Find research datasets worth reusing

Figure 50 in CRICOTOPUS (S. STR.) LATELLAI SP. N., A NEW RHEOPHILIC SPECIES OF THE TREMULUS-GROUP FROM THE ITALIAN AND FRENCH MARITIME ALPS (DIPTERA: CHIRONOMIDAE) Abstract

Figure 50. Riffles and waterfalls (altitude 1700-1800 m) delimited by the upper basin of the River Po at 'Pian del Re', Alpi Marittime, north-western Italy. Photo J. Moubayed-Breil, 09.07.2017.

Figures 45-49 in CRICOTOPUS (S. STR.) LATELLAI SP. N., A NEW RHEOPHILIC SPECIES OF THE TREMULUS-GROUP FROM THE ITALIAN AND FRENCH MARITIME ALPS (DIPTERA: CHIRONOMIDAE) Abstract

Figures 45-49. Larva of Cricotopus latellai sp. n. 45, head, right side, lateral view; 46, head capsule, dorsal; 47, antenna; 48, mentum, half part; 49, procercus with dorsal and anal setae, lateral view.

Figure 51 in CRICOTOPUS (S. STR.) LATELLAI SP. N., A NEW RHEOPHILIC SPECIES OF THE TREMULUS-GROUP FROM THE ITALIAN AND FRENCH MARITIME ALPS (DIPTERA: CHIRONOMIDAE) Abstract

Figure 51. Geographical distribution of the five currently known Cricotopus species (tremulus-group) in the Tyrrhenian Region delimited by continental France, Italy, Spain and Corsica: C. latellai sp. n. ⦿, C. mantetanus ✻, C. nevadensis ✪, C. royanus ✩, C. tremulus ✭.

Figures 31-44. Cricotopus spp., male pupal exuviae. C in CRICOTOPUS (S. STR.) LATELLAI SP. N., A NEW RHEOPHILIC SPECIES OF THE TREMULUS-GROUP FROM THE ITALIAN AND FRENCH MARITIME ALPS (DIPTERA: CHIRONOMIDAE) Abstract

Figures 31-44. Cricotopus spp., male pupal exuviae. C. latellai sp. n.: 31, frontal apotome; 32, cephalothorax, chaetotaxy and granulation; 33-35, thoracic horn, three aspects; 34, thoracic horn, details of apical part; 36, cephalothorax, details of anteromedian area. C. mantetanus: 37, cephalothorax with dorsocentrals; 38, thoracic horn. C. latellai sp. n.: 39, armament and chaetotaxy of abdominal segments V-VII with details of the hook rows on tergites (left) and sternites (right); 40, lateral view of segments VII-VIII and anal segment; 41, armament of tergites V-VI (dorsal view) with median patch of spines and details of the hook rows; 42, anal lobe, right half, dorsal; 43, ventral view of sternites V (distal part) and VI (posteromedian patch of spines); C. mantetanus: 44, anal lobe, right half, dorsal.

Figures 1-12 in CRICOTOPUS (S. STR.) LATELLAI SP. N., A NEW RHEOPHILIC SPECIES OF THE TREMULUS-GROUP FROM THE ITALIAN AND FRENCH MARITIME ALPS (DIPTERA: CHIRONOMIDAE) Abstract

Figures 1-12. Male adult of Cricotopus spp. C. latellai sp. n.: 1, tarsomere 3 with sensilla coeloconica; 2, tergite IX, lateral; 3, tergite IX, dorsal; 4, distribution pattern of setae on median area of tergites II-V. C. mantetanus: 5, tergite IX, dorsal; 6, distribution pattern of setae on median area of tergites II-V. C. latellai sp. n.: 7-8, hypopygium in dorsal and ventral view; 9, inferior volsella, dorsal; 10, left gonostylus, dorsal, at right angle; 11, right gonostylus, dorsal, at acute angle. C. mantetanus: 12, inferior volsella, dorsal.

