cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5067/tcsp/reports/data101
title: TCSP MISSION REPORTS
DOI: 10.6084/m9.figshare.22144082
title: Data for paper: Protected area coverage of vulnerable regions to conserve functional diversity of birds

description: Data supporting findings in the paper: "Protected area coverage of vulnerable regions to conserve functional diversity of birds". Read the "ReadMe" file for more details. <br>
DOI: 10.6084/m9.figshare.22144082.v1
title: Data for paper: Protected area coverage of vulnerable regions to conserve functional diversity of birds

description: Data supporting findings in the paper: "Protected area coverage of vulnerable regions to conserve functional diversity of birds". Read the "ReadMe" file for more details. <br>
DOI: 10.34740/kaggle/dsv/6095669
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.23596764
title: ClusterDE_datasets

description: We propose ClusterDE, a post-clustering DE method for controlling the false discovery rate (FDR) of identified DE genes regardless of clustering quality. The core idea of ClusterDE is to generate real-data-based synthetic null data with only one cluster, as a counterfactual in contrast to the real data, for evaluating the whole procedure of clustering followed by a DE test. This folder contains datasets used in the paper.
DOI: 10.6084/m9.figshare.23596764.v1
title: ClusterDE_datasets

description: We propose ClusterDE, a post-clustering DE method for controlling the false discovery rate (FDR) of identified DE genes regardless of clustering quality. The core idea of ClusterDE is to generate real-data-based synthetic null data with only one cluster, as a counterfactual in contrast to the real data, for evaluating the whole procedure of clustering followed by a DE test. This folder contains datasets used in the paper.
DOI: 10.5281/zenodo.8124888
title: Imaging seismic and aseismic plate coupling with interferometric radar (InSAR) in the Hikurangi subduction zone

description: Data associated with 'Imaging seismic and aseismic plate coupling with interferometric radar (InSAR) in the Hikurangi subduction zone published in GRL.
DOI: 10.5281/zenodo.8124887
title: Imaging seismic and aseismic plate coupling with interferometric radar (InSAR) in the Hikurangi subduction zone

description: Data associated with 'Imaging seismic and aseismic plate coupling with interferometric radar (InSAR) in the Hikurangi subduction zone published in GRL.
DOI: 10.5066/p9bi2n1n
title: USGS National and Global Oil and Gas Assessment Project?Southeast Asia Assessment Unit Boundaries, Assessment Input Forms, and Assessment Results Data Table (ver. 2.0, June 2023)

description: This data release contains the boundaries of conventional assessment units for the assessment of undiscovered oil and gas resources in Southeast Asia. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Methodology of assessments are documented in USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).
DOI: 10.5281/zenodo.8124800
title: Preprocessed MPI System Matrix Data in HDF5 Files

description: This data repository contains preprocessed system matrix data from magnetic particle imaging. The example files are hdf5. The data is used in this code example: github.com/Ivo-B/3dSMRnet
DOI: 10.5281/zenodo.8124799
title: Preprocessed MPI System Matrix Data in HDF5 Files

