cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25326/26
title: ELIFAN Cloud fraction - Sky Imager - SIRTA station - Native time resolution

description: Time series of L2A TSI 440 Sky Imager of the Palaiseau (91) station.
DOI: 10.25326/27
title: ELIFAN Cloud fraction - EKO Sky Imager - SIRTA station - Hourly means

description: Time series of L2A EKO Instruments SRF-02 All-Sky Camera Sky Imager of the Palaiseau (91) station.
DOI: 10.25326/28
title: ELIFAN Cloud fraction - EKO Sky Imager - SIRTA station - Native time resolution

description: Time series of L2A EKO Instruments SRF-02 All-Sky Camera Sky Imager of the Palaiseau (91) station.
DOI: 10.25326/30
title: ELIFAN Cloud fraction - CO-PDD station - L2A native time resolution

description: Time series of L2A Sky Imager of the Puy de Dome (63) station.
DOI: 10.5281/zenodo.5554850
title: DCNDS Project Dataset - P2P Botnet Detection Using Enhanced Peer Hunter

description: This dataset represents the Enhanced Peer Hunter implementation that was deployed on two NREN within the AsiaConnect project in Malaysia and Indonesia. Based on a 30 days measurement from Saturday, June 19, 2021 4:00:00 PM GMT - Monday, July 19, 2021 3:59:55 PM GMT, the list of detections and all flows associated with the detected machines are listed in the dataset (2 files per country). The dataset would allow any future p2p botnet detection mechanisms to leverage this (flow) data to train and evaluate their detection mechanisms. Take note that all IP addresses have been anonymized using a hash function with salt to avoid leakage of information.
DOI: 10.25721/gj31-hd42
title: I.3.011. "Pour le pèlerin de Notre-Dame de Rochefort (Gard)"
DOI: 10.25721/3vaf-sf48
title: I.3.009. "Manuel du pèlerin de Notre-Dame de Vauvert"
DOI: 10.25721/2yzm-5t65
title: I.3.007. "Pèlerinage de N-D de Rochefort"
DOI: 10.25721/sqwt-5243
title: I.3.006. "Notre-Dame de Vauvert"
DOI: 10.25721/8rzs-3930
title: I.3.005. "Musée d'art sacré du Gard", GIRARD Alain
DOI: 10.25721/x0a1-hb52
title: H.4.002. "Église Sainte-Thérèse de l'Enfant-Jésus Montpellier"
DOI: 10.25326/32
title: EKO Sky Imager - Pic du Midi station

description: Time series of L1A EKO Instruments SRF-02 All-Sky Camera Sky Imager of the Pic du Midi (65) station.
DOI: 10.25721/vxw9-p687
title: H.4.019. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25326/33
title: EKO Sky Imager - SIRTA station - Level 1

description: Time series of L1A EKO Instruments SRF-02 All-Sky Camera Sky Imager of the Palaiseau (91) station.
DOI: 10.25326/34
title: Sky Imager - SIRTA station - Level 1

description: Time series of L1A TSI 440 Sky Imager of the Palaiseau (91) station.
DOI: 10.25326/35
title: Sky Imager - CO-PDD station - L1A

description: Time series of L1A Sky Imager of the Puy de Dome (63) station.
DOI: 10.25326/38
title: Daily IASI/Metop-A ULB-LATMOS ozone (O3) L2 product (total column and vertical profile)
DOI: 10.25326/39
title: Daily IASI/Metop-B ULB-LATMOS ozone (O3) L2 product (total column and vertical profile)
DOI: 10.25326/40
title: Daily IASI/Metop-C ULB-LATMOS ozone (O3) L2 product (total column and vertical profile)
DOI: 10.25721/fb52-g728
title: H.4.015. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/32q9-x184
title: H.4.014. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25326/41
title: Daily IASI/Metop-A ULB-LATMOS sulphur dioxide (SO2) L2 product (columns and altitude)
DOI: 10.25326/44
title: Meteorological, soil data and surface turbulent fluxes - Meteopole station

