cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4539739
title: Chamoli Disaster Post-event DEM (2021-02-11 WorldView-2 Cross-track Stereo) and Preliminary DEM Difference Map

description: <strong>NOTE: The final version of this post-event DEM and difference map, with improved coverage can be found here: https://zenodo.org/record/4558692. Please use that open-access product, as this is a preliminary product with inferior quality.</strong> <strong>WorldView-2 Cross-track Stereo DEM from February 11, 2021</strong> This “fine quality” 2-m DEM was generated using the NASA Ames Stereo Pipeline v2.6.2_post (Beyer et. al, 2018; build d7eb7c8) and a modified version of the methodology presented in Shean et al. (2016). Two overlapping Maxar/DigitalGlobe WorldView-2 mono images were acquired on February 11, 2021 (Catalog IDs: 10300100B5B53500 and 10300100B5AB8400). While these images do not form an along-track (in-track) stereopair, the ~7.6° stereo convergence angle is sufficient to produce a DEM with limited accuracy. The output DEM (height above the WGS84 ellipsoid) was posted at 2.0 m with UTM 44N projection (EPSG:32644). The output DEM was then co-registered to a filtered version of the Pre-event WorldView-1 along-track DEM from May 5, 2015 (https://zenodo.org/record/4533679) with snow-covered areas and glaciers excluded. No additional quality control or correction has been performed. A preliminary DEM difference map between the 2015-05-07 and 2021-02-11 DEMs is included (HMA_DEM2m_AT_20150507_0635_102001003B302F00_102001003CC9C100_fine_HMA_DEM2m_CT_20210211_0523_10300100B5B53500_10300100B5AB8400_fine_diff.tif). However, systematic residual errors of several meters are present due to the sub-optimal stereo geometry of this cross-track DEM. Future versions of these products and new along-track DEMs will mitigate these issues and enable more precise elevation change measurements. A shaded relief map (*_hs.tif) is included for visualization. All files are tiled, LZW-compressed GeoTiff format with internal overviews (GDAL gauss resampling, to help fill residual gaps). If you use these data products, please cite this Zenodo repository (https://doi.org/10.5281/zenodo.4539740) and the Frontiers paper: Shean, D. E., Bhushan, S., Montesano, P., Rounce, D. R., Arendt, A., & Osmanoglu, B. (2020). A Systematic, Regional Assessment of High Mountain Asia Glacier Mass Balance. <em>Frontiers in Earth Science</em>, <em>7</em>. https://doi.org/10.3389/feart.2019.00363. Support provided by NASA High-Mountain Asia Team (HiMAT) and NASA Commercial Smallsat Data Acquisition Program (CSDAP). The Level-1B WorldView images were accessed under the NGA NextView license. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.
DOI: 10.5281/zenodo.4533678
title: Chamoli Disaster Pre-event DEM (2015-05-07 WorldView-1 Stereo)

description: <strong>NOTE: The final version of this pre-event DEM, with improved coverage can be found here: https://zenodo.org/record/4554647. Please use that open-access product, as this is a preliminary product with inferior quality.</strong> <strong>WorldView-1 Stereo DEM from May 7, 2015</strong> This “fine quality” 2-m DEM was generated using the NASA Ames Stereo Pipeline v2.6.2_post (Beyer et. al, 2018; build d7eb7c8) and a modified version of the methodology presented in Shean et al. (2016). Input Maxar/DigitalGlobe WorldView-1 images were acquired on May 7, 2015 (Catalog IDs: 102001003B302F00 and 102001003CC9C100). Images were orthorectified at the native 0.54 m GSD using the 30-m Copernicus DEM (converted to ellipsoidal heights) and cropped to the region of interest for the February 7, 2021 event. Specific ASP correlator settings, beyond defaults (https://stereopipeline.readthedocs.io/en/latest/stereodefault.html): --stereo-algorithm 2 (More Global Matching (MGM)) --cost-mode 3 (census transform) --subpixel-mode 9 (SGM Poly4) --corr-kernel 7x7 px --subpixel-kernel 15x15 px Output DEM (height above the WGS84 ellipsoid) was posted at 2.0 m with UTM 44N projection (EPSG:32644). The output DEM was then co-registered to a filtered/masked version of the 30-m Copernicus DEM, with no additional gap filling or filtering. A shaded relief map is included for visualization. Both files are tiled, LZW-compressed GeoTiff format with internal overviews (GDAL gauss resampling, to help fill residual gaps). An initial version of the full 8-m DEM strip for this stereo pair was released as HMA_DEM8m_AT_20150507_0635_102001003B302F00_102001003CC9C100.tif in the NSIDC HiMAT data portal: https://nsidc.org/data/HMA_DEM8m_AT/versions/1. If you use these data products, please cite this Zenodo repository (https://doi.org/10.5281/zenodo.4533679) and the Frontiers paper: Shean, D. E., Bhushan, S., Montesano, P., Rounce, D. R., Arendt, A., & Osmanoglu, B. (2020). A Systematic, Regional Assessment of High Mountain Asia Glacier Mass Balance. <em>Frontiers in Earth Science</em>, <em>7</em>. https://doi.org/10.3389/feart.2019.00363. Support provided by NASA High-Mountain Asia Team (HiMAT) and NASA Commercial Smallsat Data Acquisition Program (CSDAP). The Level-1B WorldView images were accessed under the NGA NextView license. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.
DOI: 10.5517/ccdc.csd.cc27dpbp
title: CCDC 2067772: Experimental Crystal Structure Determination

