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292 results for “docks”
Dataset: Great Lakes Dredge & Dock Corporation (GLDD) 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.
Figure 8 in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 8. Representation of complex isosurface (A, C, and E) and 2D interactions within the enzyme active site (B, D, and F): AG/5TIQ (A, B); AE/5TIQ (C, D); PU/5TIQ (E, F).
Figure 7 in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 7. Representation of complex ribbons (A, C, and E) and 2D interactions within the enzyme active site (B, D, and F): AG/5TIQ (A, B); AE/5TIQ (C, D); PU/5TIQ (E, F).
Figure 4 in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 4. Spectra of 1H-NMR (A) and J-resolved 1H-1H (B) expanded on the region of aromatic signals of the acetanolic subfraction - washing water - acids (88.82%) of L. pacari obtained in methanol-d4.
Figure 3 in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 3. (A) Scores of PCA (71.5% PC1 and 21.3% PC2) of 6 subfractions obtained from the ethanolic extract of L. pacari classified by (RT%) activity of each subfraction. (B) Loadings from PC1 (71.5%) with NMR signals discriminating between subfractions.
Figure 5. Spectrum region HSQC 1H-13C in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 5. Spectrum region HSQC 1H-13C (A) and HMBC 1H-13C (B) with region of aromatics compounds of the acid wash water acetate subfraction (88.83%) of L. pacari obtained in methanol-d4.
Figure 2 in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 2. Scores of PCA of obtained subfractions from the ethanolic extract of L.pacari classified by the (RT%) activity of each subfraction.
Figure 1 in Molecular docking studies and evaluation of the antiretroviral activity and cytotoxicity of the species Lafoensia pacari Saint-Hilaire
Figure 1. Profile of 1H-NMR spectra of subfractions obtained from the ethanolic extract of L. pacari classified by (RT%) activity of each subfraction.
Figure 2 in Assessment of melatonin-alpha adrenergic receptor complexes by molecular docking analysis
Figure 2. Two-dimensional schematic diagrams of the intermolecular interactions in the complexes between ligand melatonin and alpha-2A adrenergic receptor 6kux (A) and 6kuy (B). The ligand melatonin is positioned in the center of the diagrams and its nitrogen, oxygen and carbon atoms are indicated in blue, red and black spheres, respectively, connected to each other by solid blue lines. The amino acids Asp113 and Ser204 of the active binding sites of the receptor proteins are indicated by nitrogen, oxygen and carbon atoms represented as blue, red and black spheres, respectively, connected to each other by solid yellow lines. Hydrogen bonding interactions in the ligand-receptor complexes are represented in green dashed lines with their respective distances in angstroms Å. Hydrophobic contacts are represented in red arcs with spokes radiating towards the ligand atoms they contact, and the contacted atoms are shown with spokes radiating back.
Figure 1 in Assessment of melatonin-alpha adrenergic receptor complexes by molecular docking analysis
Figure 1. Molecular docking interactions of the ligand melatonin (in green) in the active binding sites of the adrenoceptors visualized from UCSF Chimera1.15. Tridimensional structures of the adrenergic receptors 6kux in purple (A) and 6kuy in pink (B).
