cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18857399.v1
title: Supplementary Material for: SELENOT deficiency in the mouse brain impacts catecholaminergic neuron density: an immunohistochemical, in situ hybridization and 3D light-sheet imaging study

description: Background: Selenoprotein T (SELENOT), a PACAP-regulated thioredoxin-like protein, plays a role in catecholamine secretion and protects dopaminergic neurons. However, the role of SELENOT in the establishment of the catecholaminergic (CA) neuronal system is not known yet. Methods: We analyzed by immunohistochemistry and RNAscope in situ hybridization the distribution of SELENOT and the expression of its mRNA, respectively. In addition, 3D imaging involving immunostaining in toto, clearing through the iDISCO+ method, acquisitions by light sheet microscopy and processing of 3D images was performed to map the CA neuronal system. A semi-automatic quantification of 3D images was carried out. Results: SELENOT protein and mRNA are widely distributed in the mouse brain, with important local variations. Three-dimensional mapping, through tyrosine hydroxylase (TH) labeling, and semi-automated quantification of CA neurons in brain-specific SELENOT knockout mice showed a significant decrease in the number of TH-positive neurons in the area postrema (AP-A2), the A11 cell group (A11) and the zona incerta (ZI-A13) of SELENOT-deficient females, and in the hypothalamus (Hyp-A12-A14-A15) of SELENOT-deficient females and males. Conclusion: These results showed that SELENOT is diffusely expressed in the mouse brain and that its deficiency impacts CA neuron distribution in different brain areas including Hyp-A12-A14-A15, in both male and female mice.
DOI: 10.48370/ofd/it5c9t
title: Lactarius necator (J. F. Gmel.: Fr.) Pers., 1813

description: Fungarium Macromycetes
DOI: 10.48370/ofd/pukte4/4jamzt
title: Zieliński Jacek.pdf

description: :unav
DOI: 10.48370/ofd/pukte4
title: Weryfikacja i stan zdrowotny drzew – pomników przyrody na terenie powiatu bielskiego (woj. podlaskie)

description: Promotor: Joanna Pietrzak-Zawadka
DOI: 10.34820/fk2/06lqej/vdlkag
title: economies-10-00056.pdf

description: :unav
DOI: 10.34820/fk2/06lqej
title: Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives

description: In 2008, the Lehman Brothers’ bankruptcy, accumulated from the global financial crisis, proved a unique role of the highly interconnected financial entities. Shocks in a bank might trigger loss, induce spillovers, provoke a contagion shock spreading to other entities, trigger the whole banking system to collapse, and ultimately unsettle the worldwide economy. Therefore, evaluating financial stability through a system-wide network approach provides more adequate knowledge than evaluating a bank as an individual. In this approach, individual banks and their transaction activities are modeled into a transaction network, forming a network topology. Financial shocks are generally detected through various macro procedures, such as outstanding external debt and uncontrolled transaction deficits. This study proposes financial shock detection from a macro and micro perspective by exploring the effect of disruption on transaction network structure. We investigate the most changing triadic motif as a crisis predictor from a micro perspective due to the crisis period. The case study is the transaction network structural shift under the 2008 crisis in Indonesia, where the observations were performed from the pre-crisis to the post-crisis period. We discovered a motif with the significant changes as the underlying financial crisis predictor. This scenario provides support for the financial system’s stability control
DOI: 10.14284/554
title: Electrical resistivity tomography and continuous resistivity profiling in front of De Panne and Koksijde

description: Land and marine resistivity measurement from De Panne and Koksijde, complemented with synthetic models.
description: The combination of two geophysical techniques is used to assess the fresh- and salt water distribution in the phreatic aquifer. It enable to locate zone of saltwater intrusion and fresh submarine groundwater discharge. It allows to evaluate the impact of the Aquaduin on freshwater outflow to the North Sea. The synthetic models are needed are to assess the ability to quantitatively inte rpret the inversion of the resistivity data. The data was collected in the framework of the PhD research of Marieke Paepen, Laboratory of Applied Geology and Hydrogeology (UGent). Logistical support was provided by VLIZ for the marine surveys.
DOI: 10.5281/zenodo.4741178
title: Observed Annual Maximum Sub-Daily Precipitation from the Belgian Hydro-Meteorological Network (1967-2004) and Uccle (1898-2007)

