cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28vr41
title: CCDC 2111073: Experimental Crystal Structure Determination

description: Related Article: Jesús López, María Murillo, Ginés Lifante-Pedrola, Eugenio Cantelar, Javier Gonzalez-Platas, Ulises R. Rodríguez-Mendoza, Pilar Amo-Ochoa|2022|CrystEngComm|24|341|doi:10.1039/D1CE01315G
DOI: 10.5517/ccdc.csd.cc28vr52
title: CCDC 2111074: Experimental Crystal Structure Determination

description: Related Article: Jesús López, María Murillo, Ginés Lifante-Pedrola, Eugenio Cantelar, Javier Gonzalez-Platas, Ulises R. Rodríguez-Mendoza, Pilar Amo-Ochoa|2022|CrystEngComm|24|341|doi:10.1039/D1CE01315G
DOI: 10.5281/zenodo.5818821
title: tipologia_de_dades_pra2

description: Aquest dataset conté les dades per la realització de la pràctica 2 de tipologia i cicle de vida de les dades. El fitxer train.csv conté les dades amb les quals es comença l'analisis i el fitxer final_data.csv conté les dades finals.
DOI: 10.5281/zenodo.5818820
title: tipologia_de_dades_pra2

description: Aquest dataset conté les dades per la realització de la pràctica 2 de tipologia i cicle de vida de les dades. El fitxer train.csv conté les dades amb les quals es comença l'analisis i el fitxer final_data.csv conté les dades finals.
DOI: 10.5281/zenodo.5818994
title: Plicofollis nella SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5818993
title: Plicofollis nella SPAdes preassembly

description: .
DOI: 10.6073/pasta/556c211bc3aff64713aeb41dc367eedd
title: Spatial heterogeneity of within-stream methane concentrations North Temperate Lakes LTER, 2014

description: Streams, rivers, and other freshwater features may be significant sources of CH4 to the atmosphere. However, high spatial and temporal variabilities hinder our ability to understand the underlying processes of CH4 production and delivery to streams and also challenge the use of scaling approaches across large areas. We studied a stream having high geomorphic variability to assess the underlying scale of CH4 spatial variability and to examine whether the physical structure of a stream can explain the variation in surface CH4. A combination of high-resolution CH4 mapping, a survey of groundwater CH4 concentrations, quantitative analysis of methanogen DNA, and sediment CH4 production potentials illustrates the spatial and geomorphic controls on CH4 emissions to the atmosphere.
DOI: 10.5281/zenodo.3785351
title: NCBI Enterobacteriacea Closed Chromosome sequences

description: This is a dataset of high-quality complete chromosomes from NCBI which can be used as part of the MOB-suite as a chromosomal DNA depletion strategy to identify plasmids.
DOI: 10.5281/zenodo.3785350
title: NCBI Enterobacteriacea Closed Chromosome sequences

description: This is a dataset of high-quality complete chromosomes from NCBI which can be used as part of the MOB-suite as a chromosomal DNA depletion strategy to identify plasmids.
DOI: 10.6073/pasta/4b64d5c6bc2a597a39d4b49ca7f02215
title: Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format

description: The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
DOI: 10.6073/pasta/368a35c0dbbc66549b7615432dff3b95
title: WSC 2006: Spatial interactions among ecosystem services in the Yahara Watershed

description: Understanding spatial distributions, synergies and tradeoffs of multiple ecosystem services (benefits people derive from ecosystems) remains challenging. We analyzed the supply of 10 ecosystem services for 2006 across a large urbanizing agricultural watershed in the Upper Midwest of the United States, and asked: (i) Where are areas of high and low supply of individual ecosystem services, and are these areas spatially concordant across services? (ii) Where on the landscape are the strongest tradeoffs and synergies among ecosystem services located? (iii) For ecosystem service pairs that experience tradeoffs, what distinguishes locations that are win win exceptions from other locations? Spatial patterns of high supply for multiple ecosystem services often were not coincident locations where six or more services were produced at high levels (upper 20th percentile) occupied only 3.3 percent of the landscape. Most relationships among ecosystem services were synergies, but tradeoffs occurred between crop production and water quality. Ecosystem services related to water quality and quantity separated into three different groups, indicating that management to sustain freshwater services along with other ecosystem services will not be simple. Despite overall tradeoffs between crop production and water quality, some locations were positive for both, suggesting that tradeoffs are not inevitable everywhere and might be ameliorated in some locations. Overall, we found that different areas of the landscape supplied different suites of ecosystem services, and their lack of spatial concordance suggests the importance of managing over large areas to sustain multiple ecosystem services. Documentation: Refer to the supporting information of the follwing paper for full details on data sources, methods and accuracy assessment: Qiu, Jiangxiao, and Monica G. Turner. "Spatial interactions among ecosystem services in an urbanizing agricultural watershed." Proceedings of the National Academy of Sciences 110.29 (2013): 12149-12154.
DOI: 10.6073/pasta/ba163adec8a2d3816295afae977d36b3
title: WSC 2007 - 2012 Yahara Watershed surface water quality policies and practices created and implemented by public agencies

