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955 results for “phosphate”
Dissolved inorganic nutrients including 5 macro nutrients: silicate, phosphate, nitrate, nitrite, and ammonium from water column bottle samples collected between October and April at Palmer Station, 1991 - 2025.
The inorganic plant macronutrients dissolved phosphate, silicate, nitrate, nitrite and ammonium are the major sources of nutrition for phytoplankton growth in seawater (with sunlight and inorganic carbon). Macronutrient distributions reflect the large-scale circulation patterns in the oceans and are useful properties to delineate water masses. Dissolved inorganic nutrients samples are typically collected in every Niskin bottle sample collected at and near Palmer Station, Anvers Island, Antarctica on the Western Antarctic Peninsula. Water samples are collected throughout the water column at stations within the Palmer LTER region (primarily B and E, to 50m and 65m respectively). Beginning in the 2020-2021 season, Station B is no longer sampled. In Antarctic waters, dissolved inorganic macronutrients are seldom depleted to limiting concentrations except during heavy prolonged phytoplankton blooms. This is due to the fact that phytoplankton growth is more often limited by light or iron, and to the short growing season. Water samples are analyzed for dissolved nutrients with recognized standard oceanographic protocols for nutrient autoanalyzers (continuous flow analyzers).
Dissolved inorganic nutrients including 5 macro nutrients: silicate, phosphate, nitrate, nitrite, and ammonium from water column bottle samples collected during annual cruise along western Antarctic Peninsula, 1991 - 2024.
The inorganic plant macronutrients dissolved phosphate, silicate, nitrate, nitrite and ammonium are the major sources of nutrition for phytoplankton growth in seawater (with sunlight and inorganic carbon). Macronutrient distributions reflect the large-scale circulation patterns in the oceans and are useful properties to delineate water masses. Dissolved inorganic nutrients samples are typically collected in every CTD/Rosette cast performed on the annual LTER cruises along the western Antarctic Peninsula. In Antarctic waters, dissolved inorganic macronutrients are seldom depleted to limiting concentrations except during heavy prolonged phytoplankton blooms. This is due to the fact that phytoplankton growth is more often limited by light or iron, and to the short growing season. Water samples pre-filtered through 47mm GF/F filters upon collection and samples frozen until analysis. Water samples are analyzed for dissolved nutrients with recognized standard oceanographic protocols for nutrient autoanalyzers (continuous flow analyzers).
Dataset of "Selective Precipitation of REE-Rich Aluminum Phosphate with Low Lithium Losses from Lithium Enriched Slag Leachate"
<p>Currently, recycling of spent lithium-ion batteries is carried out using mechanical, pyrometallurgical and hydrometallurgical methods and their combination. The aim of this article is to study a part of pyro-hydrometallurgical processing of spent lithium-ion batteries which includes lithium slag hydrometallurgical treatment and refining obtained leachate. Lithium slag intended for leaching experiments contains 3,68 % of Li; 11,02 % of Al; 1,17 % of Co; 1,71 % of Cu and other metals in minority content. Leaching step was realized via dry digestion that is an effective method capable of transferring over 99% of the present metals such as Li, Al, Co, Cu and others to the leachate. The highest content in leachate reached Al (2666 µg/mL) and Li (2239 µg/mL). Extraction of metals from leachate can be conducted using various methods, with precipitation being the most used. In this work, the influence of two types of precipitation agent (NaOH, Na3PO4) on precipitation efficiency of Al and Li losses was investigated. It was found that the precipitation of aluminium with NaOH can result in the co-precipitation of lithium, causing total lithium losses up to 40 %. As suitable precipitating agent for complete Al removal from Li leachate with a minimal loss of lithium (less than 2 %), crystalline Na3PO4 was determined under following condition: pH = 3, 400 rpm, 10 minutes, room temperature. Analysis confirmed that, in addition to aluminium, the precipitate also contains REE La (3.4%), Ce (2.5%), Y (1.3%), Nd (1%) and Pr (0.3%), which selective recovery will be the subject of further study.</p>
Porewater measurements of dissolved nutrients (ammonia, nitrate/nitrite, phosphate) from core monitoring sites in the GCE-LTER domain following hurricane Irma from October 2017 to October 2018.
To access the effect of hurricane Irma on the GCE domain, porewater samples were collected to evaluate porewater nutrient concentrations at four core GCE monitoring sites (7, 8, 9 and 11). A limited number of samples were collected in October 2017 (a month after the storm surge from hurricane Irma hit the east coast of the United States) and then all sites were sampled in Nov 2017 and in Jan, Feb, Apr and Oct 2018. Porewater samples were obtained from approximately 10 cm depth using Rhizon samplers and then analyzed for ammonium, nitrate + nitrite, and phosphate concentrations.
