cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3367104
title: BCdatabaser - coi.entomobryidae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Entomobryidae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3367405
title: CrIS North America NH3 Retrievals

description: CrIS North America NH3 Retrievals
DOI: 10.5519/qd.6ckrfdgb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/543crjk9f6.1
title: Data for: Metrics of Open Government in Mexican Fisheries

description: This data was developed to measure the different dimensions of transparency and citizen participation in fisheries institutions of the Mexican state. The data correspond to an evaluation to the National Commission of Fisheries and Aquaculture in the years 2015 and 2017 and to the Fisheries and Aquaculture Councils in 2017.
DOI: 10.5281/zenodo.3367106
title: BCdatabaser - coi.isotomidae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Isotomidae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3367105
title: BCdatabaser - coi.isotomidae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Isotomidae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3367111
title: BCdatabaser - coi.onychiuridae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Onychiuridae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3367112
title: BCdatabaser - coi.onychiuridae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Onychiuridae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.14272/jqqmhnzhwibstf-rsvdosdisa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA): m/z (%) = 941 (20), 940 (54), 939 (100) [M + H]+ , 938 (88) [M]+ .
DOI: 10.17632/4sp5x6h8rf.1
title: Data for: Dominant plant species influence nematode richness by moderating understory diversity and microbial assemblages
DOI: 10.17632/gsg4pw6scw.1
title: Data for: Dominant plant species influence nematode richness by moderating understory diversity and microbial assemblages
DOI: 10.14272/jqqmhnzhwibstf-rsvdosdisa-n.1
title: C56H50N4O10
title: InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-

description: This dataset contains experimental data from a sample (InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS) mass spectrometry (MS)
DOI: 10.14272/jqqmhnzhwibstf-rsvdosdisa-n/chmo0000470.1
title: mass spectrometry (MS) ()
title: InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-

description: dataset for mass spectrometry (MS) HRMS (C56H51O10N4) = calculated: 939.3605, found: 939.3607.
DOI: 10.14272/jqqmhnzhwibstf-rsvdosdisa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 8.99 (d, J = 4.8 Hz, 4H, Hporph), 8.82 (d, J = 4.8 Hz, 4H, Hporph), 8.47 (d, J = 8.2 Hz, 4H, HAr), 8.31 (d, J = 8.2 Hz, 4H, HAr), 7.48 (s, 4H, HAr), 4.60 (q, J = 7.1 Hz, 4H, CH2CH3), 4.19 (s, 6H, OCH3), 3.98 (s, 12H, OCH3), 1.57 (t, J = 7.2 Hz, 6H, CH2CH3), -2.08 (s, 2H, NH).
DOI: 10.14272/jqqmhnzhwibstf-rsvdosdisa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 14.7, 56.5, 61.5, 61.5, 113.0, 119.3, 120.5, 128.1, 130.2, 134.6, 137.5, 138.0, 146.8, 151.6, 166.9, (residual 41 Cs distributed on listed signals).
DOI: 10.14272/jqqmhnzhwibstf-rsvdosdisa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C56H50N4O10/c1-9-69-55(61)33-15-11-31(12-16-33)49-37-19-23-41(57-37)51(35-27-45(63-3)53(67-7)46(28-35)64-4)43-25-21-39(59-43)50(32-13-17-34(18-14-32)56(62)70-10-2)40-22-26-44(60-40)52(42-24-20-38(49)58-42)36-29-47(65-5)54(68-8)48(30-36)66-6/h11-30,57,60H,9-10H2,1-8H3/b49-37-,49-38-,50-39-,50-40-,51-41-,51-43-,52-42-,52-44-

