cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6038987
title: Data and code for zu Ermgassen et al. "Addressing indirect sourcing in zero deforestation commodity supply chains"

description: Data and code required to reproduce figures and stats quoted in zu Ermgassen et al. "Addressing indirect sourcing in zero deforestation commodity supply chains"
DOI: 10.6084/m9.figshare.16587311.v7
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.5517/ccdc.csd.cc25n3nm
title: CCDC 2015330: Experimental Crystal Structure Determination

description: Related Article: Y. Chen, B. Wang, P. Fontenot, J.P. Donahue|2020|IUCrData|5|x200939|doi:10.1107/S2414314620009396
DOI: 10.25505/fiz.icsd.cc25hhpw
title: CSD 2010898: Experimental Crystal Structure Determination

description: Related Article: H.L. Deubner, S.I. Ivlev, F. Kraus|2020|IUCrData|5|x200960|doi:10.1107/S2414314620009608
DOI: 10.5517/ccdc.csd.cc25pjgw
title: CCDC 2016688: Experimental Crystal Structure Determination

description: Related Article: P.W.R. Corfield, T.J. Stavola|2020|IUCrData|5|x200968|doi:10.1107/S2414314620009682
DOI: 10.5517/ccdc.csd.cc25q0db
title: CCDC 2017151: Experimental Crystal Structure Determination

description: Related Article: M.J. Siddiqui, V.V. Nesterov, M.T. Steidle, B.W. Smucker|2020|IUCrData|5|x200980|doi:10.1107/S2414314620009803
DOI: 10.5517/ccdc.csd.cc25qm2m
title: CCDC 2017730: Experimental Crystal Structure Determination

description: Related Article: J.L. Hoffman, J.E. Akhigbe, E.W. Reinheimer, B.W. Smucker|2020|IUCrData|5|x200998|doi:10.1107/S2414314620009980
DOI: 10.5517/ccdc.csd.cc267c2x
title: CCDC 2032858: Experimental Crystal Structure Determination

description: Related Article: Ping-Ping Sun, Yu-Hang Zhang, Hongwei Shi, Fa-Nian Shi|2022|J.Solid State Chem.|307|122740|doi:10.1016/j.jssc.2021.122740
DOI: 10.5517/ccdc.csd.cc26mbw2
title: CCDC 2044384: Experimental Crystal Structure Determination

description: Related Article: Peng Li, Li‐Li Li, Shi‐Zhen Li, Wen‐Kui Dong|2021|Appl.Organomet.Chem.|35|e6335|doi:10.1002/aoc.6335
DOI: 10.5517/ccdc.csd.cc26mbx3
title: CCDC 2044385: Experimental Crystal Structure Determination

description: Related Article: Peng Li, Li‐Li Li, Shi‐Zhen Li, Wen‐Kui Dong|2021|Appl.Organomet.Chem.|35|e6335|doi:10.1002/aoc.6335
DOI: 10.5517/ccdc.csd.cc26vgn6
title: CCDC 2051228: Experimental Crystal Structure Determination

description: Related Article: D.V. Ureche, I.I. Bulhac, A.Gh. Ciocarlan, D. Roshca, Lucian T. Lupashcu, P.N. Bourosh|2021|Turk.J.Chem.|45|1873|doi:10.3906/kim-2104-24
DOI: 10.5517/ccdc.csd.cc26vgp7
title: CCDC 2051229: Experimental Crystal Structure Determination

description: Related Article: D.V. Ureche, I.I. Bulhac, A.Gh. Ciocarlan, D. Roshca, Lucian T. Lupashcu, P.N. Bourosh|2021|Turk.J.Chem.|45|1873|doi:10.3906/kim-2104-24
DOI: 10.5517/ccdc.csd.cc26znpk
title: CCDC 2055259: Experimental Crystal Structure Determination

description: Related Article: Ayushi Singh, Amita Singh, Gabriele Kociok‐Köhn, Manoj Trivedi, Abhinav Kumar|2021|Appl.Organomet.Chem.|35|e6299|doi:10.1002/aoc.6299
DOI: 10.5517/ccdc.csd.cc26znql
title: CCDC 2055260: Experimental Crystal Structure Determination

description: Related Article: Ayushi Singh, Amita Singh, Gabriele Kociok‐Köhn, Manoj Trivedi, Abhinav Kumar|2021|Appl.Organomet.Chem.|35|e6299|doi:10.1002/aoc.6299
DOI: 10.5517/ccdc.csd.cc26znrm
title: CCDC 2055261: Experimental Crystal Structure Determination