Dataset for a publication: "A zinc phosphate layered biodegradable Zn-0.8Mg-0.2Sr alloy: Characterization and mechanism of hopeite formation"
<p>These data are published as part of the paper: A zinc phosphate layered biodegradable Zn-0.8Mg-0.2Sr alloy: Characterization and mechanism of hopeite formation. The structure and organization of the data are outlined in the readme file. </p> <p> </p>
Selected data(s) from : Femtosecond direct laser writing of silver clusters in phosphate glasses for x-ray spatially-resolved dosimetry
<p>The data selected is based on the figures below, published in the linked article (see the doi).</p> <p><strong>- Figure 1.</strong> Microscopy fluorescence image of ARGOi glass sample (excitation at 365 nm) of laser-inscribed structures for the different writing irradiances at two different depths: (<strong>a</strong>) structures at 150 µm below the glass front surface, (<strong>b</strong>) structures at 550 µm below the glass front surface, and at 150 µm from the glass rear surface. <strong>(Only picture)</strong></p> <p>- <strong>Figure 2.</strong> (<strong>a</strong>) Transparent color before irradiation (ARGO glass sample), (<strong>b</strong>) yellow color after X-ray irradiation with 222 Gy (ARGO* glass sample). <strong>(Only picture)</strong></p> <p><strong>- </strong> <strong>Figure 3.</strong> (<strong>a</strong>) Absorption spectra of the ARGO and ARGO* glass sample after various X-ray doses and the difference absorption coefficient spectrum for 222 Gy vs. pristine. (<strong>b</strong>) Fit of the radiation-induced spectrum (difference between 222 Gy and pristine) considering Gaussian energy contributions for ARGO and ARGO*. (<strong>c</strong>) Absorption spectra for the GPN and GPN* glasses for X-ray doses from 5 mGy to 3 kGy [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>d</strong>) The difference absorption coefficient spectra between different doses conditions for GPN and GPN* [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure3_2022-03-03_V01. <strong>Figure 3</strong></li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure3_Datas_2022-03-03_V01. Datas : <strong>wavelength, effective absorption coefficient (cm-1)</strong></li> </ol> <p>- <strong>Figure 4.</strong> Micro-luminescence of GPN* glass performed on the optically polished glass side: (<strong>a</strong>) integrated fluorescence intensity at different depths, (<strong>b</strong>) normalized spectrum evolution with depth for the 500 Gy dose [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure4_2022-03-03_V01. Figure 4</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure4_Datas_2022-03-03_V01. Datas</li> </ol> <p>- <strong>Figure 5.</strong> Estimated depth-dependent profiles in absolute values of the linear absorption coefficient at 405 nm. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure5_2022-03-03_V01. Figure 5</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure5_Datas_2022-03-03_V01. Datas : <strong>sample depth (mm) ; scaled linear absorption coefficient profile at 405 nm (mm-1)</strong></li> </ol> <p>- <strong>Figure 6.</strong> (<strong>a</strong>) X-ray energy spectra simulated by SpekPy for each irradiation facility, normalized by integral. (<strong>b</strong>) Geant4-simulated dose inside each sample, normalized by the surface dose; filled areas show uncertainties at 95% confidence. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure6_2022-03-03_V01. Figure 6</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure6_Datas_2022-03-03_V01. Datas : <strong>ARGO 100KV_dose ; GPN-20KV_dose ; GPN-32KV_dose</strong></li> </ol> <p>- <strong>Figure 7.</strong> Radio-photoluminescence measurement of the GPNi* glass for the inscribed structure [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure7_2022-03-03_V01. Figure 7</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure7_Datas_2022-03-03_V01. Datas : <strong>wavelength ; relative intensity a.u.</strong></li> </ol> <p>- <strong>Figure 8.</strong> Normalized RPL spectra excited at 325 nm: (<strong>a</strong>) for the ARGO (pristine—right axis) and ARGO* (X-ray irradiation at 222 Gy—left axis) glasses collected around 150 µm below the surface, (<strong>b</strong>,<strong>c</strong>) for the highest DLW irradiance structure for ARGOi and ARGOi* in the front- and the rear-inscribed surfaces, respectively. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure8_2022-03-03_V01. Figure 8</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure8_Datas_2022-03-03_V01. Datas : <strong>inscribed glass...</strong></li> </ol> <p>- <strong>Figure 9.