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1,764 results for “ER”
2001_2019_MODIS_Fourier Processed_1k_ER
<p><strong>Overview:</strong></p> <p>This is a set of images produced by Temporal Fourier Analysis of global MODIS data</p> <p>NDVI: Normalised Difference Vegetation Index</p> <p>EVI: Enhanced Vegetation Index</p> <p>MIR: Middle Infra-Red</p> <p>DLST: Day-time Land Surface Temperature</p> <p>NLST: Night-time Land Surface Temperature</p> <p> </p> <p><strong>Abstract: </strong></p> <p>MODIS is a sensor on board two NASA satellites, providing near-daily coverage of the entire Earth. The MOD11A2 product contains an 8-day average of land surface temperature at 1-kilometre resolution. Reflectance values have been adjusted to remove the distortion caused by the view angle and land surface texture. The MOD13A2 Product used for NDVI, EVI, and Middle Infra-red from USGS. The imagery summarises key environmental indicators, incorporating seasonal dynamics, for the MOOD study area.</p> <p>This is the original version of the 2001-2019 series, which was then processed by a temporal Fourier processing algorithm.</p> <p>A stepwise system of thresholds and interpolations screened erroneous values and bridged gaps in the time series. The smoothed series was sampled at 5-day intervals and transformed into a set of sine curves describing annual, bi-annual, and tri-annual fluctuations. For each of these curves, the Fourier algorithm generated images expressing the amplitude, phase, and variance. Other outputs recorded the mean, minimum, and maximum of the time series, and error measured during the Fourier transform. For a detailed description of the Fourier algorithm and its output, please see the article by Scharlemann et al., 2008 (https://doi.org/10.1371/journal.pone.0001408)<br> Sea pixels were masked with a MODIS land/sea layer and the images were projected from sinusoidal to geographic. The MOOD study region was a subset of global images. Idrisi rasters were converted to Geotiff format to give data users more flexibility<br> </p> <p><strong>File naming scheme:</strong></p> <p><br> The er at the start of each file name indicates that the image covers the wider Europe and North Africa region included in the MOOD study area and is in geographic projection. 19 refers to the year timeline of 2001-2019.<br> <br> The next two characters identify the channel:<br> 03 - middle infra-red<br> 07 - daytime land surface temperature<br> 08 - nighttime land surface temperature<br> 14 - NDVI: Normalised Difference Vegetation Index<br> 15 - EVI: Enhanced Vegetation Index<br> <br> The last two characters of each file name denote the output from Fourier processing:<br> a0 - mean<br> mn - minimum<br> mx - maximum<br> a1 - amplitude of annual cycle<br> a2 - amplitude of bi-annual cycle<br> a3 - amplitude of tri-annual cycle<br> p1 - phase of annual cycle<br> p2 - phase of bi-annual cycle<br> p3 - phase of tri-annual cycle<br> d1 - variance in annual cycle<br> d2 - variance in bi-annual cycle<br> d3 - variance in tri-annual cycle<br> da - combined variance in annual, bi-annual, and tri-annual cycles<br> vr - variance in raw data</p> <p><br><strong>Projection + EPSG code:</strong><br>Latitude-Longitude/WGS84 (EPSG: 4326)<br><strong>Spatial extent:</strong><br>Extent -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716<br><strong>Spatial resolution:</strong><br>0.0083333 deg (approx. 1000 m) <br><strong>Temporal resolution:</strong><br> 8-day and 16-day from 2001 to 2019</p> <p><br><strong>Pixel values</strong></p> <p>Parameter Fourier Variable Image values are<br>MIR (03) A0, A1, A2, A3, Min, Max, Vr Reflectance values * 10000<br>LST (07 day,08 night) A0, A1, A2, A3, Min, Max, Vr (Degrees Centigrade+273)*50<br>NDVI (14) and EVI (15) A0, A1, A2, A3, Index Value * 1000<br>NDVI (14) and EVI (15) A0, Min, Max, Index Value * 1000 + 10000<br>NDVI (14) and EVI (15) VR Value * 10000<br>ALL D1,D2,D3,Da Percentages<br>ALL E1,E2,E3 Percentages<br>ALL P1,P2.P3 Months*100. (Jan=100)</p> <p><br><strong>Source: </strong><br>MODIS NASA :MOD11A2 and MOD13A2</p> <p><br><strong>Software used:</strong><br>Codes for modelling are in Python and C++<br>The software used for map production is ESRI ArcMap 10.8</p> <p><br><strong>License: </strong>CC-BY-SA 4.0<br><strong>Processed by:</strong><br>ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project</p>