description: This data repository contains preprocessed system matrix data from magnetic particle imaging. The example files are hdf5. The data is used in this code example: github.com/Ivo-B/3dSMRnet
DOI: 10.5067/modis/mod02hkm.006
title: MOD02HKM MODIS/Terra Calibrated Radiances 5-Min L1B Swath 500m
DOI: 10.5067/modis/mod02obc.006
title: MOD02OBC MODIS/Terra On-Board Calibrator and Engineering Data 5-Min L1B
DOI: 10.5519/qd.e03s2ktm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.5067/modis/mod02obc.061
title: MOD02OBC MODIS/Terra On-Board Calibrator and Engineering Data 5-Min L1B
DOI: 10.5067/modis/mod02qkm.006
title: MOD02QKM MODIS/Terra Calibrated Radiances 5-Min L1B Swath 250m
DOI: 10.5067/modis/mod02ssh.006
title: MOD02SSH MODIS/Terra Level 1B Subsampled Calibrated Radiances 5km
DOI: 10.5067/modis/mod02ssh.061
title: MOD02SSH MODIS/Terra Level 1B Subsampled Calibrated Radiances 5km
DOI: 10.5067/modis/mod04_3k.006
title: MOD04_3K MODIS/Terra Aerosol 5-Min L2 Swath 3km
DOI: 10.5067/viirs/aerdb_m3_viirs_snpp.011
title: VIIRS/SNPP Deep Blue Level 3 monthly aerosol data, 1 degree x1 degree grid
DOI: 10.5067/viirs/aerdb_m3_viirs_snpp.002
title: VIIRS/SNPP Deep Blue Level 3 monthly aerosol data, 1 degree x1 degree grid
DOI: 10.5067/viirs/aerdt_l2_viirs_snpp.001
title: VIIRS/SNPP Dark Target Aerosol 6-Min L2 Swath 750m
DOI: 10.5067/viirs/aerdt_l2_viirs_snpp.011
title: VIIRS/SNPP Dark Target Aerosol 6-Min L2 Swath 750m
DOI: 10.5067/viirs/cldcr_l2_viirs_snpp.001
title: VIIRS/SNPP Cirrus Reflectance 6-min L2 Swath 750m
DOI: 10.5067/viirs/cldprop_d3_viirs_noaa20.011
title: VIIRS/NOAA20 Cloud Properties Level 3 daily, 1x1 degree grid
DOI: 10.5067/viirs/cldprop_l2_viirs_noaa20.011
title: VIIRS/NOAA20 Cloud Properties 6-Min L2 Swath 750 m
DOI: 10.5067/viirs/cldprop_m3_viirs_noaa20.011
title: VIIRS/NOAA20 Cloud Properties Level 3 monthly, 1x1 degree grid
DOI: 10.5067/viirs/cldprop_m3_viirs_snpp.011
title: VIIRS/SNPP Cloud Properties Level 3 monthly, 1x1 degree grid
DOI: 10.5067/viirs/fsnrad_l2_viirs_cris_noaa20.001
title: NOAA20 VIIRS+CrIS Fusion 6-Min L2 Swath 750m
DOI: 10.5067/viirs/fsnrad_l2_viirs_cris_noaa20.002
title: NOAA20 VIIRS+CrIS Fusion 6-Min L2 Swath 750m
DOI: 10.5067/viirs/fsnrad_l2_viirs_cris_snpp.001
title: SNPP VIIRS+CrIS Fusion 6-Min L2 Swath 750m
DOI: 10.5067/viirs/fsnrad_l2_viirs_cris_snpp.002
title: SNPP VIIRS+CrIS Fusion 6-Min L2 Swath 750m
DOI: 10.5067/viirs/vj102dnb.001
title: VIIRS/JPSS1 Day/Night Band 6-Min L1B Swath SDR- 750m
DOI: 10.5067/viirs/vj102dnb.002
title: VIIRS/JPSS1 Day/Night Band 6-Min L1B Swath SDR- 750m
DOI: 10.5067/viirs/vj102dnb.021
title: VIIRS/JPSS1 Day/Night Band 6-Min L1B Swath SDR- 750m
DOI: 10.5067/viirs/vj102img.001
title: VIIRS/JPSS1 Imagery Resolution Bands 6-Min L1B 6-Min Swath- 375m
DOI: 10.5067/viirs/vj102img.002
title: VIIRS/JPSS1 Imagery Resolution Bands 6-Min L1B 6-Min Swath- 375m
DOI: 10.5067/viirs/vj102mod.002
title: VIIRS/JPSS1 Moderate Resolution Bands L1B 6-Min Swath 750m
DOI: 10.5067/viirs/vj102img.021
title: VIIRS/JPSS1 Imagery Resolution Bands 6-Min L1B 6-Min Swath- 375m
DOI: 10.5067/viirs/vj102mod.001
title: VIIRS/JPSS1 Moderate Resolution Bands L1B 6-Min Swath 750m
DOI: 10.5067/viirs/vj102mod.021
title: VIIRS/JPSS1 Moderate Resolution Bands L1B 6-Min Swath 750m
DOI: 10.5067/viirs/vj103dnb.001
title: VIIRS/JPSS1 Day/Night Band Terrain Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vj103dnb.002
title: VIIRS/JPSS1 Day/Night Band Terrain Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vj103dnb.021
title: VIIRS/JPSS1 Day/Night Band Terrain Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vj103img.001
title: VIIRS/JPSS1 Imagery Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 375m
DOI: 10.5067/viirs/vj103img.002
title: VIIRS/JPSS1 Imagery Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 375m
DOI: 10.5067/viirs/vj103img.021
title: VIIRS/JPSS1 Imagery Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 375m
DOI: 10.5067/viirs/vj103mod.001
title: VIIRS/JPSS1 Moderate Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vj103mod.002
title: VIIRS/JPSS1 Moderate Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vj103mod.021
title: VIIRS/JPSS1 Moderate Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vnp09.001
title: VIIRS/NPP Atmospherically Corrected Surface Reflectance 6-Min L2 Swath IP 375m, 750m
DOI: 10.5067/viirs/vnp14img.001
title: VIIRS/NPP Active Fires 6-Min L2 Swath 375m
DOI: 10.5067/viirs/vnp46a1.001
title: VIIRS/NPP Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night
DOI: 10.5067/viirs/vnp46a2.001
title: VIIRS/NPP Gap-Filled Lunar BRDF-Adjusted Nighttime Lights Daily L3 Global 500m Linear Lat Lon Grid
DOI: 10.5067/viirs/vnp46a4.001
title: VIIRS/NPP Lunar BRDF-Adjusted Nighttime Lights Yearly L3 Global 15 arc-second Linear Lat Lon Grid
DOI: 10.5067/viirs/vnpcldmk.001
title: VIIRS/SNPP Cloud Mask and Spectral Test Results 6-Min L2 Swath 750m
DOI: 10.5067/viirs/watvp_d3_viirs_snpp.001
title: VIIRS/SNPP Water Vapor Level-3 daily 0.5 x 0.5 degree grid
DOI: 10.5067/viirs/watvp_l2_viirs_snpp.001
title: VIIRS/SNPP Level-2 Water Vapor Products 6-min Swath 750m
DOI: 10.5067/viirs/watvp_m3_viirs_snpp.001
title: VIIRS/SNPP Water Vapor Level-3 monthly 0.5 x 0.5 degree grid
DOI: 10.5067/viirs/vnp02dnb.001
title: VIIRS/NPP Day/Night Band 6-Min L1B Swath SDR- 750m
DOI: 10.5067/viirs/vnp02img.001
title: VIIRS/NPP Imagery Resolution Bands 6-Min L1B 6-Min Swath- 375m
DOI: 10.5067/viirs/vnp02img.002
title: VIIRS/NPP Imagery Resolution Bands 6-Min L1B 6-Min Swath- 375m
DOI: 10.5067/viirs/vnp03dnb.001
title: VIIRS/NPP Day/Night Band Terrain Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/viirs/vnp03img.001
title: VIIRS/NPP Imagery Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 375m
DOI: 10.5067/viirs/vnp03img.002
title: VIIRS/NPP Imagery Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 375m
DOI: 10.5067/viirs/vnp03imgll.001
title: VIIRS/NPP Imagery Resolution Terrain-Corrected Geolocation 6-Min L1 Swath 375m Light
DOI: 10.5067/viirs/vnp03mod.001
title: VIIRS/NPP Moderate Resolution Terrain-Corrected Geolocation L1 6-Min Swath- 750m
DOI: 10.5067/modis/mod08_e3.061
title: MODIS/Terra Aerosol Cloud Water Vapor Ozone 8-day L3 Global 1Deg CMG
DOI: 10.5067/modis/mod09a1g_evi.006
title: MODIS/Terra Gap-Filled, Smoothed EVI 8-Day L4 500m SIN Grid
DOI: 10.5067/modis/mod09a1g_ndvi.006
title: MODIS/Terra Gap-Filled, Smoothed NDVI 8-Day L4 500m SIN Grid
DOI: 10.5067/modis/mod09a1p_evi.006
title: MODIS/Terra EVI Phenology annual L4 500m SIN Grid
DOI: 10.5067/modis/mod09a1p_ndvi.006
title: MODIS/Terra NDVI Phenology annual L4 500m SIN Grid
DOI: 10.5067/modis/mod09q1g_evi.006
title: MODIS/Terra Gap-Filled, Smoothed EVI 8-Day L4 500m SIN Grid
DOI: 10.5067/modis/mod09q1g_ndvi.006
title: MODIS/Terra NDVI Phenology annual L4 500m SIN Grid
DOI: 10.5067/modis/mod09q1p_evi.006
title: MODIS/Terra EVI Phenology annual L4 500m SIN Grid
DOI: 10.5067/modis/mod09q1p_ndvi.006
title: MODIS/Terra NDVI Phenology annual L4 250m SIN Grid
DOI: 10.5067/modis/mod15a2gfs.006
title: MODIS/Terra Gap-Filled, Smoothed LAI-FPAR 8-Day L4 Global 1km SIN Grid
DOI: 10.5067/modis/mod15a2phn.006
title: MODIS/Terra LAI-FPAR Phenology annual L4 Global 1km SIN Grid
DOI: 10.5067/modis/mod35_l2.061
title: MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
DOI: 10.5067/modis/modarnss.006
title: MODARNSS MODIS/Terra Atmosphere Aeronet subsetting Product
DOI: 10.5067/modis/modarnss.061
title: MODARNSS MODIS/Terra Atmosphere Aeronet subsetting Product
DOI: 10.25318/3310066701-eng
title: Most challenging obstacle for the business or organization over the next three months, second quarter of 2023

