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12,662 results for “linking”
FIGURE 7 in A systematic study on Endotribelos Grodhaus (Diptera: Chironomidae) from Brazil including DNA barcoding to link males and females
FIGURE 7. Endotribelos fulvidus sp. n. Pupa. a. Cephalic tubercle. b, c. Abdominal tergites with detail of spines of tergite II, hook and conjuntive II/IV. d. Posterolateral spur of abdominal segment VIII.
FIGURE 5 in A systematic study on Endotribelos Grodhaus (Diptera: Chironomidae) from Brazil including DNA barcoding to link males and females
FIGURE 5. Endotribelos fulvidus sp. n. Male. a. Thorax, dorsal view. b. Thorax, lateral view. c. Abdmen dorsal view. d. Hypopygium, left dorsal view, right dorsal view, tergite IX removed and with detail of left superior volsella. e. Superior volsella. f. Fore tibial spine.
FIGURE 13 in A systematic study on Endotribelos Grodhaus (Diptera: Chironomidae) from Brazil including DNA barcoding to link males and females
FIGURE 13. Endotribelos jiboia sp. n. Larva. a. Antenna. b. Dorsal sclerites of head c. Pecten epipharyngis. d. mandible. e. Mentum and ventromental plate.
FIGURE 1. Helonoma peruviana. A–H in DNA links Andean tepui endemic Helonoma peruviana to Hapalorchis (Orchidaceae, Spiranthinae)
FIGURE 1. Helonoma peruviana. A–H, Ecuador: Baquero & Jiménez 022 A. Leaves and peduncle of the inflorescence. B. Raceme from front. C. Raceme from side. D. Flower from side. E. Flower from front. F. Pollinarium from above. G. Labellum from side. H. Column and anther from below. I–J, Peru: Vázquez et al. 37400. I. Pressed plant. J. Close-up of the inflorescence. K–L, Colombia: Ramírez et al. 15.520. K. Pressed plants. L. Close-up of the inflorescence of the right-hand plant.
FIGURE 3 in DNA links Andean tepui endemic Helonoma peruviana to Hapalorchis (Orchidaceae, Spiranthinae)
FIGURE 3. Hapalorchis pumila (Schweinfurth) Garay (1978: 246). Peru: Salazar & Edquén 10256. A. Flowering plant. B. close up of rhizomes and roots. C. Inflorescence. D. Flower, side view. E. Disection of the floral segments. F. Column from below.
PanDDA files from a ligand screen against the NSP3 macrodomain of SARS-CoV-2 - ligands from linking with FRESCO
<p>This deposition contains the X-ray diffraction data used to run PanDDA in the ligand screen against the NSP3 macrodomain of SARS-CoV-2 described in McCorkindale et al. 2022 (https://doi.org/10.1101/2022.11.21.517375).</p> <p>mac1_pandda.zip contains the structure factor intensities, PanDDA input/ouput and refined models/maps. A description of the files can be found in the README file. </p> <p>mac1_ligand-bound_states.zip contains the ligand-bound states extracted from the multi-state PDB files. </p>
Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
<p>Mountain forests are important carbon stocks but are threatened by increased insect outbreaks and climate driven forest conversion. Soil microorganisms play an eminent role in nutrient cycling in forests and form the basis of soil food webs. Uncovering the driving factors shaping microbial communities and functioning at mountainsides worldwide is of importance to better understand their dynamics at local and global scales. We investigated microbial communities and their drivers along an elevational gradient of primary forests at Changbai Mountain, China. We analysed substrate-induced respiration and phospholipid fatty acids (PLFA) in litter and two soil layers at seven sites. In the litter layer the increase in microbial biomass (Cmic) as well as in stress indicator ratios with elevation were negatively correlated with Ca concentrations indicating increased nutritional stress in high microbial biomass communities at sites with lower Ca availability. PLFA profiles in litter separated low and high elevations, this was less pronounced in soil, suggesting that leaflitter functions as buffer for soil microbial communities. Annual variations in temperature correlated with PLFA profiles in all layers, while annual variations in precipitation correlated with PLFA profiles in upper soil only. Furthermore, the availability of resources, soil moisture, Ca concentrations and pH structured the microbial