cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12760/01-2013-2-08
title: Teaching materials, encyclopaedia, easy-to-use image processing - the FIS Learning Portal on remote sensing

description: In this contribution we present a web-based learning portal on the subject of remote sensing for schools. The learning portal contains interactive material that is intended to give young students a new understanding of the value of natural sciences by connecting curriculum-oriented topics with specific exemplary applications from topics of remote sensing and digital image analysis. Above that, the portal contains comprehensive background information on remote sensing and specific analysis tools enabling individual exploration of satellite images. Both, the learning portal and the learning material are following a moderate constructivist approach encouraging students to discover the material independently. Here, we focus on the portal's learning management functions, giving teachers the opportunity to analyse their students' results. Furthermore, we present our first experiences with the portal after half a year of service.
DOI: 10.12760/01-2013-2-07
title: sigma-IASI-beta: a hyperfast radiative transfer code to retrieve surface and atmospheric geophysical parameters

description: This paper describes an improved, faster, implementation of the sigma-IASI model, with a new parameterization of radiative transfer in cloudy atmosphere. The model can compute up and/or downwelling spectral radiances, emitted from the Earth's system and their analytical Jacobians with respect to a set of geophysical parameters and the water vapour and carbon dioxide continua absorbing coefficients. The paper presents also its software implementation and a retrieval exercise of the tropospheric content of CO2, CO, N2O and CH4 on the Mediterranean Sea. The content of the gases is compared with the ground-based measurements of the Global Atmosphere Watch network. The innovation introduced in the model is the down-sampling of the look-up table by means of a spectral averaging of the layer optical depths on bins of 0.01 /cm width before they are parameterized as a low order polynomial of temperature and, only for water vapour, of water vapour concentration itself to take into account the self-broadening effect.
DOI: 10.5281/zenodo.4413341
title: Fishtrap Creek thermal dynamics - scripts and data sets

description: This repository contains data sets and scripts used in the analysis reported in an article titled "Predicting latent and sensible heat fluxes in stream temperature models -- current challenges and potential solutions"
DOI: 10.5281/zenodo.4413340
title: Fishtrap Creek thermal dynamics - scripts and data sets

description: This repository contains data sets and scripts used in the analysis reported in an article titled "Predicting latent and sensible heat fluxes in stream temperature models -- current challenges and potential solutions"
DOI: 10.12760/01-2013-2-05
title: Model for detection and assessment of abiotic stress caused by uranium mining in European Black Pine landscapes

description: The article presents the results obtained from a study for detection and assessment of abiotic stress through pollution with heavy metals, metalloids, and natural radionuclides in European Black Pine (Pinus nigra L.) forests caused by uranium mining using ground-based biogeochemical, biophysical, and field spectrometry data. The forests are located on a territory subject to underground and open uranium mining. An operational model of the study is proposed. The areas subject to technogeochemical load are outlined based on the aggregate pollution index Zc. Laboratory and field spectrometry data were used to detect the signals of abiotic stress at pixel level. The methods used for determination of stressed and unstressed black pine forests are: four vegetation indices (TCARI, MCARI, MTVI 2, and PRI 1) for stress detection, and the position, depth, asymmetry, and shift of the red-edge. Based on the "blue shift" and the depth and position of the red-edge, registered by the laboratory analysis and field spectral reflectance, it is established that coniferous forests subject to abiotic stress show an increase in total chlorophyll content and carotene. It has been found that the vegetation indices MTVI 2 and PRI 1, as well as the combination of vegetation indices and pigments may be used as a direct indicator of abiotic stress in coniferous forests caused by uranium mining.
DOI: 10.12760/01-2013-2-04
title: Analysis of the performances of hyperspectral lidar for water pollution diagnostics

