cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2850s8
title: CCDC 2090199: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Ermakova, Julia A. Eremina, Ksenia S. Smirnova, Lyubov S. Klyushova, Danila B. Kal'nyi, Taisiya S. Sukhikh, A.A. Zubenko, L.N. Fetisov, K.N. Kononenko, Elizaveta V. Lider|2021|Results in Chemistry|3|100239|doi:10.1016/j.rechem.2021.100239
DOI: 10.5517/ccdc.csd.cc1n46qq
title: CCDC 1523393: Experimental Crystal Structure Determination

description: Related Article: Jiyuan Du, Bin Duan, Lei Gao, Zhijie Jiang, Lin Sun, Pengtao Ma, Mingxue Li|2022|J.Mol.Struct.|1252|132223|doi:10.1016/j.molstruc.2021.132223
DOI: 10.5517/ccdc.csd.cc28bn9l
title: CCDC 2095609: Experimental Crystal Structure Determination

description: Related Article: Xuezhen Li, Jing He, Mingxi Du, Jie Zhang, Yanlong Gu, Luigi Vaccaro, Ping Liu|2022|Mol.Catal.|517|112051|doi:10.1016/j.mcat.2021.112051
DOI: 10.5517/ccdc.csd.cc28bnbm
title: CCDC 2095610: Experimental Crystal Structure Determination

description: Related Article: Xuezhen Li, Jing He, Mingxi Du, Jie Zhang, Yanlong Gu, Luigi Vaccaro, Ping Liu|2022|Mol.Catal.|517|112051|doi:10.1016/j.mcat.2021.112051
DOI: 10.5517/ccdc.csd.cc28cjsz
title: CCDC 2096461: Experimental Crystal Structure Determination

description: Related Article: Joanna E. Rode, Krzysztof Lyczko, Katarzyna Kosińska, Joanna Matalińska, Jolanta Dyniewicz, Aleksandra Misicka, Jan Cz. Dobrowolski, Piotr F.J. Lipiński|2022|Spectrochim.Acta,Part A|269|120761|doi:10.1016/j.saa.2021.120761
DOI: 10.5517/ccdc.csd.cc28q0qr
title: CCDC 2106534: Experimental Crystal Structure Determination

description: Related Article: Damilola C. Akintayo, Wisdom A. Munzeiwa, Sreekantha B. Jonnalagadda, Bernard Omondi|2022|Polyhedron|213|115589|doi:10.1016/j.poly.2021.115589
DOI: 10.5517/ccdc.csd.cc28q0rs
title: CCDC 2106535: Experimental Crystal Structure Determination

description: Related Article: Damilola C. Akintayo, Wisdom A. Munzeiwa, Sreekantha B. Jonnalagadda, Bernard Omondi|2022|Polyhedron|213|115589|doi:10.1016/j.poly.2021.115589
DOI: 10.5517/ccdc.csd.cc2921wb
title: CCDC 2117141: Experimental Crystal Structure Determination

description: Related Article: Sahel Karoui, Hassen Chouaib, Slaheddine Kamoun|2022|J.Mol.Struct.|1253|132206|doi:10.1016/j.molstruc.2021.132206
DOI: 10.6084/m9.figshare.14411048
title: 2018 Phenology Grasshopper Distributions

description: Data and code for modeling grasshopper range distributions in future climates.<br>
DOI: 10.6084/m9.figshare.14411048.v3
title: 2018 Phenology Grasshopper Distributions

description: Data and code for modeling grasshopper range distributions in future climates.<br>
DOI: 10.6084/m9.figshare.14411048.v2
title: 2018 Phenology Grasshopper Distributions

description: Data and code for modeling grasshopper range distributions in future climates.<br>
DOI: 10.6084/m9.figshare.13724116
title: 2020 Herbivory Tolerance of Wisconsin Plants

description: Data and code from an experiment assessing photosynthetic overcompensation for garlic mustard (Alliaria petiolata), skunk cabbage (Symplocarpus foetidus), big bluestem (Andropogon gerardii), and side oats grama (Bouteloua curtipendula)<br>
DOI: 10.6084/m9.figshare.13724116.v2
title: 2020 Herbivory Tolerance of Wisconsin Plants