description: This dataset was created June 2012 - August 2013 to contribute to research under the Water Sustainability and Climate project. Interventions collected are those land-based policies and practices written and implemented by public agencies. Policies were implemented in Wisconsin's Yahara Watershed the period 2007-2012. They aim to improve surface water quality through nutrient (phosphorus and nitrogen) and sediment reduction. Interventions included in the mapping must have spatially-explicit, publicly available data through personal communication or website.
DOI: 10.34740/kaggle/dsv/3005113
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.17086871
title: Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models

description: Variable importance, interaction measures, and partial dependence plots are important summaries in the interpretation of statistical and machine learning models. In this article, we describe new visualization techniques for exploring these model summaries. We construct heatmap and graph-based displays showing variable importance and interaction jointly, which are carefully designed to highlight important aspects of the fit. We describe a new matrix-type layout showing all single and bivariate partial dependence plots, and an alternative layout based on graph Eulerians focusing on key subsets. Our new visualizations are model-agnostic and are applicable to regression and classification supervised learning settings. They enhance interpretation even in situations where the number of variables is large. Our R package vivid (variable importance and variable interaction displays) provides an implementation. Supplementary files for this article are available online.
DOI: 10.6084/m9.figshare.17086871.v1
title: Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models

description: Variable importance, interaction measures, and partial dependence plots are important summaries in the interpretation of statistical and machine learning models. In this article, we describe new visualization techniques for exploring these model summaries. We construct heatmap and graph-based displays showing variable importance and interaction jointly, which are carefully designed to highlight important aspects of the fit. We describe a new matrix-type layout showing all single and bivariate partial dependence plots, and an alternative layout based on graph Eulerians focusing on key subsets. Our new visualizations are model-agnostic and are applicable to regression and classification supervised learning settings. They enhance interpretation even in situations where the number of variables is large. Our R package vivid (variable importance and variable interaction displays) provides an implementation. Supplementary files for this article are available online.
DOI: 10.6073/pasta/59c043ff02ee13dfbabc66177717c3ee
title: WSC - Temperature and relative humidity data from 150 locations in and around Madison, Wisconsin from 2012 - 2018

description: To study the urban heat island and other local climatic processes in Madison, Wisconsin, in March 2012, 135 HOBO U23 Pro v2 temperature/relative humidity sensors in RS1 solar shields (Onset Computing) were attached to streetlight and utility poles in and around Madison, Wisconsin. Additional locations were added in 2012 and 2013 for a total of 150 locations. The sensors were installed at a height of 3.5 meters, and they automatically record instantaneous temperature and relative humidity every 15 minutes. This dataset includes all temperature/humidity measurements and a separate file with the coordinates of each measurement location.
DOI: 10.24431/rw1k6bs
title: Improving Aleutian Islands Bathymetry Through 2019