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2929, 1713, 1605, 1577, 1494, 1462, 1448, 1431, 1402, 1354, 1324, 1268, 1232, 1177, 1123, 1096, 1058, 1020, 1003, 984, 972, 925, 868, 850, 796, 762, 730, 722, 701, 663, 633 cm–1.
DOI: 10.7910/dvn/3iqwnj/kz3hec
title: SMOG_IRAC_MIPS1_photometry.fits

description: SMOG archive combined with the MIPS 24um photometry.
DOI: 10.7910/dvn/zeuj7d/8p7k28
title: SMOG_mosaic_I1.fits

description: :unav
DOI: 10.7910/dvn/zeuj7d/uhsnxd
title: SMOG_mosaic_I2.fits

description: :unav
DOI: 10.21227/169t-3m93
title: The USyd Campus Dataset

description: Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios. For certain applications, autonomous vehicles in particular, algorithm failures can lead to potentially catastrophic consequences. To minimise this risk, it is essential to evaluate the robustness and reliability of algorithms before deploying them in real life applications. This paper presents a long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. The USyd Campus Dataset has been designed to aid in the development, validation and testing of algorithm robustness under a wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. The dataset also includes a semantic segmentation dataset with different illumination conditions and camera perspectives, and a ‘Road’ class image dataset which is automatically generated using lidar. To facilitate the dataset use by researchers and practitioners, we also provide a set of development tools for the analysis and visualisation of the dataset.
DOI: 10.25345/c5n072
title: MassIVE MSV000084202 - MassIVE Dataset Submission - Alnus species
title: LC-MS/MS data used in a work titled "Assessing Specialized Metabolite Diversity of Alnus species by Digitized LC_MS/MS Data Analysis Workflow". Negative ion mode DDA data from 15 extracts of 4 Alnus species (barks, twigs, leaves, and fruits)
DOI: 10.7910/dvn/43dawu/jrtrmc
title: Codebook_trends data.xls

description: :unav
DOI: 10.7910/dvn/43dawu/kd4xvy
title: Trendsdata.xls

description: :unav
DOI: 10.7910/dvn/zeuj7d/07zhvq
title: SMOG_mosaic_M1.fits

description: :unav
DOI: 10.7910/dvn/zeuj7d/b3wfzh
title: SMOG_mosaic_I4.fits

description: :unav
DOI: 10.7910/dvn/zeuj7d/fokgz9
title: SMOG_mosaic_I3.fits

description: :unav
DOI: 10.7910/dvn/zeuj7d/hq2lrw
title: SMOG_mosaic_I2_reduce5.fits

description: Reduced resolution IRAC 4.5um mosaic
DOI: 10.7910/dvn/zeuj7d/kgmwos
title: SMOG_mosaic_I3_reduce5.fits

description: Reduced resolution IRAC 5.8um mosaic
DOI: 10.7910/dvn/zeuj7d/r2vmj7
title: SMOG_mosaic_I4_reduce5.fits

description: Reduced resolution IRAC 8.0um mosaic
DOI: 10.7910/dvn/zeuj7d/wop2sv
title: SMOG_mosaic_I1_reduce5.fits

description: Reduced resolution IRAC 3.6um mosaic
DOI: 10.17632/6whk24xgtm.1
title: Data for: Identification of New Dual FABP4/5 Inhibitors Based on a Naphthalene-1-sulfonamide FABP4 Inhibitor

description: Supplementary Material
DOI: 10.18739/a2j09w441
title: A radiocarbon comparison of two methods for measuring ecosystem carbon cycling: respired CO2 and phospholipid fatty acids in Arctic tussock and shrub soils, Alaska, 2015