description: Data and code from an experiment assessing photosynthetic overcompensation for garlic mustard (Alliaria petiolata), skunk cabbage (Symplocarpus foetidus), big bluestem (Andropogon gerardii), and side oats grama (Bouteloua curtipendula)<br>
DOI: 10.6084/m9.figshare.13724116.v1
title: 2020_herbiv_tolerance.tar.gz

description: Data and code from an experiment assessing photosynthetic overcompensation for garlic mustard (Alliaria petiolata), skunk cabbage (Symplocarpus foetidus), big bluestem (Andropogon gerardii), and side oats grama (Bouteloua curtipendula)<br>
DOI: 10.5519/qd.qrk8uzyw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9607 records)
DOI: 10.5281/zenodo.5815597
title: Erythoxylum coca zanfona pass 1

description: Reference: Erythroxylum novo preassembly.
DOI: 10.5281/zenodo.5815596
title: Erythoxylum coca zanfona pass 1

description: Reference: Erythroxylum novo preassembly.
DOI: 10.15468/w4vhed
title: Liste commentée des Saturniidae (Lepidoptera, Bombycoidea) de Guyane, avec la liste des taxons récoltés au Mitaraka (extrême sud-ouest guyanais)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bénéluz, Frédéric (2021): Liste commentée des Saturniidae (Lepidoptera, Bombycoidea) de Guyane, avec la liste des taxons récoltés au Mitaraka (extrême sud-ouest guyanais). Zoosystema 43 (31): 759-809, DOI: 10.5252/zoosystema2021v43a31
DOI: 10.5281/zenodo.5810888
title: Synthesizing Multiple Long-Term Datasets to Test Flow Ecology Relationships

description: This database is comprised of time series of fish abundances at stream and river sites across the contiguous United States, along with associated hydrologic and land cover metrics. The database has been assembled in order to test hypothesized fish flow-ecology relationships across diverse species assemblages and riverine contexts. Methods for compilation of the database and additional information can be found in two accompanying files: "SynthesizingDatasetsForFlowEcology_v1_0_0.pdf" contains detailed methodology and results, and "ReadMe_FishFlow_v1_0_0.csv" contains information about the variables found within each database file. This project was funded by a US Army Corps of Engineers contract to the US Geological Survey, with a subcontract to the University of Georgia. Please note, the contract number for this project is G21AC10482, not G21AS00529 as is stated in the summary document (SynthesizingDatasetsForFlowEcology_v1_0_0.pdf).
DOI: 10.5281/zenodo.5810887
title: Synthesizing Multiple Long-Term Datasets to Test Flow Ecology Relationships

description: This database is comprised of time series of fish abundances at stream and river sites across the contiguous United States, along with associated hydrologic and land cover metrics. The database has been assembled in order to test hypothesized fish flow-ecology relationships across diverse species assemblages and riverine contexts. Methods for compilation of the database and additional information can be found in two accompanying files: "SynthesizingDatasetsForFlowEcology_v1_0_0.pdf" contains detailed methodology and results, and "ReadMe_FishFlow_v1_0_0.csv" contains information about the variables found within each database file. This project was funded by a US Army Corps of Engineers contract to the US Geological Survey, with a subcontract to the University of Georgia. Please note, the contract number for this project is G21AC10482, not G21AS00529 as is stated in the summary document (SynthesizingDatasetsForFlowEcology_v1_0_0.pdf).
DOI: 10.5281/zenodo.5815607
title: Lacritin proteoforms prevent tear film collapse and maintain epithelial homeostasis

description: All the datasets related to the article Lacritin proteoforms prevent tear film collapse and maintain epithelial homeostasis, Georgiev et al., J Biol Chem, Jan-Jun 2021;296:100070. doi: 10.1074/jbc.RA120.015833. Epub 2020 Nov 21. The diverse methods onvolved are described in the article which is available in gold open access. The dataset is available also at these links: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948570/ https://www.sciencedirect.com/science/article/pii/S0021925820000575#appsec1 https://www.jbc.org/article/S0021-9258(20)00057-5/fulltext#supplementaryMaterial
DOI: 10.5281/zenodo.5815606
title: Lacritin proteoforms prevent tear film collapse and maintain epithelial homeostasis

