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opencc-by-4.0Feb 2021View details →

Рис. 10. РаспреΔеΛение обсΛеΔованных поΛей в иссΛеΔуемом регионе по степени засоренности Fig. 10. Distribution of the surveyed fields in the studied region by the degree of field weediness in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions

Рис. 10. РаспреΔеΛение обсΛеΔованных поΛей в иссΛеΔуемом регионе по степени засоренности Fig. 10. Distribution of the surveyed fields in the studied region by the degree of field weediness

Figure 7 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic

Figure 7.Turbidity in the upper layer (left) and CHL-a concentration surface distribution (right) in the area of the Vistula Lagoon outflow on August 01, 2019.

Figure 4 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic

Figure 4. Example of high water turbidity manifestation in a true color image. Fragment of Sentinel-2A MSI of 16.08.2018 in the area of underwater pipeline construction. Arrow indicates the offshore gas receiving terminal.

Figure 6 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic

Figure 6. Manifestation of Vistula Lagoon outflow via the Baltiysk Canal in a true color composite image of Terra MODIS of July 31, 2019 (left); CTD-station locations during field work on August 01, 2019 (right).

Fig. 7 in An annotated checklist of the herpetofauna of the Sibiloi National Park in northern Kenya based on field surveys

Fig. 7. Occurrence of the six recorded amphibian species across the survey sites (AB, Fig. 8. Numbers of amphibian species that were exclusively found at either one of the Alia Bay; KF, Koobi Fora; KA, Karare; IL, Ilkemere; LO, Lomosia) and transects (G, surveyed sites or one of the transects. Abbreviations: AB, Alia Bay; KF, Koobi Fora; KA, grassland; R, riverbed; B, bushland; Tot, Total). Karare; IL, Ilkemere; LO, Lomosia; G, grassland; R, riverbed; B, bushland; Tot, Total.

Fig. 5 in An annotated checklist of the herpetofauna of the Sibiloi National Park in northern Kenya based on field surveys

Fig. 5. Occurrence of the 28 recorded reptile species across the survey sites (AB, Alia Fig. 6. Numbers of reptile species that were exclusively found at either one of the surveyed Bay; KF, Koobi Fora; KA, Karare; IL, Ilkemere; LO, Lomosia; TBI, Turkana Basin sites or one of the transects. Abbreviations: AB, Alia Bay; KF, Koobi Fora; KA, Karare; Institute) and by transect (G, grassland; R, riverbed; B, bushland; Tot, Total). IL, Ilkemere; LO, Lomosia; TBI, Turkana Basin Institute; G, grassland; R, riverbed; B, bushland; Tot, Total.

Fig. 4 in An annotated checklist of the herpetofauna of the Sibiloi National Park in northern Kenya based on field surveys

Fig. 4. Reptile species recorded during the surveys: (A) Crocodylus niloticus; (B) Agama lionotus; (C) Agama rueppelli; (D) Holodactylus africanus; (E) Hemidactylus angulatus; (F) Hemidactylus barbierii; (G) Hemidactylus lanzai; (H) Hemidactylus ruspolii; (I) Homopholis fasciata; (J) Lygodactylus somalicus; (K) Stenodactylus sthenodactylus; (L) Heliobolus spekii; (M) Latastia longicaudata; (N) Philochortus rudolfensis; (O) Chalcides bottegi; (P) Mochlus sundevallii; (Q) Trachylepis striata; (R) Varanus albigularis; (S) Eryx colubrinus; (T) Platyceps brevis; (U) Psammophis cf. tanganicus; (V) Psammophis punctulatus; (W) Rhamphiophis rostratus; (X) Naja pallida; (Y) Bitis arietans; and (Z) Echis pyramidum.

Fig. 3 in An annotated checklist of the herpetofauna of the Sibiloi National Park in northern Kenya based on field surveys

Fig. 3. Amphibian species recorded during the surveys: (A) Poyntonophrynus lughensis; (B) Sclerophrys xeros; (C) Sclerophrys turkanae; (D) Ptychadena nilotica; (E) Ptychadena cf. schillukorum; and (F) Tomopterna wambensis.

