cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i20356609v12i1p217
title: Alternating School-Work Pathways in Italy. Some Remarks on the "Competence Society"

description: Since the mid-nineties, the European Union and UNESCO have promoted a new form of didactics aimed at developing competences. These "key competences", subsequently identified by the Council and the European Parliament, are considered as fundamental for Europe's response to globalisation. Their close link with a neoliberal perspective of the working world - as can also be deduced from the non-random choice of the term "competence" - is evident. In particular, the competence related to the sense of initiative and entrepreneurship has assumed a strategic role within the "Lifelong Learning Programme" and the "Europe 2020" programme, fostering the spread of a new labour market model no longer based on the prevailing paid employment. Recent Italian legislation on educational institutions, and Law 107/2015 in particular, have acknowledged the European Union guidelines regarding promotion of the key competences, and more specifically of alternating school-work pathways. Although it is too early to make an overall evaluation of the effects these laws have produced, the actions promoted so far do not seem to overcome the existing inequality in Italy's educational and employment opportunities. Furthermore, the objective of promoting competences that can be directly used on the labour market, to the detriment of broader cultural preparation deemed useless for this purpose, risks impoverishing the education of the most disadvantaged, those people who have the fewest chances of acquiring knowledge and critical thinking outside the school context. The transformations taking place in the educational field appear to proclaim the advent of a "Competence Society", the last metamorphosis of an epiphenomenon with its roots in the globalised capitalist system which is leaving social reproduction mechanisms unchanged.
DOI: 10.17183/mnt_med100m_gdl_ca_homonim_wgs84
title: MNT Bathymétrique de façade du Golfe du Lion - Côte d'Azur (Projet Homonim)

description: Le produit MNT bathymétrique de façade golfe du Lion – Côte d’Azur d'une résolution de 0.001° (~ 111 m) a été réalisé dans le cadre du projet HOMONIM. Il couvre l’intégralité de la façade métropolitaine méditerranéenne, du littoral jusqu’à environ 2800 m de profondeur. 
Le MNT est destiné à être implémenté dans les modèles hydrodynamiques afin de produire des prévisions aussi précises que possible des hauteurs d’eau et d’états de mer à la côte et donc d’améliorer la pertinence de la Vigilance Vagues-Submersion.
DOI: 10.17188/1672797
title: Materials Data on NaSbSe2 by Materials Project

description: NaSbSe2 is Caswellsilverite structured and crystallizes in the trigonal R-3m space group. The structure is three-dimensional. Na1+ is bonded to six equivalent Se2- atoms to form NaSe6 octahedra that share corners with six equivalent SbSe6 octahedra, edges with six equivalent NaSe6 octahedra, and edges with six equivalent SbSe6 octahedra. The corner-sharing octahedral tilt angles are 4°. All Na–Se bond lengths are 3.05 Å. Sb3+ is bonded to six equivalent Se2- atoms to form SbSe6 octahedra that share corners with six equivalent NaSe6 octahedra, edges with six equivalent NaSe6 octahedra, and edges with six equivalent SbSe6 octahedra. The corner-sharing octahedral tilt angles are 4°. All Sb–Se bond lengths are 2.91 Å. Se2- is bonded to three equivalent Na1+ and three equivalent Sb3+ atoms to form a mixture of edge and corner-sharing SeNa3Sb3 octahedra. The corner-sharing octahedral tilt angles are 0°.
DOI: 10.26208/z7bf-nq20
title: Electrodynamic Levitation Diffusion Chamber Measurements of the Mass Growth of Homogeneously-Nucleated Ice Crystals Grown from the Vapor

