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12,237 results for “2019”
Global canopy top height estimates from GEDI LIDAR waveforms for 2019
<p>Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S. The map is based on the first four months of L1B Version 1 data (April-July 2019). The sparse footprint level predictions are averaged at 0.5 degree resolution (approx. 55 km raster cells at the equator) to obtain a dense map. We refer to the original research article below for further information, especially on how the predictions were filtered before the aggregation.</p> <p>The footprint level RH98 predictions are stored in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data. The file <a href="https://zenodo.org/api/files/0a9300b5-2dea-4791-a019-319ed6209713/load_pred_RH98_files.py?versionId=6af41185-f13b-44aa-9042-a59efd4abb82">load_pred_RH98_files.py </a>contains more information on how to parse and load the prediction orbit files.</p> <p><strong>GEDI mission website</strong>: <a href="https://gedi.umd.edu/">https://gedi.umd.edu/</a>.</p> <p><strong>Citation: </strong>Use of these data require citation of this dataset and the original research article. These citations are as follows:</p> <p>Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. <em>Remote Sensing of Environment</em>, <em>268</em>, 112760.</p> <p>Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Global canopy top height estimates from GEDI LIDAR waveforms for 2019 (1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5704852</p> <p> </p>
P50 of tropical broadleaved evergreen forests extracted from Liu et al., 2019
<p>P50 data of tropical broadleaved evergreen forests extracted from Liu et al., 2019 (Hydraulic traits are coordinated with maximum plant height at the global scale)</p> <p>P50: stem water potential at 50% loss of conductivity</p>
SQM measurements at Majadahonda station 2019
<p>SQM measurements at Majadahonda station 2019.</p> <p>Lat: 40.468955</p> <p>Long:-3.863422</p>
NESEA-Rice10: high-resolution annual paddy rice maps for Northeast and Southeast Asia from 2017 to 2019
<p>This dataset provides annual paddy rice maps of Northeast and Southeast Asia from 2017 to 2019.</p> <p>*** The data file is in “.tif" format</p> <p>*** Spatial extent: Northeast and Southeast Asia</p> <p>*** Temporal Resolution: Yearly</p> <p>*** Pixel size: 10 m</p> <p>*** Projection information: EPSG: 4326</p> <p>*** CropType: Paddy rice.</p> <p>*** Year: Values from 2017 to 2019</p> <p>*** The file name consists of year (Y), latitude range (N/S), and longitude range (E). For example, the file name '2019Y_40_45N_140_145E' means the map of paddy rice in the range of 40-50 degrees North and 140-145 degrees East for 2019.</p>
Figure 8 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 8. Papawera maugeansis (Burn, 1966a). (a) SEM, detail of ridges of gizzard plate (ZMBN 125458, H = 8 mm). (b) SEM, Detail of jaws (AMS c.105854, H = 5 mm). (c) detail of external male reproductive system (AMS c.105854, H = 5 mm). (d) detail of interior of ventrally opened atrium and fundus (ZMBN 125458, H = 8 mm). Abbreviations: as, atrium sheet. at, atrium. fu, fundus. pr, prostate. sd, seminal duct. smg, seminal groove. rm, retractor muscles. Scale bars: a = 20 µm. b = 2 µm. c = 0.5 mm, d = 0.25 mm.
Figure 7 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 7. Papawera maugeansis (Burn, 1966a). (a) adpertural view of holotype (NMV F26134, H = 7 mm; Australia). (b) apertural view of shell (ZMBN 125458, H = 8 mm; Australia). (c) apertural view of shell (AMS c.105854, H = 5 mm; Australia). (d) apertural view of shell, (NHMUK MacAndrew col. 1563, H = 7.5 mm; Australia). (e) SEM, whole radula (AMS c.105854, H = 5 mm; Australia). (f) SEM, detail of rachidian and inner laterals in central part of radula (ZMBN 125458, H = 8 mm; Australia). (g) Right lateral view of whole gizzard plate (ZMBN 125458, H = 8 mm; Australia). (h) SEM, dorsal surface of whole gizzard plate (ZMBN 125458, H = 8 mm; Australia). Scale bars: e = 100 µm. f = 50 µm. g, h = 30 µm.
Figure 6 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 6. Papawera maugeansis (Burn, 1966a). Detail of left lateral Hancock's organ, dorsal branches partially covered by cephalic shield (ZMBN 125458, H = 8 mm). Abbreviations: cs, cephalic shield. db, dorsal branch. ho, Hancock's organ. lo, labial organ. pl, parapodial lobe. vb, ventral branch. vm, visceral mass. Scale bar = 0.3 mm.