description: This project added more detail to our previously published smooth sheet bathymetry of the Aleutian Islands from 2013 so that we could improve the quality of our National Marine Fisheries Service (NMFS) bottom trawl survey bathymetry-based strata, improve our NMFS bottom trawl survey relative biomass estimates, and improve our stock assessments. Smooth sheets are the original, highly detailed precursors to the navigational charts, and we have developed the methods of working with them to publish the most detailed and accurate bathymetry for several regions of Alaska. NPRB Project 1604 provided funding for 1.5 years of the continued work of a highly trained and experienced GIS technician to revise our 2013 Aleutians smooth sheet bathymetry by accomplishing several specific objectives. 1) We digitized the shoreline of 3,009 islands for a total of 3,272 segments with a total length of 8,228,814 meters, all annotated with the MHW (Mean High Water) value from the smooth sheets (Shoreline.zip). 2) We proofed, edited and digitized 187,177 cartographic features including depths or elevations whenever they were available (Features.zip). We incorporated available 3) multibeam and 4) single-beam data into a new 5) 100 m horizontal resolution final depth surface (ai_grid_100m.zip), improving our description of deeper, offshore seafloor features and decreasing the previous gap of coverage around northern Atka Island, Amlia Island, and Seguam Island. 6) From this new depth surface we created new NMFS bottom trawl survey strata and used them to recalculate new biomass and variance estimates. In general, biomass changes were small but strata shifted spatially, as a result of more accurate depth contours (please see final report for details). 7) We calculated the size, maximum depth, maximum through depth, length, and tortuosity for the limiting passes (AI_Passes.zip). These passes serve as small connections between the North Pacific and Bering Sea. Inventory: ai_grid_100m,zip AI_Passes.zip Features.zip Shoreline.zip
DOI: 10.24431/rw1k6bt
title: Improving Aleutian Islands Bathymetry Through 2019

description: This project added more detail to our previously published smooth sheet bathymetry of the Aleutian Islands from 2013 so that we could improve the quality of our National Marine Fisheries Service (NMFS) bottom trawl survey bathymetry-based strata, improve our NMFS bottom trawl survey relative biomass estimates, and improve our stock assessments. Smooth sheets are the original, highly detailed precursors to the navigational charts, and we have developed the methods of working with them to publish the most detailed and accurate bathymetry for several regions of Alaska. NPRB Project 1604 provided funding for 1.5 years of the continued work of a highly trained and experienced GIS technician to revise our 2013 Aleutians smooth sheet bathymetry by accomplishing several specific objectives. 1) We digitized the shoreline of 3,009 islands for a total of 3,272 segments with a total length of 8,228,814 meters, all annotated with the MHW (Mean High Water) value from the smooth sheets (Shoreline.zip). 2) We proofed, edited and digitized 187,177 cartographic features including depths or elevations whenever they were available (Features.zip). We incorporated available 3) multibeam and 4) single-beam data into a new 5) 100 m horizontal resolution final depth surface (ai_grid_100m.zip), improving our description of deeper, offshore seafloor features and decreasing the previous gap of coverage around northern Atka Island, Amlia Island, and Seguam Island. 6) From this new depth surface we created new NMFS bottom trawl survey strata and used them to recalculate new biomass and variance estimates. In general, biomass changes were small but strata shifted spatially, as a result of more accurate depth contours (please see final report for details). 7) We calculated the size, maximum depth, maximum through depth, length, and tortuosity for the limiting passes (AI_Passes.zip). These passes serve as small connections between the North Pacific and Bering Sea. Inventory: ai_grid_100m,zip AI_Passes.zip Features.zip Shoreline.zip
DOI: 10.25345/c5ww1x
title: MassIVE MSV000088638 - Untargeted metabolomics to study ethanol induced hepatotoxicity in HepaRG cells
title: HepaRG cells were exposed to ethanol at the IC10 (H) and 1/10 of the IC10 (L) for 24 h and 48 h. Control samples and extraction blanks are denoted by C and B, respectively. The original experiment was validated using a second batch of HepaRG cells with the same experimental set-up.
DOI: 10.6084/m9.figshare.17868470
title: gamesdata.dta

description: Data on PC games released with Denuvo DRM<br>
DOI: 10.6084/m9.figshare.17868470.v1
title: gamesdata.dta

description: Data on PC games released with Denuvo DRM<br>
DOI: 10.5517/ccdc.csd.cc23wkq9
title: CCDC 1962911: Experimental Crystal Structure Determination

description: Related Article: Deqing Hu, Xuefeng Jiang|2022|Green Chemistry|24|124|doi:10.1039/D1GC04042A
DOI: 10.5517/ccdc.csd.cc25hklv
title: CCDC 2010957: Experimental Crystal Structure Determination

description: Related Article: Anna Wieczorek-Błauż, Karolina Kowalczyk, Andrzej Błauż, Anna Makal, Sylwia Pawlędzio, Chatchakorn Eurtivong, Homayon J. Arabshahi, Jóhannes Reynisson, Christian G. Hartinger, Błażej Rychlik, Damian Plażuk|2022|Dalton Trans.|51|491|doi:10.1039/D1DT03553C
DOI: 10.5517/ccdc.csd.cc25hkmw
title: CCDC 2010958: Experimental Crystal Structure Determination

