cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8014453
title: Pandrin&Bertoldi - DEMs and Sediment Flux from Pi Flume experiments

description: # Pandrin and Bertoldi dataset<br> ## Topografic surveys and sediment flux measurements from laboratory flume experiments.<br> This dataset contains the outputs of the experiments performed with a laforatory flume at the University of Trento (Italy) by Enrico Pandrin and Walter Bertoldi<br> The dataset contains the following folders and files:<br> - DEMs folder: in this folder all the topographic surveys are collected. Each sub-folder represents a different flowing discharge. Inside each sub-folder there are 10 DEMs taken at equal timesteps. The DEMs are presented after a detrending process, so for each DEM the initial slope is subtracted. <br> - SED_FLUX folder: as above, each sub-folder represents a different flowing discharge. Inside each sub-folder there is a .ods file that contains sediment flux data over time.<br> - TOC.ods file: is the Table Of Contents that summarize for each experiment the main run parameters and the experimental setup parameters
DOI: 10.48331/scielo.2byhvl/ocn6op
title: Manuel Alejandro Flores Chavez_Internacionalizacion de autorias y coautorias en revistas SciELO indizadas en BIBLAT.pptx

description: :unav
DOI: 10.48331/scielo.2byhvl
title: Ranking de colaboración de revistas SciELO en BIBLAT

description: Presentación de Manuel Alejandro Flores Chávez en el Seminario SciELO México – SciELO 25 Años: Internacionalización de autorías y coautorías en revistas SciELO indizadas en BIBLAT. Página del evento: https://25.scielo.org/es/seminarios/mexico-biblat/
DOI: 10.25345/c5c24qz0c
title: MassIVE MSV000092121 - Formation of complex with CK2 and IP6K1 supports enzyme-independent pyrophosphorylation of substrate protein by InsP7
title: HEK293T cells transiently transfected to express either SFB-tagged GFP or SFB-tagged IP6K1 were lysed in NETN buffer (20 mM Tris-HCl, pH 8.0, 100 mM NaCl, 1 mM EDTA, 0.5% Nonidet P-40) containing protease and phosphatase inhibitor cocktails (Merck), at 4 degree C for 60 min. Cell debris were removed by centrifugation at 14000 x g for 10 min, and cell lysates were incubated with streptavidin-sepharose beads (Cytiva Life Sciences) for 1 h at 4 degree C with end-over-end rotation. The bound protein complexes were washed thrice with NETN buffer and then eluted with 2 mg/mL biotin (Merck) for 90 min at 4 degree C. The eluates were incubated with S-protein agarose beads (Novagen) for 1 h at 4 degree C and then washed thrice with NETN buffer. Proteins bound to S-protein agarose beads were boiled in 2x SDS sample buffer for 5 min, loaded on a 12% SDS polyacrylamide gel, allowed to run into the resolving gel up to 1 cm, and visualized by Coomassie Brilliant Blue staining. All proteins in the sample were excised in one gel slice and sent for mass spectrometry analysis to Taplin Biological Mass Spectrometry Facility at Harvard University, USA. Briefly, gel pieces were subjected to in-gel digestion with sequencing-grade trypsin (Promega), and the extracted peptides were resolved by reverse phase HPLC. Eluted peptides were subjected to electrospray ionization (ESI) and then allowed to enter an LTQ Orbitrap Velos Pro ion-trap mass spectrometer (Thermo Fisher Scientific). Peptides were detected, isolated, and fragmented to produce a tandem mass spectrum of specific fragment ions for each peptide. Peptide sequences (and hence protein identity) were determined by matching protein databases from UniProt (https://www.uniprot.org/taxonomy/10090) with the acquired fragmentation pattern by the software program, Sequest (Thermo Fisher Scientific).
DOI: 10.21227/ecv7-nz24
title: Online Admission Control and Resource Allocation in Network Slicing subject to Demand Uncertainties