An exploration of human γD-crystallin affinity for potential aggregation inhibitors: A molecular docking investigation
<p><span>These files contain the supplementary material to the article “An exploration of human γD-crystallin affinity for potential aggregation inhibitors: A molecular docking investigation” and the molecular docking simulation data.</span></p> <p><span>In this study, we performed a comparative molecular docking analysis of several experimentally investigated molecules of natural origin, that might protect γ-crystallins from destabilization and aggregation. Our specific protein targets are wild-type human γD-crystallin, and its mutant P23T γD-crystallin, associated with congenital cataract. Thirteen phytochemicals were investigated as potential inhibitors of γD-crystallin aggregation, and we compared their binding energies with those of lanosterol, an ingredient present in over-the-counter eye products, to prevent cataracts. We performed a detailed comparative molecular docking analysis and we found that the binding energies of lanosterol outcompete those of all the other investigated potential natural inhibitors.</span></p>
Hull Springs Dock YSI Station 2021-06-09 to 2021-07-15
<pre># General Metadata for Hull Springs Dock-YSI Sampling Station ## Files Specific metadata for each deployment can be found as text files with the file format of: HS_YSI_YYYY-MM-DD_metadata.txt Where YYYY-MM-DD is the date that the sampling period ended. NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. ## File Created * 2021-07-14 by KF ## File Modified ## Description These data are from the YSI EXO3 sampling station in Aimes Creek near the lab dock (38.125367, -76.659537). All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/ ## Station Specifics The sensors are sampled every 15 minutes ### Measurements Parameters, units, and Variable Names * date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * date - the date that the record was collected ( * time - the time that the record was collected ( * site_name - the ID name provided by the KOR software. * unit_ID - the sonde identification number. * user_ID - the user that created the sampling template. * Temp_dC - the water temperature in degrees C. * DO_perc - the dissolved oxygen percent saturation (%). * DO_percL - the "local" dissolved oxygen percent saturation where the calibration is locally always 100% saturated independent of the barometric pressure (%). * DO_mg-L - the concentration of dissolved oxygen (mg/L). * SPC_uS-cm - the specific conductance (uS/cm). * C_uS-cm - the conductivity (uS/cm). * nLFC_uS-cm * TDS_mg-L - the total dissolved solids (mg/L). * SAL_PSU - the salinity of the water (PSU). * pH - the pH of the water. * pH_mV - the millivolt measurement of the pH meter (mV). * FNU - the turbidity of the water (FNU). * TSS_mg-L - the total suspended solids (mg/L). * BGA_PC_RFU - the phycocyanin fluorescence level which is an indicator of blue-green algae (RFU). * BGC_PC_ug-L - the concentration of phycocyanin in the water, which is an indicator of blue-green algae (ug/L). * Chl_RFU - the chlorophyll fluorescence level, which is an indicator of phytoplankton biomass (RFU). * Chl_ug-L - the concentration of chlorophyll in the water, which is an indicator of phytoplankton biomass (ug/L). * fDOM_RFU - the fluorescent DOM fluorescence level (RFU). * fDOM_QSU - the standardized fluorescent DOM concentration (QSU). * Wiper_V - the voltage output of the wiper (V). * Cabel_V - the voltage output of the cable (V). * Batt_V - the voltage output of the internal batteries (V).</pre>
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
Dataset on UAV High-resolution Images from Grassland with Broad-leaved Dock (Rumex Obtusifolius)
<p>The dataset consists of orthophotos (build from UAV images) from a grassland field in which several <em>Rumex obtusifolius</em> plants were detected. The field is located in Germany (Kleve). The UAV images were acquired at 10, 15, and 30 meters height. Moreover, the labels/annotations from the <em>Rumex obtusifolius</em> plants in the images are also provided. </p>
Hull Springs Dock YSI Station 2021-07-15 to 2021-08-15
<p>General Metadata for Hull Springs Dock-YSI Sampling Station</p> <p>Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <pre><code>HS_YSI_YYYY-MM-DD_metadata.txt HS_dock_pressure_trans_YYYY-MM-DD_metadata.txt</code></pre> <p>Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning.</p> <p>File Created</p> <ul> <li>2021-07-14 by KF</li> </ul> <p>File Modified</p> <ul> <li>2021-07-22 by KF - added metadata for pressure transducer</li> </ul> <p>Description</p> <p>These data are from the sampling station in Aimes Creek on the Camp House dock (38.125367, -76.659537).