cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ps3vg
title: CCDC 2495836: Experimental Crystal Structure Determination

description: Related Article: Koya M. Hori, Yoshifumi Toyama, Takato Mori, Takumu Nakamura, Yohei Ono, Hideto Ito|2026|RSC Mechanochemistry|||doi:10.1039/d5mr00145e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pwb75
title: CCDC 2498917: Experimental Crystal Structure Determination

description: Related Article: Wen-Ji He, Shili Fang, Shenghua Yang, Nana Kim, Zhipeng Lu, Camille Z. Rubel, Jake Bailey, Milan Gembicky, Song Lin, Steven R. Wisniewski, Keary M. Engle|2026|Organometallics|||doi:10.1021/acs.organomet.5c00450
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pwbb8
title: CCDC 2498920: Experimental Crystal Structure Determination

description: Related Article: Wen-Ji He, Shili Fang, Shenghua Yang, Nana Kim, Zhipeng Lu, Camille Z. Rubel, Jake Bailey, Milan Gembicky, Song Lin, Steven R. Wisniewski, Keary M. Engle|2026|Organometallics|||doi:10.1021/acs.organomet.5c00450
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15139/s3/r6f4it
title: Data Management and Sharing Plan for: Mucus Hyperconcentration under Airway Inflammation and Hypoxia in CF

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.17898/adp_korup_04_v1/1
title: obikovanje_utezi.rtf

description: :unav
DOI: 10.17898/adp_korup_04_v1/2
title: korup02-vp.pdf

description: :unav
DOI: 10.17898/adp_korup_04_v1/3
title: korup03-vp.pdf

description: :unav
DOI: 10.17898/adp_korup_04_v1/4
title: korup04-vp.pdf

description: :unav
DOI: 10.17898/adp_korup_04_v1/5
title: korup_04.tab

description: :unav
DOI: 10.17898/adp_korup_04_v1
title: Stališča o korupciji 2002–2004

description: Tematsko se raziskava osredotoča na problem korupcije, njene vzroke in njeno sprejemanje med državljankami in državljani. Vprašanja se nanašajo na problemska področja, kot so: javne službe, izkušnje s korupcijo, nadzorom, pregonom in zakonodajo, ki ureja to področje. Vprašalnik je sestavljen iz treh sklopov. Medtem ko je prvi namenjen osrednjemu problemu raziskave, tj. korupciji, drugi sprašuje o zadovoljstvu z demokracijo, volilnih preferencah, dohodku, zaupanju v institucije ter spremljanju medijev. Tretji del vsebuje vprašanja socio-demografskega izvora. Oblikovan vprašalnik se naslanja na raziskave Inštituta Svetovne banke.
DOI: 10.5281/zenodo.18624189
title: Data and code used in this study "Antarctic sea-ice loss drives Southern Ocean production regime shift"

description:               Description of Data and Code Availability

 

All data and code supporting the manuscript of “Antarctic sea-ice loss drives Southern Ocean production regime shift” (Chao Zhang, Thomas J. Browning, Anmin Duan, Eric P. Achterberg) are publicly available. Datasets and custom scripts are summarised below

All custom scripts developed for this study are archived and freely accessible:





Trend calculation (Fortran 90) – Computes linear trends, statistical significance, moving t-test, Empirical Orthogonal Function (EOF) analysis for gridded data.




Information flow (MATLAB) – Implements the Liang–Kleeman information flow method to quantify causal direction between Antarctic sea ice and atmospheric circulation.




Storm pressure density index (MATLAB) – Processes synoptic-scale storm tracks, applies trajectory‑level quality control, and computes austral summer pressure‑density indices over the Southern Ocean.




Land–sea mask generation (MATLAB) – Uses M_Map and GSHHS coastline data to create an accurate high‑resolution land mask.