description: The paper is aimed at the analysis of the performances of hyperspectral lidar for detection and classification of oil pollution in water in comparison with a laser fluorosensor having a few discrete detection channels only. It is demonstrated that hyperspectral laser-induced fluorescence (HLIF) spectra include all relevant spectral information about the target in contrast to discrete detection channel sensor data. In order to extract significant features from HLIF data, a multi-resolutional analysis, namely the discrete wavelet transform (DWT), is applied. The feature extraction is automated using the sparsity-norm optimization method. The resulting features have a clear spectral representation and are used in automatic object classification. The classification results and selectivity are compared with discrete detection channel sensor data on a number of oil pollutants. The results of simulation experiments demonstrate the high value of classification accuracy and the ability to sub-classify similar organic compounds from single groups of objects. A comparison with discrete channel sensor data shows a significant increase in the overall performance of oil pollution detection and classification.
DOI: 10.6084/m9.figshare.13489368
title: Initial loading data (for shinyDepMap v2)

description: Data to be loaded in shinyDepMap (ver2)The file is named "depmap_initial_19q3_v3_local_run.rda"<br>
DOI: 10.6084/m9.figshare.13489368.v1
title: Initial loading data (for shinyDepMap v2)

description: Data to be loaded in shinyDepMap (ver2)The file is named "depmap_initial_19q3_v3_local_run.rda"<br>
DOI: 10.12760/01-2013-2-02
title: EnGeoMAP - A geological mapping tool applied to the EnMAP mission

description: Hyperspectral imaging spectroscopy offers a broad range of spatial applications that are primarily based on the foregoing identification of surface cover materials. In this context, the future hyperspectral sensor EnMAP will provide a new standard of highly qualitative imaging spectroscopy data from space that enables spatiotemporal monitoring of surface materials. The high SNR of EnMAP offers the possibility to differentiate and to identify minerals that are showing characteristic absorption features as a 30 m x 30 m spatial mixture in the visible, the near infrared and the short wave infrared range (0.4 - 2.5 micrometre). For this purpose, spectral mixture analysis (SMA) approaches are traditionally used. However, these approaches lack in transferability, repeatability and inclusion of sensor characteristics. Additionally, they rely on image-based and randomly detected endmembers as well as on in situ or laboratory spectra that are not spatially stable in case of an image-based extraction and are assumed to be spectrally pure. In this work, a new framework is proposed that addresses these limitations considering the EnMAP sensor characteristics. It is named EnMAP Geological Mapper - EnGeoMAP. It consists of several new and adapted approaches to identify spectrally homogeneous regions. In parallel, minerals are identified and semiquantified by a se-nsor-related and knowledge-based fitting approach. Supplementary outputs are abundance, classification, homogeneity and uncertainty maps. First results show that the proposed approach offers 100% percent repeatability and gains an identification error for minerals of about 2 percent on average for different studies. In this work, an approach is proposed that aims on spectroscopic mineral modelling by image synthesis that might be applied for geological mapping.
DOI: 10.12760/01-2013-2-01
title: Evaluation and assessment of arctangent-based post-glacial land uplift model

description: This paper describes a new method for improved estimation of the parameters of a semi-empirical land uplift model of Fennoscandia, introduced by Tore Passe in 2001. The behaviour and the basis of the land uplift model parameters are also evaluated. The ongoing land uplift in the Baltic Sea region is due to the rebound of glacial stress caused by the most recent ice age 115,000-10,000 years before present (BP). The improved methodology for the land uplift model parameter estimation presented in this study is based on regional variations in bedrock properties and download. The parameters are computed using ancient shore level positions and information about the prehistoric population in Finland. Because of the uncertainties and inaccuracies in the radiocarbon dating and the shore level estimations, Monte Carlo simulation was employed for the estimation of the parameter distributions. The resulting parameter estimates indicate the possibility of local variations in land uplift in Finland.
DOI: 10.12760/01-2013-1-06
title: A global evaluation of harmonic analysis of time series under distinct gap conditions