2006_2022_MODIS_EnhancedVegetationIndex_5k_ER
<p>MODIS 16-day Enhanced Vegetation Index, 5km, 2006-2022. </p> <p><strong>Abstract: </strong></p> <p>This is a reduced 5km resolution version of the 1km data used for Fourier Processed outputs provided in other datasets. It is designed for administrative-level analysis that uses covariate data that temporally matches the modeled variable. The data are directly extracted from the NASA archive and windowed for the MOOD study area.</p> <p> </p> <p><strong>File naming scheme:</strong> </p> <p>There are two zip files. One includes data from 2006 to 2021, and the second is for 2022. </p> <p>the files name are: moeve5km16day + year + day (out of 365) : moeve5km16day2022049.tif</p> <p> <br><strong>Projection + EPSG code:</strong><br>Latitude-Longitude/WGS84 (EPSG: 4326)<br><strong>Spatial extent:</strong><br>Extent -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716<br><strong>Spatial resolution:</strong><br>5k<br><strong>Temporal resolution:</strong><br>16-day from 2006 to 2022</p> <p><br><strong>Pixel values:</strong></p> <p>Vegetation Index</p> <p><strong>Source: </strong><br>MODIS NASA : MOD13C1</p> <p><br><strong>Software used:</strong><br> <br>The software used for map production is ESRI ArcMap 10.8</p> <p><br><strong>License: </strong>CC-BY-SA 4.0</p> <p><br><strong>Processed by:</strong><br>ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project</p> <p> </p> <p> </p> <p> </p> <p> </p>
2010_2022_MODIS_LandSurfaceTemperature_5k_ER
<p>MODIS daily, decadal, and monthly land surface Temperature, 5km, 2010-2022. </p> <p><strong>Abstract:</strong></p> <p>This is a reduced 5km resolution version of the 1km data used for Fourier Processed outputs provided in other datasets. It is designed for administrative-level analysis that uses covariate data that temporally matches the modelled variable. The data are directly extracted from the NASA archive and windowed for the MOOD study area.</p> <p> </p> <p><strong>File naming scheme:</strong> </p> <p>Monthly Day LST : 2022 <a href="../api/records/13122960/draft/files/MOODMonthlyDLST2022.zip/content" target="_blank" rel="noopener noreferrer">MOODMonthlyDLST2022.zip</a> ; 2010 to 2021 <a href="../api/records/13122960/draft/files/MOODMonthlyDLST20102021.zip/content" target="_blank" rel="noopener noreferrer">MOODMonthlyDLST20102021.zip</a></p> <p>Monthly Night LST 2022 <a href="../api/records/13122960/draft/files/MOODMonthlyNLST2022.zip/content" target="_blank" rel="noopener noreferrer">MOODMonthlyNLST2022.zip</a> ; 2010 to 2021 <a href="../api/records/13122960/draft/files/MOODMonthlyNLST20102021.zip/content" target="_blank" rel="noopener noreferrer">MOODMonthlyNLST20102021.zip</a></p> <p>Decadal Day LST: 2022 <a href="../api/records/13122960/draft/files/MOODMOD11c2Dekadaldlst2022.zip/content" target="_blank" rel="noopener noreferrer">MOODMOD11c2Dekadaldlst2022.zip</a> ; 2010 to 2021 <a href="../api/records/13122960/draft/files/MOODMOD11C2DEKADALDLST20102021.zip/content" target="_blank" rel="noopener noreferrer">MOODMOD11C2DEKADALDLST20102021.zip</a></p> <p>Decadal Night LST: 2022 <a href="../api/records/13122960/draft/files/MOODMODC11dekadalnlst2022.zip/content" target="_blank" rel="noopener noreferrer">MOODMODC11dekadalnlst2022.zip</a> ; 2010 to 2021 <a href="../api/records/13122960/draft/files/MOODMOD11C2DEKADALNLST20102021.zip/content" target="_blank" rel="noopener noreferrer">MOODMOD11C2DEKADALNLST20102021.zip</a></p> <p>Daily Day LST: 2022 <a