description: This code is written according to two different scenarios.In the first scenario, Relative Deviations delta1=delta2for all requested VMs’ resources and VLs’ data rates areequal to 10%. Then, results for different protection levelsthat are specified with gama1=gama2 that their values are0 to 4, are presented. In the second scenario, gama1=gama2and their values are equal to 1 and the results are presentedfor different delta1=delta2 that their values are 0%, 10%,and 30%. Therefore, the code includes results 4 main sections:1) OEA-ONSU that is configured to solve senario 12) OEA-ONSU that is configured to solve senario 23) NEA-ONSU that is configured to solve senario 14) NEA-ONSU that is configured to solve senario 2
DOI: 10.5281/zenodo.5041510
title: Single nematode respiration rates

description: Single nematode respiration rates measured using a method presented in <em>Methods in Ecology and Evolution</em> article, archived in Zenodo, and therefore associated with a digital object identifier.
DOI: 10.5281/zenodo.5041509
title: Single nematode respiration rates

description: Single nematode respiration rates measured using a method presented in <em>Methods in Ecology and Evolution</em> article, archived in Zenodo, and therefore associated with a digital object identifier.
DOI: 10.6084/m9.figshare.14931555.v3
title: LIVECell

description: Light microscopy is a cheap, accessible, non-invasive modality that when combined with well-established protocols of two-dimensional cell culture facilitates high-throughput quantitative imaging to study biological phenomena. Accurate segmentation of individual cells enables exploration of complex biological questions, but this requires sophisticated imaging processing pipelines due to the low contrast and high object density. <br><br>Deep learning-based methods are considered state-of-the-art for most computer vision problems but require vast amounts of annotated data, for which there is no suitable resource available in the field of label-free cellular imaging. <br><br>To address this gap we present LIVECell, a high-quality, manually annotated and expert-validated dataset that is the largest of its kind to date, consisting of over 1.6 million cells from a diverse set of cell morphologies and culture densities. To further demonstrate its utility, we provide convolutional neural network-based models trained and evaluated on LIVECell.
DOI: 10.5517/ccdc.csd.cc26161j
title: CCDC 2026936: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26162k
title: CCDC 2026937: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26163l
title: CCDC 2026938: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26164m
title: CCDC 2026939: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26165n
title: CCDC 2026940: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26166p
title: CCDC 2026941: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26167q
title: CCDC 2026942: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26168r
title: CCDC 2026943: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc26169s
title: CCDC 2026944: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc2616bt
title: CCDC 2026945: Experimental Crystal Structure Determination

description: Related Article: Daniel Melcher, Òscar Àrias, Matthias Freytag, Peter G. Jones, Matthias Tamm|2020|Eur.J.Inorg.Chem.|2020|4454|doi:10.1002/ejic.202000835
DOI: 10.5517/ccdc.csd.cc261cxk
title: CCDC 2027118: Experimental Crystal Structure Determination

description: Related Article: Anna Dierks,  Lukas Fliegel,  Marc Schmidtmann,  Jens Christoffers|2020|Eur.J.Org.Chem.|2020|7164|doi:10.1002/ejoc.202001226
DOI: 10.5517/ccdc.csd.cc261vbg
title: CCDC 2027565: Experimental Crystal Structure Determination

description: Related Article: Denan Wang, James R. Gardinier|2020|Eur.J.Inorg.Chem.|2020|4425|doi:10.1002/ejic.202000721
DOI: 10.5517/ccdc.csd.cc265c1t
title: CCDC 2030935: Experimental Crystal Structure Determination

description: Related Article: Jing‐Peng Sa, Laure Guénée, Prodipta Pal, Josef Hamacek|2021|Eur.J.Inorg.Chem.|2021|276|doi:10.1002/ejic.202000861
DOI: 10.5517/ccdc.csd.cc265qsx
title: CCDC 2031299: Experimental Crystal Structure Determination