description: This data set comprises individual time-series for ice crystals grown in an electrodynamic levitation diffusion chamber at temperatures between -36C and -44C. Descriptions of the chamber and experiments can be found in Pokrifka (2018). Experiments were conducted by freezing small (approximately 10 micrometer radius) droplets homogeneously. Frozen droplets were levitated in the diffusion chamber and grown in a constant temperature, pressure, and supersaturation environment. The voltage ratio needed to levitate the particle was recorded as a function of time and stored in the files archived here. The voltage ratio is identical to the mass ratio of the levitated particles, hence each time-series provides a measure of the mass of the growing particle. The initial size of the injected droplet was measured, and therefore the mass time-series can be calculated from the mass ratio time-series.
DOI: 10.35097/1611
title: PaRandShimDB v1 (2 channels): A subset of the NMR magnet shimming database ShimDB

description: PaRandShimDB v1 is part of the NMR magnet shimming database ShimDB (https://github.com/mobecks/ShimDB) and contains 8799 instances in four subsets. Data is acquired on a preclinical 650MHz magnetic resonance imaging (MRI) device (Bruker BioSpin, Ettlingen, Germany, www.bruker.com) using a custom parallel spectroscopy probehead with two channels and two 50%vv H2O/D2O samples. Each folder in PaRandShimDB v1 contains the binary processed NMR spectra of the two channels (pdata/2/), the local shim values (localshims.txt), and the raw data (rawdata.job0). For a detailed description, please refer to the referenced manuscript, or https://github.com/mobecks/ShimDB.
DOI: 10.5281/zenodo.5874826
title: Besides the key role of translation factors, an ABC transporter and Heat shock protein 90-2 appears to be involved in the resistance of a maize line against Sugarcane mosaic virus

description: Data for revision round 1
DOI: 10.5281/zenodo.7233404
title: DeepStat WP5 Solar Panel Dataset

description: The DeepSolaris/ DeepGeoStat dataset was developed in two projects with the same names, during the period 2017 - 2022. The dataset contains 20m x 20m cutouts from an aerial image of the Netherlands. Multiple annotators labeled each cutout for the presence or absence of solar panels. The dataset can be used to train machine or deep learning models on a solar panel classification task. The dataset contains cutouts from the 2018 high-resolution (DOP 10) aerial image of the Netherlands. Each cutout is 200x200 pixels which translates to a 20m x 20m grid. Cutouts were sampled from two nearby regions in the Netherlands: 1. The region around the city of <em>Heerlen</em> 2. The region around the city of <em>Valkenburg</em> Between both regions, a 100m strip was left free in which no cutouts were sampled. Both image subsets are therefore independent of each other. In total 26 annotators, annotated 63258 unique pictures with 200795 annotations; 34523 positive annotations indicating that the annotator saw a solar panel in the image, and 166272 negatives indicating that the annotator didn't see a solar panel in the image. More information can be found in the README.md in the archive. This research was conducted under: the ESS action 'Merging Geostatistics and Geospatial Information in Member States' (grant agreement no.: 08143.2017.001-2017.408), under the ESS topic B5674-2020-GEOS (project 101033951 2020-NL-GEOS-DEEP-GEO-STAT), an investment of [Statistics Netherlands](https://www.cbs.nl) for the development of Deep Learning models, practices, and methodology. The researchers want to furthermore thank everyone involved in helping to create and annotate this dataset.
DOI: 10.5281/zenodo.8265999
title: Supplemental Data for "Unraveling Vulnerabilities in Endocrine Therapy-Resistant HER2+/ER+ Breast Cancer"

description: Supplemental data files for Bahnassy et al, "Unraveling Vulnerabilities in Endocrine Therapy-Resistant HER2+/ER+ Breast Cancer"
DOI: 10.5683/sp2/gxxg6x
title: Economic evaluation of the Smart Discharges program in Uganda

description: Data was collected from September to December 2019 via a mixed-methods approach to: 1) Identify cost drivers 2) Estimate out-of-pocket costs 3) Conduct a cost-effectiveness analysis of the Smart Discharge program.
DOI: 10.5281/zenodo.5638148
title: A statistical shape model of craniosynostosis patients and 100 model instances of each pathology

