cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12760/03-2014-35
title: The Flying Laboratory – Multipurpose Surveillance and Observation Platform.

description: The Flying Laboratory is the name of the project created in Air Force Institute of Technology. Is it an autonomous system that can be used for testing avionics systems in real flying conditions as well as for surveillance or reconnaissance purposes. The Flying Laboratory enables conducting tests outside big airports, on small private airports or even in the areas with poor aviation infrastructure. Wide range of research equipment can be carried on the airplane, including in-terferometer, spectrometer, pollution measurement system, contamination measurement system, surveillance head. The system consists of specially converted and equipped light airplane (Sonex), ground mobile station, cooperating with the airplane during flight tests and special trailer for carry-ing the airplane. The data obtained during flights is not only recorded on a recorder mounted onboard of the aircraft, but is also transmitted in real time to the mobile ground station. The crew in the mobile ground platform can analyze data during the airplane’s flight, without having to wait until the plane lands. At the beginning of December 2011 the Sonex airplane was registered in the Polish Registry of Civil Aircrafts and since then has been used in several projects.
DOI: 10.12760/03-2014-19
title: Semi-automated building extraction from airbone laser scanning data on the example of the central campus of Wasaw University of Technology.

description: The main idea of this project is to introduce a conception of method of semi-automated building extraction from Airborne Laser Scanning data. The effects will be presented on the example of the Central Campus of Warsaw University of Technology.
Airborne LIDAR has become a very popular technique for acquisition of terrain elevation models and lately, also of covering the area. Creating studies based on LIDAR data is more and more universal solution in commercial, marketing, scientific, architectural and engineering fields. Due to the high density of acquired points and increasing received accuracy, this method is very useful in generation of three-dimensional models of cities, regions or individual objects of the highest level of detail possible to achieve. 
The main goal of realized project was to find the most effective algorithm of automatic acquiring planes for roofs. Effects of this algorithm were proceeded in software such as ArcGIS, SketchUP to generate roofs and finally to make complete building models. Based on partly semi-automatic and partly manual method, can provide models at the level of detail LoD 2 CityGML standard.
DOI: 10.15468/w6xuk2
title: Temnocephalan epibionts (Platyhelminthes, Temnocephalida) on mollusks from Pantanal wetland, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Seixas, Samantha A., Amato, Suzana B., Amato, Jos? F. R. (2020): Temnocephalan epibionts (Platyhelminthes, Temnocephalida) on mollusks from Pantanal wetland, Brazil. Zootaxa 4858 (3): 341-357, DOI: https://doi.org/10.11646/zootaxa.4858.3.2
DOI: 10.6084/m9.figshare.12756020.v3
title: The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 7) - Data

description: Data extraction from identified articles reporting on SARS-CoV-2 infection, COVID-19 hospitalisation, severity or mortality.<br>The data is accessed through the reference displayed below
DOI: 10.6084/m9.figshare.13514960.v2
title: 2bRAD-M simulated and sequenced datasets 2

description: 2bRAD-M simulated and sequenced datasetstypical low biomass samples including: 16S and 2bRAD-M for underarm, car and home samples, and 16S and 2bRAD-M for fecal samples.
DOI: 10.15468/ex3xpt
title: Notes on the genus Perittopus Fieber, 1860 (Hemiptera: Heteroptera: Veliidae with descriptions of three new species from Indochina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ye, Zhen, Qiao, Mu, Jin, Zezhong, Bu, Wenjun (2020): Notes on the genus Perittopus Fieber, 1860 (Hemiptera: Heteroptera: Veliidae with descriptions of three new species from Indochina. Zootaxa 4858 (3): 417-426, DOI: https://doi.org/10.11646/zootaxa.4858.3.7
DOI: 10.15468/m5pvqx
title: Remarkable new species of epedanid from Vietnam (Arachnida: Opiliones Laniatores: Epedanidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tchemeris, Aleksey N. (2020): Remarkable new species of epedanid from Vietnam (Arachnida: Opiliones Laniatores: Epedanidae). Zootaxa 4858 (3): 427-437, DOI: https://doi.org/10.11646/zootaxa.4858.3.8
DOI: 10.6084/m9.figshare.13204118
title: Predicting pathogenicity of missense variants by deep learning