</strong> (<strong>a</strong>) Differential linear absorption coefficient of the laser-inscribed structures (11 TW/cm<sup>2</sup>) for the two planes after irradiation at 222 Gy X-ray dose in the ARGOi* glass sample. (<strong>b</strong>) Average differential absorption of the inscribed structures for all DLW irradiance (as from <a href="https://www.mdpi.com/2227-9040/10/3/110/htm#fig_body_display_chemosensors-10-00110-f009">Figure 9</a>a). (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure9_2022-03-03_V01. Figure 9</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure9_Datas_2022-03-03_V01. Datas : <strong>integrated differential linear absoprtion percentage ; irradiance (TW/cm2)</strong></li> </ol> <p>- <strong>Figure 10.</strong> (<strong>a</strong>) Phase image under white light illumination of the laser inscribed structure (11 TW/cm<sup>2</sup>) before irradiation. (<strong>b</strong>) Optical path difference determined from the phase image. (<strong>c</strong>) The refractive index modification Δ<em>n</em> as a function of laser irradiance before/after 222 Gy-dose for the two planes in ARGOi, ARGOi* glass sample. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure10_2022-03-03_V01. Figure 10</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure10_Datas_2022-03-03_V01. Datas : <strong>refractive index modification ; irradiance (TW/cm2), Error bar</strong></li> </ol> <p><strong>- Figure 11.</strong> Comparison between calculated and measured Δ<em>n</em>ˆ after irradiation for a decrease in the initial value of <em>N</em><em>α</em>3 by 0.48%: (<strong>a</strong>,<strong>c</strong>) the real part Δ<em>n</em> for the front and rear surfaces, respectively; (<strong>b</strong>,<strong>d</strong>) their imaginary counterparts Δ<em>κ</em>, respectively. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure11_2022-03-03_V01. Figure 11</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure11_Datas_2022-03-03_V01. Datas : <strong>rear surface...</strong></li> </ol> <p><strong>- Figure 12.</strong> Integrated measure of the amplitude of fluorescence intensity for the different laser irradiance before and after 222 Gy-dose for the two planes in ARGOi and ARGOi* glass sample. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure12_2022-03-03_V01. Figure 12</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure12_Datas_2022-03-03_V01. Datas : <strong>integrated measure of the amplitude of fluorescence intensity ; Irradiance (TW/cm2) ; Error bar </strong></li> </ol> <p><strong>- Figure 13.</strong> (<strong>a</strong>) Composite FLIM and fluorescence intensity microscopy images of the laser-induced structure (11 TW/cm<sup>2</sup>) before and after irradiation for an emission at 425 nm from the front surface; the color-code represents the mean lifetime obtained by FAST-FLIM algorithm (color scale from 0 to 31 ns); inset: luminescence intensity only (grey-scale from 0 to 45 counts). (<strong>b</strong>) Same composite FLIM and luminescence intensity images for an emission at 510 nm. (<strong>c</strong>) Luminescence decays in arbitrary units for the emission at 425 nm of the same structure before and after irradiation for the two surfaces, and fitting curves thereof using three exponential decay functions. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure13_2022-03-03_V01. Figure 13</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure13_Datas_2022-03-03_V01. Datas : <strong>fluorescence intensity (arbitrary units) ; time (ms)</strong></li> </ol> <p>- <strong>Figure 14.</strong> Dose-dependent evolution of the amplitude ratio of extracted spectral bands for (<strong>a</strong>) the GPNi* glass sample for DLW irradiance of 13.4 TW/cm<sup>2</sup> at 160 µm below the glass surface, (<strong>b</strong>) the ARGOi and ARGOi* glass sample for DLW irradiance of 11 TW/cm<sup>2</sup> at 550 µm below the glass surface (rear surface). (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure14_2022-03-03_V01. Figure 14</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure14_Datas_2022-03-03_V01. Datas : <strong>ratio of amplitudes of spectral bands ; doses (gy)</strong>.</li> </ol>
Raw diffraction images of pyruvate phosphate dikinase (PPDK), PDB 5JVN
<p>Raw diffration images and processing input files/logs of pyruvate phosphate dikinase (PPDK) from the C<sub>3</sub> plant <em>Flaveria pringlei</em>. The data was used for PDB entry <a href="https://www.ebi.ac.uk/pdbe/entry/pdb/5jvn">5JVN</a> (<a href="https://www.doi.org/10.1038/srep45389">Minges et al. 2017</a>). Data was collected in two helical scans from the same crystal, each consisting of 3600 images (360°/scan, 0.1°/image). Data were cut according to accumulated radiation damage at 3445 and 3400 images respectively. All data was collected from loop-harvested crystals at beamline ID29 at the European Synchrotron Radiation Facility (ESRF, Grenoble, France) using a wavelength of 0.976252 Å and a Pilatus 6M (Dectris, Baden, Switzerland) detector.</p> <p>The crystal belonged to the spacegroup P622 with unit cell constants a, b ~ 250 Å, c ~ 84 Å, α, β, γ ~ 90°.</p> <p>.</p>