communities. Pronounced changes in Cmic and stress indicator ratios in the litter layer between pine dominated (800 – 1100 m) and spruce dominated (1250 – 1700 m) forests indicated a shift in the structure and functioning of microbial communities between forest types. The study highlights strong changes in microbial community structure and functioning along elevational gradients, but also shows that these changes and their driving factors vary between layers. Besides annual variations in temperature and precipitation, carbon accumulation and nitrogen acquisition shape changes in microbial communities with elevation at Changbai Mountain.</p>
Behavioural syndrome between boldness and aggressiveness and link with reproductive success in a wild bird population
<p>Boldness, defined as the behavioural response of individuals when facing a risky situation, is a major personality trait and often phenotypically correlates with other behavioural traits, in particular aggressiveness, exploration behaviour and neophobia. Yet, whether such links result from among-individual correlations, i.e. form behavioural syndromes sensu stricto, is often ignored and whether such syndromes may yield individual fitness benefits, and thus be selected for, remains poorly explored. We measured boldness as the nest defence behaviour against a dummy nest predator in a natural population of a small passerine bird, the collared flycatcher, <em>Ficedula albicollis</em>, and investigated the existence of a behavioural syndrome between boldness and two other behavioural traits, aggressiveness (measured as the agonistic response to competitors) and neophobia (measured as the behavioural response to a novel object in a known environment). Then we assessed the links between this potential syndrome and reproductive success, measured as fledging and recruitment success. Boldness score differed between the sexes and depended on whether the partner was present during the test. Nevertheless, it was repeatable, showing that boldness can be considered as a personality trait in our population. We found a positive among-individual correlation between boldness and aggressiveness, showing the existence of a behavioural syndrome between both personality traits. This syndrome was related to reproductive success: the number of fledged young (but not recruitment probability) increased with one integrative value of the boldness–aggressiveness syndrome. Conversely, boldness score was not correlated with neophobia. Our results thus clearly reveal a behavioural syndrome between boldness and aggressiveness with possible consequences for reproductive success in the study population, and therefore raise the question of the evolutionary implications of such a behavioural syndrome.</p>
Tough Tables: Carefully Evaluating Entity Linking for Tabular Data
<p>Tough Tables (2T) is a dataset designed to evaluate table annotation approaches in solving the CEA and CTA tasks.<br> The dataset is compliant with the data format used in <a href="https://www.cs.ox.ac.uk/isg/challenges/sem-tab/2019/index.html">SemTab 2019</a>, and it can be used as an additional dataset without any modification. The target knowledge graph is DBpedia 2016-10.<br> Check out the <a href="https://github.com/vcutrona/tough-tables">2T GitHub repository</a> for more details about the dataset generation.</p> <p><strong>New in v3.0:</strong> We release the updated version of 2T! The target knowledge graphs are DBpedia <a href="http://downloads.dbpedia.org/wiki-archive/downloads-2016-10.html">2016-10</a> and Wikidata <a href="https://zenodo.org/record/6643443">20220521</a>. Starting from this version, the dataset is split into valid and test sets.</p> <p>This work is based on the following paper:</p> <blockquote> <p>Cutrona, V., Bianchi, F., Jimenez-Ruiz, E. and Palmonari, M. (2020). Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. ISWC 2020, LNCS 12507, pp. 1–16.</p> </blockquote> <p>Note on License: This dataset includes data from the following sources. Refer to each source for license details:<br> - Wikipedia https://www.wikipedia.org/<br> - DBpedia https://dbpedia.org/<br> - Wikidata https://www.wikidata.org/<br> - SemTab 2019 https://doi.org/10.5281/zenodo.3518539<br> - GeoDatos https://www.geodatos.net<br> - The Pudding https://pudding.cool/<br> - Offices.net https://offices.net/<br> - DATA.GOV https://www.data.gov/</p> <p>THIS DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.<br> <br> <strong>Changelog:</strong></p> <p><em><strong>v3.0</strong></em></p> <ul> <li>Both datasets require SemTab2020 CEA format (tab_id, row_id, col_id, entity). <ul> </ul> </li> <li>Tables IDs and artificial noise values differ from previous versions.</li> <li>Datasets are split into Valid and Test sets of tables.</li> <li>New GT for ToughTables-WD (2T_WD) <ul> <li>Entities Q23772518 and Q7327323 have been removed because they are no longer represented in WD</li> <li>Updated ancestor/descendant hierarchies to evaluate CTA.</li> </ul> </li> <li>Evaluation scripts are provided with the data sets.</li> </ul> <p><em><strong>v2.0</strong></em></p> <ul> <li>New GT for 2T_WD <ul> <li>A few entities have been removed from the CEA GT, because they are no longer represented in WD (e.g., dbr:Devonté points to wd:Q21155080, which does not exist)</li> <li>Tables codes and values differ from the previous version, because of the random noise.</li> <li>Updated ancestor/descendant hierarchies to evaluate CTA.</li> </ul> </li> </ul> <p><em><strong>v1.0</strong></em></p> <ul> <li>New Wikidata version (2T_WD)</li> <li>Fix header for tables CTRL_DBP_MUS_rock_bands_labels.csv and CTRL_DBP_MUS_rock_bands_labels_NOISE2.csv (column 2 was reported with id 1 in target - NOTE: the affected column has been removed from the SemTab2020 evaluation)</li> <li>Remove duplicated entries in tables</li> <li>Remove rows with wrong values (e.g., the Kazakhstan entity has an empty name "''")</li> <li>Many rows and noised columns are shuffled/changed due to the random noise generator algorithm</li> <li>Remove row "Florida","Floorida","New York, NY" from TOUGH_WEB_MISSP_1000_us_cities.csv (and all its NOISE1 variants)</li> <li>Fix header of tables: <ul> <li>CTRL_WIKI_POL_List_of_current_monarchs_of_sovereign_states.csv</li> <li>CTRL_WIKI_POL_List_of_current_monarchs_of_sovereign_states_NOISE2.csv</li> <li>TOUGH_T2D_BUS_29414811_2_4773219892816395776___videogames_developers.csv</li> <li>TOUGH_T2D_BUS_29414811_2_4773219892816395776___videogames_developers_NOISE2.csv</li> </ul> </li> </ul> <p><em><strong>v0.1-pre</strong></em></p> <ul> <li>First submission. It contains only tables, without GT and Targets.</li> </ul>
Climate, caribou and human needs linked by analysis of Indigenous and scientific knowledge
<p><span>Migratory tundra caribou are ecologically and culturally critical in the circumpolar North. However, they are declining almost everywhere in North America, likely due to natural variation exacerbated by climate change and human activities. Yet, the interconnectedness between climate, caribou, and human well-being has received little attention. To address this gap, we bridged</span><span> </span><span>Indigenous and scientific knowledge in a single model, using as an example the Porcupine caribou herd social-ecological system. Our analysis, involving </span><span>688 (fall season) and 616 (spring season) interviews conducted over nine years with 405 (fall season) and 390 (spring season) Indigenous hunters </span><span>from nine communities, demonstrates that </span><span>environmental conditions, </span><span>large-scale temporal changes associated with caribou demography, and cultural practices </span><span>affect hunters' capacity to meet their needs in caribou. </span><span>Our quantitative approach </span><span>bolsters our understanding of the complex relationships between ecosystems and human welfare in environments exposed to rapid climate change and shows </span><span>the benefits of long-term participatory research methods implemented by Indigenous and scientific partners.</span></p>
Candidate gene polymorphisms are linked to dispersive and migratory behaviour: searching for a mechanism behind the "paradox of the great speciators"