description: Ecosystems modulate the amount of carbon (C) that is stored and recycled. With increasing temperatures, especially in the Arctic, it is expected that more carbon will be respired than accumulated in soils. Typically, soil carbon losses are quantified by the amount of carbon dioxide (CO 2 ) that leaves the system. The proportion of microbial- vs. plant-respired CO 2 , together with the age of the microbially-decomposing C, can be assessed by determining the radiocarbon (14C) content of the respired CO 2 . Recently, a new method has been developed to study microbial C flows: compound specific 14C measurements of microbial lipids, phospholipid fatty acids (PLFA). Both approaches have been used to study environmental processes, but to date these two methods have not been compared directly on Arctic samples. Here, we collected active layer Arctic soil cores underlying shrub or graminoid tussock tundra (n=3/site). After a short pre-incubation to thaw the cores, subsectioned cores were incubated for up to one month. Post incubation, the quantity and 14C content of respired CO 2 and soil PLFAs were determined. From the litter layer to the deep mineral soils in both cores (n=16 samples), the isotopic composition of the CO 2 and PLFAs were the statistically identical even though the respired ∆14CO 2 ranged by more than 350‰. In addition, the magnitude of the respired CO 2 and PLFA quantity were correlated. However, soils from the different vegetation types had different rates of respiration and PLFA concentrations. This work shows that 14C measurements of both microbial respiration and PLFAs provide comparable results.
DOI: 10.18739/a2ns0kx7h
title: Arctic soil microbes are not consuming ancient soil carbon: Implications for depositional environments, Canada, 2011

description: Vast quantities of Arctic soil carbon may become susceptible to microbial degradation due to thawing of ancient permafrost. Given that estimates of the vulnerability of Arctic soil carbon are highly variability, an enduring question is how much of the 1500 petagram Arctic soil carbon pool may be consumed by soil microbes and thus released as a positive feedback to climatic warming. Here we provide evidence that microbes inhabiting ancient high Arctic soils are not consuming soil organic carbon and therefore only a small portion of the soil carbon may be labile. Using radiocarbon, we measured the composition of the soil carbon and compared this to the carbon being used by the viable microbial community. High Arctic soils were found to overall contain old carbon, however the dominant carbon sources to the microbial community were modern carbon sources. Chemical fractionation of the soil organic carbon illustrated that the soils were highly isotopically heterogeneous and only a small portion of the soil contained young or actively cycling carbon. We propose that soil organic carbon pools in these ancient high Arctic soils are composed of pre-aged carbon that is not susceptible to microbial degradation and that microbes are instead utilizing carbon recently fixed by surface plants.. Although more extensive sampling is required to verify whether this process is widespread in other Arctic and non-Arctic terrestrial depositional environments, our results provide new understanding of the carbon cycling in depositional soils and open the possibility that geologic inputs of carbon may sequester carbon rather than returning it to the atmosphere.
DOI: 10.7910/dvn/ja7wh6/2t2vcm
title: deriveaddYearSpecificSpillover4.m

description: :unav
DOI: 10.7910/dvn/ja7wh6/ilmdff
title: ParticipationWithSpillover_addEstiProb.mat

description: :unav
DOI: 10.7910/dvn/ja7wh6/ohnv0p
title: ReviseEstimateProbab3.m

description: :unav
DOI: 10.7910/dvn/ja7wh6/rg0cw7
title: deriveProgramEffect5.m

description: :unav
DOI: 10.7910/dvn/ja7wh6/wpiro8
title: readme.txt

description: :unav
DOI: 10.18739/a2d795b08
title: Geochemical composition and n-alkane abundance in North Slope Arctic soils, Alaska, 2014

description: Arctic soils contain a large amount of carbon due to low temperatures causing minimal degradation of organic compounds. As temperatures rise, the frozen soil thaws allowing increased microbial activity. Analysis of plant leaf waxes (alkane) concentrations in the Alaska region provide insight into the carbon accumulated in the soil and the degradation processes that are occurring. In this study we examined the concentration and distribution of alkanes along a north-south transect from the Arctic Ocean to the Brooks Range along with other geochemical parameters. We found that while there were no significant differences in surface alkane composition, there were site specific variations with depth, which may be due a combination of different carbon inputs and degradation processes.
DOI: 10.25345/c5ch37
title: MassIVE MSV000084204 - Yung_npj_Biofilms_Microbiome_2019_ProteomicsData
title: Comparison of Pseudomonas aeruginosa planktonic cultures and bacterial biofilms grown under variations in growth media to demonstrate carbon catabolite repression phenomena using bottom-up proteomics
DOI: 10.7910/dvn/ja7wh6/6uemhj
title: code_zhouetal_2019.do

