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1,048 results for “interpreting”
APPENDIX 7 in Quantifying and interpreting nestedness of bryophytes in the Zhoushan Archipelago, China
APPENDIX 7. — Continuation.
Supplementary materials to the article "Practices and attitudes toward replication in empirical translation and interpreting studies"
<p><strong>Abstract of the paper:</strong></p> <p>This article presents the results of three studies on practices in and attitudes toward replication in empirical translation and interpreting studies. The first study reports on a survey in which 52 researchers in translation and interpreting with experience in empirical research answered questions about their practices in and attitudes toward replication. The survey data were complemented by a bibliometric study of publications indexed in the Bibliography of Interpreting and Translation (BITRA) (Franco Aixelá 2001–2019) that explicitly stated in the title or abstract that they were derived from a replication. In a second bibliometric study, a conceptual replication of Yeung’s (2017) study on the acceptance of replications in neuroscience journals was conducted by analyzing 131 translation and interpreting journals. The article aims to provide evidence-based arguments for initiating a debate about the need for replication in empirical translation and interpreting studies and its implications for the development of the discipline.</p> <p><strong>Description of the supplementary materials:</strong></p> <ul> <li>Material 1: questionnaire in English</li> <li>Material 2: questionnaire in Spanish</li> <li>Material 3: results of both questionnaires</li> <li>Material 4: corpus of identified replications in Translation and Interpreting Studies (TIS)</li> <li>Material 5: acceptance of replications in TIS journals</li> </ul>
State of Nature layers for Water Availability and Water Pollution to support SBTN Step 1: Assess and Step 2: Interpret & Prioritize
<p>There are multiple well-recognized and peer-reviewed global datasets that can be used to assess water availability and water pollution. Each of these datasets are based on different inputs, modeling approaches, assumptions, and limitations. Therefore, in SBTN Step 1: Assess and Step 2: Interpret & Prioritize, companies are required to consult different global datasets for a robust and comprehensive State of Nature (SoN) assessment for water availability and water pollution. </p> <p>To streamline this process, WWF, the World Resources Institute (WRI), and SBTN worked together to develop two ready-to-use unified layers of SoN – one for water availability and one for water pollution – in line with the <a href="https://sciencebasedtargetsnetwork.org/resources/" target="_blank" rel="noopener">Technical Guidance for Steps 1: Assess and Step 2: Interpret & Prioritize</a> (July 2024). The main outputs contain the maximum values of Water Availability and of Water Pollution as well as the individual indicators' values. This information is available at different spatial resolutions, thus in two data formats: 1) a shapefile with values at HydroBasins (Pfafstetter level 6); and 2) an excel file with values at sub-national divisions (Adm1) and national divisions (Adm0). These datasets and complete documentation are publicly available for download below.</p>
Fig. 3 in Phylogenetic placement of a new paleoendemic pill scarab from the Udzungwa Mountains, Tanzania, triggers biogeographic interpretations (Coleoptera: Hybosoridae, Ceratocanthinae)
Fig. 3 – Habitus of select ingroup and outgroup pill scarabs, dorsal view; images are to scale.
