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Soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature data from Toolik Field Station, Toolik Lake, Alaska for 2007.
Weather data file for Arctic Tundra LTER site at Toolik Lake. Only the sensors that are measured every 10 minutes and averaged every three hours are include, i.e. soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature.
Evaporation pan data from the Jornada Basin LTER weather station, 1983-ongoing
This package contains data from an evaporation pan at the Jornada Basin LTER weather station in southern New Mexico, USA. Surface evaporation is measured weekly to twice weekly using an evaporation pan compatible with standard National Weather Service evaporation measurements. Measurements are made twice per week during hot periods because of the high evaporation rate. The following data is collected: number of days between measurements, beginning and ending measurement period, current, minimum, and maximum water temperature; initial water level; final water level; rainfall since last evaporation measurement, and calculated evaporation (inches). Data collection is ongoing.
Protein elution profiles accompanying "A pan-plant protein complex map reveals deep conservation and novel assemblies"
<p>Key to files</p> <p><strong>Experiment_Order.csv</strong></p> <ul> <li>Description: Meta details of each experiment.</li> <li>Format: experiment_name,ExperimentID_order,tissue,experiment_type,spec,ExperimentID</li> </ul> <p><strong>Fraction_Details.csv</strong></p> <ul> <li>Description: Meta details of each fraction</li> <li>Format:FractionID,frac_order,ExperimentID</li> </ul> <p><strong>plant_virNOG_orthology.csv.gz</strong></p> <ul> <li>Description: Conversion between orthogroup and protein IDs.</li> <li>Format:ID,ProteinID,spec</li> </ul> <p><strong>orthogroup_annotation.csv.gz</strong></p> <ul> <li>Description: Orthogroup annotations</li> <li>Format:ID,Annotation,arath_genenames,arath_Entries,arath_Entry_names,arath_Protein_names,disruptions,tair_disruptions,lloyd2012_LOFs,arath_functions,arath_misc,pathway,unipathway,BioCyc,Reactome,BRENDA,kegg_pws,ec,arath_masses,arath_protein_names,arath_GO,devstages,tissues,tair,araport,orysj_genenames,orysj_Entries,orysj_Entry_names,orysj_Protein_names,orysj_disruptions,orysj_functions,orysj_misc</li> </ul> <p><strong>panplant_tidy_elution_virNOG.csv.gz</strong></p> <ul> <li>Description: Tidy (long format) table of counts of peptide spectral matches (PSMs) for all observed <strong>orthogroups</strong> for all experiments. Includes parts per million in each fraction. </li> <li>Format: ExperimentID,FractionID,ID,Total_PeptideCount,spec,ExperimentID_order,FractionID_order,abundance_ppm</li> </ul> <p><strong>panplant_tidy_elution_protcount.csv.gz</strong></p> <ul> <li>Description: Tidy (long format) table of counts of peptide spectral matches (PSMs) for all observed <strong>proteins</strong> for all experiments. </li> <li>Format: ExperimentID,FractionID,ProteinID,ProteinCount,spec,ExperimentID_order,FractionID_order</li> </ul> <p><strong>panplant_wide_elution_virNOG.csv.gz</strong></p> <ul> </ul> <ul> <li>Description: Table of concatenated elution profiles of raw counts of peptide spectral matches (PSMs) for all observed <strong>orthogroups</strong></li> <li>Format: OrthogroupID,[Fractions]</li> </ul> <p><strong>panplant_wide_elution_virNOG_annot.csv.gz</strong></p> <ul> </ul> <ul> <li>Description: Table of concatenated elution profiles of raw counts of peptide spectral matches (PSMs) for all observed <strong>orthogroups</strong>, includes annotation columns.</li> <li>Format: OrthogroupID,[Annotations],[Fractions]</li> </ul> <p><strong>panplant_wide_elution_expnorm.csv.gz</strong></p> <ul> </ul> <ul> <li>Description: Table of concatenated elution profiles reporting per-fractionation experiment-normalized peptide spectral matches (PSMs) for all observed<strong> orthogroups</strong></li> <li>Format: OrthogroupID,[Fractions]</li> </ul> <p><strong>panplant_wide_elution_expnorm_annot.csv.gz</strong></p> <ul> </ul> <ul> <li>Description: Table of concatenated elution profiles reporting per-fractionation experiment-normalized peptide spectral matches (PSMs) for all observed<strong> orthogroups</strong>, including columns with annotations</li> <li>Format: OrthogroupID,[Annotations],[Fractions]</li> </ul> <p><strong>[experiment_name].virNOG.wide.gz</strong></p> <ul> <li>Description: Elution profile of raw counts of peptide spectral matches (PSMs) for all observed<strong> orthogroups</strong> in