Figures 13-30 in CRICOTOPUS (S. STR.) LATELLAI SP. N., A NEW RHEOPHILIC SPECIES OF THE TREMULUS-GROUP FROM THE ITALIAN AND FRENCH MARITIME ALPS (DIPTERA: CHIRONOMIDAE) Abstract

Figures 13-30. Male and female adults of Cricotopus spp. C. latellai sp. n., male adult: 13, gonocoxite and inferior volsella, lateral; 14, inferior volsella, lateral; 15, gonostylus, lateral. 16, C. mantetanus: inferior volsella, lateral. C. latellai sp. n., female adult: 17, palpomere 3 with sensilla coeloconica; 18-19, antenna, segments 1-3, two aspects; 20- 21, last flagellomere, two aspects; 22, distribution pattern of setae on median area of tergites II-V; 23, genitalia, ventral and dorsal view with gonapophysis VIII, sternite VIII and seminal capsules; 24, dorsomesal and ventrolateral lobes; 25, apodeme lobe; 26, tergite IX, dorsal; 27, cercus. C. mantetanus: 29, apodeme lobe; 30, seminal capsule.

opencc-by-4.0Jun 2023View details →

Land-Locked Convection as a Barrier to MJO Propagation across the Maritime Continent

This dataset contains the subset model output variables that were used to derive the results presented in the following publication: Savarin, A. & S. S. Chen (2023): Land-Locked Convection as a Barrier to MJO Propagation across the Maritime Continent. Journal of Advances in Modeling Earth Systems, 15, e2022MS003503. https://doi.org/10.1029/2022MS003503 For the sake of saving space, the model output variables (file names starting with uwincm_) are separated into 2D fields (latitude, longitude, land mask, precipitation, and surface zonal winds) for the duration of model simulation and 3D fields (pressure, temperature, and 3D winds) for selected times used in the manuscript.  Additionally, results of large-scale precipitation tracking for MJO are stored in the file names that begin with lpt_.  HYCOM (ocean model) bathymetry and surface temperature for initial conditions are stored in HYCOM_IC_ files.

opencc-by-4.0Apr 2023View details →

MARitime SIMulated (MARSIM) Dataset for GPS Spoofing Detection

MARitime SIMulated (MARSIM) is a comprehensive and labeled dataset created to test and evaluate NMEA-based anomaly detection approaches related to GNSS/GPS spoofing attacks in the maritime context, e.g. <a href="https://github.com/fkie-cad/mana">MANA</a>. It consists of multiple scenarios (benign and attacked) with a duration of 120 s, provided as network traffic recordings, i.e., in packet capture (pcap) format. Each recording contains the NMEA 0183 sentences transmitted within the network of a single vessel heading north from a fixed point with constant velocity. The recordings are reduced to two PNT transmitting devices, namely the pair of GPS receivers, which are placed at a fixed distance of 4 m from each other. Working with the provided packet captures can be facilitated by using our <a href="https://github.com/fkie-cad/maritime-dissector">Wireshark dissector</a>. For more information, please see Spravil J, Hemminghaus C, von Rechenberg M, Padilla E, Bauer J. Detecting Maritime GPS Spoofing Attacks Based on NMEA Sentence Integrity Monitoring. Journal of Marine Science and Engineering. 2023; 11(5):928. DOI: <a href="https://doi.org/10.3390/jmse11050928">10.3390/jmse11050928</a>

Fig. 2 in Distributional range of the South African maritime spider-egg parasitoid wasp, Echthrodesis lamorali (Hymenoptera: Platygastridae: Scelioninae)

Fig. 2. Distribution of Desis formidabilis, Amaurobioides africanus, Heliophanus villosus and Echthrodesis lamorali along the transect spanning Jacobsbaai to Kidds Beach, surveyed during this study in March 2012.

Fig. 3 in Distributional range of the South African maritime spider-egg parasitoid wasp, Echthrodesis lamorali (Hymenoptera: Platygastridae: Scelioninae)

Fig. 3. Distribution of Palpimanus capensis, Desis formidabilis, Amaurobioides africanus, Heliophanus villosus and Echthrodesis lamorali along the coastline surveyed during this study in November 2012 (a – Cape Peninsula; b – Entire survey area).

Fig. 4 in Distributional range of the South African maritime spider-egg parasitoid wasp, Echthrodesis lamorali (Hymenoptera: Platygastridae: Scelioninae)

Fig. 4. Locality in Summerstrand (33°58'47.892"S 25°39'31.0674"E) during (A) March 2012 and (B) November 2012, showing marked visual differences, with a great reduction in invertebrate covering of the intertidal rocks.