description: Related Article: Björn Greijer, Timothy De Donder, Gustav Nestor, Jan E. Eriksson, Gulaim A. Seisenbaeva, Vadim G. Kessler|2021|Eur.J.Inorg.Chem.|2021|54|doi:10.1002/ejic.202000855
DOI: 10.5517/ccdc.csd.cc265qty
title: CCDC 2031300: Experimental Crystal Structure Determination

description: Related Article: Björn Greijer, Timothy De Donder, Gustav Nestor, Jan E. Eriksson, Gulaim A. Seisenbaeva, Vadim G. Kessler|2021|Eur.J.Inorg.Chem.|2021|54|doi:10.1002/ejic.202000855
DOI: 10.5517/ccdc.csd.cc265qvz
title: CCDC 2031301: Experimental Crystal Structure Determination

description: Related Article: Björn Greijer, Timothy De Donder, Gustav Nestor, Jan E. Eriksson, Gulaim A. Seisenbaeva, Vadim G. Kessler|2021|Eur.J.Inorg.Chem.|2021|54|doi:10.1002/ejic.202000855
DOI: 10.5517/ccdc.csd.cc265qw0
title: CCDC 2031302: Experimental Crystal Structure Determination

description: Related Article: Björn Greijer, Timothy De Donder, Gustav Nestor, Jan E. Eriksson, Gulaim A. Seisenbaeva, Vadim G. Kessler|2021|Eur.J.Inorg.Chem.|2021|54|doi:10.1002/ejic.202000855
DOI: 10.5281/zenodo.4271724
title: Custom main spectra (MSP) library for the identification of Phytophthora species by MALDI-TOF MS

description: MALDI-TOF MS is a relatively new technology which has revolutionized the way microorganisms are identified. The method relies on the reproducible detection of microbial protein mass patterns obtained from whole cells, cell lysates, or crude bacterial extracts. Microbial MALDI-TOF mass spectra can be regarded as snapshots of the protein composition of the individual strains studied. The protein biomarkers are typically high-abundance proteins with housekeeping functions, such as ribosomal proteins. For microbial identification mass spectra are analysed by pattern-matching approaches by which mass spectra from the bacteria under study are matching against validated databases of microbial reference spectra. The availability of high-quality and comprehensive spectral databases has been considered of paramount importance for attaining accurate identification results. <strong>Samples</strong>: Culture of 43 selected strains belonging to 26 species of <em>Phytophthora </em>and as an outgroup one species belonging to the genus <em>Pythium </em>were obtained form the Czech Collection of Phytopathogenic Oomycetes (CCPO), https://www.vukoz.cz/index.php/en/collections/collection-of-phytopathogenic-oomycetes-of-rilog <br> <strong>Data collection and processing:</strong> Ethanol/Formic acid extraction sample preparation procedure according to Bruker instructions for use was used. Bruker Bacterial Test Standard (BTS, Bruker, DE) solution was used for calibration. Each spot was measured three times by MALDI-TOF MS Autoflex Speed (Bruker, DE) and flexControl 3.4 (Build 135) with a standard MALDI Biotyper method (MBT_FC.par). Ion source 1 was 19.38 kV, ion source 2 was 18.18 kV, and detection was set from 2 to 20 kDa. For each sample at least 24 spectra were measured, and each spectrum was collected by 2000 shots in 200 steps. For each measurement, the spectra were manually inspected by flexAnalysis 3.4 Compass 1.4 (Bruker Daltonics, DE) and then MSP spectra were processed by standard MALDI Biotyper MSP creation method using MALDI Biotyper Version 3.1 (Build 66).
description: This work was supported by the internal grant agency of Czech University of Life Sciences Prague (CIGA) Project no. 20182019 and the European Regional Development Fund-Project Centre for the investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of anthropogenic origin: comprehensive assessment of soil contamination risks for the quality of agricultural products (No. CZ.02.1.01/0.0/0.0/16_019/0000845). The authors are grateful for support and assistance provided by the Research Infrastructure METROFOOD-CZ supported by the Ministry of Education, Youth and Sports of the Czech Republic under Project No. LM2018100 and the Ministry of the Environment of the Czech Republic under Project No. IP–00027073–VUKOZ.
DOI: 10.5281/zenodo.4271723
title: Custom main spectra (MSP) library for the identification of Phytophthora species by MALDI-TOF MS

