cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15136426
title: Repository: Quantitative Evaluation of the delta-Eddington, Hapke, and Shkuratov Models for Predicting the Albedo and Inferring the Grain Radius of Ice

description: This repository contains:

1. Measured Spectral Albedos from Dadic et al. (2013)

a) dadic_ssa_3_8_full: Measured spectral albedo of firn with Specific Surface Area (SSA) 3.8 m^2/kgb) dadic_ssa_1_9_full: Measured spectral albedo of firn with SSA 1.9 m^2/kgc) dadic_ssa_0_39_full.csv: Measured spectral albedo of ice with SSA 0.39 m^2/kg

2. Modeled Spectral Albedos using Measured SSA from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_Icarus: delta-Eddington    ii) data_860μm_poro27_diffuse_Icarus: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_Icarus: delta-Eddington    ii) data_1721μm_poro15_diffuse_Icarus: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_Icarus: delta-Eddington    ii) data_8842μm_poro5_diffuse_Icarus: Hapke and Shkuratov

3. Modeled Spectral Albedos using Inferred SSA from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_Est_Radius_Icarus: delta-Eddington    ii) data_860μm_poro27_diffuse_Est_Radius_Icarus_RE_2: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_Est_Radius_Icarus: delta-Eddington    ii) data_1721μm_poro15_diffuse_Est_Radius_Icarus_RE_2: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_Est_Radius_Icarus: delta-Eddington    ii) data_8842μm_poro5_diffuse_Est_Radius_Icarus_RE_2: Hapke and Shkuratov

4. Modeled Single-Scattering Albedos from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_w_Icarus: delta-Eddington    ii) ssa_data_860μm_poro27_diffuse_Icarus: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_w_Icarus: delta-Eddington    ii) ssa_data_1721μm_poro15_diffuse_Icarus: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_w_Icarus: delta-Eddington    ii) ssa_data_8842μm_poro5_diffuse_Icarus: Hapke and Shkuratov

5. Modeled Asymmetry Parameters from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_g_Icarus: delta-Eddington    ii) data_860μm_poro27_diffuse_g_data_Icarus: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_g_Icarus: delta-Eddington    ii) data_1721μm_poro15_diffuse_g_data_Icarus: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_g_Icarus: delta-Eddington    ii) data_8842μm_poro5_diffuse_g_data_Icarus: Hapke and Shkuratov

6. Wavelengths used Wavelengths
DOI: 10.5281/zenodo.15136427
title: Repository: Quantitative Evaluation of the delta-Eddington, Hapke, and Shkuratov Models for Predicting the Albedo and Inferring the Grain Radius of Ice

description: This repository contains:

1. Measured Spectral Albedos from Dadic et al. (2013)

a) dadic_ssa_3_8_full: Measured spectral albedo of firn with Specific Surface Area (SSA) 3.8 m^2/kgb) dadic_ssa_1_9_full: Measured spectral albedo of firn with SSA 1.9 m^2/kgc) dadic_ssa_0_39_full.csv: Measured spectral albedo of ice with SSA 0.39 m^2/kg

2. Modeled Spectral Albedos using Measured SSA from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_Icarus: delta-Eddington    ii) data_860μm_poro27_diffuse_Icarus: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_Icarus: delta-Eddington    ii) data_1721μm_poro15_diffuse_Icarus: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_Icarus: delta-Eddington    ii) data_8842μm_poro5_diffuse_Icarus: Hapke and Shkuratov

3. Modeled Spectral Albedos using Inferred SSA from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_Est_Radius_Icarus: delta-Eddington    ii) data_860μm_poro27_diffuse_Est_Radius_Icarus_RE_2: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_Est_Radius_Icarus: delta-Eddington    ii) data_1721μm_poro15_diffuse_Est_Radius_Icarus_RE_2: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_Est_Radius_Icarus: delta-Eddington    ii) data_8842μm_poro5_diffuse_Est_Radius_Icarus_RE_2: Hapke and Shkuratov

