Find research datasets worth reusing

Fig. 2 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria

Fig. 2. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the orders Corynebacteriales, Frankiales and Micromonosporales in the class Actinobacteria. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.

Fig. 4 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria

Fig. 4. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the orders Propionibacteriales, Pseudonocardiales, Streptomycetales and Streptosporangiales in the class Actinobacteria. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.

Fig. 1 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria

Fig. 1. Transmission electron micrographs or scanning electron micrographs of cells of the strains isolated in this study. Strains: 1, IMCC 12370; 2, WL1; 3, WS80; 4, MN13; 5, NU 4Y-9-1; 6, YB.Ce-3; 7, WM99; 8, BS8; 9, 61DPR39; 10, Ho-02; 11, RMD 3Y-15-4; 12, HMF2762; 13, NK 4Y-9-3; 14, WW28; 15, EgT0207; 16, KHS04; 17, NK 6Y-6-4; 18, NS 4Y-8-4; 19, 145-10; 20, AX5; 21, NGS 3Y-15-2; 22, R1-6; 23, N1-9; 24, RK 4Y-2-4; 25, RS 4Y-2-4; 26, RMD 3Y-3-1; 27, NU 4Y-9-4; 28, BBT1; 29, BS22; 30, I1-6; 31, T1-6; 32, 7C-18; 33, WM35; 34, BS10.

opencc-by-4.0Feb 2016View details →

Fig. 2 in Report on 31 unrecorded bacterial species in Korea that belong to the phylum Actinobacteria

Fig. 2. Neighborjoining phylogenetic tree based on 16S rRNA gene sequences, showing the relationship between the strains isolated in this study and their relatives of the phylum Actinobacteria. The numbers at nodes represent bootstrap values (>50%) obtained by neighborjoining and maximumlikelihood methods, respectively. Closed circles indicate the nodes recovered by maximumlikelihood algorithm. The GenBank accession number of each species is enclosed in parentheses. Bar, 0.02 substitutions per nucleotide position.

Fig. 3 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria

Fig. 3. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the order Micrococcales in the class Actinobacteria. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.

opencc-by-4.0Feb 2019View details →

Fig. 3 in A report of unrecorded bacterial species of Korea isolated in 2016, belonging to the family Deinococcaceae and Planctomycetaceae

Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the genus Blastopirellula. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.02 substitutions per nucleotide position.

Fig. 5 in A report of 34 unrecorded bacterial species in Korea, belonging to the Actinobacteria

Fig. 5. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships between the strains isolated in this study and their relatives of the order Solirubrobacterales in the class Thermoleophilia. Bootstrap values (>70%) are shown at the branching points. Asterisks indicate that the corresponding branches were also recovered in both the maximum-likelihood and maximum-parsimony trees. Bar, 0.02 substitutions per nucleotide position.

Training Data for "Creating Quality FAIR assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS"

Training Data for "Training Data for "Creating Quality FAIR assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS""

The Pollution from Obsolete Issue Report: An Empirical Study

The Pollution from Obsolete Issue Report: An Empirical Study Project summary In software development, programmers use issue trackers to manage their maintenance issues and record valuable maintenance details in issue reports. Based on these issue reports, programmers have enhanced code comprehension and researchers have mined knowledge from issue reports to assist various programming tasks. Although issue reports are useful, some of them can be obsolete, in that their corresponding commits are overwritten or rolled back, with the evolution of software. The obsolete issue reports can invalidate their references and descriptions, and can have far-reaching impacts on the approaches built on them. To deepen the understanding of obsolete issue reports, we conducted the first empirical study to analyze obsolete issue reports. We consider that an issue report is obsolete if its revisions are partially or totally removed in later commits. To measure how an issue report becomes obsolete, we define an obsolete ratio of an issue report as its deleted lines over all its modified lines. In this paper, we build a tool, ICLINKER, to inspect the obsolete issue reports and calculate the obsolete ratios. With ICLINKER, we analyze 70,180 commits and 46,257 issue reports that are collected from five Apache projects. Taking them as our inputs, we explore four research questions, which concern the distributions, the references, and the explanations of obsolete issue reports. Our findings on these research questions enrich the knowledge of obsolete issue reports, and some are even counterintuitive. For example, we find that obsolete issue reports are mixed with other issue reports. As another example, we find that only a small portion of issue reports are mentioned in code comments, but about half of them are obsolete. Based on our results, we analyze some directions that are worthy of exploration. Our identified obsolete ratios We identified the obsolete ratios of the issue reports from five projects. Their obsolete ratios are as follows: calcite.txt, cassandra.txt, derby.txt, hbase.txt, and hive.txt. Our Dataset Our dataset is stored in the data folder.

