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90 results for “typology”
Figure 4 in The effects of various lake typologies on the distribution of Chironomus spp. (Diptera), and arguments on optional factors of Water Framework Directive in Türkiye
Figure 4. CCA ordination of the sampled lakes (L1 to L20, except L2) based on national altitude class boundaries (R1: <800 m, R2: 800–1600 m, R3:>1600 m). A total of 62.06% variance was expressed in the first two axes. The distinction of the three groups was found to be statistically significant (p <0.05). For the significance levels of the typological factors, see Table 1.
Figure 2 in The effects of various lake typologies on the distribution of Chironomus spp. (Diptera), and arguments on optional factors of Water Framework Directive in Türkiye
Figure 2. Pearson's correlation heatmap of the 20 environmental variables and 2 taxa metrics (H` and J). Color intensity and the size of the circle are proportional to the correlation coefficients: red spectrum indicates a negative correlation, and blue spectrum indicates a positive correlation.
Typological Database of Intensifiers and Reflexives
Typological Database of Intensifiers and Reflexives
Parallel text typology dataset
<p>This repository contains data accompanying the paper <em>Neural models can sometimes discover typological generalizations</em>, currently being submitted for publication. It contains the following information for 1295 different languages:</p> <ul> <li>language vector representations from a range of neural models</li> <li>automatically derived lists of affixes</li> <li>automatically derived lists of inflectional paradigms</li> <li>typological features derived from annotation projection, and statistics on dependency relations</li> <li>typological features derived from classifiers trained on language vectors and typological databases</li> <li>automatically derived word lists</li> <li>data needed for automatic evaluation of language representations (code in separate repository)</li> </ul> <p>Note that the multilingual word embeddings described in the paper are very large, and therefore distributed in a separate public repository.</p>
Dataset on Article: River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts
<p>This repository contains raw data from the article "River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts" which is currently under review.</p> <p>It contains data to allocate the pressures (<strong>Data_pressure_allocation.csv</strong>) and calculate the Pressure Index (<strong>Data_pressure_index.csv</strong>) for Table 1, and for the Spearman correlations for Figure 2 (<strong>Data_Spearman_correlations.csv</strong>).</p> <p> </p> <p>Also available is the Shapefile used for the different agricultural maps (Figure 1 and Figure S1-S4):</p> <p><strong>Shapefile Schürings_et_al._2023</strong> (Coordinate system: ETRS 1989 UTM Zone 32N)</p> <p><strong>Attribute description</strong></p> <p>Id - Identifier of polygons</p> <p>gridcode - Code of agricultural archetypes of Levers et al., (2018)</p> <p>M_ZHYD: Unique identifier of corresponding FEC</p> <p>mars_bt12: River types</p> <p>eco_stat_2: Ecological status</p> <p>Biogeoregi: Biogeographical Regions - AN = Northern and Highland, Temp = Temperate, Mediterranean = Mediterranean</p> <p>Cum_pressu: Agricultural pressure index</p> <p>Nitrogen: Agricultural nitrogen pressure</p> <p>Pesticides: Agricultural pesticide pressure</p> <p>Hydromorph: Agricultural hydromorphological pressure</p> <p>Water_abst: Agricultural water abstraction</p>
Assessing the influence of shoreline adaptation on tidal hydrodynamics: The role of shoreline typologies
<p>This dataset contains water level and tidal constituent data for Operational Landscape Unit (OLU)-level shoreline protection scenarios in San Francisco Bay. The scenarios were modeled with a hydrodynamic model (Delft3D) for the manuscript entitled: <em>Assessing the influence of shoreline adaptation on tidal hydrodynamics: The role of shoreline typologies</em> (doi: 10.1029/2020JC016705).</p>
SiEUGreen - Dataset for Baseline study including key indicators and development of a typology
<p>Dataset used for the report (D1.2) presenting the baseline study including key indicators and development of a typology. develops a theoretical and methodological framework that sustains a coherent Urban Agriculture (UA) typology that covers the specificities of the different SiEUGreen showcases. Data contains qualitative and quantitative data in an excel sheet and docx files. The purpose of the dataset is to be used to create a comprehensive conceptual framework about UA including a comparative perspective across different institutional settings and cultures. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning.</p>
Reddit's NetSec forum GitHub projects, typology, maturity and popularity indicators
<p>Dataset including information of GitHub projects shared on Reddit's forum /r/netsec. It includes information about the posts itselves, like the author, title, image, tags, number of upvotes and number of comments, as well as repository information, such as number of stars, forks, issues, collaborators and the repository URL and last modification date.</p>
CLDF dataset derived from Tang and Her's "Quantitative typological data on classifiers and plural markers" from 2019
