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636 results for “LM”
Text-fig. 3. Upper Cretaceous to Oligocene/Miocene Sciadopityspollenites taxa, all scale bars in LM and SEM overview images 10 µm, scale bars in SEM detailed images 2 µm. a–f: cf. Sciadopityspollenites serratus from Vilui basin (Siberia), a – LM image, equatorial view, b – SEM equatorial overview with leptoma, c – detail SEM of leptoma? and echinate verrucae, d – LM image equatorial view, e – SEM of distal polar view, f – SEM detailed view of verrucate, echinate perforate sexine sculpturing; g–i: Sciadopityspollenites serratus from Bayerhof Maar (Germany), g – LM image of proximal polar side, h – SEM overview of distal polar side, i – SEM detail of verrucate, echinate, perforate sculpturing. in The Occurrence Of Pollen Of Sciadopityaceae Luerss. Through Time
Text-fig. 3. Upper Cretaceous to Oligocene/Miocene Sciadopityspollenites taxa, all scale bars in LM and SEM overview images 10 µm, scale bars in SEM detailed images 2 µm. a–f: cf. Sciadopityspollenites serratus from Vilui basin (Siberia), a – LM image, equatorial view, b – SEM equatorial overview with leptoma, c – detail SEM of leptoma? and echinate verrucae, d – LM image equatorial view, e – SEM of distal polar view, f – SEM detailed view of verrucate, echinate perforate sexine sculpturing; g–i: Sciadopityspollenites serratus from Bayerhof Maar (Germany), g – LM image of proximal polar side, h – SEM overview of distal polar side, i – SEM detail of verrucate, echinate, perforate sculpturing.
Text-fig. 2. Aptian to Albian Cerebropollenites taxa, all scale bars in LM and SEM overview images 10 µm, scale bars in SEM detailed images 2 µm. a–c: Cerebropollenites thiergartii from St. Pölten (Austria), a – LM image, equatorial view, b – SEM equatorial overview with visible, less sculptured leptoma, c – detail of echinate verrucae; d–f: Cerebropollenites thiergartii from Khovil basin (Mongolia), d – LM image polar view with well visible thin-walled leptoma, e – SEM of proximal polar view with faintly sculptures leptoma, f – SEM detailed view of transition from leptoma to normal sexine sculpturing; g–i: Cerebropollenites macroverrucosus from Khovil basin (Mongolia), g – LM image of oblique equatorial view, h – SEM of oblique equatorial view with concave leptoma, i – SEM detail of the rugulate to verrucate sexine and smaller sculpturing in leptoma area. in The Occurrence Of Pollen Of Sciadopityaceae Luerss. Through Time
Text-fig. 2. Aptian to Albian Cerebropollenites taxa, all scale bars in LM and SEM overview images 10 µm, scale bars in SEM detailed images 2 µm. a–c: Cerebropollenites thiergartii from St. Pölten (Austria), a – LM image, equatorial view, b – SEM equatorial overview with visible, less sculptured leptoma, c – detail of echinate verrucae; d–f: Cerebropollenites thiergartii from Khovil basin (Mongolia), d – LM image polar view with well visible thin-walled leptoma, e – SEM of proximal polar view with faintly sculptures leptoma, f – SEM detailed view of transition from leptoma to normal sexine sculpturing; g–i: Cerebropollenites macroverrucosus from Khovil basin (Mongolia), g – LM image of oblique equatorial view, h – SEM of oblique equatorial view with concave leptoma, i – SEM detail of the rugulate to verrucate sexine and smaller sculpturing in leptoma area.
Text-fig. 1. Extant Sciadopitys verticillata pollen. a–c: LM images (scale bars 10 µm), a – polar view, b – equatorial view, c – equatorial view with well visible thinning of proximal leptoma; d–e: SEM overview images (scale bar 10 µm), d – distal polar view, e – oblique equatorial view; f – equatorial view with leptoma at top; g–i: SEM detailed images (scale bars 2 µm), g – detail of verrucate, echinate, perforate sexine of distal pol, h – wall break displaying thin nexine and verrucate, echinate sexine, i – ripped open leptoma displaying transition from verrucate sculpturing to nearly psilate state. in The Occurrence Of Pollen Of Sciadopityaceae Luerss. Through Time
Text-fig. 1. Extant Sciadopitys verticillata pollen. a–c: LM images (scale bars 10 µm), a – polar view, b – equatorial view, c – equatorial view with well visible thinning of proximal leptoma; d–e: SEM overview images (scale bar 10 µm), d – distal polar view, e – oblique equatorial view; f – equatorial view with leptoma at top; g–i: SEM detailed images (scale bars 2 µm), g – detail of verrucate, echinate, perforate sexine of distal pol, h – wall break displaying thin nexine and verrucate, echinate sexine, i – ripped open leptoma displaying transition from verrucate sculpturing to nearly psilate state.