description: All the datasets related to the article Lacritin proteoforms prevent tear film collapse and maintain epithelial homeostasis, Georgiev et al., J Biol Chem, Jan-Jun 2021;296:100070. doi: 10.1074/jbc.RA120.015833. Epub 2020 Nov 21. The diverse methods onvolved are described in the article which is available in gold open access. The dataset is available also at these links: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948570/ https://www.sciencedirect.com/science/article/pii/S0021925820000575#appsec1 https://www.jbc.org/article/S0021-9258(20)00057-5/fulltext#supplementaryMaterial
DOI: 10.5281/zenodo.5815397
title: Manuscritos griegos en España

description: Memoria para un curso sobre gestión documental. El presente documento supone una revisión de parte del contenido y de los enlaces para su actualización (marcados en amarillo). Cualquier sugerencia o comentario es bienvenido en carmen.garcia.bueno(a)cchs.csic.es. Documento con licencia <em>Creative Commons Attribution 4.0</em>
DOI: 10.5281/zenodo.5815396
title: Manuscritos griegos en España

description: Memoria para un curso sobre gestión documental. El presente documento supone una revisión de parte del contenido y de los enlaces para su actualización (marcados en amarillo). Cualquier sugerencia o comentario es bienvenido en carmen.garcia.bueno(a)cchs.csic.es. Documento con licencia <em>Creative Commons Attribution 4.0</em>
DOI: 10.5519/qd.xvx15zyy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2485 records)
DOI: 10.5517/ccdc.csd.cc280y7h
title: CCDC 2086276: Experimental Crystal Structure Determination

description: Related Article: Xiu-Qing Zhang, Fang-Min Chen, Qing Wen, Chi-Chi Zhou, Xiong He, Yan Li, Han-Fu Liu|2021|J.Mol.Struct.|1252|132183|doi:10.1016/j.molstruc.2021.132183
DOI: 10.5517/ccdc.csd.cc22f1td
title: CCDC 1919173: Experimental Crystal Structure Determination

description: Related Article: Xiu-Qing Zhang, Fang-Min Chen, Qing Wen, Chi-Chi Zhou, Xiong He, Yan Li, Han-Fu Liu|2021|J.Mol.Struct.|1252|132183|doi:10.1016/j.molstruc.2021.132183
DOI: 10.5517/ccdc.csd.cc28bn8k
title: CCDC 2095608: Experimental Crystal Structure Determination

description: Related Article: Xuezhen Li, Jing He, Mingxi Du, Jie Zhang, Yanlong Gu, Luigi Vaccaro, Ping Liu|2022|Mol.Catal.|517|112051|doi:10.1016/j.mcat.2021.112051
DOI: 10.5517/ccdc.csd.cc28d4hb
title: CCDC 2097041: Experimental Crystal Structure Determination

description: Related Article: Kajal Mal, Chhanda Mukhopadhyay|2022|J.Mol.Struct.|1253|132213|doi:10.1016/j.molstruc.2021.132213
DOI: 10.5517/ccdc.csd.cc28sc1h
title: CCDC 2108776: Experimental Crystal Structure Determination

description: Related Article: Benedikt S. Schreib, Mina Son, Françoise A. Aouane, Mu-Hyun Baik, Erick M. Carreira|2021|J.Am.Chem.Soc.|143|21705|doi:10.1021/jacs.1c11528
DOI: 10.5517/ccdc.csd.cc28sc4l
title: CCDC 2108779: Experimental Crystal Structure Determination

description: Related Article: Benedikt S. Schreib, Mina Son, Françoise A. Aouane, Mu-Hyun Baik, Erick M. Carreira|2021|J.Am.Chem.Soc.|143|21705|doi:10.1021/jacs.1c11528
DOI: 10.5517/ccdc.csd.cc28sc5m
title: CCDC 2108780: Experimental Crystal Structure Determination