<p><strong>Tang, Marc and One-Soon Her. 2019. Insights on the Greenberg-Sanches-Slobin Generalization: Quantitative typological data on classifiers and plural markers. Folia Linguistica, 53(2): 297-331. https://doi.org/10.1515/flin-2019-2013.</strong></p>
Kiel South Asian Typological Database
<p>Legend for interpreting the data of the</p> <p><strong>Kiel South Asian Typological Database</strong></p> <p>This corpus was originally compiled under the direction of John Peterson by Jessica Katiuscia Ivani, with contributions by Netra Prasad Paudyal, Nikita König, Lennart Chevallier, Anika Besser, Nellia Bleyer, Sarah Anders and Josephine Hennig in the project “Towards a linguistic prehistory of eastern central South Asia (and beyond)”, financed by the German Research Council (DFG, Project Grant 326697274), which we gratefully acknowledge.</p> <p>The database has since been considerably expanded—22 features pertaining to negation strategies and 6 new languages have been added, especially of the Indo-Iranian stock. These Indo-Iranian languages could be included thanks to a generous grant from the Subcluster “ROOTS of Inequalities: Social, Economic, and Environmental Developments” in the Cluster of Excellence “ROOTS – Social, Environmental, and Cultural Connectivity in Past Societies”, also funded by the DFG, which we also gratefully acknowledge here.</p> <p>The data have been re-checked and corrected, where necessary, by John Peterson, Lennart Chevallier, Shane Arzbach, Sebastian Dudek, Martina Riege, Swantje Fuhrken, and Luna Hemmerling.</p> <p>This database includes information on up to 230 features (described below) for 42 languages from the Indo-Aryan, Indo-Iranian, Munda and Dravidian stocks, as well as the isolates Kusunda and Nihali. Of these 230 features, 98 derive from the <a href="https://glottobank.org/#grambank">Grambank</a> database of the <a href="https://glottobank.org/">Glottobank</a> research consortium and were compiled by the members of our project in cooperation with that project. We include here only those 98 features from that database which we felt are of particular relevance for South Asia.</p> <p>All future updates will be documented in detail with respect to the changes made, together with the date of the respective update.</p> <p> </p> <p><strong>Feature values:</strong> The features are encoded as follows for all languages:</p> <p><strong>1</strong> – the respective feature is found in this language</p> <p><strong>0</strong> – the respective feature is not found in this language</p> <p><strong>?</strong> – it is not clear from the available data sources whether this feature is found in the respective language or not</p> <p><strong>NA</strong> – this section of the data has not yet been completed for the relevant data</p> <p>The values of the multistate features—<a href="https://github.com/grambank/Grambank/wiki/GB024">GB024</a>, <a href="https://github.com/grambank/Grambank/wiki/GB025">GB025</a>, <a href="https://github.com/grambank/Grambank/wiki/GB065">GB065</a>, & <a href="https://github.com/grambank/Grambank/wiki/GB193">GB193</a>—state, whether the adnominal element precedes (<strong>1</strong>) or follows (<strong>2</strong>) the noun or both orders occur (<strong>3</strong>).</p> <p>Features labeled “GB” are features from the original Grambank database compiled by members of our project. As the labeling of features in that database may have changed somewhat since that time, the labels found here may no longer correlate one-to-one with those features. We hope to synchronize these labels in the near future, but until then users of these features will have to check these on their own.</p> <p>The feature labels “NGB”, “JPP” and “SA” refer only to different stages during the compilation of the data in our own project and are not relevant to the analysis of the data themselves.</p> <p>The primary areas of grammar covered by the relevant features (e.g., ergativity, classifiers, negation, number, etc.) have been indicated on the right-hand side of the features list for many of these features. This list is not exhaustive and is only intended to serve as an initial orientation.</p> <p> </p> <p><strong>Use of these data</strong></p> <p>These data may be freely used in scientific research under the following two conditions:</p> <ol> <li>That you properly cite this database, including the following information:<br><br>Peterson, John, Chevallier, Lennart & Ivani, Jessica Katiuscia. 2024. <em>The Kiel South Asian Typological Database.</em> https://doi.org/10.5281/zenodo.13769431. [Date of last access].<br> </li> <li>That you inform us in the event of incorrect data in the table, should you find any, so that we can recheck these ourselves.<br><br>We would also be grateful if you would send us a copy of your work using these data.</li> </ol> <p> </p> <p>We expressly welcome input on the data from experts in the languages contained in this database and on further languages of the subcontinent!</p>
Dataset and typology of populist and nativist parties
<p>The Report containing tools Excel file that presents a very reach and original typology of populist and nativist parties has been released by Takis Pappas, University of Helsinki, Finland, and Dimitris Skleparis, DemSoc. The Excel file consists of 21 spreadsheets including 10 variables which provide users with some basic information about the 18 selected parties/case studies by: <em>country, party name, full party name, year founded, party type, political position, predecessor name, the </em>total number of party splits, the total number of terms in power and the <em>total number of leaderships</em>.</p>