Figure 4 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 4. Papawera zelandiae (Gray, 1843). (a) apertural view of shell (AM 79,176, H = 11 mm; New Zealand). (b) apertural view of shell (NHMUK 20170322, Haminea obesa, holotype; H = 17 mm; New Zealand). (c) apertural view of shell (AMS C.159944, H = 22 mm; New Zealand). (d) apertural view of shell, (AMS c.457260, H = 27 mm; New Zealand). (e) SEM, whole radula (AM 119920, H = 11 mm; New Zealand). (f) SEM, detail of rachidian and first laterals in central part of radula (AM 119920, H = 11 mm; New Zealand). (g) Right lateral view of whole gizzard plate (AM 119920, H = 11 mm; New Zealand). (h) SEM, dorsal surface of whole gizzard plate (AM 119920, H = 11 mm; New Zealand). Scale bars: e, g, h = 100 µm. f = 0.15 µm.
Figure 5 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 5. Papawera zelandiae (Gray, 1843). (a) SEM, detail of ridges of gizzard plate (AM 119920, H = 11 mm; New Zealand). (b) SEM, Detail of jaws (AM 119920, H = 11 mm; New Zealand). (c) detail of external male reproductive system (AM 119920, H = 11 mm; New Zealand). (d) detail of interior of ventrally opened atrium and fundus (AM 119920, H = 11 mm; New Zealand). Abbreviations: as, atrium sheet. at, atrium. bc, body cavity. fu, fundus. pr, prostate. sd, seminal duct. smg, seminal groove. rm, retractor muscles. Scale bars: a = 20 µm. F = 4 µm. c, d = 0.25 mm.
Figure 2 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 2. Female reproductive system. (a) Papawera zelandiae, Hokianga, Northland, New Zealand, (AM 79176, H = 11 mm). (b) Papawera maugeansis, Curlewis Reef, Clifton Springs, Victoria, Australia (ZMBN 125459 ex NVM F194630, H = 5.7 mm). Abbreviations: agl, albumen gland. am, ampulla. amg, anterior mucous gland. gd, gameloytic duct. ggl, gametolytic gland. md, medial duct. ot, ovotestis. pmgl1, posterior mucous gland lobe 1, pmgl2, posterior mucous gland lobe 2. rm, retractor muscle. smg, external seminal groove. v, vestibule. Scale bars: a, b = 0.5 mm.
Figure 1 in The temperate Australasian genus Papawera Oskars and Malaquias, 2019 (Gastropoda: Cephalaspidea: Haminoeidae), with a redescription of P. zelandiae and P. maugeansis
Figure 1. Bayesian phylogeny depicting relationships and species diversity of the genus Papawera. Hypothesis based on the combined analysis of the mitochondrial COI, 16S rRNA and 12S rRNA and nuclear 28S rRNA and Histone H3 genes. The tree is a composite based on Figures 1 and 2 from Oskars & Malaquias (2019). Values above branches are BI posterior probabilities and below branches are bootstrap values derived by ML (Oskars & Malaquias, 2019). Images of Lamprohaminoea cymbalum, Mozambique (TH64), courtesy of Y. Tibiriçá; Bakawan rotundata, Singapore (496), courtesy of K. Jensen; Smaragdinella cf. sieboldi, Mozambique (TH55), courtesy of Y. Tibiriçá; Haminoea alfredensis, South Africa, NHMUK 20070315 (174), courtesy of G. Branch and C. Griffiths.
Raw data used for the preparation of the article Sci. Rep. 9 (2019), 11328. DOI: 10.1038/s41598-019-47547-0.
<p>Raw data (SEM, XRD, magnetotransport measurements) used for the preparation of the article</p> <p>G. Kunakova, R. Meija, J. Andzane, U. Malinovskis, G. Petersons, M. Baitimirova, M. Bechelany, T. Bauch, F. Lombardi, D. Erts ‘Surface structure promoted high-yield growth and magnetotransport properties of Bi2Se3 nanoribbons’, Sci. Rep. 9 (2019), 11328. DOI: 10.1038/s41598-019-47547-0.</p>
Präjudizienpublizität der ordentlichen Gerichte in Deutschland 1971–2019
<p>Die vorliegende Datei dokumentiert alle bis 2021 bekannten Daten zur Publizität der deutschen Instanzrechtsprechung in der ordentlichen Gerichtsbarkeit. Diese Rohdaten wurden ausgewertet und in Abbildungen visualisiert durch <em>Hamann</em>, Der blinde Fleck der deutschen Rechtswissenschaft, <a href="https://doi.org/10.5281/zenodo.5877785">JZ 2021, 656–665</a>.</p>
MicroED data collected from tetragonal lysozyme (April 2019)
<p>Data collected at 200 kV on the JEOL 2100 LaB6 TEM at Stockholm University using a TimePix detector. The data were collected using the SoPhy control software and manual control of stage position and rotation.</p> <p>The raw data are TIFF files. Files converted into SMV and mrc formats are also included in the datasets. Additional files include images of the corresponding crystals in dm3 format and text files with notes on initial goniometer rotation position, spot size, exposure time and speed setting.</p> <p>Certain datasets have conversion errors, but are included for completeness. Processing these data has been used an example in a manuscript undergoing peer review at the time of data deposition.</p>
Industrial and Smallholder Oil Palm Plantation Expansion in Indonesia from 2001 to 2019