description: Most challenging obstacle for the business or organization over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2023.
DOI: 10.5067/modis/modatml2.006
title: MODATML2 MODIS/Terra Level 2 Joint Atmosphere Product
DOI: 10.5067/modis/modatml2.061
title: MODATML2 MODIS/Terra Level 2 Joint Atmosphere Product
DOI: 10.5067/modis/modbmss.006
title: MODBMSS MODIS/Terra Atmosphere BELMANIP subsetting Product
DOI: 10.5067/modis/modbmss.061
title: MODIS/Terra Atmosphere BELMANIP subsetting Product
DOI: 10.5067/modis/modcsr_8.006
title: MODCSR_8 MODIS/Terra Clear Sky Radiance 8-Day Composite Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/modcsr_8.061
title: MODCSR_8 MODIS/Terra Clear Sky Radiance 8-Day Composite Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/modcsr_b.006
title: MODCSR_B MODIS/Terra 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands
DOI: 10.5067/modis/modcsr_b.061
title: MODCSR_B MODIS/Terra 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands
DOI: 10.5067/modis/modcsr_d.006
title: MODCSR_D MODIS/Terra Clear Sky Radiance Statistics Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/modcsr_d.061
title: MODCSR_D MODIS/Terra Clear Sky Radiance Statistics Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/modfnss.006
title: MODFNSS MODIS/Terra Atmosphere FluxNet subsetting Product
DOI: 10.5067/modis/modfnss.061
title: MODFNSS MODIS/Terra Atmosphere FluxNet subsetting Product
DOI: 10.5067/modis/myd01.006
title: MYD01 MODIS/Aqua Raw Radiances in Counts 5-Min L1A Swath
DOI: 10.5067/modis/myd01.061
title: MODIS/Aqua Raw Radiances in Counts 5-Min L1A Swath
DOI: 10.5067/modis/modcsr_g.006
title: MODCSR_G MODIS/Terra Clear Radiance Statistics Indexed to Global Grid 5-Min L2 Swath 10km
DOI: 10.5067/modis/modcsr_g.061
title: MODCSR_G MODIS/Terra Clear Radiance Statistics Indexed to Global Grid 5-Min L2 Swath 10km
DOI: 10.5067/modis/myd02hkm.006
title: MYD02HKM MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 500m
DOI: 10.5067/modis/myd02obc.006
title: MYD02OBC MODIS/Aqua On-Board Calibrator and Engineering Data 5-Min L1B
DOI: 10.5067/modis/myd02obc.061
title: MYD02OBC MODIS/Aqua On-Board Calibrator and Engineering Data 5-Min L1B
DOI: 10.5067/modis/myd02qkm.006
title: MYD02QKM MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 250m
DOI: 10.5067/modis/myd02ssh.061
title: MYD02SSH MODIS/Aqua Level 1B Subsampled Calibrated Radiances 5km
DOI: 10.5067/modis/myd04_3k.006
title: MYD04_3K MODIS/Aqua Aerosol 5-Min L2 Swath 3km
DOI: 10.25318/3310066701-fra
title: Plus grand défi de l’entreprise ou de l’organisme au cours des trois prochains mois, deuxième trimestre de 2023

