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12,346 results for “derivatives”
Fig 1 in Soluble total antigen derived from Toxoplasma gondii RH strain prevents apoptosis, but induces anti-apoptosis in human monocyte cell line
Fig 1. The comparison of the expression levels of Bcl-2 (A), Mcl-1 (B), Cas-7 (C), Cas-3 (D), and Bax (E) in THP-1 cell line regarding different concentrations of the soluble total antigen of Toxoplasma gondii (Nicolle et Manceaux, 1908) STAg. NS: not significant; * P value <0.05; ** P value <0.01; *** P value <0.001.
Model output from Snow Ensemble Uncertainty Project (SEUP) as used in Seasonal Snow Predictability Derived from Early-Season Snow in North America
<p>The files provided here are the output from the median peak snow water equivalent (peak_SWE.mat), 1 December snow water equivalent (Dec1_SWE.mat), and 1 January snow water equivalent (Jan1_SWE.mat) model simulations for the Noah-MP run with MERRA-2 forcing, as used in Lundquist et al. (2023) and described in Kim et al. (2021). We also include the model grid's latitude, longitude and elevation data (SEUPlatlon.mat), and example code for plotting the data (Plotmodeldata.m) as in the Lundquist et al. (2023) paper. </p> <p>Kim, R. S., Kumar, S., Vuyovich, C., Houser, P., Lundquist, J., Mudryk, L., et al. (2021). Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. <em>The Cryosphere, 15</em>(2), 771-791.</p> <p>Lundquist, J. D., R. S. Kim, M. Durand, and L. R. Prugh, 2023, Seasonal Peak Snow Predictability Derived from Early-Season Snow in North America, Geophysical Research Letters, (submitted 2023)</p>
Nitrogen-15 dynamic nuclear polarization of nicotinamide derivatives in biocompatible solutions
<p>This data corresponds to the following paper:</p> <p>Title: Nitrogen-15 dynamic nuclear polarization of nicotinamide derivatives in biocompatible solutions<br> DOI: 10.1126/sciadv.add3643<br> Journal: Science Advances<br> Authors: Josh P. Peters, Arne Brahms, Vivian Janicaud, Maria Anikeeva, Eva Peschke, Frowin Ellermann, Arianna Ferrari, Dana Hellmold, Janka Held-Feindt, Na-mi Kim, Johannes Meiser, Konrad Aden, Rainer Herges, Jan-Bernd Hövener, Andrey N. Pravdivtsev</p> <p>In the upload the figures 2 - 6 are covered, so all figures from the main manuscript with acquired data.</p> <p> </p> <p>Original abstract for the manuscript:</p> <p>Dissolution dynamic nuclear polarization (dDNP) increases the sensitivity of magnetic resonance imaging by more than 10,000 times enabling <em>in vivo</em> metabolic imaging can be performed non-invasively in real-time. Here, we are developing a group of dDNP polarized tracers based on nicotinamide (NAM). We synthesized 1-<sup>15</sup>N-NAM and 1-<sup>15</sup>N nicotinic acid and hyperpolarized them with dDNP, reaching (13.0±1.9)% <sup>15</sup>N polarization. We found that the lifetime of hyperpolarized 1-<sup>15</sup>N-NAM is strongly field- and pH-dependent, with T<sub>1</sub> being as long as 41 s at a pH of 12 and 1 T while as short as a few seconds at neutral pH and fields below 1 T. The remarkably short 1-<sup>15</sup>N lifetime at low magnetic fields and neutral pH drove us to establish a unique pH neutralization procedure. Using <sup>15</sup>N dDNP and an inexpensive rodent imaging probe designed in-house, we acquired a <sup>15</sup>N MRI of 1-<sup>15</sup>N-NAM (previously hyperpolarized for more than an hour) in less than one second.</p>
CLDF dataset derived from Hruschka et al.'s "Detecting regular sound changes in linguistics as events of concerted evolution" from 2015
<p>Cite the source of the dataset as:</p> <blockquote> <p>Hruschka, D. J., Branford, S., Smith, E. D., Wilkins, J., Meade, A., Pagel, M., & Bhattacharya, T. (2015). Detecting regular sound changes in linguistics as events of concerted evolution. Current Biology, 25(1), 1-9.</p> </blockquote>
A downscaled 0.05-Degree Monthly Solar-Induced Chlorophyll Fluorescence Product derived using AVHRR Data in East Asia (1995-2003)
<p>Downscaling techniques offer the opportunity to utilize coarse-spatial-resolution SIF products for investigating carbon cycles and ecological processes at finer resolutions. Here, we generated a new monthly SIF product, DSIF_EA0.05, at a resolution of 0.05° in East Asia from July 1995 to June 2003. The random forest kriging (RFK) approach was employed, incorporating GOME SIF, AVHRR data, ERA5 climate data, and using the optimal explanatory variables. The unit of SIF is mW m<sup>-2</sup> nm<sup>-1</sup> sr<sup>-1</sup>. The selected variables were daily maximum values of air temperature (T<sub>air</sub>), skin temperature (T<sub>skin</sub>), fraction of absorbed photosynthetically active radiation (fPAR), near-infrared reflectance of vegetation (NIRv), downward shortwave radiation (SR<sub>down</sub>), and precipitation. To verify the reliability of DSIF_EA0.05 and the advantages over original GOME SIF, this dataset has been validated with the original GOME SIF, ground gross primary productivity (GPP) data from eight flux sites, and two other SIF products at 1-degree and 0.05-degree resolutions from SCIAMACHY SIF and downscaled SCIAMACHY SIF datasets.</p>