 

Full list of publicly archived datasets

Sea ice





Hadley Centre HadISST1 – hadleyserver.metoffice.gov.uk/hadisst/data/download.html




ORAS5 sea‑ice concentration and wind stress – doi.org/10.24381/cds.67e8eeb7




NSIDC sea‑ice extent/area (G02135) – noaadata.apps.nsidc.org/NOAA/G02135/south/monthly/data/



Ocean primary production





Global Ocean Colour primary production – doi.org/10.48670/moi-00281




MODIS chlorophyll‑a and PAR – oceandata.sci.gsfc.nasa.gov/l3/



Atmospheric reanalysis & dust





ERA5 full reanalysis – doi.org/10.24381/cds.6860a573




MERRA‑2 dust aerosol diagnostics – doi.org/10.5067/RZIK2TV7PP38




MERRA‑2 surface turbulent fluxes – doi.org/10.5067/0JRLVL8YV2Y4



Ocean physics and iron





ECCO V4R4 vertical velocity – doi.org/10.5067/ECG5M-OVE44




ECCO V4R4 mixed layer depth – doi.org/10.5067/ECG5M-OML44




Global micronutrient iron concentration climatology – doi.org/10.48670/moi-00019



Storm tracks





Extratropical cyclone tracker code and output – github.com/jlodise/JGR2022_ExtratropicalCycloneTracker



Usage & correspondenceAll materials are free for non‑commercial scientific use. Please cite this URL and the original data sources. For questions, contact the corresponding authors: Chao Zhang (chaozhang@xmu.edu.cn) or Eric P. Achterberg (eachterberg@geomar.de).
DOI: 10.5281/zenodo.18624190
title: Data and code used in this study "Antarctic sea-ice loss drives Southern Ocean production regime shift"

description:               Description of Data and Code Availability

 

All data and code supporting the manuscript of “Antarctic sea-ice loss drives Southern Ocean production regime shift” (Chao Zhang, Thomas J. Browning, Anmin Duan, Eric P. Achterberg) are publicly available. Datasets and custom scripts are summarised below

All custom scripts developed for this study are archived and freely accessible:





Trend calculation (Fortran 90) – Computes linear trends, statistical significance, moving t-test, Empirical Orthogonal Function (EOF) analysis for gridded data.




Information flow (MATLAB) – Implements the Liang–Kleeman information flow method to quantify causal direction between Antarctic sea ice and atmospheric circulation.




Storm pressure density index (MATLAB) – Processes synoptic-scale storm tracks, applies trajectory‑level quality control, and computes austral summer pressure‑density indices over the Southern Ocean.




Land–sea mask generation (MATLAB) – Uses M_Map and GSHHS coastline data to create an accurate high‑resolution land mask.



 

Full list of publicly archived datasets

Sea ice





Hadley Centre HadISST1 – hadleyserver.metoffice.gov.uk/hadisst/data/download.html




ORAS5 sea‑ice concentration and wind stress – doi.org/10.24381/cds.67e8eeb7




NSIDC sea‑ice extent/area (G02135) – noaadata.apps.nsidc.org/NOAA/G02135/south/monthly/data/



Ocean primary production





Global Ocean Colour primary production – doi.org/10.48670/moi-00281




MODIS chlorophyll‑a and PAR – oceandata.sci.gsfc.nasa.gov/l3/



Atmospheric reanalysis & dust





ERA5 full reanalysis – doi.org/10.24381/cds.6860a573




MERRA‑2 dust aerosol diagnostics – doi.org/10.5067/RZIK2TV7PP38




MERRA‑2 surface turbulent fluxes – doi.org/10.5067/0JRLVL8YV2Y4



Ocean physics and iron





ECCO V4R4 vertical velocity – doi.org/10.5067/ECG5M-OVE44




ECCO V4R4 mixed layer depth – doi.org/10.5067/ECG5M-OML44




Global micronutrient iron concentration climatology – doi.org/10.48670/moi-00019



Storm tracks





Extratropical cyclone tracker code and output – github.com/jlodise/JGR2022_ExtratropicalCycloneTracker