description: Meteorological, soil data and surface turbulent fluxes - Meteopole station.
DOI: 10.25326/45
title: Wind data profiles using LIDAR measurements at the OHP

description: The wind data profiles were obtained by LIDAR at the OHP (Observatoire de Haute Provence) station belonging to NDACC (Network for Detection of Atmospheric Composition Change) network. It's a french activity from the Service d’Observation NDACC-France of CNRS (Centre National de la Recherche Scientifique)/INSU (Institut National des Sciences de l’Univers) coordinated nationally by OVSQ (Observatoire de l’université de Versailles).
DOI: 10.25326/46
title: MeteoFrance Lidar Network L1B - Aleria station

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Aleria station.
DOI: 10.25326/47
title: MeteoFrance Lidar Network L1B - Lille station

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Lille station.
DOI: 10.25326/48
title: MeteoFrance Lidar Network L1B - Toulouse station - LIDAR #5031

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Toulouse station, LIDAR # 5031.
DOI: 10.25326/49
title: MeteoFrance Lidar Network L1B - Toulouse station - LIDAR #5035

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Toulouse station, LIDAR # 5035.
DOI: 10.25326/50
title: MeteoFrance Lidar Network L1B - Trappes station

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Trappes station.
DOI: 10.25326/51
title: MeteoFrance Lidar Network L1B - Brest station

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Brest station.
DOI: 10.25326/52
title: MeteoFrance Lidar Network L1B - Momuy station

description: Level 1B data from the MeteoFrance MiniMPL LIDAR network - Momuy station.
DOI: 10.25346/s6/hy1dnt/njr07j
title: NARX_derived_bf.txt
DOI: 10.25346/s6/hy1dnt/4yaphe
title: NARX_bf_time.txt

description: The time for NARX_derived_bf
DOI: 10.25346/s6/hy1dnt/w54m3k
title: PSD_Cycle17_time.txt

description: The time stamps for Solar Cycle 17
DOI: 10.25346/s6/hy1dnt/xxmihi
title: PSD_Cycle23_05_MeV_85_PA.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 23. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/8sasmm
title: PSD_Cycle17_05_MeV_85_PA.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 17. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/fwq0eg
title: PSD_Cycle20_05_MeV_85_PA.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 20. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/kowczg
title: PSD_Cycle22_05_MeV_85_PA.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 22. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/svnf4f
title: PSD_Cycle24_05_MeV_85_PA.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 24. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/d3a2ly
title: PSD_Cycle20_time.txt

description: The time stamps for Solar Cycle 20
DOI: 10.25346/s6/hy1dnt/adu1fi
title: PSD_Cycle18_time.txt

description: The time stamps for Solar Cycle 18
DOI: 10.25346/s6/hy1dnt/uzbsuy
title: PSD_Cycle21_05_MeV_85_PA.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 21. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/fz62dk
title: PSD_Cycle24_time.txt

description: The time stamps for Solar Cycle 24
DOI: 10.25346/s6/hy1dnt/1fzp8a
title: PSD_Cycle22_time.txt

description: The time stamps for Solar Cycle 22
DOI: 10.25346/s6/hy1dnt/sl8pyg
title: PSD_Cycle23_time.txt

description: The time stamps for Solar Cycle 23
DOI: 10.25346/s6/hy1dnt/goucbg
title: PSD_Cycle19_time.txt

description: The time stamps for Solar Cycle 19
DOI: 10.25346/s6/hy1dnt/lcxhjo
title: PSD_Cycle21_time.txt