description: Related Article: Shalu Gupta, Marilyn Daisy Milton|2021|J.Photochem.Photobiol.A:Chem.|424|113630|doi:10.1016/j.jphotochem.2021.113630
DOI: 10.5517/ccdc.csd.cc27w0tz
title: CCDC 2081551: Experimental Crystal Structure Determination

description: Related Article: Yu-Tao Zhao, Yu-Xuan Su, Xiao-Yu Li, Liang-Liang Yang, Ming-Yao Huang, Shou-Fei Zhu|2021|Angew.Chem.,Int.Ed.|60|24214|doi:10.1002/anie.202109447
DOI: 10.5517/ccdc.csd.cc282qvy
title: CCDC 2088000: Experimental Crystal Structure Determination

description: Related Article: Devulapally Yogananda Chary, Kamtam Aashritha, Balasubramanian Sridhar, Basi V. Subba Reddy|2021|Tetrahedron Lett.|86|153501|doi:10.1016/j.tetlet.2021.153501
DOI: 10.5281/zenodo.5762604
title: Korasidis_etal_Paleooceanography_Paleoclimatology

description: Korasidis et al Paleooceanography and Paleoclimatology December 2021. Includes data and code (open access) instructions for publication with journal article. Paleo Tool Kit Description file: PaleoToolkit_Recipe_2020Jan1.pdf Model Data: &lt;casename&gt; netcdf files Proxy Data: Zip file Modern reference Data citation Description and Key: Datashare_description_v_zenodo.docx
DOI: 10.5281/zenodo.5762603
title: Korasidis_etal_Paleooceanography_Paleoclimatology

description: Korasidis et al Paleooceanography and Paleoclimatology December 2021. Includes data and code (open access) instructions for publication with journal article. Paleo Tool Kit Description file: PaleoToolkit_Recipe_2020Jan1.pdf Model Data: &lt;casename&gt; netcdf files Proxy Data: Zip file Modern reference Data citation Description and Key: Datashare_description_v_zenodo.docx
DOI: 10.15468/dnhfs5
title: Correction d’une erreur à propos de Pachypodium cactipes K. Schum.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Castillon, Jean-Philippe, Castillon, Jean-Bernard, Rapanarivo, Solo H. J. V. (2021): Correction d’une erreur à propos de Pachypodium cactipes K. Schum. Adansonia (3) 43 (23): 251-255, DOI: 10.5252/adansonia2021v43a23
DOI: 10.5281/zenodo.5764847
title: Erratum: Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector [Phys. Rev. D 102, 082001 (2020)]

description: Corrections to the results from O<sub>3</sub> operator in Phys. Rev. D 102, 082001. "Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector".
DOI: 10.5281/zenodo.3998891
title: Erratum: Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector [Phys. Rev. D 102, 082001 (2020)]

description: Corrections to the results from O<sub>3</sub> operator in Phys. Rev. D 102, 082001. "Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector".
DOI: 10.5281/zenodo.5744902
title: Erratum: Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector [Phys. Rev. D 102, 082001 (2020)]

description: Corrections to the results from O<sub>3</sub> operator in Phys. Rev. D 102, 082001. "Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector".
DOI: 10.5066/p9mz5ncr
title: Phytoplankton data for Milford Lake and the Republican River, Kansas, May 2016 through June 2020

description: This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Milford Lake and the Republican River, Kansas, during May 2016 through June 2020. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the federal open-data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at 42 USGS sample locations at Milford Lake and 1 USGS sample location on the Republican River. Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.
DOI: 10.5066/p9iery9d
title: In vitro expression, immunogenicity, and efficacy data from recombinant raccoon poxvirus-vectored rabies vaccine candidates tested in mice