description: Accurate pathogenicity prediction of missense variants is critically important in genetic studies and clinical diagnosis. Previously published prediction methods have facilitated the interpretation of missense variants but have limited performance. Here we describe MVP (Missense Variant Pathogenicity prediction), a new prediction method that uses deep residual network to leverage large training data sets and many correlated predictors. We train the model separately in genes that are intolerant of loss of function variants and the ones that are tolerant, in order to take account of potentially different genetic effect size and mode of action. We compile cancer mutation hotspots and <i>de novo</i> variants from developmental disorders for benchmarking. Overall, MVP achieves better performance in prioritizing pathogenic missense variants than previous methods, especially in genes tolerant of loss of function variants. Finally, using MVP, we estimate that <i>de novo</i> coding variants contribute to 7.8% of isolated congenital heart disease, nearly doubling previous estimates.
DOI: 10.12760/03-2014-16
title: Analysis of forest vegetation - climate feedback regimes through satellite remote sensing imagery

description: Vegetation and climate interact through a series of complex feedbacks, which are not very well un-derstood.The patterns of forest vegetation are largely determined by temperature, precipitation, solar irradiance, soil conditions and CO2 concentration. Vegetation impacts climate directly through moisture, energy, and momentum ex-changes with the atmosphere and indirectly through biogeochemical processes that alter atmospheric CO2 concentration. Changes in forest vegetation land cover alter the surface albedo and radiation fluxes, leading to a local temperature change and eventually a vegetation response. This albedo (energy) feedback is particularly important when forests mask snow cover. Forest vegetation-climate feedback regimes are designated based on the temporal correlations between the vegetation and and the surface temperature and precipitation. The different feedback regimes are linked to the relative importance of vegetation and soil moisture in determining land surface–atmosphere interactions. The first-climate feed-backs are assessed in terms of the surface albedo and temperature and precipitation correlations. Observed vegetation feedbacks on temperature and precipitation are assessed based on MODIS Terra, and IKONOS satellite data across the forested area in North/Eastern part of Bucharest town, Branesti in Romania for 2001-2013 period. The computed feed-back parameters can be used to evaluate vegetation–climate interactions simulated by models with dynamic vegetation. Specific aim of this paper is to assess the forest vegetation climate feedbacks on forest ecosystem and its biodiversity as well as on adjacent environment areas and to provide early warning strategies on the remote sensing spectral informa-tion basis.
DOI: 10.12760/03-2014-12
title: Attenuation correction of full-waveform airborne laser scanner data for improving the quality of volumetric forest reconstructions by simplified waveform history analysis

description: Full-waveform airborne laser scanning data yield a great amount of information for the analysis of vegetation density in forestry applications. So far, the processing of full-waveform laser scanner data in forestry applications has mostly been limited to the extraction of discrete maxima via a Gaussian decomposition. This will usually lead to a densification of the 3D point cloud between terrain model and crown model by 3-5 extra 3D points per laser pulse, plus information on echo width and amplitude. However, beyond this extraction of additional discrete 3D points, full waveform data may form a valuable basis for a fully volumetric representation of forest stands in a 3D voxel structure, wherein the voxel attributes are derived from the digitized waveform directly. 
For this purpose, differential backscatter cross sections, derived from the digitized pulse echoes, have to be projected into a Cartesian voxel structure of a suitable resolution, wherein the voxel entries represent amplitudes of the cross section and can be interpreted as a local measure for the amount of pulse reflecting matter. However, the 'history' of each laser echo pulse is characterized by attenuation effects caused by reflections in higher regions of the crown. To achieve a radiometrically correct voxel space representation, the loss of signal strength caused by partial reflections on the path of a laser pulse through the canopy has to be compensated. Thereby, the correction term has to be derived from the digitized pulse echo itself. In this paper, we present an approach for a discrete correction, realized as a segment-based modification of the echo waveform amplitude. The basic idea of the procedure is to enhance the waveform intensity values in lower parts of the tree crown for portions of the pulse intensity, which have been reflected (and thus blocked) in higher parts of the crown. The paper will discuss the developed model of attenuation correction and show results from a validation both with synthetic and real world data.
DOI: 10.12760/03-2014-15
title: Remote sensing of periurban forest vegetation biophysical variables using time-series MODIS satellite data

