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Figure 3 in Removal of historical taxonomic bias and its impact on biogeographic analyses: a case study of Neotropical tardigrade fauna
Figure 3. Species accumulation curves for all data ('false cosmopolitan' and 'indigenous species'), and only 'indigenous data' for a. the Neotropical region (NR), b. the Andean region (AR), c. the South American transition zone (SATZ), and d. the Mexican transition zone (MTZ). Orange curves represent all data, violet curves represent only 'indigenous data', and shaded areas around them represent their 95% confidence interval. Each publication containing species records was considered a survey.
Figure 2 in Removal of historical taxonomic bias and its impact on biogeographic analyses: a case study of Neotropical tardigrade fauna
Figure 2. Map of all incidence records of freshwater and limnoterrestrial tardigrades, from 1908 to 2023, present in the Andean and Neotropical regions proposed by Morrone (2015) and Morrone et al. (2022), respectively. Orange circles with black outline represent records. The hierarchy of compartmentalisation is from highest to lowest level: region, transition zone, subregion, dominion, and province. Each level can be subdivided into multiple lower levels under their name (e.g., a region consisting of several subregions). Each biogeographic province is coloured according to its transition zone, subregion or dominion. The Neotropical region (NR), in this study, is composed of the Antillean subregion (ASR), Brazilian subregion (BSR) and Chacoan subregion (CSR). The BSR is composed of the Mesoamerican dominion (MD), Pacific dominion (PD), Boreal Brazilian dominion (BBD) and South Brazilian dominion (BBD). The CSR is composed of the Southeastern Amazonian dominion (SAD), Chacoan dominion (CD) and Paraná dominion (PD). The Andean region (AR), in this study, is composed of the Central Chilean subregion (CCSR), Subantarctic subregion (SSR) and Patagonian subregion (PSR). The acronym for each region, transition zone, subregion or dominion is presented next to its name.
Figure 1 in Removal of historical taxonomic bias and its impact on biogeographic analyses: a case study of Neotropical tardigrade fauna
Figure 1. Biogeographic compartmentalisation of provinces from the Andean and Neotropical regions proposed by Morrone (2015) and Morrone et al. (2022), respectively. The hierarchy of compartmentalisation is from highest to lowest level: region, transition zone, subregion, dominion, and province. Each level can be subdivided into multiple lower levels under their name (e.g., a region consisting of several subregions). Each biogeographic province is coloured according to its transition zone, subregion or dominion. The Neotropical region (NR), in this study, is composed of the Antillean subregion (ASR), Brazilian subregion (BSR) and Chacoan subregion (CSR). The BSR is composed of the Mesoamerican dominion (MD), Pacific dominion (PD), Boreal Brazilian dominion (BBD) and South Brazilian dominion (BBD). The CSR is composed of the Southeastern Amazonian dominion (SAD), Chacoan dominion (CD) and Paraná dominion (PD). The Andean region (AR), in this study, is composed of the Central Chilean subregion (CCSR), Subantarctic subregion (SSR) and Patagonian subregion (PSR). The acronym for each region, transition zone, subregion or dominion is presented next to its name. Under each subregion or dominion, the names of the comprising provinces are listed. The nature of the records present in each province is indicated by an icon of a coloured tardigrade next to its name: provinces without records of tardigrade species (red tardigrade), provinces with only records of 'false cosmopolitan species' (blue tardigrade), provinces with records of 'false cosmopolitan' and 'indigenous species' (orange tardigrade), and provinces with only records of 'indigenous species' (violet tardigrade). The tardigrade icon is in the public domain and was obtained from Phylopic (https://www.phylopic.org).
Figure 5 in Removal of historical taxonomic bias and its impact on biogeographic analyses: a case study of Neotropical tardigrade fauna
Figure 5. Tanglegram of consensus tree exhibiting the similarity between all biogeographic provinces from biogeographic regions and transitions zones (Andean region (AR), South American transition zone (SATZ), Neotropical region (NR), and Mexican transition zone (MTZ)) for all data ('false cosmopolitan' and 'indigenous species', on the left) and only 'indigenous data' (on the right). Each province is connected to itself by a dark grey line. The consensus tree was obtained by resampling (1000×) the row order with the 'recluster' package (Dapporto et al. 2020). Each province is coloured according to their area of origin: provinces from the AR are coloured blue, provinces from the SATZ are coloured light green, provinces from the NR are coloured pink, and provinces from the MTZ are coloured purple. Branches of provinces that appear unrelated to any other are bold and red-coloured. Provinces without any records of 'indigenous species' are not present in the tanglegram. Provinces without any records of tardigrade species were excluded from the clustering analysis.