description: Related Article: Benedikt S. Schreib, Mina Son, Françoise A. Aouane, Mu-Hyun Baik, Erick M. Carreira|2021|J.Am.Chem.Soc.|143|21705|doi:10.1021/jacs.1c11528
DOI: 10.5517/ccdc.csd.cc28sc6n
title: CCDC 2108781: Experimental Crystal Structure Determination

description: Related Article: Benedikt S. Schreib, Mina Son, Françoise A. Aouane, Mu-Hyun Baik, Erick M. Carreira|2021|J.Am.Chem.Soc.|143|21705|doi:10.1021/jacs.1c11528
DOI: 10.5517/ccdc.csd.cc28sc8q
title: CCDC 2108783: Experimental Crystal Structure Determination

description: Related Article: Benedikt S. Schreib, Mina Son, Françoise A. Aouane, Mu-Hyun Baik, Erick M. Carreira|2021|J.Am.Chem.Soc.|143|21705|doi:10.1021/jacs.1c11528
DOI: 10.5517/ccdc.csd.cc28sc9r
title: CCDC 2108784: Experimental Crystal Structure Determination

description: Related Article: Benedikt S. Schreib, Mina Son, Françoise A. Aouane, Mu-Hyun Baik, Erick M. Carreira|2021|J.Am.Chem.Soc.|143|21705|doi:10.1021/jacs.1c11528
DOI: 10.5517/ccdc.csd.cc28tfxg
title: CCDC 2109826: Experimental Crystal Structure Determination

description: Related Article: Chao Wang, Lirong Wang, Jilong Wang, Yu-Peng Li, Jun-Sheng Zhang, Peipei Shan, Hua Zhang|2022|Fitoterapia|156|105101|doi:10.1016/j.fitote.2021.105101
DOI: 10.5517/ccdc.csd.cc28tg1m
title: CCDC 2109830: Experimental Crystal Structure Determination

description: Related Article: Chao Wang, Lirong Wang, Jilong Wang, Yu-Peng Li, Jun-Sheng Zhang, Peipei Shan, Hua Zhang|2022|Fitoterapia|156|105101|doi:10.1016/j.fitote.2021.105101
DOI: 10.5517/ccdc.csd.cc28tg5r
title: CCDC 2109834: Experimental Crystal Structure Determination

description: Related Article: Chao Wang, Lirong Wang, Jilong Wang, Yu-Peng Li, Jun-Sheng Zhang, Peipei Shan, Hua Zhang|2022|Fitoterapia|156|105101|doi:10.1016/j.fitote.2021.105101
DOI: 10.5517/ccdc.csd.cc28tg6s
title: CCDC 2109835: Experimental Crystal Structure Determination

description: Related Article: Chao Wang, Lirong Wang, Jilong Wang, Yu-Peng Li, Jun-Sheng Zhang, Peipei Shan, Hua Zhang|2022|Fitoterapia|156|105101|doi:10.1016/j.fitote.2021.105101
DOI: 10.5517/ccdc.csd.cc28sm7y
title: CCDC 2109030: Experimental Crystal Structure Determination

description: Related Article: Meng-Ying Zhou, Jin Tong, Hong-Lin Lu, Xia-Yan Wang, Shu-Yan Yu|2022|Inorg.Chem.Commun.|136|109145|doi:10.1016/j.inoche.2021.109145
DOI: 10.5517/ccdc.csd.cc28jl9q
title: CCDC 2101313: Experimental Crystal Structure Determination

description: Related Article: Meng-Ying Zhou, Jin Tong, Hong-Lin Lu, Xia-Yan Wang, Shu-Yan Yu|2022|Inorg.Chem.Commun.|136|109145|doi:10.1016/j.inoche.2021.109145
DOI: 10.5517/ccdc.csd.cc28vqd8
title: CCDC 2111050: Experimental Crystal Structure Determination

description: Related Article: T.S. Lobana, M. Kaushal, R. Bhatia, R. Bala, R.J. Butcher, J.P. Jasinksi|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|30|doi:10.1107/S205322962101319X
DOI: 10.5517/ccdc.csd.cc28vqgb
title: CCDC 2111052: Experimental Crystal Structure Determination

