cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6509745
title: Soil thermal gradient at Solfatara during 2020-2021 (Campi Flegrei, south Italy)

description: The monitoring of energy fluxes associated with diffuse degassing may bean important tool in the surveillance of volcanic activity. In a purely conductive regime, the heat flux is a linear function of the soil thermal gradient with a slope proportional to the thermal conductivity of the medium. For that reason, soil temperatures were continuously measured during two years (2020 and 2021) within the crater of Solfatara using an automatic station. The station was equipped with a Gigalog mod.F data logger that acquires, at 1-hour time intervals, the soil temperature along a vertical profile at 0.1, 0.2, 0.3 and 0.4 m depth, The measurements, expressed in degrees centrigade, made with n.4 Resistance Temperature Detector "RTD" PT100 in platinum class B with a tolerance of ±0.3 °C at 0°C. The coordinates of the instrument are 33T 427461.48m E 4520150.14m N
DOI: 10.5281/zenodo.6509744
title: Soil thermal gradient at Solfatara during 2020-2021 (Campi Flegrei, south Italy)

description: The monitoring of energy fluxes associated with diffuse degassing may bean important tool in the surveillance of volcanic activity. In a purely conductive regime, the heat flux is a linear function of the soil thermal gradient with a slope proportional to the thermal conductivity of the medium. For that reason, soil temperatures were continuously measured during two years (2020 and 2021) within the crater of Solfatara using an automatic station. The station was equipped with a Gigalog mod.F data logger that acquires, at 1-hour time intervals, the soil temperature along a vertical profile at 0.1, 0.2, 0.3 and 0.4 m depth, The measurements, expressed in degrees centrigade, made with n.4 Resistance Temperature Detector "RTD" PT100 in platinum class B with a tolerance of ±0.3 °C at 0°C. The coordinates of the instrument are 33T 427461.48m E 4520150.14m N
DOI: 10.34740/kaggle/dsv/3588258
title: Tesla Fire
DOI: 10.6084/m9.figshare.19723447
title: Beyond color morphs_Data_Mould.xlsx

description: Dataset corresponding to results obtain in " Beyond morphs: inter-individual color variation despite strong genetic determinism of color morphs in a wild bird ", Mould and co-authors. Individuals are refered to band numbers, and morphs are listed as GRY (grey), BBH(brown) or INT (Intermediate). CAH3 is the morphs categories using cluster methods.
DOI: 10.6084/m9.figshare.19723447.v1
title: Beyond color morphs_Data_Mould.xlsx

description: Dataset corresponding to results obtain in " Beyond morphs: inter-individual color variation despite strong genetic determinism of color morphs in a wild bird ", Mould and co-authors. Individuals are refered to band numbers, and morphs are listed as GRY (grey), BBH(brown) or INT (Intermediate). CAH3 is the morphs categories using cluster methods.
DOI: 10.6084/m9.figshare.19376033
title: Does Large-scale Crustal Flow Shape the Eastern Margin of the Tibetan Plateau? Insights From Episodic Magmatism of Gongga-Zheduo Granitic Massif

description: This dataset contains analytical results of whole-rock major and trace elements, zircon U-Pb-Hf-O isotopic data, plagioclase Sr isotopic data, apatite Nd isotopic data, thermodynamic and trace element modeling parameters and results, and summarized formation ages in eastern Tibet.
DOI: 10.6084/m9.figshare.19376033.v1
title: Does Large-scale Crustal Flow Shape the Eastern Margin of Tibetan Plateau? Insights From Episodic Magmatism of Gongga-Zheduo Granitic Massif

description: This dataset contains analytical results of whole-rock major and trace elements, zircon U-Pb-Hf-O isotopic data, plagioclase Sr isotopic data, apatite Nd isotopic data, thermodynamic and trace element modeling parameters and results, and summarized formation ages in eastern Tibet.
DOI: 10.6084/m9.figshare.19093373.v1
title: The sedimentary record analysis of the Sanshui Basin: Implication for the Late Cretaceous Tectonic evolution in northern margin of South China Sea

description: major and trace elements of the Late Cretaceous sandstone from the Sanshui Basin and the detrital zircon ages reults
DOI: 10.25573/data.16826737.v1
title: (high-temp) No 4. Taxonomic: (16S rRNA/ITS) Output

