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.
121
datasets available to search
ShareScore release 0.9.0
Dataset results
121 results for “system identification”
N-of-1 Trial: Actionable Target Identification in Metastatic Cancer for Palliative Systemic Therapy
ClinicalTrials.gov study NCT02142036. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
A Systems Biology Approach for Identification of Host and Microbial Mechanisms and Druggable Targets for the Treatment of PSC-IBD
ClinicalTrials.gov study NCT05376228. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
A Systems Approach to Immunotherapy Biomarker Identification Within the Postoperative Wound-Healing Microenvironment in Patients With Gastroesophageal Cancer
ClinicalTrials.gov study NCT05338060. IPD Sharing: NO. Countries: 1. Publications: 22.
Index of visual monitoring, location, species behavior, and identification of cetaceans from CalCOFI cruises in the California Current System, 2005-2015 (ongoing).
Field observations are carried out to gain understanding of cetacean ecology and habitat. Visual monitoring for cetaceans has been conducted on quarterly CalCOFI cruises since July 2004 using standard line-transect protocol (Burnham et al. 1980;Buckland et al. 1993; Barlow 1995). Visual observers watch during daylight hours, when weather permits (Beaufort sea states 0 to 5 and visibility greater than 1 nautical mile) and while the ship transits between CalCOFI stations.
Dataset used in Paper 1046 of the IFAC World Congress 2020 "Data Quality Assessment for System Identification in the Age of Big Data and Industry 4.0"
<p><br> The data used was obtained from a section of the lead zinc concentrator at the Mount Isa Mines in Queensland, Australia.The data collected for this investigation consists of two months of plant operation, collected at a a frequency of one minute. The historian’s interpolation routine is used to ensure the data is aligned. No special care was used to ensure that the data had any particular characteristics, other than that the plant was running. It was reported that during this period some step tests had been conducted. Forty-three variables were collected: for each of the PID controllers, setpoint, process value and output (SV/PV/MV) were recorded. The three analysers provide measure of iron, lead and zinc percentages.</p>
Data from: An active-radio-frequency-identification system capable of identifying co-locations and social-structure: validation with a wild free-ranging animal
Behavioural events that are important for understanding sociobiology and movement ecology are often rare, transient and localised, but can occur at spatially distant sites e.g. territorial incursions and co-locating individuals. Existing animal tracking technologies, capable of detecting such events, are limited by one or more of: battery life; data resolution; location accuracy; data security; ability to co-locate individuals both spatially and temporally. Technology that at least partly resolves these limitations would be advantageous. European badgers (Meles meles L.), present a challenging test-bed, with extra-group paternity (apparent from genotyping) contradicting established views on rigid group territoriality with little social-group mixing. In a proof of concept study we assess the utility of a fully automated active-radio-frequency-identification (aRFID) system combining badger-borne aRFID-tags with static, wirelessly-networked, aRFID-detector base-stations to record badger co-locations at setts (burrows) and near notional border latrines. We summarise the time badgers spent co-locating within and between social-groups, applying network analysis to provide evidence of co-location based community structure, at both these scales. The aRFID system co-located animals within 31.5 m (adjustable) of base-stations. Efficient radio transmission between aRFIDs and base-stations enables a 20 g tag to last for 2–5 years (depending on transmission interval). Data security was high (data stored off tag), with remote access capability. Badgers spent most co-location time with members of their own social-groups at setts; remaining co-location time was divided evenly between intra- and inter-social-group co-locations near latrines and inter-social-group co-locations at setts. Network analysis showed that 20–100% of tracked badgers engaged in inter-social-group mixing per week, with evidence of trans-border super-groups, that is, badgers frequently transgressed notional territorial borders. aRFID occupies a distinct niche amongst established tracking technologies. We validated the utility of aRFID to identify co-locations, social-structure and inter-group mixing within a wild badger population, leading us to refute the conventional view that badgers (social-groups) are territorial and to question management strategies, for controlling bovine TB, based on this model. Ultimately aRFID proved a versatile system capable of identifying social-structure at the landscape scale, operating for years and suitable for use with a range of species.
Figure 9 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 9 Another loricariids collected in the Uberaba River (dorsal, lateral, and ventral photographs). 1Hypostomus aff. hermanni2Hypostomus fluviatilis3Rineloricaria latirostris4Proloricaria prolixa5Curculionichthys insperatus6Microlepdogaster dimorpha and 7Loricaria lentiginosa (uncataloged). Photographs are of specimens presented in Table 2. Scale bar: 10 mm.
Figure 8 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 8 Loricariidae, genus Hypostomus collected in the Uberaba River (dorsal, lateral, and ventral photographs). 1Hypostomus ancistroides2Hypostomus albopunctatus3Hypostomus strigaticeps4Hypostomus margaritifer5Hypostomus butantanis6Hypostomus regani7Hypostomus aff. paulinus8Hypostomus topavae and 9Hypostomus nigromaculatus, Photographs are of specimens presented in Table 2. Scale bar: 10 mm.