Fig. 1 in An annotated checklist of the herpetofauna of the Sibiloi National Park in northern Kenya based on field surveys

Fig. 1. Location of Sibiloi National Park (UNEP-WCMC and IUCN 2022) in Kenya and the main study sites: IL (Ilkemere), KA (Karare), KF (Koobi Fora), LO (Lomosia), AB (Alia Bay), and TBI (Turkana Research Institute). The inset map shows the African continent, and the black square indicates the location of the enlarged map.

opencc-by-4.0Sep 2017View details →

Fig. 1 in Field survey of Asian citrus psyllid (Hemiptera: Liviidae) infestations associated with six cultivars of Poncirus trifoliata (Rutaceae)

Fig. 1. Comparisons among cultivars of Citrus, citranges, and pure Poncirus trifoliata with respect to infestations of Asian citrus psyllid (ACP) in 5-yr-old trees at a grove in east-central Florida during 2016. a) Percentage of branches with flush suitable for oviposition by Asian citrus psyllid. b) Average infestation densities of immature Asian citrus psyllids (counts of eggs and nymphs combined) per flush shoot. Error bars are standard errors of the mean.

opencc-by-4.0Nov 2014View details →

Figure 1. A in Field surveys in Western Panama indicate populations of Atelopus varius frogs are persisting in regions where Batrachochytrium dendrobatidis is now enzootic

Figure 1. A female Harlequin frog, Atelopus varius. This species, classified as Critically Endangered by IUCN, has been found in small numbers in the mountains of Western Panama.

opencc-by-4.0Sep 2024View details →

Ground penetrating radar (GPR) monitoring of a densely gridded survey field in the Lower Muschelkalk of a limestone quarry in Rüdersdorf near Berlin, Germany 2023/24

Surface Ground Penetrating Radar (GPR) was used on the exposed limestone of a quarry to monitor a survey field of densely spaced profiles on three dates (in October 2023, December 2023 and February 2024). The different moisture conditions of these survey dates can be evaluated with linked detailed weather data (10.5281/zenodo.13867069). A time-depth conversion using CMP data to calculate the EM wave velocity suggested a GPR penetration depth of approximately 4 metres. The measurements were planned, carried out and analysed in the context of a Master's thesis on the potential of GPR to investigate the hydrodynamics of carbonate rocks relevant to groundwater recharge processes.

opencc-by-4.0Jan 2023View details →

SCUBA-2 Large eXtragalactic Survey: XMM-LSS field

This dataset consists of 850um maps and a catalogue for the SCUBA-2 Large eXtragalactic Survey (S2LXS) of the XMM-LSS field. The data are described in Garratt et al. (2023), <a href="https://arxiv.org/abs/2301.10801">https://arxiv.org/abs/2301.10801</a>. We include match-filtered (MF) and non-match-filtered (NMF) flux density (calibrated in mJy/beam), instrumental rms (also in mJy/beam) and signal-to-noise ratio maps. The dataset also includes a catalogue of sources detected at a significance of >=5.0-sigma in the survey.  This is Data Release 1. Contact: t.garratt@herts.ac.uk for further details.

opencc-by-4.0Feb 2023View details →

ipaast - agrivation collaboration EMI survey Manor Farm Field 70

These data were collected as part of the ipaast-Agrivation collaboration to develop survey workflows that produce data compatible with common applications across archaeological, agricultural, and environmental domains. The project is described in the report at: <a href="http://ipaast-czo.glasgow.ac.uk/index.php/ipaast-agrivation-ltd-collaboration/">https://ipaast-czo.glasgow.ac.uk/index.php/ipaast-agrivation-ltd-collaboration/</a>. The ipaast project is funded by the British Academy Award KF5210407.

opencc-by-4.0Dec 2023View details →

Seismic and Hydrostratigraphic Characterization of the Onshore-Offshore Freshwater Systems of Martha's Vineyard and Nantucket, Massachusetts, USA: Field Survey Report

This data archive includes three files: field project report, seisimic data (shot gathers) from Martha's Vineyard, and seismic data (shot gathers) from Nantucket. This work was supported by the National Science Foundation (NSF Award 2052794). Technical support was provided by Geophysical Technology, Inc. (<a href="https://geophysicaltechnology.com/">https://geophysicaltechnology.com/</a>), Exploration Instruments (<a href="https://www.exiusa.com/">https://www.exiusa.com/</a>) , and Seismic Source (<a href="https://seismicsource.com/">https://seismicsource.com/</a>). Field work in Manuel F. Correllus State Forest was conducted with the approval of the Massachusetts Department of Conservation and Recreation under Research Access Permit #R-209. Daniel Wright and Conor Laffey of the Massachusetts Department of Conservation and Recreation provided local logistical support on Martha’s Vineyard. Field work on Nantucket was conducted with the approval of Wannacommet Water Company. Mark Willett of Wannacommet water company provided local logistical support on Nantucket.