description: <b>Output files from the No 4. Taxonomic Workflow</b> page of the SWELTR high-temp study. In this workflow we used the microeco package for taxonomic assessment. We first converted each phyloseq object into a microtable object using the file2meco package.<br><br><b>taxa_wf.rdata</b>: contains all variables and phyloseq objects from 16s rRNA and ITS ASV taxonomic assessment. To see the Objects, in R run <i>load("taxa_wf.rdata", verbose=TRUE)</i><br><br>Additional files:<br><br>For convenience, we also include individual phyloseq and microtable objects (collected in zip files).<br><br>I<b>TS (its_taxa_objects.zip):</b><br><b>its18_ps_work_me.rds</b>: microtable object for the FULL (unfiltered) ITS data.<br><b>its18_ps_filt_me.rds</b>: microtable object for the Arbitrary filtered ITS data.<br><b>its18_ps_perfect_me.rds</b>: microtable object for the PERfect ITS data.<br><b>its18_ps_pime_me.rds</b>: microtable object for the PIME ITS data.<br><br><b>16S rRNA (ssu_taxa_objects.zip):</b><br><b>ssu18_ps_work_me.rds</b>: microtable object for the FULL (unfiltered) 16S rRNA data.<br><b>ssu18_ps_filt_me.rds</b>: microtable object for the Arbitrary filtered 16S rRNA data.<br><b>ssu18_ps_perfect_me.rds</b>: microtable object for the PERfect 16S rRNA data.<br><b>ssu18_ps_pime_me.rds</b>: microtable object for the PIME 16S rRNA data.<br><br>For one of the 16S rRNA analyses we looked at family-level diversity of major bacterial phyla. For this analysis, we renamed NA ranks by the next highest named rank. For example, ASV13884 was unclassifed at family level, so the <i>NA</i> was replaced with the next highest named rank (in this case order). Therefore the family-level classification for this ASV was changed to <i>o_Polyangiales</i>. Doing this allowed us to include uncalssifed abundance in our analyses. We include the following phyloseq objects containing the modifed taxonomies. <br><br><b>ssu18_ps_work_clean.rds</b>: modified phyloseq object for the FULL (unfiltered) 16S rRNA data.<br><b>ssu18_ps_filt_clean.rds</b>: modified phyloseq object for the Arbitrary filtered 16S rRNA data.<br><b>ssu18_ps_perfect_clean.rds</b>: modified phyloseq object for the PERfect filtered 16S rRNA data.<br><b>ssu18_ps_pime_clean.rds</b>: modified phyloseq object for the PIME filtered 16S rRNA data.<br><br><br>Source code for the workflow can be found here:<br>https://github.com/sweltr/high-temp/blob/master/taxa.Rmd<br><br><br>
DOI: 10.25573/data.16826737
title: (high-temp) No 4. Taxonomic: (16S rRNA/ITS) Output