description: :unav
DOI: 10.7910/dvn/ja7wh6/air3fn
title: addSpilloverVariable_modified2.tab

description: :unav
DOI: 10.7910/dvn/ja7wh6/e6pdbs
title: addYearSpecificSpillover4.tab

description: :unav
DOI: 10.7910/dvn/ja7wh6/kfi7ct
title: deriveReductionPercentage6_2.m

description: :unav
DOI: 10.21227/kr5e-bd82
title: SQLR: Short Term Memory Q-Learning for Elastic Provisioning

description: Service times for the scaling schemes compared in this paper with the administrative switching overheads averaged out
DOI: 10.21227/ktz6-wx96
title: SQLR: Short Term Memory Q-Learning for Elastic Provisioning

description: Service times for the scaling schemes compared in this paper with the administrative switching overheads averaged out
DOI: 10.15784/601199
title: Yoyo camera survey transects, King George Island and Bransfield Strait

description: The dataset provides metadata for towed yoyo camera survey transects conducted in Maxwell Bay, Marion Cove (King George Island) and the Bransfield Strait. Starting and ending positions, ship headings, bottom depth and number of photographs collected are provided. In all photographs, lasers are 10 cm apart for scale. Data were collected aboard the Korean Polar Research Institute icebreaker Araon.
DOI: 10.17632/cftms47tmg.1
title: Data for: Contrasting Hurricane Ike Washover Sedimentation and Hurricane Harvey Flood Sedimentation in a Southeastern Texas Coastal Marsh.

description: Photographs of cores and monoliths collected for this study. Excel files for LOI and sand content analysis.
DOI: 10.5286/isis.e.rb1720120-3
title: Looking for the elusive alpha tin phase

description: The characteristics of metal alloys have always been considered crucial for the sound quality of organ pipes. Tin-rich materials were studied for conservation issues, like the so-called tin pest -a consequence of a tin crystal structure change. Tin pest is indeed an allotropic transformation of tin, from beta-phase (tetragonal structure) to alpha-phase (diamond-cubic structure). This phase transformation, spontaneous below 13.2 °C, is strongly accelerated by lower temperatures. Recently, we studied a wide set of tin-based pipe fragments but no alpha-phase was found. We thus propose to study a real and different commercial specimens, as a function of the temperature, after 24 hours at -50°C. Our measurements want to infer information on the degradation process, in order to make an assessment of neutron techniques as a diagnostic tool the conservation of organ pipes.
DOI: 10.7910/dvn/xc4e1i/7hjzfk
title: replication_paper.r

description: :unav
DOI: 10.7910/dvn/xc4e1i/e84l7b
title: data.tab

description: :unav
DOI: 10.7910/dvn/xc4e1i/epnfgu
title: tj_data_panel.tab

description: :unav
DOI: 10.7910/dvn/xc4e1i/fe46od
title: data_explanation.pdf

description: :unav
DOI: 10.7910/dvn/xc4e1i/kkbb6d
title: codebook_data.pdf

description: :unav
DOI: 10.7910/dvn/xc4e1i/xwmduz
title: codebook_tj_data_panel.pdf

description: :unav
DOI: 10.7910/dvn/xc4e1i/zhajup
title: replication_appendix.r

description: :unav
DOI: 10.7910/dvn/hmi4wy/3trh2e
title: 4f3d9f11-dadc-4c13-aa41-05142ae616d9_Data.tab

description: :unav
DOI: 10.7910/dvn/kovt5y/czh57j
title: wp_data_raw.csv

description: :unav
DOI: 10.7910/dvn/kovt5y/lczzvh
title: Replication materials outline.pdf

description: :unav