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108 results for “Chocolate”
Dataset: Rocky Mountain Chocolate Factory, Inc. (RMCF) 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 2 in Antiproliferative, genotoxic and mutagenic potential of synthetic chocolate food flavoring
Figure 2. Normal cells and cells with chromosomal and nuclear alterations observed in root meristem cells of A. cepa exposed to different concentrations of chocolate flavoring. (A) interphase with two active regions; (B) normal prophase; (C) normal metaphase; (D) normal anaphase; (E) normal telophase; (F) micronucleus (arrow); (G) nuclear nuds, and (H) (arrow) - chromosomal break.
Figure 1 in Antiproliferative, genotoxic and mutagenic potential of synthetic chocolate food flavoring
Figure 1. Cell cycle phase indices obtained for the different concentrations of chocolate flavoring at exposure times 0 hour (Co), 24h and 48 hours. Co: Control; NC: Negative Control.
Figure 1 in First record of the chocolate shrimp-goby (Gobiidae: Cryptocentrus malindiensis) from Réunion Island with a brief description of its natural habitat
Figure 1. - Association between Cryptocentrus malindiensis and the shrimp Alpheus rubromaculatus near a lava flow of the Piton de la Fournaise, Réunion Island. A: General view; B: Close-up.
Gloss estimation of chocolate sprinkles with Hyperspectral Imaging
<p>Gloss is an important characteristic in the quality evaluation in chocolate production. However, standard glossing<br> measuring devices face several challenges when measuring food products, in particular those with curved surfaces and<br> small, such as chocolate sprinkles. Therefore, gloss evaluation of chocolate sprinkles is typically done by human visual<br> assessment. In this respect, hyperspectral imaging (HSI), combining spectroscopy and imaging, has gained attention as a<br> non-destructive and non-contact real-time detection tool for food quality analysis and control. This technique adds an<br> extra dimension to traditional machine vision techniques by providing images at a larger number of more narrow<br> wavebands. This can potentially increase the discrimination power.<br> <br> The main task of this dataset is to classify between 5 classes of chocolate production stages. The labels are indicated on the file names. The labels are: EXTRUDER, GLUCOSE, STAGE1, STAGE2, STAGE3.</p> <p> The .zip file contains two folders named:</p> <p>- envi_sprinkles_dataset_11_04_22 (Train Set)</p> <p>- envi_sprinkles_test_dataset_11_04_22 (Test Set)</p> <p>In envi_sprinkles_dataset_11_04_22 the file name convention is BATCH_CLASSNAME_INDEX.hdr</p> <p>In envi_sprinkles_test_dataset_11_04_22 the file name convention is CLASSNAME_INDEX.hdr</p> <p>Note that in the train set the batch information is present in the file name, if two samples belongs to the same batch means that they were produced at the same time.</p> <p>The samples format is ENVI. Consist of a header file and ENVI binary data file with file extensions <code>.hdr</code> and <code>.raw</code>, respectively. The function writes the wavelength and metadata information to the ENVI header file and the data cube containing the hyperspectral images to the ENVI binary data file.</p> <p>The image shape is [272x512x16] , [HEIGHT, WIDTH, BANDS], the pixel format is uint16.</p> <p> </p> <p> </p>
Protein stable isotope fingerprinting (P-SIF): Chocolate Pots (Yellowstone) biomass
<p>Stable carbon isotope data for proteins extracted from a Yellowstone microbial mat, Chocolate Pots hot springs.</p>
Chocolate Tray Photogrammetry and RTI Model
I utilized Agisoft Photoscan to create the mesh many days ago. Today I used RTI by way of a custom dome apparatus and CHI's programs to create a normal map of the surface of the same object and manipulated it in photoshop to match the UV as closely as possible. Scans were done by AISOS, a part of LATIS Labs in the College of Liberal Arts at the University of Minnesota, Twin Cities. Source: Objaverse 1.0 / Sketchfab
Ancient Maya plate for chocolates
This plate was found in an elite burial in Group I at Holmul, Guatemala. It dates to around 800 C.E. or slightly later. The plate is currently on display at the Peabody Museum of Archaeology and Ethnology, Harvard University (11-06-20/C5666). SFM photogrammetry (Agisoft PhotoScan Pro + Canon 5D Mark II) Source: Objaverse 1.0 / Sketchfab
Safety and Efficacy of Chocolate Balloon Catheter in Peripheral Arterial Disease (CHOCO-PAD)
ClinicalTrials.gov study NCT06933992. IPD Sharing: NO. Countries: 1. Publications: 25.
Chocolate and Physical Exercise to Reduce Malnutrition in Pre-dementia Aged People
ClinicalTrials.gov study NCT05343611. IPD Sharing: YES. Countries: 1. Publications: 25.
Efficacy of Polyphenols From Milk and Dark Chocolate
ClinicalTrials.gov study NCT00513344. IPD Sharing: Not stated. Countries: 1. Publications: 2.
