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Fig. 2. A in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 2. A representative HPLC-UV profile of the AtCPK1-transformed callus culture of G. max – GmCa2 (A) and the control callus culture Gm (B). The callus tissue extracts recorded at 254 nm. Peak numbers correspond to each of the identified components and are listed in Table 3.
Fig. 3 in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 3. Content (mg/g DW) of isoflavones-aglycones (a) and their glucosides and malonyl-glucosides derivatives (b–d) and prenylated isoflavones (e) in the control calli (Gm) and the AtCPK-transformed callus cultures - GmCa1 and GmCa2. Data are presented as the mean ± SE from four subcultures (biological replicates) with two technical replicates for each experiment. Different letters above the bars indicate statistically significant differences of means (P <0.05), Fisher's LSD.
Fig. 1 in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 1. The branch of phenylpropanoid pathway leading to flavonoids. PAL, phenylalanine ammonia-lyase; C4H, cinnamate 4-hydroxylase; CHS, chalkone synthase; CHR, chalkone reductase; CHI, chalkone isomerase; FN3H, flavanone 3-hydroxylase; IFS, isoflavone synthase; HID, 2-hydroxyisoflavanone dehydratase, IDT1, isoflavone dimethylallyltransferase 1; IDT2, isoflavone dimethylallyltransferase 2; C4DT, coumestrol 4-dimethylallyltransferase.
Figure S1: Nutrient concentration of lettuce (Lactuca sativa 'Rex') plants grown at different total incident light levels in deep water culture hydroponics. Lines show multiple regression analysis results, indicating no significant interactions. Each data point represents one plant. N = nitrogen, P = phosphorus, K = potassium, Ca = calcium, Mg = magnesium, S = sulfur, B = boron, Cu = copper, Fe = iron, Mn = manganese, and Zn = zinc.
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Coastal Satellite Image Segmentation (Water and Land) Labels: Delmarva (USA), Virginia Beach (USA), New Jersey (USA), Long Island (USA), Duck, NC (USA), Northern Tuscany Littoral Cell (Italy), Torrey Pines, CA, (USA), Narrrabeen Beach (Australia), Truc Vert (France)
<p>Contained here are jpegs containing coastal RGB satellite images along with a water vs. land mask. Each image is 256 pixels by 256 pixels. </p> <p>Geographic scope: Delmarva (USA), Virginia Beach (USA), New Jersey (USA), Long Island (USA), Duck, NC (USA), Northern Tuscany Littoral Cell (Italy), Torrey Pines, CA, (USA), Narrrabeen Beach (Australia), Truc Vert (France)</p> <p>Temporal range: 1984 to 2022</p> <p>Satellites: Landsat 5, 7, 8 and Sentinel-2</p> <p>All images were downloaded from Google Earth Engine using CoastSat download tools.</p> <p>The datasets are arranged into 'train', 'val', and 'test' folders. Within each of those folders are two folders 'a' and 'b'. 'a' contains the images (RGB), whereas 'b' contains the labels (land vs. water mask).</p> <p>All images were augmented with the four following augmentations: horizontal flip, vertical flip, 90 degree clockwise rotation, 90 degree counterclockwise rotation, and a horizontal+vertical flip. </p> <p>For training a new segmentation model, it is advised to not do any of these rotational or flip augmentations since they have already been performed. Instead, possibly experiment with other augmentations like introducing noise into the imagery.</p> <p>These images were used to train an image-to-image translation generative adversarial network. The code and model weights (generator and discriminator) are available at <a href="https://github.com/mlundine/Shoreline_Extraction_GAN">https://github.com/mlundine/Shoreline_Extraction_GAN</a>.</p> <p>To get to the files locally, you can download the .zip from Zenodo and then unzip the .zip file.</p>
A 2-million-year record of Amazon climate - CDH-79 X-RF Data (Ti, Ca, Fe, K)
<p>X-ray fluorescence ( Ti, Ca, Fe and K) spanning the last 2 million years (myr) from a piston core (CDH-79) collected offshore of the mouth of the Amazon River and Statistical analisys.</p>
Wuppertal Elberfeld Mohren-Apotheke (ca. 1924/1947)
<p>Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]<br>Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).<br>Historical</p>
Dataset on the content of Cu, Ni Cd, Pb, Zn, Ag, Mg, Fe, Co and Ca in the carcass, gastrointestinal tract tissues and the whole body of nestlings of a small passerine bird, the Eurasian Reed Warbler Acrocephalus scirpaceus
<p><span>The data include the description of the age and the </span><span>concentrations of </span><span>Cu, Ni Cd, Pb, Zn, Ag, Mg, Fe, Co and Ca<span> measured in the </span>isolated, emptied gastrointestinal tract, <span>the whole body, and </span>carcass of the each individual nestling of a different age and hence a different stage of <span>post-natal development. The dataset includes also</span> some additional information on the breeding biology of the focal species. </span></p>