description: This work is part of an experimental trial to develop and assess novel recombinant raccoonpox virus (RCN) rabies vaccines in the mouse model, for potential use in bats. Briefly, our research group previously developed a recombinant RCN vaccine candidate expressing a mosaic glycoprotein (MoG) gene that protected mice and big brown bats when challenged with rabies virus (RABV). We developed two new recombinant RCN candidates expressing MoG (RCN-tPA-MoG and RCN-SS-TD-MoG) with the aim of improving RCN-MoG. We assessed and compared in vitro expression, in vivo immunogenicity, and protective efficacy in vaccinated mice challenged intracerebrally with RABV. In this data set, we share results of immunofluorescence assay quantification, recombinant virus growth curves, and antibody titer assays with mouse sera. Additionally, we share mouse weights and weight changes following RABV challenge, as well as RABV challenge study survival results. These data demonstrate that vaccination with either RCN-tPA-MoG or RCN-MoG confers adequate protection from rabies infection, and either may be a sufficient vaccine candidate for bats in future work.
DOI: 10.5281/zenodo.5765197
title: SOFIA Recipe example data

description: Example data for basic inspection and analysis of SOFIA data. Includes data for multiple instruments.
DOI: 10.25345/c5z58z
title: MassIVE MSV000088537 - AAC_Protemics: MEM Sample DAP-R MRSA D712
title: DAP-R MRSA Strain D712 Meropenem Pre-Conditioning from Proteome Discoverer
DOI: 10.5066/p9yze3cw
title: Annual survival, site fidelity, and longevity in the eastern population of the Painted Bunting (Passerina ciris)

description: Data comprise 6632 observations of individually banded Painted Buntings, captured and observed from 1999-2016 at 40 study locations on the southeastern Atlantic Coast (NC, SC, GA and FL, US).
DOI: 10.25345/c5tp30
title: MassIVE MSV000088538 - AAC_Protemics: LOX Sample DAP-R MRSA D712
title: DAP-R MRSA Strain D712 Cloxacillin Pre-Conditioning from Proteome Discoverer
DOI: 10.5066/p9ymsm8i
title: Eastern Ecological Science CenterxLegacy Data ReleasesPatuxent Wildlife Research CenterPredicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region

description: Values for predicted probabilities of avian species occupancy were determined using colonization-extinction models (MacKenzie and others, 2003) as implemented in R (Version 3.4.4; https://www.r-project.org/) via the colext function of the Unmarked package (Version 0.12-0; Fiske and Chandler 2011). Performance of a null model (without covariates) and 153 additional models that assessed the effects of geographic coordinates and habitat context covariates were evaluated using Akaike information criteria (AIC; Burnham and Anderson, 2002). When more than one model had substantial support, their respective model weights were used to spatially predict occupancy relative to covariate influence. Predictive model covariates and weights are provided in Appendix 4 (Twedt and Mini, 2020).
DOI: 10.5281/zenodo.5763651
title: AZtec files for 'Large EBSD Dataset of Forged Ti64' - https://doi.org/10.5281/zenodo.5734898

description: AZtec files for 'Large EBSD Dataset of Forged Ti64' - https://doi.org/10.5281/zenodo.5734898.
DOI: 10.5281/zenodo.5763650
title: AZtec files for 'Large EBSD Dataset of Forged Ti64' - https://doi.org/10.5281/zenodo.5734898

description: AZtec files for 'Large EBSD Dataset of Forged Ti64' - https://doi.org/10.5281/zenodo.5734898.
DOI: 10.5281/zenodo.5764026
title: Pareto front of the Bio-SOFC plant (Case 5) optimization

description: Datasets of the article "Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant". With a growing energy demand in a carbon-constrained society, fuels cells powered by renewable fuels, and specifically solid waste, are seen as interesting contributors to the energy portfolio. The alternative energy industry needs to reduce costs, enhance efficiency, and demonstrate durability and reliability to be economically feasible and attractive. This paper addresses biomass waste gasification in distributed energy systems, using a solid oxide fuel cell (SOFC) to produce electricity and heat. The potential and optimal plant efficiency and layout (i.e., anode off-gas (AOG) recirculation point <em>via</em> small-scale turbomachinery and heat exchanger network) are analyzed through a multi-stage approach that includes scenario evaluation and multi-objective optimization <em>via</em> a hybrid optimization strategy with heuristics and mathematical programming. The results in this paper summarize the most convenient operating conditions and provide an optimized heat exchanger network (HEN). The AOG recirculation toward the gasifier combustor is the preferred option; the electrical and thermal efficiencies can separately go up to 49 and 47%, respectively. The combined total efficiency ranges between 76 and 82%, and the area of heat exchange, which corresponds to an amount of heat exchanged between 91 and 117 kW, is within 6–14 m<sup>2</sup>.
DOI: 10.5281/zenodo.5764025
title: Pareto front of the Bio-SOFC plant (Case 5) optimization