description: The time stamps for Solar Cycle 21
DOI: 10.25346/s6/hy1dnt/mf42sx
title: PSD_Cycle24_2_MeV_85_PA.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 24. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/rgzkdn
title: PSD_Cycle23_2_MeV_85_PA.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 23. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/zftjix
title: PSD_Cycle22_1_MeV_85_PA.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 22. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/4477kt
title: PSD_Cycle24_1_MeV_85_PA.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 24. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/et3ayq
title: PSD_Cycle21_1_MeV_85_PA.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 21. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/xtmva3
title: PSD_Cycle21_2_MeV_85_PA.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 21. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/9b3yvg
title: PSD_Cycle22_2_MeV_85_PA.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 22. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/yozhs2
title: PSD_Cycle20_1_MeV_85_PA.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 20. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/ohmwbz
title: PSD_Cycle17_2_MeV_85_PA.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 17. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/zouqqg
title: PSD_Cycle17_1_MeV_85_PA.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 17. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/ivtqrs
title: PSD_Cycle23_1_MeV_85_PA.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 23. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/thnfqn
title: PSD_Cycle20_2_MeV_85_PA.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 20. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/dbcre5
title: PSD_Cycle19_2_MeV_85_PA-1.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 19. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/n2rfjd
title: PSD_Cycle19_1_MeV_85_PA-1.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 19. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/t6ckbc
title: PSD_Cycle18_05_MeV_85_PA-1.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 18. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/gjwf5b
title: PSD_Cycle18_2_MeV_85_PA-1.txt

description: The PSD for the 2 MeV 85 degree pitch angle electrons during Solar Cycle 18. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/kbqywl
title: PSD_Cycle18_1_MeV_85_PA-1.txt

description: The PSD for the 1 MeV 85 degree pitch angle electrons during Solar Cycle 18. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/qhnvy0
title: PSD_Cycle19_05_MeV_85_PA-1.txt

description: The PSD for the 0.5 MeV 85 degree pitch angle electrons during Solar Cycle 19. The data is oriented as a time (specific to the solar cycle) by Lshell array (29, see Lshell ascii file).
DOI: 10.25346/s6/hy1dnt/1nlmpw
title: Code_files_MP_centeredDip__LCDS_T89.txt

description: File for determining the Last Closed Drift Shell as a function of Kp, PA, and Lstar. The file is organized as: Kp, PA, Lstar, and the invariant K.
DOI: 10.25346/s6/hy1dnt/qdhzal
title: New_LStar.txt

description: The Lstar shell array used for the PSD files.
DOI: 10.25346/s6/hy1dnt/1fm4he
title: kp_all.mat

description: Historical Kp (1932 - 2018)
DOI: 10.25346/s6/hy1dnt
title: Data_derived_from_VERB_code_reconstruction_of_Radiation_Belts_Solar_Cycle_17-24

description: NARX_derived_bf- This is the NARX derived bf file that is used for the upper boundary condition in the VERB code simulation. NARX_bf_time-The corresponding time is found for NARX_derived_bf. PSD_CycleX_Y_MeV_85_PA-The PSD for Solar Cycle X and energy Y for the 85 degree pitch angle electrons. PSD_CycleX_time-The corresponding time stamps for that respective Solar Cycle X.
DOI: 10.25326/63
title: Daily IASI/Metop-A ULB-LATMOS carbon monoxide (CO) L2 product (vertical profile and total column – EUMETSAT processing)

description: The daily IASI/Metop-A carbon monoxide (CO) dataset is processed by EUMETSAT Application Ground Segment using the Fast Optimal Retrievals on Layers for IASI (FORLI) software (Hurtmans et al., 2012) in the AC SAF framework.The IASI CO retrievals are performed in the 2143-2181.25 cm-1 spectral range using the optimal estimation method and tabulated absorption cross sections at various pressures and temperatures to speed up the radiative transfer calculation. A single a priori is used in the retrieval scheme. The temperature, pressure, humidity profiles and cloud fractions used in FORLI are those from the EUMETSAT Level 2 processor. Only pixels associated with cloud fraction below 25 % are processed. The IASI CO product is a vertical profile given as partial columns in moles per square meter in 18 layers between the surface and 18 km, with an extra layer from 18 km to the top of the atmosphere. The pressure levels associated with retrieval layers are provided with the CO product. This IASI CO dataset also includes other relevant information such as a general quality flag, the a priori profile, the total error profile, the air partial column profile, and the averaging kernel (AK) matrix, on the same vertical grid, and the total column and the total error associated.
DOI: 10.25326/64
title: Daily IASI/Metop-B ULB-LATMOS carbon monoxide (CO) L2 product (vertical profile and total column – EUMETSAT processing)