description: We present annual maximum precipitation data from <em>10-min pluviograph stations</em> of the Royal Meteorological Institute of Belgium. This includes the 110-year time series (1898-2007) of Uccle, Brussels (Demarée, 2003), and 17 other pluviograph series, but for a much shorter period (1967-2004). Some of these series display long periods with missing data, whereas the Uccle series is complete. All the series were recorded with a Hellmann-Fuess pluviograph. We constructed annual maximum <em>d</em>-hourly precipitation for rainfall durations <em>d =</em> 10min, 20min, 30min, 1h, 2h, 3h, 6h, 12h, 24h, 48h, and 72h. The annual maximum data was analysed in Vannitsem & Naveau (2007), Van de Vyver (2012; 2015a,b; 2018), and in Van de Vyver <em>et al.</em> (2021). The files include: "AM.PP.BELGIUM.RData": for each of the 18 stations, the annual maximum rainfall depths (mm) are listed in a matrix (rows: year, columns: rainfall duration). The data is also accompanied by the geographic coordinates (longitude/latitude/altitude). "MAP.STATIONS.pdf": elevation map (m) of Belgium, together with the location of the 10-min pluviograph stations. "INFO.STATIONS.pdf": table with the geographic coordinates (longitude/latitude/altitude). <strong>References</strong> Demarée, G. R., 2003: Le pluviographe centenaire du plateau d'Uccle: son histoire, ses données et ses applications. <em>La Houille Blanche</em>, <strong>4</strong>, 1-8. Vannitsem, S., and P. Naveau, 2007: Spatial dependences among precipitation maxima over Belgium. <em>Nonlin. Processes Geophys.</em>, <strong>14 (5)</strong>, 621-630, doi:10.5194/npg-14-621-2007. Van de Vyver, H., 2012: Spatial regression models for extreme precipitation in Belgium. <em>Water Resour. Res.</em>, <strong>48 (9)</strong>, W09549, doi:10.1029/2011WR011707. Van de Vyver, H., 2015a: On the estimation of continuous 24-h precipitation maxima. <em>Stoch. Environ. Res. Risk. Assess.</em>, <strong>29 (3)</strong>, 653-663, doi:10.1007/s00477-014-0912-5. Van de Vyver, H., 2015b: Bayesian estimation of rainfall intensity-duration-frequency relationships. <em>J. Hydrol.</em>, <strong>529 (3)</strong>, 1451-1463, doi:10.1016/j.jhydrol.2015.08.036. Van de Vyver, H., 2018: A multiscaling-based intensity-duration-frequency model for extreme precipitation.<em> Hydrol. Process.</em>, <strong>32 (11)</strong>, 1635-1647, doi:10.1002/hyp.11516. Van de Vyver, H., B. Van Schaeybroeck, R. De Troch, L. De Cruz, R. Hamdi, C. Villanueva-Birriel, P. Marbaix, J.-P. van Ypersele, H. Wouters, S. Vanden Broucke, N.P.M. van Lipzig, S. Doutreloup, C. Wyard, C. Scholzen, X. Fettweis, S. Caluwaerts and P. Termonia, 2021: Evaluation framework for sub-daily rainfall extremes simulated by regional climate models. <em>J. Appl. Meteorol. Climatol.</em>, <strong>60 (10)</strong>, 1423-1442, doi: 10.1175/JAMC-D-21-0004.1.
DOI: 10.5281/zenodo.4741177
title: Observed Annual Maximum Sub-Daily Precipitation from the Belgian Hydro-Meteorological Network (1967-2004) and Uccle (1898-2007)