description: Datasets of the article "Techno-Economic Optimization of an Integrated Biomass Waste Gasifier–Solid Oxide Fuel Cell Plant". With a growing energy demand in a carbon-constrained society, fuels cells powered by renewable fuels, and specifically solid waste, are seen as interesting contributors to the energy portfolio. The alternative energy industry needs to reduce costs, enhance efficiency, and demonstrate durability and reliability to be economically feasible and attractive. This paper addresses biomass waste gasification in distributed energy systems, using a solid oxide fuel cell (SOFC) to produce electricity and heat. The potential and optimal plant efficiency and layout (i.e., anode off-gas (AOG) recirculation point <em>via</em> small-scale turbomachinery and heat exchanger network) are analyzed through a multi-stage approach that includes scenario evaluation and multi-objective optimization <em>via</em> a hybrid optimization strategy with heuristics and mathematical programming. The results in this paper summarize the most convenient operating conditions and provide an optimized heat exchanger network (HEN). The AOG recirculation toward the gasifier combustor is the preferred option; the electrical and thermal efficiencies can separately go up to 49 and 47%, respectively. The combined total efficiency ranges between 76 and 82%, and the area of heat exchange, which corresponds to an amount of heat exchanged between 91 and 117 kW, is within 6–14 m<sup>2</sup>.
DOI: 10.5066/p9m7s70d
title: Assessing Nest Attentiveness of Common Terns (Sterna hirundo) via Video Cameras and Temperature Loggers

description: While nest attentiveness plays a critical role in the reproductive success of avian species, little is known regarding the nest attentiveness patterns of many species during incubation. However, improvements in both video monitoring and temperature logging devices present an opportunity to improve our understanding of this aspect of avian behavior. To evaluate the ability of these technologies to document fine scale behaviors during incubation we monitored 13 nests across two Common Tern (Sterna hirundo) breeding colonies with a paired video camera - temperature logger approach, while monitoring 63 additional nests with temperature loggers alone. We also monitored nests and recorded hatching success, allowing us to asses the impacts of these devices.
DOI: 10.5517/ccdc.csd.cc287zyg
title: CCDC 2093056: Experimental Crystal Structure Determination

description: Related Article: Nicola Margiotta, Concetta Pacifico, Teresa Saltarella, Giovanni Natile, Francesco P. Intini|2022|Inorg.Chim.Acta|530|120655|doi:10.1016/j.ica.2021.120655
DOI: 10.5517/ccdc.csd.cc287zzh
title: CCDC 2093057: Experimental Crystal Structure Determination

description: Related Article: Nicola Margiotta, Concetta Pacifico, Teresa Saltarella, Giovanni Natile, Francesco P. Intini|2022|Inorg.Chim.Acta|530|120655|doi:10.1016/j.ica.2021.120655
DOI: 10.5517/ccdc.csd.cc28d7rp
title: CCDC 2097142: Experimental Crystal Structure Determination

description: Related Article: M. Ranjani, P. Kalaivani, F. Dallemer, S. Selvakumar, T. Kalpana, R. Prabhakaran|2022|Inorg.Chim.Acta|530|120683|doi:10.1016/j.ica.2021.120683
DOI: 10.5517/ccdc.csd.cc287klp
title: CCDC 2092642: Experimental Crystal Structure Determination

description: Related Article: Wen-Peng Yang, Shi-Kun Jia, Tian-Tian Liu, Yuan-Zhao Hua, Min-Can Wang|2021|Org.Chem.Front.|8|6998|doi:10.1039/D1QO01338F
DOI: 10.5517/ccdc.csd.cc28drl1
title: CCDC 2097633: Experimental Crystal Structure Determination

description: Related Article: Wen-Peng Yang, Shi-Kun Jia, Tian-Tian Liu, Yuan-Zhao Hua, Min-Can Wang|2021|Org.Chem.Front.|8|6998|doi:10.1039/D1QO01338F
DOI: 10.5517/ccdc.csd.cc28dw2n
title: CCDC 2097741: Experimental Crystal Structure Determination

