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hybrid · semantic + lexical · 864 datasets ranked · 1.27s

Structuretensor260tabular19composite7modal5
Depthcataloged573measured291
Licenseopen576unknown273non commercial10share alike5
Accessopen864
Formatcsv305netcdf300docx255pdf113zip100
Sourcezenodo601erddap-coastwatch-central-sst200erddap-pacioos-sst32erddap-coastwatch-sst28
clear
21-40 of 864sortrelevancemeasured firstqualitysize
modal

Coding reliability dataset for: Representation-to-AI Transformation in K–12 Generative AI Learning: A Theory-Building Systematic Review of Semantic Transformation Mechanisms

0.00
xlsx66
tar21
tsv20
png17
fits15
gzip14
shapefile11
tiff10
parquet9
jpeg8
bzip25
geojson5
rar4
geopackage3
npy3
fasta2
torch2
hdf51
sqlite1
vcf1
xls1
zenodo-bio3

Jungmyoung, Son · Sihoon, Lee · Jiyeon, Hong

3 files · 20 KB · docx, xlsx

This dataset provides the complete double-coding matrix, PRISMA 2020 checklist, and search strategy supporting the systematic review "Representation-to-AI Transformation in K-12 Generative AI Learning: A Theory-Building Systematic Review of Semantic Transformation Mechanisms." It includes: (1) study-level tier classification (Core/Supporting/Context) for two independent coders and consensus tier for all 18 included studies; (2) the full semantic transformation unit (STU) coding matrix (18 studies x 10 STUs = 180 cells) with pre-consensus and consensus scores; (3)evidence-weighting consensus scores; (4) inter-rater reliability statistics (Cohen's kappa); (5) the completed PRISMA 2020 checklist; and (6) the full database-specific Boolean search strategy.

open·CC-BY-4.0·Zenodo·completeSource
modal

Dataset For "AUDIT TRANSPARANSI INFORMED CONSENT: ANALISIS KEPATUHAN KEBIJAKAN PRIVASI PLATFORM LAYANAN STREAMING VIDEO (OVER-THE-TOP) DI INDONESIA TERHADAP UU PDP NOMOR 27 TAHUN 2022"

0.00

Putri Lenggo Genni · Tavasya Alia Anjani · Muhammad Fasha Asshofa

3 files · 2.8 MB · csv, pdf, xlsx

open·CC-BY-4.0·Zenodo·completeSource
tabular

Data for "Scalable high-fidelity and near-deterministic preparation of large photon-number states"

0.00

Xiong, Mo · Xue, Ming

501 rows × 2 cols · 16 KB · csv

2 numeric

open·CC-BY-4.0·Zenodo·0% null·completeSource
tabular

Data for 'Distinct swimming behaviours in pupae of Aedes, Anopheles, and Culex mosquitoes'

0.00

Drerup, Christian

8,000 rows × 9 cols · 511 KB · csv

5 numeric · 4 categorical

open·CC-BY-4.0·Zenodo·0% null·completeSource
tabular

Immersive cultural experiences in Valencian Community, Spain

0.00

LI, Chuan

200 rows × 5 cols · 28 KB · csv

4 categorical · 1 text

open·CC-BY-4.0·Zenodo·80% null·completeSource
tensor

Sea Surface Temperature Anomaly, NOAA Coral Reef Watch Daily Global 5km Satellite SST Anomaly, 1985-present, Daily

0.00

1 files · 29 KB · netcdf

NOAA Coral Reef Watch (v3.1 CoralTemp) Daily Global 5km Satellite Sea Surface Temperature Anomaly. This is a product of NOAA Coral Reef Watch Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature_anomaly (degree_C) mask (pixel characteristics flag array, pixel_classification)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, Multi-Sensor AVHRR and VIIRS Composite, U.S. East Coast 1km, Level 3, 2006-present, 7-Day

0.00

1 files · 15 KB · netcdf

7-day average sea surface temperature (SST) from the AVHRR and VIIRS instruments aboard the NOAA and MetOp satellites, 2006-present, is generated by NOAA/NESDIS/STAR using the Advanced Clear-Sky Processor for Oceans (ACSPO) processing system. Only nighttime overpasses are used and composited into daily mean grids (~830 m), then the daily composite grids are averaged into gridded 7-day temperature averages. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr-viirs_sst.php cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][level][latitude][longitude]): sst (sea_surface_subskin_temperature, degree_C)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, Multi-Sensor AVHRR and VIIRS Composite, U.S. East Coast 1km, Level 3, 7-Day Climatology 2007-2025