description: Related Article: Anna Wieczorek-Błauż, Karolina Kowalczyk, Andrzej Błauż, Anna Makal, Sylwia Pawlędzio, Chatchakorn Eurtivong, Homayon J. Arabshahi, Jóhannes Reynisson, Christian G. Hartinger, Błażej Rychlik, Damian Plażuk|2022|Dalton Trans.|51|491|doi:10.1039/D1DT03553C
DOI: 10.5517/ccdc.csd.cc26jw9y
title: CCDC 2042010: Experimental Crystal Structure Determination

description: Related Article: Pengbo Han, Chengwei Lin, Kaojin Wang, Yanping Qiu, Haozhong Wu, Anjun Qin, Dongge Ma, Ben Zhong Tang|2022|Materials Horizons|9|376|doi:10.1039/D1MH01129D
DOI: 10.6084/m9.figshare.3761562.v2094
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: 10.5517/ccdc.csd.cc27rf3k
title: CCDC 2078088: Experimental Crystal Structure Determination

description: Related Article: Vladimir V. Parakhin, Galina V. Pokhvisneva, Tatyana V. Ternikova, Sergei V. Nikitin, Gennady A. Smirnov, Tat'yana S. Kon'kova, David B. Lempert, Alla N. Pivkina|2021|J.Mater.Chem.A|10|818|doi:10.1039/D1TA08866A
DOI: 10.5517/ccdc.csd.cc27srng
title: CCDC 2079376: Experimental Crystal Structure Determination

description: Related Article: Changkang Li, Hongqing Wang, Chaoxuan Dong, Jun Xie, Shengtian Lai, Jianbo Liu, Ruoyun Chen, Jie Kang|2022|Fitoterapia|156|105089|doi:10.1016/j.fitote.2021.105089
DOI: 10.5517/ccdc.csd.cc2801bp
title: CCDC 2085411: Experimental Crystal Structure Determination

description: Related Article: Dong Shao, Shruti Moorthy, Xiaodong Yang, Jiong Yang, Le Shi, Saurabh Kumar Singh, Zhengfang Tian|2021|Dalton Trans.|51|695|doi:10.1039/D1DT03489H
DOI: 10.5517/ccdc.csd.cc2801cq
title: CCDC 2085412: Experimental Crystal Structure Determination

description: Related Article: Dong Shao, Shruti Moorthy, Xiaodong Yang, Jiong Yang, Le Shi, Saurabh Kumar Singh, Zhengfang Tian|2021|Dalton Trans.|51|695|doi:10.1039/D1DT03489H
DOI: 10.5517/ccdc.csd.cc2874qd
title: CCDC 2092243: Experimental Crystal Structure Determination

description: Related Article: Kenta Sumitomo, Yuta Sudo, Kiseki Kanazawa, Kohsuke Kawabata, Kazuo Takimiya|2021|Materials Horizons|9|444|doi:10.1039/D1MH01119G
DOI: 10.5517/ccdc.csd.cc289l17
title: CCDC 2094578: Experimental Crystal Structure Determination

description: Related Article: Yunhao Fan, Mengmeng Han, Arui Huang, Qiuyan Liao, Jin Tu, Xiuxing Liu, Bohan Huang, Qianqian Li, Zhen Li|2022|Materials Horizons|9|368|doi:10.1039/D1MH01207J
DOI: 10.5517/ccdc.csd.cc289l39
title: CCDC 2094580: Experimental Crystal Structure Determination

description: Related Article: Yunhao Fan, Mengmeng Han, Arui Huang, Qiuyan Liao, Jin Tu, Xiuxing Liu, Bohan Huang, Qianqian Li, Zhen Li|2022|Materials Horizons|9|368|doi:10.1039/D1MH01207J
DOI: 10.5517/ccdc.csd.cc289l4b
title: CCDC 2094581: Experimental Crystal Structure Determination

description: Related Article: Yunhao Fan, Mengmeng Han, Arui Huang, Qiuyan Liao, Jin Tu, Xiuxing Liu, Bohan Huang, Qianqian Li, Zhen Li|2022|Materials Horizons|9|368|doi:10.1039/D1MH01207J
DOI: 10.5517/ccdc.csd.cc289l5c
title: CCDC 2094582: Experimental Crystal Structure Determination