4. Modeled Single-Scattering Albedos from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_w_Icarus: delta-Eddington    ii) ssa_data_860μm_poro27_diffuse_Icarus: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_w_Icarus: delta-Eddington    ii) ssa_data_1721μm_poro15_diffuse_Icarus: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_w_Icarus: delta-Eddington    ii) ssa_data_8842μm_poro5_diffuse_Icarus: Hapke and Shkuratov

5. Modeled Asymmetry Parameters from Khuller & Emran (2025)

a) Firn with SSA 3.8 m^2/kg    i) dE_860μm_diffuse_g_Icarus: delta-Eddington    ii) data_860μm_poro27_diffuse_g_data_Icarus: Hapke and Shkuratov

b) Firn with SSA 1.9 m^2/kg    i) dE_1721μm_diffuse_g_Icarus: delta-Eddington    ii) data_1721μm_poro15_diffuse_g_data_Icarus: Hapke and Shkuratov

c) Ice with SSA 0.39 m^2/kg    i) dE_8842μm_diffuse_g_Icarus: delta-Eddington    ii) data_8842μm_poro5_diffuse_g_data_Icarus: Hapke and Shkuratov

6. Wavelengths used Wavelengths
DOI: 10.15468/dl.6hgjtn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys Parr, 1953",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.0031 -15.9691,43.978 -16.1504,44.9648 -16.1504,44.9648 -15.5455,44.7261 -15.708,44.2309 -15.7446,44.0031 -15.9691))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012180-250525065834625/datasets/export for details.
DOI: 10.15468/dl.26ku25
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys Parr, 1953",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.6841 -13.2744,44.9648 -13.45,44.9648 -12.0572,44.6243 -11.5921,43.9413 -11.6518,43.8001 -11.0974,43.4999 -10.8854,43.0582 -10.9337,42.804 -11.2068,42.7621 -11.9579,43.3325 -12.7962,44.5603 -12.8747,44.6841 -13.2744))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012181-250525065834625/datasets/export for details.
DOI: 10.15468/dl.muw3fc
title: Occurrence Download

description: A dataset containing 142101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Avena fatua L."
 ]
}

 The dataset includes 142101 records from 1751 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012160-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5r5rng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lariscus insignis (F.Cuvier, 1821))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016272-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ybm3sz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lariscus insignis (F.Cuvier, 1821))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016273-250525065834625/datasets/export for details.
DOI: 10.15468/dl.n26vjq
title: Occurrence Download

description: A dataset containing 109762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia artemisiifolia",
 "Year 1900-2024"
 ]
}

 The dataset includes 109762 records from 748 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035150-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjttsz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moapa coriacea",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035188-251025141854904/datasets/export for details.
DOI: 10.15468/dl.h5c3r9
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.2688 24.44913, -108.1188 24.44913, -108.1188 24.59913, -108.2688 24.59913, -108.2688 24.44913))"
 ]
}

 The dataset includes 30 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035189-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17615934
title: Empirical Intervention Study on Pre-Service Teachers' Preparation for EdTech Integration: Exploration of Mixed Methods Strategies in the AI Era
DOI: 10.5281/zenodo.17615935
title: Empirical Intervention Study on Pre-Service Teachers' Preparation for EdTech Integration: Exploration of Mixed Methods Strategies in the AI Era
DOI: 10.5281/zenodo.17615933
title: Resonance duality

description: Title: Resonance Projection Duality and the k=50 Container Key: A Geometric Interpretation of Dimensional Bleed-Through

Version: 2.0

Authors: Hanlon III, James C.

Description: This paper derives a resonance projection ladder from first principles using geometric gap counting and a 10 Hz Reality Projection (RP) pulse. The framework yields integer resonance keys k = {70, 50, 30, 10} for dimensional containers and their projections through the sequence 4D→3D→2D→1D→0D. The N = 3 axiom anchors an infinite, symmetric chain of containers, with k = 50 serving as the phase-matching condition for bleed-through between adjacent 3D shadows. The model predicts observational signatures in gravitational waves, spectral lines, and atomic-clock drifts. Planck-scale consistency checks and entropy scaling are provided in an appendix.

