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Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1985-01-17

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, on 1985-01-17 (20:03:18.2550190Z). Data were collected by Landsat 5, row 116, path 56. Cloud cover was 10 percent. These are reference data from the USGS EROS archive, not data generated by McMurdo Dry Valleys LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50561161985017XXX05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:34Z.

Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1986-01-04

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, on 1986-01-04 (20:00:32.7080940Z). Data were collected by Landsat 5, row 116, path 56. Cloud cover was 0 percent. These are reference data from the USGS EROS archive, not data generated by McMurdo Dry Valleys LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50561161986004XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:31Z.

Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1985-01-08

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, on 1985-01-08 (20:09:25.9320440Z). Data were collected by Landsat 5, row 116, path 57. Cloud cover was 30 percent. These are reference data from the USGS EROS archive, not data generated by McMurdo Dry Valleys LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50571161985008XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:46:19Z.

Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1986-12-13

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, on 1986-12-13 (19:57:51.8720630Z). Data were collected by Landsat 5, row 116, path 57. Cloud cover was 10 percent. These are reference data from the USGS EROS archive, not data generated by McMurdo Dry Valleys LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50571161986347XXX05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:22Z.

Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1986-12-20

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, on 1986-12-20 (20:04:15.7840940Z). Data were collected by Landsat 5, row 116, path 58. Cloud cover was 20 percent. These are reference data from the USGS EROS archive, not data generated by McMurdo Dry Valleys LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50581161986354XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:41:07Z.

openCC (other)Jan 2020View details →

Late Holocene Tree Ring Widths, Hudson Valley: Level 1

Reconstruction of pre-instrumental, late Holocene climate is important for understanding how climate has changed in the past and how climate might change in the future. Statistical prediction of paleoclimate from tree ring widths is challenging because tree ring widths are a one dimensional summary that represents a multi-dimensional set of climate and biotic influences. We develop a Bayesian hierarchical framework using a non-linear, biologically motivated tree ring growth model to jointly reconstruct temperature and precipitation in the Hudson Valley, New York. Using a common growth function to describe the response of a tree to climate, we allow for species-specific parameterizations of the growth response. To enable predictive backcasts, we model the climate variables with a vector auto-regressive process on an annual time scale coupled with a multivariate conditional auto-regressive process that accounts for temporal correlation and cross-correlation between temperature and precipitation within years. Our multi-scale temporal model allows for flexibility in the climate response through time at different temporal scales and predicts reasonable climate scenarios given tree ring width. This material is based upon work supported by the National Science Foundation under Grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

openCC (other)Jan 2020View details →

Late Holocene Precipitation, Hudson Valley: Level 2

openCC (other)Jan 2020View details →

Late Holocene Temperature, Hudson Valley: Level 2

opennotspecifiedMar 2020View details →

FIGURE 2 in Description of a new diminutive Hyloxalus (Anura: Dendrobatidae: Hyloxalinae) from the Magdalena Valley of Colombia

FIGURE 2. Details of the arm gland in adult males of some Colombian species of the genus Hyloxalus: (A–B) black arm gland of Hyloxalus ramosi (IAvH-Am-5496, SVL =18.2 mm); (C–D) black arm gland of Hyloxalus fascianigrus (IAvH-Am- 6224, SVL =18.4 mm); (E–F) black arm gland Hyloxalus lehmanni (IAvH-Am-1793, SVL =18.1 mm); (G–H) pale arm gland Hyloxalus arliensis sp. nov. (Paratype IAvH-Am-6554, SVL =17.3 mm); (I–J) pale arm gland Hyloxalus saltuarius (IAvH-Am- 7644, SVL =20.0 mm).

opennotspecifiedMar 2020View details →

FIGURE 1 in Description of a new diminutive Hyloxalus (Anura: Dendrobatidae: Hyloxalinae) from the Magdalena Valley of Colombia

FIGURE 1. Altitudinal distribution of the species of the genus Hyloxalus in Colombia. * Records that represent a wide distribution throughout the Andean region probably correspond to species complexes.

opennotspecifiedOct 2019View details →

Subspecies and Distribution. . p. perforatus E. Geoffroy Saint-Hilaire, 1818 — Nile Valley in Egypt and N Sudan. . p. haedinusThomas, 1915 - Middle East (Israel, Arabian Peninsula, and S Iran) E to India, and E Africa from Djibouti to Kenya (including Lamu I) and Tanzania; it may also occur in Eritrea. . p. senegalensis Desmarest, 1820 - scattered localities in W Africa, from S Mauritania, Senegal, and Guinea-Bissau E to NW Nigeria and W Cameroon; it may occur in Guinea and Ivory Coast. . p. sudani Thomas, 1915 — C & S Sudan, South Sudan, Uganda, and S through the Congo Basin to N & E Botswana, S Zimbabwe, and NE South Africa in Emballonuridae