<p>The "paradox of the great speciators" has puzzled evolutionary biologists for over half a century. A great speciator requires excellent dispersal <span>propensity</span> to explain <span>its</span> occurrence on multiple islands, but reduced dispersal ability to explain <span>its</span> high number of subspecies. A rapid reduction in dispersal ability is often invoked to solve this apparent paradox, but a proximate mechanism has not been identified yet. Here, we explored the role of six genes linked to migration and animal personality differences (<em>CREB1, CLOCK, ADCYAP1, NPAS2, DRD4, </em>and<em> SERT</em>) in 20 South Pacific populations of silvereye (<em>Zosterops</em> <em>lateralis</em>) that range from highly sedentary to partially migratory, to determine if genetic variation is associated with dispersal propensity and migration. We detected genetic associations in three of the six genes: i) in a partial migrant population, migrant individuals had longer microsatellite alleles at the <em>CLOCK</em> gene compared to resident individuals from the same population; ii) <em>CREB1</em> displayed longer average microsatellite allele lengths in recently colonised island populations (< 200 years), compared to evolutionarily older populations. Bayesian broken stick regression models supported a reduction in <em>CREB1</em> length with time since colonisation; and iii) like <em>CREB1</em>, <em>DRD4</em> showed differences in polymorphisms between recent and old colonisations but a <span>larger</span> sample is needed to confirm. <em>ADCYAP1</em>, <em>SERT</em>, and <em>NPAS2</em> were variable but that variation was not associated with dispersal propensity. The association of genetic variants at three genes with migration <span>and</span> dispersal ability in silvereyes provides the impetus for further exploration of genetic mechanisms underlying dispersal shifts and the prospect of resolving a long-running evolutionary paradox through a genetic lens.</p>
Biomass data to accompany Inter-chromosomal linkage disequilibrium and linked fitness cost loci associated with selection for herbicide resistance
<ul> <li>The adaptation of weeds to herbicide is both a significant problem in agriculture and a model of rapid adaptation. However, significant gaps remain in our knowledge of resistance controlled by many loci and the evolutionary factors that influence the maintenance of resistance.</li> <li>Here, using herbicide-resistant populations of the common morning glory (<em>Ipomoea</em> <em>purpurea</em>), we perform a multi-level analysis of the genome and transcriptome to uncover putative loci involved in nontarget-site herbicide resistance (NTSR) and to examine evolutionary forces underlying the maintenance of resistance in natural populations.</li> <li>We found loci involved in herbicide detoxification and stress sensing to be under selection and confirmed that detoxification is responsible for glyphosate resistance using a functional assay. We identified interchromosomal linkage disequilibrium (ILD) among loci under selection reflecting either historical processes or additive effects leading to the resistance phenotype. We further identified potential fitness cost loci that were strongly linked to resistance alleles, indicating the role of genetic hitchhiking in maintaining the cost.</li> <li>Overall, our work suggests that NTSR glyphosate resistance in<em> I. purpurea</em> is conferred by multiple genes which are potentially maintained through generations <em>via</em> ILD and that the fitness cost associated with resistance in this species is likely a by-product of genetic-hitchhiking.</li> </ul>
Data from: Observed and dark diversity dynamics over millennial time scales: Fast-life history traits linked to expansion lags of plants in northern Europe