description: The daily IASI/Metop-B carbon monoxide (CO) dataset is processed by EUMETSAT Application Ground Segment using the Fast Optimal Retrievals on Layers for IASI (FORLI) software (Hurtmans et al., 2012) in the AC SAF framework.The IASI CO retrievals are performed in the 2143-2181.25 cm-1 spectral range using the optimal estimation method and tabulated absorption cross sections at various pressures and temperatures to speed up the radiative transfer calculation. A single a priori is used in the retrieval scheme. The temperature, pressure, humidity profiles and cloud fractions used in FORLI are those from the EUMETSAT Level 2 processor. Only pixels associated with cloud fraction below 25 % are processed. The IASI CO product is a vertical profile given as partial columns in moles per square meter in 18 layers between the surface and 18 km, with an extra layer from 18 km to the top of the atmosphere. The pressure levels associated with retrieval layers are provided with the CO product. This IASI CO dataset also includes other relevant information such as a general quality flag, the a priori profile, the total error profile, the air partial column profile, and the averaging kernel (AK) matrix, on the same vertical grid, and the total column and the total error associated.
DOI: 10.25326/65
title: Daily IASI/Metop-C ULB-LATMOS carbon monoxide (CO) L2 product (vertical profile and total column – EUMETSAT processing)

description: The daily IASI/Metop-C carbon monoxide (CO) dataset is processed by EUMETSAT Application Ground Segment using the Fast Optimal Retrievals on Layers for IASI (FORLI) software (Hurtmans et al., 2012) in the AC SAF framework.The IASI CO retrievals are performed in the 2143-2181.25 cm-1 spectral range using the optimal estimation method and tabulated absorption cross sections at various pressures and temperatures to speed up the radiative transfer calculation. A single a priori is used in the retrieval scheme. The temperature, pressure, humidity profiles and cloud fractions used in FORLI are those from the EUMETSAT Level 2 processor. Only pixels associated with cloud fraction below 25 % are processed. The IASI CO product is a vertical profile given as partial columns in moles per square meter in 18 layers between the surface and 18 km, with an extra layer from 18 km to the top of the atmosphere. The pressure levels associated with retrieval layers are provided with the CO product. This IASI CO dataset also includes other relevant information such as a general quality flag, the a priori profile, the total error profile, the air partial column profile, and the averaging kernel (AK) matrix, on the same vertical grid, and the total column and the total error associated.
DOI: 10.25721/da47-c545
title: H.4.013. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25326/66
title: Daily IASI/Metop-C ULB-LATMOS formic acid (HCOOH) L2 product (total column)

description: The IASI/Metop-C daily formic acid (HCOOH) total column dataset, described in Pommier et al. (2016), relies on a fast approach based on conversion factors between brightness temperature differences and representative retrieved total columns over seven regions: Northern Africa, southern Africa, Amazonia, Atlantic, Australia, Pacific, and Russia. The dependence of the measured HCOOH signal on the thermal contrast is taken into account in the conversion method. The dataset is available on a global scale from September 2019 till present.
DOI: 10.25721/rj7z-fs64
title: H.4.012. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/j4zc-xa57
title: H.4.011. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/vnwq-8s26
title: H.4.010. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.6084/m9.figshare.16578569
title: Emerging sensor platforms allow for seagrass extent mapping in a turbid estuary and from the meadow to ecosystem scale