description: Related Article: Yunhao Fan, Mengmeng Han, Arui Huang, Qiuyan Liao, Jin Tu, Xiuxing Liu, Bohan Huang, Qianqian Li, Zhen Li|2022|Materials Horizons|9|368|doi:10.1039/D1MH01207J
DOI: 10.5517/ccdc.csd.cc289lbj
title: CCDC 2094587: Experimental Crystal Structure Determination

description: Related Article: Yunhao Fan, Mengmeng Han, Arui Huang, Qiuyan Liao, Jin Tu, Xiuxing Liu, Bohan Huang, Qianqian Li, Zhen Li|2022|Materials Horizons|9|368|doi:10.1039/D1MH01207J
DOI: 10.5517/ccdc.csd.cc289lck
title: CCDC 2094588: Experimental Crystal Structure Determination

description: Related Article: Yunhao Fan, Mengmeng Han, Arui Huang, Qiuyan Liao, Jin Tu, Xiuxing Liu, Bohan Huang, Qianqian Li, Zhen Li|2022|Materials Horizons|9|368|doi:10.1039/D1MH01207J
DOI: 10.5517/ccdc.csd.cc28cgkp
title: CCDC 2096392: Experimental Crystal Structure Determination

description: Related Article: Kenta Sumitomo, Yuta Sudo, Kiseki Kanazawa, Kohsuke Kawabata, Kazuo Takimiya|2021|Materials Horizons|9|444|doi:10.1039/D1MH01119G
DOI: 10.5517/ccdc.csd.cc28hgpy
title: CCDC 2100240: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Wenbin Zhou, Xiaoying Lei, Suqing Zhao|2021|Fitoterapia|156|105028|doi:10.1016/j.fitote.2021.105028
DOI: 10.5517/ccdc.csd.cc28js0m
title: CCDC 2101490: Experimental Crystal Structure Determination

description: Related Article: Chengcheng Zhang, Yuanyuan Qin, Lijuan Duan, Lu Wang, Yuewei Wu, Yan Guo, Weiming Song, Xiangyu Liu|2022|Dalton Trans.|51|473|doi:10.1039/D1DT02935E
DOI: 10.5517/ccdc.csd.cc28kk7n
title: CCDC 2102241: Experimental Crystal Structure Determination

description: Related Article: Praseetha Mathoor Illam, Arnab Rit|2022|Cat.Sci.Tech.|12|67|doi:10.1039/D1CY01767E
DOI: 10.5517/ccdc.csd.cc28l7w0
title: CCDC 2102912: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l7x1
title: CCDC 2102913: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l7y2
title: CCDC 2102914: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l7z3
title: CCDC 2102915: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l805
title: CCDC 2102916: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l816
title: CCDC 2102917: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l827
title: CCDC 2102918: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l838
title: CCDC 2102919: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28l849
title: CCDC 2102920: Experimental Crystal Structure Determination

description: Related Article: Supajittra Yimthachote, Phongnarin Chumsaeng, Khamphee Phomphrai|2022|Dalton Trans.|51|509|doi:10.1039/D1DT02997E
DOI: 10.5517/ccdc.csd.cc28cpzb
title: CCDC 2096622: Experimental Crystal Structure Determination

description: Related Article: Feng Qi, Leighton O. Jones, Kui Jiang, Sei-Hum Jang, Werner Kaminsky, Jiyeon Oh, Hongna Zhang, Zongwei Cai, Changduk Yang, Kevin L. Kohlstedt, George C. Schatz, Francis R. Lin, Tobin J. Marks, Alex K.-Y. Jen|2021|Materials Horizons|9|403|doi:10.1039/D1MH01127H
DOI: 10.5517/ccdc.csd.cc28cq1f
title: CCDC 2096624: Experimental Crystal Structure Determination

description: Related Article: Feng Qi, Leighton O. Jones, Kui Jiang, Sei-Hum Jang, Werner Kaminsky, Jiyeon Oh, Hongna Zhang, Zongwei Cai, Changduk Yang, Kevin L. Kohlstedt, George C. Schatz, Francis R. Lin, Tobin J. Marks, Alex K.-Y. Jen|2021|Materials Horizons|9|403|doi:10.1039/D1MH01127H
DOI: 10.5281/zenodo.5819066
title: Galeichthys feliceps RB0510 GRAHAM decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5819065
title: Galeichthys feliceps RB0510 GRAHAM decontaminated FSCR

description: .