description: <b>Output files from the No 4. Taxonomic Workflow</b> page of the SWELTR high-temp study. In this workflow we used the microeco package for taxonomic assessment. We first converted each phyloseq object into a microtable object using the file2meco package.<br><br><b>taxa_wf.rdata</b>: contains all variables and phyloseq objects from 16s rRNA and ITS ASV taxonomic assessment. To see the Objects, in R run <i>load("taxa_wf.rdata", verbose=TRUE)</i><br><br>Additional files:<br><br>For convenience, we also include individual phyloseq and microtable objects (collected in zip files).<br><br>I<b>TS (its_taxa_objects.zip):</b><br><b>its18_ps_work_me.rds</b>: microtable object for the FULL (unfiltered) ITS data.<br><b>its18_ps_filt_me.rds</b>: microtable object for the Arbitrary filtered ITS data.<br><b>its18_ps_perfect_me.rds</b>: microtable object for the PERfect ITS data.<br><b>its18_ps_pime_me.rds</b>: microtable object for the PIME ITS data.<br><br><b>16S rRNA (ssu_taxa_objects.zip):</b><br><b>ssu18_ps_work_me.rds</b>: microtable object for the FULL (unfiltered) 16S rRNA data.<br><b>ssu18_ps_filt_me.rds</b>: microtable object for the Arbitrary filtered 16S rRNA data.<br><b>ssu18_ps_perfect_me.rds</b>: microtable object for the PERfect 16S rRNA data.<br><b>ssu18_ps_pime_me.rds</b>: microtable object for the PIME 16S rRNA data.<br><br>For one of the 16S rRNA analyses we looked at family-level diversity of major bacterial phyla. For this analysis, we renamed NA ranks by the next highest named rank. For example, ASV13884 was unclassifed at family level, so the <i>NA</i> was replaced with the next highest named rank (in this case order). Therefore the family-level classification for this ASV was changed to <i>o_Polyangiales</i>. Doing this allowed us to include uncalssifed abundance in our analyses. We include the following phyloseq objects containing the modifed taxonomies. <br><br><b>ssu18_ps_work_clean.rds</b>: modified phyloseq object for the FULL (unfiltered) 16S rRNA data.<br><b>ssu18_ps_filt_clean.rds</b>: modified phyloseq object for the Arbitrary filtered 16S rRNA data.<br><b>ssu18_ps_perfect_clean.rds</b>: modified phyloseq object for the PERfect filtered 16S rRNA data.<br><b>ssu18_ps_pime_clean.rds</b>: modified phyloseq object for the PIME filtered 16S rRNA data.<br><br><br>Source code for the workflow can be found here:<br>https://github.com/sweltr/high-temp/blob/master/taxa.Rmd<br><br><br>
DOI: 10.6084/m9.figshare.19093373.v2
title: The sedimentary record analysis of the Sanshui Basin: Implication for the Late Cretaceous tectonic evolution in the northern margin of South China Sea

description: clay mineral content, major and trace elements, and the detrital zircon ages reults of the Late Cretaceous sandstone from the Sanshui Basin
DOI: 10.6084/m9.figshare.19093373.v3
title: The sedimentary record analysis of the Sanshui Basin: Implication for the Late Cretaceous tectonic evolution in the northern margin of South China Sea

description: clay mineral content, major and trace elements, and the detrital zircon ages reults of the Late Cretaceous sandstone from the Sanshui Basin
DOI: 10.6084/m9.figshare.19093373.v4
title: The sedimentary record analysis of the Sanshui Basin: Implication for the Late Cretaceous tectonic evolution in the northern margin of South China Sea

description: clay mineral content, major and trace elements, and the detrital zircon ages reults of the Late Cretaceous sandstone from the Sanshui Basin
DOI: 10.5517/ccdc.csd.cc254l53
title: CCDC 2000404: Experimental Crystal Structure Determination

description: Related Article: Qi Liu, Chang'An Li, Binling Yao, Yunshu Cui, Yue Cheng, Yi‐Fei Deng, Zi‐Yi Chen, Yuan‐Zhu Zhang|2021|Eur.J.Inorg.Chem.|2021|1305|doi:10.1002/ejic.202100018
DOI: 10.5517/ccdc.csd.cc29lb19
title: CCDC 2132770: Experimental Crystal Structure Determination

description: Related Article: Jun Zhou, Tianrong Li, Qinzhen Li, Peisen Zheng, Sha Yang, Jinsong Chai, Manzhou Zhu|2022|Inorg.Chem.|61|6493|doi:10.1021/acs.inorgchem.2c00246
DOI: 10.6084/m9.figshare.19093373.v5
title: The sedimentary record analysis of the Sanshui Basin: Implication for the Late Cretaceous tectonic evolution in the northern margin of South China Sea

description: clay mineral content, major and trace elements, and the detrital zircon ages reults of the Late Cretaceous sandstone from the Sanshui Basin
DOI: 10.25345/c5zk55q9s
title: MassIVE MSV000089433 - Wound Coinfection Project- Test Run
title: Testing if bandage extraction causes ion suppression or excess noise in 6mix or fetal bovine serum
DOI: 10.5281/zenodo.6525136
title: Map of Tigray's mineral resources (north Ethiopia) - Canadian and other international mining licences