Dataset for: Combined Ca, Sr isotope and trace element analyses of Late Cretaceous dinosaur teeth: assessing diet versus diagenesis
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Data from: Calcium and strontium stable isotopes reveal similar behaviors of essential Ca and non-essential Sr in stream food webs
<p>Recent studies showed the potential of stable isotopes of the macronutrient calcium (δ<sup>44/40</sup>Ca) and non-essential strontium (δ<sup>88/86</sup>Sr) as new trophic level indicators in terrestrial vertebrates and marine teleost fishes. In this study, we tested whether similar Ca and Sr isotopic fractionation trends existed in macroinvertebrate dominated stream food webs compared to vertebrates despite their physiological differences. We have determined the δ<sup>44/40</sup>Ca and δ<sup>88/86</sup>Sr values as well as the <sup>87</sup>Sr/<sup>86</sup>Sr ratios of stream macroinvertebrates and of small gobies and of their potential metal sources (stream water, periphyton, terrestrial plant litter) collected in May and November 2018 in upper and lower reaches of two streams in the Lake Biwa catchment, central Japan.</p> <p>The data are organized in different spreadsheets for each sample type (Rock cobbles, Stream water, Periphyton, Plant litter, Aquatic macroinvertebrates, fishes). Each spreadsheet contains information of the sample type including stream name (Ado, Yasu), stream location (Upper, Lower), sampling month (May, November), where relevant the order and scientifc name of specimens, the δ<sup>44/40</sup>Ca and δ<sup>88/86</sup>Sr values with two standard deviations, the <sup>87</sup>Sr/<sup>86</sup>Sr ratios with two standard errors, the Ca and Sr concentrations and the calculated log(Sr/Ca) ratios of the samples.</p>
Species and environmental datasets from Sierra Nevada, CA (USA) streams in lake-stream networks
<p>A major goal of community ecology is understanding the processes responsible for generating biodiversity patterns along spatial and environmental gradients. In stream ecosystems, system specific conceptual frameworks have dominated research describing biodiversity change along longitudinal gradients of river networks. However, support for these conceptual frameworks has been mixed, mainly applicable to specific stream ecosystems and biomes, and these frameworks have placed less emphasis on general mechanisms driving biodiversity patterns. Rethinking biodiversity patterns and processes in stream ecosystems with a focus on the overarching mechanisms common across ecosystems will provide a more holistic understanding of why biodiversity patterns vary along river networks. In this study, we apply the Theory of Ecological Communities (TEC) conceptual framework to stream ecosystems to focus explicitly on the core ecological processes structuring communities: dispersal, speciation, niche selection, and ecological drift. Using a unique case study from high elevation networks of connected lakes and streams, we sampled stream invertebrate communities in the Sierra Nevada, CA to test established stream ecology frameworks and compared them to the TEC framework. Local diversity increased and β-diversity decreased moving downstream from the headwaters, consistent with the <em>river continuum concept</em> and the <em>small but mighty</em> framework of mountain stream biodiversity. Local diversity was also structured by distance below upstream lakes, where diversity increased with distance below upstream lakes, in support of the <em>serial discontinuity</em> <em>concept</em>. Despite some support for the biodiversity patterns predicted from the stream ecology frameworks, no single framework was fully supported, suggesting "context dependence". By framing our results under the TEC, we found species diversity was structured by niche selection, where local diversity was highest in environmentally favorable sites. Local diversity was also highest in sites with small community sizes, countering predicted effects of ecological drift. Moreover, higher β-diversity in the headwaters was influenced by dispersal and niche selection, where environmentally harsh and spatially isolated sites exhibit higher community variation. Taken together our results suggest that combining system specific ecological frameworks with the TEC provides a powerful approach for inferring the mechanisms driving biodiversity patterns and provides a path toward generalization of biodiversity research across ecosystems.</p>
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM. in Colocasia spongifolia sp. nov. (Araceae) in southern China and central Vietnam
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM.