href="../api/records/13122960/draft/files/MOODMOD11C1DAILYDLST2022.zip/content" target="_blank" rel="noopener noreferrer">MOODMOD11C1DAILYDLST2022.zip</a> ; 2010 to 2021 <a href="13122960" target="_blank" rel="noopener noreferrer">MOODMOD11C1DAILYDLST20102021.zip</a></p> <p>Daily Night LST: 2022 <a href="13122960" target="_blank" rel="noopener noreferrer">MOODMOD11C1DAILYNLST2022.zip</a> ; 2010 to 2021 <a href="13122960" target="_blank" rel="noopener noreferrer">MOODMOD11C1DAILYNLST20102021.zip</a></p> <p><br><strong>Projection + EPSG code:</strong><br>Latitude-Longitude/WGS84 (EPSG: 4326)<br><strong>Spatial extent:</strong><br>Extent -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716<br><strong>Spatial resolution:</strong><br>5k<br><strong>Temporal resolution:</strong><br>Daily, Decadal, and monthly from 2010 to 2022</p> <p><strong>Pixel values</strong></p> <p>Temperature Degree</p> <p><br><strong>Source: </strong><br>MODIS NASA : MOD11A1</p> <p><br><strong>Software used:</strong><br> <br>The software used for map production is ESRI ArcMap 10.8</p> <p><br><strong>License: </strong>CC-BY-SA 4.0<br><strong>Processed by:</strong><br>ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project</p> <p> </p>
A JWST inventory of protoplanetary disk ices. The edge-on protoplanetary disk HH 48 NE, seen with the Ice Age ERS program
<p>JWST NIRSpec G395H spectrum for HH 48 NE edge-on disk, as analyzed in Sturm et al. (2023). DOI: 10.1051/0004-6361/202347512</p>
Single-cell datasets for cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2- breast tumor cells
<p>There are 7 files uploaded in the data.</p><p>tumor_preprocessed.h5ad: Full primary tumor dataset post-feature selection and standardization across three treatment conditions (0, 10, and 100 nM palbociclib). AnnData object format. 14 cell cycle features, phase labels and other cell metadata, and two PHATE dimensions for manifold visualization.</p><p>T47D_preprocssed.h5ad: Full dataset of main text T47D dataset post-feature selection and standardization across three treatment conditions (0, 10, and 100 nM palbociclib). AnnData object format. 14 cell cycle features, phase labels and other cell metadata, and two PHATE dimensions for manifold visualization.</p><p>sketched_integrated.h5ad: After downsample 6,000 (2,000 per condition) from T47D_preprocessed and tumor_preprocessed, we integrate the two datasets into one joint latent space using TRANSACT. Now included in the data are the consensus component columns ('0',..,'13'). AnnData object.</p><p>sketched_integrated_df.csv: sketched_integrated.h5ad in .csv format.</p><p>T47D_replicate_preprocessed: Replicate experimental dataset of T47D for supplementary analysis post-feature selection and standardization across three treatment conditions (0, 10, and 100 nM palbociclib). 15 cell cycle features (same 14 but with CDK6).</p><p>sketched_rep.h5ad: Representative downsample of the T47D_replicate_preprocessed. Selecting 6,000 cells (2,000 for each of the three treatment conditions) using kernel herding sketching. AnnData object.</p><p>sketched_rep_df.csv: Same data as sketched_rep.h5ad in csv format.</p><p>T47D_triplicate_preprocessed.h5ad: T47D biological replicate sample collected in triplicate form (three wells for 0, 10, and 100 nM of palbociclib). Wells were joined and the data were sketched down to 20,000 per condition.</p><p>T47D_triplicate_preprocessed.h5ad: T47D triplicate in .csv form.</p><p>tumor_2_preprocessed.h5ad: An additional tumor sample from a new patient with the same treatment conditions of palbociclib. Sketched down to 2,000 cells per condition.</p><p>tumor_2_preprocessed.csv: The additional tumor sample in .csv form.