Typology of glaciers and perennial ice bodies for the Mont Blanc massif
<p>The inventory presents different glacier classes and other perennial ice bodies like ice aprons, glacierets, ice caps and snow ice covers for the Mont Blanc massif. </p>
Abundance trends for river macroinvertebrates vary across taxa, trophic group and river typology
<p>There is mounting evidence that terrestrial arthropods are declining rapidly in many areas of the world. It is unclear whether freshwater invertebrates, which are key providers of ecosystem services, are also declining. We addressed this question by analysing a long-term dataset of macroinvertebrate abundance collected from 2002 to 2019 across 5,009 sampling sites in English rivers. Patterns varied markedly across taxonomic groups. Within trophic groups, we detected increases in the abundance of carnivores by 19% and herbivores by 14.8%, whilst we estimated decomposers have declined by 21.7% in abundance since 2002. We also found heterogeneity in trends across rivers belonging to different typologies based on geological dominance and catchment altitude, with organic lowland rivers having generally higher rates of increase in abundance across taxa and trophic groups, with siliceous lowland rivers having the most declines. Our results reveal a complex picture of change in freshwater macroinvertebrate abundance between taxonomic groups, trophic levels and river typologies. Our analysis helps with identifying priority regions for action on potential environmental stressors where we discover macroinvertebrate abundance declines.</p>
Split Inalienable Coding in Linguistic Wallacea: Typology, origins, spread – supplemental materials
<p>Supplemental materials for the paper: 'Split Inalienable Coding in Linguistic Wallacea: Typology, origins, spread'.</p>
Abundance trends for river macroinvertebrates vary across taxa, trophic group and river typology
Open the record for dataset details and reuse information.
CLDF dataset derived from Tang and Her's "Quantitative typological data on classifiers and plural markers" from 2019
<p>Cite the source of the dataset as:</p> <blockquote> <p>Tang, Marc and One-Soon Her. 2019. Insights on the Greenberg-Sanches-Slobin Generalization: Quantitative typological data on classifiers and plural markers. Folia Linguistica, 53(2): 297-331. https://doi.org/10.1515/flin-2019-2013</p> </blockquote>
Bivaltyp. Typological database of bivalent verbs and their encoding frames
<p>This archive contains the dataset used for Bivaltyp: Typological database of bivalent verbs and their encoding frames.</p> <p>For the explanation of the tags used in the spreadsheets, see www.bivaltyp.info, especially 1) https://www.bivaltyp.info/howtoreadthedata/ for the presentation of data on individual sentences, patterns and verbs, and 2) the description at https://www.bivaltyp.info/languages/listview/ for the information on languages, including some cumulative parameters of their valency class systems.</p> <p>predicates.csv is a spreadsheet with the verbs and their argument frames used as the questionnaire for this study.</p> <p>languages.csv contains the basic info on the 85 languages of the sample (glottode, genealogical information, contributors, etc.)</p> <p>valency_patterns_main.csv contains the data gathered in the project (valency patterns associated with specific verbs in individual languages, translations of the stimulus sentences (where available), etc.).</p> <p>language_stats.csv is a spreadsheet with the cumulative properties of languages based on data collected in the project (the ratio of transitive verbs, entropy, etc.)</p> <p>unnormalised_data.xlsx contains the data on valency patterns gathered in the project; it is similar to valency_patterns_main.csv, but the rows redundantly display explicit information on language names, predicate labels, etc.</p>
Supplementary Materials for 'Colexification patterns in Europe: A study of persistence and diffusibility in the lexicon, based on the Database of Crosslinguistic Colexifications (CLICS3)' (Linguistic Typology)
<p>The folder contains the data and scripts used for the article on 'Colexification patterns in Europe: A study of persistence and diffusibility in the lexicon, based on the Database of Crosslinguistic Colexifications (CLICS3)'</p>
Erasure typology
<p>This table illustrates a typology of erasure (updated Oct. 25, 2021). The fields and taxonomy have been refined along with the documentation of creative works that employ erasure techniques—dataset of +400 works available in this repository.</p> <p>This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 793147, ARTDEL.</p> <p>More info at https://artdel.net</p>
Towards a prosodic typology of Kherwarian Munda languages: Santali of Assam
<p>No Kherwarian lects have been studied experimentally using instrumental phonetic techniques. Here we begin this process looking at underived disyllabic lexical items in Assam Santali. Forms were recorded in isolation, in a quasi-focal frame "I ____ said", and in an out of focus frame "I ____ LOUDLY said, not SOFTLY" to control for focal intonation effects and those of phrasal or utterance intonation. Instrumental analysis suggests that Assam Santali always show prominence on the second syllable of disyllables, cued by intensity, f0 and duration.</p>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.