0.00

1 files · 16 KB · netcdf

Climatological 7-day average sea surface temperature (SST) from 2007 to 2025, i.e. there are 52 7-day periods each representing a 2007-2025 mean SST for that period. The 18-year period for averaging begins May 21, 2007 and ends May 20, 2025. Data are merged from the AVHRR and VIIRS instruments aboard the NOAA and MetOp satellites. SST is generated by NOAA/NESDIS/STAR using the Advanced Clear-Sky Processor for Oceans (ACSPO) processing system. Only nighttime overpasses are used and composited into daily mean grids (~830 m), then the daily composite grids are averaged into gridded 7-day temperature averages. Finally, the 18-year climatological average for each 7-day period is averaged from the 7-day files. More info: https://eastcoast.coastwatch.noaa.gov/cw_avhrr-viirs_sst.php cdm_data_type = Grid VARIABLES (all of which use the dimensions [sevenDayPeriodOfYear][level][latitude][longitude]): sst (sea_surface_subskin_temperature, degree_C)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Annually Composited 1km East Coast EEZ, 2003-2021

0.00

1 files · 16 KB · netcdf

Jet Propulsion Laboratory data from a local source. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][level][latitude][longitude]): sst (Analysed SST with land and ice masks applied, degree_C)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Daily 1km East Coast EEZ, 2003-2021

0.00

1 files · 15 KB · netcdf

Jet Propulsion Laboratory SST MUR data from a local source. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][level][latitude][longitude]): sst (Analysed SST with land and ice masks applied, degree_C)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, Multi-scale Ultra-high Resolution (MUR JPL), Monthly Composited East Coast EEZ 1km, 2003-2021

0.00

1 files · 15 KB · netcdf

Jet Propulsion Laboratory data from a local source. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][level][latitude][longitude]): sst (Analysed SST with land and ice masks applied, degree_C)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, NOAA Coral Reef Watch Daily Global 5km Satellite SST (CoralTemp), 1985-present, Daily

0.00

1 files · 30 KB · netcdf

NOAA Coral Reef Watch Daily (v3.1) Global 5km Satellite Sea Surface Temperature (CoralTemp). CoralTemp is derived from three different but related 5km daily gap-free SST data sets and provides an internally consistent SST product that stretches from 1985 to present: Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Sea Surface Temperature Reanalysis (1985-2002), Geo-Polar Blended Night-only Sea Surface Temperature Reanalysis (2002-2016), Geo-Polar Blended Night-only Sea Surface Temperature Near Real-Time (2017 to present). cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): analysed_sst (analysed sea surface temperature, degree_C) sea_ice_fraction (1)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea Surface Temperature, S-NPP VIIRS, Near Real-Time, Daily Merge, ~1km, Gulf of America (mercator)

0.00

1 files · 13 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visible and Infrared Imager/Radiometer Suite (VIIRS) sensor cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][altitude][rows][cols]): l2p_flags swath_latitude (Latitude, degrees_north) swath_longitude (Longitude, degrees_east) sea_surface_temperature (sea surface subskin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) graphics (graphics overlay planes)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO Kelvin)

0.00

1 files · 17 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, kelvin) sses_standard_deviation (kelvin) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO Kelvin)

0.00

1 files · 17 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, kelvin) sses_bias (SSES bias estimate, kelvin) sses_standard_deviation (kelvin) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near Real-time, Daily (L3S-LEO Kelvin)

0.00

1 files · 17 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, kelvin) sses_bias (SSES bias estimate, kelvin) sses_standard_deviation (kelvin) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, AM Day-time (L3S-LEO degrees C)

0.00

1 files · 40 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/OSPO office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, AM Night-time (L3S-LEO degrees C)

0.00

1 files · 40 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/OSPO office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, Daily (L3S-LEO degrees C)

0.00

1 files · 17 KB · netcdf

Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (sea surface sub-skin temperature, degree_C) sses_bias (SSES bias estimate, degree_C) sses_standard_deviation (degree_C) l2p_flags l3s_flags sst_count (Count of input L3U SST pixels) quality_level (quality level of SST pixel) sst_source (Source of major (highest weight) contribution to sst) satellite_zenith_angle (degrees) dt_analysis (deviation from SST reference, kelvin) sea_ice_fraction (1) wind_speed (m s-1) sst_dtime (time difference from reference time, seconds) measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds) sst_gradient_magnitude (SST gradient magnitude value, kelvin/km) sst_front_position (Binary SST front position indicator)

open·-·erddap-coastwatch-central-sst·completeSource
tensor

SST and SST Anomaly, NOAA Global Coral Bleaching Monitoring, 5km, V.3.1, Monthly, 1985-Present

0.00

1 files · 19 KB · netcdf

This is a product of NOAA Coral Reef Watch Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite, derived from CoralTemp v1.0. cdm_data_type = Grid VARIABLES (all of which use the dimensions [time][latitude][longitude]): sea_surface_temperature (analysed sea surface temperature, degree_C) mask (Pixel characteristics flag array, pixel_classification) sea_surface_temperature_anomaly (degree_C)

open·-·erddap-coastwatch-sst·completeSource
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