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3,597 results for “white”

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zenodo44/100

White Hole Observation experiment

This set of data is the results from the white hole observation series in parallel to the multispectral data analysis. The 12 - M87 Experiment with quantum deflection effect have not yet been thoroughly studied nor analyzed.

opencc-by-4.0Sep 2021View details →

zenodo44/100

Ira Johnson White (w3296)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Ira Johnson White musiXplora-ID: w3296 musiXplora-URI: <a href="https://musixplora.de/mxp/w3296">https://musixplora.de/mxp/w3296</a> Gender: m Date of Birth: 1813 Place of Birth: Undefined Date of Death: 1895 Place of Death: Undefined First Mentioned: 1838 Sectors: Instrumentenbau Professions (Musical): Geigenbauer Other Places of Activity: Melrose/MA Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

zenodo44/100

Henderson N. White (w3069)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Henderson N. White musiXplora-ID: w3069 musiXplora-URI: <a href="https://musixplora.de/mxp/w3069">https://musixplora.de/mxp/w3069</a> Gender: m Date of Birth: 16 July 1874 Place of Birth: Undefined Date of Death: 26 March 1940 Place of Death: Undefined First Mentioned: 1895 Sectors: Handel, Instrumentenbau Professions (Musical): Blechblasinstrumentenbauer Main Place of Activity: Cleveland/OH Portfolio: <table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Mundstück für Polsterzungeninstrumente</td><td><a href="https://musixplora.de/mxp/2003542">2003542</a></td></tr></tbody></table> Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

zenodo44/100

Tomas White (w2778)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Tomas White musiXplora-ID: w2778 musiXplora-URI: <a href="https://musixplora.de/mxp/w2778">https://musixplora.de/mxp/w2778</a> Gender: m First Mentioned: 1820 Sectors: Klavierbau Professions (Musical): Klavierbauer Other Places of Activity: London Titel/Medien: <table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Kinsky 1910</td><td>Besaitete Tasteninstrumente, Orgeln und orgelartige Instrumente, Friktionsinstrumente. Katalog des Musikhistorischen Museums von Wilhelm Heyer in Cöln. Erster Band</td><td><a href="https://musixplora.de/mxp/5002021">5002021</a></td></tr></tbody></table> Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