Usage & correspondenceAll materials are free for non‑commercial scientific use. Please cite this URL and the original data sources. For questions, contact the corresponding authors: Chao Zhang (chaozhang@xmu.edu.cn) or Eric P. Achterberg (eachterberg@geomar.de).
DOI: 10.17898/adp_mla00_v1/1
title: mla00-vp.pdf

description: :unav
DOI: 10.17898/adp_mla00_v1/2
title: mla00.tab

description: :unav
DOI: 10.17898/adp_mla00_v1
title: Mladina, 2000

description: Namen raziskave je prikazati splošno podobo mlajše generacije v Sloveniji. Poudarek tokratne raziskave je na političnih stališčih in odnosu do politike ter demokracije po desetih letih od prehoda, nakupovalnih navadah ter socialnih stikih. Poleg tega so zajeta običajna področja navad, aktivnosti in preživljanja časa, vrednot, odnosa do šole in staršev ter ocenjevanja problemov mladih.
DOI: 10.17898/adp_sjm092_v1/1
title: sjm092_vp2_sl_v1_r2.pdf

description: :unav
DOI: 10.17898/adp_sjm092_v1/2
title: sjm092.tab

description: :unav
DOI: 10.17898/adp_sjm092_v1
title: Slovensko javno mnenje 2009/2

description: Raziskava SJM092 - Raziskava o nacionalni in mednarodni varnosti vsebuje tudi sklop vprašanj, ki so del Mednarodne raziskave volilnih sistemov (CSES 2009) in se nanašajo na odnos do volitev in politični strank. Ostala vprašanja se nanašajo na poglede na nacionalno in mednarodno varnost, NATO ter poglede na vojaški poklic. Primerjalne raziskave: SJM033, SJM052, SJM07.
DOI: 10.17909/gark-9x94
title: JWST Cycle 2 NIRSpec/PRISM data for TOI-5293b

description: We performed the data reduction on the Stage 0 files (*_nrs1_uncal.fits) for these observations.
DOI: 10.25824/redu/orxggi
title: Associação clínico-radiográfica na artropatia hemofílica: uma análise da funcionalidade autorreferida por articulação

description: Os dados são provenientes de um estudo transversal, observacional, realizado a partir de dados clínicos e radiográficos de 118 participantes maiores de 18 anos, com diagnóstico de hemofilia atendidos em um centro de referência. A funcionalidade musculoesquelética foi aferida pela escala Haemophilia Activities List (HAL), e o dano radiográfico de cotovelos, joelhos e tornozelos foi quantificado pelos escores de Pettersson e Arnold-Hilgartner (AH).
DOI: 10.15139/s3/24fwlp
title: Data Management and Sharing Plan for: The geography of H5N1 avian influenza in the United States: Human-environment ecosystem drivers of transmission and viral evolution

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.23641/asha.31011862
title: Nuances in prosody production in autism (Liu et al., 2026)

description: <b>Purpose: </b>Prosodic differences between autistic and non-autistic individuals are recognized, but there is a lack of consensus on the specific prosodic features that characterize the “autistic voice” due to widespread heterogeneity and mixed findings. This study seeks to build further understanding of the nuances of prosody in autism through individual differences and network analyses.<b>Method:</b> Acoustic analyses were conducted from 66 school-age autistic and non-autistic children and adolescents’ narrative generation. Between-groups analyses of pitch- and timing-related prosodic features were conducted, followed by within-group analyses investigating associations between prosodic features and individual differences in overall language skills. Thereafter, established network analysis methods were adopted to detect the communities of participants based on similar prosodic features.<b>Results:</b> Initial between-groups analyses revealed greater pitch range and variation among autistic compared to non-autistic participants, as well as slower speech and articulation rates, although subsequent analyses revealed that speech and articulation rates were associated with overall language skills. Similar to Weed et al. (2024), the community detection algorithm identified three communities of participants clustered by prosodic features (pitch variation, speech and articulation rates, jitter), with various proportions of autistic participants in each community that did not effectively distinguish between autistic and non-autistic participants.<b>Conclusions:</b> Although between-groups differences consistent with similar previous literature have been indicated, community detection analyses further support the notion that prosody in autism may be “different in different ways.” This work highlights the importance of moving beyond group-difference approaches in uncovering nuances to individual differences in prosody via within-group and data-driven analysis approaches.<b>Supplemental Material S1.</b> Analyses of covariance for prosodic features with language skills as a covariate.Liu, T., Davison, K. E., Kershenbaum, A. M., Weed, E., Gabrieli, J. D. E., Tager-Flusberg, H., & Zuk, J. (2026). Rethinking prosody production in autism: Nuanced insights from individual differences and network analysis approaches. <i>Journal of Speech, Language, and Hearing Research</i><i>, 69</i>(2), 660–678. https://doi.org/10.1044/2025_JSLHR-24-00690
DOI: 10.23641/asha.31011862.v1
title: Nuances in prosody production in autism (Liu et al., 2026)