description: Related Article: Ayushi Singh, Amita Singh, Gabriele Kociok‐Köhn, Manoj Trivedi, Abhinav Kumar|2021|Appl.Organomet.Chem.|35|e6299|doi:10.1002/aoc.6299
DOI: 10.5517/ccdc.csd.cc26znsn
title: CCDC 2055262: Experimental Crystal Structure Determination

description: Related Article: Ayushi Singh, Amita Singh, Gabriele Kociok‐Köhn, Manoj Trivedi, Abhinav Kumar|2021|Appl.Organomet.Chem.|35|e6299|doi:10.1002/aoc.6299
DOI: 10.5517/ccdc.csd.cc278flk
title: CCDC 2063688: Experimental Crystal Structure Determination

description: Related Article: Li-Wen Shen, Zhen-Hua Wang, Yong You, Jian-Qiang Zhao, Ming-Qiang Zhou, Wei-Cheng Yuan|2022|Org.Lett.|24|1094|doi:10.1021/acs.orglett.2c00024
DOI: 10.5517/ccdc.csd.cc27n097
title: CCDC 2074808: Experimental Crystal Structure Determination

description: Related Article: Jiang Wan, Chun-Xiao Jiang, Yu Tang, Guang-Lei Ma, Ying-Peng Tong, Ze-Xin Jin, Yi Zang, Ezzat E.A. Osman, Jia Li, Juan Xiong, Jin-Feng Hu|2022|Bioorg.Chem.|120|105630|doi:10.1016/j.bioorg.2022.105630
DOI: 10.5517/ccdc.csd.cc27r4lr
title: CCDC 2077824: Experimental Crystal Structure Determination

description: Related Article: Dong-Sheng Ji, Hui Liang, Kai-Xuan Yang, Zhi-Tao Feng, Yong-Chun Luo, Guo-Qiang Xu, Yucheng Gu, Peng-Fei Xu|2022|Chemical Science|13|1801|doi:10.1039/D1SC06127E
DOI: 10.5519/qd.flqo0sxn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.19067723
title: Dengue MD files 2021

description: This dataset contains NETCDF files with trajectories as well as coordinates and topologies to use the files for visualization and analysis.
DOI: 10.5281/zenodo.3948069
title: Natural Sprites

description: This csv consists of (x-position, y-position, area) tuples of three views (left, middle, right) of downscaled binary masks with aspect ratio kept (64 x 128) from the 2019 YouTube-VIS challenge, which can be found at https://competitions.codalab.org/competitions/20127#participate-get-data. Extracting pairs from this csv results in 234,652 transitions in the given statistics. These statistics can be used to augment ground truth factor distributions with natural transitions, which we demonstrate with spriteworld. For details, we refer to our paper.
DOI: 10.5281/zenodo.3948068
title: Natural Sprites

description: This csv consists of (x-position, y-position, area) tuples of three views (left, middle, right) of downscaled binary masks with aspect ratio kept (64 x 128) from the 2019 YouTube-VIS challenge, which can be found at https://competitions.codalab.org/competitions/20127#participate-get-data. Extracting pairs from this csv results in 234,652 transitions in the given statistics. These statistics can be used to augment ground truth factor distributions with natural transitions, which we demonstrate with spriteworld. For details, we refer to our paper.
DOI: 10.21227/fk2r-yv89
title: Hyperspectral Image Dataset for Focus Analysis (HIDFA)

description: Hyperspectral Image Dataset for Focus Analysis (HIDFA) is composed by different hyperspectral (HS) images, acquired varying the working distance from the objective lens to produce different blurriness levels (11). HS images were captured from commercial samples (Brunel microscopes Ltd, England, UK) which include rat histology, leaf structures, stems, blood smears, and freshwater algae. Captures were taken using 5×, 10× and 20× magnification lenses in a HS microscope previously employed for different histology applications. Subjective scores based on the working distance from the sensor are included as reference. Furthermore, HS images at 10× magnification include mean opinion scores obtained from a subjective test performed over 24 subjects.
DOI: 10.17632/8tw4cfhzbc.1
title: Microbial protection favours mortality tolerance  and alters host-parasite coevolutionary dynamics

description: Data supporting the Current Biology paper: Microbial protection favours mortality tolerance  and alters host-parasite coevolutionary dynamics
DOI: 10.7912/d2/29
title: LabArchives User Surveys March 2019 and October 2019

description: Supplementary materials are available in IUPUI ScholarWorks. https://hdl.handle.net/1805/27739
DOI: 10.6084/m9.figshare.18142718.v10
title: gene