Dataset: Telefonaktiebolaget LM Ericsson (publ) (ERIC) 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.
Dataset: LM Funding America, Inc. (LMFA) 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 5 in Plant metabolite 5-pentadecyl resorcinol is produced by the Amazonian fungus Penicillium sclerotiorum LM 5679
Figure 5. Chemical structure of the isolated substance (5-pentadecyl resorcinol) by Penicillium sclerotiorum LM 5679.
Figure 4. HMBC 150 in Plant metabolite 5-pentadecyl resorcinol is produced by the Amazonian fungus Penicillium sclerotiorum LM 5679
Figure 4. HMBC 150 MHz (a) and HSQC 300 MHz (b) spectrum of the compound produced by Penicillium sclerotiorum LM 5679.
Figure 1 in Plant metabolite 5-pentadecyl resorcinol is produced by the Amazonian fungus Penicillium sclerotiorum LM 5679
Figure 1. Chromatographic fractionation of the compound produced by Penicillium sclerotiorum LM 5679.
Text-fig. 3. Geological map and schematic geological section of the discovery site of the Late Upper Palaeolithic skull from Moča (southern Slovakia). I. – Primary position (?), II. – The discovery site (secondary position), A – B – The schematic geological section of the discovery site 1. H – Fluvial clayey to sandy loams (subordinately humolites) – Holocene; secondary discovery site layer, 2. lm-pH – Loam – peat – Holocene, 3. e Wl – Eolian sands – Late Würm (Late glacial of Würm), 4. lm,sWl – Fluvial clayey (to humic) loams or fine sands – Late Würm (Late glas cial of Würm); original discovery site layer, now eroded, 4a. fe Wl – Fluvial – aeolian silty sands (calcareous) – Late Würm (Late glacial s-lm of Würm), 5. lmW3 – Fluvial loams, sandy loams – final Würm (W3), 5a. W3 – Fluvial sands – final (?) Würm (?W3), 6. gW2+3 – Fluvial gravs els, sandy gravels, sands with gravel – Pleniglacial of Würm (W2+3), 7. lW – Aeolian loess and loess loams – Würm (undivided) in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 3. Geological map and schematic geological section of the discovery site of the Late Upper Palaeolithic skull from Moča (southern Slovakia). I. – Primary position (?), II. – The discovery site (secondary position), A – B – The schematic geological section of the discovery site 1. H – Fluvial clayey to sandy loams (subordinately humolites) – Holocene; secondary discovery site layer, 2. lm-pH – Loam – peat – Holocene, 3. e Wl – Eolian sands – Late Würm (Late glacial of Würm), 4. lm,sWl – Fluvial clayey (to humic) loams or fine sands – Late Würm (Late glas cial of Würm); original discovery site layer, now eroded, 4a. fe Wl – Fluvial – aeolian silty sands (calcareous) – Late Würm (Late glacial s-lm of Würm), 5. lmW3 – Fluvial loams, sandy loams – final Würm (W3), 5a. W3 – Fluvial sands – final (?) Würm (?W3), 6. gW2+3 – Fluvial gravs els, sandy gravels, sands with gravel – Pleniglacial of Würm (W2+3), 7. lW – Aeolian loess and loess loams – Würm (undivided)
Text-fig. 4. Stutzeliastrobus bohemicus (BAYER) J.KVAČEK, Harcov. a – ovuliferous cone showing apical parts of bract-scale complexes, NM-F 4551, scale bar 10 mm, b – shoot with attached ovuliferous cone (Bayer 1914: fig. 21b; 1920: fig. 21b), NM-F 872, scale bar 1 mm, c – SEM of isolated shoot, NM-F 2840, scale bar 0.5 mm, d – LM of abaxial cuticle and hypodermis, NM-F 872b, scale bar 200 µm, e – LM of abaxial cuticle showing two stomatal bands (arrows) and hypodermis, NM-F 872b, scale bar 100 µm, f – LM of abaxial cuticle, detail of e showing stomata (arrows), NM-F 872b, scale bar 50 µm. in Stutzeliastrobus Bohemicus Comb. Nov. - Basal Cupressaceae Conifer From The Cenomanian Of The Bohemian Cretaceous Basin, Central Europe
Text-fig. 4. Stutzeliastrobus bohemicus (BAYER) J.KVAČEK, Harcov. a – ovuliferous cone showing apical parts of bract-scale complexes, NM-F 4551, scale bar 10 mm, b – shoot with attached ovuliferous cone (Bayer 1914: fig. 21b; 1920: fig. 21b), NM-F 872, scale bar 1 mm, c – SEM of isolated shoot, NM-F 2840, scale bar 0.5 mm, d – LM of abaxial cuticle and hypodermis, NM-F 872b, scale bar 200 µm, e – LM of abaxial cuticle showing two stomatal bands (arrows) and hypodermis, NM-F 872b, scale bar 100 µm, f – LM of abaxial cuticle, detail of e showing stomata (arrows), NM-F 872b, scale bar 50 µm.
