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556 results for “diversity analysis”
Cancer screening attendance rates in transgender and gender-diverse patients: a systematic review and meta-analysis
<p>Supplementary Data to support the findings of a systematic review investigating cancer screening rates in transgender and gender-diverse individuals.</p>
Accompanying dataset; 'Agroforestry enhances biological activity, diversity and soil-based ecosystem functions in mountain agroecosystems of Latin America: A meta-analysis.'
<p>The database created as part of the meta-analysis is designed to facilitate the comparison of biological activity, diversity (BIAD), and ecosystem functions (EFs) between agroforestry systems (AFS) and other land-use types. It incorporates data extracted from selected studies, each record comprising a mean value, sample size, and a variance measure to compute standard deviation. The database also categorizes data according to 22 explanatory variables, including geographical coordinates, climate classification, soil type, AFS classification, and more, to characterize the sites and management systems involved. This detailed classification enables a nuanced analysis of how different factors might influence the BIAD and EFs in the context of AFS. The database supports the meta-analysis by allowing for the estimation of effect sizes using response ratios, which compare the relative difference in BIAD and EFs between AFS and other land uses. Data extraction from primary studies was meticulous, employing both direct and indirect methods such as graph digitizing software, and missing data were supplemented using reliable sources or direct communication with the original study authors. The comprehensive nature of this database ensures that the analysis can account for a wide range of variables that may affect the outcomes of interest in the meta-analysis. </p><p>For an in-depth exploration of the study's findings and methodology, refer to the comprehensive meta-analysis available in Global Change Biology (2024), entitled "<i>Agroforestry Enhances Biological Activity, Diversity, and Soil-Based Ecosystem Functions in Mountain Agroecosystems of Latin America: A Meta-Analysis</i>."</p>
nNPipe: A neural network pipeline for automated analysis of morphologically diverse catalyst systems - Resources
<p>This dataset comprises of resources required to replicate the results described in "<em>nNPipe</em>: A neural network pipeline for automated analysis of morphologically diverse catalyst systems". <em>nNPipe </em>is a deep learning based method in which two deep convolutional neural networks are used for the automated analysis of 2048x2048 HRTEM images.</p> <p>The file contains:<br> - Relevant experimental images as well as ground truth for Pd/C and Au/Ge systems.<br> - A workflow file explaining the nNPipe workflow.<br> - Mathematica 12.1 code for the generation of computational models.<br> - MATLAB code for HRTEM multislice simulations using MULTEM, as well as code required to form respective training datasets.<br> - Weights and files required for training the YOLOv5x module.<br> - Weights and files required for training the SegNet module.<br> - Mathematica 12.1 code required for reconstruction of 2048x2048 binary segmented maps of HRTEM images. </p>
Large-scale longitudinal gradients of genetic diversity: a meta-analysis across six phyla in the Mediterranean basins
Predicting patterns of variation in biodiversity across the globe is a fundamental issue in ecology and evolution. Diversity within species, that is, genetic diversity, is of prime importance for understanding past and present evolutionary patterns, and highlighting areas where conservation might be a priority. However, most studies on spatial patterns of genetic diversity have not considered longitude as a potentially important ecological driver of these patterns. Therefore, we carried out a meta-analysis to examine the longitudinal patterns of genetic diversity in the Mediterranean Basin. Using published literature and a systematic review/meta-analysis framework, we collected data on the genetic diversity of species whose populations occur in the Mediterranean basin. We then calculated a coefficient of correlation between within‐population genetic diversity indices and longitude, and estimated the role of biological, ecological, biogeographic, and marker type factors on the strength and magnitude of this correlation in six phylla. The results of this study were published in the paper titled Large‐scale longitudinal gradients of genetic diversity: a meta‐analysis across six phyla in the Mediterranean basin (Conord et al. 2012).
DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars
<p>The dataset contains 16150 samples extracted from 163 CTX images. Each sample depicts one of fifteen Martian surface landforms. One CTX image contributed with at least three and at most 1247 patches to the creation of the dataset. The dataset is subdivided into training, test, and validation sets, which contain seventy, ten, and twenty percent of the samples. The sets are mutually exclusive. Each sample has a size of 200 x 200 px or roughly 1.2km x 1.2km.</p> <p><strong>Contents</strong></p> <ul> <li>data.zip contains the dataset separated into training, validation, and test sets. </li> <li>models.zip contains pre-trained neural networks.</li> </ul> <p><strong>Classes</strong></p> <ul> <li><strong>Aeolian Bedforms</strong> <ul> <li>Aeolian Curved (ael)</li> <li>Aeolian Straight (aec)</li> </ul> </li> <li><strong>Topographic Landforms</strong> <ul> <li>Cliff (cli)</li> <li>Ridge (rid)</li> <li>Channel (fsf)</li> <li>Mounds (sfe)</li> </ul> </li> <li><strong>Slope Feature Landforms</strong> <ul> <li>Gullies (fsg)</li> <li>Slope Streaks (fse)</li> <li>Mass Wasting (fss)</li> </ul> </li> <li><strong>Impact Landforms</strong> <ul> <li>Crater (cra)</li> <li>Crater Field (sfx)</li> </ul> </li> <li><strong>Basic Terrain Landforms</strong> <ul> <li>Mixed Terrain (mix)</li> <li>Rough Terrain (rou)</li> <li>Smooth Terrain (smo)</li> <li>Textured Terrain (tex)</li> </ul> </li> </ul> <p><strong>Code</strong></p> <p>Python code to train, evaluate, and apply deep neural networks to Martian surface data is available at GitHub: <a href="https://github.com/thowilh/geomars">https://github.com/thowilh/geomars</a></p> <p><strong>Attribution</strong></p> <p>If you find this work useful please consider citing:</p> <p>Wilhelm, T.; Geis, M.; Püttschneider, J.; Sievernich, T.; Weber, T.; Wohlfarth, K.; Wöhler, C. DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars. Remote Sens. 2020, 12, 3981.</p> <pre><code>@article{wilhelm2020domars16k, doi = {10.3390/rs12233981}, url = {https://doi.org/10.3390/rs12233981}, year = {2020}, month = dec, publisher = {{MDPI} {AG}}, volume = {12}, number = {23}, pages = {3981}, author = {Thorsten Wilhelm and Melina Geis and Jens P\"{u}ttschneider and Timo Sievernich and Tobias Weber and Kay Wohlfarth and Christian W\"{o}hler}, title = {{DoMars}16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars}, journal = {Remote Sensing} }</code></pre> <p> </p>
FIGURE 15 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 15 Light micrographs of Longidorus pini Andrés and Arias, 1988 paratypes from San Martín del Pimpollar, Avila province (A–F), and the population from Nava de Francia, Salamanca province (G–M). A–C, G–I, female anterior regions. D–F, J–K, female tails. L-M, male tail with detail of spicules. Abbreviations: a = anus; gr = guiding ring; sp = spicules; spl = ventromedian supplements. Scale bars = 20 μm
FIGURE 13 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 13 Light micrographs of Longidorus cf. olegi Kankina & Metlitskaya, 1983. (A)–(B) female anterior region. (C)–(F) female lip regions. (G) detail of basal bulb. (H) vulval region. (I)–(L) female tails. (M) and (N), male tail with detail of spicules. (O)–(R) First-, second-, third-, and fourth-stage juvenile (J1–J4) tails, respectively. Abbreviations: a = anus; af = amphidial fovea; gr = guiding ring. Scale bars = 20 μm
FIGURE 14 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 14 Relationship of body length to length of functional and replacement odontostyle (Ost and rOst, respectively) length in all developmental stages from first-stage juveniles (J1) to mature females of Longidorus cf. olegi Kankina & Metlitskaya, 1983
FIGURE 12 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 12 Light micrographs of Longidorus nevesi Macara 1985. (A) female anterior region. (B) female lip region. (C) vulval region. (D) female tail. (E)–(F) male tail with detail of spicules. Abbreviations: a = anus; gr = guiding ring; spl = ventromedian supplements; V = vulva. Scale bars = 20 μm
Figure 11 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
Figure 11 Light micrographs of Longidorus carpetanensis Arias et al., 1986 from Puebla de Sanabria, Zamora (A)–(F), and topotypes from Navalmoral, Avila (G)–(L). A–C, G and H, female anterior regions. D, I, female tails. E and F, J and L, male tail with detail of spicules. Abbreviations: a = anus; gr = guiding ring; spl = ventromedian supplements. Scale bars = 20 µm
FIGURE 9 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 9 Light micrographs of Longidorus pacensis sp. nov. (A)–(G) Anterior regions. (H) Vulval region. (I)–(K) Female tails. (L) Detail of sperm cells. (M) and (N) Male tails. (O)–(R) First-, second-, third-, and fourth-stage juvenile (J1–J4) tails, respectively. Abbreviations: a = anus; af = amphidial fovea; gr = guiding ring; sp = spicules; spl = ventromedian supplements; v = vulva. Scale bars = 20 μm
FIGURE 10 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 10 Light micrographs of Longidorus africanus Merny, 1966. (A) female anterior region. (B) female lip region. (C) vulval region. (D)–(E) female tails. Abbreviations: a = anus; gr = guiding ring; v = vulva. Scale bars = 20 μm
FIGURE 8 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 8 Line drawings of Longidorus pacensis sp. nov. (A) Female neck region. (B) and (C) Female lip regions. (D) and (E) Female tails. (F) Male tail. (G) First-stage juvenile tail
FIGURE 7 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 7 Relationship of body length to length of functional and replacement odontostyle (Ost and rOst, respectively) length in all developmental stages from first-stage juveniles (J1) to mature females of. (A) Longidorus iliturgiensis sp. nov. (B) Longidorus pacensis, sp. nov.
