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39 results for “MSP”
Minneapolis-St. Paul (MSP) Metro Area bee lawn assessments and bumble bee survey, 2023
Eighty residential lawns were recruited across the seven-county Minneapolis-St. Paul Metropolitan Area to take part in a survey of bumble bee species, vegetation and soil characteristics across lawns with differing management regimes. Lawns were selected to capture a range across the urban to rural gradient (based on percent of impervious surface) and household incomes and ethnicity at the Census block group level. Approximately half the lawns were characterized as "traditional" lawns, while half were considered "bee lawns" based on initial plant and bee community data. Three non-residential sites were included in this study: Katharine Ordway Natural History Study Area, The Minnesota Bell Museum of Natural History, the University of St. Thomas Stewardship Garden. The Bombus spp. composition was surveyed NON-LETHALLY at each site twice in the summer, with six endangered rusty-patched bumble bees (Bombus affinis) observed in 2023. Each property was also surveyed for plant species composition and soil moisture. Additional soil and site characteristics will accompany this dataset at a later date. Locations of the lawns are jittered randomly to protect the privacy of participating residents in the study.
Butterfly heavy metal content, wing size, egg count, and brain mass in the Minneapolis-St. Paul (MSP) Metropolitan Area
We collected 26 common species of butterflies across a gradient of lead pollution in the Twin Cities metropolitan area (Minneapolis and St. Paul, MN, USA). We measured their thorax lead concentrations and their body condition including wing area, number of eggs, and brain mass. We also quantified lead in the soil, host plant leaves, and air (through lichen bio-monitors) at sites where the butterflies were collected.
Orthophoto & DEM from drone images, UAV, Aldabra passe dubois msp, Seychelles - 20221024 - 02_27
"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois msp, Seychelles, on 20221024 <br> <br>The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. <br>Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. <br> <br><br>The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved:<br> [ <br> { <br> 'name': 'orthophoto-resolution', <br> 'value': 1 <br> }, <br> { <br> 'name': 'auto-boundary', <br> 'value': true <br> }, <br> { <br> 'name': 'dem-resolution', <br> 'value': '2.0' <br> }, <br> { <br> 'name': 'dsm', <br> 'value': true <br> } <br> ] <br> <br><b>The depot consists of the following elements:</b> <br>- 00_: Image preview panel <br>- DCIM.zip: RAW images from UAV <br>- GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. <br>- METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), <br>- PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... <br> <br><b>Original tree structure:</b> <br>│ └─ 20221024_SYC-aldabra-passe-dubois-MSP_UAV-02_27 <br>│-------- └─ DCIM <br>│-------- └─ GPS <br>│-------- └─ METADATA <br>│-------- └─ PROCESSED_DATA <br> <br> <br><b>Flight survey information:</b> <br>- Camera model and parameters: <br> Make: Hasselblad <br> Model: L1D-20c <br> Width: 5472 <br> Height: 3648 <br> Focal: 28 <br> WhiteBalance: Manual <br> ExposureMode: Auto Exposure <br> ColoSpace: sRGB <br> EV: -0.7 <br> MeteringMode: CenterWeightedAverage <br> Camera Pitch: -75.00 <br> <br>- Survey informations: <br> No Images: 245 <br> Median height: 70 meters <br> Survey area: 14.72 hectares <br> Survey from: 2022:10:24 10:40:53 to: 2022:10:24 10:52:48 <br> "
Reims Trematodes MSP Database V1
<p>MALDI TOF Bruker MSP database for Trematoda.</p> <p>Described in "MALDI-TOF : A new tool for the identification of <em>Schistosoma</em> cercariae and detection of hybrids" (publication pending) and Huguenin, Antoine, et al. 2019. « MALDI-TOF mass spectrometry: a new tool for rapid identification of cercariae (Trematoda, Digenea) ». <em>Parasite</em> 26 (8): 11‑13. <a href="https://doi.org/10.1051/parasite/2019011">https://doi.org/10.1051/parasite/2019011</a>.</p> <p> </p>
Dataset: MSP Recovery, Inc. (LIFWW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: MSP Recovery, Inc. (LIFW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 4 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP
Fig. 4. Phylogenetic tree from maximum likelihood analysis of MSP nucleotide sequences of marine and terrestrial mammal parasitic nematodes including GenBank accession numbers. The percentage of replicate trees in which the associated species clustered together in the bootstrap test (1000 replicates) is shown next to the branches.
Fig. 5 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP
Fig. 5. Phylogenetic tree from maximum likelihood analysis of MSP amino acid sequences of marine and terrestrial mammal parasitic nematodes including GenBank accession numbers. The percentage of replicate trees in which the associated species clustered together in the bootstrap test (1000 replicates) is shown next to the branches. *amino acid sequence translated from EST sequences.
