011, based on the U.S. Geological Survey (USGS) National Land Cover Dataset (NLCD) imperviousness data layer. The second set of calculations is for the time periods 1974, 1982, 1992, 2002, and 2012, based on landuse-based coefficients from the USGS NAWQA Wall-to-wall Anthropogenic Landuse Trends (NWALT) product. Urban area boundaries are based on the U.S. Census Bureau 2015 Urban Areas boundaries. The Census Bureau polygon shapefile on which the calculations were based is also provided.
DOI: 10.5281/zenodo.1215914
title: TESS-FEBRUARY-2018

description: STARS4ALL Photometer Network (February 2018)
DOI: 10.5281/zenodo.1215915
title: TESS-FEBRUARY-2018

description: STARS4ALL Photometer Network (February 2018)
DOI: 10.5281/zenodo.1216126
title: Deprecated Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

description: This dataset is deprecated. <strong>The updated version of this Dataset is here:</strong> https://zenodo.org/record/3678559#.Xl9-Ji97FhE Dataset for the publication "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior". Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos and Nicolas Kourtellis. International AAAI Conference on Web and Social Media (ICWSM), 2018. The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform: hatespeech_labels.csv: contains ~100k rows, where every row consists of a unique Tweet ID and its associated majority annotation <em>UPDATE</em>: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, <strong>upon request</strong>, we can provide one more file with the full ~100k tweet text and their associated majority labels. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be aligned with the T&C of Twitter). To obtain the file contact a.m.founta at gmail dot com <strong>AND </strong>antonis26papa at gmail dot com. <em>Please cite the paper in any published work that uses any of these resources.</em> @inproceedings{founta2018large,<br> title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},<br> author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},<br> booktitle={11th International Conference on Web and Social Media, ICWSM 2018},<br> year={2018},<br> organization={AAAI Press}<br> } For any further questions contact a.m.founta at gmail dot com. Publication DOI: https://doi.org/10.5281/zenodo.1443348 Github: https://github.com/ENCASEH2020/hatespeech-twitter
DOI: 10.5281/zenodo.1216127
title: Deprecated Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

description: This dataset is deprecated. <strong>The updated version of this Dataset is here:</strong> https://zenodo.org/record/3678559#.Xl9-Ji97FhE Dataset for the publication "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior". Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos and Nicolas Kourtellis. International AAAI Conference on Web and Social Media (ICWSM), 2018. The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform: hatespeech_labels.csv: contains ~100k rows, where every row consists of a unique Tweet ID and its associated majority annotation <em>UPDATE</em>: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, <strong>upon request</strong>, we can provide one more file with the full ~100k tweet text and their associated majority labels. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be aligned with the T&C of Twitter). To obtain the file contact a.m.founta at gmail dot com <strong>AND </strong>antonis26papa at gmail dot com. <em>Please cite the paper in any published work that uses any of these resources.</em> @inproceedings{founta2018large,<br> title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},<br> author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},<br> booktitle={11th International Conference on Web and Social Media, ICWSM 2018},<br> year={2018},<br> organization={AAAI Press}<br> } For any further questions contact a.m.founta at gmail dot com. Publication DOI: https://doi.org/10.5281/zenodo.1443348 Github: https://github.com/ENCASEH2020/hatespeech-twitter
DOI: 10.18141/1432489
title: Development of Fiber Optic Sensors for Downhole pH Measurement

description: UCR TRS
DOI: 10.18141/1432491
title: Detection of Hydrates on Gas Bubbles during a Subsea Oil/Gas Leak

description: UCR TRS
DOI: 10.18141/1432495
title: Field-Generated Foamed Cement: Collection, Computed Tomography Scanning, and Analysis

description: Offshore TRS
DOI: 10.18141/1432522
title: Fatigue Crack Growth Rate of UD-165 in Sour Environments

description: Offshore TRS
DOI: 10.18141/1432528
title: Computed Tomography and Statistical Analysis of Bubble Size Distributions in Atmospheric-Generated Foamed Cement

description: Offshore TRS
DOI: 10.18141/1432534
title: An Assessment of Research Needs Related to Improving Primary Cement Isolation of Formations in Deep Offshore Wells

description: Offshore TRS
DOI: 10.18141/1432536
title: Integration of Spatial Data to Support Risk and Impact Assessments for Deep and Ultra-deepwater Hydrocarbon Activities in the Gulf of Mexico

description: Offshore TRS
DOI: 10.7910/dvn/sfgsq8
title: Control of the Papaya Ring-Spot Virus (PRSV-P) using agroforestry barrier crops in Ucayali, Peru

description: This dataset was moved to: https://doi.org/10.34725/DVN/SFGSQ8Data from a randomized complete block field trial established from August 2013 and measured from November 2014 to December 2015.
DOI: 10.14469/hpc/4032
title: Borate amidation. Product G = -1135.385604 ÎÎG = -5.77

description: Gaussian Calculation
DOI: 10.17863/cam.21892
title: Data supporting: Electrophysiological characterization and MCH/orexin neuronal distribution in the lateral hypothalamus of naked mole-rats (Heterocephalus glaber)

description: Raw and analysed electrophysiology, immunohistochemitry data, plus example immunohistochemistry images.
DOI: 10.18141/1432504
title: Adapting the National Energy Technology Laboratory’s Offshore Integrated Assessment Modeling Approach for the Offshore Arctic

description: Offshore TRS
DOI: 10.18141/1432530
title: High Temperature, High Pressure Equation of State Density Correlations and Viscosity Correlations

description: Offshore TRS
DOI: 10.5063/f1fb513k
title: Social complexity and kinship in mammalian species

description: The data presented in the sheet is the basis for the analyses reported in the article "Social complexity and kinship in animal societies", D. Lukas and T. H. Clutton-Brock, Ecology Letters (2018)
DOI: 10.18739/a2fs04
title: GPS-derived data from the Pâkitsoq Region, Western Greenland Ice Sheet during the 2011 summer melt season
DOI: 10.15493/saeon.egagasini.10000002
title: Position of Agulhas Current at satellite track 020 in INALT01 using technique described in Malan et. al (2018) JGR

description: Identification of core position of the Agulhas Current, as plotted in Fig. 3 of Malan et. al. (2018)