Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
145
datasets available to search
ShareScore release 0.7.1
Dataset results
145 results for “System Characterization”
Chemical composition of main agricultural plastics articles used for protected cultivation systems: additive characterization
<p>The folder includes chromatographic and mass spectrometry data of the characterization of additives in agricultural plastics, including mulch films (coded as M), mulch fabrics (coded as C and GT), ropes (coded as R), irrigation tapes (coded as I), seed coatings (coded as O), feed sack (coded as K), bale knitted nets and silage nets (coded as S4), biodegradable shelters (coded as SH), ropes & twines for crop production (coded as R), plant tunnels (coded as L), fertilizers sacks (coded as K), silage film /coded as S1). Conventional polymers including polyethylene (PE), polypropylene (PP), and biodegradable polymers (BIO) have been analyzed.</p> <p> </p> <p> </p>
Data for Characterizing the spatial signal of environmental DNA in river systems using a community ecology approach
<p>Environmental DNA (eDNA) is gaining a growing popularity among scientists but its applicability to biodiversity research and management remains limited in river systems by the lack of knowledge about the spatial extent of the downstream transport of eDNA.</p> <p>Here, we assessed the ability of eDNA inventories to retrieve spatial patterns of fish assemblages along two large and species rich Neotropical rivers. We first examined overall community variation with distance through the distance decay of similarity and compared this pattern to capture-based samples. We then considered previous knowledge on individual species distributions, and compared it to the eDNA inventories for a set of 53 species.</p> <p>eDNA collected from 28 sites in the Maroni and 25 sites in the Oyapock rivers permitted to retrieve a decline of species similarity with distance between sites. The distance decay of similarity derived from eDN<span>A </span>was similar, and even more pronounced, than that obtained with capture-based methods (gil-nets). In addition, the species upstream-downstream distribution range derived from eDNA matched to the known distribution of most species.</p> <p>Our results demonstrate that environmental DNA does not represent an integrative measure of biodiversity across the whole upstream river basin but provide a relevant picture of local fish assemblages. Importantly, the spatial signal gathered from eDNA was therefore comparable to that gathered with local capture based methods, which describes fish fauna over a few hundred metres.</p>
Dataset: Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography
<p>The ptychography datasets and processed wavefront data in support of the publication "Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography". File are in the HDF format and contain a number of datasets detailed below. If you require more information, please contact the corresponding author of the publication or thomas.moxham@eng.ox.ac.uk</p>
Isogeochemical characterization of mountain system recharge processes in the Sierra Nevada, California
<p>Mountain System Recharge processes are significant natural recharge pathways in many arid and semi-arid mountainous regions. However, Mountain System Recharge processes are often poorly understood and characterized in hydrologic models. Mountains are the primary water supply source to valley aquifers via lateral groundwater flow from the mountain block (Mountain Block Recharge) and focused recharge from mountain streams contributing to focused Mountain Front Recharge at the piedmont zone. Here, we present a multi-tool isogeochemical approach to characterize mountain flow paths and Mountain System Recharge in the northern Tulare Basin, California. We used groundwater chemistry data to delineate hydrochemical facies and explain the chemical evolution of groundwater from the Sierra Nevada to the Central Valley aquifer. Stable isotopes and radiogenic groundwater tracers validated Mountain System Recharge processes by differentiating focused from diffuse recharge, and estimating apparent groundwater age, respectively. Novel application of End-Member Mixing Analysis (EMMA) using conservative chemical components revealed three Mountain System Recharge end-members: (1) evaporated Ca-HCO<sub>3</sub> water type associated with focused Mountain Front Recharge, (2) non-evaporated Ca-HCO<sub>3</sub> and Na-HCO<sub>3</sub> water types with short residence times associated with shallow Mountain Block Recharge, and (3) Na-HCO<sub>3</sub> groundwater type with long residence time associated with deep Mountain Block Recharge. We quantified the contribution of each Mountain System Recharge process to the valley aquifer by calculating mixing ratios. Our results show that deep Mountain Block Recharge is a significant recharge component, representing 31 to 53 % of the valley groundwater. Greater hydraulic connectivity between the Sierra Nevada and Central Valley has significant implications for parameterizing groundwater flow models. Our framework is useful for understanding Mountain System Recharge processes in other snow-dominated mountain watersheds.</p>
Thermodynamic characterization of the (H2 + C3H8) system significant for the hydrogen economy: Experimental (p, rho, T) determination and equation of-state modelling
<p>File: 2023_IJHE_Manuscript_repository.docx</p> <p>This is an author-created, un-copyedited version of an article accepted for publication in the International Journal of Hydrogen Energy (2023, 48 (23), 8645-8667). The editor of the Journal is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated, Open-Access version is available online at: https://doi.org/10.1016/j.ijhydene.2022.11.170<br><br>File: 2023_IJHE_Results_Repository.xlsx</p> <p>This is the MS Excel data file of the paper. </p> <p> </p> <p> </p>
Shutting Down Shigella Secretion: Characterizing Small Molecule Type Three Secretion System ATPase Inhibitors
<p>Spa47 inhibition data from "Shutting Down <em>Shigella</em> Secretion: Characterizing Small Molecule Type Three Secretion System ATPase Inhibitors".</p>
High-resolution spectral characterization of YSES 1 system with VLT/CRIRES+
<p>This repository contains the extracted spectra of YSES 1 and its super-Jovian companions b and c observed with the high-resolution spectrograph VLT/CRIRES+ (R~100,000). The paper from <a href="https://doi.org/10.3847/1538-3881/ad7ea9">Zhang et al. (2024)</a> provides more details of the data analyses. </p>
IntelliMan_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.1_Data Fusion and Sensing Technology_characterization of sensing system for grippers_v0
<p><span>The dataset contain the data acquired from the multi-sensorized fingers developed in T5.1 and integrated into grippers used in IntelliMan UC3 and UC4. The data contain tactile data, proximity data and endoscopic camera data for the evaluation of sensor performance with respect to IntelliMan use cases requirements.</span></p>
A Study to Characterize the Pharmacokinetics, Pharmacodynamics, and Safety of Anifrolumab in Adult Type I Interferon Test High Systemic Lupus Erythematosus Subject With Active Skin Manifestations
ClinicalTrials.gov study NCT02962960. IPD Sharing: NO. Countries: 4. Publications: 1.