description: MALDI-TOF MS is a relatively new technology which has revolutionized the way microorganisms are identified. The method relies on the reproducible detection of microbial protein mass patterns obtained from whole cells, cell lysates, or crude bacterial extracts. Microbial MALDI-TOF mass spectra can be regarded as snapshots of the protein composition of the individual strains studied. The protein biomarkers are typically high-abundance proteins with housekeeping functions, such as ribosomal proteins. For microbial identification mass spectra are analysed by pattern-matching approaches by which mass spectra from the bacteria under study are matching against validated databases of microbial reference spectra. The availability of high-quality and comprehensive spectral databases has been considered of paramount importance for attaining accurate identification results. <strong>Samples</strong>: Culture of 43 selected strains belonging to 26 species of <em>Phytophthora </em>and as an outgroup one species belonging to the genus <em>Pythium </em>were obtained form the Czech Collection of Phytopathogenic Oomycetes (CCPO), https://www.vukoz.cz/index.php/en/collections/collection-of-phytopathogenic-oomycetes-of-rilog <br> <strong>Data collection and processing:</strong> Ethanol/Formic acid extraction sample preparation procedure according to Bruker instructions for use was used. Bruker Bacterial Test Standard (BTS, Bruker, DE) solution was used for calibration. Each spot was measured three times by MALDI-TOF MS Autoflex Speed (Bruker, DE) and flexControl 3.4 (Build 135) with a standard MALDI Biotyper method (MBT_FC.par). Ion source 1 was 19.38 kV, ion source 2 was 18.18 kV, and detection was set from 2 to 20 kDa. For each sample at least 24 spectra were measured, and each spectrum was collected by 2000 shots in 200 steps. For each measurement, the spectra were manually inspected by flexAnalysis 3.4 Compass 1.4 (Bruker Daltonics, DE) and then MSP spectra were processed by standard MALDI Biotyper MSP creation method using MALDI Biotyper Version 3.1 (Build 66).
description: This work was supported by the internal grant agency of Czech University of Life Sciences Prague (CIGA) Project no. 20182019 and the European Regional Development Fund-Project Centre for the investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of anthropogenic origin: comprehensive assessment of soil contamination risks for the quality of agricultural products (No. CZ.02.1.01/0.0/0.0/16_019/0000845). The authors are grateful for support and assistance provided by the Research Infrastructure METROFOOD-CZ supported by the Ministry of Education, Youth and Sports of the Czech Republic under Project No. LM2018100 and the Ministry of the Environment of the Czech Republic under Project No. IP–00027073–VUKOZ.
DOI: 10.5517/ccdc.csd.cc2660dv
title: CCDC 2031566: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660fw
title: CCDC 2031567: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660gx
title: CCDC 2031568: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660hy
title: CCDC 2031569: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660jz
title: CCDC 2031570: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660k0
title: CCDC 2031571: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660l1
title: CCDC 2031572: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660m2
title: CCDC 2031573: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2660n3
title: CCDC 2031574: Experimental Crystal Structure Determination

description: Related Article: Ahmad Hobballah, Rachid Motei, Sondes Lounissi, Catherine Elleouet, François Pétillon, Philippe Schollhammer|2021|Eur.J.Inorg.Chem.|2021|205|doi:10.1002/ejic.202000824
DOI: 10.5517/ccdc.csd.cc2669lb
title: CCDC 2031851: Experimental Crystal Structure Determination