</p><p> </p><p>Further description of sketched_integrated: This is the joint dataset between the T47D and primary tumor, after subsampling using kernel herding sketching. This is a dataset consisting of T47D and primary tumor cells resected from a consented patient. The samples were imaged using iterative indirect immunofluorescent imaging (4i) to get proteomic measurements on a single-cell level. The T47D and tumor samples were gathered, cultured, and imaged separately. Each sample was treated with three conditions of CDK4/6 inhibitor palbociclib (control, 10 nM, and 100 nM). Then, we used kernel sketching to representatively downsample each dataset, selecting 2,000 from each of the three treatment conditions (6,000 cells from each of the two sources). We used an integration method called TRANSACT to integrate the two datasets into one shared, latent space. The dataset here is consisting of these 12,000 cells. The columns ('0','1',...'13') are the principal vectors of the joint latent space. After that, there are the columns of the standardized proteomic measurements of different cell cycle effectors, and biological annotations of interest. The standardization is done for each data source separately. Well refers to the treatment condition. 'prb_ratio' is a marker of if a cell is still proliferating or arrested, found by selecting the upper modality of pRB/RB values. 'phase' are cell cycle phase labels found by unsupervised clustering done on a handful of known cell cycle markers.</p>
Fig. 31 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 31. Photographs and line drawings of the basicranial region of M-2984 (A) and M-2967 (B) showing the morphology of the parabasisphenoid-basiocccipital suture. The suture in M-2984 is relatively straight and exhibits a remnant of the fenestra basicranialis (fb). The suture in M-2967 is rostrally curved and marked by two caudolateral processes of the parabasisphenoid. The fenestra basicranialis is obliterated. A rostrally convex ridge marking the insertion of the M. rectus capitis is present and has a rostral position on the parabasisphenoid in both specimens.
Fig. 25 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 25. Photographs and line drawings of the pterygoid in dorsolateral view showing the ossified dorsal wall that separates the canalis cavernosus (foreground) and the internal carotid canal, which terminates rostrally with the foramen caroticum laterale (fcl). This wall is penetrated by the foramen pro ramo nervi vidiani, which transmits the vidian nerve from the canalis cavernosus to the internal carotid canal. The ossification of the wall around this foramen is variable in the SMRS as seen in M-2992 (A, left), (B, right), and M-2991 (C, right). The prootic, which is not articulated in these photographs, lies above the pterygoid and participates in the foramen caroticum laterale and foramen pro ramo nervi vidiani.
Fig. 22 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 22. Photographs and line drawings of the basicranial region of M-2984 (A) and M-2966 (B) in caudoventral view. In M-2984, the chorda tympani nerve passes through a groove in the quadrate rather than through a fully enclosed foramen (canalis chorda tympani quadrati) as seen in M-2966. The path of the chorda tympani external to this opening is preserved in M-2984 and denoted here by an arrow.
Fig. 27 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 27. Photographs and line drawings of the left opisthotic in rostral (M-2964, A) and medial (M- 2992, B) views. The arrow marks the path of the glossopharyngeal nerve along the caudal wall of the cavum labyrinthicum (cl), which is formed by the processus interfenestralis of the opisthotic (pi). Note the differences in the ossification of the medial wall of the fenestra perilymphatica in the two specimens.
Fig. 19 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 19. Photographs and line drawings of the palatal surface of M-2985 (A) and M-2999 (B) showing the contacts of the palatine, maxilla, and foramen palatinum posterius. The most common condition in the SMRS is for the maxilla to form the lateral margin of this foramen (A). The palatines sometimes meet lateral to the foramen palatinum posterius on the ventral surface of the palate.