description: Transcriptomics was employed to analyze and compare gene expression levels of different groups. It showed that the expressions of genes (Cyp1a1, Noct, and TUBB6) related to liver injury were regulated by SBS.
DOI: 10.5066/p981ow6t
title: Avian Eggshell Thickness for 12 Species in the Western U.S. from 2014 to 2018

description: Eggshell thickness was measured at the egg equator and poles (sharp pole and blunt pole) for 12 avian species. Eggshell thickness was related to egg morphometrics (egg length and width), embryonic development, egg status, and mercury contamination. Individual eggshells each have up to 3 thickness measurements, linked by the eggshell identification. Each measurement has the corresponding egg length, egg width, egg status, mercury concentration, and nest identification. Additionally, eggshell thickness was measured at 5 equally spaced positions along the longitude of the egg (sharp pole, quarter egg, half egg, three quarter egg, and blunt pole) in a subset of Forster's tern (Sterna forsteri) eggs. These data support the following publication: Peterson, Sarah H., Ackerman, J.T., Herzog, M.P., Toney, M.S., Cooney, B., and Hartman, C.A. 2020. Avian eggshell thickness in relation to egg morphometrics, embryonic development, and mercury contamination. Ecology and Evolution
DOI: 10.5517/ccdc.csd.cc27sj2n
title: CCDC 2079141: Experimental Crystal Structure Determination

description: Related Article: Li-Wen Shen, Zhen-Hua Wang, Yong You, Jian-Qiang Zhao, Ming-Qiang Zhou, Wei-Cheng Yuan|2022|Org.Lett.|24|1094|doi:10.1021/acs.orglett.2c00024
DOI: 10.5517/ccdc.csd.cc27tpxp
title: CCDC 2080283: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tpyq
title: CCDC 2080284: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tpzr
title: CCDC 2080285: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq0t
title: CCDC 2080286: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq1v
title: CCDC 2080287: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq2w
title: CCDC 2080288: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq3x
title: CCDC 2080289: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq4y
title: CCDC 2080290: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq5z
title: CCDC 2080291: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq60
title: CCDC 2080292: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq71
title: CCDC 2080293: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc27tq82
title: CCDC 2080294: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Nikita A. Durandin, Jagadish K. Salunke, Nuno R. Candeias, Tero-Petri Ruoko, Jas S. Ward, Arri Priimagi, Kari Rissanen|2022|Mat.Advs.|3|1703|doi:10.1039/D1MA00438G
DOI: 10.5517/ccdc.csd.cc287bgb
title: CCDC 2092421: Experimental Crystal Structure Determination

description: Related Article: Fei-Hu Cui, Yuhui Hua, Yu-Mei Lin, Jiawei Fei, Le-Han Gao, Xiaodan Zhao, Haiping Xia|2022|J.Am.Chem.Soc.|144|2301|doi:10.1021/jacs.1c12586
DOI: 10.5517/ccdc.csd.cc287brm
title: CCDC 2092430: Experimental Crystal Structure Determination

description: Related Article: Fei-Hu Cui, Yuhui Hua, Yu-Mei Lin, Jiawei Fei, Le-Han Gao, Xiaodan Zhao, Haiping Xia|2022|J.Am.Chem.Soc.|144|2301|doi:10.1021/jacs.1c12586
DOI: 10.5517/ccdc.csd.cc287bsn
title: CCDC 2092431: Experimental Crystal Structure Determination

description: Related Article: Fei-Hu Cui, Yuhui Hua, Yu-Mei Lin, Jiawei Fei, Le-Han Gao, Xiaodan Zhao, Haiping Xia|2022|J.Am.Chem.Soc.|144|2301|doi:10.1021/jacs.1c12586
DOI: 10.5517/ccdc.csd.cc287btp
title: CCDC 2092432: Experimental Crystal Structure Determination

description: Related Article: Fei-Hu Cui, Yuhui Hua, Yu-Mei Lin, Jiawei Fei, Le-Han Gao, Xiaodan Zhao, Haiping Xia|2022|J.Am.Chem.Soc.|144|2301|doi:10.1021/jacs.1c12586
DOI: 10.5517/ccdc.csd.cc287bvq
title: CCDC 2092433: Experimental Crystal Structure Determination

description: Related Article: Fei-Hu Cui, Yuhui Hua, Yu-Mei Lin, Jiawei Fei, Le-Han Gao, Xiaodan Zhao, Haiping Xia|2022|J.Am.Chem.Soc.|144|2301|doi:10.1021/jacs.1c12586
DOI: 10.5066/p9ztojmu
title: Chaparral Type Conversion into Herbaceous Vegetation in Coastal Southern California from 1947 to 2014, Data Compiled from Aerial Imagery, Geographic NAD83 (2017)