description: This dataset is part of the publication "A statistical shape model for radiation-free assessment and classification of craniosynostosis" (M. Schaufelberger et al.). It includes several 3D head models constructed of surface scans of craniosynostosis patients: The full shape model, a texture model, and submodels of four classes: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly). Each of the models is available in an .h5 file. We also include 100 mesh instances as a .ply file in a zip file. For combining our model with the work of other authors, we also included .cvs file with point-to-point correspondences to the [Liverpool-York child head model (Dai et al. 2019)](https://doi.org/10.1007/s11263-019-01260-7).
DOI: 10.5281/zenodo.10167123
title: A statistical shape model of craniosynostosis patients and 100 model instances of each pathology

description: This dataset is part of the publication "A statistical shape model for radiation-free assessment and classification of craniosynostosis" (M. Schaufelberger et al.).  It includes several 3D head models constructed of surface scans of craniosynostosis patients: The full shape model, a texture model, and submodels of four classes: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly).  Each of the models is available in an .h5 file.  We also include 100 mesh instances as a .ply file in a zip file.  The model's statistical information can be incorporated into the [Liverpool-York child head model (Dai et al. 2019)](https://doi.org/10.1007/s11263-019-01260-7) as it uses the same vertex order and IDs (starting from index 0).  If you want to synthesize new models, take a look a the demo.py file.  For information about the hierarchy in the h5-file, take a look at documentation.md.
DOI: 10.5281/zenodo.5638147
title: A statistical shape model of craniosynostosis patients and 100 model instances of each pathology

description: This dataset is part of the publication "A statistical shape model for radiation-free assessment and classification of craniosynostosis" (M. Schaufelberger et al.).  It includes several 3D head models constructed of surface scans of craniosynostosis patients: The full shape model, a texture model, and submodels of four classes: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly).  Each of the models is available in an .h5 file.  We also include 100 mesh instances as a .ply file in a zip file.  The model's statistical information can be incorporated into the [Liverpool-York child head model (Dai et al. 2019)](https://doi.org/10.1007/s11263-019-01260-7) as it uses the same vertex order and IDs (starting from index 0).  If you want to synthesize new models, take a look a the demo.py file.  For information about the hierarchy in the h5-file, take a look at documentation.md.
DOI: 10.5281/zenodo.6390158
title: A statistical shape model of craniosynostosis patients and 100 model instances of each pathology

description: This dataset is part of the publication "A statistical shape model for radiation-free assessment and classification of craniosynostosis" (M. Schaufelberger et al.). It includes several 3D head models constructed of surface scans of craniosynostosis patients: The full shape model, a texture model, and submodels of four classes: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly). Each of the models is available in an .h5 file. We also include 100 mesh instances as a .ply file in a zip file. The model's statistical information can be incorporated into the [Liverpool-York child head model (Dai et al. 2019)](https://doi.org/10.1007/s11263-019-01260-7) as it uses the same vertex order and IDs.
DOI: 10.15151/esrf-es-1345032052
title: Uranium electronic structure in UxOy compounds by L-edges X-ray emission spectroscopy

description: Non-resonant X-ray emission spectroscopy (XES) is a promising candidate to probe efficiently the speciation of actinide elements because XES can overcome the limitation usually encountered in standard techniques such as X-ray photoelectron spectroscopy (XPS) and High-energy Resolution Fluorescence detected X-ray Absorption spectroscopy (HERFD-XAS). However, XES sensitivity toward actinide’s speciation or local order is still missing, essentially because of the lack of the corresponding data. Therefore, we are proposing to perform extensive and systematic experiments on uranium oxide samples, showing various uranium speciation and local order. The obtained spectra will be then compared to electronic structure calculations, and when available XPS data, to build a better understanding of the uranium electronic structure in general and of the XES capability in particular.
DOI: 10.22008/fk2/indsba/rthhdw
title: Kvartaerets_tykkelse.tif

description: :unav
DOI: 10.22008/fk2/indsba/tqcqwi
title: Kvartærets tykkelse.mpkx