description: Related Article: T.S. Lobana, M. Kaushal, R. Bhatia, R. Bala, R.J. Butcher, J.P. Jasinksi|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|30|doi:10.1107/S205322962101319X
DOI: 10.5517/ccdc.csd.cc28vqhc
title: CCDC 2111053: Experimental Crystal Structure Determination

description: Related Article: T.S. Lobana, M. Kaushal, R. Bhatia, R. Bala, R.J. Butcher, J.P. Jasinksi|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|30|doi:10.1107/S205322962101319X
DOI: 10.6084/m9.figshare.17299142
title: Data.zip

description: data from Bolkan, Stone, et al (2022). code to process and regenerate all figures can be found at: https://github.com/ssbolkan/BolkanStoneEtAl.git and https://github.com/irisstone/glmhmm.git<br><br><br>CONTENTS (12.8GB zipped, 21.9GB unzipped)<br>(1) DMS_AoE_GLMHMM_states.mat (multi-field structured arrays of concatenated trial-by-trial behavioral data for DMSD1 and DMSD2 mice performing accumulation of evidence task, including 3-state GLM-HMM state index and state probabilities)<br>(2) OffOn_TasksOrGroup_all.mat (multi-field structured arrays of concatenated trial-by-trial behavioral data for DMSD1, DMSD2, DMSCtrl, NACD1, NACD2, NACCtrl mice performing evidence accumulation (_aoe), no distractors (_nd) or permanent cues (_pc) tasks)<br>(3) rtPPdata.mat (real time conditioned place preference data)<br>(4) runningWheelSpikes.mat (multi-field structured array for 110 single-units recorded in DMS from D1R-Cre or D2R-Cre mice expressing AAV5-DIO-NpHR, receiving laser sweeps while head-fixed over a running wheel)<br>(5) taskShapingData.mat (summary of AoE, no distractors, or permanent cues task shaping, basic performance metrics x day)<br>(6) virtualCorridor.mat (multi-field structured arrays of concatenated trial-by-trial behavioral data for DMSD1, DMSD2 and DMSCtrl mice navigating a virtual corridor)<br>(7) four .xls files summarizing stereological quantification of D1R/D2R in situ hybridization expression in A2a/D2R/D1R-Cre mouse lines<br>*******************************************************************For a more detailed explanation of data files see: <br>https://github.com/ssbolkan/BolkanStoneEtAl/blob/main/Code/utility/logExplanation.m<br><br>https://github.com/ssbolkan/BolkanStoneEtAl/blob/main/Code/utility/spikeDataAll_Explanation.m<br><br>or contact: scott bolkansbolkan AT princeton DOT edu*******************************************************************
DOI: 10.6069/mgz2-6413
title: HPV Vaccination Cost Effectiveness Estimates

description: This dataset contains estimates on the cost-effectiveness of HPV vaccination in 195 countries. The probability that HPV vaccination was cost-saving in each country was predicted using a logistic regression model, and is reported by incremental cost-effectiveness ratio (ICER). Data used to produce the estimates came from 638 ICERs reported in 76 studies from the Tufts University’s Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry.
DOI: 10.3886/e146343v1
title: SMART: BRFSS City and County Data (2002-2015)

description: CDC analyzes BRFSS data for metropolitan and micropolitan statistical areas (MMSAs), to provide localizedhealth information that can help public health practitioners identify local emerging health problems, plan andevaluate local responses, and efficiently allocate resources to specific needs.The Selected Metropolitan/Micropolitan Area Risk Trends of BRFSS SMART BRFSS) uses BRFSS data to provideprevalence rates for selected conditions and behaviors for cities and their surrounding counties.<br><br>The files in this deposit were downloaded from the CDC website by Julia Dennett, Yale University, and Toby Chaiken, J-PAL North America, and archived by Travis Donahoe, Harvard University. Additional information edited by Michael Darisse and Lars Vilhuber, Cornell University and American Economic Association.<br><br>
DOI: 10.5281/zenodo.5792233
title: TESTAR sequence results