zenodo44/100

High quality white matter reference tracts

Overview This dataset contains segmentations of 72 white matter tracts obtained from 105 subjects included in the Human Connectome Project (HCP) young adult dataset (https://www.humanconnectome.org/study/hcp-young-adult). The folder names correspond to the ID of the HCP subjects. This dataset only contains the tracts. It does not contain the original DWI data. This has to be downloaded from the HCP website (it is free, but you have to register to get access). The data is part of the following publication:  <a href="https://doi.org/10.1016/j.neuroimage.2018.07.070">Wasserthal et al., TractSeg - Fast and accurate white matter bundle segmentation. NeuroImage (2018)</a>. If you use the data please cite the paper.   Details for generating corresponding whole brain tractograms The tracts were extracted semi-automatically from whole-brain tractograms. For a detailed description of the tract segmentation process please refer to the paper. The following MRtrix (http://www.mrtrix.org/) commands were used to obtain the whole-brain tractograms: 5ttgen fsl T1w_acpc_dc_restore_brain.nii.gz 5TT.mif -premasked dwi2response msmt_5tt Diffusion.nii.gz 5TT.mif RF_WM.txt RF_GM.txt RF_CSF.txt -voxels RF_voxels.mif -fslgrad Diffusion.bvecs Diffusion.bvals dwi2fod msmt_csd Diffusion.nii.gz RF_WM.txt WM_FODs.mif RF_GM.txt GM.mif RF_CSF.txt CSF.mif -mask nodif_brain_mask.nii.gz -fslgrad Diffusion.bvecs Diffusion.bvals tckgen -algorithm iFOD2 WM_FODs.mif output.tck -act 5TT.mif -backtrack -crop_at_gmwmi -seed_image nodif_brain_mask.nii.gz -maxlength 250 -minlength 40 -number 10M -cutoff 0.06 -maxnum 0 For "CA", "IFO_left", "IFO_right", "UF_left", "UF_right" we used tracking without anatomical constraints: tckgen -algorithm iFOD2 WM_FODs.mif output.tck -seed_image nodif_brain_mask.nii.gz -maxlength 250 -minlength 40 -number 10M -cutoff 0.06 -maxnum 0 Due to their enormous size, the whole brain tractograms corresponding to the segmented tracts are not included this dataset. Please contact the author of the paper if you are interested in these tractograms.   Included tracts 1: AF_left         (Arcuate fascicle) 2: AF_right 3: ATR_left        (Anterior Thalamic Radiation) 4: ATR_right 5: CA              (Commissure Anterior) 6: CC_1            (Rostrum) 7: CC_2            (Genu) 8: CC_3            (Rostral body (Premotor)) 9: CC_4            (Anterior midbody (Primary Motor)) 10: CC_5           (Posterior midbody (Primary Somatosensory)) 11: CC_6           (Isthmus) 12: CC_7           (Splenium) 13: CG_left        (Cingulum left) 14: CG_right    15: CST_left       (Corticospinal tract 16: CST_right  17: MLF_left       (Middle longitudinal fascicle) 18: MLF_right 19: FPT_left       (Fronto-pontine tract) 20: FPT_right  21: FX_left        (Fornix) 22: FX_right 23: ICP_left       (Inferior cerebellar peduncle) 24: ICP_right  25: IFO_left       (Inferior occipito-frontal fascicle)  26: IFO_right 27: ILF_left       (Inferior longitudinal fascicle)  28: ILF_right  29: MCP            (Middle cerebellar peduncle) 30: OR_left        (Optic radiation)  31: OR_right 32: POPT_left      (Parieto‐occipital pontine) 33: POPT_right  34: SCP_left       (Superior cerebellar peduncle) 35: SCP_right  36: SLF_I_left     (Superior longitudinal fascicle I) 37: SLF_I_right  38: SLF_II_left    (Superior longitudinal fascicle II) 39: SLF_II_right 40: SLF_III_left   (Superior longitudinal fascicle III) 41: SLF_III_right  42: STR_left       (Superior Thalamic Radiation) 43: STR_right  44: UF_left        (Uncinate fascicle)  45: UF_right  46: CC             (Corpus Callosum - all) 47: T_PREF_left    (Thalamo-prefrontal) 48: T_PREF_right  49: T_PREM_left    (Thalamo-premotor) 50: T_PREM_right  51: T_PREC_left    (Thalamo-precentral) 52: T_PREC_right  53: T_POSTC_left   (Thalamo-postcentral) 54: T_POSTC_right  55: T_PAR_left     (Thalamo-parietal) 56: T_PAR_right  57: T_OCC_left     (Thalamo-occipital) 58: T_OCC_right  59: ST_FO_left     (Striato-fronto-orbital) 60: ST_FO_right  61: ST_PREF_left   (Striato-prefrontal) 62: ST_PREF_right  63: ST_PREM_left   (Striato-premotor) 64: ST_PREM_right  65: ST_PREC_left   (Striato-precentral) 66: ST_PREC_right  67: ST_POSTC_left  (Striato-postcentral) 68: ST_POSTC_right 69: ST_PAR_left    (Striato-parietal) 70: ST_PAR_right  71: ST_OCC_left    (Striato-occipital) 72: ST_OCC_right   Cross-validation data splits The following data splits were used for cross-validation in the TractSeg paper: <pre><code class="language-python">fold1 = ['992774', '991267', '987983', '984472', '983773', '979984', '978578', '965771', '965367', '959574', '958976', '957974', '951457', '932554', '930449', '922854', '917255', '912447', '910241', '907656', '904044'] fold2 = ['901442', '901139', '901038', '899885', '898176', '896879', '896778', '894673', '889579', '887373', '877269', '877168', '872764', '872158', '871964', '871762', '865363', '861456', '859671', '857263', '856766'] fold3 = ['849971', '845458', '837964', '837560', '833249', '833148', '826454', '826353', '816653', '814649', '802844', '792766', '792564', '789373', '786569', '784565', '782561', '779370', '771354', '770352', '765056'] fold4 = ['761957', '759869', '756055', '753251', '751348', '749361', '748662', '748258', '742549', '734045', '732243', '729557', '729254', '715647', '715041', '709551', '705341', '704238', '702133', '695768', '690152'] fold5 = ['687163', '685058', '683256', '680957', '679568', '677968', '673455', '672756', '665254', '654754', '645551', '644044', '638049', '627549', '623844', '622236', '620434', '613538', '601127', '599671', '599469']</code></pre> Hyperparameters were optimized using fold 1-3 for training and fold 4 for validation. The final 5-fold cross-validation (results reported in the TractSeg paper) was done by always training on 3 folds, selecting the best epoch by evaluating on the fourth fold and then reporting the final results (of the model from the best epoch) on the fifth fold. The pretrained TractSeg model which will automatically be used when you download TractSeg was trained on fold1+fold2+fold3. Please use the same data splits to make your work comparable.   Data format From version 1.2.0 of this dataset onwards it uses the newest trackvis (trk) standard (using nibabel.streamlines API). Streamlines are saved in native voxel space and when loaded are transformed to coordinate space using the affine stored in the trk file header. In the previous versions of the dataset the older nibabel.trackvis API was used (streamlines are saved in real coordinate space and no affine is applied when loading them).