Preliminary Supplementary Information for "Kinetics of Deoxyribose-1-Phosphate Decay in Aqueous Solution"
<p>This is the dataset for our upcoming publication tenatively titled "Kinetics of Deoxyribose-1-Phosphate Decay in Aqueous Solution" and may serve as a preliminary Supplementary Information.</p> <p>We employed high-throughput UV spectroscopy-based monitoring of the apparent conversion of deoxyribosyl nucleoside phosphorolysis to access the kinetics of deoxyribose-1-phosphate hydrolysis in aqueous solution at different pH values and temperatures.</p> <p>Please see the files below for a general description of this entry and the full dataset(s).</p>
Human Dolichyl-Phosphate Alpha-N-Acetyl glucosaminyl transferase (DPAGT1); A Target Enabling Package
<p>The ER integral membrane enzyme dolichyl-phosphate alpha-N-acetyl glucosaminyl phosphotransferase (DPAGT1) catalyses the first step in the synthesis of the oligosaccharide-P-P-dolichol unit which provides the glycans structure for N-glycosylation of proteins. Mutations in DPAGT1 cause two muscle weakness conditions, limb-girdle congenital myasthenic syndrome (CMS) and congenital disorder of glycosylation type 1j (CDG1j). DPAGT1 overexpression has also been implicated in oral cancer. We have produced and solved structures of this integral membrane enzyme, DPAGT1 with the V264G mutation found in a patient with CMS, and complexes with a 50 nM inhibitor, tunicamycin. We have developed enzymatic activity and thermostability assays which have allowed us to assess the activity and stability of DPAGT1 mutants and the effect of small molecules. There are > 20 DPAGT1 associated missense variants in patients with CMS and CDG1j. We have mapped these mutations to the structure, and we will used the assays described here to assess how the activity and stability of DPAGT1 is affected by these missense variants.</p>
Dataset for the Sphingosine 1-phosphate receptor 1 (S1PR1) antibody screening study
<p><strong><span>This antibody characterization dataset is related to the F1000 research article openly available at F1000Research.</span></strong></p> <p><em>This project contains the following underlying data included in a study aimed at characterizing nine commercial antibodies against Sphingosine 1-phosphate receptor 1 (S1PR1) protein, encoded by S1PR1 gene. The study is available on Zenodo (<a href="https://doi.org/10.5281/zenodo.10819189">https://doi.org/10.5281/zenodo.10819189</a>).</em></p> <p><em>The Dataset is in the format of a zip file. Once downloaded, please expand the zip file to access the folders containing the underlying data for Western blot (Wb), immunoprecipitation (IP) and immunofluorescence (IF).</em></p>
Profile of microbial changes after the application of different phosphate forms
<p>This data set includes the results of the application of different P forms that may be present at different rates in REFLOW fertilizers on soil microbial activities, composition and biomass.</p> <p> </p> <p>The dataset is under embargo until the corresponding publication becomes available.</p>
Data for "A deamination-driven biocatalytic cascade for the synthesis of ribose-1-phosphate"
<p>This externally hosted dataset is for our work "A deamination-driven biocatalytic cascade for the synthesis of ribose-1-phosphate" (<a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4GC02955K">https://doi.org/10.1039/D4GC02955K</a>). It contains raw MS and NMR data and source data for all corresponding figures (when applicable) in the main manuscript and SI. </p> <p>The .zip file contains all three data sets (MS, NMR, and source data).</p> <p>This work builds on our previously published biocatalytic synthesis for ribose-1-phosphate (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.mcat.2018.07.028" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mcat.2018.07.028</a>).</p> <p> </p>
Measurements from CalCOFI cruises in the California Current System, including log of station information, weather, sea conditions as well as physical, chemical and biological measurements including including temperature, salinity, oxygen, density, sigma theta, phosphate, silicate, nitrite, nitrate, ammonia, chlorophyll a, integrated chlorophyll a, primary productivity, and integrated primary production. 1949 - January 2020
Since 1949, hydrographic and biological data of the California Current System have been collected on quarterly CalCOFI cruises. The 59+ year hydrographic time-series includes weather, temperature, salinity, oxygen and phosphate observations. In 1961, nutrient analysis expanded to include silicate, nitrate and nitrite; in 1973, chlorophyll was added; in 1984, C14 primary productivity incubations were added. These data are being provided here in collaboration with CalCOFI-SIO in order to provide an additional queriable interface to the data. The data are updated on a regular basis from the CalCOFI hydrographic database.