Strain localization in sandstone-derived fault gouges under conditions relevant to earthquake nucleation
<p>Constraining strain localization and the growth of shear fabrics within brittle fault zones at sub-seismic slip rates are important for understanding fault strength and frictional stability. We conducted direct shear experiments on simulated sandstone-derived fault gouges at an effective normal stress of 40 MPa, pore fluid pressure of 15 MPa, and temperature of 100°C. Using a passive strain marker and X-ray Computed Tomography (XCT), we analyzed the spatial deformation of the gouge samples obtained from the strain-hardening stage to strain-softening stage to steady-state at shearing velocities of 1, 30, and 1000 µm/s. We developed a machine-learning-based automatic boundary detection method to recognize the shear zone fabrics and quantify the slip partitioning between each fabric element. Our results show that R1 and Y (or boundary) shears are the two major shear zone fabrics. At velocities of 1 and 30 µm/s, the relative amount of slip on R1 shears is displacement dependent and increases to ~20% at the strain-softening stage and then decreases to ~10–18% at steady-state. This trend is absent at high velocity with an amount of ~18% through all investigated stages. At all velocities, the relative amount of slip on Y and boundary shears increases linearly with displacement to a total of more than 50% at steady-state. Our study provides constraints for the development of the active slip zone, which is an important input parameter for the heat budget for small-magnitude earthquakes with limited slip (mm-dm), such as those occurring in induced seismicity.</p>
Theory-guided development of homogeneous catalysts for the reduction of CO2 to formate, formaldehyde, and methanol derivatives
<p>The stepwise catalytic reduction of carbon dioxide (CO<sub>2</sub>) to formic acid, formaldehyde, and methanol opens non-fossil pathways to important platform chemicals. The present article aims at identifying molecular control parameters to steer the selectivity to the three distinct reduction levels using organometallic catalysts of earth-abundant first-row metals. A linear scaling relationship was developed to map the intrinsic reactivity of 3d transition metal pincer complexes to their activity and selectivity in CO<sub>2</sub> hydrosilylation. The hydride affinity of the catalysts was used as a descriptor to predict activity/selectivity trends in a composite volcano picture, and the outstanding properties of cobalt complexes bearing bis(phosphino)triazine PNP-type pincer ligands to reach the three reduction levels selectively under different reaction conditions could thus be rationalized. The implications of the composite volcano picture were successfully experimentally validated with selected catalysts, and the challenging intermediate level of formaldehyde could be accessed in over 80% yield with the cobalt complex <strong>6</strong>. The results underpin the potential of tandem computational-experimental approaches to propel catalyst design for CO<sub>2</sub>-based chemical transformations.</p>
A new Approach to derive Productivity of Tropical Forests using Radar Remote
<p>Supplemental material to the publication " A new Approach to derive<br>Productivity of Tropical Forests using Radar Remote Sensing Measurements" in Royal Society Open Science</p><p>Abstract:</p><p>Deriving gross & net primary productivity (GPP & NPP) andcarbon turnover time of forests from remote sensing remainschallenging. This study presents a novel approach to estimateforest productivity by combining radar remote sensingmeasurements, machine learning and an individual-basedforest model. In this study, we analyse the role of differentspatial resolutions on predictions in the context of the RadarBIOMASS mission (by ESA). In our analysis, we use the forestgap model FORMIND in combination with a boostedregression tree (BRT) to explore how spatial biomassdistributions can be used to predict GPP, NPP and carbonturnover time (τ) at different resolutions. We simulatedifferent spatial biomass resolutions (4 ha, 1 ha and 0.04 ha) incombination with different vertical resolutions (20, 10 and 2m). Additionally, we analysed the robustness of this approachand applied it to disturbed and mature forests. Disturbedforests have a strong influence on the predictions which leadsto high correlations (R2> 0.8) at the spatial scale of 4 ha and 1ha. Increased vertical resolution leads generally to betterpredictions for productivity (GPP & NPP). Increasing spatialresolution leads to better predictions for mature forests andlower correlations for disturbed forests. Our results emphasizethe value of the forthcoming BIOMASS satellite missionand highlight the potential of deriving estimates for forestproductivity from information on forest structure. If appliedto more and larger areas, the approach might ultimatelycontribute to a better understanding of forest ecosystems.</p>