Figure 5 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic

Figure 5. Landing areas of the drifters (left) and their percentage distribution (right).

Figure 3 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic

Figure 3. Map of the study region showing CTD stations and ADCP transects.

Figure 2. 2015 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic

Figure 2. 2015 traffic density map of southeast Baltic (© Marine Traffic).

opencc-by-4.0Jul 2018View details →

Wide-field Infrared Survey Explorer (WISE) Catalog of Periodic Variable Stars

Wide-field Infrared Survey Explorer (WISE) Catalog of Periodic Variable Stars  Xiaodian Chen, Shu Wang, Licai Deng, Richard de Grijs and Ming Yang  We have compiled the first all-sky mid-infrared variable-star catalog based on Wide-field  Infrared Survey Explorer (WISE) five-year survey data. Requiring more than 100 detections  for a given object, 50,282 carefully and robustly selected periodic variables are discovered,  of which 34,769 (69%) are new. Most are located in the Galactic plane and near the equatorial  poles. A method to classify variables based on their mid-infrared light curves is established  using known variable types in the General Catalog of Variable Stars. Careful classification of  the new variables results in a tally of 21,427 new EW-type eclipsing binaries, 5654 EA-type   eclipsing binaries, 1312 Cepheids, and 1231 RR Lyraes. By comparison with known variables   available in the literature, we estimate that the misclassi- fication rate is 5% and 10% for  short- and long-period variables, respectively. A detailed comparison of the types, periods,   and amplitudes with variables in the Catalina catalog shows that the independently obtained   classifications parameters are in excellent agreement. This enlarged sample of variable   stars will not only be helpful to study Galactic structure and extinction properties,   they can also be used to constrain stellar evolution theory and as potential candidates for  the James Webb Space Telescope.   These supplementary materials contain ALLWISE and NEOWISE-R single-exposure photometry tables of variables list  in Table 2 and 6 of the paper, and light curve figures for the 50,282 periodic variables in Table 2.  SourceID is identifier join these attachments to Table 2 and 6. Example: For variable star WISEJ094812.4+093448 in Table 2, the SourceID=170 is adopted to search  corresponding single-exposure information in both 'allwise12.txt' and 'neowise12.txt'.   File Description: allwise12.txt                Single exposure photometry data of variables from ALLWISE.    Bytes Format Units   Label   Explanations -----------------------------------------------------------------------------------------     1- 8  I5     ---  SourceID   Internal source identifier             10- 20 F11.7  deg     RAdeg   Right Ascension in decimal degrees (J2000)                    22- 32 F11.7  deg     DEdeg   Declination in decimal degrees (J2000)    34- 47 F14.8  day      MJD    Modified Julian date of the mid-point of the observation        49- 54 F6.3   mag     W1mag   Single exposure WISE W1 (3.35 micron) band magnitude   56- 63 F6.3   mag    eW1mag   W1 band uncertainty   65- 77 F6.3   mag     W2mag   Single exposure WISE W2 (4.6 micron) band magnitude    79- 86 F6.3   mag    eW1mag   W2 band uncertainty -----------------------------------------------------------------------------------------      neowise12.txt                Single exposure photometry data of variables from NEOWISE-R.    Bytes Format Units   Label   Explanations -----------------------------------------------------------------------------------------    1- 8  I5     ---  SourceID   Internal source identifier             10- 21 F11.7  deg     RAdeg   Right Ascension in decimal degrees (J2000)                    23- 34 F11.7  deg     DEdeg   Declination in decimal degrees (J2000)    36- 44 F6.3   mag     W1mag   Single exposure WISE W1 (3.35 micron) band magnitude   46- 54 F6.3   mag    eW1mag   W1 band uncertainty   56- 64 F6.3   mag     W2mag   Single exposure WISE W2 (4.6 micron) band magnitude    66- 74 F6.3   mag    eW1mag   W2 band uncertainty   76- 90 F14.8  day      MJD    Modified Julian date of the mid-point of the observation -----------------------------------------------------------------------------------------   figure0.zip -- figure23.zip  Full figures of 50282 WISE variables. They are divided into 24  packages by the order of Right Ascension.