Dissolved inorganic nitrate, nitrite, silicate and phosphate concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) during the Austral Summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains dissolved inorganic nitrate, nitrite, silicate and phosphate concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) Legs 1-3. Water samples were collected from the underway seawater supply every 3 hours, preserved and analysed for dissolved inorganic nutrient concentrations using flow injection and colorimetric methods. These samples provide an estimate of the dissolved concentrations of inorganic macronutrients essential for phytoplankton growth.</p> <p><strong>Dataset contents</strong></p> <ul> <li>README.txt, metadata, text</li> <li>data_file_header.txt, metadata, text</li> <li>ace_uw_nutrients_20200527CURRSGCMR.csv, data file, comma-separated values</li> <li>change_log.txt, metadata, text</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - changed order of authors in publication and citation in README</p> <p>v1.0 - initial release of dataset</p>
Figure 17 in A new species of Halisaurus from the Late Cretaceous phosphates of Morocco, and the phylogenetical relationships of the Halisaurinae (Squamata: Mosasauridae)
Figure 17. Strict consensus tree of six most parsimonious trees (270 steps) showing the phylogenetic relationships of Halisaurus arambourgi sp. nov. and Halisaurinae among Mosasauridae.
Figure 16 in A new species of Halisaurus from the Late Cretaceous phosphates of Morocco, and the phylogenetical relationships of the Halisaurinae (Squamata: Mosasauridae)
Figure 16. Halisaurine skull reconstructions in dorsal view. A, Halisaurus platyspondylus (from Holmes & Sues, 2000); B, Halisaurus ortliebi (from Lingham-Soliar, 1996); C, Halisaurus arambourgi sp. nov.; D, Eonatator sternbergii (from Bardet & Pereda Suberbiola, 2001). Scale bar = 10 cm.
Figure 14 in A new species of Halisaurus from the Late Cretaceous phosphates of Morocco, and the phylogenetical relationships of the Halisaurinae (Squamata: Mosasauridae)
Figure 14. Comparisons of halisaurine quadrates in lateral (above) and posterior (below) views. A, Halisaurus platyspondylus (USNM 442450; from Holmes & Sues, 2000); B, Halisaurus ortliebi (IRSNB R 34; N.B. pers. observ.); C, Halisaurus arambourgi sp. nov. (private collection); D, Eonatator sternbergii (UPI R 163; N.B. pers. observ.). Scale bar = 2 cm.
Figure 6 in A new species of Halisaurus from the Late Cretaceous phosphates of Morocco, and the phylogenetical relationships of the Halisaurinae (Squamata: Mosasauridae)
Figure 6. Halisaurus arambourgi sp. nov. OCP DEK/GE 101, incomplete disarticulated skeleton, Late Cretaceous (Maastrichtian), Oulad Abdoun Basin, Morocco. Scale bar = 10 cm.
Figure 11 in A new species of Halisaurus from the Late Cretaceous phosphates of Morocco, and the phylogenetical relationships of the Halisaurinae (Squamata: Mosasauridae)
Figure 11. Halisaurus arambourgi sp. nov. A, OCP DEK/GE 100, pectoral girdle; B, OCP DEK/GE 101, pelvic girdle, Late Cretaceous (Maastrichtian), Oulad Abdoun Basin, Morocco, interpretative drawings. Abbreviations: am, anterior margin; As, astragalus; Co, coracoid; F, fibula; f, foramen; Fe, femur; gl, glenoid; Il, ilium; m, metapod; p, phalanx; Pa, parietal; pm, posterior margin; Pu, pubis; R, radius; Sc, scapula; T, tibia. Scale bar = 10 cm.
Figure 10 in A new species of Halisaurus from the Late Cretaceous phosphates of Morocco, and the phylogenetical relationships of the Halisaurinae (Squamata: Mosasauridae)
Figure 10. Halisaurus arambourgi sp. nov. A, OCP DEK/GE 100, pectoral girdle; B, OCP DEK/GE 101, pelvic girdle, Late Cretaceous (Maastrichtian), Oulad Abdoun Basin, Morocco. Scale bar = 10 cm.
ScienceDex guides
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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.