description: Reconstruction of time series of satellite image data to obtain continuous, consistent and accurate data for downstream applications is playing a crucial role in remote sensing applications such as vegetation dynamics, land cover changes, land-atmosphere interactions and climate changes. Among the numerous methods and models developed to reconstruct time series of satellite observations in recent decades, Harmonic ANalysis of Time Series (HANTS) is one of the most widely used. Many studies based on time series reconstructed with HANTS documented the excellent performance of this method.
In the view of this study, the HANTS algorithm can be divided into two sub-processes, i.e., contaminated data identification and series reconstruction based on valid data. This study was dedicated to the evaluation of the performance of the latter sub-process. A simulated reference series dataset was constructed first, and then random gaps were introduced to these reference series. We built a look up table for distinct gap conditions by doing statistics on the deviation between the reference series and series reconstructed from gapped reference series. The look up table was used to evaluate the performance of a global NDVI time series dataset processed by HANTS.
The results show that the size of maximum gap (MGS), the number of loss (NL) and the number of gaps (NG) were significant factors in the reconstruction. When NDVI time series were rebuilt by HANTS, most of the region north than 40 degree N and mountainous areas of earth show bad reconstruction performance, that is, the root mean square deviation (RMSD) could exceed 0.25. This can be attributed to the periodical snow cover in these regions.
DOI: 10.12760/01-2013-1-05
title: Water constituent retrieval and littoral bottom mapping using hyperspectral APEX imagery and submersed artificial surfaces

description: The analysis of littoral bottom properties such as bathymetry and coverage (i.e. plant identification) often requires knowledge about the composition of relevant optically active water constituents like phytoplankton, suspended particulate matter and coloured dissolved organic matter, which influence the radiative transfer in water due to scattering and/or absorption. These inherent optical properties (IOPs) of the water column can be retrieved in optically deep water (i.e., with no reflectance contribution of the bottom) by using physically based inversion techniques. In shallow water - which often differs from deep water in the amount of water constituents due to terrestrial input from the shore - a reliable estimation of IOPs requires at least a valid bottom reflectance, which is difficult to measure in water. An accurate estimation of water constituents is essential to the retrieval of bottom reflectance and subsequent identification of invasive aquatic plants, which was the main goal of this project.
In an experimental approach, the application of artificial surfaces for retrieving water constituents as well as bottom depth was tested during the hyperspectral APEX campaign 2011 covering Lake Starnberg in southern Germany. Two silo foils (10 metres wide and 50 metres long) were spread on the littoral bottom covering depths from 0.5 to 16 metres and acting as a very bright (white side of the foil) as well as a very dark (black side of the foil) reflective bottom albedo for the ENVI add-on BOMBER in terms of water constituents retrieval and bottom depth estimation. Reflectance spectra of the foils are known from laboratory measurements. In situ measurements were performed in water using RAMSES spectrometers and processed using the algorithms implemented in BOMBER as well as the inversion software WASI. The results show best performance for the black sided foil regarding pixel unmixing, water constituent retrieval and depth estimation, which agreed well with the WASI inversion results of the downwelling irradiance, which was used for validation due to lacking bottom influence.
DOI: 10.12760/01-2013-1-03
title: Canopy structure effect on SAR image texture versus forest biomass relationships

description: Quantifying forest biomass is of crucial importance for estimating carbon fluxes on the regional and global scale in climate change studies. Significant relationships have already been established between radar mean intensity and forest biomass, but these relationships show a reduced sensitivity to biomass variations for mature stands (about 80 t/ha and more). On the contrary, recent studies have shown that image texture is significantly related to biomass even for mature stands for a temperate, monospecific, even-aged forest the biomass of which is 140 t/ha at its highest point.
The present paper aims at extending these observations to tropical forests which represent a large terrestrial biomass pool with values higher than 450 t/ha. Radar images were acquired during the TropiSAR experiment in 2009, which took place over a tropical rain forest located in French Guiana at P band and cross-polarization with the use of SETHI ONERA airborne instrument. Three sets of treatments applied to 15 forest stands provided biomass values from 268 to 466 t/ha where permanent zones of 6.25 ha each were mapped and regularly measured.
Homogeneous patches were selected inside each of the 15 experimental stands. Statistical features were then derived for each patch: a) from grey level statistics; b) from the statistics of pixel pairs on the basis of the gray level co-occurrence matrix. It is shown that linear relationships between texture features and forest biomass are heavily influenced by stand structure and the local topography and soil of the experimental stands. But, when stands are separated on two structural groups using texture descriptors, texture/biomass regressions reveal to be very significant.
DOI: 10.12760/01-2013-1-02
title: A multitemporal and non-parametric approach for assessing the impacts of drought on vegetation greenness: A case study for Latin America