one experiment</li> <li>Format: OrthogroupID,[Fractions]</li> </ul> <ul> </ul> <p><strong>[experiment_name].protcount.wide.gz</strong></p> <ul> <li>Description: Elution profile of raw counts of peptide spectral matches (PSMs) counts for all observed <strong>proteins </strong>in one experiment</li> <li>Format: ProteinID,[Fractions]</li> </ul> <p><strong>[species]_specconcat.virNOG.wide.gz</strong></p> <ul> <li>Description: Table of concatenated elution profiles of raw counts of peptide spectral matches (PSMs) for all observed <strong>orthogroups </strong>from a particular species. Only present for species with more than one experiment. </li> <li>Format: OrthogroupID,[Fractions]</li> </ul> <p><strong>[species]_specconcat.protcount.wide.gz</strong></p> <ul> <li>Description: Table of concatenated elution profiles of raw counts of peptide spectral matches (PSMs) for all observed <strong>proteins</strong> from a particular species. Only present for species with more than one experiment. </li> <li>Format: ProteinID,[Fractions]</li> </ul> <p> </p> <ul> </ul> <p>Species codes</p> <p>|Code | Species | Common name | Use |<br> |---|---|---|<br> | arath | Arabidopsis Thaliana | Arabidopsis | <br> | braol | Brassica oleracea | Broccoli |<br> | cansa | Cannabis sativa | hemp | <br> | cerri | Ceratopteris richardii | C-fern | <br> | chlre | Chlamydomonas reinhardtii | Chlamydomonas |<br> | chqui | Chenopodium quinoa | Quinoa | <br> | orysj | Oryza sativa var. japonica | Rice |<br> | selml | Selaginella moellendorffii | Selaginella | <br> | sollc | Solanum lycopersicum | Tomato | <br> | wheat | Triticum Aestivum | Wheat | <br> | soybn | Glycine max | Soybean | <br> | cocnu | Cocos nucifera | Coconut | </p> <p>| maize | MAIZE | maize | </p> <p> </p>
FIGURE 5 in From the frying pan: an unusual dwarf shrub from Namibia turns out to be a new brassicalean family
FIGURE 5. Landsat image on which is shown the village of Tses in Namibia and the three seasonal pans (coloured green) from where Tiganophyton karasense is known at present: A = Groot Pan; B = Kleinvaalgras Pan; C = Pan at Middelplaas. These pans receive their drainage from the calcrete-covered Weissrand Plateau, the extensive palely coloured area dotted with darkly coloured depressions (dayas). Linear aeolian dunes of the Kalahari (KD) are visible in the upper right-hand corner of the image and believed to have covered the now exposed Weissrand Plateau in the distant past. Image: NASA, based on a tri-decadal global Landsat 7 orthorectified ETM+ Pan-sharpened image.
FIGURE 3. Tiganophyton karasense. A in From the frying pan: an unusual dwarf shrub from Namibia turns out to be a new brassicalean family
FIGURE 3. Tiganophyton karasense. A. Branchlet with short and long shoots; parts of oldest stem with scars left by withered short shoots. B. Short shoot with three flowers. C. Long shoot developing from apex of a short shoot. D. Long shoot leaves; dorsal view left, ventral view right. E. Short shoot leaves; dorsal view left, ventral view right. F. Semi-stylized depiction of a flower (in reality floral parts closely packed with gynophore tightly appressed to ovary), with calyx, two front stamens and a front petal removed. Note gynophore bent in near S-shape, horizontal orientated bilobed ovary, and gynobasic style (portion of style between ovary lobes indicated with stippling; ovary lobes opaque). G. Flower (side view). H. Calyx viewed from outside. I. Calyx opened out and viewed from inside. J. Nutlet. K. Flattened remains of flower with nutlet enclosed in the persistent calyx. Scale bar = 10 mm (A), or 1 mm (B–K). A, C, J & K from Swanepoel 364 and B & C–I from Swanepoel 365. Artist: Daleen Roodt.
FIGURE 1 in From the frying pan: an unusual dwarf shrub from Namibia turns out to be a new brassicalean family
FIGURE 1. Portion of the Brassicales phylogenetic tree based on three plastid (ndhF, matK and rbcL) and one mitochondrial (matR) markers. The core Brassicales clades comprise samples from Brassicaceae, Capparaceae, Cleomaceae, Resedaceae, Gyrostemonaceae, Pentadiplandraceae, Tovariaceae, and Emblingiaceae. Numbers on nodes are bootstrap percentages from the RAxML analysis.
FIGURE 4 in From the frying pan: an unusual dwarf shrub from Namibia turns out to be a new brassicalean family
FIGURE 4. Topographical map showing the known distribution (black dots) of Tiganophyton karasense in southeastern Namibia. The insert shows a map of southern Africa with names of countries; the grey rectangle indicates the area depicted by the topographical map.