Keywords: resonance cosmology, dimensional projection, N=3 axiom, k=50 chain, 10 Hz RP pulse, geometric gap counting, entropy scaling, LIGO, JWST, atomic clock drift, Planck units

License: CC-BY-4.0

Related identifiers: isNewVersionOf https://doi.org/10.5281/zenodo.17512607
DOI: 10.5281/zenodo.17615936
title: SMILES Biohack 2025 Munich

description: This is a part of biohack 2025 Munich Hackathon. Reproduction of https://www.nature.com/articles/s41592-025-02781-5 and https://www.nature.com/articles/s41467-018-06500-x papers with additional data cleaning and EDA.
DOI: 10.5281/zenodo.17615817
title: ASSR: Multimodal Any-Scale Super-Resolution via Physics-Aligned Degradation and Early Text-Guided Fusion
DOI: 10.5281/zenodo.17615818
title: ASSR: Multimodal Any-Scale Super-Resolution via Physics-Aligned Degradation and Early Text-Guided Fusion
DOI: 10.15468/dl.rrj2dw
title: Occurrence Download

description: A dataset containing 2154300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tringa flavipes",
 "Year 1000-2025"
 ]
}

 The dataset includes 2154300 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035151-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmjwxg
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.1188 24.44913, -107.9688 24.44913, -107.9688 24.59913, -108.1188 24.59913, -108.1188 24.44913))"
 ]
}

 The dataset includes 52 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035192-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17573818
title: Dataset used in "A branch-and-cut algorithm for the one-commodity pickup and delivery location routing problem"

description: Data set use in: 

Bencomo Domínguez-Martín, Hipólito Hernández-Pérez, Jorge Riera-Ledesma, Inmaculada Rodríguez-Martín,A branch-and-cut algorithm for the one-commodity pickup and delivery location routing problem,Computers & Operations Research, 161, 106426 (2024).https://doi.org/10.1016/j.cor.2023.106426.
DOI: 10.5281/zenodo.17573819
title: Dataset used in "A branch-and-cut algorithm for the one-commodity pickup and delivery location routing problem"

description: Data set use in: 

Bencomo Domínguez-Martín, Hipólito Hernández-Pérez, Jorge Riera-Ledesma, Inmaculada Rodríguez-Martín,A branch-and-cut algorithm for the one-commodity pickup and delivery location routing problem,Computers & Operations Research, 161, 106426 (2024).https://doi.org/10.1016/j.cor.2023.106426.
DOI: 10.15468/dl.qym5mf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moenkhausia sanctaefilomenae",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035191-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17615821
title: Underwater images collected by an No key for platform in Ilot-Sancho, Mauritius - 2019-05-22

description: This dataset was collected by an No key for platform in Ilot-Sancho, Mauritius - 2019-05-22. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17615915
title: Underwater images collected by an No key for platform in Ilot-Sancho, Mauritius - 2019-05-22

description: This dataset was collected by an No key for platform in Ilot-Sancho, Mauritius - 2019-05-22. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.judm86
title: Occurrence Download

description: A dataset containing 40868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliptamus italicus"
 ]
}

 The dataset includes 40868 records from 1151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035193-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuqrdy
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.29_2)",
 "StateProvince is one of (sucre)",
 "TaxonKey is one of (Acanthaceae)"
 ]
 }
 ]
}

 The dataset includes 170 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010022-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/395ae43e6bd7d7e9ba29912b52b7863b
title: Daily summarized seasonal measurements of discharge, water temperature, and specific conductivity from Adams Stream at M1, McMurdo Dry Valleys, Antarctica (2018-2023, ongoing)

description: As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This package contains daily summaries derived from 15-minute measurements of water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the daily hydrological summaries for the McMurdo Dry Valleys' Adams Stream at the M1 streamgage, located in Miers Valley. Measurements commenced during the 2018-19 season. This dataset extends through the first half of the 2022-23 field season.