The School Leavers' Study Data Verification: A Cross Check for Typographical Errors, Omissions, and Dubious Word Interpretations
<p>This data set reflects a verification procedure to check for typographical errors, data omissions, and dubious word interpretations made by UK data curators. During the course of verification, the XML files contained in the UK Data Service repository were cross checked against the RTF files. In the course of verifying the documents, some changes were adopted to wording, as with essay 110, where the word "regretted" makes sense in the sentence as opposed to the suggested term "{regarted?}" noted in the XML file. Any changes during verification were performed by the close reading method, whereby contextual clues in the sentence guided the investigator to make a guess on the term intended by the original essay writer. When contexts were not sufficient to resolve meanings and spellings, original words and spellings were kept. Examples of former omissions within documents include essay number 148. The following statement was omitted from the XML file: "I retired not long ago after forty years with the same company. Life is very tedious now and I spend most of my time just sitting around thinking of the past." Essay 150 suffered the same problem: "life my first interview was nerve wracking.", exists in the RTF file, but was missing from the XML file. In cases where the RTF and XML files are in dispute over omissions, I have included the missing information from the RTF file into the data set. Place names have been edited so they read with standard British spellings. The data have been cleaned and standardized to American spellings, and this reflects the investigator's framework over the data. English turns of phrases were retained as much as possible. The investigator is aware that any transcription of historical data (e.g. be it from the curators' translations of writings on original printed pages to digital objects) includes adding personal perspective into the documents themselves. This is a limitation to the data cleaning process, and is here noted. Readers are invited to compare and contrast this verified data set with the original XML and RTF files.The second edition of the data deposited in the UK repository is cited as: </p> <p>Pahl, R.E. (2012). <em>School Leavers Study, 1978</em>. [data collection]. <em>2nd Edition. </em>UK Data Service. SN: 4867, <a href="http://doi.org/10.5255/UKDA-SN-4867-1">http://doi.org/10.5255/UKDA-SN-4867-1</a></p> <p>The original data are available under a Creative Commons-NonCommercial-ShareAlike 4.0 International license. The data may be accessed through the UK Data Service Qualibank.</p>
Dataset: The plural interpretability of German linking elements ("Morphology")
<p><strong>This dataset accompanies a paper to be published in "Morphology" (JOMO, Springer). Under the present DOI, all data generated for this research as well as all scripts used are stored. The paper itself is not CC-licensed, refer to Springer's "Morphology" website for details!</strong></p> <p><strong>Abstract</strong></p> <p>In this paper, we take a closer theoretical and empirical look at the linking elements in German N1+N2 compounds which are identical to the plural marker of N1 (such as <em>-er</em> with umlaut, as in <em>Häus-er-meer</em> 'sea of houses'). Various perspectives on the actual extent of plural interpretability of these pluralic linking elements are expressed in the literature. We aim to clarify this question by empirically examining to what extent there may be a relationship between plural form and meaning which informs in which sorts of compounds pluralic linking elements appear. Specifically, we investigate whether pluralic linking elements occur especially frequently in compounds where a plural meaning of the first constituent is induced either externally (through plural inflection of the entire compound) or internally (through a relation between the constituents such that N2 forces N1 to be conceptually plural, as in the example above). The results of a corpus study using the DECOW16A corpus and a split-100 experiment show that in the internal but not external plural meaning conditions, a pluralic linking element is preferred over a non-pluralic one, though there is considerable inter-speaker variability, and limitations imposed by other constraints on linking element distribution also play a role. However, we show the overall tendency that German language users do use pluralic linking elements as cues to the plural interpretation of N1+N2 compounds. Our interpretation does not reference a specific morphological framework. Instead, we view our data as strengthening the general approach of probabilistic morphology.</p>
Bridging the Chromosome-Centric and Biology and Disease Human Proteome Projects: Accessible and automated tools for interpreting biological and pathological impact of protein sequence variants detected via proteogenomics
