cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/fab7855702ffd1269b72131179b2b296
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.15468/dl.wegf3s
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cabomba furcata Schult.fil."
 ]
}

 The dataset includes 937 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006599-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s47y7w
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 97 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006607-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/52ee2c99f6797e25a54452dbc60dd80f
title: Jornada Basin LTER: Wireless meteorological station at NPP C-GRAV site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-GRAV met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.15468/dl.45u9kq
title: Occurrence Download

description: A dataset containing 499565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Capsella bursa-pastoris (L.) Medik.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 499565 records from 2592 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006596-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyx8xk
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-4.47763888888889 56.7401388888889, -2.79986111111111 56.7401388888889, -2.79986111111111 57.4134722222222, -4.47763888888889 57.4134722222222, -4.47763888888889 56.7401388888889))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 627 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010868-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpz798
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alternaria arborescens E.G.Simmons"
 ]
}

 The dataset includes 451 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010869-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17983228
title: MLS-CAPS: Optimising Path Spacing for Mobile Laser Scanning of Vegetation Structure via Completeness Analysis

description: MLS-CAPS: Data and Code for Optimising Mobile Laser Scanning Path Spacing in Vegetation Surveys

This repository contains the datasets and Python code supporting the study “MLS-CAPS: Optimising Path Spacing for Mobile Laser Scanning of Vegetation Structure via Completeness Analysis”, submitted to Methods in Ecology and Evolution.

The repository provides:





Mobile laser scanning (MLS) point cloud datasets collected across three eucalypt forest types in south-eastern Australia (closed forest, open woodland, and sub-alpine woodland), representing a gradient of vegetation structural complexity.




Derived products, including trajectory segments, voxel occupancy grids, digital elevation models (DEMs), canopy height models (CHMs), and completeness decay profiles.




The MLS-CAPS Python workflow, an open-source tool for quantifying how vegetation structural information decays with distance from MLS trajectories and for translating these decay relationships into recommended path spacing for future surveys.



MLS-CAPS implements a data-driven approach in which a dense pilot scan is used as a reference to assess reconstruction completeness for key structural metrics (voxel occupancy, DEM, and CHM) as a function of lateral distance from the scanning path. The workflow enables users to define metric-specific error or completeness thresholds and derive site-specific path spacing rules that account for vegetation structural complexity.

All data and code are provided to support reproducibility, method evaluation, and reuse by researchers and practitioners interested in ecological applications of mobile laser scanning, survey design, and vegetation structure analysis.
DOI: 10.5281/zenodo.17983229
title: MLS-CAPS: Optimising Path Spacing for Mobile Laser Scanning of Vegetation Structure via Completeness Analysis

description: MLS-CAPS: Data and Code for Optimising Mobile Laser Scanning Path Spacing in Vegetation Surveys

This repository contains the datasets and Python code supporting the study “MLS-CAPS: Optimising Path Spacing for Mobile Laser Scanning of Vegetation Structure via Completeness Analysis”, submitted to Methods in Ecology and Evolution.

The repository provides:





Mobile laser scanning (MLS) point cloud datasets collected across three eucalypt forest types in south-eastern Australia (closed forest, open woodland, and sub-alpine woodland), representing a gradient of vegetation structural complexity.




Derived products, including trajectory segments, voxel occupancy grids, digital elevation models (DEMs), canopy height models (CHMs), and completeness decay profiles.




The MLS-CAPS Python workflow, an open-source tool for quantifying how vegetation structural information decays with distance from MLS trajectories and for translating these decay relationships into recommended path spacing for future surveys.



MLS-CAPS implements a data-driven approach in which a dense pilot scan is used as a reference to assess reconstruction completeness for key structural metrics (voxel occupancy, DEM, and CHM) as a function of lateral distance from the scanning path. The workflow enables users to define metric-specific error or completeness thresholds and derive site-specific path spacing rules that account for vegetation structural complexity.