Figure 5 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 5 Species richness along longitudinal gradient in Uberaba River, Upper Paraná River system, Brazil. Circle diameter corresponds to species richness.
Figure 7 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 7 Siluriformes (Loricariidae absent), Gymnotiformes, Cichliformes, Cyprinodontiformes, and Synbrachiformes collected in the Uberaba River. 1Megalechis thoracata2Tatia neivai3Trichomycterus candidus4Trichomycterus brasiliensis5Imparfinis borodini6Rhamdiopsis sp. 7Corydoras difluviatilis8Aspidoras fuscoguttatus9Rhamdia quelen10Pimelodella avanhadavae11Eigenmannia trilineata12Gymnotus sylvius13Gymnotus inaequilabiatus (uncataloged) 14Crenicichla jaguarensis15Crenicichla britskii16Cichla piquiti17Geophagus brasiliensis18Coptodon rendalli19Oreochromis niloticus (uncataloged) 20Cichlasoma paranaense21Phalloceros harpagos (female above and male below) 22Poecillia reticulata (female above and male below) 23Melanorivulus giarettai (male above and female below) and 24Synbranchus marmoratus. Photographs are of specimens presented in Table 2. Scale bar: 10 mm.
Figure 6 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 6 Characiformes collected in the Uberaba River. 1Leporinus amblyrhynchus2Steindachnerina insculpta3Leporinus striatus4Leporinus friderici (uncataloged) 5Leporinus octofasciatus6Hoplerythrinus unitaeniatus7Schizodon nasutus8Prochilodus lineatus9Hoplias intermedius10Hoplias aff. malabaricus11Brycon nattereri12Apareiodon piracicabae13Galeocharax gulo14Apareiodon affinis15Apareiodon ibitiensis16Astyanax lacustris17Astyanax paranae18Astyanax aff. paranae19Parodon nasus20Metynnis lippincottianus21Astyanax aff. fasciatus22Astyanax bockmanni23Bryconamericus turiuba24Myloplus tiete25Hasemania uberaba26Hyphessobrycon uaiso27Oligosarcus pintoi28Knodus aff. moenkhausii29Piabarchus stramineus30Piabina argentea31Serrasalmus maculatus32Crenuchidae (undescribed genus and species) and 33Characidium aff. zebra. Photographs are of specimens presented in Table 2. Scale bar: 10 mm.
Figure 2 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 2 Sampling sites in the Uberaba River, Upper Paraná River system, Brazil. Detailed description of sites in Table 1.
Figure 3 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 3 Species richness for each fish order collected in Uberaba River, Upper Paraná River system, Brazil.
Figure 4 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 4 Species richness of each fish family collected in Uberaba River, Upper Paraná River system, Brazil.
Figure 1 from: Ribeiro DC, Chagas JMA, Thereza MR, Langeani F (2019) Checklist and key for the identification of fish fauna of the Uberaba River, Upper Paraná River system, Brazil. ZooKeys 875: 129-155. https://doi.org/10.3897/zookeys.875.31977
Figure 1 Map of the Uberaba River drainage. A Upper Paraná River system highlighted in the Neotropical region B location of the Uberaba River drainage in the Upper Paraná River system C red triangles showing the sampling sites in the Uberaba River.
TASKS, SYSTEM, METHODS OF CRIMINALISTICS, RELATIONSHIP WITH LEGAL AND OTHER SCIENCES. FORENSIC IDENTIFICATION AND DIAGNOSIS
Open the record for dataset details and reuse information.
Figure 1 from: Sonet G, Jordaens K, Braet Y, Bourguignon L, Dupont E, Backeljau T, de Meyer M, Desmyter S (2013) Utility of GenBank and the Barcode of Life Data Systems (BOLD) for the identification of forensically important Diptera from Belgium and France. ZooKeys 365: 307-328. https://doi.org/10.3897/zookeys.365.6027
Figure 1 - Best matches obtained for each species using five different search procedures:Barcode fragment (642–658 bp) submitted to GenBank (1) and the public records of BOLD (2); barcode fragment submitted to the species level records of BOLD, including early-released sequences (3); barcode fragment and keyword "barcode" submitted to GenBank (4) and longer COI fragment (1412–1534 bp) submitted to GenBank (5). Numbers of haplotypes used as queries are between parentheses. Longer COI fragments were obtained for all species except for Protophormia terraenovae.
Risk Identification of the GlucoTab System in Routine Use
ClinicalTrials.gov study NCT02053077. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study Assessing the Safety and Effectiveness of IC2000 and SPY Fluorescence Imaging Systems (SPY-PHI) in the Visualization of Lymphatic Vessels and Identification of Lymph Nodes During Sentinel Lymp
ClinicalTrials.gov study NCT03200704. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Identification of Sodium Channel Fragments as Serum Biomarkers of a Traumatic Central Nervous System Injury
ClinicalTrials.gov study NCT06532760. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
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.