description: :unav
DOI: 10.22008/fk2/indsba/6nukbx
title: Kvartaer tykkels.qgz

description: :unav
DOI: 10.22008/fk2/indsba/xhkzmp
title: Kvartaerets_tykkelse.tif.aux.xml

description: :unav
DOI: 10.22008/fk2/indsba
title: Kvartærets tykkelse i Danmark

description: Tykkelsen af de kvartære aflejringer i Danmark er beregnet som forskellen mellem terræn (Geodatastyrelsen - højdemodel 2008) og dybden til toppen af de prækvartære aflejringer (GEUS - Prækvartæroverflades højdeforhold). Data leveres som en ArcGIS Pro MapPackage-fil, samt en mappe med filer til brug i QGIS. Thickness of Quaternary deposits in Denmark calculated as the difference between terrain (2008 terrain model from Geodatastyrelsen) and depth to top Quaternary (GEUS map). Data are delivered as an ArcGIS Pro map package file and a folder with files for QGIS.
DOI: 10.22008/fk2/indsba/biomxd
title: Kvartaerets_tykkelse.tfw

description: :unav
DOI: 10.5281/zenodo.10167338
title: Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20
DOI: 10.22008/fk2/dzhbp5/3taqec
title: SICEv2.3.2_Beaufort_1000m_2019_06_06.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2019_06_06.nc, date: 2019-06-06
DOI: 10.22008/fk2/dzhbp5/ma2v0p
title: SICEv2.3.2_Beaufort_1000m_2019_08_02.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2019_08_02.nc, date: 2019-08-02
DOI: 10.22008/fk2/dzhbp5/kewulp
title: SICEv2.3.2_Beaufort_1000m_2020_04_21.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_21.nc, date: 2020-04-21
DOI: 10.22008/fk2/dzhbp5/fpvnjh
title: SICEv2.3.2_Beaufort_1000m_2020_04_22.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_22.nc, date: 2020-04-22
DOI: 10.22008/fk2/dzhbp5/bsn59q
title: SICEv2.3.2_Beaufort_1000m_2020_04_24.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_24.nc, date: 2020-04-24
DOI: 10.22008/fk2/dzhbp5/x82vmz
title: SICEv2.3.2_Beaufort_1000m_2020_04_23.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_23.nc, date: 2020-04-23
DOI: 10.22008/fk2/dzhbp5/ygdvsn
title: SICEv2.3.2_Beaufort_1000m_2020_04_25.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_25.nc, date: 2020-04-25
DOI: 10.22008/fk2/dzhbp5/up6be2
title: SICEv2.3.2_Beaufort_1000m_2020_04_27.nc

description: SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_27.nc, date: 2020-04-27
DOI: 10.3886/e112436v1-143202
title: Replication data for: Education and Labor Market Discrimination

description: Using a model of statistical discrimination and educational sorting, we explain why blacks get more education than whites of similar cognitive ability, and we explore how the Armed Forces Qualification Test (AFQT), wages, and education are related. The model suggests that one should control for both AFQT and education when comparing the earnings of blacks and whites, in which case a substantial black-white wage differential emerges. We reject the hypothesis that differences in school quality between blacks and whites explain the wage and education differentials. Our findings support the view that some of the black-white wage differential reflects the operation of the labor market. (JEL I21, J15, J24, J31, J71)
DOI: 10.6084/m9.figshare.24598488
title: Transparency/Sunshine Act/Poland

description: In May 2023, the current research was carried out utilizing an online survey distributed through the Ariadna internet panel, with a quota sample of 1057 individuals.
DOI: 10.6084/m9.figshare.24598305
title: <b><i>Batocera horsfieldi</i></b>

description: Rawdata of Batocera horsfieldi male and female adults
DOI: 10.6084/m9.figshare.24596955
title: <i>Colias sifanica</i> mitochondrion, complete genome