description: We present annual maximum precipitation data from <em>10-min pluviograph stations</em> of the Royal Meteorological Institute of Belgium. This includes the 110-year time series (1898-2007) of Uccle, Brussels (Demarée, 2003), and 17 other pluviograph series, but for a much shorter period (1967-2004). Some of these series display long periods with missing data, whereas the Uccle series is complete. All the series were recorded with a Hellmann-Fuess pluviograph. We constructed annual maximum <em>d</em>-hourly precipitation for rainfall durations <em>d =</em> 10min, 20min, 30min, 1h, 2h, 3h, 6h, 12h, 24h, 48h, and 72h. The annual maximum data was analysed in Vannitsem & Naveau (2007), Van de Vyver (2012; 2015a,b; 2018), and in Van de Vyver <em>et al.</em> (2021). The files include: "AM.PP.BELGIUM.RData": for each of the 18 stations, the annual maximum rainfall depths (mm) are listed in a matrix (rows: year, columns: rainfall duration). The data is also accompanied by the geographic coordinates (longitude/latitude/altitude). "MAP.STATIONS.pdf": elevation map (m) of Belgium, together with the location of the 10-min pluviograph stations. "INFO.STATIONS.pdf": table with the geographic coordinates (longitude/latitude/altitude). <strong>References</strong> Demarée, G. R., 2003: Le pluviographe centenaire du plateau d'Uccle: son histoire, ses données et ses applications. <em>La Houille Blanche</em>, <strong>4</strong>, 1-8. Vannitsem, S., and P. Naveau, 2007: Spatial dependences among precipitation maxima over Belgium. <em>Nonlin. Processes Geophys.</em>, <strong>14 (5)</strong>, 621-630, doi:10.5194/npg-14-621-2007. Van de Vyver, H., 2012: Spatial regression models for extreme precipitation in Belgium. <em>Water Resour. Res.</em>, <strong>48 (9)</strong>, W09549, doi:10.1029/2011WR011707. Van de Vyver, H., 2015a: On the estimation of continuous 24-h precipitation maxima. <em>Stoch. Environ. Res. Risk. Assess.</em>, <strong>29 (3)</strong>, 653-663, doi:10.1007/s00477-014-0912-5. Van de Vyver, H., 2015b: Bayesian estimation of rainfall intensity-duration-frequency relationships. <em>J. Hydrol.</em>, <strong>529 (3)</strong>, 1451-1463, doi:10.1016/j.jhydrol.2015.08.036. Van de Vyver, H., 2018: A multiscaling-based intensity-duration-frequency model for extreme precipitation.<em> Hydrol. Process.</em>, <strong>32 (11)</strong>, 1635-1647, doi:10.1002/hyp.11516. Van de Vyver, H., B. Van Schaeybroeck, R. De Troch, L. De Cruz, R. Hamdi, C. Villanueva-Birriel, P. Marbaix, J.-P. van Ypersele, H. Wouters, S. Vanden Broucke, N.P.M. van Lipzig, S. Doutreloup, C. Wyard, C. Scholzen, X. Fettweis, S. Caluwaerts and P. Termonia, 2021: Evaluation framework for sub-daily rainfall extremes simulated by regional climate models. <em>J. Appl. Meteorol. Climatol.</em>, <strong>60 (10)</strong>, 1423-1442, doi: 10.1175/JAMC-D-21-0004.1.
DOI: 10.5281/zenodo.6327151
title: Twitter dataset of flood-related images for September 2021, Thailand and June/July 2021, Nepal floods

description: Twitter dataset related to flood events onsets in Thailand and Nepal, focused on September 26/27, 2022, June 16/17 2021 and July 01/02 2021. The dataset has been processed with a VisualCit pipeline in order to automatically filter a relevant subset of posts through automated image analysis, using deep learning techniques. The posts were then geolocated using the CIME algorithm. Additional information about the data collection and data processing are described in http://arxiv.org/abs/2202.12014
description: {"references": ["TriggerCit: Early Flood Alerting using Twitter and Geolocation - a comparison with alternative sources https://arxiv.org/abs/2202.12014"]}
DOI: 10.5281/zenodo.6327150
title: Twitter dataset of flood-related images for September 2021, Thailand and June/July 2021, Nepal floods

description: Twitter dataset related to flood events onsets in Thailand and Nepal, focused on September 26/27, 2022, June 16/17 2021 and July 01/02 2021. The dataset has been processed with a VisualCit pipeline in order to automatically filter a relevant subset of posts through automated image analysis, using deep learning techniques. The posts were then geolocated using the CIME algorithm. Additional information about the data collection and data processing are described in http://arxiv.org/abs/2202.12014
description: {"references": ["TriggerCit: Early Flood Alerting using Twitter and Geolocation - a comparison with alternative sources https://arxiv.org/abs/2202.12014"]}
DOI: 10.25747/mfw8-9076
title: Daily profiles (2020) of load of a electricity distribution network (25 nodes) from Croatia – ATTEST project
DOI: 10.5281/zenodo.5016294
title: 4DMRI moving lung meshes