Dataset corresponding to the « Reasons for concern » about climate change impacts from all IPCC reports (TAR to AR6)

This data corresponds to all the "burning embers" diagrams for the "Reasons for Concern" published in IPCC reports (and the related paper Smith et al. 2009 for AR4) until AR6 (thus including TAR, AR4, AR5, SR1.5 and AR6). For TAR to SR1.5, the data is the result of extracting information from the original figures, as presented in the related technical document <a href="https://doi.org/10.5281/zenodo.3992856">10.5281/zenodo.3992856</a>. As also explained in the Supplementary Information of Zommers et al. (2020), the data does not come directly from the IPCC, although it is based on the assessment provided in the IPCC reports listed in the references. For IPCC AR6, the source is the supplementary material of chapter 16. Details regarding specific values provided in the dataset are explained alongside the values in the main file: "RFCs-ALL-2023_05_12.xlsx".  The main file includes the parameters needed to produce a diagram that supplements figure 3 from Zommers et al. (2020) with AR6 data and the confidence levels from previous reports when available. The Excel files in RFCs-2023-UsageExamples.zip contain the same data with different parameters, so that uploading these files to the Ember Factory (<a href="https://climrisk.org/emberfactory">https://climrisk.org/emberfactory</a>) produces different figures - including a comparison between AR5 and AR6 (as in IPCC AR6 Synthesis Report, but with AR5 confidence levels included). The resulting diagrams are also provided.

Research Report

*a partnership between <a href="https://www.institutprvikorak.hr/">Institut Prvi Korak</a> and <a href="https://tcdtransport.com/">TCD Transport Direct</a> made possible by <a href="https://www.erasmusplus.ro/">Erasmus+</a> . *our market research efforts, made possible by <a href="https://izidata.ro/">iZi Data</a>.

Interactive recommendations and action list for technical report from the UKRI Net Zero DRI Scoping Project

The UKRI Net Zero DRI Scoping Project produced evidence-based recommendations. This dataset provides an interactive way to list all of the recommendations and actions from the project. These files have been provided to show the mapping and links between the specific recommendations and the different strategic themes and roadmap actions proposed by the project.  Three file formats have been provided for ease of use: Excel, PDF, CSV. The recommendations, if opened in a spreadsheet, can be sorted or filtered based on a range of interest areas e.g. type of evidence, delivery pathway, strategic theme, delivery year.  There are two tabs in the spreadsheet. The first tab shows the recommendations discussed in the 'toolkit' section of the project's final technical report. The second tab shows actions discussed in the 'roadmap' section of the report. For full details about the evidence that underpins these recommendations, please see technical report found here: <a href="https://doi.org/10.5281/zenodo.8199984">https://doi.org/10.5281/zenodo.8199984</a>  The authors cited here are those who produced the files uploaded. Many other contributors are named in the technical report and is a synthesis of their work. Please also cite the technical report if you use this dataset.

Supplementary Material to "Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings"

Hereby we provide supplementary material to the submitted paper "Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings". Two Excel spreadsheets have been provided containing the ESRS PoC XBRL taxonomy representation and a sample report of a tagged integrated annual report. The research is expected to be presented at the 1st Conference on Sustainability at Széchenyi István University, Hungary, October 10-12, 2023. This framework leverages an examination of the existing taxonomy of ESRS to provide readers with insight into the essential glossary of disclosures and metrics considered critical by official regulatory sources. During the analysis, all XBRL data was retrieved from public sources and processed in the programming environment currently under development by the Széchenyi István University research team.

opencc-by-4.0Mar 2023View details →

Figure 2 in Multiple colors in anteaters: review and description of chromatic disorders in Tamandua (Xenarthra: Pilosa) with reports of new and rare coat colorations

Figure 2. Record of the two erythristic individuals in the same tree and without agonistic behavior. (A) individual 1 climbing the tree, (B, C) individuals 1 and 2 seeing each other, (D, E) individual 1 and 2 moving towards each other (photographs taken by Canopy Family staff).

opencc-by-4.0Mar 2023View details →

Figure 3 in Multiple colors in anteaters: review and description of chromatic disorders in Tamandua (Xenarthra: Pilosa) with reports of new and rare coat colorations

Figure 3. Distribution of chromatic disorders in Tamandua in Central and South America. (A) record locations of all chromatic disorders, (B) albinism and leucism, (C) xanthochromism and partial xanthochromism, (D) melanism, partial melanism, "brown" and partial "brown", (E) erythrism.

opencc-by-4.0Mar 2023View details →

Figure 1 in Multiple colors in anteaters: review and description of chromatic disorders in Tamandua (Xenarthra: Pilosa) with reports of new and rare coat colorations

Figure 1. Chromatic disorders in Tamandua: (A) Melanism (by javatru), (B) Partial melanism (by shrike2), (C) Xanthochromism (by pfaucher), (D) Partial xanthochromism (by kenchamberlain), (E) "Brown" variation (by chartuso), (F) Leucism (More et al. 2021), (G) Albinism (Ríos et al. 2019), (H) Erythrism (by Slifkin). A–F originally published on iNaturalist.

IODP Expedition 382 Gas safety report

This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C1/C2�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).

IODP Expedition 382 Carbonates composite report

This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.

IODP Expedition 382 Sample report

Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.

IODP Expedition 382 Interstitial water composite report

This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.