description: Forest protection represents one of the most important aim involving practical aspects of pest prevention and control, as well as aspects of fundamental and applicative scientific research to find the best solutions for maintain-ing the appropriate fitosanitary condition of the national public forest area in Romania. Changes in the atmospheric abundance of greenhouse gases and aerosols, in solar radiation and in land surface properties alter the energy balance of the climate system. These changes are expressed in terms of radiative forcing, which is used to compare how a range of human and natural factors drive warming or cooling influences on regional and global climate. Given the ability to de-fine vegetation and land cover at the site level based on attributes such as physiognomy, horizontal and vertical struc-ture, vegetation phenology and leaf morphology, direct parameterisation and mapping using remotely sensed data can enhance the ability to characterize and monitor these important biogeophysical parameters. A study testing the role of satellite remote sensing multispectral data for monitoring biophysical parameters was conducted over a periurban for-ested area Cernica- Branesti, placed North - Eastern part of Bucharest town, Romania. Based on MODIS Terra/Aqua and IKONOS images over 2001-2014 period, have been derived forest vegetation biophysical parameters. The analysis of time series daily MODIS Terra/Aqua satellite data shows strong seasonal dynamics of surface reflectance of green, near infrared and shortwave infrared bands, and clearly delineate leaf phenology and length of plant growing season for a temperate deciduous broadleaf forest.
DOI: 10.12760/03-2014-13
title: Individual tree and crown identification in the Danube floodplain forests based on airborne laser scanning data

description: In the work, a fully automatic approach for individual tree and crown identification using laser scanning data is presented. The automatic identification was realized in parts of the Danube floodplain forests (47˚52΄N, 17˚32΄E). Poplar and willow plantations are dominant in the area, but there are also reservations with mixed forests of broadleaves. The general principle of workflow was identification of local maxima in the segmented point cloud and, according to specific dendrometric criteria, to decide which of the local maxima represent the tree tops. For this purpose the module “Tree and Crown Identification” from the “reFLex” software was used. Outputs of automatic detection were compared with ground data from reference plots (346 trees). The RMSE of tree and crown identification with the “reFLex” software in the area of interest was ±21 %.
DOI: 10.12760/03-2014-09
title: Advances in reducing radiometric miscalibration - application for hyperspectral push-broom sensors

description: Data takes of hyperspectral imagers are of increasing demand in Earth Observation related applications. As for other remote sensing techniques this requires precise pre-processing comprising of radiometric, spectral and geometric distortion reductions. One of these steps is radiometric scaling to transform recorded digital number to radiance. For this, laboratory assessed mathematical relations between required radiance and recorded digital number (gain) and short-term measurements of dark current variations (offset) during operation are incorporated. Due to changes in the sensor system, which include thermal imbalance and mechanical stress gain and offset may vary over time. The result of this is visually perceptible as along-track striping noise after radiometric calibration. In this work, a new approach is presented that enables fast, highly precise and parameter-free destriping of uncorrelated striping noise that enhances the radiometric accuracy of hyperspectral push-broom data takes, and, hence, improves the outputs of succeeding applications. It is part of the existing ROME (Reduction of Miscalibration Effects) framework and is based on a noise-perpendicular gradient minimization technique. The performance was tested and compared to four state-of-the-art algorithms using artificially degraded hyperspectral whisk-broom scenes from a HyMAP campaign over Germany, two AISA scenes over Germany and two EO-1 Hyperion scenes over Namibia. Proposed approach clearly outperforms all other tested approaches even in low SNR scenarios like close to atmospheric absorption bands. On average a destriping accuracy of 99.75 % can be achieved having 3σ of only 1 % and, thus, it has been integrated into the state-of-the-art ROME framework that becomes a standard inside hyperspectral pre-processing chains.
DOI: 10.12760/03-2014-21
title: Advances in DSM generation and higher level information extraction from high resolution optical stereo satellite data