description: This study evaluates the relationship between the frequency and duration of meteorological droughts and the subsequent temporal changes on the quantity of actively photosynthesizing biomass (greenness) estimated from satellite imagery on rainfed croplands in Latin America. An innovative non-parametric and non-supervised approach, based on the Fisher-Jenks optimal classification algorithm, is used to identify multi-scale meteorological droughts on the basis of empirical cumulative distributions of 1, 3, 6, and 12-monthly precipitation totals. As input data for the classifier, we use the gridded GPCC Full Data Reanalysis precipitation time-series product, which ranges from January 1901 to December 2010 and is interpolated at the spatial resolution of 1 degree (decimal degree, DD). Vegetation greenness composites are derived from 10-daily SPOT-VEGETATION images at the spatial resolution of 1/112 degree DD for the period between 1998 and 2010. The time-series analysis of vegetation greenness is performed during the growing season with a non-parametric method, namely the seasonal Relative Greenness (RG) of spatially accumulated fAPAR. The Global Land Cover map of 2000 and the GlobCover maps of 2005/2006 and 2009 are used as reference data to select study cases only on geographic areas that did not undergo land cover changes during the analysis period. The multi-scale information is integrated at the lowest spatial resolution available, i.e. 1 degree DD, and the impacts of meteorological drought episodes on seasonal greenness of rainfed crops are assessed at the regional scale. Final results suggest that the agricultural cycle at the regional scale is more correlated with long-standing and uninterrupted small timescale drought conditions that occur prior to vegetation growing season than with isolated and short long-term timescale drought events.
DOI: 10.12760/01-2013-1-01
title: Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements

description: The objective of the present research was the characterisation of fire hazard using temporal sequences of land surface temperature (LST) derived from Terra-MODIS measurements. The investigation was based on a complete sequence of MODIS LST data from 2000 to 2006 on Campania (Italy) and on a data set of fires officially recorded in the area in the same period.
Missing and/or cloudy LST data were reconstructed by means of the HANTS (Harmonic ANalysis of Time Series) algorithm applied to annual sequences of daily observations. The coefficients of the Fourier analysis were then assessed against spatial patterns of fire occurrence. The HANTS algorithm was also used on the complete LST data set to construct daily reference temperature maps against which to evaluate temperature anomalies and cumulated temperature anomalies.
Results show that fires tend to occur in areas characterised by specific values of several Fourier coefficients with high significance, and to avoid the other areas. The amplitude of the second harmonic is the only Fourier coefficient dictating mean fire size. The mean fire size and the proportion of large fires correlate with both daily and cumulated thermal anomalies. However, the dynamic range of the predictions from cumulated anomalies is much larger, and thus maps of the latter are more effective in predicting fire hazard.
DOI: 10.15468/3z6wss
title: Description of a new water mite of the genus Utaxatax (Acari, Hydrachnidia: Anisitsiellidae) from Kazakhstan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tuzovskij, Petr V. (2020): Description of a new water mite of the genus Utaxatax (Acari, Hydrachnidia: Anisitsiellidae) from Kazakhstan. Zootaxa 4860 (3): 445-450, DOI: https://doi.org/10.11646/zootaxa.4860.3.9
DOI: 10.15468/qb3qhk
title: On the hydroid genus Sibogella Billard, 1911 (Cnidaria: Hydrozoa: Plumulariidae) with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Galea, Horia R., Maggioni, Davide, Di Camillo, Cristina G. (2020): On the hydroid genus Sibogella Billard, 1911 (Cnidaria: Hydrozoa: Plumulariidae) with descriptions of two new species. Zootaxa 4860 (4): 521-540, DOI: https://doi.org/10.11646/zootaxa.4860.4.3
DOI: 10.15468/9fxrwr
title: A new comb-star (Asteroidea, Astropectinidae) from the Upper Triassic (Carnian) of China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gale, Andrew S. (2020): A new comb-star (Asteroidea, Astropectinidae) from the Upper Triassic (Carnian) of China. Zootaxa 4861 (1): 139-144, DOI: https://doi.org/10.11646/zootaxa.4861.1.10
DOI: 10.6084/m9.figshare.13515224.v1
title: Fertility results from mouse KO experiments