description: TESTAR test results datasets extracted with TESTAR tool using CODEO desktop application as System Under Test (SUT). These datasets have been generated to be used as an example to be automatically generated and introduced locally in DECODER PKM, from H2020 DECODER Project. TESTAR tool is an open source tool (www.testar.org) for automated testing through graphical user interface (GUI) currently being developed by the Universitat Politecnica de Valencia and the Open University of the Netherlands. CODEO (https://www.sysgo.com/codeo) is an Eclipse-based IDE that facilitates embedded applications development, by providing all the components software engineers need. The architecture configurations can be esaily done through the CODEO graphical tools. PKM is the Persistent Knowledge Monitor developed as main infrastructure from H2020 DECODER Project (www.decoder-project.eu) under grant agreement number 824231. As TESTAR explores automatically the SUT, it will use the Document Object Model (DOM) information extracted from MyThaiStar SUT, to generate and save a TESTAR State Model in the OrientDB graph database. This model contains information about the Widgets, States and Actions, that were found in the SUT. - ArtefactTestResults_codeo_74_2021-12-14_13h38m39s.zip: For DECODER project purposes, TESTAR test results knowledge has been summarized and referenced in an artifact JSON file to adapt to PKM input requirements. - CODEO_TestResults.zip: All the information obtained through the DOM is used graphically and semantically to create screenshots, logs and html reports that indicate how TESTAR has navigated in the exploration and indicates if any error has been detected.
DOI: 10.5281/zenodo.5792232
title: TESTAR sequence results

description: TESTAR test results datasets extracted with TESTAR tool using CODEO desktop application as System Under Test (SUT). These datasets have been generated to be used as an example to be automatically generated and introduced locally in DECODER PKM, from H2020 DECODER Project. TESTAR tool is an open source tool (www.testar.org) for automated testing through graphical user interface (GUI) currently being developed by the Universitat Politecnica de Valencia and the Open University of the Netherlands. CODEO (https://www.sysgo.com/codeo) is an Eclipse-based IDE that facilitates embedded applications development, by providing all the components software engineers need. The architecture configurations can be esaily done through the CODEO graphical tools. PKM is the Persistent Knowledge Monitor developed as main infrastructure from H2020 DECODER Project (www.decoder-project.eu) under grant agreement number 824231. As TESTAR explores automatically the SUT, it will use the Document Object Model (DOM) information extracted from MyThaiStar SUT, to generate and save a TESTAR State Model in the OrientDB graph database. This model contains information about the Widgets, States and Actions, that were found in the SUT. - ArtefactTestResults_codeo_74_2021-12-14_13h38m39s.zip: For DECODER project purposes, TESTAR test results knowledge has been summarized and referenced in an artifact JSON file to adapt to PKM input requirements. - CODEO_TestResults.zip: All the information obtained through the DOM is used graphically and semantically to create screenshots, logs and html reports that indicate how TESTAR has navigated in the exploration and indicates if any error has been detected.
DOI: 10.15468/699q65
title: Eritrichium aktonense, a new synonym of E. subjacquemontii (Boraginaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hao, Jia-Chen, Wang, Ying-Wei, Liu, Quan-Ru (2021): Eritrichium aktonense, a new synonym of E. subjacquemontii (Boraginaceae). Phytotaxa 529 (1): 119-124, DOI: 10.11646/phytotaxa.529.1.10
DOI: 10.18739/a2df6k45w
title: Coastal Ocean Dynamics in the Arctic (CODA): oceanographic moorings from 2019-2020 along the northern coast of Alaska

description: This dataset contains mooring observations of ocean waves, currents, and temperatures, as well as sea ice thickness, at three coastal sites along the northern coast of Alaska, with multiple cross-shore positions at each site. The data documents the annual cycle of the coastal environment, with wave activity and warm temperatures in the summer and fall, then ice cover and cold temperatures in the winter and spring. The cross-shore variations include the effects of land-fast ice (at positions close to the coast). The data were collected as part of the Coastal Ocean Dynamics in the Arctic (CODA) project, and the motivation of the project was to understand the oceanographic drivers of coastal erosion in the Arctic. Our methods emphasized in situ measurements of ocean surface waves, sea ice thickness, and water temperatures. We used seafloor platforms (moorings) to collect these data, with uplooking Acoustic Doppler Current Profilers and Altimeters as well as seafloor temperature and pressure.