Text-fig. 1. Zamites pateri J.KVAČEK sp. nov.; Pecínov locality, holotype, No. NM-F 5185. a: Holotype overview showing fragment of simply pinnate leaf, scale bar 20 mm. b: Abaxial cuticle showing costal and intercostal scale zones and stomata in ill-defined rows, LM micro-photograph, scale bar 100 µm. c: Pinnule detail showing venation pattern, scale bar 5 mm. d: Abaxial cuticle showing costal and intercostal zones, LM micro-photograph, scale bar 500 µm. e: Fragmentary preserved adaxial cuticle showing in New Species Of Zamites From The Cenomanian Of The Bohemian Cretaceous Basin
Text-fig. 1. Zamites pateri J.KVAČEK sp. nov.; Pecínov locality, holotype, No. NM-F 5185. a: Holotype overview showing fragment of simply pinnate leaf, scale bar 20 mm. b: Abaxial cuticle showing costal and intercostal scale zones and stomata in ill-defined rows, LM micro-photograph, scale bar 100 µm. c: Pinnule detail showing venation pattern, scale bar 5 mm. d: Abaxial cuticle showing costal and intercostal zones, LM micro-photograph, scale bar 500 µm. e: Fragmentary preserved adaxial cuticle showing
Betilo LM-83-73057
Betilo (LM-83-73057) de piedra trabajada del periodo calcolítico, procedente del yacimiento de Los Millares (Santa Fe de Mondújar, Almería). Source: Objaverse 1.0 / Sketchfab
Transformer LM for comparison in ARNLE paper
Open the record for dataset details and reuse information.
Text-fig. 13. Dispersed platanoid cuticle. a: LM; b: SEM, upper surface. s – stoma; b – hair base. in Angiosperm Diversification In The Early Cretaceous Of Primorye, Far East Of Russia
Text-fig. 13. Dispersed platanoid cuticle. a: LM; b: SEM, upper surface. s – stoma; b – hair base.
Figure 3. NMR 13C in Plant metabolite 5-pentadecyl resorcinol is produced by the Amazonian fungus Penicillium sclerotiorum LM 5679
Figure 3. NMR 13C (75 MHz) spectrum of the compound produced by Penicillium sclerotiorum LM 5679.
TECprobe-LM validation gel images
<p>Gel images collected during development of the linked multipoint Transcription Elongation Complex RNA structure probing (TECprobe-LM) method to assess the transcription roadblocking configurations that were used to capture RNA folding intermediates.</p>
lm-costa/TCC: TCC (CCBY)
<p>Este é o repositorio onde contem os dados e os codigos utilizados no meu TCC</p>
Standard Error Estimates for ARRI Ensemble LM model outputs
<p>Summary</p> <p>Basal area per acre (BAA) standard error estimate (SEE) for all trees, pine trees, and non-pine trees across three diameter at breast height (DBH) size classes, 2- to 10-inch, 10- to 14-inch, and 14+ inch. Models were informed by relative density rasters from 2018 Light Detection and Ranging (lidar) point clouds.</p> <p>Description</p> <p>The LM_SEE_rasters are modelled basal area per acre standard error estimate single band rasters. The units for the rasters’ are square foot per acre. Rasters are divided into three tree species groups: 'All' trees, 'Pine' trees (defined as trees of the genus<em> Pinus)</em>, and 'No-Pine' trees, and three size classes: LT 10 for trees with DBH between 2- and 10-inches, 10-14 for trees with DBH between 10- and 14- inch DBH, and GT 14 for trees with DBH greater than 14-inches.</p> <p>Ensemble linear regression models (LM) of estimated tree basal area per DBH class were created from Restore field plots and relative density canopy cover rasters, or RDCC (St. Peter, et al., 2023). This ensemble LM model was created using a custom R script that was based off the work detailed in Hogland, 2021. The ensemble LM script was modified to use the lm() function in place of the GAM modelling functions. The parameters used were 0.75 for the percent of data used to train the model (selected using random sampling with replacement), 50 models, and using gaussian family. The estimated BAA for each of the 50 ensemble LM models for each cell were averaged (mean) to produce the LM estimate, additionally the variability between these estimates was used to create the standard error estimate (SEE) for each cell. </p> <p>The 246 Restore field plots used to train the LM model of basal area include measurements of all trees within four non-overlapping 9m radius circular subplots within a 36m square plot. Tree diameter at breast height (DBH), species, count, and condition measurements were