description: This dataset contains data pertaining to vegetation type, woody versus herbaceous versus non-vegetated, for a random selection of points within the Santa Monica Mountains National Recreation Area of Southern California. These data were obtained from aerial imagery for the years 1947, 1977, 1995, 2005, and 2014 and were used to determine changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J. and Keeley, J.E., 2018. Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California. Diversity and Distributions. https://doi.org/10.1111/ddi.12827
DOI: 10.25345/c5cw18
title: MassIVE MSV000088818 - test test test test test test tes t es test test
title: test tetstststststststststfewtdgwjhdbwedgweyugdjkhbcwdhcgwuycgyuwechjwkbch
DOI: 10.6084/m9.figshare.19158455
title: Data of the paper Uranium isotopic composition and constraints on the provenance of the Qinghai-Tibet Plateau’s surface dust.docx

description: This work is the first to measure the <sup>234</sup>U and <sup>238</sup>U isotopic composition of surface dust particles in the cryospheric regions of the Tibetan Plateau and to use the uranium comminution age method to reveal the spatial distribution and variation of the (<sup>234</sup>U/<sup>238</sup>U) values and the evolution processes of Tibetan Plateau dust. In addition, we use the U isotopic composition of dust from several snowpack and cryoconite samples from glaciers in the Tibetan Plateau to constrain Tibetan Plateau dust transport distances and major sink areas. Together, the research provides new insights and understanding of Tibetan Plateau dust emissions and transport, regional tectonics, and landscape dynamics as well as the potential climate and environmental implications<br>
DOI: 10.6084/m9.figshare.19158455.v1
title: Data of the paper Uranium isotopic composition and constraints on the provenance of the Qinghai-Tibet Plateau’s surface dust.docx

description: This work is the first to measure the <sup>234</sup>U and <sup>238</sup>U isotopic composition of surface dust particles in the cryospheric regions of the Tibetan Plateau and to use the uranium comminution age method to reveal the spatial distribution and variation of the (<sup>234</sup>U/<sup>238</sup>U) values and the evolution processes of Tibetan Plateau dust. In addition, we use the U isotopic composition of dust from several snowpack and cryoconite samples from glaciers in the Tibetan Plateau to constrain Tibetan Plateau dust transport distances and major sink areas. Together, the research provides new insights and understanding of Tibetan Plateau dust emissions and transport, regional tectonics, and landscape dynamics as well as the potential climate and environmental implications<br>
DOI: 10.5281/zenodo.6040731
title: DISTEMA

description: DISTEMA_data: The training data (difference map) for DISTEMA DISTEMA_lable: The training label (gdt-ts score) for DISTEMA. DISTEMA: https://github.com/jianlin-cheng/DISTEMA
DOI: 10.5281/zenodo.6040730
title: DISTEMA

description: DISTEMA_data: The training data (difference map) for DISTEMA DISTEMA_lable: The training label (gdt-ts score) for DISTEMA. DISTEMA: https://github.com/jianlin-cheng/DISTEMA
DOI: 10.6073/pasta/f63186cfb7e70f13ddbb07590b276484
title: Abiotic monitoring of physical characteristics in porewaters and surface waters of mangrove forests from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), South Florida, USA, ongoing since December 2000

description: Data on porewater salinity, temperature, conductivity, pH and redox have been collected to help explain patterns found in porewater nutrient concentrations that were sampled in the same plots.
DOI: 10.5519/qd.sm6dvrbu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13064 records)
DOI: 10.6084/m9.figshare.18142718.v11
title: gene

description: Transcriptomics was employed to analyze and compare gene expression levels of different groups. It showed that the expressions of genes (Cyp1a1, Noct, and TUBB6) related to liver injury were regulated by SBS.
DOI: 10.6084/m9.figshare.19158560
title: Supplementary materials.xlsx

description: Supplementary materials for the study of <i>LncRNA Methylation in Breast Cancer by Yu Song, MD. from PUMCH, Beijing, China</i>
DOI: 10.6084/m9.figshare.19158560.v1
title: Supplementary materials.xlsx

description: Supplementary materials for the study of <i>LncRNA Methylation in Breast Cancer by Yu Song, MD. from PUMCH, Beijing, China</i>
DOI: 10.6084/m9.figshare.19158563
title: Mycobacterium_abscessus_cgMLST_scheme_v1.zip