Fig. 3 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP
Fig. 3. Alignment of MSP amino acid sequences of marine and terrestrial mammal parasitic nematodes using the Clustal W method.
Fig. 2 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP
Fig. 2. Alignment of MSP nucleotide sequences of marine and terrestrial mammal parasitic nematodes using the Clustal W method.
Fig. 1 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP
Fig. 1. Anthelmintic treatment pattern, blood sampling time points and corresponding OD values of harbour seals in rehabilitation. Harbour seals (n = 6) were treated twice with ivermectin at arrival (day 1) at the Seal Rehabilitation and Research Centre, Pieterburen, The Netherlands, and 21 days later and once with mebendazole between day 2 and 6. OD values in grey boxes show lungworm-ELISA positive serum samples, those highlighted in blue lungworm-ELISA negative samples. Harbour seal individuals highlighted in dark grey coughed up lungworms one day after arrival. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 6 in Plasmodium relictum MSP-1 capture antigen-based ELISA for detection of avian malaria antibodies in African penguins (Spheniscus demersus)
Fig. 6. Analysis of the sensitivity and specificity of the P. relictum MSP-1 capture antigen-based ELISA. Serial dilutions of normal chicken serum and three sera samples from P. relictum-infected penguins (8776, 8783 and 8784) were used for coating the assay wells. Each dilution was performed in triplicate, and the data shown represent means of three independent experiments with standard error bars and levels of statistical significance (****: P <0.0001).
Fig. 4 in Plasmodium relictum MSP-1 capture antigen-based ELISA for detection of avian malaria antibodies in African penguins (Spheniscus demersus)
Fig. 4. Validation of ELISA. The ELISA developed using P. relictum MSP-1 protein was tested with known P. relictum positive penguin serum collected from penguin # 8790 at week 26. Black column represents positive penguin serum. Hatched and white columns represent negative controls containing normal chicken serum and PBS, respectively. Grey column represents the positive reaction containing streptavidin alkaline-phosphatase and its substrate pnitrophenyl phosphate. Each reaction was performed in triplicate, and the data shown represent means of three independent experiments with standard error bars and levels of statistical significance (****: P <0.0001).
Fig. 2 in Plasmodium relictum MSP-1 capture antigen-based ELISA for detection of avian malaria antibodies in African penguins (Spheniscus demersus)
Fig. 2. Verification of the biotinylation of recombinant P. relictum MSP-1. Purified recombinant P. relictum MSP-1 protein was labeled with biotin. Biotinylation of MSP-1 was confirmed using an enzyme (streptavidin alkaline phosphatase)-linking assay and absorbance read at 405 nm indicated the presence of biotinylated MSP-1. Black column represents biotinylated MSP-1 protein. Hatched column and white column represent negative controls containing non-biotinylated MSP-1 and PBS, respectively. Grey column represents the positive control containing streptavidin alkaline-phosphatase (SAP) and its substrate p-nitrophenyl phosphate (PNPP). Each reaction was performed in triplicate, and the data shown represent means of three independent experiments with standard error bars and levels of statistical significance (****: P <0.0001).
Fig. 3 in Plasmodium relictum MSP-1 capture antigen-based ELISA for detection of avian malaria antibodies in African penguins (Spheniscus demersus)
Fig. 3. Biotin-labeled MSP-1 protein titration curve. Serially diluted (300 ng/ μL to 0.003 ng/μL) biotinylated MSP-1 was used for coating the surfaces of the reaction wells overnight at 4 ◦C. The amount of biotinylated MSP-1 immobilized on the surface of the well was proportional to the intensity of the colored product generated which in turn was proportional to the absorbance value measured at 405 nm wavelength. Reactions were performed in triplicate, and the data shown represent means of three independent experiments with standard error bars.
Fig. 7. MSP-1 in Plasmodium relictum MSP-1 capture antigen-based ELISA for detection of avian malaria antibodies in African penguins (Spheniscus demersus)
Fig. 7. MSP-1 capture antigen-based ELISA analysis of 370 sera samples collected from 11 penguins during three consecutive seasons of Spring (March to May), Summer (June to August) and Fall (September to November). (A) ELISA absorbance readings for the 370 sera samples collected from Spring to Fall are arranged in ascending order. Time of collection is indicated by color. Light grey represents Spring, dark grey represents Summer, and black represents Fall. Black dashed line indicates the single cut-off point (0.488) determined by change-point analysis. (B) Left: percentage of positive (A405 ≥ 0.488) and negative (A405 <0.488) sera samples; Right: distribution of positive samples in Spring (March to May), Summer (June to August), and Fall (September to November). (C) Percentage of penguin sera samples that tested positive (A405> = 0.488) in each month from March to November.