opencc-by-nc-4.0Dec 2017View details →

zenodo44/100

Water Body Checklists 2019: White Sea Species List

Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the White Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.

opencc-by-4.0Aug 2024View details →

zenodo44/100

Water Body Checklists: White Sea Species List

opencc-zeroAug 2024View details →

zenodo44/100

Nitrite content in powders from plasma-activated egg whites

These are source data collected to determine the effects of three quantitative independent variables—plasma treatment time, the distance of the plasma source from the surface of egg whites, and drying temperature—on the nitrite concentration (mg·kg⁻¹) in powdered plasma-treated egg whites sourced from both hens and ostriches. The experimental ranges for these variables were as follows: plasma treatment time (20-180 minutes), plasma source distance (10-30 cm), and drying temperature (40-50 °C). The analysis of nitrite content in all samples was conducted according to the method of Lee et al. (2018) with some modifications. A design comprising 20 experimental runs was generated using Design Expert (version 11) software (Stat-Ease, Inc., USA).

opencc-zeroSep 2024View details →

zenodo44/100

3D Archaeological Greek Pottery: PT-PC-Athens-1814, Attic white ground lekythos, Sappho Painter

This 3D dataset is related to the publication: <ul> <li>Moitinho de Almeida, V. (2023). "<a href="https://www.researchgate.net/publication/353038967_Contributions_of_3D_digital_methods_and_techniques_to_the_study_of_ancient_pottery">Contributions of 3D digital methods and techniques to the study of ancient pottery</a>". In Myths, Gods, and Heroes. Greek vase collections in Portugal / Mitos, Deuses e Heróis. As coleções de vasos gregos em Portugal. R. Morais, R. Centeno, D. Ferreira (eds.). Câmara Municipal de Santa Maria da Feira - Museu Convento dos Lóios; Reitoria da Universidade do Porto; Faculdade de Letras da Universidade do Porto; Imprensa da Universidade de Coimbra. Pp.269-291. (ISBN: 978-989-8183-25-5)</li> </ul> 3D processed dataset for object Athens-1814 from a private collection in Portugal. CC BY-NC-SA 4.0 license. Athens-1814 is an Attic white ground lekythos, Sappho Painter, dating from c. 490 BCE, and from the Necropolis of Piraeus, Athens (Edward Dodwell, before 1805) (Morais et al., 2021). Aims: 3D digital documentation; morphological characterization; technological and functional analysis of archaeological Greek pottery. Data acquisition: at the Museu de História Natural e da Ciência da Universidade do Porto (MHNC-UP), with a portable non-contact structured white light scanner, Breukmann smartSCAN3D-HE, equipped with stereo colour cameras at 250 mm FOV. Additional metadata included in associated spreadsheet. Data processing: 26 scans aligned and merged. PT-PC-Athens-1814_3D01.ply: non-manifold edges, self-intersections, small components, and small tunnels in the mesh automatically fixed, noise data removed; orientation and position normalised. PT-PC-Athens-1814_3D01-holesFilled.ply: holes filled for calculation of material density, filling volume, and centre of mass. Mesh is not watertight (inner surface not digitised due to occlusion). Additional metadata included in associated spreadsheet. Access to the Athens-1814 was granted by its private collector. When citing this material: please include the original inventory ID (Athens-1814) reference to the physical object.

opencc-by-4.0Jul 2021View details →

zenodo44/100

Transcriptomic analyses of normal-appearing CNS white matter from multiple sclerosis donors reveal subtype-specific molecular signatures of disease (REVISED)