Subspecies and Distribution. . p. perforatus E. Geoffroy Saint-Hilaire, 1818 — Nile Valley in Egypt and N Sudan. . p. haedinusThomas, 1915 - Middle East (Israel, Arabian Peninsula, and S Iran) E to India, and E Africa from Djibouti to Kenya (including Lamu I) and Tanzania; it may also occur in Eritrea. . p. senegalensis Desmarest, 1820 - scattered localities in W Africa, from S Mauritania, Senegal, and Guinea-Bissau E to NW Nigeria and W Cameroon; it may occur in Guinea and Ivory Coast. . p. sudani Thomas, 1915 — C & S Sudan, South Sudan, Uganda, and S through the Congo Basin to N & E Botswana, S Zimbabwe, and NE South Africa

opencc-by-4.0Dec 2017View details →

At-home Jomo Propitiation in Chug valley: Toolbox, transcriber and audio file

This dataset contains the .wav sound files, .trs Transcriber files, .txt Toolbox-compatible Notepad files and .pdf files with the completely transcribed, glossed, parsed and translated examples of the following recordings that belong to the following publication: Bodt, Timotheus Adrianus. 2020. Grammar of Duhumbi. Leiden: Brill. ISBN 978-90-04-40947-7. <a href="https://brill.com/view/title/55767">https://brill.com/view/title/55767</a> CHUK221212D2A Bonpo prediction text. The explanation of all the grammatical features that occur in these sound files can be found in the Grammar of Duhumbi. The main Toolbox files can be found in the zip file “Settings”, this includes the IPA keys for Duhumbi, the entire setup of the Toolbox database, and the Duhumbi dictionary and Parsing dictionary. The .wav, .txt and .trs files combined in the same folder will enable to open Toolbox and work with the recordings, e.g. play them sentence for sentence and see the transcriptions and translations. Transcriber version 1.5.1: <a href="http://trans.sourceforge.net/en/presentation.php">http://trans.sourceforge.net/en/presentation.php</a> or <a href="https://osdn.net/projects/sfnet_trans/downloads/transcriber/1.5.1/Transcriber-1.5.1-Windows.exe/">https://osdn.net/projects/sfnet_trans/downloads/transcriber/1.5.1/Transcriber-1.5.1-Windows.exe/</a> Toolbox version 1.6.1: <a href="https://software.sil.org/toolbox/download/">https://software.sil.org/toolbox/download/</a> For the metadata of the sound files in this data set, I refer to Chapter 13 Texts in the Grammar of Duhumbi. This Chapter has a complete listing of the texts, their topics, the speakers and their background etc. Kesang was one of the last bon-po, practitioners of the traditional religious system in the Chug valley. This religious system has no ‘name’, but comes under what is often called ‘Bon’. The locus of propitiation is on the opposition between the high, in winter snow-clad mountain peaks phu (Tib. phu) that represent purity, cleanliness, goodness and beneficial powers versus the low-lying marshy, swampy areas da (tib. mdaḥ) that represent pollution, disease, evil and malevolent forces. In between these two there is a plethora of other local deities, many of which are local representations of the lha-srin bde-brgyad ‘eight classes of deities and demons’ also found in Tibetan Buddhism, but many of whom also represent deified human beings who have taken on some negative or positive force. It is the role of the bon-po to maintain the balance between the phu, the ‘good’ and the da, the ‘evil’ and hence prevent damage to humans and their livelihoods in the form of diseases, natural disasters, death etc. The phu-da religious system is not limited to the Chug valley, but, in various forms, can also be found among the related Khispi, Sartang and Sherdukpen people, as well as among the Tshangla speakers of West Kameng and eastern Bhutan. The main ritual conducted by the bon-po is called zhiwa (Tib. źi-ba ‘peace’) or jomo soykha (Tib. jo-mo gsol-kha ‘propitiation of the Jomo). It is conducted once before the 20th day of every Tibetan month. Jomo is the main female deity in the area (see also the files concerning the on-site Jomo propitiation). During this ritual, the bon-po first invites the Jomo and all other deities and spirits to attend the offering. He then offers nyingba (Tib. sñiṅ-ba ‘old’), also called lemchang, a mixture of rice, maize, finger millet (traditionally also wheat, barley, broomcorn millet, foxtail millet, buckwheat and amaranth) that has been kept fermenting for a long time. After that, he offers tochang, freshly cooked rice (Tib. lto-chaṅ ‘food-liquor’), and after that darcok (Tib. dar-lcog ‘prayer flags’), small twigs with triangular-shaped flags made of traditional paper. He then conducts a prediction for the coming month, by making three heaps of a mixture of grains, and interprets the way in which these grains pattern. He then sends off the assembled deities. Bon-po Kesang died in early 2016. His son Tow Tsering has taken over his role, but does not seem to know the ritual as well as his father. He may well be the last of the bon-po in Chug valley, given that no one has come forward to learn from him. This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes of any kind, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) is not permitted without specific written consent from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions. This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>. Legal Code on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</a>. Tim Bodt: monpasang (at) gmail (dot) com

Elevation effects on air temperature in a topographically complex mountain valley in the Spanish Pyrenees

Data for Atmosphere Journal.