Fig. 5. P. relictum MSP-1 in Plasmodium relictum MSP-1 capture antigen-based ELISA for detection of avian malaria antibodies in African penguins (Spheniscus demersus)
Fig. 5. P. relictum MSP-1 capture antigen-based ELISA analysis of test sera from penguins. Sera samples (370 total) from eleven penguins collected from Spring through Fall season were used as test samples in the assay to determine anti-P. relictum antibodies level. Light grey, dark grey, and black columns represent penguin sera samples collected in Spring, Summer, and Fall, respectively. Panel A–K represents ELISA results for individual penguins' sera collected at different time points from Spring to Fall. Panel L represents average ELISA absorbances for all 11 penguins at different sampling points. Each sample was assayed in triplicate, and the data shown represent means of three independent experiments with standard error bars.
Małopolska - MSP - digitalizacja
<p>Information about small and medium-sized enterprises from Maloposka region. </p> <p>References: </p> <p>https://app.dnbhoovers.com</p>
MeerTime MSP Census
<p>Data table and PSRFITS-format files associated with Spiewak et al. 2022, "The MeerTime Pulsar Timing Array -- A Census of Emission Properties and Timing Potential" (doi:10.1017/pasa.2022.19). The zipped tar file contains one PSRFITS-format file per pulsar, containing a profile, summed from multiple observations with varying lengths, with 1024 phase bins across the profile, 1 subintegration, 8 frequency channels across the 775.75-MHz band, and 4 polarization channels (with the up-to-date rotation measures and dispersion measures in the headers). </p> <p>The columns in the data table (in csv format) are as follows: <br> PSRJ : the pulsar name (J2000)<br> PTA_SCR : boolean indicating whether the pulsar is part of the MPTA<br> REF_SH : short form of the reference (psrcat-style)<br> GL, GB : Galactic longitude and latitude<br> P0, P1 : pulse period and period derivative in (s) and (s/s), respectively<br> DM, DM_ERR, DMEPOCH : the dispersion measure of a single epoch, with 1-sigma uncertainty, and the MJD for that epoch<br> RM, RM_ERR : the rotation measure, as described in the paper, with uncertainty<br> RM_SNG : boolean indicating whether the RM was measured from the summed archive (True indicates the RM_ERR is the 1-sigma uncertainty from `rmfit` and False indicates the RM_ERR is the standard deviation of all measured RMs after outlier removal)<br> L_FRAC, L_FRAC_ERR : the fractional linear polarization and uncertainty<br> V_FRAC, V_FRAC_ERR : the fractional circular polarization and uncertainty<br> ABS_V_FRAC, ABS_V_FRAC_ERR : the fractional absolute circular polarization (from `psrchive`) and uncertainty<br> TOA_ERR_NEW : the median ToA uncertainty, as described in the paper<br> SPIND, SPIND_ERR : the spectral index from a power law fit to the flux density per band and uncertainty<br> NOBS : number of unique observations of the pulsar included in this analysis<br> S1400, S1400_ERR : the flux density at 1400 MHz from a power law fit to the flux density per band, and uncertainty<br> FLUX_n_VAL, FLUX_n_ERR, FLUX_n_FRQ : flux density information per frequency band (n=0-7), the mean value, the formal error on the mean, and the mean frequency of the band</p> html, body, table, thead, input, textarea, select {color: #bab5ab!important; background: #35393b;} input[type="text"], textarea, select {color: #bab5ab!important; background: #35393b;} [data-darksite-inline-background-image-gradient] {background: linear-gradient(rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0.5))!important; -webkit-background-size: cover!important; -moz-background-size: cover!important; -o-background-size: cover!important; background-size: cover!important;} [data-darksite-force-inline-background] * {background-color: rgba(0,0,0,0.7)!important;} [data-darksite-inline-background] {background-color: rgba(0,0,0,0.7)!important;} [data-darksite-inline-color] {color: #fff!important;} [data-darksite-inline-background-image] {background-image: linear-gradient(rgba(0,0,0,0.3), rgba(0,0,0,0.3))!important}
Efficacy and Safety of Intranasal MSP-2017 (Etripamil) for the Conversion of PSVT to Sinus Rhythm
ClinicalTrials.gov study NCT02296190. IPD Sharing: NO. Countries: 2. Publications: 1.
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DANDI Archive for NWB datasets
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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.