Fig. 5 in Distributional range of the South African maritime spider-egg parasitoid wasp, Echthrodesis lamorali (Hymenoptera: Platygastridae: Scelioninae)

Fig. 5. Main biogeographiƇal zones bordering the 6outh AfriƇan Ƈoast ƖBraƇkets: Regions in whiƇh the border between zones Ƈould fall; 6tippled arrows: Current direƇtion and name; Grey Textboxes: Zone name] (After Teske et al. 2011).

opencc-by-4.0Sep 2023View details →

Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula'

Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodology used, users are referred to the article:  Siqueira, R.G., Moquedace, C.M., Francelino, M.R., Schaefer, C.E.G.R., Fernandes-Filho, E.I., 2023. Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, 116405. https://doi.org/10.1016/j.geoderma.2023.116405 The .zip file has the following folders: 1) soil_texture_antarctica: soil texture information containing clay, silt and sand contents 2) soil_texture_coefficient_variation: uncertainty from the coefficient of variation of the soil texture prediction 3) soil_texture_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil texture prediction 4) soil_texture_quantile05: quantile 5% of the soil texture prediction 5) soil_texture_quantile95: quantile 95% of the soil texture prediction

opencc-by-4.0Oct 2023View details →

MarTREC Publication forBio-Inspired Stabilization of Levee Slope on Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi

The link considers the data file for the MarTREC Project: Bio-Inspired Stabilization of Levee Slope on Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi. PI: Dr. Sadik Khan Funding Agency: This material is based upon work supported by the U.S. Department of Transportation under Grant Award Number DTRT13-G-UTC50.  The work was conducted through the Maritime Transportation Research and Education Center at the University of Arkansas.

opencc-by-4.0Sep 2008View details →

Fig. 2 in Adventive Staphylinidae (Coleoptera) of the Maritime Provinces of Canada: further contributions

Fig. 2. Dorsal habitus photograph of Ilyobates bennetti (from Gouix and Klimaszewski 2007).

opencc-by-4.0Sep 2008View details →

Fig. 4 in Adventive Staphylinidae (Coleoptera) of the Maritime Provinces of Canada: further contributions

Fig. 4. Dorsal habitus photograph of Meotica "pallens" sensu Benick and Lohse (1974)

opencc-by-4.0Sep 2008View details →

Fig. 3 in Adventive Staphylinidae (Coleoptera) of the Maritime Provinces of Canada: further contributions

Fig. 3. Dorsal habitus photograph of Meotica exilis. Scale = 1 mm.

opencc-by-4.0Oct 2020View details →

Dataset: COVID-19 implications on maritime trade flows

This dataset can be used to reproduce the results as described in Verschuur et al. (2020), "The implications of large-scale containments policies on global maritime trade during the COVID-19 pandemic", under review.    The dataset includes the port-level estimated maritime trade flows (imports and exports) on a daily time scale from January 2019 till August 2020. The data is disaggregated into a 22 sector classification system, which can be aggregated to a 11 sector classification system given the conversion table included. Moreover, the data can be easily aggregated to a country-level using the iso3 code provided.

dryad36/100

Data from: In situ genetic association for serotiny, a fire-related trait, in Mediterranean maritime pine (Pinus pinaster Aiton)

Wildfire is a major ecological driver of plant evolution. Understanding the genetic basis of plant adaptation to wildfire is crucial, because impending climate change will involve fire regime changes worldwide. We studied the molecular genetic basis of serotiny, a fire-related trait, in Mediterranean maritime pine using association genetics. A single nucleotide polymorphism (SNP) set was used to identify genotype : phenotype associations in situ in an unstructured natural population of maritime pine (eastern Iberian Peninsula) under a mixed-effects model framework. RR-BLUP was used to build predictive models for serotiny in this region. Model prediction power outside the focal region was tested using independent range-wide serotiny data. Seventeen SNPs were potentially associated with serotiny, explaining approximately 29% of the trait phenotypic variation in the eastern Iberian Peninsula. Similar prediction power was found for nearby geographical regions from the same maternal lineage, but not for other genetic lineages. Association genetics for ecologically relevant traits evaluated in situ is an attractive approach for forest trees provided that traits are under strong genetic control and populations are unstructured, with large phenotypic variability. This will help to extend the research focus to ecological keystone non-model species in their natural environments, where polymorphisms acquired their adaptive value.

opencc-zeroDec 2012View details →