3D spatial distribution of the seismic Gutenberg-Richter parameters (a and b values) in Long Valley Caldera

3D distribution of the a and b parameters of the Gutenberg-Richter (GR) law. The analysis is presented in Gola G., Barone A., Castaldo R., Chiodini G., D'Auria L., Garcia-Hernandez R., Pepe S., Solaro G. & Tizzani P. "A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera", which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. For this purpose, we used a dataset consisting of more than 220,000 earthquakes from the NCEDC catalogue (NCEDC, 2014), spanning the interval 1978-2017 and located in the surroundings of Long Valley Caldera. We mapped the a and b values for a volume of 50×50×30 km3, over a grid of points having a regular spacing of 0.5 km. Coordinates: North America NAD27 UTM Zone 11N Easting: 310000 - 350000 m.; Northing: 4150000 - 4185000 m

Geological model of Long Valley Caldera

Borehole lithostratigraphic data (Table S1) and boundary surfaces (surface_01-05) of Long Valley Caldera 3D geological model. This geological model is used in Gola G., Barone A., Castaldo R., Chiodini G., D'Auria L., Garcia-Hernandez R., Pepe S., Solaro G. & Tizzani P. "A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera", which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. Coordinates: North America NAD27 UTM Zone 11N Easting: 311000 - 360000 m.; Northing: 4155000 - 4187000 m; XY resolution: 500 m.

Thermo-Rheological model of Long Valley Caldera

3D Thermo-Rheological models of Long Valley Caldera presented in Gola G., Barone A., Castaldo R., Chiodini G., D'Auria L., Garcia-Hernandez R., Pepe S., Solaro G. & Tizzani P. "A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera", which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. We evaluated the temperature distribution and the brittle-ductile values in a volume of 32×50×30 km3, along East, North and depth directions, respectively. The optimized solution of the conductive-convective model is evaluated with a reservoir permeability of 5.0·10−14 m2, a fault-zone permeability of 5.0·10−14 m2 and a temperature of the magmatic intrusion beneath the caldera of 800°C. The simulated fluid velocity magnitude (mm/year) along x , y and z directions is given positive eastward, northward and upward, respectively. The purely-conductive temperature distribution used as initial condition of the conductive-convective simulation is also given. Finally, we computed the 3D Brittle-Ductile (BD) stratification by considering the optimized conductive-convective thermal model and using a pore fluid factor, a strain rate and a β value equal to 0.36, 1.2, 10–9 s–1, respectively. Further details on the selected petrophysical parameters can be found in the Tables 2 and 3 of the manuscript. The values of the Thermal and Velocity models are gridded with a regular spacing of 0.25 km. The values of the BD model are gridded with a regular spacing of 0.5 km. Coordinates: North America NAD27 UTM Zone 11N Easting: 311000 - 360000 m.; Northing: 4155000 - 4187000 m.

opencc-by-4.0Apr 2020View details →

Data for "Coherence-Guided InSAR Deformation Analysis in the Presence of Ongoing Land Surface Change in the Imperial Valley, California"

Interferometric Synthetic Aperture Radar (InSAR) observations of the surface velocity field in the Imperial Valley, California, over the period of 2015-2019, derived from the European Satellite Agency’s (ESA) Sentinel-1a/b satellite imagery. This dataset includes the following: 1. Downsampled results in geographic coordinates (a grid spacing of 2”). The average (secular) velocity (in mm/yr) is estimated along the satellite line-of-sight (LOS) directions from descending (D173) and ascending (A166) tracks over the spatial extent covering the Imperial Valley (S/N/W/E: 32.4/33.6/-116.2/-115). GeoTIFF files contain velocity values or color-coded RGB values using the Matplotlib colormap RdBu_r (ranging from -25 to 25 mm/yr). Masked pixels are assigned with NaN values. 2. Original high-resolution results processed in radar coordinates (~28 m in range and ~42 m in azimuth). HDF5 files contain matrices of the same size for the longitude, latitude, LOS secular velocity, and LOS residual displacements at each ground pixel from both tracks. The temporal error of displacement time series at each pixel (in mm) is represented by the root-mean-square residual of data fits to a linear trend. Masked pixels are assigned with NaN values.

opencc-by-4.0Oct 2020View details →

Water Erosion Risk in the Eastern Rift Valley: Application of RUSLE Modeling in the Kenyan Great Rift Valley Region

RUSLE Model Parameters for Estimating Water Erosion Risk in the Eastern Rift Valley: Application of RUSLE Modeling in the Kenyan Great Rift Valley Region

opennotspecifiedOct 2020View details →

FIGURE 9 in A new species of Pheraeus Godman, 1900 (Hesperiidae, Hesperiini, Moncina) restricted to Rio Doce Valley, Brazil

FIGURE 9. Pheraeus guandu sp. nov.: A—nudum, C—labial palpus, E—brand. Pheraeus argynnis (Plötz, 1884) B—nudum, D—labial palpus, F—brand. Scale bars represents 1mm.