description: <i>Colias sifanica </i>mitochondrion, complete genome
DOI: 10.5281/zenodo.10049847
title: Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20
DOI: 10.5281/zenodo.10049848
title: Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20
DOI: 10.6084/m9.figshare.24579100
title: Dataset: Survey on Identifying Web Developer Awareness of Attack Attempts

description: This is the dataset that accompanies the chapter in Tolga Ünlü's PhD thesis titled "Questionnaire-based Survey on Developers’ Attack-Awareness".Additionally, a subset of the data was presented in the following manuscript: Sahin, M., Ünlü, T., Hébert, C., Shepherd, L.A., Coull, N. and Mc Lean, C., 2022, May. Measuring developers’ web security awareness from attack and defense perspectives. In <i>2022 IEEE Security and Privacy Workshops (SPW)</i> (pp. 31-43). IEEE.A Questionnaire-based survey was conducted, including three sections of questions covering demographics, participants familiarity with security controls, especially input validation controls, whether they understand attack attempts and what part of a HTTP request is under a clients’ control. A scenario was provided to evaluate the participants’ awareness of attack attempts indicated by input validation failures. The participants’ responses were analysed to understand how various aspects of input validation controls (e.g., the type of validations performed, the parts of a HTTP request that are validated) are considered which can impact how and whether developers can integrate attack-awareness capabilities.
DOI: 10.60897/fn0g-0r56
title: NDACC Dobson spectrophotometer no. 104 total ozone column data from DWD Hohenpeissenberg station

description: Total Column of Ozone (TCO) measured from Dobson spectrophotometer no. 104. The Dobson spectrophotometer measures TCO by comparing the relative intensities at two of three wavelength pairs in the UV wavelength range from 305.5 to 339.9 nm. These wavelength pairs are referred to as A, C, or D. Each pair is a ratio of solar irradiation in a short wavelength band that is highly absorbed by ozone, to solar irradiation in a long wavelength band that is less affected by ozone. For each measurement, an optical attenuator (a.k.a. wedge), is gradually adjusted to reduce the higher light intensity at the long wavelength, until it is equal to the lower light intensity at the short wavelength. With the information on the exact ratio of the long-to-short wavelength intensities, TOC values are then determined using the double-ratio of two pair measurements. DWD Hohenpeissenberg has been using Dobson104 operationally since 1968, with emphasis on direct sun AD measurements. Typically, these measurements are performed from Monday to Friday only, resulting in approximately 1200 measurements per year. The Dobson no. 104 undergoes regular calibration by comparison with the Dobson reference instrument Dobson no. 064, maintained by the Regional Dobson Calibration Centre Europe and also located at the Hohenpeissenberg station. For more information on the Dobson system see https://www-air.larc.nasa.gov/pub/NDACC/PUBLIC/meta/dobson/Hohenpeissenberg_dob_vv_2022.pdf. For information about stratospheric ozone at Hohenpeissenberg see https://www.dwd.de/ozon .
DOI: 10.22008/fk2/uk14tp/9rs9qh
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/qnnjxf
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/3rk2vh
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/5nrkzv
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/84fgi0
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/axgha6
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/hkrub2
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/0mstpk
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/c6kxl6
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/jkmbeu
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/l9prec
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/ra7vh2
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/xxvxnc
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/crv2lq
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/cuzcap
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/gxvkce
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/hlpd4a
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/ytnhrs
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/zcs383
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/7bzxsp
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/7mj0de
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/dawbf3
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/ri7ik8
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/tbs4t3
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/yp0yov
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/45tdta
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/heuaiz
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/o7js3u
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/v1mzty
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/x39ftz
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/6xaozr
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/fezf7g
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/g1lo9u
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/gx6txr
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/h5rnhn
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/ls5uf9
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/5gf4sr
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/5v2wx5
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/fbn7vj
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/gzpeiq
title: BBA_combination.tif

description: SICE NRT
DOI: 10.22008/fk2/uk14tp/kstjod
title: BBA_combination.tif

description: SICE NRT