description: In Tigray, artisanal mining of gold in the low-lying areas with outcropping Precambrian rocks is one of the major off-farm income sources. The 17<sup>th</sup> C. Portuguese traveller Barradas had already mentioned gold production in Tembien. Rural youth seasonally migrate to inhospitable lowlands and gorges such as the largely uninhabited Weri’i River valley, to search for placer gold, washed out from weathered gold-containing quartz veins within the meta-sediments and meta-volcanics. In recent decades, large-scale gold exploration and mining of gold deposits has been carried out in various parts of Tigray by local (such as the Ezana Mining Development P.L.C.) and several foreign exploration companies particularly from Canada. Recently, The Ethiopia Cable exposed links between big Canadian mining interests and a renewed PR campaign (involving Canadian professor and lobbyist Ann Fitz-Gerald) to whitewash the Ethiopian and Eritrean governments. Earlier on, it had already been suggested that one of the reasons for the Canadian government being very late in officially addressing the atrocities in the ongoing Tigray war, might be related to the country’s mining interests in Tigray. Here we contextualise Tigray’s gold and base metal resources, and present a map of active and applied mineral exploration and mining licenses in Tigray. The largest exploration license areas are concessions of Canadian companies, followed by the U.S. and the United Kingdom.
DOI: 10.6084/m9.figshare.19599589
title: truthy_direct_properties.nt.bz2

description: Wikidata truthy direct properties
DOI: 10.7284/129743
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise MGL1804 using a Hawaii UHDAS instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129739
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1804 using a C&C C-Nav 2000 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129746
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1804 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129741
title: Gravimeter data collected during research cruise MGL1804 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129737
title: Gyrocompass data collected during research cruise MGL1804 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129733
title: INS (Inertial Navigation System) data collected during research cruise MGL1804 using a Kongsberg Seapath 200 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129742
title: INS (Inertial Navigation System) data collected during research cruise MGL1804 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129725
title: Multibeam Echosounder data collected during research cruise MGL1804 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129745
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise MGL1804 using a LDEO pCO2 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129734
title: Singlebeam Echosounder data collected during research cruise MGL1804 using a Knudsen 3260 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129732
title: Speedlog data collected during research cruise MGL1804 using a Furuno DS-50 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129736
title: TSG (Thermosalinograph) data collected during research cruise MGL1804 using a Sea-Bird SBE-21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.6525192
title: Genome graphs detect human polymorphisms in active epigenomic states during influenza infection: code and processed data

description: Manuscript, figure, and analysis code and processed data for the Groza et al (2022) preprint.
DOI: 10.5281/zenodo.5534715
title: Genome graphs detect human polymorphisms in active epigenomic states during influenza infection: code and processed data

description: Manuscript, figure, and analysis code and processed data for the Groza et al (2022) preprint.
DOI: 10.25919/3j7a-rk69
title: Parkes observations for project P1153 semester 2022APRS_02

description: The ThunderKAT and MeerTRAP teams at the MeerKAT radio telescope have discovered a slow, pulsating radio source in the image and time domain data. We estimate a best fit period P = 75.88 s and period derivative Pdot = 2.9 x 10^-13 s/s. The source is seen to lie in the P-Pdot pulsar parameter phase space "death valley" where radio emission from neutron stars is not expected according to models in the literature. Single pulse analysis of MeerKAT data in the L- and UHF-bands reveals remarkable and unusual spectro-temporal properties, quite unlike anything seen in known radio neutron stars, with some pulses showing quasi-periodic sub-pulse components. We request 9 hours in the April 2022 semester to utilise the excellent ultra wide-band sensitivity of Parkes to study the pulse shape evolution and spectro-tempo-polarimetric properties of the source, probe the broadband nature and evolution of the sub-pulse components, and investigate any radius-to-frequency mapping, allowing us to characterise and/or distinguish it from other types of known neutron stars.
DOI: 10.5517/ccdc.csd.cc28l052
title: CCDC 2102673: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l063
title: CCDC 2102674: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l074
title: CCDC 2102675: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l085
title: CCDC 2102676: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l096
title: CCDC 2102677: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l0b7
title: CCDC 2102678: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l0c8
title: CCDC 2102679: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l0d9
title: CCDC 2102680: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28l0fb
title: CCDC 2102681: Experimental Crystal Structure Determination

description: Related Article: Ryan T. McGuire, Travis Lundrigan, Joshua W. M. MacMillan, Katherine N. Robertson, Arun A. Yadav, Mark Stradiotto|2022|Angew.Chem.,Int.Ed.|61|e202200352|doi:10.1002/anie.202200352
DOI: 10.5517/ccdc.csd.cc28pkcx
title: CCDC 2106089: Experimental Crystal Structure Determination