<p>Bridging the Chromosome-Centric and Biology and Disease Human Proteome Projects: Accessible and automated tools for interpreting biological and pathological impact of protein sequence variants detected via proteogenomics</p>
Seismic interpretation of key stratigraphic and structural surfaces, and crustal faults within the Galicia 3-D reflection survey
<p>This repository contains all the seismic interpretations utilized for the analysis in the article "<em>Origin of serpentinization patterns beneath the S-reflector detachment fault in the Galicia margin, offshore Spain</em>". </p> <p>The "<em>Surfaces</em>" file contains the CPS-3 shape files of the major stratigraphic and structural surfaces (seafloor, base of post-rift sedimentary strata, base of pre/syn-rift sedimentary strata, base of crystalline basement, S-reflector detachment fault, Moho). The "<em>Faults</em>" file contains the interpretations of the major crustal faults overlying the S-reflector detachment. The "<em>Data</em>" file contains the spatial boundary of where the S-reflector is the crust-mantle boundary, the P-wave velocities of Schuba et al. (2019) and calculated degree of serpentinization (Schuba et al., submitted) based on Christensen's (2004) 200 MPa/200<sup>o</sup>C serpentinite compilation study. </p> <p>All seismic interpretations were carried out on Petrel<sup>TM</sup> versions 2015 and 2017. The seismic reflection volume that was interpreted can be found at https://doi.org/10.1594/IEDA/500151.</p> <p> </p> <p>References: </p> <ul> <li>Christensen, N.I. (2004). Serpentinites, Peridotites, and Seismology. <em>International Geology Review</em>, <em>46</em>(9), 795-816. https://doi.org/10.2747/0020-6814.46.9.795</li> <li>Schuba, C.N., Schuba, J.P. Gray, G.G., and Davy, R.G., (2019). Interface targeted velocity estimation using machine learning. <em>Geophysical Journal International</em>, <em>218</em>(1), 45-56. https://doi.org/10.1093/gji/ggz142</li> <li>Schuba, C.N., Gray, G.G., Morgan, J.K., Schuba, J.P., and Sawyer, D.S., (submitted). Interface targeted velocity estimation using machine learning. <em>Geochemistry, Geophysics, Geosystems.</em></li> </ul>
Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome: Supplemental Data
<p>This upload contains the supplemental data to the manuscript titled, "Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome". It contains the transformed data used to train the model (*-grouped-clr.csv), the latent feature space (latent_z.txt), and the differential abundance results (*DA*.csv).</p>
Fig. 1 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 1. Correlation between values of SCP index of Carabids beetles and age of inhabiting forests.
Fig. 8 in Interpreting the condition of the forest environment with use of the SCP/MIB model of carabid communities (Coleoptera: Carabidae)
Fig. 8. The status of carabid communities living in different zones of the forest – fallow ecotone.
Figure 8 in Mathematical interpretation of avian egg shapes
Figure 8. Compound asymmetric obtuse-drop-shaped pseudo-ovoid = obtuse+ drop-shaped true ovoid.
UNIC Example implementations of the metadata schema for interpreting corpora
<p>Four example implementations of the metadata schema for interpreting corpora, namely the European Parliament Interpreting Corpus v2.0 (Russo et al. 2012), the interpreted subcorpus of the <em>Dolmetschen im Krankenhaus</em> (‘Interpreting in Hospitals’) corpus v1.1 (Bührig et al. 2012), the Speech Corpus of Interpreted Premier Press Conferences v1.0 (Liu 2023), and the Belgian Covid Sign language corpus v1.1 (Vandeghinste et al. 2022). </p>
Figure 1 in First record of Parochlus kiefferi (Garrett, 1925) in a sediment sequence from a Slovak mountain lake with notes on paleolimnological interpretation
Figure 1. View of lake Vrbické pleso. Photo: Ladislav Hamerlík.
UNIC Example implementations of the metadata schema for interpreting corpora
<div> <p>Four example implementations of the metadata schema for interpreting corpora, namely the European Parliament Interpreting Corpus v2.0 (Russo et al. 2012), the interpreted subcorpus of the <em>Dolmetschen im Krankenhaus</em> (‘Interpreting in Hospitals’) corpus v1.1 (Bührig et al. 2012), the Speech Corpus of Interpreted Premier Press Conferences v1.0 (Liu 2023), and the Belgian Covid Sign language corpus v1.1 (Vandeghinste et al. 2022). </p> </div>
Interpretation of inherited risk signals using genetic algorithms
<p>This tarball contains the pre-processed data in .Rda files and code in .Rmd file required to execute the genetic algorithm model and compile figures in this study.</p>
Data from: How "simple" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: a case study using the lake whitefish