Datasets of bulk RNA-sequencing of NAWM from MS donors + supplementary images of RNA deconvolution of cell trajectories

opencc-by-4.0Dec 2022View details →

zenodo44/100

Data for "Randomizing the Growth of Silica Nanofibers for Whiteness"

This dataset contains the raw data used for the publication "Randomizing the Growth of Silica Nanofibers for Whiteness".

opencc-by-4.0May 2023View details →

zenodo44/100

Dataset: Green light during incubation: effects on hatching characteristics in brown and white laying hens

Dataset used for the paper "Green light during incubation: effects on hatching characteristics in brown and white laying hens". Abstract: Providing light during incubation is being investigated as a method to improve welfare in later life in poultry. This incubation method would more closely approximate chicken natural environment compared to the current incubation in darkness. Previous studies showed promising results of light during incubation on broiler welfare, but little is known about effects of light during incubation on laying hens. Especially, information about its effects on hatching characteristics (hatch time, hatchability, chick quality, body weight and embryonic age of death) is scarce and requires investigation in both white and brown egg layers. In the current study, Dekalb White (DW) and ISA Brown (ISA) eggs were incubated in complete darkness (dark) or in a light:dark cycle of 12L:12D throughout incubation (light), resulting in four treatment groups: DW-dark, DW-light, ISA-dark, and ISA-light. In the light treatments, green LEDs of 520nm wavelength were used, at an intensity of 400 lux. First, light transmission through the eggshell was measured through 27 eggs. Then, an analysis of the effects of light during incubation on hatching characteristics was performed on 711 chicks in two consecutive experimental rounds. Light transmission was higher through white eggshells than through brown eggshells (N = 27, p < 0.001). Light during incubation had no effects on hatching characteristics (N = 711, p ≥ 0.1). Despite the difference of light transmission through eggshell between hybrids, there was no interaction between incubation treatment and hybrid on hatching characteristics (N = 471, p ≥ 0.06). Hatch time was longer and navel quality was better in DW than in ISA, while body weight and embryonic age of death were lower in DW than in ISA (all p < 0.001). Males and females had similar chick quality scores except for the beak quality, which was better for males (N = 486, p = 0.003). To conclude, green light during incubation did not negatively affect hatching characteristics in either DW nor ISA laying hen hybrids. Future research should therefore focus on its potential benefits for laying hen welfare.

opencc-by-4.0Dec 2022View details →

edi44/100

Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017

Dissolved organic carbon concentrations were measured over a period of 4 decades in a 3rd-order reach of White Clay Creek, a stream with a forested riparian zone in the Southeastern Pennsylvania Piedmont. Stream water was filtered through pre-combusted glass fiber filters and analyzed in a variety of dissolved organic carbon analyzers. The data have been used to investigate organic matter biogeochemistry and the role of dissolved organic matter in supporting heterotrophic metabolism in the stream.

openCC (other)May 2019View details →

edi44/100

High-frequency sensor data collected by Stroud Water Research Center in a meadow reach of White Clay Creek from February 2016 through December 2016

High-frequency sensor data from a YSI 600 OMS Optical Monitoring System (every 15 minutes) and Sontek IQ (every 10 minutes) in a meadow reach at White Clay Creek from February through December 2016. Funded by NSF and DEB as part of the LTREB grant to study the recovery of stream ecosystem structure and function during reforestation, Stroud Water Research Center. The parameters in this data package are water temperature, depth, turbidity, conductivity, specific conductance, water pressure, discharge, rivers ection area, and velocity. Data are presented in four tables which likely have significant overlap. The raw data table presents the data exactly as it was downloaded from the Aquarius Database. It is formatted as a "wide" human-readable table. IQ_stream and YSI_stream present only the data from the respective sensors. These tables are gapfilled so that there are no time gaps. Formatted as a "wide" human-readable table. The full_stream table is all of the data, raw and cleaned, from both sensors. It is organized as a long, tidy table and is optimal for machine readability. All of the parameters and table are further explained in the metadata.

openCC (other)Aug 2020View details →

edi44/100

High-frequency sensor data collected by Stroud Water Research Center in a meadow reach of White Clay Creek from Janurary 2017 through December 2017