description: <strong>Moving lung meshes extracted from 4DMRIs</strong> The newest version of the dataset and the documentation can be found on https://gitlab.psi.ch/duetschler_a/4DMRI_moving_lung_meshes. The moving lung meshes can for example be used to generate synthetic 4DCT(MRI)s. The code for generating 4DCT(MRI)s using a reference CT and the moving lung mesh data can be found on https://gitlab.psi.ch/duetschler_a/4DCT-MRI. Please cite the following publication when using the data: Duetschler, A., Bauman, G., Bieri, O., Cattin, P.C., Ehrbar, S., Engin-Deniz, G., Giger, A., Josipovic, M., Jud, C., Krieger, M., Nguyen, D., Persson, G.F., Salomir, R., Weber, D.C., Lomax, A.J. and Zhang, Y. (2022), <em>Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations.</em> Med. Phys.. https://doi.org/10.1002/mp.15591
description: This project is funded by Krebsliga Schweiz (KFS-4517-08-2018) and the Swiss National Science Foundation, SNSF (project number 320030 163330/1).
DOI: 10.5281/zenodo.5016293
title: 4DMRI moving lung meshes

description: <strong>Moving lung meshes extracted from 4DMRIs</strong> The newest version of the dataset and the documentation can be found on https://gitlab.psi.ch/duetschler_a/4DMRI_moving_lung_meshes. The moving lung meshes can for example be used to generate synthetic 4DCT(MRI)s. The code for generating 4DCT(MRI)s using a reference CT and the moving lung mesh data can be found on https://gitlab.psi.ch/duetschler_a/4DCT-MRI. Please cite the following publication when using the data: Duetschler, A., Bauman, G., Bieri, O., Cattin, P.C., Ehrbar, S., Engin-Deniz, G., Giger, A., Josipovic, M., Jud, C., Krieger, M., Nguyen, D., Persson, G.F., Salomir, R., Weber, D.C., Lomax, A.J. and Zhang, Y. (2022), <em>Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations.</em> Med. Phys.. https://doi.org/10.1002/mp.15591
description: This project is funded by Krebsliga Schweiz (KFS-4517-08-2018) and the Swiss National Science Foundation, SNSF (project number 320030 163330/1).
DOI: 10.48370/ofd/qe2zb3
title: Lactarius obscuratus (Lasch: Fr) Fr., 1820

description: Fungarium Macromycetes
DOI: 10.24400/802406/kqww-28qd
title: CLU3 WHISPER natural wave power spectrum

description: This dataset contains naturally occurring electric field power spectral density obtained when WHISPER sounder is in passive on Cluster 3. The data file also includes : the number of frequency bins of the Fast Fourier Transform, the receiving antenna used, Ey or Ez (respectively expression TBD in body build coordinates), the centre frequencies of the 512 bins in the frequency range 1.953 to 79.915 kHz (in the metadata), a flag, normally 0 (default value), which is set to to 1 (saturation) when there is an overflow somewhere in the spectrum, the number of spectra which have been averaged, the number of gain changes during the acquisition, the two-digit mantissa and two-digit exponent of integer generated by the compression algorithm.
DOI: 10.48370/ofd/ypl5kz/6wnp6h
title: Masłowski Krzysztof.pdf

description: :unav
DOI: 10.48370/ofd/ypl5kz
title: Rozmieszczenie miejsc aktualnego bytowania bobrów i wycena siedlisk potencjalnych tego gatunku w przyrodniczo cennym Obszarze Natura 2000 ,,Puszcz Białowieska,, na przykładzie rzeki Hwoźna

description: Promotor: Simona Kossak
DOI: 10.48370/ofd/sotikq
title: Caenocara bovistae (Hoffmann, 1803), C-507

description: Coleoptera collection
DOI: 10.48579/pro/65zp6a
title: triglidae liste from mnhn fish collection

description: List of the triglidae specimen store in the MNHN fish collection from the GICIM database used for revision about the genus Pterygotrigla and a check list of the genus Lepidotrigla. Request Colhleper: 166973, the 2022-03-01
DOI: 10.48370/ofd/bw5opn/zequqo
title: Zrajkowska Dorota.pdf

description: :unav
DOI: 10.48370/ofd/bw5opn
title: Występowanie roślin leczniczych na terenie otuliny Puszczy Białowieskiej w okolicy m. Orzeszkowo.