description: <b>Purpose: </b>Prosodic differences between autistic and non-autistic individuals are recognized, but there is a lack of consensus on the specific prosodic features that characterize the “autistic voice” due to widespread heterogeneity and mixed findings. This study seeks to build further understanding of the nuances of prosody in autism through individual differences and network analyses.<b>Method:</b> Acoustic analyses were conducted from 66 school-age autistic and non-autistic children and adolescents’ narrative generation. Between-groups analyses of pitch- and timing-related prosodic features were conducted, followed by within-group analyses investigating associations between prosodic features and individual differences in overall language skills. Thereafter, established network analysis methods were adopted to detect the communities of participants based on similar prosodic features.<b>Results:</b> Initial between-groups analyses revealed greater pitch range and variation among autistic compared to non-autistic participants, as well as slower speech and articulation rates, although subsequent analyses revealed that speech and articulation rates were associated with overall language skills. Similar to Weed et al. (2024), the community detection algorithm identified three communities of participants clustered by prosodic features (pitch variation, speech and articulation rates, jitter), with various proportions of autistic participants in each community that did not effectively distinguish between autistic and non-autistic participants.<b>Conclusions:</b> Although between-groups differences consistent with similar previous literature have been indicated, community detection analyses further support the notion that prosody in autism may be “different in different ways.” This work highlights the importance of moving beyond group-difference approaches in uncovering nuances to individual differences in prosody via within-group and data-driven analysis approaches.<b>Supplemental Material S1.</b> Analyses of covariance for prosodic features with language skills as a covariate.Liu, T., Davison, K. E., Kershenbaum, A. M., Weed, E., Gabrieli, J. D. E., Tager-Flusberg, H., & Zuk, J. (2026). Rethinking prosody production in autism: Nuanced insights from individual differences and network analysis approaches. <i>Journal of Speech, Language, and Hearing Research</i><i>, 69</i>(2), 660–678. https://doi.org/10.1044/2025_JSLHR-24-00690
DOI: 10.15139/s3/bvxzvf
title: Data Management and Sharing Plan for: Testing the efficacy of anti-CD89 antagonist JJP-1212 in experimental linear IgA bullous dermatosis

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5281/zenodo.18624459
title: INTEGRATIV YONDASHUV ASOSIDA KASBIY KOMPETENSIYANI RIVOJLANTIRISH: NAZARIY TAHLIL VA AMALIY YECHIMLAR.