Table 2 in Removal of historical taxonomic bias and its impact on biogeographic analyses: a case study of Neotropical tardigrade fauna
<p><b>Table 2.</b> Extrapolated richness of limnoterrestrial and freshwater tardigrade species and standard error for each region and transition zone. Estimations were made with all data (‘false cosmopolitan’ and ‘indigenous species’) and only ‘indigenous data for comparison. Estimations were made using the Jackknife1 estimator (based on: Burnham and Overton 1978, 1979).</p><table><tbody><tr><th><b>Area</b></th><th><b>Dataset</b></th><th><b>Number of provinces with at least one record</b></th><th><b>Total number of provinces</b></th><th><b>Observed richness</b></th><th><b>Estimated richness</b></th><th><b>Standard error</b></th></tr></tbody><tbody><tr><th>Neotropical region</th><td>All data (‘false cosmopolitan’ and ‘indigenous species’)</td><td>33</td><td>50</td><td>186</td><td>282.969</td><td>29.094</td></tr><tr><td>‘Indigenous data’</td><td>29</td><td>50</td><td>96</td><td>157.793</td><td>19.499</td></tr><tr><th>Andean region</th><td>All data (‘false cosmopolitan’ and ‘indigenous species’)</td><td>7</td><td>9</td><td>105</td><td>159.857</td><td>31.489</td></tr><tr><td>‘Indigenous data’</td><td>7</td><td>9</td><td>43</td><td>68.714</td><td>14.154</td></tr><tr><th>South America transition zone</th><td>All data (‘false cosmopolitan’ and ‘indigenous species’)</td><td>6</td><td>7</td><td>66</td><td>102.666</td><td>25.011</td></tr><tr><td>‘Indigenous data’</td><td>3</td><td>7</td><td>26</td><td>41.330</td><td>12.995</td></tr><tr><th>Mexican transition zone</th><td>All data (‘false cosmopolitan’ and ‘indigenous species’)</td><td>5</td><td>5</td><td>41</td><td>65.800</td><td>14.881</td></tr><tr><td>‘Indigenous data’</td><td>4</td><td>5</td><td>11</td><td>19.250</td><td>5.068</td></tr></tbody></table>
INCLUSIVE DESIGN: PRINCIPLE-BASED CASE STUDIES OF THE NIGERIAN BUILT-UP SPACE
<p>Data set for Tables and figures for INCLUSIVE DESIGN: PRINCIPLE-BASED CASE STUDIES OF THE NIGERIAN BUILT-UP SPACE</p>
FIGURE 4 in Why so different? A case study about Floras from a Mediterranean island
FIGURE 4. Repartition in different categories of the 298 taxa considered as P in ARR and in different way in BAR. P=Occurring; D=Doubtfully occurring or no longer recorded; NP=Recorded by mistake; C=Cryptogenic; A=Alien.
FIGURE 2 in Why so different? A case study about Floras from a Mediterranean island
FIGURE 2. Number of taxa for each considered occurrence status in the two checklists. P=Occurring; D=Doubtfully occurring or no longer recorded; NP=Recorded by mistake; C=Cryptogenic.
FIGURE 3 in Why so different? A case study about Floras from a Mediterranean island
FIGURE 3. Repartition in different categories of the 379 taxa considered as P in BAR and in different way in ARR. P=Occurring; D=Doubtfully occurring or no longer recorded; NP=Recorded by mistake; C=Cryptogenic; A=Alien.
Data for submitted paper "Assessment of Land Reclamation Impacts on Coastal Hydrodynamics and Hydro-environment: A Case Study of Kau Yi Chau Artificial Islands in Hong Kong"
<p>Data for submitted paper "Assessment of Land Reclamation Impacts on Coastal Hydrodynamics and Hydro-environment: A Case Study of Kau Yi Chau Artificial Islands in Hong Kong"</p>
Supplementary materials - Pharyngeal airway changes after functional orthodontic treatment – a retrospective case-control study on a pediatric population
<p>Supplementary data for an article: "Pharyngeal airway changes after functional orthodontic treatment – a retrospective case-control study on a pediatric population"</p>
Determinants of Agricultural Technology Adoption in Urban Vegetable Production: A Case Study of Chelencko and Kullubi Cities
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Diagnosis of lithium-ion batteries degradation with P2D model parameters identification: a case study on low temperature charging
<p>Dataset and code of the equilibrium model. They refer to publication <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.fub.2024.100006" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.fub.2024.100006</span></span></a></p>
Input data for the exposure assessment case study on air pollution and noise for the province of Utrecht, the Netherlands
<p>Input datasets for the case study described in the manuscript "A computational framework for agent-based assessment of multiple environmental exposures".<br>Use the free 7-Zip to uncompress. Uncompressed size ca 103 GiB.</p> <p>The datasets are licensed under a Creative Commons license (CC-BY 4.0). Contact: o.schmitz@uu.nl</p>
Using Multi-Modal Path-Specific Transit Trips in Transportation Social Sustainability Analysis: Case Study in Atlanta, GA
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Taking Over the Role of Law Enforcement by National Television: The Case Study of Women's Strike Protests in Pandemic-Ridden Poland. From 22.10. 2020 to 30.10 2020
<p><span>W</span><span>omen’s strike protest during the second wave of the pandemic. <span>Sources published on Tvp.info in the period from 22.10. 2020 to 30.10 2020. It was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</span></span></p>