FIGURE 2. Tiganophyton karasense. A. Plant habit and habitat. B in From the frying pan: an unusual dwarf shrub from Namibia turns out to be a new brassicalean family
FIGURE 2. Tiganophyton karasense. A. Plant habit and habitat. B. Part of an old long shoot showing short shoots with their rosettes of foliage leaves (mainly) and bracts. C. Young, actively elongating long shoots with short shoots not yet fully developed in leaf axils; arrows indicate where a long shoot emerges from the apex of a short shoot. D. Long shoot densely covered with short shoots, the latter bearing flowers. Photographs: W. Swanepoel.
A Synoptic Map of Halo Substructures from the Pan-STARRS1 3π Survey
<p>Panoramic maps of the entire Milky Way halo north of Dec. ~ -30 degrees (~30,000 deg^2), constructed by applying the matched-filter technique to the Pan-STARRS1 3π Survey dataset. The details can be found in Bernard et al. 2016 (http://adsabs.harvard.edu/abs/2016arXiv160706088B).</p> <p>mf_26dist_equ_FeHm1.5_12gyr_gr.fits.gz contains the 26 distance slices from 3.5 to 35 kpc obtained using the [Fe/H]=-1.5 and 12 Gyr old model in the g,r bands.</p> <p>In mfstack_equ_FeHm1.5_12gyr_gri.fits.gz, the g,r and g,i models have been combined, and slices have been co-added to obtain 3 broad distance ranges.</p> <p>Best seen in SAOImage DS9, opened as multi-extension cubes, in log scale and inverted colour map, and smoothed with a 3pix Gaussian. </p>
Documentation of a Pyu inscription (PYU096) U Ja-pan, Pyay, private collection
<p>This data set includes photographs (.jpg), an RTI (.ptm), and related files documenting a Pyu inscription (inventory number PYU001) held at the Archaeological Museum at Halin. The photographer was James Miles or Archeovision, working on behalf of the Pyu epigraphy sub-project (PI, Nathan W. Hill of SOAS University of London) of the ERC synergy grant "Beyond Boundaries: Religion, Region, Language and the State" (Identifier: ASIA 609823) in collaboration with the project "From Vijayapuri to Sriksetra? The Beginnings of Buddhist Exchange across the Bay of Bengal as Witnessed by Inscriptions from Andhra Pradesh and Myanmar" (PI Arlo Giffiths of the EFEO) funded by The Robert H. N. Ho Family Foundation.</p>
Level A Pan Europe Solar Index for estimation of Potential evaporation February
Solar Index for estimation of Potential evaporation February. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Locations observation stations, E-HYPE 2.5
Shapefile showing the positions of gauging stations adjusted to the delineation and routing of E-HYPEv2.5 Original data source: GRDC-Europe, EWA stations, ES, baltex_stns, EWA. Tools for repurposing: WHIST. Spatial resolution: Locations. Data format: Shapefile containing the following information: SUBID Subbasin where station is positioned; DATA_SOURC=Original data source from where observations can be ordered; STATION_NO= ID of the gauging station; STATION=Name of station; X_EHYPEv2.5= x coordinate in decimal degrees adjusted for E-HYPEv2.5 delineation and routing; Y_EHYPEv2.5= y coordinate in decimal degrees adjusted for E-HYPEv2.5 delineation and routing. The dataset, Subbasin(EHYPE2pt5).zip (shapefile with subbasin polygons) can be linked with the data.
Level A Pan Europe Solar Index for estimation of Potential evaporation August
Solar Index for estimation of Potential evaporation August. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Solar Index for estimation of Potential evaporation March
Solar Index for estimation of Potential evaporation March. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module)
Level A Pan Europe Solar Index for estimation of Potential evaporation July
Solar Index for estimation of Potential evaporation July. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Solar Index for estimation of Potential evaporation Apr
Solar Index for estimation of Potential evaporation April. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Solar Index for estimation of Potential evaporation November
Solar Index for estimation of Potential evaporation November. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Subbasins, E-HYPE 3.0
This file is a shapefile with polygons defining hydrological watersheds (subbasins) with an average size of 215 km2 and the hydrological links (direction of flow) between them. The subbasins were automatically derived using the WHIST tool to delineate watersheds using the hydrologically corrected DEMs Hydrosheds (and Hydro1K north of 60 degrees). Some manual adjustments were made. The data has been quality checked against published values of catchment areas for European gauging stations. Original data source was HydroSHEDS Hydro1k and WHIST was used for repurposing. The shapefile contains polygons with the following attributes: SUBID (unique ID of the subbasin), HAROID (ID of main river catchment, DOWN (ID of the downstream SUBID) , AREA (Area of subbasin in m2)
Level A Pan Europe Solar Index for estimation of Potential evaporation September
Solar Index for estimation of Potential evaporation September. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
Level A Pan Europe Solar Index for estimation of Potential evaporation May
Solar Index for estimation of Potential evaporation May. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
ScienceDex guides
Understand access before you commit
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.