cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8156188
title: uct c-SD-01 03um D09mm

description: <strong># Summary:</strong> .X-Ray micro-computed tomography (micro-CT) of a Finest Silurian Dolomite (SD) sample (a mini-plug with 9 mm diameter), including both raw projection data and the final reconstruction, for resolution with voxel size of 3 μm. .The 3D image was generated with an X-Ray micro-CT Scanner version Xradia Versa 510 from Zeiss performed by A Pereira at the UFF micro-CT Facility. .For use of these data, please remember to cite the DOI of the Zenodo repository and relevant papers. <strong># Tomo Details:</strong> .Aquisition date: 2023-07-10 T3 .Voxel size: 3.012595 μm; .Camera Binning: 1; .Sample-source distance: 30 mm; .Sample-detector distance: 314 mm; .Optical magnification: 0.4X; .Filter: LE#2; .Beam energy: 100 kV; .Power: 10 W; .Current: 90 uA; .Exposure time: 15.0 sec; .Projections: 2401; .Image height: 2048; .Image width: 2004; .Images taken: 2021. <strong># Contents:</strong> .img_c-SD-01_1.jpg .img_c-SD-01_2.jpg .uct_c-SD-01_03um.md .uct_c-SD-01_03um_16bits.zip .uct_c-SD-01_03um_2401p.txrm .uct_c-SD-01_03um_2401p_Drift.txrm .vid_c-SD-01_03um.mpg
DOI: 10.5281/zenodo.8156187
title: uct c-SD-01 03um D09mm

description: <strong># Summary:</strong> .X-Ray micro-computed tomography (micro-CT) of a Finest Silurian Dolomite (SD) sample (a mini-plug with 9 mm diameter), including both raw projection data and the final reconstruction, for resolution with voxel size of 3 μm. .The 3D image was generated with an X-Ray micro-CT Scanner version Xradia Versa 510 from Zeiss performed by A Pereira at the UFF micro-CT Facility. .For use of these data, please remember to cite the DOI of the Zenodo repository and relevant papers. <strong># Tomo Details:</strong> .Aquisition date: 2023-07-10 T3 .Voxel size: 3.012595 μm; .Camera Binning: 1; .Sample-source distance: 30 mm; .Sample-detector distance: 314 mm; .Optical magnification: 0.4X; .Filter: LE#2; .Beam energy: 100 kV; .Power: 10 W; .Current: 90 uA; .Exposure time: 15.0 sec; .Projections: 2401; .Image height: 2048; .Image width: 2004; .Images taken: 2021. <strong># Contents:</strong> .img_c-SD-01_1.jpg .img_c-SD-01_2.jpg .uct_c-SD-01_03um.md .uct_c-SD-01_03um_16bits.zip .uct_c-SD-01_03um_2401p.txrm .uct_c-SD-01_03um_2401p_Drift.txrm .vid_c-SD-01_03um.mpg
DOI: 10.5517/ccdc.csd.cc2dg6qt
title: CCDC 2218196: Experimental Crystal Structure Determination

description: Related Article: Dimitra K. Gioftsidou, Georgios Landrou, Charikleia Tzatza, Antonios Hatzidimitriou, Emmanouil Orfanos, Georgios Charalambidis, Kalliopi Ladomenou, Athanassios G. Coutsolelos, Panagiotis A. Angaridis|2023|Dalton Trans.|52|9809|doi:10.1039/D3DT01052J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dg6wz
title: CCDC 2218201: Experimental Crystal Structure Determination

description: Related Article: Dimitra K. Gioftsidou, Georgios Landrou, Charikleia Tzatza, Antonios Hatzidimitriou, Emmanouil Orfanos, Georgios Charalambidis, Kalliopi Ladomenou, Athanassios G. Coutsolelos, Panagiotis A. Angaridis|2023|Dalton Trans.|52|9809|doi:10.1039/D3DT01052J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcfpy
title: CCDC 2245320: Experimental Crystal Structure Determination

description: Related Article: Ji-Jun Chen, Jia-Yong Zhang, Jia-Heng Fang, Xuan-Yi Du, Hai-Dong Xia, Bin Cheng, Nan Li, Zhang-Long Yu, Jun-Qian Bian, Fu-Li Wang, Jing-Jing Zheng, Wei-Long Liu, Qiang-Shuai Gu, Zhong-Liang Li, Xin-Yuan Liu|2023|J.Am.Chem.Soc.|145|14686|doi:10.1021/jacs.3c02387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcfqz
title: CCDC 2245321: Experimental Crystal Structure Determination