description: The automatic generation of digital surface models (DSM) of urban areas from high and very high resolution (VHR) stereo data from satellites is still a research issue. Image matching algorithms from computer vision have been introduced and adopted to satellite imagery in recent years. These algorithms do not work using local optimisation like area based matching but try to optimize a global cost function. Analysis shows that matching approaches based on epipolar images like semi-global matching (SGM) and new methods using total generalized variation (TGV) yield the best results. Especially satellites like Worldview-2, GeoEye-1 and Pleiades exhibit very high spatial resolution and geometric quality and can therefore be used to generate DSMs with good properties. If several stereo images from one orbit are available, a combination of DSMs generated by different stereo pairs leads to even better results. Using these DSMs, which already show urban area features in high detail, further higher level information can be extracted and new products can be generated.
DOI: 10.12760/03-2014-18
title: Large area covering LiDAR height models – problems and solution

description: The company BIMTAS, belonging to the Greater Istanbul Municipality, generates a digital height model (DHM) for the area of the Greater Istanbul Municipality with a Riegl LSM-Q680i full waveform laser scanner with 400kHz and a used field of view of +/-30°. 
A precise absolute orientation requires ground control points (GCP), presented by height values of gable roofs to allow also an improvement of horizontal shifts. Because of the very high number of flight lines it is not possible to have GCP for any flight line, so sub-blocks of approximately 10 flight lines have been combined by 3D-transformation based on height points on planes. These sub-blocks have been transformed to the GCP. The varying overlap of neighbored LiDAR-strips in the range of 40% allows a three-dimensional transformation of neighbored, but if 10 strips of a sub-block are transformed together this may lead to unfavorable error propagation. The sub-blocks are only shifted to control point groups with points on inclined roofs and on the ground. Nevertheless a check of the transformed LiDAR-strips by check points results in a vertical accuracy of better as 5cm. Another possibility of joining overlapping LiDAR-strips is a filtering of the point cloud, eliminating points on vegetation and at building limits. Such a transformation uses quite more corresponding points as the method based just on planes and is robust also in areas only with few and not well distributed buildings. The result of transformation is on a similar level.
In addition to the original digital surface models (DSM) also DHM with the points of the bare ground have been generated.
The major problem of the LiDAR-points is the data amount. With a density of 16 points/m² a single strips has approximately 500 million ground points, exceeding the capacity of several programs.
DOI: 10.15468/rr4ff9
title: Phylogeny of dracunculoid nematodes (Chromadorea: Rhabditida: Spirurina Dracunculoidea) from some Eurasian freshwater fishes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sokolov, Sergey G., Kalmykov, Alexander P., Malysheva, Svetlana V. (2020): Phylogeny of dracunculoid nematodes (Chromadorea: Rhabditida: Spirurina Dracunculoidea) from some Eurasian freshwater fishes. Zootaxa 4858 (4): 521-541, DOI: https://doi.org/10.11646/zootaxa.4858.4.3
DOI: 10.12760/03-2014-17
title: COSMO-SkyMed® Imagery for Crops Characterization