<p>The dataset contains wall-to-wall maps of the annual expansion of industrial and smallholder oil palm plantations from 2001 to 2019 generated from interpretation of annual LANDSAT composites, SPOT-6 and UAV imagery.</p> <p>We define an oil palm plantation as an area of land planted with oil palm trees (Elaeis guineensis Jacq.). </p> <p>Industrial plantations are intensively managed large-scale, typically covering several thousand hectares of land, plantations owned by companies. They exhibit distinctive linear boundaries while harvesting trails are laid out in grids on level land or follow contours on hilly terrain. Smallholder plantations are typically smaller — < 25 hectares according to government definition — although wealthy individuals sometimes own several hundred hectares — and their spatial patterns are less consistent. Smallholder landscapes sometimes form a mixed mosaic with one or more other crops and types of landcover , or a large homogeneous landscape , or resemble industrial plantings though generally smaller and with less consistent structure.</p> <p>The datasets are in shapefile format with the following columns:</p> <p><strong>Year:</strong> The year an area was converted to oil palm. This is the year an area of either Forest or Non-Forest transitioned to either industrial or smallholder oil palm.</p> <p><strong>Class:</strong> The type of plantation that exists as of year 2019. Class has category: ‘IOPP’ for Industrial Oil Palm Plantation or 'Smallholder'.</p> <p><strong>Gridcode:</strong> A code for the year the annual <em>Tree Loss</em> dataset (version 1.7) - developed at University of Maryland (Hansen et al. 2013) - recorded a loss, and whether this is loss of trees in the forest or loss of non-forested trees. This column can be ignored.</p> <ul> <li><strong>1xx :</strong> Year forest loss detected, where xx represents the last 2 digits of the year (from 2001 to 2019) when the loss happened. For example, 105 indicates forest loss in 2005.</li> <li><strong>300 :</strong> Non-forest since 2000.</li> <li><strong>3xx :</strong> Year tree (non-forest) loss detected, where xx represents the last 2 digits of the year (from 2001 to 2019) when the loss happened. For example, 305 indicates tree loss in 2005 in non-forest areas with trees.</li> </ul> <p><strong>F2000 to F2019:</strong> The annual land cover types (Forest or Non forest) that existed before oil palm plantations replaced them.</p> <p><strong>TDelay :</strong> The time delay (in number of years) beween the year an area lost its forest cover and the year it was developed as a plantation. If Tdelay = 0, the area was developed as a plantation in the same calendar year that it lost forest cover, or the area was already not forest in 2000.</p> <p><strong>CompDriven</strong> : The year an area was developed as a plantation and lost its forest cover. We reasoned that industrial plantations developed in the same year as forest clearance are likely to be responsible for that clearance, hence the term Company-driven deforestation. If CompDriven = 0 the area lost its forest cover several years (at one year) before it was developed as a plantation.</p> <p> </p> <p><strong>Region:</strong> The name of the region considered (Sumatra, Kalimantan, Java, Sulawesi, Maluku and Papua)</p> <p><strong>AreaHA:</strong> The area in hectares</p>
BeechBarkDisease2005_2019
<p>These data record beech bark disease infection levels and the diameter at breast height for 209 trees. Trees were sampled 7 times between 2005 and 2019, though some data are missing due to trees having died or been lost. Data were collected at the Lewis Dean Nature Preserve in Poultney Vermont.</p>
Seroepidemiological survey of coronavirus 2019 (COVID-19) infection in the general population in Gabon
<p>Results of population-based age stratified seroepidemiological investigation in Gabon</p>
Usage of the UAT in AAS Journals, June 2019 through May 2021
<p>Since the UAT was officially adopted as the source for keywords in AAS journals in 2019, we have been collecting lists of articles that use UAT concepts as found in the Astrophysics Data system every few months. Collected together, these snapshots can start to provide statistics and insight into how the UAT has been adopted.</p>
2019-2020 AR station alpine meadow ecosystem tower-based observation spectra, GPP and meteorological data
<p> This is the dataset used in the <em>Investigating the Performance of Red and Far-Red SIF for Monitoring GPP of Alpine Meadow Ecosystems</em> paper. The dataset contains canopy red and far-red SIF data, GPP data, NDVI data, photosynthetically active radiation(PAR) data, temperature(Ta) data, and vapor pressure deficit(VPD) data during the 2019 and 2020 growing seasons in the alpine meadow ecosystem at the AR site(100.4643 E, 38.0473 N, altitude 3033 m).</p>
Anuradhapura Leptospirosis and climate data - 207 to 2019
<p>This data base contains leptospirosis data and climate data of Anuradhapura district Sri Lanka from 2007 to 2019.</p>
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