description: Promotor: Halina Chomutowska
DOI: 10.24400/802406/dk8e-0snw
title: CLU3 WHISPER Caveats

description: This dataset contains data quality caveats on Cluster 3, including time periods affected by saturations and interferences
DOI: 10.48370/ofd/8wd728
title: Mesocoelopus niger (Müller P.W.J., 1821), C-508

description: Coleoptera collection
DOI: 10.48370/ofd/py59fg/ogbkxw
title: Zubowicz Patryk.pdf

description: :unav
DOI: 10.48370/ofd/py59fg
title: Zmiany składu gatunkowego drzewostanów w lesie świeżym w Puszczy Białowieskiej na przykładzie stałych powierzchni badawczych

description: Promotor: Rafał Paluch
DOI: 10.6084/m9.figshare.19307366
title: Pharmacist knowledge of gout management: impact of an educational intervention Dataset

description: Dataset related to original research published in BMC Rheumatology. Dorris et al, 2022 <br>Title: Pharmacist knowledge of gout management: impact of an educational intervention<br>Authors: Emma R. Dorris, PhD, Mariosa Kieran, MPSI, MSc, Nicola Dalbeth, MD, FRACP and Geraldine McCarthy, MD, FRCPI
DOI: 10.6084/m9.figshare.19307366.v2
title: Pharmacist knowledge of gout management: impact of an educational intervention Dataset

description: Dataset related to original research published in BMC Rheumatology. Dorris et al, 2022 <br>Title: Pharmacist knowledge of gout management: impact of an educational intervention<br>Authors: Emma R. Dorris, PhD, Mariosa Kieran, MPSI, MSc, Nicola Dalbeth, MD, FRACP and Geraldine McCarthy, MD, FRCPI
DOI: 10.6084/m9.figshare.19307366.v1
title: Untitled Item

description: Dataset related to original research published in BMC Rheumatology. Dorris et al, 2022 <br>Title: Pharmacist knowledge of gout management: impact of an educational intervention<br>Authors: Emma R. Dorris, PhD, Mariosa Kieran, MPSI, MSc, Nicola Dalbeth, MD, FRACP and Geraldine McCarthy, MD, FRCPI
DOI: 10.24400/802406/m904-tvcy
title: CLU3 WHISPER Electron Density

description: This dataset contains plasma frequencies from Whisper on spacecraft Cluster-3.
DOI: 10.21954/ou.rd.16616680
title: Mars Global Climate Model output masked to UVIS aerosol opacity profiles, Mars Year 34-35

description: This dataset contains ~1.5 martian years (MY) worth of output from the Open University Mars Global Climate Model (MGCM), masked to match the times and locations of opacity profiles from the UVIS spectrometer, part of the NOMAD spectrometer suite aboard the ExoMars Trace Gas Orbiter (TGO). The dataset covers Ls ~163 of MY 34 through to the end of MY 35, and contains MGCM dust and water ice visible opacities, temperatures, and approximate hygropause altitude (defined as ~70 ppmv). Please refer to the linked datasets below for the UVIS opacity profiles themselves ("NOMAD-UVIS ozone vertical profile retrievals for Mars Year 34-35"), and for more detail on the MGCM and experimental setup ("OpenMARS database"). The MGCM settings used are identical to those used for OpenMARS, with the exception of the vertical levels (35 levels in OpenMARS, 70 levels for this run).<br><br>Metadata (Ls, Lat, Lon, LST, Altitude) are taken from the UVIS opacity profiles and model fields (dust_opac, ice_opac, temp, hygropause_approx) are taken from the nearest MGCM time/spatial/altitude point to the UVIS data.<br><br>Dataset fields:Ls (solar longitude)Lat (latitude)Lon (east longitude)LST (local solar time)Altitude (altitude above the surface / km)dust_opac (dust opacity in the visible)ice_opac (water ice opacity in the visible)<br>temperature (atmospheric temperature / K)<br>hygropause_approx (1 if water vapour content is between 65-75 ppmv; 0 otherwise)<br>
DOI: 10.21954/ou.rd.16616680.v2
title: Mars Global Climate Model output masked to UVIS aerosol opacity profiles, Mars Year 34-35