recorded. Measurements were summarized to the plot and DBH (square inches) was converted to basal area per acre (square feet per acre) using the formula 0.005454 * DBH^2. Restore field plots were measured in the Spring of 2018. The RDCC metrics are 5m resolution multiband rasters produced by applying a custom r software function that uses the r software’s ‘lidR’ package to produce forest metrics summarized from Light Imaging Detection and Ranging (LiDAR) point clouds. ARSA LiDAR is a combination of three collections, Block 2 and 3 were collected in early 2018 and has a NPS of 0.7-m using a Riegl VQ-1560i lidar system. Leon county LiDAR data has a nominal pulse spacing (NPS) of 0.35-m and was acquired between February 05, 2018 and April 25, 2018 using the Leica ALS80 HP SN8137 and SN8235 lidar systems. Choctawhatchee data was acquired in early 2017, using the Riegl LMS-Q1560 lidar system and has a NPS of 0.7-m. Rasters were generated in their vendor provided spatial projection before being reprojected to UTM Zone 16.</p> <p>The 5m resolution RDCC bands were summarized to 40x40m to correspond with the area of our plots and used as predictor variables in the models of all trees basal area. Each 5m pixel value represents the estimated standard error of the basal area per acre estimate as if it was the center of a 40x40m (8x8 cells) plot surrounding that pixel. </p> <p>References:</p> <p>Hogland, J. (2021). Ensemble Generalized Additive Models (EGAM). Retrieved from Jupyter Notebook: <a href="https://colab.research.google.com/drive/1GnRagruTUCoPJQZSkZ2vMKS9aAKgnhEw?usp=sharing">https://colab.research.google.com/drive/1GnRagruTUCoPJQZSkZ2vMKS9aAKgnhEw?usp=sharing</a></p> <p>St. Peter, Joseph, Drake, Jason, Medley, Paul, & Ibeanusi, Victor. (2023). Relative Density Canopy Cover Outputs for Leon Lidar data in the Florida Panhandle 2018 [Data set]. In Remote Sensing (Vol. 13, Number 23, p. 4763). Zenodo. <a href="https://doi.org/10.5281/zenodo.8222114">https://doi.org/10.5281/zenodo.8222114</a></p> <p>Credits</p> <p>This dataset was built by Joseph St. Peter of FAMU’s Center for Spatial Ecology and Restoration using 2018 LiDAR data funded by Leon County, Northwest Florida Water Management District, US Geological Survey and the USDA Forest Service and processed using the r package lidR. Restore plots were funded by the Gulf Coast Ecosystem Restoration Council (RESTORE Council) through an interagency agreement with the USDA Forest Service (17-IA-11083150-001) for the Apalachicola Tate’s Hell Strategy 1 project.</p> <p>Use Limitations</p> <p>This spatial data is based on various data collection and processing techniques as well as on modeling or interpretation. While this data uses the most current and complete information available at the time of production, spatial data and derivative products may vary in accuracy. Spatial data are often developed from sources of differing accuracy which may be accurate only at certain scales. This data has been quality checked but may contain spurious errors or be incomplete or inappropriate for certain uses. Spatial data products used for purposes other than those for which they were created, may yield inaccurate or misleading results. The USDA Forest Service, Florida A&M University, and the Center for Spatial Ecology & Restoration (CSER) reserves the right to correct, update, modify, remove or replace GIS products at any time and without notification. This data may not be distributed without written permission from the Center for Spatial Ecology & Restoration (CSER) at Florida A&M University, and/or the USDA Forest Service.</p>
Breastfeeding Support and Promotion Program to Improve the Health of Premature Babies (PAP-LM)
ClinicalTrials.gov study NCT06653595. IPD Sharing: NO. Countries: 1. Publications: 11.
Supplementary material 4 from: Santos APM, Dumas LL, Henriques-Oliveira AL, Souza WRM, Camargos LM, Calor AR, Pes AMO (2020) Taxonomic Catalog of the Brazilian Fauna: order Trichoptera (Insecta), diversity and distribution. Zoologia 37: 1-13. https://doi.org/10.3897/zoologia.37.e46392
Brazilian states plus the Federal District, with approximate area and caddisfly species recorded (total number and endemic)
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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.