description: Data is sourced from the referenced publication, or via correspondence with authors.
DOI: 10.34740/kaggle/dsv/1810527
title: BART Ridership
DOI: 10.5281/zenodo.4414823
title: PFP data repository

description: This archive contains the data shown in most Figures of the manuscript von der Gathen et al., The influence of climate change on chemical loss of ozone in the Arctic stratosphere, submitted to Nature Communications, January 2021 as well as some data sets used in the manuscript.
DOI: 10.12760/02-2015-2-02
title: SYSIPHE System: A state of the art airborne hyperspectral imaging system. Initial results from the first airborne campaign

description: SYSIPHE is an airborne hyperspectral imaging system and the result of a cooperation between France (Onera and DGA - Delegation Generale de l'Armement) and Norway (NEO and FFI (Forsvarets forskningsinstitutt)). It is a unique system by its spatial sampling of 0.5 m with a 500 m swath at a ground height of 2000 m combined with its wide spectral coverage from 0.4 micrometre to 11.5 microometre in the atmospheric transmission bands. Its infrared component, named SIELETERS, consists in two high etendue imaging static Fourier transform spectrometers, one for the midwave infrared and one for the longwave infrared. These two imaging spectrometers are closely similar in design, since both are made of a Michelson interferometer, a refractive imaging system, and a large infrared focal plane array (1016 x 440 pixels). Moreover, both are cryogenically cooled and mounted on their own stabilization platform which allows the line of sight to be controlled and recorded. These data are useful to reconstruct and to georeference the spectral image from the raw interferometric images. 
The visible and shortwave infrared component, named Hyspex ODIN-1024, consists of two spectrographs for VNIR (Visible and Near InfraRed) and SWIR (Short Wave InfraRed) based on transmissive gratings. The latter share a common fore-optics and a common slit to ensure perfect registration between the VNIR and the SWIR images. The spectral resolution varies from 5 nm in the visible to 6 nm in the shortwave infrared.
In addition, the STAD, the postprocessing and archiving system, is developed to provide spectral reflectance and temperature products (SRT products) from calibrated georeferenced and inter-band registered spectral images at the sensor level acquired and pre-processed by SIELETERS and Hyspex ODIN-1024 systems.
SYSIPHE was flown for the first time in September 2013, over Cazaux, a French military airbase for experiments, and over Fauga-Mauzac in France where Onera has installed ground targets. A description of the experiment and some initial results are presented.
DOI: 10.5281/zenodo.4414821
title: Design and Validation of an Assessment Tool for Educational Mobile Applications Used with Autistic Learners

description: Apéndice A y B, materiales complementarios a la publicación: Sanromà-Giménez, M., Lázaro Cantabrana, J. L., Usart Rodríguez, M., & Gisbert-Cervera, M. (2021). Design and Validation of an Assessment Tool for Educational Mobile Applications Used with Autistic Learners. Journal of New Approaches in Educational Research, 10(1), doi: 10.7821/naer.2021.1.574
DOI: 10.15468/sjr57j
title: Pseudococcidae (Hemiptera: Coccomorpha) in Uruguay: morphological identification and molecular characterization, with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pacheco Da Silva, Vitor C., Kaydan, Mehmet Bora, Basso, Cesar (2020): Pseudococcidae (Hemiptera: Coccomorpha) in Uruguay: morphological identification and molecular characterization, with descriptions of two new species. Zootaxa 4894 (4): 501-520, DOI: https://doi.org/10.11646/zootaxa.4894.4.1