description: Related Article: Ji-Jun Chen, Jia-Yong Zhang, Jia-Heng Fang, Xuan-Yi Du, Hai-Dong Xia, Bin Cheng, Nan Li, Zhang-Long Yu, Jun-Qian Bian, Fu-Li Wang, Jing-Jing Zheng, Wei-Long Liu, Qiang-Shuai Gu, Zhong-Liang Li, Xin-Yuan Liu|2023|J.Am.Chem.Soc.|145|14686|doi:10.1021/jacs.3c02387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcfr0
title: CCDC 2245322: Experimental Crystal Structure Determination

description: Related Article: Ji-Jun Chen, Jia-Yong Zhang, Jia-Heng Fang, Xuan-Yi Du, Hai-Dong Xia, Bin Cheng, Nan Li, Zhang-Long Yu, Jun-Qian Bian, Fu-Li Wang, Jing-Jing Zheng, Wei-Long Liu, Qiang-Shuai Gu, Zhong-Liang Li, Xin-Yuan Liu|2023|J.Am.Chem.Soc.|145|14686|doi:10.1021/jacs.3c02387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcfs1
title: CCDC 2245323: Experimental Crystal Structure Determination

description: Related Article: Ji-Jun Chen, Jia-Yong Zhang, Jia-Heng Fang, Xuan-Yi Du, Hai-Dong Xia, Bin Cheng, Nan Li, Zhang-Long Yu, Jun-Qian Bian, Fu-Li Wang, Jing-Jing Zheng, Wei-Long Liu, Qiang-Shuai Gu, Zhong-Liang Li, Xin-Yuan Liu|2023|J.Am.Chem.Soc.|145|14686|doi:10.1021/jacs.3c02387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcft2
title: CCDC 2245324: Experimental Crystal Structure Determination

description: Related Article: Ji-Jun Chen, Jia-Yong Zhang, Jia-Heng Fang, Xuan-Yi Du, Hai-Dong Xia, Bin Cheng, Nan Li, Zhang-Long Yu, Jun-Qian Bian, Fu-Li Wang, Jing-Jing Zheng, Wei-Long Liu, Qiang-Shuai Gu, Zhong-Liang Li, Xin-Yuan Liu|2023|J.Am.Chem.Soc.|145|14686|doi:10.1021/jacs.3c02387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fd5xy
title: CCDC 2246040: Experimental Crystal Structure Determination

description: Related Article: Ji-Jun Chen, Jia-Yong Zhang, Jia-Heng Fang, Xuan-Yi Du, Hai-Dong Xia, Bin Cheng, Nan Li, Zhang-Long Yu, Jun-Qian Bian, Fu-Li Wang, Jing-Jing Zheng, Wei-Long Liu, Qiang-Shuai Gu, Zhong-Liang Li, Xin-Yuan Liu|2023|J.Am.Chem.Soc.|145|14686|doi:10.1021/jacs.3c02387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9gnsjvh
title: Estimated crop irrigation water use withdrawals in Willcox Groundwater Basin, Arizona for 2022

description: Observations of irrigated agricultural land within the Willcox Groundwater Basin in Arizona. Digitized field boundaries were used to locate crops for in situ verification twice in 2022; crop verification occurred first on May 17th and again on August 26th. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2021 imagery for Arizona and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application. Data are available as a shapefile for visualization or as a stand-alone csv table for attributes only. Bureau of Reclamation, 1992, Plan of study and methods manual for Colorado River system consumptive uses and losses report 1985?1990: Bureau of Reclamation, Appendix A, 23 p. � Doorenbos, J. and Pruitt, W.O.,1975, Guidelines for predicting crop water requirements: Irrigation and drainage paper FAO No. 24, p195, https://www.nrc.gov/docs/ML1821/ML18215A282.pdf. � Tadayon, Saeid, 2005, Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of Active Management Areas, 1991?2000: U.S. Geological Survey Scientific Investigations Report 2004-5293, 28 p, https://doi.org/10.3133/sir20045293. �
DOI: 10.5281/zenodo.8073680
title: Micro computed tomography images of capillary actions in natural sand

description: The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials. To study this, X-ray micro-computed tomography tests were performed on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to either drainage or soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were taken at different saturation states ranging from fully brine saturated to air dry conditions.
DOI: 10.5281/zenodo.8073679
title: Micro computed tomography images of capillary actions in natural sand

description: The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials. To study this, X-ray micro-computed tomography tests were performed on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to either drainage or soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were taken at different saturation states ranging from fully brine saturated to air dry conditions.
DOI: 10.5281/zenodo.8161450
title: It's buzziness time: rearing, mating, and overwintering Bombus vosnesenskii Radoszkowski (Hymenoptera: Apidae)