CHOCOlate MeLatonin for AdolescenT MigrainE
ClinicalTrials.gov study NCT03597529. IPD Sharing: NO. Countries: 1. Publications: 3.
Maya plate for chocolates (no annotations)
This plate was found in an elite burial in Group I at Holmul, Guatemala. It dates to around 800 C.E. or slightly later. The plate is currently on display at the Peabody Museum of Archaeology and Ethnology, Harvard University (11-06-20/C5666). SFM photogrammetry (Agisoft PhotoScan Pro + Canon 5D Mark II) Source: Objaverse 1.0 / Sketchfab
Vintage Japanese Fujiya Chocolate Tin box
Vintage Japanese Fujiya's Chocolate Tin box Source: Objaverse 1.0 / Sketchfab
Vintage Dutch Tin of chocolate powder
Vintage Dutch Droste cacao tin. Source: Objaverse 1.0 / Sketchfab
On following pages: 97. Savi's Pipistrelle (Hypsugo savii); 98. Alashanian Pipistrelle (Hypsugo alaschanicus); 99. Cadorna's Pipistrelle (Hypsugo cadornae); 100. Joffre's Pipistrelle (Hypsugo joffrel); 101. Chinese Pipistrelle (Hypsugo pulveratus); 102. Chocolate Pipistrelle (Hypsugo affinis); 103. Pungent Pipistrelle (Hypsugo mordax); 104. Peters's Pipistrelle (Hypsugo peters); 105. Long-toothed Pipistrelle (Hypsugo dolichodon); 106. Burmese Pipistrelle (Hypsugo lophurus); 107. Red-brown Pipistrelle (Hypsugo kitcheneri); 108. Brown Pipistrelle (Hypsugo imbricatus); 109. Big-eared Pipistrelle (Hypsugo macrotis); 110. Vordermann's Pipistrelle (Hypsugo vordermanni), 111. Anchieta's Pipistrelle (Hypsugo anchieta); 112. Kirindy Pipistrelle (Hypsugo bemainty); 113. Mouse-like Pipistrelle (Hypsugo musciculus); 114. Broad-headed Pipistrelle (Hypsugo crassulus); 115. Eisentraut's Pipistrelle (Hypsugo eisentrautl); 116. Schlieffen's Bat (Nycticeinops schlieffenii); 117. Moloney's Mimic Bat (Mimetillus moloney)). in Vespertilionidae
On following pages: 97. Savi's Pipistrelle (Hypsugo savii); 98. Alashanian Pipistrelle (Hypsugo alaschanicus); 99. Cadorna's Pipistrelle (Hypsugo cadornae); 100. Joffre's Pipistrelle (Hypsugo joffrel); 101. Chinese Pipistrelle (Hypsugo pulveratus); 102. Chocolate Pipistrelle (Hypsugo affinis); 103. Pungent Pipistrelle (Hypsugo mordax); 104. Peters's Pipistrelle (Hypsugo peters); 105. Long-toothed Pipistrelle (Hypsugo dolichodon); 106. Burmese Pipistrelle (Hypsugo lophurus); 107. Red-brown Pipistrelle (Hypsugo kitcheneri); 108. Brown Pipistrelle (Hypsugo imbricatus); 109. Big-eared Pipistrelle (Hypsugo macrotis); 110. Vordermann's Pipistrelle (Hypsugo vordermanni), 111. Anchieta's Pipistrelle (Hypsugo anchieta); 112. Kirindy Pipistrelle (Hypsugo bemainty); 113. Mouse-like Pipistrelle (Hypsugo musciculus); 114. Broad-headed Pipistrelle (Hypsugo crassulus); 115. Eisentraut's Pipistrelle (Hypsugo eisentrautl); 116. Schlieffen's Bat (Nycticeinops schlieffenii); 117. Moloney's Mimic Bat (Mimetillus moloney)).