description: Related Article: Lanlan Lv,  Yan Chen,  Andrey Shatskiy,  Jian-Quan Liu,  Xiaoyi Liu,  Markus Kärkäs,  Xiang-Shan Wang|2020|Eur.J.Org.Chem.|2021|964|doi:10.1002/ejoc.202001536
DOI: 10.5517/ccdc.csd.cc26651n
title: CCDC 2031710: Experimental Crystal Structure Determination

description: Related Article: Patrick Voßnacker, Thomas Keilhack, Nico Schwarze, Karsten Sonnenberg, Konrad Seppelt, Moritz Malischewski, Sebastian Riedel|2021|Eur.J.Inorg.Chem.|2021|1034|doi:10.1002/ejic.202001072
DOI: 10.5517/ccdc.csd.cc26652p
title: CCDC 2031711: Experimental Crystal Structure Determination

description: Related Article: Patrick Voßnacker, Thomas Keilhack, Nico Schwarze, Karsten Sonnenberg, Konrad Seppelt, Moritz Malischewski, Sebastian Riedel|2021|Eur.J.Inorg.Chem.|2021|1034|doi:10.1002/ejic.202001072
DOI: 10.5517/ccdc.csd.cc26655s
title: CCDC 2031714: Experimental Crystal Structure Determination

description: Related Article: Patrick Voßnacker, Thomas Keilhack, Nico Schwarze, Karsten Sonnenberg, Konrad Seppelt, Moritz Malischewski, Sebastian Riedel|2021|Eur.J.Inorg.Chem.|2021|1034|doi:10.1002/ejic.202001072
DOI: 10.5517/ccdc.csd.cc2665m7
title: CCDC 2031728: Experimental Crystal Structure Determination

description: Related Article: Alessio Vidal, Federica Battistin, Barbara Milani, Gabriele Balducci, Enzo Alessio|2021|Eur.J.Inorg.Chem.|2021|321|doi:10.1002/ejic.202000996
DOI: 10.5517/ccdc.csd.cc2665n8
title: CCDC 2031729: Experimental Crystal Structure Determination

description: Related Article: Alessio Vidal, Federica Battistin, Barbara Milani, Gabriele Balducci, Enzo Alessio|2021|Eur.J.Inorg.Chem.|2021|321|doi:10.1002/ejic.202000996
DOI: 10.5517/ccdc.csd.cc1zf12j
title: CCDC 1829777: Experimental Crystal Structure Determination

description: Related Article: Alessio Vidal, Federica Battistin, Barbara Milani, Gabriele Balducci, Enzo Alessio|2021|Eur.J.Inorg.Chem.|2021|321|doi:10.1002/ejic.202000996
DOI: 10.24384/p633-qk55
title: Slow Loris Dorsal Stripe Colouration Dataset
DOI: 10.21343/92a6-6369
title: Arctic sea-ice drift vectors using a S2S (swath-to-swath) approach.

description: Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
DOI: 10.6084/m9.figshare.13055747.v1
title: Data for: "Humans adjust virtual comfort-distance towards an artificial agent depending on their sexual orientation and prejudice toward sexuality"

description: The .xlsx file contains multiple sheets that include both the raw data and the processed data used for the analysis.The .Rmd file contains the codes used for the analysis. In order to run the correlations, the file "robust_correlation.stan" must be downloaded at: https://github.com/baezortega/bayes/tree/master/robust_correlation
DOI: 10.6084/m9.figshare.13055747
title: Data for: "Humans adjust virtual comfort-distance towards an artificial agent depending on their sexual orientation and prejudice toward sexuality"

description: The .xlsx file contains multiple sheets that include both the raw data and the processed data used for the analysis.The .Rmd file contains the codes used for the analysis. In order to run the correlations, the file "robust_correlation.stan" must be downloaded at: https://github.com/baezortega/bayes/tree/master/robust_correlation
DOI: 10.21343/a166-4y85
title: Arctic sea-ice drift vectors using a DM (daily-maps) approach.

description: Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.