Reduced representation (RRL) sequencing approaches (e.g., RADSeq, genotyping by sequencing) require decisions about how much to invest in genome coverage and sequencing depth (library quality), as well as choices of values for adjustable bioinformatics parameters. To empirically explore the importance of these "simple" decisions, we generated two independent sequencing libraries for the same 142 individual lake whitefish (Coregonus clupeaformis) using a nextRAD RRL approach: (1) A small number of loci and low sequencing depth (library A); and (2) more loci and higher sequencing depth (library B). The fish were selected from populations with different levels of expected genetic subdivision. Each library was analyzed using the STACKS pipeline followed by three types of population structure assessment (FST, DAPC and ADMIXTURE) with iterative increases in the stringency of sequencing depth and missing data requirements, as well as more specific a priori population maps. Library B was always able to resolve strong population differentiation in all three types of assessment regardless of the selected parameters. In contrast, library A produced more variable results; increasing the minimum sequencing depth threshold (-m) resulted in a reduced number of retained loci, and therefore lost resolution at high -m values for FST and ADMIXTURE, but not DAPC. FST and DAPC were robust to varying the population map and increasing the stringency of missing data requirements. In contrast, ADMIXTURE was unable to resolve strong population differentiation when increasing these same parameters in library A. Similarly, when examining fine scale population subdivision, library B was robust to changing parameters but library A lost resolution depending on the parameter set. We used library B to examine actual subdivision in our study populations. All three types of analysis found complete subdivision among populations in Lake Huron, ON and Dore Lake, SK, Canada using 10,640 SNP loci. Weak population subdivision was detected in Lake Huron with fish from sites in the north-west, Search Bay, North Point and Hammond Bay, showing slight differentiation. Overall, we show that apparently simple decisions about library quality and bioinformatics parameters can have potentially important impacts on the interpretation of population subdivision. Although costly, the early investment in a high-quality library and more conservative stringency settings on STACKS parameters lead to a final dataset that was more consistent and robust when examining both weak and strong population differentiation.
How do children and adolescents experience healthcare professionals? Scoping review and interpretive synthesis
<p class="MsoPlainText"><strong>Objective</strong></p> <p class="MsoPlainText">Explore children's and adolescents' (CADs') lived experiences of healthcare professionals (HCPs).</p> <p class="MsoPlainText"><strong>Eligibility criteria</strong></p> <p class="MsoPlainText">Research articles containing direct first-person quotations by CADs (aged 0-18 years inclusive) describing how they experienced HCPs.</p> <p class="MsoPlainText">Scoping review methodology provided a six-step framework to, first, identify and organise existing evidence. Interpretive phenomenology provided methodological principles for, second, an interpretive synthesis of the life-worlds of CADs receiving healthcare, as represented by verbatim accounts of their experiences. Five key databases (Ovid MEDLINE, Embase, Scopus, CINAHL Plus, and Web of Science), from inception through to January 2019, reference lists, and opportunistically identified publications. Tabulation of study characteristics, contextual information, and verbatim extraction of all 'relevant' (as defined above) direct quotations. Analysis of basic scope of the evidence-base. The research team worked reflexively and collaboratively to interpret the qualitative data and construct a synthesis of children's experiences. To consolidate and elaborate the interpretation, we held two focus groups with CAD inpatients in a children's hospital. 669 quotations from 99 studies described CADs' experiences of HCPs. Favourable experiences were of forming trusting relationships and being involved in healthcare discussions and decisions; less favourable experiences were of not relating to or being unable to trust HCPs and/or being excluded from conversations about them. HCPs fostered trusting relationships by being personable, wise, sincere, and relatable. HCPs made CADs feel involved by including them in conversations, explaining medical information, and listening to CADs' wider needs and preferences.These findings strengthen the case for making CADs partners in healthcare despite their youth. We propose that a criterion for high-quality child-centred healthcare should be that HCPs communicate in ways that engender trust and involvement.</p>
FIG. 4 in Evaluation of Linnaeus' concept of Santolina rosmarinifolia L. (Asteraceae, Anthemideae) and its interpretation
FIG. 4. — Lectotype of S. rosmarinifolia L. var. foliosa Sennen & Elías (BC-SENNEN 831809).
FIG. 1 in Evaluation of Linnaeus' concept of Santolina rosmarinifolia L. (Asteraceae, Anthemideae) and its interpretation
FIG. 1. — Specimen of S. rosmarinifolia L. (L 0053126) preserved in the herbarium of A. van Royen.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.