description: Plus grand défi de l’entreprise ou de l’organisme au cours des trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, deuxième trimestre de 2023.
DOI: 10.5067/modis/myd02ssh.006
title: MYD02SSH MODIS/Aqua Level 1B Subsampled Calibrated Radiances 5km
DOI: 10.5067/modis/myd08_e3.006
title: MYD08_E3 MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG
DOI: 10.5067/modis/myd08_e3.061
title: MYD08_E3 MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG
DOI: 10.5067/modis/myd07_l2.006
title: MYD07_L2 MODIS/Aqua Temperature and Water Vapor Profiles 5-Min L2 Swath 5km
DOI: 10.5067/modis/mydarnss.006
title: MYDARNSS MODIS/Aqua Atmosphere Aeronet subsetting Product
DOI: 10.5067/modis/mydarnss.061
title: MYDARNSS MODIS/Aqua Atmosphere Aeronet subsetting Product
DOI: 10.5067/modis/mydatml2.006
title: MYDATML2 MODIS/Aqua Joint (Cloud, Aerosol, Water Vapor and Profile) 5-Min L2 Swath at 5-km and 10-km
DOI: 10.5067/modis/mydatml2.061
title: MYDATML2 MODIS/Aqua Joint (Cloud, Aerosol, Water Vapor and Profile) 5-Min L2 Swath at 5-km and 10-km
DOI: 10.5067/modis/mydbmss.006
title: MYDBMSS MODIS/Aqua Atmosphere BELMANIP subsetting Product
DOI: 10.5281/zenodo.8124900
title: Na Lidar Data acquired at Haleakala, Maui, Hawaii from 2002-2005