description: Seagrass meadows are globally important habitats, protecting shorelines, providing nursery areas for fish, and sequestering carbon. However, both anthropogenic and natural environmental stressors have led to a worldwide reduction of seagrass habitats. For purposes of management and restoration, it is essential to produce accurate maps of seagrass meadows over a variety of spatial scales, resolutions, and at temporal frequencies ranging from months to years. Satellite remote sensing has been successfully employed to produce maps of seagrass in the past, but turbid waters and difficulty in obtaining low-tide scenes pose persistent challenges. This study builds on an increased availability of affordable high temporal frequency imaging platforms, using seasonal unmanned aerial vehicle (UAV) surveys of seagrass extent on the meadow scale, to inform machine learning classifications of satellite imagery of a 40 km<sup>2</sup> bay. We find that object-based image analysis is suitable to detect seasonal trends in seagrass extent from UAV imagery and find that trends vary between individual meadows at our study site Bahía de San Quintín, Baja California, México, during our study period in 2019. We further suggest that compositing multiple satellite imagery classifications into a seagrass probability map allows for an estimation of seagrass extent in turbid waters and report that in 2019, seagrass covered 2324 ha of Bahía de San Quintín, indicating a recovery from losses reported for previous decades.
DOI: 10.6084/m9.figshare.16578569.v1
title: Emerging sensor platforms allow for seagrass extent mapping in a turbid estuary and from the meadow to ecosystem scale

description: Seagrass meadows are globally important habitats, protecting shorelines, providing nursery areas for fish, and sequestering carbon. However, both anthropogenic and natural environmental stressors have led to a worldwide reduction of seagrass habitats. For purposes of management and restoration, it is essential to produce accurate maps of seagrass meadows over a variety of spatial scales, resolutions, and at temporal frequencies ranging from months to years. Satellite remote sensing has been successfully employed to produce maps of seagrass in the past, but turbid waters and difficulty in obtaining low-tide scenes pose persistent challenges. This study builds on an increased availability of affordable high temporal frequency imaging platforms, using seasonal unmanned aerial vehicle (UAV) surveys of seagrass extent on the meadow scale, to inform machine learning classifications of satellite imagery of a 40 km<sup>2</sup> bay. We find that object-based image analysis is suitable to detect seasonal trends in seagrass extent from UAV imagery and find that trends vary between individual meadows at our study site Bahía de San Quintín, Baja California, México, during our study period in 2019. We further suggest that compositing multiple satellite imagery classifications into a seagrass probability map allows for an estimation of seagrass extent in turbid waters and report that in 2019, seagrass covered 2324 ha of Bahía de San Quintín, indicating a recovery from losses reported for previous decades.
DOI: 10.25721/2dvc-1g22
title: H.4.009. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/hj3t-v412
title: H.4.008. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/5dgm-s647
title: H.4.007. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/2aq3-8z19
title: H.4.006. "Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.25721/v6nv-3019
title: H.4.005. "L'Echo de Notre-Dame du Suc", BASCOUL Noël (dir)
DOI: 10.6084/m9.figshare.16764367
title: Acanthochlamys bracteata.zip

description: The files attached are chromosomal-level genome (fasta), annotation result (gff3) and population SNP information (vcf).<br>
DOI: 10.5281/zenodo.5482551
title: Dvoice : An open source dataset for Automatic Speech Recognition on Moroccan dialectal Arabic

description: Dialectal Voice is a community project initiated by AIOX Labs to facilitate voice recognition by Intelligent Systems. Today, the need for AI systems capable of recognizing the human voice is increasingly expressed within communities. However, we note that for some languages such as Darija, there are not enough voice technology solutions. To meet this need, we then proposed to establish this program of iterative and interactive construction of a dialectal database open to all in order to help improve models of voice recognition and generation.
DOI: 10.25721/rmy2-3211
title: H.4.004. "Notre-Dame des Grâces Gignac. Historique du pèlerinage"
DOI: 10.25721/jb7m-8549
title: H.4.003. "Notice sur Notre-Dame des Trésors (dite de Trédos)"
DOI: 10.25721/t262-f621
title: G.3.002. "La cathédrale de Metz", DE PANGE Jean, collection Bibliothèque catholique illustrée
DOI: 10.25721/y59s-zg02
title: G.3.003. "Koenigsmacker. Histoire paroissiale", SCHNEIDER Albert