description: <em>Bombus vosnesenskii </em>is one of three bumble bee species commercially available for pollination services in North America; however, little is documented about <em>B. vosnesenskii</em> colony lifecycle or the establishment of <em>ex situ </em>rearing, mating, and overwintering practices. In this study, we documented nest success, colony size, and gyne production; recorded the duration of mating events; assessed overwintering survival of mated gynes; and evaluated second-generation nest success for colonies established from low and high elevation wild-caught <em>B. vosnesenskii </em>gynes<em>.</em> Of the 125 gynes installed, 62.4% produced brood cells (nest initiation) and 43.2% had at least one worker eclose (nest establishment). High elevation <em>B. vosnesenskii </em>queens had significantly higher nest initiation and establishment success than low elevation queens. However, low elevation colonies were significantly larger with queens producing more gynes on average. Mating was recorded for 200 low elevation and 37 high elevation gynes, resulting in a mean duration of 62 and 51 minutes, respectively. Mated gynes were then placed into cold storage for 54 days to simulate overwintering, which resulted in a survival rate of 59.1% for low elevation gynes and 91.9% for high elevation gynes. For second-generation low elevation gynes, 26.4% initiated nesting and 14.3% established nesting. Second-generation high elevation gynes did not initiate nesting despite CO<sub>2</sub> narcosis treatments. These results increase of understanding of <em>B. vosnesenskii</em> nesting, mating, and overwintering biology from two elevations. Further, this study provides information on successful husbandry practices that can be used by researchers and conservationists to address knowledge gaps and enhance captive rearing of bumble bees.
DOI: 10.5281/zenodo.8161449
title: It's buzziness time: rearing, mating, and overwintering Bombus vosnesenskii Radoszkowski (Hymenoptera: Apidae)

description: <em>Bombus vosnesenskii </em>is one of three bumble bee species commercially available for pollination services in North America; however, little is documented about <em>B. vosnesenskii</em> colony lifecycle or the establishment of <em>ex situ </em>rearing, mating, and overwintering practices. In this study, we documented nest success, colony size, and gyne production; recorded the duration of mating events; assessed overwintering survival of mated gynes; and evaluated second-generation nest success for colonies established from low and high elevation wild-caught <em>B. vosnesenskii </em>gynes<em>.</em> Of the 125 gynes installed, 62.4% produced brood cells (nest initiation) and 43.2% had at least one worker eclose (nest establishment). High elevation <em>B. vosnesenskii </em>queens had significantly higher nest initiation and establishment success than low elevation queens. However, low elevation colonies were significantly larger with queens producing more gynes on average. Mating was recorded for 200 low elevation and 37 high elevation gynes, resulting in a mean duration of 62 and 51 minutes, respectively. Mated gynes were then placed into cold storage for 54 days to simulate overwintering, which resulted in a survival rate of 59.1% for low elevation gynes and 91.9% for high elevation gynes. For second-generation low elevation gynes, 26.4% initiated nesting and 14.3% established nesting. Second-generation high elevation gynes did not initiate nesting despite CO<sub>2</sub> narcosis treatments. These results increase of understanding of <em>B. vosnesenskii</em> nesting, mating, and overwintering biology from two elevations. Further, this study provides information on successful husbandry practices that can be used by researchers and conservationists to address knowledge gaps and enhance captive rearing of bumble bees.
DOI: 10.5281/zenodo.8088426
title: A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube

description: This dataset includes the list of videos from TikTok and YouTube, regarding 20 different products, used in our study on utilizing videos to identify requirements relevant user feedback. We also provide the content and labeling for each video. In addition, we provide the search terms for each of the products that helped us find the videos.
DOI: 10.5281/zenodo.8088427
title: A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube

description: This dataset includes the list of videos from TikTok and YouTube, regarding 20 different products, used in our study on utilizing videos to identify requirements relevant user feedback. We also provide the content and labeling for each video. In addition, we provide the search terms for each of the products that helped us find the videos.
DOI: 10.6084/m9.figshare.23703960
title: Data from Klee et al. - Crayfish and snail interactions