description: Related Article: Lidija Kanižaj, Krešimir Molčanov, Lidija Androš Dubraja, Teodoro Klaser, Marijana Jurić|2022|Polyhedron|211|115556|doi:10.1016/j.poly.2021.115556
DOI: 10.5517/ccdc.csd.cc28dw3p
title: CCDC 2097742: Experimental Crystal Structure Determination

description: Related Article: Lidija Kanižaj, Krešimir Molčanov, Lidija Androš Dubraja, Teodoro Klaser, Marijana Jurić|2022|Polyhedron|211|115556|doi:10.1016/j.poly.2021.115556
DOI: 10.5517/ccdc.csd.cc28dw4q
title: CCDC 2097743: Experimental Crystal Structure Determination

description: Related Article: Lidija Kanižaj, Krešimir Molčanov, Lidija Androš Dubraja, Teodoro Klaser, Marijana Jurić|2022|Polyhedron|211|115556|doi:10.1016/j.poly.2021.115556
DOI: 10.5517/ccdc.csd.cc28dt4n
title: CCDC 2097681: Experimental Crystal Structure Determination

description: Related Article: Wen-Peng Yang, Shi-Kun Jia, Tian-Tian Liu, Yuan-Zhao Hua, Min-Can Wang|2021|Org.Chem.Front.|8|6998|doi:10.1039/D1QO01338F
DOI: 10.5517/ccdc.csd.cc28g9wy
title: CCDC 2099130: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28g9xz
title: CCDC 2099131: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28g9y0
title: CCDC 2099132: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28g9z1
title: CCDC 2099133: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28gb14
title: CCDC 2099135: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28gb25
title: CCDC 2099136: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc27vc8r
title: CCDC 2080914: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28gmw8
title: CCDC 2099440: Experimental Crystal Structure Determination

description: Related Article: Lucinda R. B. Wilson, Marco Coletta, Reshma Jose, Gopalan Rajaraman, Scott J. Dalgarno, Euan K. Brechin|2021|Dalton Trans.|50|17566|doi:10.1039/D1DT03410C
DOI: 10.5517/ccdc.csd.cc28hhkv
title: CCDC 2100267: Experimental Crystal Structure Determination

description: Related Article: Carley Giffert L. Nongpiur, Mayur Mohan Ghate, Deepak Kumar Tripathi, Krishna Mohan Poluri, Werner Kaminsky, Mohan Rao Kollipara|2022|J.Organomet.Chem.|957|122148|doi:10.1016/j.jorganchem.2021.122148
DOI: 10.5517/ccdc.csd.cc28hhlw
title: CCDC 2100268: Experimental Crystal Structure Determination

description: Related Article: Carley Giffert L. Nongpiur, Mayur Mohan Ghate, Deepak Kumar Tripathi, Krishna Mohan Poluri, Werner Kaminsky, Mohan Rao Kollipara|2022|J.Organomet.Chem.|957|122148|doi:10.1016/j.jorganchem.2021.122148
DOI: 10.5517/ccdc.csd.cc28hhmx
title: CCDC 2100269: Experimental Crystal Structure Determination

description: Related Article: Carley Giffert L. Nongpiur, Mayur Mohan Ghate, Deepak Kumar Tripathi, Krishna Mohan Poluri, Werner Kaminsky, Mohan Rao Kollipara|2022|J.Organomet.Chem.|957|122148|doi:10.1016/j.jorganchem.2021.122148
DOI: 10.5517/ccdc.csd.cc28j10w
title: CCDC 2100777: Experimental Crystal Structure Determination

description: Related Article: Yuewei Wu, Jing Xi, Tongtong Xiao, Jesús Ferrando-Soria, Zhong-Wen Ouyang, Zhenxing Wang, Shuchang Luo, Xiangyu Liu, Emilio Pardo|2020|Inorg.Chem.Front.|8|5158|doi:10.1039/D1QI01208H
DOI: 10.25345/c5pp3r
title: MassIVE MSV000088539 - AAC_Protemics: CRO Sample DAP-R MRSA D712
title: DAP-R MRSA Strain D712 Ceftriaxone Pre-Conditioning from Proteome Discoverer
DOI: 10.25345/c5jp3h
title: MassIVE MSV000088540 - AAC_Protemics: CEC Sample DAP-R MRSA D712
title: DAP-R MRSA Strain D712 Cefaclor Pre-Conditioning from Proteome Discoverer