description: chewBBACA generated first version of a cgMLST scheme for the <i>Mycobacterium abscessus</i> complex (MABC) subspecies, based on 1,262 ORFs, with a subset scheme of 882 genes. Folder contains the gene lists and the alleles identified in 1,663 MABC genomes. It can be directly used with chewBBACA version 2.8.5.
DOI: 10.6084/m9.figshare.19158563.v1
title: Mycobacterium_abscessus_cgMLST_scheme_v1.zip

description: chewBBACA generated first version of a cgMLST scheme for the <i>Mycobacterium abscessus</i> complex (MABC) subspecies, based on 1,262 ORFs, with a subset scheme of 882 genes. Folder contains the gene lists and the alleles identified in 1,663 MABC genomes. It can be directly used with chewBBACA version 2.8.5.
DOI: 10.5517/ccdc.csd.cc251k2w
title: CCDC 1997487: Experimental Crystal Structure Determination

description: Related Article: Marcos Morales-Santana, Sayuri Chong-Canto, José Martín Santiago-Quintana, Francisco J. Martínez-Martínez, Efrén V. García-Báez, Alejandro Cruz, Susana Rojas-Lima, Itzia I. Padilla-Martínez|2022|CrystEngComm|24|1017|doi:10.1039/D1CE01504D
DOI: 10.5517/ccdc.csd.cc251k1v
title: CCDC 1997486: Experimental Crystal Structure Determination

description: Related Article: Marcos Morales-Santana, Sayuri Chong-Canto, José Martín Santiago-Quintana, Francisco J. Martínez-Martínez, Efrén V. García-Báez, Alejandro Cruz, Susana Rojas-Lima, Itzia I. Padilla-Martínez|2022|CrystEngComm|24|1017|doi:10.1039/D1CE01504D
DOI: 10.5517/ccdc.csd.cc251k0t
title: CCDC 1997485: Experimental Crystal Structure Determination

description: Related Article: Marcos Morales-Santana, Sayuri Chong-Canto, José Martín Santiago-Quintana, Francisco J. Martínez-Martínez, Efrén V. García-Báez, Alejandro Cruz, Susana Rojas-Lima, Itzia I. Padilla-Martínez|2022|CrystEngComm|24|1017|doi:10.1039/D1CE01504D
DOI: 10.5517/ccdc.csd.cc20xbq0
title: CCDC 1874282: Experimental Crystal Structure Determination

description: Related Article: Marcos Morales-Santana, Sayuri Chong-Canto, José Martín Santiago-Quintana, Francisco J. Martínez-Martínez, Efrén V. García-Báez, Alejandro Cruz, Susana Rojas-Lima, Itzia I. Padilla-Martínez|2022|CrystEngComm|24|1017|doi:10.1039/D1CE01504D
DOI: 10.25345/c58w1b
title: MassIVE MSV000088819 - Orbicella faveolata Coral Study (NSU Summer and Fall samples)
title: Metabolomics data of extracts from Orbicella faveolata field samples. Corals are healthy and affected by SCTLD. Samples from ongoing study (summer and fall, multiple sites).
DOI: 10.6073/pasta/d275e5736e201ce52946c675bebe46f6
title: Chlorophyll and phaeopigments from water column samples, collected at selected depths at Palmer Station Antarctica, during the Palmer LTER field seasons, 1991 – 2021.

description: Phytoplankton chlorophyll sampling was led by Smith from the 1991-1992 season through the 2001-2002 season, and then by Vernet from the 2002-2003 season through the 2006-2007 season. Schofield is the third, and current lead, beginning in the 2008-2009 season. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Chlorophyll a (Chl a) is the principal photosynthetic pigment of phytoplankton, and is used as a proxy measurement for estimating phytoplankton biomass in water samples. Chl a concentrations reflect the distribution of active phytoplankton spatially and with depth in the water column and their changes over time. Phaeopigments are non-photosynthetic pigments that are degradation products of phytoplankton chlorophylls which form during and after phytoplankton blooms. Water samples are collected throughout the water column at stations within the Palmer LTER region (primarily B and E, to 50m and 65m respectively). Chlorophyll and phaeopigment concentrations are determined by filtration, extraction, and fluorometric detection of samples. The primary source of error for phaeopigment measurement is Chlorophyll b. If high amounts of Chlorophyll b are present in the sample, phaeopigments may be overestimated.
DOI: 10.5281/zenodo.6040986
title: Calculation results of the interaction between wet-dry weathering and bedload induced abrasion

description: Calculation results of the interaction between wet-dry weathering and bedload induced abrasion
DOI: 10.5281/zenodo.5144813
title: Calculation results of the interaction between wet-dry weathering and bedload induced abrasion

description: Calculation results of the interaction between wet-dry weathering and bedload induced abrasion