High-frequency sensor data from a YSI 600 OMS Optical Monitoring System (every 15 minutes) and Sontek IQ (every 10 minutes) in a meadow reach at White Clay Creek from January 2017 through December 2017. Funded by NSF and DEB as part of the LTREB grant to study the recovery of stream ecosystem structure and function during reforestation, Stroud Water Research Center. The parameters in this data package are water temperature, depth, turbidity, conductivity, specific conductance, water pressure, discharge, rivers ection area, and velocity. Data are presented in four tables which likely have significant overlap. The raw data table presents the data exactly as it was downloaded from the Aquarius Database. It is formatted as a "wide" human-readable table. IQ_stream and YSI_stream present only the data from the respective sensors. These tables are gapfilled so that there are no time gaps. Formatted as a "wide" human-readable table. The full_stream table is all of the data, raw and cleaned, from both sensors. It is organized as a long, tidy table and is optimal for machine readability. All of the parameters and table are further explained in the metadata.

openCC (other)Aug 2020View details →

edi44/100

High-frequency sensor data collected by Stroud Water Research Center in a meadow reach of White Clay Creek from Janurary 2018 through December 2018

High-frequency sensor data from a YSI 600 OMS Optical Monitoring System (every 15 minutes) and Sontek IQ (every 10 minutes) in a meadow reach at White Clay Creek from January 2018 through December 2018. Funded by NSF and DEB as part of the LTREB grant to study the recovery of stream ecosystem structure and function during reforestation, Stroud Water Research Center. The parameters in this data package are water temperature, depth, turbidity, conductivity, specific conductance, water pressure, discharge, rivers ection area, and velocity. Data are presented in four tables which likely have significant overlap. The raw data table presents the data exactly as it was downloaded from the Aquarius Database. It is formatted as a "wide" human-readable table. IQ_stream and YSI_stream present only the data from the respective sensors. These tables are gapfilled so that there are no time gaps. Formatted as a "wide" human-readable table. The full_stream table is all of the data, raw and cleaned, from both sensors. It is organized as a long, tidy table and is optimal for machine readability. All of the parameters and table are further explained in the metadata.

openCC (other)Sep 2020View details →

edi44/100

Bird Abundances at the Hubbard Brook Experimental Forest (1969-present) and on three replicate plots (1986-2000) in the White Mountain National Forest (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/355/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-hbr/81/7. The abstract below was extracted from the Level 0 data package and is included for context: Bird abundances have been determined from timed censuses, territory maps and nest locations at the Hubbard Brook Experimental Forest from 1969 to the present. This data set includes counts of the number of adult birds (males and females) per 10 ha at HBEF (1969 - present) and on three additional plots within the White Mountain National Forest (1986 - 2000). These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Aug 2021View details →

edi44/100

Lapland longspur and Gambel's white crowned sparrow egg and nestling survival near Toolik Field Station, Alaska, summers 2012-2016

This data set contains information about the daily status (alive/ dead) of Lapland longspur and Gambel's white-crowned sparrow eggs and nestlings studied near Toolik Field Station from 2012 to 2016 under National Science Foundation (NSF) Office of Polar Programs ARC 0908444 (to Laura Gough), ARC 0908602 (to Natalie Boelman), and ARC 0909133 (to John Wingfield). It is associated with publication DOI: 10.1111/jav.01712.

openCC (other)Jul 2018View details →

edi44/100

Autumn departure from breeding site (date and time) in Gambel's white crowned sparrows near Toolik Field Station, Alaska, summers 2014-2016

This data set contains information about an automated radio-telemetry study conducted near Toolik Field Station examining the date that adult male and female Gambel's white-crowned sparrows (Zonotrichia leucophrys gambelli) depart the breeding site relative to the timing of breeding and sunrise/ sunset. It was funded, in part, through ARC 0909133 (to John Wingfield) and ARC 1147289 (to Marilyn Ramenofsky). It is associated with publication: https://doi.org/10.1007/s10336-020-01754-z.

openCC (other)Jan 2020View details →

edi44/100

Soil Water (Lysimeter) Chemistry for Mature Balsam Poplar and White Spruce for BCEF

This dataset includes soil water samples (lysimeter samples) collected from mature balsam poplar (BP1, BP2 and BP3) and white spruce (FP4A, FP4B, FP4C) stands during 2000 and 2001. Five Lysimeter were installed at 12 cm and four at the 40 cm in each stand type. Water from the Tanana River and small, non-silt, streams on the eastern portion of the floodplain were collected during many sampling periods.

openOpenDec 2003View details →

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record