Data for "Tropical Cyclone Supercell Response to the Coast using a Climatology of Radar-Derived Azimuthal Shear"
<p>This dataset contains a .csv file published alongside the article entitled "Tropical Cyclone Supercell Response to the Coast using a Climatology of Radar-Derived Azimuthal Shear" for consideration in <em>Geophysical Research Letters</em>.</p>
A list of representative paleogenomic datasets derived from human and faunal remains
<p>A list of 429 paleogenomic datasets derived from human and faunal remains. 417 are derived from representative remains that are dated to <100,000 years ago, whereas 12 are from remains that are >100,000 years old. Group 1: Humans/hominins; Group 2: Non-human animals/fauna.</p>
Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset
<p><strong>Licensing</strong></p> <p>This dataset is adapted from the Group Affect and Performance dataset which is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. <a href="https://creativecommons.org/licenses/by-nc/4.0/">https://creativecommons.org/licenses/by-nc/4.0/</a></p> <p> </p> <p><strong>Description</strong></p> <p>This dataset contains the audio files containing manually annotated cases of overlapped utterances, classified into True Interruptions and False Interruptions. It is derived from the <a href="https://github.com/gmfraser/gap-corpus/tree/master">Group Affect and Performance</a> dataset created by the University of the Fraser Valley, Canada. Original conversation transcripts and audio files have been supplied for context. The Group Affect and Performance dataset provides a rich source of interruptions and overlapped utterances in general, yielding 200 True Interruptions from 355 instances of overlapped utterances in the 14 Group meetings which were annotated.</p> <p> </p> <p><strong>Structure</strong></p> <p>This dataset is structured into three parts:</p> <p>1. data.json contains a list of all instances of overlapped utterances, classified into ‘interruption’ and ‘non-interruption’ corresponding to True and False Interruptions respectively. Each instance is uniquely identified by the Group in which it occurred, the speaker and the starting time of the utterance.</p> <p>2. The 'audio' directory contains the audio of each instance of overlapped utterances corresponding to those found in data.json. The naming convention of the files is as such: ‘Group [group number]: [utterance start time] - [utterance end time].wav’.</p> <p>3. Also included is a copy of the original dataset which includes the full audio and transcript. This allows the full meeting to be heard and any context for interruptions to be evaluated.</p> <p>Note that directories 2. and 3. can be accessed by unzipping audio-and-transcripts.zip.</p> <p> </p> <p><strong>Data Collection Protocol</strong></p> <p>Of paramount importance to our process are the definitions of an overlapped utterance and a True Interruption. A False Interruption is simply an overlapped utterance which is not a True Interruption. These definitions directly impact the dataset; for overlapped utterance it informs which data points are included in our dataset and for True Interruption it informs the classes assigned to each sample.</p> <p>In defining an overlapped utterance, our primary aim is to create an overarching class encompassing interruptions and all instances that could be deemed a True Interruption. For this reason, we omit cases where the timing misplaced speech and early-onset responses.</p> <p>An overlapped utterance is defined as an instance where one interlocutor provides speech or noise during another interlocutor’s speech, creating an overlap that may be deemed a possible interruption when considering its timing alone. For this reason we omit cases of where the timing indicates misplaced speech or early-onset responses.</p> <p>Our definition of True Interruption is an instance where an interrupting party intentionally attempts to take over a turn of the conversation from an interruptee and, in doing so, creates an overlap in speech.