"Towards skin-acetone monitors with selective sensitivity: dynamics of PANI-CA films" Raw Videos
<p>These are the original, unedited videos from which all data in the paper "Towards skin-acetone monitors with selective sensitivity: dynamics of PANI-CA films" was extracted by image analysis. This paper was published in <em>PLOS One</em>.</p>
Supplementary material 1 from: Murphy CA, Gerth W, Neal T, Arismendi I (2022) A low-cost, durable, submersible light trap and customisable LED design for pelagic deployment and capture of fish parasite Salmincola sp. copepodids. NeoBiota 73: 1-17. https://doi.org/10.3897/neobiota.73.76515
Supplementary material for a low-cost, durable, submersible light trap and customizable LED design for pelagic deployment and capture of fish parasite Salmincola sp. copepodids
Basemap Data For FIeldcamp 2022, January 2022, Little Piute Mountains, CA
<p>This folder contains the basemap data for the 12.115 Geology Field Camp class, taught by Professor Oliver Jagoutz</p>
Finite-Source Model of the M6.0 July 8, 2021 Antelope Valley, CA Earthquake
<p>This zip file contains the InSAR line-of-sight (LOS) displacements derived from Sentinel-1 data collected along four satellite tracks (T42,T64, T137, T144) covering the 2021 M6 Antelope Valley earthquake in Eastern California. For each track, all possible interferograms of roughly 1-month long in time spanning the earthquake without sharing a common scene are stacked to obtain the average coseismic LOS displacement. See text for details.</p> <p> </p> <p># data format: NetCDF grid file</p> <p>"dlos_stack_coseismic.grd" ---- average coseismic LOS displacement (unit: meters); positive value corresponds to surface deformation toward the satellite.</p> <p>look_e/n/u.grd --- East, North, Vertical (Up) components of the line-of-sight direction, so that</p> <p> </p> <p> dlos_displacement = dUe*look_e + dUn*look_n + dUup*look_u</p> <p> </p> <p>where dUe, dUn, and dUup represent the Eastward, Northward, and Upward surface motion.</p> <p> </p> <p>We also provide the ascii-format downsampled LOS displacement of each track that went into the coseismic slip modeling ("dlos_stack_coseismic_samp.txt"). The file contains 6 columns:</p> <p>#longitude latitude dLOS(cm) vE vN vUp</p> <p>Questions: Kang Wang (kangwang@berkeley.edu)</p> <p> </p>
First Lidar Profiling of Meteoric Ca+ Ion Transport from ~80 to 300 km in the Midlatitude Nighttime Ionosphere
<p>The attached data is used for the paper.</p>
CA-HF65-2
Source: Objaverse 1.0 / Sketchfab
Disneyland, Anaheim, CA, USA
Disneyland, Anaheim, CA, USA Source: Objaverse 1.0 / Sketchfab
Supplementary material 1 from: Freire CA, Rios LP, Giareta EP, Castellano GC (2017) Oxygen consumption remains stable while ammonia excretion is reduced upon short time exposure to high salinity in Macrobrachium acanthurus (Caridae: Palaemonidae), a recent freshwater colonizer. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e20173
Figure S1. Cephalothorax of Macrobrachium acanthurus exposed to salinities 0 (control), 10, 20, and 30 psu for 4 or 8 hours. : Data type: JPEG image file
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.