Improvements for the Planning Process in the Scrum Method - Case studies datasets
<p>Data for the article Improvements for the Planning Process in the Scrum Method. These are the data inputs for the case studies located in the article.</p>
Architecturally Significant Requirements and Software Architecture for AI-Based Systems: A Case Study with Document Classification
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Data from: Testing for unequal rates of morphological diversification in the absence of a detailed phylogeny: case study from characiform fishes
This study develops the random phylogenies rate test (RAPRATE), a likelihood method that simulates morphological evolution along randomly generated phylogenies, and uses it to determine whether a considerable difference in morphological diversity between two sister clades of South American fishes should be taken as evidence of differing rates of morphological change or lineage turnover. Despite identical ages of origin, similar species richness, and sympatric geographic distributions, the morphological and ecological diversity of the superfamily Anostomoidea exceeds that of the Curimatoidea. The test shows with 90% confidence (using variance among species as the measure of morphological diversity) or 99% confidence (using volume of occupied morphospace) that the rate of morphological change per unit time in the Anostomoidea likely exceeded that of the Curimatoidea. Variation in the rate of lineage turnover (speciation and extinction rates) is not found to affect greatly the morphological diversity of simulated clades and is not a likely explanation of the observed difference in morphological diversity in this case study. Though a 17% or greater delay in the onset of diversification in the Curimatoidea remains a possible alternative explanation of unequal morphological diversification, further simulations suggest that two clades drawn from the possible treespace of the Anostomoidea and Curimatoidea will rarely differ so greatly in the onset of diversification. Several uniquely derived morphological and ecological features of the Anostomoidea and Curimatoidea may have accelerated or decelerated their rate of morphological change, including a marked lengthening of the quadrate that may have relaxed structural constraints on the evolution of the anostomoid jaw.
Association of Cataract and Sun Exposure in geographically diverse populations of India: The CASE study. First Report of the ICMR-EYE SEE Study Group
<p><b>Purpose:</b> To determine the prevalence of cataract and its association with sun exposure and other environmental risk factors in three different geographically diverse populations of India.</p> <p><b>Design:</b> Population based cross sectional study during 2010-2016</p> <p><b>Participants:</b> People aged <u>></u> 40 years residing in randomly sampled villages were enumerated (12021) and 9735 (81%) underwent ophthalmic evaluation from plains, hilly and coastal regions (3595, 3231, 2909 respectively)</p> <p><b>Methods:</b> A detailed questionnaire-based interview about outdoor activity in present, past and remote past, usage of sun protective measures, exposure to smoke, and detailed ophthalmic examination including assessment of uncorrected and best corrected visual acuity, measurement of intraocular pressure, slit lamp examination, lens opacities categorization using LOCS III and posterior segment evaluation was done. Lifetime effective sun exposure was calculated using Melbourne formula and expressed as quantiles. These were supplemented with physical environmental measurements.</p> <p><b>Main outcome measures: </b>Lifetime sun exposure hours, smoking, indoor kitchen smoke exposure and their association with cataract and subtypes. Prevalence of cataract calculated based on lens opacities or evidence of cataract surgery.</p> <p><b>Results:</b> Cataract was identified in 3231 (33.3%) participants. Prevalence of cataract in males (32.3%) and females (34.1%) was similar. Nuclear cataract was the commonest sub-type identified in 94.7% of affected eyes. Sun exposure had a significant association with cataract with odds ratio (OR) increasing from 1.6 (95% Confidence Intervals [CI]: 1.4, 1.9) in 3<sup>rd</sup> quantile, to 2.6 (CI: 2.2, 3.1) in 4<sup>th</sup> quantile and 9.4 (CI: 7.9, 11.2) in 5<sup>th</sup> quantile (p<0.0001). Cataract also showed a significant association with smoking (OR: 1.4, CI: 1.2, 1.6) and indoor kitchen smoke exposure (OR: 1.2, CI: 1.0-1.4). Nuclear cataract showed a positive association with increasing sun exposure in 3<sup>rd </sup>(β coefficient 0.5, CI:0.2-0.7), 4<sup>th </sup>(β: 0.9, CI: 0.7-1.1) and 5<sup>th</sup> (β: 2.1, CI:1.8-2.4) quantiles of sun exposure, smoking (β: 0.4, CI: 0.2-0.6) and indoor kitchen smoke exposure (β: 0.3, CI: 01-0.5) while cortical cataract showed a positive association with sun exposure only in 5<sup>th</sup> quantile (β: 2.6, CI:1.0-4.2). Posterior subcapsular cataract was not associated with any of the risk factors.</p> <p><b>Conclusion:</b> Cataract is associated with increasing level of sun exposure, smoking and exposure to indoor kitchen smoke.</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.