description: Ushbu maqolada bo‘lajak mutaxassislarning kasbiy kompetensiyasini rivojlantirishda integrativ yondashuvning ilmiy-nazariy asoslari hamda amaliy qo‘llanish imkoniyatlari tahlil etiladi. Integrativ yondashuvning mazmuni kompetensiyaviy ta’lim paradigmasi bilan o‘zaro aloqadorlikda yoritiladi. Shuningdek, kasbiy kompetensiyani shakllantirishga xizmat qiluvchi samarali pedagogik yechimlar, fanlararo integratsiya asosida ta’lim jarayonini loyihalash mexanizmlari asoslab beriladi. Olingan natijalar oliy ta’limda mutaxassislar tayyorlash sifatini oshirishga yo‘naltirilgan. Ushbu yondashuv ta’lim mazmunining tizimliligi, uzviyligi va amaliyot bilan bog‘liqligini ta’minlash orqali kompetentlik rivojiga ijobiy ta’sir ko‘rsatadi hamda kasbiy faoliyat samaradorligini oshiradi.
DOI: 10.5281/zenodo.18624460
title: INTEGRATIV YONDASHUV ASOSIDA KASBIY KOMPETENSIYANI RIVOJLANTIRISH: NAZARIY TAHLIL VA AMALIY YECHIMLAR.

description: Ushbu maqolada bo‘lajak mutaxassislarning kasbiy kompetensiyasini rivojlantirishda integrativ yondashuvning ilmiy-nazariy asoslari hamda amaliy qo‘llanish imkoniyatlari tahlil etiladi. Integrativ yondashuvning mazmuni kompetensiyaviy ta’lim paradigmasi bilan o‘zaro aloqadorlikda yoritiladi. Shuningdek, kasbiy kompetensiyani shakllantirishga xizmat qiluvchi samarali pedagogik yechimlar, fanlararo integratsiya asosida ta’lim jarayonini loyihalash mexanizmlari asoslab beriladi. Olingan natijalar oliy ta’limda mutaxassislar tayyorlash sifatini oshirishga yo‘naltirilgan. Ushbu yondashuv ta’lim mazmunining tizimliligi, uzviyligi va amaliyot bilan bog‘liqligini ta’minlash orqali kompetentlik rivojiga ijobiy ta’sir ko‘rsatadi hamda kasbiy faoliyat samaradorligini oshiradi.
DOI: 10.5067/goes13/ceres/geo_ed4_nh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Goes-13 Northern Hemisphere V1.0
DOI: 10.5067/goes15/ceres/geo_ed4_sh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Goes-15 Southern Hemisphere V1.0
DOI: 10.5067/goes13/ceres/geo_ed4_sh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Goes-13 Southern Hemisphere V1.0
DOI: 10.5067/met08/ceres/geo_ed4_nh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Metosat-8 Northern Hemisphere V1.0
DOI: 10.5067/met08/ceres/geo_ed4_sh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Metosat-8 Southern Hemisphere V1.0
DOI: 10.5281/zenodo.18605521
title: Simulated Dataset: wQFM-GDL Enables Accurate Quartet-based Genome-scale Species Tree Inference Under Gene Duplication and Loss

description: We simulated two large datasets, SIM200 and SIM500 containing 200 and 500 taxa model conditions, respectively to test our developed method wQFM-GDL against other popular methods. For both datasets, we varied three duplication rates. For each duplication rate, we considered two loss rates, two levels of ILS, and different numbers of gene trees (250, 500, and 1000). This resulted in a total of 36 model conditions per dataset, with 20 replicates for SIM200 and 10 replicates for SIM500. For both SIM200 and SIM500, We used Simphy to generate true gene family trees and AliSim to simulate sequence alignment from the true trees. Finally, FastTree was used to estimate maximum likelihood gene trees using the GTR+Gamma model. We varied duplication and loss rates, ILS level, and the number of gene trees for both of the datasets. The details of the parameters are presented in Supplementary Table 1. The proper duplication rates and haploid effective population sizes for GDL and ILS levels of the model conditions are estimated empirically.