</p> <pre><code>* Physical and chemical water data are collected with a YSI EXO2 sonde. * Temperature (dC) and Pressure (KPa) are collected with an Onset HOBO U20-001-01-Ti Water Level Logger</code></pre> <p>All data are CC-BY and should be cited using the DOI available at <a href="https://zenodo.org/communities/leo/">https://zenodo.org/communities/leo/</a></p> <p>Station Specifics</p> <p>The sensors are sampled every 15 minutes</p> <p>Measurements Parameters, units, and Variable Names</p> <ul> <li>date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS)</li> <li>date.time.adj - the date and time that the pressure was measured adjusted to match the time that barometric pressure was collected. (YYYY-MM-DD HH:MM:SS)</li> <li>observation - the number of the observation.</li> <li>timestamp - the date and time as reported by the data logger (MM/DD/YY HH:MM:SS AM/PM)</li> <li>date - the date that the record was collected (MM/DD/YYYY)</li> <li>time - the time that the record was collected (HH:MM:SS)</li> <li>site_name - the ID name provided by the KOR software.</li> <li>unit_ID - the sonde identification number.</li> <li>user_ID - the user that created the sampling template.</li> <li>Temp_dC - the water temperature in degrees C.</li> <li>DO_perc - the dissolved oxygen percent saturation (%).</li> <li>DO_percL - the "local" dissolved oxygen percent saturation where the calibration is locally always 100% saturated independent of the barometric pressure (%).</li> <li>DO_mg-L - the concentration of dissolved oxygen (mg/L).</li> <li>SPC_uS-cm - the specific conductance (uS/cm).</li> <li>C_uS-cm - the conductivity (uS/cm).</li> <li>nLFC_uS-cm</li> <li>TDS_mg-L - the total dissolved solids (mg/L).</li> <li>SAL_PSU - the salinity of the water (PSU).</li> <li>pH - the pH of the water.</li> <li>pH_mV - the millivolt measurement of the pH meter (mV).</li> <li>FNU - the turbidity of the water (FNU).</li> <li>TSS_mg-L - the total suspended solids (mg/L).</li> <li>BGA_PC_RFU - the phycocyanin fluorescence level which is an indicator of blue-green algae (RFU).</li> <li>BGC_PC_ug-L - the concentration of phycocyanin in the water, which is an indicator of blue-green algae (ug/L).</li> <li>Chl_RFU - the chlorophyll fluorescence level, which is an indicator of phytoplankton biomass (RFU).</li> <li>Chl_ug-L - the concentration of chlorophyll in the water, which is an indicator of phytoplankton biomass (ug/L).</li> <li>fDOM_RFU - the fluorescent DOM fluorescence level (RFU).</li> <li>fDOM_QSU - the standardized fluorescent DOM concentration (QSU).</li> <li>Wiper_V - the voltage output of the wiper (V).</li> <li>Cabel_V - the voltage output of the cable (V).</li> <li>Batt_V - the voltage output of the internal batteries (V).</li> <li>Pressure - the pressure of the water above the pressure transducer (KPa)</li> <li>Temp - the water temperature reported by the pressure transducer (dC)</li> <li>press_mmHg - the pressure of the water above the pressure transducer (mm Hg)</li> <li>BP_mmHg - the barometric pressure recorded by the weather station at the Yellow House (mm Hg)</li> <li>Z_press_trans - the depth of the water above the pressure transducer (cm)</li> <li>Z - the depth of the water above the sediments (cm)</li> </ul>
Hull Springs Dock YSI Station 2021-08-15 to 2021-09-18
<p>General Metadata for Hull Springs Dock-YSI Sampling Station</p> <p>Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <pre><code>HS_YSI_YYYY-MM-DD_metadata.txt HS_dock_pressure_trans_YYYY-MM-DD_metadata.txt</code></pre> <p>Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning.</p> <p>File Created</p> <ul> <li>2021-07-14 by KF</li> </ul> <p>File Modified</p> <ul> <li>2021-07-22 by KF - added metadata for pressure transducer</li> </ul> <p>Description</p> <p>These data are from the sampling station in Aimes Creek on the Camp House dock (38.125367, -76.659537).</p> <pre><code>* Physical and chemical water data are collected with a YSI EXO2 sonde. * Temperature (dC) and Pressure (KPa) are collected with an Onset HOBO U20-001-01-Ti Water Level Logger</code></pre> <p>All data are CC-BY and should be cited using the DOI available at <a href="https://zenodo.org/communities/leo/">https://zenodo.org/communities/leo/</a></p> <p>Station Specifics</p> <p>The sensors are sampled every 15 minutes</p> <p>Measurements Parameters, units, and Variable Names</p> <ul> <li>date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS)</li> <li>date.time.adj - the date and time that the pressure was measured adjusted to match the time that barometric pressure was collected. (YYYY-MM-DD HH:MM:SS)</li> <li>observation - the number of the observation.</li> <li>timestamp - the date and time as reported by the data logger (MM/DD/YY HH:MM:SS AM/PM)</li> <li>date - the date that the record was collected (MM/DD/YYYY)</li> <li>time - the time that the record was collected (HH:MM:SS)</li> <li>site_name - the ID name provided by the KOR software.</li> <li>unit_ID - the sonde identification number.</li> <li>user_ID - the user that created the sampling template.</li> <li>Temp_dC - the water temperature in degrees C.</li> <li>DO_perc - the dissolved oxygen percent saturation (%).</li> <li>DO_percL - the "local" dissolved oxygen percent saturation where the calibration is locally always 100% saturated independent of the barometric pressure (%).