description: This paper shows some preliminary results on the exploitation of COSMO-SkyMed® (CSK®) data for the characterization of agricultural fields. In particular, we analyze the impact of the planting row direction on to the radar backscattering response. We considered two different crop types, namely carrots and potatoes, and we grouped them in two subsets, the first including fields with row direction roughly perpendicular to the Synthetic Aperture Radar (SAR) Look Direction (LD) and the second including fields with row direction parallel to the SAR LD. A multi-temporal analysis of the CSK® backscattering coefficients for this two different sensor-target acquisition geometries, at three different incidence angles and at VV, HH, VH polarization are presented. Moreover, the influence of the row direction on the retrieval of the Normalized Difference Vegetation Index (NDVI) was investigated. The preliminary results show that CSK® at VH polari-zation is sensitive to crop biomass independently of the sensor incidence angle and rows direction of the crops fields. On the contrary, the backscattering coefficients at HH and VV polarization are sensitive only when the sensor incidence angle is parallel to crops rows.
DOI: 10.12760/03-2014-24
title: Development and evaluation of a near real time system for assessing hydrologic response in Chenab river catchment

description: Investigating the hydrologic response of a catchment to adverse climate changes is crucial for managing land and water resources and mitigating the natural hazards like floods. Limited availability of the in situ data, especially in case of transboundary rivers, fur-ther highlights the need to develop and evaluate decision support systems which may predict the flows in near real time using open source satellite rainfall data. Study was conducted in the Chenab river catchment to develop and evaluate a hydrologic model using HEC-HMS for predicting flows based on TRMM rainfall data. The catchment was analyzed regarding hydro-morphological properties using HEC-GeoHMS tools. Digital soil map of the world developed by FAO and global land cover map developed by European Space Agency were utilized to develop Curve Numbers for the sub-basins. The model was calibrated and validated for summer/rainy months (June-September) for 2006 and 2007, respectively. There was found consistency between simulated and observed flows with percent difference in volume to be 5.49% and 6.61% for calibration and validation periods, respectively. Values of Nash-Sutcliffe Efficiency were found relatively less (0.57 for calibration and 0.07 for validation) possibly due to continuous nature of simulations. Further refinement in calibrated parameters can be performed based on event-based simulations to better capture the effects of extreme rainfall events in terms of floods, and all this analysis may help as a mile stone in developing a near real time decision support system.
DOI: 10.12760/03-2014-23
title: The use of GIS tools in the study of ventilation corridors in Warsaw - The example of frontal area index method. The case of Mokotowski Ventilation Corridor

description: Scientific Project made by the Students Association of Environmental Development, Planning and Management placed on Faculty of Geodesy and Cartography Warsaw University of Technology is a dissertation concerning the influence of different types of land use on the efficiency of ventilation corridors. This part of project presents an extensive study of urban ventilation using the model of roughness parameter created with frontal area index ratio and GIS tools. The local climate in Warsaw is greatly influenced by existing ventilation corridors and the urban morphology, including high buildings, green spaces, wide streets and infrastructure. Mokotowski Ventilation Corridor is the most important for Warsaw's aeration, because it is the only one, which delivers fresh air from suburbs to the center of Warsaw. During last 20 years the area of the corridor and its overall efficiency has changed dramatically because of the location of new developments.
DOI: 10.15468/frhqkb
title: Two new sympatric species of Stenocercus (Squamata: Iguania) from the inter- Andean valley of the Mantaro River, Peru

description: This dataset contains the digitized treatments in Plazi based on the original journal article Venegas, Pablo J., Echevarr?a, Lourdes Y., Garc?a-Ayachi, Luis A., Landauro, Caroll Z. (2020): Two new sympatric species of Stenocercus (Squamata: Iguania) from the inter- Andean valley of the Mantaro River, Peru. Zootaxa 4858 (4): 555-575, DOI: https://doi.org/10.11646/zootaxa.4858.4.5