description: This dataset contains ~1.5 martian years (MY) worth of output from the Open University Mars Global Climate Model (MGCM), masked to match the times and locations of opacity profiles from the UVIS spectrometer, part of the NOMAD spectrometer suite aboard the ExoMars Trace Gas Orbiter (TGO). The dataset covers Ls ~163 of MY 34 through to the end of MY 35, and contains MGCM dust and water ice visible opacities, temperatures, and approximate hygropause altitude (defined as ~70 ppmv). Please refer to the linked datasets below for the UVIS opacity profiles themselves ("NOMAD-UVIS ozone vertical profile retrievals for Mars Year 34-35"), and for more detail on the MGCM and experimental setup ("OpenMARS database"). The MGCM settings used are identical to those used for OpenMARS, with the exception of the vertical levels (35 levels in OpenMARS, 70 levels for this run).<br><br>Metadata (Ls, Lat, Lon, LST, Altitude) are taken from the UVIS opacity profiles and model fields (dust_opac, ice_opac, temp, hygropause_approx) are taken from the nearest MGCM time/spatial/altitude point to the UVIS data.<br><br>Dataset fields:Ls (solar longitude)Lat (latitude)Lon (east longitude)LST (local solar time)Altitude (altitude above the surface / km)dust_opac (dust opacity in the visible)ice_opac (water ice opacity in the visible)<br>temperature (atmospheric temperature / K)<br>hygropause_approx (1 if water vapour content is between 65-75 ppmv; 0 otherwise)<br>
DOI: 10.21954/ou.rd.16616680.v1
title: Mars Global Climate Model output masked to UVIS aerosol opacity profiles, Mars Year 34-35

description: This dataset contains ~1.5 martian years (MY) worth of output from the Open University Mars Global Climate Model (MGCM), masked to match the times and locations of opacity profiles from the UVIS spectrometer, part of the NOMAD spectrometer suite aboard the ExoMars Trace Gas Orbiter (TGO). The dataset covers Ls ~163 of MY 34 through to the end of MY 35, and contains MGCM dust and water ice visible opacities, temperatures, and approximate hygropause altitude (defined as ~70 ppmv). Please refer to the linked datasets below for the UVIS opacity profiles themselves ("NOMAD-UVIS ozone vertical profile retrievals for Mars Year 34-35"), and for more detail on the MGCM and experimental setup ("OpenMARS database"). The MGCM settings used are identical to those used for OpenMARS, with the exception of the vertical levels (35 levels in OpenMARS, 70 levels for this run).<br><br>Metadata (Ls, Lat, Lon, LST, Altitude) are taken from the UVIS opacity profiles and model fields (dust_opac, ice_opac, temp, hygropause_approx) are taken from the nearest MGCM time/spatial/altitude point to the UVIS data.<br><br>Dataset fields:Ls (solar longitude)Lat (latitude)Lon (east longitude)LST (local solar time)Altitude (altitude above the surface / km)dust_opac (dust opacity in the visible)ice_opac (water ice opacity in the visible)<br>temperature (atmospheric temperature / K)<br>hygropause_approx (1 if water vapour content is between 65-75 ppmv; 0 otherwise)<br>
DOI: 10.24400/802406/018j-ygwj
title: Cluster 3 CIS-HIA 3D Ion Distrib. HS, Magnetospheric Mode, Phase Space Density

description: This dataset contains 3D Ion distributions (particle phase space density) from the CIS-HIA instrument on the Cluster C3 spacecraft in High-Sensitivity Magnetospheric mode
DOI: 10.24400/802406/5v7g-r3r5
title: Cluster 3 CIS-CODIF 3D Proton Distrib. HS, Particle Flux

description: This dataset contains 3D Proton distributions (differential particle flux) from the CIS-CODIF instrument on the Cluster C3 spacecraft in High-Sensitivity
DOI: 10.24400/802406/r60f-6cw5
title: Cluster 3 CIS-HIA Ion Pitch-Angle Distribution (High-Sensitivity)

description: Distribution (differential particle flux), for spacecraft C3 for the High-sensitivity side. Data are computed from CIS 3D distributions and FGM data.