An Open-label Extension Study of Canakinumab in Patients With Systemic Juvenile Idiopathic Arthritis and Active Systemic Manifestations Manifestations and Response Characterization Study in Canakinuma
ClinicalTrials.gov study NCT00891046. IPD Sharing: Not stated. Countries: 21. Publications: 2.
Isogeochemical characterization of mountain system recharge processes in the Sierra Nevada, California
Open the record for dataset details and reuse information.
Multimodal mucosal and systemic immune characterization of a non-human primate trachoma model highlights the critical role of local immunity during acute phase disease
Open the record for dataset details and reuse information.
Data for Characterizing the spatial signal of environmental DNA in river systems using a community ecology approach
Open the record for dataset details and reuse information.
Aerogeophysical characterization of an active subglacial lake system in the David Glacier catchment, Antarctica
<p>Profile based data products derived from radar observations and surface laser altimetry of the David Glacier.</p> <p>Data includes:</p> <p>Surface elevation (both radar and laser altimetry)</p> <p>Bed elevation</p> <p>Ice thickness</p> <p>Surface echo strength</p> <p>Basal echo strength</p> <p>Specularity content</p>
Stability Constrained Characterization of Multiplanet Systems
<p>REBOUND simulation archives of initial conditions used in Tamayo, Gilbertson and Foreman-Mackey (2020)</p>
Data from: De novo transcriptome assembly for the lobster Homarus americanus and characterization of differential gene expression across nervous system tissues
Background: The American lobster, Homarus americanus, is an important species as an economically valuable fishery, a key member in marine ecosystems, and a well-studied model for central pattern generation, the neural networks that control rhythmic motor patterns. Despite multi-faceted scientific interest in this species, currently our genetic resources for the lobster are limited. In this study, we de novo assemble a transcriptome for Homarus americanus using central nervous system (CNS), muscle, and hybrid neurosecretory tissues and compare gene expression across these tissue types. In particular, we focus our analysis on genes relevant to central pattern generation and the identity of the neurons in a neural network, which is defined by combinations of genes distinguishing the neuronal behavior and phenotype, including ion channels, neurotransmitters, neuromodulators, receptors, transcription factors, and other gene products. Results: Using samples from the central nervous system (brain, abdominal ganglia), abdominal muscle, and heart (cardiac ganglia, pericardial organs, muscle), we used RNA-Seq to characterize gene expression patterns across tissues types. We also compared control tissues with those challenged with the neuropeptide proctolin in vivo. Our transcriptome generated 34,813 transcripts with known protein annotations. Of these, 5,000-10,000 of annotated transcripts were significantly differentially expressed (DE) across tissue types. We found 421 transcripts for ion channels and identified receptors and/or proteins for over 20 different neurotransmitters and neuromodulators. Results indicated tissue-specific expression of select neuromodulator (allostatin, myomodulin, octopamine, nitric oxide) and neurotransmitter (glutamate, acetylcholine) pathways. We also identify differential expression of ion channel families, including kainite family glutamate receptors, inward-rectifying K+ (IRK) channels, and transient receptor potential (TRP) A family channels, across central pattern generating tissues. Conclusions: Our transcriptome-wide profiles of the rhythmic pattern generating abdominal and cardiac nervous systems in Homarus americanus reveal candidates for neuronal features that drive the production of motor output in these systems.
Data and Codes of Characterizing Uncertainties of Earth System Modeling with Heterogeneous Many-core Architecture Computing
<p>These are the supporting information to verify the results in the paper, including input data, model outputs, the postprocessing scripts and the source codes.</p>
Characterizing Inter-Annual/Seasonal Dust Deposition and Removal on Mars Using Thermal Emission Imaging System (THEMIS) Infrared Data
<p>Included in the zipped data file are two subfolders that contain the following:</p> <ol> <li>KRC thermal model look up table data used in the work</li> <li>Data for figures within the paper</li> </ol> <p>Each subfolder includes a text file with helpful information for interpreting the data.</p>
Data: Characterization of Overparameterization in Simulation of Realistic Quantum Systems
<p>Raw data, figures, plot settings, and simulation settings for "Characterization of Overparameterization in Simulation of Realistic Quantum Systems" Phys. Rev. A 109, 062607 (2024) <a href="https://doi.org/10.1103/PhysRevA.109.062607">https://doi.org/10.1103/PhysRevA.109.062607</a></p>
Data and script for "Characterizing Wet Season Precipitation in the Central Amazon Using a Mesoscale Convective System Tracking Algorithm"
<p>This is a placeholder for Data and script for "<strong>Characterizing Wet Season Precipitation in the Central Amazon Using a Mesoscale Convective System Tracking Algorithm</strong>" submitted to JGR-atmosphere.</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.