description: Data includes iformation from each trial interaction between crayfish and snails that are predator naive or developed induced defenses in response to crayfish predation. Snail shell measurements, individual crayfish ID and all behavioral observations are recorded.
DOI: 10.14272/ontuwpykfsihqe-uhfffaoysa-n.1
title: C12H12N2O3S
title: InChI=1S/C12H12N2O3S/c1-3-17-11-8(2)18-12(13-11)9-5-4-6-10(7-9)14(15)16/h4-7H,3H2,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C12H12N2O3S/c1-3-17-11-8(2)18-12(13-11)9-5-4-6-10(7-9)14(15)16/h4-7H,3H2,1-2H3, and canonical SMILES descriptor[cheminf_000007]: CCOc1nc(sc1C)c1cccc(c1)[N+](=O)[O-], and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-34996 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: 92.2 (°C) Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0000630 | infrared absorption spectroscopy (IR) CHMO:0000796 | high-performance liquid chromatography-mass spectrometry (HPLC-MS) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/ontuwpykfsihqe-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C12H12N2O3S/c1-3-17-11-8(2)18-12(13-11)9-5-4-6-10(7-9)14(15)16/h4-7H,3H2,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (75 MHz, Chloroform-d [77.0 ppm], ppm) δ = 160.4, 156.1, 148.8, 135.7, 130.8, 129.8, 123.4, 120.0, 108.8, 66.5, 15.2, 9.4.
DOI: 10.14272/ontuwpykfsihqe-uhfffaoysa-n/chmo0000796
title: high-performance liquid chromatography-mass spectrometry (HPLC-MS) ()
title: InChI=1S/C12H12N2O3S/c1-3-17-11-8(2)18-12(13-11)9-5-4-6-10(7-9)14(15)16/h4-7H,3H2,1-2H3

description: dataset for high-performance liquid chromatography-mass spectrometry (HPLC-MS) MS(ESI) m/z = 265.06 [M+H]+.
DOI: 10.14272/ontuwpykfsihqe-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C12H12N2O3S/c1-3-17-11-8(2)18-12(13-11)9-5-4-6-10(7-9)14(15)16/h4-7H,3H2,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2988 (w), 2978 (w), 2947 (w), 2918 (w), 2899 (w), 2864 (w), 2854 (w), 1550 (s), 1526 (vs), 1482 (m), 1465 (w), 1440 (m), 1377 (s), 1339 (vs), 1315 (vs), 1273 (s), 1246 (m), 1172 (w), 1146 (vs), 1101 (w), 1088 (s), 1075 (s), 1038 (s), 1018 (s), 1000 (w), 985 (w), 934 (m), 923 (w), 903 (s), 872 (w), 847 (w), 815 (w), 802 (s), 764 (m), 736 (vs), 715 (vs), 702 (vs), 686 (s), 671 (vs) cm–1.
DOI: 10.14272/ontuwpykfsihqe-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C12H12N2O3S/c1-3-17-11-8(2)18-12(13-11)9-5-4-6-10(7-9)14(15)16/h4-7H,3H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (300 MHz, CDCl3) δ = 8.66 (d, J = 2.0 Hz, 1H), 8.22–8.08 (m, 2H), 7.56 (t, J = 8.0 Hz, 1H), 4.42 (q, J = 7.1 Hz, 2H), 2.32 (s, 3H), 1.41 (t, J = 7.1 Hz, 3H).
DOI: 10.5281/zenodo.8147413
title: Data for "Tracking physical delivery of electricity from generators to loads with power flow tracing"

description: Data and analysis code for "Tracking physical delivery of electricity from generators to loads with power flow tracing". Data includes the following folders: validation: Ground truth generation data for 2020 tracing: Power flow tracing results for one day secondary_analysis: Node-level power flow statistics networks: Solved networks, including Eastern U.S., Europe, Texas at 4 levels of clustering, and Europe with altered dispatch meta: between-node straight line distance for Eastern U.S. and Europe boundaries: shapefiles and per-node mappings for existing boundaries (Eastern U.S. and Europe) and example boundaries (Texas) analysis: physical delivery and deliverability metrics for all networks over all modeled days Code (`flow-delivery-analysis-main`) includes notebooks and helper functions for all visualizations and statistics in "Tracking physical delivery of electricity from generators to loads with power flow tracing". See the README for more information.
DOI: 10.5281/zenodo.8147412
title: Data for "Tracking physical delivery of electricity from generators to loads with power flow tracing"

description: Data and analysis code for "Tracking physical delivery of electricity from generators to loads with power flow tracing". Data includes the following folders: validation: Ground truth generation data for 2020 tracing: Power flow tracing results for one day secondary_analysis: Node-level power flow statistics networks: Solved networks, including Eastern U.S., Europe, Texas at 4 levels of clustering, and Europe with altered dispatch meta: between-node straight line distance for Eastern U.S. and Europe boundaries: shapefiles and per-node mappings for existing boundaries (Eastern U.S. and Europe) and example boundaries (Texas) analysis: physical delivery and deliverability metrics for all networks over all modeled days Code (`flow-delivery-analysis-main`) includes notebooks and helper functions for all visualizations and statistics in "Tracking physical delivery of electricity from generators to loads with power flow tracing". See the README for more information.
DOI: 10.7284/153067
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR69-02 using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153068
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AR69-02 using a SeaBird SBE-911+ instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153078
title: Flowmeter data collected during research cruise AR69-02 using a Thiel Thiel Flowmeter instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition