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12,662 results for “linking”
Datasets for Linked Open Data Instance Level Analysis for Cultural Heritage
<p>This is the datasets used for Linked Open Data instant level quality analysis for cultural heritage (2020). 7Z and ZIP versions are available for both Excel 2006 and R 4.0.3. The compressed files include, Excel spreadsheets (.xlsx, .csv), VBA scripts (.bas), and R scripts (.r).</p> <p>Please read the full documentation in Linked_Open_Data_Instance_Level_Analysis_Procedure.pdf.</p>
Process Controls on Flood Seasonality in Brazil - link to data and plots
<p>This data set and plots of circular histograms accompany the paper "Process Controls on Flood Seasonality in Brazil" at Geophysical Research Letters (<a href="https://doi.org/10.1029/2021GL096754">https://doi.org/10.1029/2021GL096754</a>). In this paper, we investigate the relationship between the seasonality of floods, maximum annual rainfall, and maximum annual soil moisture data of 886 basins in Brazil for 1980-2015 to shed light on process controls of flood generation.</p>
Defining fatty acids changes linked to rumen development, weaning and growth within Holstein-Friesian heifers
<p>After birth, as effectively monogastric animals, calves undergo substantial physiological changes to become ruminants by 3 months of age and reach sexual maturity at approximately 15 months of age. Herein, we assess longitudinal metabolomic changes in Holstein-Friesian (HF) heifers from birth until sexual maturity during this developmental process. Sera from 20 healthy, HF heifers were sampled biweekly from 2 weeks of age until 13 months of age and then monthly until 19 months of age. Sera were assessed using flow infusion electrospray high resolution mass spectrometry (FIE-HRMS) on a Q Exactive hybrid quadrupole-Orbitrap mass spectrometer for high throughput, sensitive, non-targeted metabolite fingerprinting. Partial least squares-discriminate analysis (PLS-DA) and unsupervised hierarchical clustering analysis (HCA) of the derived metabolomes indicated changes detectable in heifers’ sera over time. Time series analyses identified 30 metabolites that could be related to rumen development and weaning at ~ 3 months of age. Further time series analysis identified 40 metabolites that could be correlated to growth. These findings highlight the role of acetic acid and 3-PP within rumen development and growth, suggest that weaning induces elevated levels of fatty acyls in response to a post-weaning stress induced innate immune response and demonstrate the utilisation of fatty acyls in growth. The identified metabolites offer serum metabolites which could inform the nutrition and healthy development of heifers</p>
Link Compustat – USPTO Patent Assignment Dataset
<p>This page provides the data resulting from linking assignees and assignors in the USPTO Patent Assignment Dataset to Compustat gvkeys. We work with a version of the USPTO PAD that was gracefully shared with us by Stuart Graham. Such version precedes by one year the first release available at the USPTO website (https://www.uspto.gov/ip-policy/economic-research/research-datasets/patent-assignment-dataset). The version that we use covers 5,534,135 transactions recorded at the USPTO between January 1970 and January 2013 (inclusive). While the first transaction date is January 1970, the number of transactions recorded in the initial years is negligible. Data coverage seems sufficient for the years 1981-2012.</p> <p> </p> <p>If you use the code or data, please cite the following two papers:</p> <p> </p> <p>Arque-Castells, P., and Spulber, D. (2022). Measuring the Private and Social Returns to R&D: Unintended Spillovers versus Technology Markets. Journal of Political Economy. <a href="https://doi.org/10.1086/719908">https://doi.org/10.1086/719908</a></p> <p> </p> <p>Arqué Castells, Pere and Spulber, Daniel F., Firm Matching in the Market for Technology: Business Stealing and Business Creation (September 17, 2021). Northwestern Law & Econ Research Paper No. 18-14, Available at SSRN: https://ssrn.com/abstract=3041558 or <a href="http://dx.doi.org/10.2139/ssrn.3041558">http://dx.doi.org/10.2139/ssrn.3041558</a></p> <p> </p>
Applicability of pea ingredients in baked products: links between formulation, reactivity potential and physicochemical properties
<p>This is the data used for the figures and supplementary information in the following publication:</p> <p>Krause, S., Asamoah, E.A., Huc-Mathis, D., Moulin, G., Jakobi, R., Rega, B. & Bonazzi, C. (2022). Applicability of pea ingredients in baked products: links between formulation, reactivity potential and physicochemical properties. Food Chemistry, 132653. DOI: <a href="https://doi.org/10.1016/j.foodchem.2022.132653">10.1016/j.foodchem.2022.132653</a>.</p> <p> </p> <p><strong>Abstract</strong></p> <p>This study aimed to evaluate the applicability of purified pea ingredients (starch and protein isolate) by assessing their potential to form volatile compounds during the different steps of sponge cake development compared to pea flour and wheat flour. While pea flour was highly susceptible to lipid oxidation during batter beating, the combination of purified pea starch and pea protein yielded significantly fewer oxidation markers with known green-beany off-odors. This was due more to the inactivation of lipoxygenase during flour fractionation than to differences in batter structure. However, fractionated ingredients were highly prone to participating in the Maillard reaction and caramelization during baking, leading to a more complex mixture of pyrazines, Strecker aldehydes and furanic compounds with potential malty and roasted notes compared to cakes based on pea flour or wheat flour. These findings confirm that using purified pea fractions can create high-quality products with an attractive composition.</p>
Habitat-linked genetic variation supports microgeographic adaptive divergence in an island-endemic bird species
<p>We present evidence for and investigate potential mechanisms driving habitat-linked genetic divergence within a bird species endemic to a single 250 km<sup>2</sup> island. The island scrub-jay (<em>Aphelocoma insularis</em>) exhibits microgeographic divergence in bill morphology across pine-oak ecotones on Santa Cruz Island, California (USA) similar to adaptive differences described in mainland congeners over much larger geographic scales. To test whether individuals exhibit genetic differentiation related to habitat type and divergence in bill length, we genotyped over 3,000 single nucleotide polymorphisms (SNPs) in 123 adult island scrub-jay males from across Santa Cruz Island using restriction site-associated DNA sequencing (RADseq). Neutral landscape genomic analyses revealed that genome-wide genetic differentiation was primarily related to geographic distance and differences in habitat composition. We also found 168 putatively adaptive loci associated with habitat type using multivariate redundancy analysis (RDA) while controlling for spatial effects. Finally, two genome-wide association analyses revealed a polygenic basis to variation in bill length with multiple loci detected in or near genes known to affect bill morphology in other birds. Our findings support the hypothesis that divergent selection at microgeographic scales can cause adaptive divergence in the presence of ongoing gene flow.</p>
Morphological adaptations linked to flight efficiency and aerial lifestyle determine natal dispersal distance in birds
<p>Natal dispersal—the movement from birthplace to breeding location—is often considered the most significant dispersal event in an animal's lifetime. Natal dispersal distances may be shaped by a variety of intrinsic and extrinsic factors, and remain poorly quantified in most groups, highlighting the need for indices that capture variation in dispersal among species.</p> <p>In birds, it is hypothesized that dispersal distance can be predicted by flight efficiency, which can be estimated using wing morphology. However, the use of morphological indices to predict dispersal remains contentious and the mechanistic links between flight efficiency and natal dispersal are unclear.</p> <p>Here, we use phylogenetic comparative models to test whether hand-wing index (HWI, a morphological proxy for wing aspect ratio) predicts natal dispersal distance across a global sample of 114 bird species. In addition, we assess whether HWI is correlated with flight usage in foraging and daily routines.</p> <p>We find that HWI is a strong predictor of both natal dispersal distance and a more aerial lifestyle.</p> <p>Our results support the use of HWI as a valid proxy for relative natal dispersal distance, and also suggest that evolutionary adaptation to aerial lifestyles is a major factor connecting flight efficiency with patterns of natal dispersal.</p>
Fig. 1 in Formation Of Inter-Species Links In Ungulates In The Azov-Syvash National Nature Park
Fig. 1. Dynamics of quantity of the hoof-animals in the Azov-Syvash National Nature Park in the course of 1928–2018.
Structural basis for Parkinson's Disease-linked LRRK2's binding to microtubules
<p>This dataset includes all of the tabular data used in the figures in the article. Original article is available at: https://doi.org/10.1101/2022.01.21.477284</p> <p>Leucine Rich Repeat Kinase 2 (<em>LRRK2</em>) is one of the most commonly mutated genes in familial Parkinson’s Disease (PD). Under some circumstances, LRRK2 co-localizes with microtubules in cells, an association enhanced by PD mutations. We report a cryo-electron microscopy structure of the catalytic half of LRRK2, containing its kinase, which is in a closed conformation, and GTPase domains, bound to microtubules. We also report a structure of the catalytic half of LRRK1, which is closely related to LRRK2, but is not linked to PD. LRRK1’s structure is similar to LRRK2, but LRRK1 does not interact with microtubules. Guided by these structures, we identify amino acids in LRRK2’s GTPase domain that mediate microtubule binding; mutating them disrupts microtubule binding in vitro and in cells, without affecting LRRK2’s kinase activity. Our results have implications for the design of therapeutic LRRK2 kinase inhibitors.</p>
EvaNIL: silver standard dataset for large-scale NIL entity linking evaluation
<p>The EvaNIL dataset can be used to train or evaluate approaches developed for NIL entity linking. It was built from several Biomedical and Life Sciences corpora:</p> <ul> <li>PubMed DS</li> <li>CRAFT corpus</li> <li>MedMentions</li> </ul> <p>These corpora contain entities associated with knowledge base concepts. To build the EvaNIL dataset, we assumed that those knowledge base concepts did not exist in the respective knowledge bases, so each entity is associated instead with the direct ancestors of those original concepts.</p> <p>The EvaNIL dataset is divided into 6 partitions including annotations from several knowledge bases:</p> <ul> <li>"medic" (CTD-MEDIC)</li> <li>"ctd_anatomy" (CTD-Anatomy)</li> <li>"ctd_chemicals" (CTD-Chemicals)</li> <li>"chebi" (ChEBI)</li> <li>"go_bp" (GO-Biological Process)</li> <li>"hp" (HPO)</li> </ul> <p> </p>
A Database for Reasearch on Detection and Enhancement of Speech transmitted over HF links
<p>We present an open database for the development of detection and enhancement algorithms of speech transmitted over HF radio channels.<br> It consists of audio samples recorded by various receivers at different locations across Europe, all monitoring the same single-sideband modulated transmission from a base station in Paderborn, Germany. Transmitted and received speech signals are precisely time aligned to offer parallel data for supervised training of deep learning based detection and enhancement algorithms.</p>
Data from: Strong links between plant traits and microbial activities but different abiotic drivers in mountain grasslands
<p>This dataset contains data and code that support the results in Weil, S.-S., Martinez-Almoyna, C., Piton, G., Renaud, J., Boulangeat, L., Foulquier, A., ... & Thuiller, W. (2021) Strong links between plant traits and microbial activities but different abiotic drivers in mountain grasslands (accepted in Journal of Biogeography).</p> <p>We used an extensive plant-soil dataset that covers 14 elevational gradients (between 1500 and 2800 m of elevation) distributed over the whole French Alps to analyse the spatial co-dependencies between the plant and soil compartments. We ran a Graphical Lasso that extracts the direct and indirect linkages between plant functional composition, soil microbial activities, and environmental conditions (local climate and soil properties).</p> <p>Our main results are 1) that plant traits are tightly associated with microbial activities, the former being driven by climate and the latter by soil properties; 2) that the dominance of specific plant traits was more important than their diversity to determine plant-soil linkages; and 3) that soil microbes invested strongly in nutrient acquisition in sites with conservative plant traits and reduced organic matter quality.</p>
Tightly linked zonal and meridional sea surface temperature gradients over the past five million years
<p>Climatologies for the climate model simulations performed by Fedorov et al., Nature Geoscience, <a href="https://www.nature.com/articles/ngeo2577">https://www.nature.com/articles/ngeo2577</a>. This table shows how the names of the simulation files provided in this dataset relate to the experiment names provided in Table S2 of Fedorov et al., (2015, Nature Geoscience). Note that experiments 1-26 are from Burls and Fedorov (2014) and published in <a href="https://doi.org/10.5281/zenodo.6762450">https://doi.org/10.5281/zenodo.6762450</a></p> <table> <tbody> <tr> <td><strong>Experiment # in Article (Table S2)</strong></td> <td><strong>Name of Files</strong></td> </tr> <tr> <td>27</td> <td> <p>abrupt2xCO2_T31_gx3v7*.nc</p> </td> </tr> <tr> <td>28</td> <td> <p>abrupt4xCO2_T31_gx3v7*.nc</p> </td> </tr> <tr> <td>29</td> <td> <p>abrupt8xCO2_T31_gx3v7*.nc</p> </td> </tr> <tr> <td>30</td> <td> <p>abrupt16xCO2_T31_gx3v7*.nc</p> </td> </tr> <tr> <td>Extended Exp 11</td> <td>40p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>Extended Exp 16</td> <td>60p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> </tbody> </table> <p>Article abstract:</p> <p>The climate of the tropics and surrounding regions is defined by pronounced zonal (east–west) and meridional (equator to mid-latitudes) gradients in sea surface temperature. These gradients control zonal and meridional atmospheric circulations, and thus the Earth’s climate. Global cooling over the past five million years, since the early Pliocene epoch, was accompanied by the gradual strengthening of these temperature gradients. Here we use records from the Atlantic and Pacific oceans, including a new alkenone palaeotemperature record from the South Pacific, to reconstruct changes in zonal and meridional sea surface temperature gradients since the Pliocene, and assess their connection using a comprehensive climate model. We find that the reconstructed zonal and meridional temperature gradients vary coherently over this time frame, showing a one-to-one relationship between their changes. In our model simulations, we systematically reduce the meridional sea surface temperature gradient by modifying the latitudinal distribution of cloud albedo or atmospheric CO<sub>2</sub> concentration. The simulated zonal temperature gradient in the equatorial Pacific adjusts proportionally. These experiments and idealized modelling indicate that the meridional temperature gradient controls upper-ocean stratification in the tropics, which in turn controls the zonal gradient along the equator, as well as heat export from the tropical oceans. We conclude that this tight linkage between the two sea surface temperature gradients posits a fundamental constraint on both past and future climates.</p>
Systematic analysis of disease-linked rare germline variants reveals new classes of cancer predisposing genes
<ul> <li>GEMs_Liver-HCC: 312 cancer patient-specific genome-scale metabolic models (GEMs) for Liver-HCC reconstructed using the RNA-seq data from PCAWG-TCGA Liver-HCC samples and generic human GEM 'Recon 2M.2'</li> <li>GEMs_Lung-SCC: 493 cancer patient-specific GEMs for Lung-SCC reconstructed using the RNA-Seq data from PCAWG-TCGA Lung-SCC samples and generic human GEM 'Recon 2M.2'</li> </ul> <p>All the patient-specific GEMs were generated using a previously developed method (i.e., tINIT algorithm with a rank-based weight function), which is available at <a href="https://bitbucket.org/kaistmbel/recon-manager">https://bitbucket.org/kaistmbel/recon-manager</a>.</p>
Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma
<p><strong>- melanoma_IMC_data.zip</strong></p> <p>The zip file contains the raw IMC images (in the raw_tiff folder) and corresponding single cell masks (in the mask folder) associated with the paper "Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma". The MCD files by CyTOF IMC were exported to a multi-channel TIFF file including 41 channels, and the order of the channel was provided in the <strong>Melanoma_panel.csv</strong>. </p> <p><strong>- Melanoma_code_data.zip</strong></p> <p>The zip file contains the 4 folders described as follows: </p> <ul> <li>Folder ”data“: the processed data for the result shown in paper<br> - Folder "input": <br> - sc_data.csv: the single cell protein expression data;<br> - Folder "abundance": the cell type abundance files;<br> - Folder "clidata": the response and survival data for 4 melanoma datasets used in the paper; <br> - Folder "hc_result": TME archetypes annotation for each sample/ROI from hierarchical clustering;<br> - Folder "ICB": data for ICB analysis (presented in FigS3);<br> - Folder "meta": panel file for clustering;<br> - Folder "RNAseq_data": the RNAseq data for 4 melanoma datasets used in the paper;<br> - Folder "RNAseq_deconv": the result of cell type deconvolution from bulk RNAseq; <br> - Folder "spatial": data for neighbourhood analysis (presented in Fig3, FigS4).