On following pages 51 Pygmy Bamboo Bat (Tylonyctens pygmaea). 52 Indoma ayan Lesser Bamboo Bat (Tylonycreııs fu/vrda). 53 Sunda Lesser Bamboo Bat (Tylonycrers pachypus) 54 Tonkm Greater Bamboo Bat (Tylonycrerıs ronk nensrs) 55 Malayan Greater Bamboo Bat (Ty onyctens malayana) 56 Sumatran Greater Bamboo Bat (Tyloııycrerıs robusta/a) 57 Yok Don He meted Bat (Cass srre us yokdonens s) 58 Surat He meted Bat (Cassısrrel us dımıssus), 59 Rohu s Bat (Phıleror brachyptems). 60 Western False Prp strelle (Fels srrellus mackenzıeı), 61 Eastern False P pıstrelle (Fa s stre us rasmanıens s) 62 Ye ow-I pped Cave Bat (Vespade us douglasorum). 63 Northern Cave Bat (Vespade us caunnus). 64 Fmleysons Cave Bat (Vaspadelus fınlaysonı), 65 Eastern Cave Bat (Vespade us rroughtonı) 66 In and Forest Bat (Vespade us bavsrstodrı) 67 Eastern Forest Bat (Vespadelus pumılus), 68 Lıttle Forest Bat (Vespade/us vu/turnus) 69 Large Forest Bat (Vespadelus der! ngtonı), 70 Southern Forest Bat (Vespade us ragu us) 71 Large-eared P ed Bet (Cha noobus dwyerr) 72 L tt e Pıed Bat (Cha/ınolobus pıcarus). 73 Hoary Wettled Bet (Che/rnolobus rııgrogrısaus), 74 Gould's Wattled Bat (Chalınolobus gouldıı). 75 New Caledonıan Wattled Bat (Chalıno/obus neocaledonıcus) 76 Chocolate Wattled Bet (Chalnolobus morro), 77 New Zealand Long-taıled Bat (Chahnolobus ruberculetus) in Vespertilionidae
On following pages 51 Pygmy Bamboo Bat (Tylonyctens pygmaea). 52 Indoma ayan Lesser Bamboo Bat (Tylonycreııs fu/vrda). 53 Sunda Lesser Bamboo Bat (Tylonycrers pachypus) 54 Tonkm Greater Bamboo Bat (Tylonycrerıs ronk nensrs) 55 Malayan Greater Bamboo Bat (Ty onyctens malayana) 56 Sumatran Greater Bamboo Bat (Tyloııycrerıs robusta/a) 57 Yok Don He meted Bat (Cass srre us yokdonens s) 58 Surat He meted Bat (Cassısrrel us dımıssus), 59 Rohu s Bat (Phıleror brachyptems). 60 Western False Prp strelle (Fels srrellus mackenzıeı), 61 Eastern False P pıstrelle (Fa s stre us rasmanıens s) 62 Ye ow-I pped Cave Bat (Vespade us douglasorum). 63 Northern Cave Bat (Vespade us caunnus). 64 Fmleysons Cave Bat (Vaspadelus fınlaysonı), 65 Eastern Cave Bat (Vespade us rroughtonı) 66 In and Forest Bat (Vespade us bavsrstodrı) 67 Eastern Forest Bat (Vespadelus pumılus), 68 Lıttle Forest Bat (Vespade/us vu/turnus) 69 Large Forest Bat (Vespadelus der! ngtonı), 70 Southern Forest Bat (Vespade us ragu us) 71 Large-eared P ed Bet (Cha noobus dwyerr) 72 L tt e Pıed Bat (Cha/ınolobus pıcarus). 73 Hoary Wettled Bet (Che/rnolobus rııgrogrısaus), 74 Gould's Wattled Bat (Chalınolobus gouldıı). 75 New Caledonıan Wattled Bat (Chalıno/obus neocaledonıcus) 76 Chocolate Wattled Bet (Chalnolobus morro), 77 New Zealand Long-taıled Bat (Chahnolobus ruberculetus)
Chocolate
Made by Youra Snegir at New City Artists Lab Source: Objaverse 1.0 / Sketchfab
Genomic structural variants constrain and facilitate adaptation in natural populations of Theobroma cacao, the Chocolate Tree
<p>Genomic structural variants (SVs) can play important roles in adaptation and speciation. Yet, the overall fitness effects of SVs are poorly understood, partly because accurate population-level identification of SVs requires multiple high-quality genome assemblies. Here, we use 31 chromosome-scale, haplotype-resolved genome assemblies of Theobroma cacao – an outcrossing, long-lived tree species that is the source of chocolate – to investigate the fitness consequences of SVs in natural populations. Among the 31 accessions, we find over 160 thousand SVs, which together cover eight times more of the genome than SNPs and short indels (125 Mb vs. 15 Mb). Our results indicate that a vast majority of these SVs are deleterious: they segregate at low frequencies and are depleted from functional regions of the genome. We show that SVs influence gene expression, which likely impairs gene function and contributes to the detrimental effects of SVs. We also provide empirical support for a theoretical prediction that SVs, particularly inversions, increase genetic load through the accumulation of deleterious nucleotide variants as a result of suppressed recombination.<br> Despite the overall detrimental effects, we identify individual SVs bearing signatures of local adaptation, several of which are associated with genes differentially expressed between populations. Genes involved in pathogen resistance are strongly enriched among these candidates, highlighting the contribution of SVs on this important local adaptation trait. Beyond revealing new empirical evidence for the evolutionary importance of SVs, these 31 de novo assemblies provide a valuable resource for genetic and breeding studies in T. cacao. </p>
The Effects of Dark Chocolate on Blood Pressure in Individuals With Mildly Elevated Blood Pressure
ClinicalTrials.gov study NCT02130141. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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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.