<p>Global change drivers (e.g. climate and land use) affect the species and functional traits observed in a local site but also its dark diversity—the set of species and traits locally suitable but absent. Dark diversity links regional and local scales and, over time, reveals taxa under expansion lags by depicting the potential biodiversity that remains suitable but is absent locally. Since global change effects on biodiversity are both spatially and temporally scale dependent, examining long-term temporal dynamics in observed and dark diversity would be relevant to assessing and foreseeing biodiversity change. Here, we used sedimentary pollen data to examine how both taxonomic and functional observed and dark diversity changed over the past 14500 years in northern Europe. We found that taxonomic and functional observed and dark diversity increased over time, especially after the Late Glacial and during the Late Holocene. However, dark diversity dynamics revealed expansion lags related to species' functional characteristics (dispersal limitation and stress intolerance) and an extensive functional redundancy when compared to taxa in observed diversity. We highlight that assessing observed and dark diversity dynamics is a promising tool to examine biodiversity change across spatial scales, its possible causes, and functional consequences.</p>
Single-cell heterogeneity of EGFR and CKD4 co-amplification is linked to immune infiltration in glioblastoma
<p>This upload contains RDS objects of preprocessed publicly available scRNAseq data, required to run scRNAseq analyses in the manuscript "Single cell heterogeneity of EGFR and CDK4 co-amplification is linked to immune infiltration in glioblastoma". The corresponding GitHub repo <a href="https://github.com/Michorlab/GBM_OR_immune">https://github.com/Michorlab/GBM_OR_immune</a> contains code to analyze the data here, as well as plots and tables generated on the basis of this data.</p>
A. Fontana and L. Bellon, Dataset for Phys. Rev. E 107, 034118 (2023) : Linking fluctuation and dissipation in spatially extended out-of-equilibrium systems
<p>In this repository, you can find the data used for the salient plots in the article (10.1103/PhysRevE.107.034118), a script you can use to plot such data and a folder with some functions used in the script. All files are in MATLAB format. </p>
Linked Data Transformation archivischer Metadaten
<p>Die Daten gehören zu einer Masterarbeit mit dem Titel "<a href="https://doi.org/10.18452/27976" target="_blank" rel="noopener">Linked Data Transformation archivischer Metadaten</a>", die im Rahmen des gemeinsamen Studienganges "Digitales Datenmanagement" der Humboldt-Universität zu Berlin und der Fachhochschule Potsdam erstellt wurde.</p> <p>Der Datensatz enthält archivischen Metadaten von zwei Beständen des <a href="https://www.bundesarchiv.de/">Bundesarchivs </a>als XML- und RDF-Dateien. Die XML-Dateien werden vom Bundesarchiv im Format EAD(DDB) öffentlich abrufbar bereitgestellt. Die RDF-Dateien wurden unter Verwendung der Ontologie <a href="https://www.ica.org/standards/RiC/ontology.html">RiC-O</a> im Rahmen der Masterarbeit erzeugt. Das der Transformation zugrunde liegende Mapping zwischen EAD(DDB) und RiC-O ist ebenfalls Bestandteil des Datensatzes. Zusätzlich umfasst der Datensatz je eine maschinenlesbare sowie je eine menschenlesbare Dokumentation der aus XML- und RDF-Dateien bestehenden Datensammlung.</p> <p>Weitere Informationen zu den einzelnen Datensätzen sind in der readme.md enthalten.</p>
Micro-scale spatial preference and temporal cyclicity linked to foraging in harbour porpoises
<p><span>Habitat heterogeneity is a crucial driver for species distribution across scales</span><span>. Harbour porpoise <em>Phocoena phocoena</em> basin-wide distribution is linked to prey availability, and small-scale (kilometres to tens of kilometres) differences in distribution are prevalent. However, information on porpoise distribution and foraging-behaviour variations on a micro-scale (hundred meters to kilometres) is limited. To monitor harbour porpoise distribution and foraging activity on a micro-scale we deployed passive acoustic dataloggers, logging porpoise acoustic activity at six sites in a small, high porpoise-density area in southern Sweden. Data were collected for almost a year, giving detailed time series on porpoise activity. The time series were analysed using dynamic time warping to compare activity patterns between sites.