<br> - Folder "output": intermediate result for analysis.</li> <li>Folder "Rscript": R scripts for reproducing results in the paper.<br> - generate_Figs.Rmd: ploting figures presented in the paper;<br> - functions.R: functions used for analysis;<br> - Clustering.Rmd: determining cell types based on marker intensities;<br> - Spatial_analysis.Rmd: neighbourhood analysis to get significant interction/avoidance cell relationships.</li> <li>Folder "Figs": figures presented in paper.</li> <li>Folder "HE_figs": the H&E image and the ROIs distribution for each sample.</li> </ul>
Integrated Statistical Indicators from Scottish Linked Open Government Data
<p>Integrated statistical indicators that were retrieved from the official Scottish data portal in order to facilitate the exploitation of Machine Learning methods in Open Government Data. Data include 60 statistical indicators from seven categories such as health and social care, housing, and crime and justice. The indicators refer to the 6,976 “2011 data zones” of Scotland, while the year of reference is 2015. Data are ready to be used by the research community, students, policy makers, and journalists and give rise to plenty of social, business, and research scenarios that can be solved using Machine Learning technologies and methods.</p>
Fuel Consumption Patterns linked to Evolution of India's PM2.5 Pollution Between 1998 and 2020
<p>These datasets are part of Supplementary information for the journal article<br> "<a href="https://doi.org/10.1039/D2EA00027J">Evolution of India’s PM2.5 Pollution Between 1998 and 2020 Using Global Reanalysis Fields Coupled with Satellite Observations and Fuel Consumption Patterns</a>"</p> <p>Pollution data summaries are listed <a href="https://doi.org/10.5281/zenodo.7115052">here</a>.<br> <a href="https://doi.org/10.5281/zenodo.7115052">https://doi.org/10.5281/zenodo.7115052</a></p> <p>Fuel consumption and activity data over the years is collected from indiastats.<br> Excel files include absolute activity data.<br> Figures are showing the ratio to year 2000 for each of the categories<br> Individual figures are included in the power point for reference and use.<br> Individual figures are also included in the respective excel files</p> <p>Files listed below</p> <ol> <li>coal.consumption.total.xlsx (total coal)</li> <li>electricity.consumption.xlsx (industry, domestic, railways, agriculture, commercial, and total)</li> <li>fuel.consumption.xlsx (LPG, petrol, diesel, kerosene, ATF, others, and petcoke)</li> <li>pass.freight.movement.xlsx (freight as tonne/km and passenger as pass/km)</li> <li>vehicle.registrations.xlsx (2-wheelers+4-wheelers, buses, freight, and all vehicles)</li> </ol>
Data published in manuscript "Highest methane concentrations in an Arctic River linked to local terrestrial inputs"
<p>This data is published in the manuscript:</p> <p>Castro-Morales, K., Canning, A., Arzberger, S., Overholt, W.A., Küsel, K., Kolle, O., Göckede, M., Zimov, N. and Körtzinger, A. (2022). Highest methane concentrations in an Arctic River linked to local terrestrial inputs. <em>Biogeosciences.</em> XX, XXX-XXX. https://doi.org/10.5194/bg-XX-XXX-2022.</p> <p>The data contains the water properties, the dissolved gas concentrations and flux densities at 1-min resolution corresponding to two transects in the Kolyma River main channel and two tributaries (Ambolikha and Leonid). The data was collected between 15 and 17 June, 2019.<strong> </strong></p> <p>This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_CH4_Kolyma_River.txt" provides more details on the data.</p> <p> </p> <p> </p>
The Missing Link Between Black Holes in High-Mass X-ray Binaries and Gravitational-Wave Sources: Observational Selection Effects
<p>Data tables containing the calculated binary parameters used to acquire all results in <a href="https://arxiv.org/abs/2210.01825v1">arXiv:2210.01825v1</a>. The file "xrb_params_illustris_z0.05_sample.csv" contains data for the z<0.05 sampled population and the file xrb_params_illustris_z20_sample.csv contains data for the z<20 sampled population.</p>
MS data linked to the manuscript : DOI: 10.3390/pharmaceutics14030616
<p>Data set containing Extract_E_Chevalieri_EtOAc_DCM .raw file of the LC-MS/MS acquisition.</p>
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.