</p> <p>As previously mentioned, due to the ‘intent’ part of this definition, we avoid cases of misplaced speech and early-onset responses. The former is enforced by not considering cases of overlapped speech which begin within 300ms of each other since this is an estimate for the average human reaction time of articulating a vowel in response to a speech stimuli. The latter is enforced by not considering speech starting within the last 10% of first utterance in the overlapped speech. Note that this approach fails to filter out all cases of misplaced speech, so we manually remove the remaining instances.</p> <p> </p> <p><strong>Methodology</strong></p> <p>Three main steps were taken to produce this dataset:</p> <p>1. Parsing the transcripts for cases of overlapping speech</p> <p>2. Manually annotating these cases per our protocol and adding them to data.json</p> <p>3. Extracting audio samples from data.json and adding them to the audio folder</p> <p> </p> <p>If you use this dataset, please cite the following paper:</p> <p> </p> <p>Doyle, D.; Şerban, O. Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset. <em>Data</em> <strong>2024</strong>, <em>9</em>, 104. https://doi.org/10.3390/data9090104</p> <p> </p> <p>@article{data9090104,</p> <p>AUTHOR = {Doyle, Daniel and Şerban, Ovidiu},</p> <p>TITLE = {Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset},</p> <p>JOURNAL = {Data},</p> <p>VOLUME = {9},</p> <p>YEAR = {2024},</p> <p>NUMBER = {9},</p> <p>ARTICLE-NUMBER = {104},</p> <p>URL = {https://www.mdpi.com/2306-5729/9/9/104},</p> <p>ISSN = {2306-5729},</p> <p>DOI = {10.3390/data9090104}</p> <p>}</p>
FIGURE 4 Temporal estimates derived from a in Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
FIGURE 4 Temporal estimates derived from a relaxed molecular clock analysis. Divergence times are depicted in the coalescence-based MCC tree. Units of X-axis address Mya and blue bars at nodes indicate the 95% highest posterior density intervals (HPD).
Land cover data (30m) derived from GlobeLand30 for the China region
<p>This collection contains the land cover map (30m) derived from GlobeLand30 used in our study ‘<strong><em>Forestation at the right time with the right species can generate persistent carbon benefits in China</em></strong>’.</p> <p>Original maps were download from http://www.globallandcover.com/. The map was merged in ArcGIS 10.8 for the region of China (70°E-140°E, 15°N-55°N).</p> <p>Reference:<br> C. Jun, Y. Ban, S. Li, Open access to Earth land-cover map. Nature 514, 434–434 (2014). DOI:10.1038/514434c.</p>
Single-cell RNA sequencing of sclerotome-derived fibroblasts in zebrafish
<p>Despite their importance in tissue maintenance and repair, fibroblast diversity and plasticity remain poorly understood. Using single-cell RNA sequencing, we uncover distinct sclerotome-derived fibroblast populations in zebrafish, including progenitor-like perivascular/interstitial fibroblasts, and specialized fibroblasts such as tenocytes. To determine fibroblast plasticity <em>in vivo</em>, we develop a laser-induced tendon ablation and regeneration model. Lineage tracing reveals that laser-ablated tenocytes are quickly regenerated by preexisting fibroblasts. By combining single-cell clonal analysis and live imaging, we demonstrate that perivascular/interstitial fibroblasts actively migrate to the injury site, where they proliferate and give rise to new tenocytes. By contrast, perivascular fibroblast-derived pericytes or specialized fibroblasts, including tenocytes, exhibit no regenerative plasticity. Interestingly, active Hedgehog (Hh) signaling is required for the proliferation of activated fibroblasts to ensure efficient tenocyte regeneration. Together, our work highlights the functional diversity of fibroblasts and establishes perivascular/interstitial fibroblasts as tenocyte progenitors that promote tendon regeneration in a Hh signaling-dependent manner.</p>
Study to Assess Efficacy and Safety of Cx601, Adult Allogeneic Expanded Adipose-derived Stem Cells (eASC) for the Treatment of Complex Perianal Fistula(s) in Participants With Crohn's Disease (CD)
ClinicalTrials.gov study NCT03279081. IPD Sharing: YES. Countries: 15. Publications: 0.
Herbarium-Derived Phenological Data in North America
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Supplementary data for: Comparison of optical flow derivation techniques for retrieving tropospheric winds from satellite image sequences
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CD8+ T cell-derived CD40L mediates non-canonical cytotoxicity in CD40-expressing cancer cells
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Experimental addition of marine-derived nutrients affects wildflower traits in a coastal meta-ecosystem
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Data from: Integrating deep learning derived morphological traits and molecular data for total-evidence phylogenetics: lessons from digitized collections
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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.