description: Related Article: Yan-Bo Li, Hu Tian, Shuai Zhang, Jun-Zhao Xiao, Liang Yin|2022|Angew.Chem.,Int.Ed.|61|e202117760|doi:10.1002/anie.202117760
DOI: 10.5517/ccdc.csd.cc237x4f
title: CCDC 1944014: Experimental Crystal Structure Determination

description: Related Article: Jindong Ren, Matthias Freitag, Yuxiang Gao, Peter Bellotti, Mowpriya Das, Bertram Schulze Lammers, Harry Mönig, Yuyang Zhang, Constantin G. Daniliuc, Shixuan Du, Harald Fuchs, Frank Glorius|2022|Angew.Chem.,Int.Ed.|61|e202115104|doi:10.1002/anie.202115104
DOI: 10.5517/ccdc.csd.cc28m1kj
title: CCDC 2103677: Experimental Crystal Structure Determination

description: Related Article: Qinhui Song, Yisi Yang, Furong Yuan, Shiyuan Zhu, Jiaqi Wang, Shengchang Xiang, Zhangjing Zhang|2022|J.Mater.Chem.A|10|9363|doi:10.1039/D1TA10569H
DOI: 10.5517/ccdc.csd.cc28m1lk
title: CCDC 2103678: Experimental Crystal Structure Determination

description: Related Article: Qinhui Song, Yisi Yang, Furong Yuan, Shiyuan Zhu, Jiaqi Wang, Shengchang Xiang, Zhangjing Zhang|2022|J.Mater.Chem.A|10|9363|doi:10.1039/D1TA10569H
DOI: 10.5517/ccdc.csd.cc29c5xs
title: CCDC 2125915: Experimental Crystal Structure Determination

description: Related Article: Heiko Ruppert, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202116615|doi:10.1002/anie.202116615
DOI: 10.5517/ccdc.csd.cc29c5yt
title: CCDC 2125916: Experimental Crystal Structure Determination

description: Related Article: Heiko Ruppert, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202116615|doi:10.1002/anie.202116615
DOI: 10.5517/ccdc.csd.cc29c5zv
title: CCDC 2125917: Experimental Crystal Structure Determination

description: Related Article: Heiko Ruppert, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202116615|doi:10.1002/anie.202116615
DOI: 10.5517/ccdc.csd.cc29c60x
title: CCDC 2125918: Experimental Crystal Structure Determination

description: Related Article: Heiko Ruppert, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202116615|doi:10.1002/anie.202116615
DOI: 10.5517/ccdc.csd.cc29c61y
title: CCDC 2125919: Experimental Crystal Structure Determination

description: Related Article: Heiko Ruppert, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202116615|doi:10.1002/anie.202116615
DOI: 10.5517/ccdc.csd.cc29c62z
title: CCDC 2125920: Experimental Crystal Structure Determination

description: Related Article: Heiko Ruppert, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202116615|doi:10.1002/anie.202116615
DOI: 10.6084/m9.figshare.19723630
title: supplementalMicroarraydata.xlsx

description: DNA microarray analysis used for volcano plots of a two-component system that regulates Listeria monocytogenes PrsA1 and PrsA2
DOI: 10.6084/m9.figshare.19723630.v1
title: supplementalMicroarraydata.xlsx

description: DNA microarray analysis used for volcano plots of a two-component system that regulates Listeria monocytogenes PrsA1 and PrsA2
DOI: 10.5281/zenodo.6525335
title: Bacteriophage genomes that potentially infect PDAC-associated species

description: 58 bacteriophage genomes that were predicted to infect PDAC-associated species.
DOI: 10.5281/zenodo.6525334
title: Bacteriophage genomes that potentially infect PDAC-associated species

description: 58 bacteriophage genomes that were predicted to infect PDAC-associated species.
DOI: 10.5281/zenodo.6500469
title: Metagenome-assembled genomes obtained from fecal and salivary microbiomes of pancreatic cancer patients and controls

description: 7,546 MAGs obtained from fecal and salivary metagenomes of pancreatic cancer patients and controls