</span><span> La</span><span>rge </span><span>differences were found between sites separated by only a few hundred meters, indicating micro-scale spatial preference. Spectral analysis for temporal cyclicity in activity revealed a dominant peak for 24-hour cycles with higher activity during the night for all sites. All sites also had a second peak for 29.5 days, linked to the lunar cycle with higher activity during the full moon. Activity was overall highest during autumn and winter (September–December). Spatial and temporal patterns were linked to foraging, showing a positive correlation between porpoise presence and the percent of time present with detected foraging. The study demonstrates that harbour porpoise spatial distribution on a micro-scale should be considered in e.g. behavioural, management, and conservation studies and actions. In addition, we show that </span><span>time series statistical methodology, such as dynamic time warping and spectral analysis, are informative and appropriate for analysis of acoustic temporal data. </span></p>
Data from: Balanced mitochondrial function at low temperature is linked to cold adaptation in Drosophila species
<p>Data from: Balanced mitochondrial function at low temperature is linked to cold adaptation in <em>Drosophila</em> species</p>
Data for: Link between glucose metabolism and EMT drives triple negative breast cancer migratory heterogeneity
<p>Intracellular and environmental cues result in heterogeneous cancer cell populations with different metabolic and migratory behaviors. While glucose metabolism and EMT have previously been linked, we aim to understand how this relationship fuels cancer cell migration. We show that while glycolysis drives single-cell migration in confining microtracks, fast and slow cells display different migratory sensitivities to glycolysis and oxidative phosphorylation inhibition. Phenotypic sorting of highly and weakly migratory subpopulations (MDA<sup>+</sup>, MDA<sup>-</sup>) reveals that more mesenchymal, highly migratory MDA<sup>+</sup> preferentially use glycolysis while more epithelial, weakly migratory MDA<sup>-</sup> utilize mitochondrial respiration. These phenotypes are plastic and MDA<sup>+</sup> can be made less glycolytic, mesenchymal, and migratory and MDA<sup>-</sup> can be made more glycolytic, mesenchymal, and migratory via modulation of glucose metabolism or EMT. These findings reveal an intrinsic link between EMT and glucose metabolism that controls migration. Identifying mechanisms fueling phenotypic heterogeneity is essential to develop targeted metastatic therapeutics.</p>
Linking water age, nitrate export regime, and nitrate isotope biogeochemistry in a tile-drained agricultural field
<p>This repository contains the SAS model input data and the model results that can be used to reproduce the water age results for the three study tiles presented in Yu et al. Linking water age, nitrate export regime, and nitrate isotope biogeochemistry in a tile-drained agricultural field</p> <p><strong>File 1: SAS_model_input_TileX.csv</strong></p> <p>The input data for the SAS model calibration for the three tiles.</p> <p><strong>File 2: behavioral_parameter_sets_Model#1_TileX.csv</strong></p> <p>The behavioral parameter sets obtained from the calibration of SAS model 1 (i.e., time-invariant kQ).</p> <p><strong>File 3: behavioral_parameter_sets_Model#2_TileX.csv</strong></p> <p>The behavioral parameter sets obtained from the calibration of SAS model 2 (i.e., time-variant kQ).</p> <p><strong>File 4: Cl_simulation_results_Model#1_TileX.csv</strong></p> <p>Simulated chloride concentration based on the optimal parameter set of SAS model 1 (i.e., time-invariant kQ).</p> <p><strong>File 5: Cl_simulation_results_Model#2_TileX.csv </strong></p> <p>Simulated chloride concentration based on the optimal parameter set of SAS model 2 (i.e., time-variant kQ).</p> <p><strong>File 6: median_water_age_Model#1_TileX.csv</strong></p> <p>Median water age of tile discharge based on the optimal parameter set of SAS model 1 (i.e., time-invariant kQ).</p> <p><strong>File 7: median_water_age_Model#2_TileX.csv</strong></p> <p>Median water age of tile discharge based on the optimal parameter set of SAS model 2 (i.e., time-variant kQ).</p> <p><strong>File 8: File_column_names.txt</strong></p> <p> A text file that explains the column names for each file</p>
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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.