Fig. 18 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 18. Photographs and line drawings of the palatal surface of M-2979 (A), M-2974 (B), and M-2983 (C). The palatines obscure the vomer-pterygoid contact in M-2974. The shape of the vomer-pterygoid contact can be broadly rounded or obtuse as in M-2974 or the vomer can terminate caudally at a single point as in M-2983. The development of the rostral margin of pterygoid appears to be the major factor controlling the morphology of this character.
Fig. 30 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 30. Photographs and line drawings of the occipital and basicranial regions in M-2980 (A) and M- 2983 (B) (the least and most mature specimens in the SMRS). Note the relative ossification of the exoccipitals. IX? (B) marks the possible path of the glossopharyngeal nerve out of the recessus scalae tympani, which is delimited by small, processlike ossifications around the rim of the fenestra postotica.
Fig. 17 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 17. Photographs and line drawings of the palatal surface of M-2989 (A) and M-2958 (B). The paired foramina praepalatinum are exposed ventrally in M-2989, whereas they are concealed by caudal development of the premaxillae on the secondary palate in M-2958. Ventral exposure of these foramina is the most common condition within the SMRS.
Fig. 16 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 16. Photographs and line drawings of the relationships of the premaxillae, maxillae, and ventral margin of the apertura narium externa. The most common condition within the SMRS is for the maxillae to send small secondary processes over the premaxillae to form the ventral margin of aperture (A, M- 2967). This medial contact can be recessed such that the premaxillae still contribute to the ventral margin of aperture (B, M-2967). Sometimes the maxillae fail to meet medially above the premaxillae (C, M-2956).
Fig. 21 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 21. Photographs and line drawings of the incisura columella auris and surrounding basicranial region in M-2975 (A, left), M-2966 (B, right), and M-2983 (C, left). The incisura is open caudally in M- 2975, restricted caudally by a descending secondary process of the quadrate in M-2966, and restricted by an ascending secondary process of the quadrate in M-2983.
Fig. 14 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 14. Photograph and line drawing of the caudal margin of the right orbital floor in M-2985 as seen through the orbit. A relatively large and distinct foramen is present in the medial process of the jugal in this specimen, which represents a variant condition for the SMRS. The maxillary branch of the trigeminal nerve may pass through this foramen before traveling rostrally along the floor of the orbit to the foramen supramaxillare.
Fig. 12 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 12. Photographs and line drawings of the foramen nervi trigemini in right lateral (M-2983, A) and left lateral (M-2983, B; M-2988, C) views. Note the small foramen or groove in the dorsal margin of the foramen nervi trigemini that occurs as a variant in the SMRS.
Fig. 24 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 24. Photographs and line drawings of the dorsal surface of the pterygoid in M-2960 (A, left), the rostral end of the pterygoid in M-2982 (B, left), and lateral view of the rostral half of the pterygoid in M- 2960 (C, left). A fossa lying just rostral to the foramen caroticum laterale houses foramina involved in the transmission of the vidian nerve and vein. The anterior canalis nervi vidiani (acnv) transmits the vidian nerve and vein rostrally through the crista pterygoidea before it eventually bifurcates sending branches of the vidian onto the dorsal and ventral surfaces of the palate. Arrows mark the path of the vidian nerve through the foramen pro ramo nervi vidiani (A) and the anterior canalis nervi vidiani (C).
Fig. 11 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 11. Photographs and line drawings of the dorsal roof showing the relative development of the prefrontal process of the frontal in M-2985 (A) and M-2965 (B). Also note that the frontal does not participate in the orbit or temporal fenestration.
Fig. 35 in Postnatal Ontogeny Of The Skull In Th E Ex Tant North Am Eric An Turtle Sternotherus Odoratus (Crypto Dir A: Kinosterni Dae) G A B E S. B E V Er
Fig. 35. Examples of allometry trends in Sternotherus odoratus based on least squares regression model showing the best (A) and worst (B) fitted regressions on greatest length of the skull. The data are in millimeters and are log transformed.
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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)
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DANDI Archive for NWB datasets
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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.