description: The dataset contains profiles of temperatures, line-of-sight winds, Na densities, and their uncertainties in Matlab format.
DOI: 10.5281/zenodo.8124899
title: Na Lidar Data acquired at Haleakala, Maui, Hawaii from 2002-2005

description: The dataset contains profiles of temperatures, line-of-sight winds, Na densities, and their uncertainties in Matlab format.
DOI: 10.5067/modis/mydbmss.061
title: MODIS/Aqua Atmosphere BELMANIP subsetting Product
DOI: 10.5067/modis/mydcsr_8.006
title: MYDCSR_8 MODIS/Aqua Clear Sky Radiance 8-Day Composite Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/mydcsr_8.061
title: MYDCSR_8 MODIS/Aqua Clear Sky Radiance 8-Day Composite Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/mydcsr_b.006
title: MYDCSR_B MODIS/Aqua 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands
DOI: 10.5067/modis/mydcsr_b.061
title: MYDCSR_B MODIS/Aqua 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands
DOI: 10.5067/modis/mydcsr_d.006
title: MYDCSR_D MODIS/Aqua Clear Sky Radiance Statistics Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/mydcsr_d.061
title: MYDCSR_D MODIS/Aqua Clear Sky Radiance Statistics Daily L3 Global 25km Equal Area
DOI: 10.5067/modis/mydcsr_g.006
title: MYDCSR_G MODIS/Aqua Clear Radiance Statistics Indexed to Global Grid 5-Min L2 Swath 10km
DOI: 10.5067/modis/mydcsr_g.061
title: MYDCSR_G MODIS/Aqua Clear Radiance Statistics Indexed to Global Grid 5-Min L2 Swath 10km
DOI: 10.5067/modis/mydfnss.006
title: MYDFNSS MODIS/Aqua Atmosphere FluxNet subsetting Product
DOI: 10.5067/modis/mydfnss.061
title: MYDFNSS MODIS/Aqua Atmosphere FluxNet subsetting Product
DOI: 10.5067/viirs/aerdb_d3_viirs_noaa20.002
title: VIIRS/NOAA20 Deep Blue Level 3 daily aerosol data, 1 degree x1 degree grid
DOI: 10.5067/viirs/aerdb_d3_viirs_snpp.001
title: VIIRS/SNPP Deep Blue Level 3 daily aerosol data, 1x1 degree grid
DOI: 10.5067/viirs/aerdb_d3_viirs_snpp.002
title: VIIRS/SNPP Deep Blue Level 3 daily aerosol data, 1 degree x1 degree grid
DOI: 10.5067/viirs/aerdb_d3_viirs_snpp.011
title: VIIRS/SNPP Deep Blue Level 3 daily aerosol data, 1 degree x1 degree grid
DOI: 10.5067/viirs/aerdb_l2_viirs_noaa20.002
title: VIIRS/NOAA20 Deep Blue Aerosol L2 6-Min Swath 6 km
DOI: 10.5067/viirs/aerdb_l2_viirs_snpp.001
title: VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km
DOI: 10.5067/viirs/aerdb_m3_viirs_noaa20.002
title: VIIRS/NOAA20 Deep Blue Level 3 monthly aerosol data, 1 degree x1 degree grid
DOI: 10.5067/viirs/aerdb_m3_viirs_snpp.001
title: VIIRS/SNPP Deep Blue Level 3 monthly aerosol data, 1x1 degree grid
DOI: 10.5067/modis/cldprop_d3_modis_aqua.011
title: MODIS/Aqua Cloud Properties Level 3 daily, 1x1 degree grid
DOI: 10.5067/modis/cldprop_l2_modis_aqua.001
title: MODIS/Aqua Cloud Properties 5-Min L2 Swath 1 km
DOI: 10.5067/modis/mcd06cosp_d3_modis.061
title: MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid
DOI: 10.5067/modis/mod01.006
title: MOD01 MODIS/Terra Raw Radiances in Counts 5-Min L1A Swath
DOI: 10.25318/3310066801-eng
title: Business or organization expected impacts of labour-related obstacles over the next three months, second quarter of 2023