</li> <li>DO_mg-L - the concentration of dissolved oxygen (mg/L).</li> <li>SPC_uS-cm - the specific conductance (uS/cm).</li> <li>C_uS-cm - the conductivity (uS/cm).</li> <li>nLFC_uS-cm</li> <li>TDS_mg-L - the total dissolved solids (mg/L).</li> <li>SAL_PSU - the salinity of the water (PSU).</li> <li>pH - the pH of the water.</li> <li>pH_mV - the millivolt measurement of the pH meter (mV).</li> <li>FNU - the turbidity of the water (FNU).</li> <li>TSS_mg-L - the total suspended solids (mg/L).</li> <li>BGA_PC_RFU - the phycocyanin fluorescence level which is an indicator of blue-green algae (RFU).</li> <li>BGC_PC_ug-L - the concentration of phycocyanin in the water, which is an indicator of blue-green algae (ug/L).</li> <li>Chl_RFU - the chlorophyll fluorescence level, which is an indicator of phytoplankton biomass (RFU).</li> <li>Chl_ug-L - the concentration of chlorophyll in the water, which is an indicator of phytoplankton biomass (ug/L).</li> <li>fDOM_RFU - the fluorescent DOM fluorescence level (RFU).</li> <li>fDOM_QSU - the standardized fluorescent DOM concentration (QSU).</li> <li>Wiper_V - the voltage output of the wiper (V).</li> <li>Cabel_V - the voltage output of the cable (V).</li> <li>Batt_V - the voltage output of the internal batteries (V).</li> <li>Pressure - the pressure of the water above the pressure transducer (KPa)</li> <li>Temp - the water temperature reported by the pressure transducer (dC)</li> <li>press_mmHg - the pressure of the water above the pressure transducer (mm Hg)</li> <li>BP_mmHg - the barometric pressure recorded by the weather station at the Yellow House (mm Hg)</li> <li>Z_press_trans - the depth of the water above the pressure transducer (cm)</li> <li>Z - the depth of the water above the sediments (cm)</li> </ul>
Large-scale Docking Datasets for Machine Learning
<p><strong>Large-scale virtual screening has become a valuable tool for early-phase drug discovery. Recent expansions of commercial chemical space have made it computationally intractable to evaluate all compounds in the libraries. Machine learning is one of the methods that aim to prioritize specific subsets of these vast libraries. In order to put these methods to the test, access to large-scale datasets is beneficial. To help the community benchmark their work, we share the docking scores of several ultralarge virtual screening campaigns.</strong></p> <p><strong>The datasets we provide contain canonical SMILES, compound identifiers, and docking scores. We docked two different chemical libraries against eight different biological targets with therapeutic relevance. The first dataset contained approximately 15.5 million molecules adhering to the "Rule-of-Four", whereas the second datasets consists of approximately 235 million "lead-like" molecules. The biological targets represent different classes of proteins and binding sites.</strong></p> <p><strong>More details on the datasets and our methods can be found on (<a href="http://github.com/carlssonlab/conformalpredictor">https://github.com/carlssonlab/conformalpredictor</a>) and our pre-print (<a href="https://doi.org/10.26434/chemrxiv-2023-w3x36">https://doi.org/10.26434/chemrxiv-2023-w3x36</a>). </strong></p> <p><strong>Please feel free to download and use these datasets for your own research purposes. We only ask that you cite our pre-print and datasets appropriately if you use it in your work. Thank you for your interest in our research!</strong></p>
In silico design, docking simulation, and ANN-QSAR model for predicting the anticoagulant activity of thiourea isosteviol compounds as FXa inhibitors
<p>The present work combined molecular modeling and docking approach for searching and designing novel thiourea isosteviol-based compounds as potential FXa inhibitors. Elaborated regression model establishes the relationships between experimentally determined anticoagulant activity and molecular descriptors and enables the prediction of FXa inhibitory activity for novel compounds. The obtained results proved that the Artificial Neural Network algorithm facilitates the search for the most promising isosteviol derivatives incorporating thiourea fragments as FXa inhibitors. Moreover, docking simulation confirms the prominent binding of the newly in silico designed molecules with the active sites of the protein, which may be the lead molecules and can be further optimized for the efficient pharmacodynamic and pharmacokinetic profiles. The enclosed files are representations of molecular structures of thiourea isosteviol compounds with experimentally tested FXa inhibitory activity (i20-i39) geometrically optimized in hyperchem, newly in silico designed thiourea isosteviol compounds geometrically optimized in hyperchem (e1-e11), one file contains molecular descriptors for optimized structures calculated in Dragon and there is also a code for ANN QSAR model for predicting activity of novel thiourea isosteviol compounds. </p>
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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.