FIGURE 4 Phylogenetic relationships within the genus Longidorus. Bayesian 50 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 4 Phylogenetic relationships within the genus Longidorus. Bayesian 50% majority rule consensus tree as inferred from cytochrome c oxidase subunit I (CoxI) mtDNA gene sequence alignment under the general time-reversible model of sequence evolution with correction for invariable sites and a gammashaped distribution (GTR + I + G). Posterior probabilities greater than 0.70 are given for appropriate clades. Newly obtained sequences in this study are shown in bold. Scale bar = expected changes per site.
FIGURE 6 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 6 Light micrographs of Longidorus iliturgiensis, sp. nov. (A)–(D) Anterior regions. (E) Vulval region. (F)–(I) Female tails. (J)–(M) First-, second-, third-, and fourth-stage juvenile (J1–J4) tails, respectively. (N)–(O) Male tail. Abbreviations: a = anus; af = amphidial fovea; spl = ventromedian supplements; v = vulva. Scale bars (A)–(C), (E)–(O) = 20 μm; (D) = 10 μm
FIGURE 5 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 5 Line drawings of Longidorus iliturgiensis, sp. nov. paratypes. (A) Female neck region. (B) and (C) Female lip regions. (D) and (E) Female tails. (F) Male tail. (G) First-stage juvenile tail
FIGURE 3 Phylogenetic relationships within the genus Longidorus. Bayesian 50 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 3 Phylogenetic relationships within the genus Longidorus. Bayesian 50% majority rule consensus tree as inferred from 18S rRNA gene sequence alignment under a transitional model with invariable sites and a gamma correction (TIM 2 + I + G). Posterior probabilities greater Downloaded than 0.70 from are Brill given.comfor08/29/ appropriate 2023 05:44:51PM clades. Newly obtained sequences in this study are shown in bold. Scale bar = expected changesvia per site free. access
FIGURE 1 Phylogenetic relationships within the genus Longidorus. Bayesian 50 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 1 Phylogenetic relationships within the genus Longidorus. Bayesian 50% majority rule consensus tree as inferred from D2 and D3 expansion domains of 28S rRNA sequence alignment under an SYM model with invariable sites and a gamma-shaped distribution (SYM + I + G). Posterior probabilities greater than 0.70 are given for appropriate clades. Newly obtained sequences in this study are shown in bold. Scale bar = expected changes per site. ** = Branches collapsed, indicating clustered Longidorus species. For a more specific detail of collapsed clades, see supplementary fig. S1.
FIGURE 2 Phylogenetic relationships within the genus Longidorus. Bayesian 50 in Molecular phylogenetic analysis and comparative morphology reveals the diversity and distribution of needle nematodes of the genus Longidorus (Dorylaimida: Longidoridae) from Spain
FIGURE 2 Phylogenetic relationships within the genus Longidorus. Bayesian 50% majority rule consensus tree as inferred from ITS1 rRNA sequence alignment under a 3-parameter model with invariable sites and a gamma-shaped distribution (TPM3 µf + I + G). Posterior probabilities greater than 0.70 are given for appropriate clades. Newly obtained sequences in this study are shown in bold. Scale bar = expected changes per site. Downloaded from Brill.com08/29/2023 05:44:51PM via free access
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.