description: Business or organization expected impacts of labour-related obstacles over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2023.
DOI: 10.5067/modis/mod01.061
title: MODIS/Terra Raw Radiances in Counts 5-Min L1A Swath
DOI: 10.25318/3310066801-fra
title: Répercussions prévues des obstacles en matière de main-d’œuvre sur l'entreprise ou l'organisme au cours des trois prochains mois, deuxième trimestre de 2023

description: Répercussions prévues des obstacles en matière de main-d’œuvre sur l'entreprise ou l'organisme au cours des trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, deuxième trimestre de 2023.
DOI: 10.48370/ofd/ssiitb
title: Data from Mikusiński et al. People and Nature

description: Mikusiński et al paper, 2023
DOI: 10.48370/ofd/ssiitb/dfhb3z
title: Final_Database.tab

description: :unav
DOI: 10.25318/3310066901-fra
title: Attentes de l'entreprise ou de l'organisme quant à la durée des obstacles liés à la chaîne d'approvisionnement, deuxième trimestre de 2023

description: Attentes de l'entreprise ou de l'organisme quant à la durée des obstacles liés à la chaîne d'approvisionnement, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, deuxième trimestre de 2023.
DOI: 10.5281/zenodo.6416148
title: Modeled temperature and Marine heatwaves intensity in the coastal Northern Humboldt Current System

description: This dataset includes the tridimensional modeled temperature and associated research data that support the results of the article "<strong><em>Comprehensive characterization of Marine Heatwaves in a coastal Northern Humboldt Current System regional model over recent decades</em></strong>". Specifically, it consists of three files (NetCDF format):<br> i) Northern_MHWs.nc, this file contains the daily modeled temperature (from 2000 to 2019) within the northern domain of analysis (3-8°S) within the 250 km nearshore band for each vertical layer ranging from 0 to 250m depth. In addition, daily snapshots of MHW intensity are also included by depth.<br> ii) Central_MHWs.mat, similar to the previous file, but for the central domain of analysis, from 8 to 13°S.<br> iii) Southern_MHWs.mat, similar to the previous file, but for the southern domain of analysis, from 13 to 18°S.
description: The authors acknowledge the financial support of the Project Concytec - World Bank "Characterization and forecast of extreme events in the Peruvian sea using an operational system of oceanic information", through its executing unit Fondo Nacional de Desarrollo Cientı́fico, Tecnológico y de Innovación Tecnológica (Fondecyt). This work is a contribution to the cooperative agreement between the Instituto del Mar del Perú (IMARPE) and the Institut de Recherche pour le Developpement (IRD) through the IRD international network GDRI DEXICOTROP.
DOI: 10.5281/zenodo.5156822
title: Modeled temperature and Marine heatwaves intensity in the coastal Northern Humboldt Current System

description: This dataset includes the tridimensional modeled temperature and associated research data that support the results of the article "<strong><em>Comprehensive characterization of Marine Heatwaves in a coastal Northern Humboldt Current System regional model over recent decades</em></strong>". Specifically, it consists of three files (NetCDF format):<br> i) Northern_MHWs.nc, this file contains the daily modeled temperature (from 2000 to 2019) within the northern domain of analysis (3-8°S) within the 250 km nearshore band for each vertical layer ranging from 0 to 250m depth. In addition, daily snapshots of MHW intensity are also included by depth.<br> ii) Central_MHWs.mat, similar to the previous file, but for the central domain of analysis, from 8 to 13°S.<br> iii) Southern_MHWs.mat, similar to the previous file, but for the southern domain of analysis, from 13 to 18°S.
description: The authors acknowledge the financial support of the Project Concytec - World Bank "Characterization and forecast of extreme events in the Peruvian sea using an operational system of oceanic information", through its executing unit Fondo Nacional de Desarrollo Cientı́fico, Tecnológico y de Innovación Tecnológica (Fondecyt). This work is a contribution to the cooperative agreement between the Instituto del Mar del Perú (IMARPE) and the Institut de Recherche pour le Developpement (IRD) through the IRD international network GDRI DEXICOTROP.