The dataset includes the estimated multicopy gene family trees in the file estimated_gene_trees.zip, and the true gene trees simulated by SimPhy along with their corresponding alignments in true_trees_and_MSA.zip. Within each zip archive, the data are organized into subfolders by model condition, and each of these contains additional subfolders for individual replicates.
DOI: 10.5281/zenodo.18605522
title: Simulated Dataset: wQFM-GDL Enables Accurate Quartet-based Genome-scale Species Tree Inference Under Gene Duplication and Loss

description: We simulated two large datasets, SIM200 and SIM500 containing 200 and 500 taxa model conditions, respectively to test our developed method wQFM-GDL against other popular methods. For both datasets, we varied three duplication rates. For each duplication rate, we considered two loss rates, two levels of ILS, and different numbers of gene trees (250, 500, and 1000). This resulted in a total of 36 model conditions per dataset, with 20 replicates for SIM200 and 10 replicates for SIM500. For both SIM200 and SIM500, We used Simphy to generate true gene family trees and AliSim to simulate sequence alignment from the true trees. Finally, FastTree was used to estimate maximum likelihood gene trees using the GTR+Gamma model. We varied duplication and loss rates, ILS level, and the number of gene trees for both of the datasets. The details of the parameters are presented in Supplementary Table 1. The proper duplication rates and haploid effective population sizes for GDL and ILS levels of the model conditions are estimated empirically.

The dataset includes the estimated multicopy gene family trees in the file estimated_gene_trees.zip, and the true gene trees simulated by SimPhy along with their corresponding alignments in true_trees_and_MSA.zip. Within each zip archive, the data are organized into subfolders by model condition, and each of these contains additional subfolders for individual replicates.
DOI: 10.5067/met09/ceres/geo_ed4_nh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Metosat-9 Northern Hemisphere V1.0
DOI: 10.5067/flash_ssf_terra-fm1-modis_version4b
title: SatCORPS CERES GEO Edition 4 Meteosat-9 Southern Hemisphere V1.0
DOI: 10.5067/met10/ceres/geo_ed4_nh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Meteosat-10 Northern Hemisphere V1.0
DOI: 10.48580/dgtm5.v8
title: Suez Wind Energy BOO Wind Power Plant 1.1 GW - SWE North (PLOT 1) Bat Addendum Report
DOI: 10.5067/met10/ceres/geo_ed4_sh_l2.v1.0
title: SatCORPS CERES GEO Edition 4 Meteosat-10 Southern Hemisphere V1.0
DOI: 10.5067/spot4/poam/polar_ozone_and_aerosol_iii_l2.1
title: Polar Ozone and Aerosol Measurement III
DOI: 10.5067/spot4/poam/polar_ozone_and_aerosol_ii_l2.v6.0
title: Polar Ozone and Aerosol Measurement II V6
DOI: 10.5067/nimbus7/smmr/monthly_mean_iwv_by_prabhakara_1_l3.001
title: Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) By Prabhakarag
DOI: 10.5067/nimbus7/smmr/monthly_mean_alw_by_prabhakara_1_l3.001
title: Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Atmospheric Liquid Water (ALW) By Prabhakara
DOI: 10.5067/noaa20/ceres/bds_j01_fm6_edition1_cv
title: CERES Bidirectional Scans JPSS-1 FM6 Edition1-CV
DOI: 10.5067/sts64/ceres/lidar_lite_l1.v1.0
title: Lidar In-Space Technology Experiment (LITE) L1
DOI: 10.5067/nooa20/ceres/flash_ssf_fm6_viirs_l2.v1b
title: Fast Longwave And SHortwave Fluxes (FLASHflux) NOAA-20 Clouds and Radiative Swath (SSF) Version1B
DOI: 10.5067/terra/ceres/flash_ssf_terra_fm1_modis_l2.v4b
title: Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in netCDF Version 4B
DOI: 10.5067/aqua/ceres/bds_aqua_fm3_l1b_edition1_cv
title: CERES Bidirectional Scans Aqua FM3 Edition1-CV
DOI: 10.5067/aqua/ceres/bds_aqua_fm4_l1b_edition1_cv
title: CERES Bidirectional Scans Aqua FM4 Edition1-CV
DOI: 10.5067/suominpp/ceres/bds_npp_fm5_l1b_edition1_cv
title: CERES Bidirectional Scans NPP FM5 Edition1-CV
DOI: 10.5067/terra/ceres/bds_terra_fm1_l1b_edition1_cv
title: CERES Bidirectional Scans Terra FM1 Edition1-CV