All data and code are provided to support reproducibility, method evaluation, and reuse by researchers and practitioners interested in ecological applications of mobile laser scanning, survey design, and vegetation structure analysis.
DOI: 10.15468/dl.7eudth
title: Occurrence Download

description: A dataset containing 46708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Medicago polymorpha)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46708 records from 794 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073862-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30996703
title: Swell Arrival Time in the Indian Ocean - Matlab Programs

description: Matlab programs used to process data.
DOI: 10.6084/m9.figshare.30996703.v2
title: Swell Arrival Time in the Indian Ocean - Matlab Programs

description: Matlab programs used to process data.
DOI: 10.6084/m9.figshare.30996703.v1
title: Matlab Programs

description: Matlab programs used to process data.
DOI: 10.5281/zenodo.18149072
title: Effect of Aeolian Saltation on Air Flows Using a Sedimentological Richardson Number

description: In aeolian studies, researchers have made significant efforts to examine the feedback of sediment transport on turbulent air flows. This feedback effect is often attributed to the increase in apparent roughness due to aeolian saltation. However, this theory cannot explain the variability of the von Kármán constant, which is thought to be influenced by either thermal or sedimentological stratification. In this study, a first aeolian version of the integrated Richardson number was introduced to quantify saltation-induced sedimentological stratification, and a series of wind-tunnel experiments was conducted to evaluate its effects on air flow. The results indicated that, similar to thermally stable air flows, stronger sedimentological stratifications, as indicated by higher Richardson numbers, led to decreases in streamwise velocity, velocity profile slope, and the apparent von Kármán parameter. However, unlike under thermal stratification, turbulence intensity and the dimensionless Reynolds stress increased with increasing Richardson number. Compared with the sediment transport rate, the Richardson number accounts not only for sediment loading but also for sediment response effects. Therefore, it can be used to quantify the overall effect of aeolian saltation on air flows. By incorporating the air density term, it also has the potential to evaluate the combined effect of thermal stratification and aeolian saltation.
DOI: 10.5281/zenodo.18149071
title: Effect of Aeolian Saltation on Air Flows Using a Sedimentological Richardson Number

description: In aeolian studies, researchers have made significant efforts to examine the feedback of sediment transport on turbulent air flows. This feedback effect is often attributed to the increase in apparent roughness due to aeolian saltation. However, this theory cannot explain the variability of the von Kármán constant, which is thought to be influenced by either thermal or sedimentological stratification. In this study, a first aeolian version of the integrated Richardson number was introduced to quantify saltation-induced sedimentological stratification, and a series of wind-tunnel experiments was conducted to evaluate its effects on air flow. The results indicated that, similar to thermally stable air flows, stronger sedimentological stratifications, as indicated by higher Richardson numbers, led to decreases in streamwise velocity, velocity profile slope, and the apparent von Kármán parameter. However, unlike under thermal stratification, turbulence intensity and the dimensionless Reynolds stress increased with increasing Richardson number. Compared with the sediment transport rate, the Richardson number accounts not only for sediment loading but also for sediment response effects. Therefore, it can be used to quantify the overall effect of aeolian saltation on air flows. By incorporating the air density term, it also has the potential to evaluate the combined effect of thermal stratification and aeolian saltation.
DOI: 10.15468/dl.udtkhn
title: Occurrence Download

description: A dataset containing 169840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anhinga rufa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 169840 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073851-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48322/btns-pp34
title: Kiana (KIAN) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Kiana, AK, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (KIAN), Station Location: (GEO Latitude 67.0, Longitude 199.6), THEMIS EPO/UCLA Network
DOI: 10.48322/5h8z-np37
title: Kilpisjarvi (KIL) Ground-based Vector Magnetic Field (L2) 10.0 s Data

description: Kilpisjarvi, Finland, Ground-based Vector Magnetic Field Level 2 Data, 10.0 s Time Resolution, Station Code: (KIL), Station Location: (GEO Latitude 69.1, Longitude 20.8), IMAGE Network
DOI: 10.48322/25vt-f385
title: Kullorsuaq (KUV) Ground-based Vector Magnetic Field (L2) 1.0 min Data

description: Kullorsuaq, Greenland, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (KUV), Station Location: (GEO Latitude 74.6, Longitude 302.8), DTU Network
DOI: 10.48322/41ah-a907
title: Kodiak (KODK) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Kodiak, AK, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (KODK), Station Location: (GEO Latitude 57.8, Longitude 207.6), THEMIS GBO Network
DOI: 10.48322/bzpw-dj97
title: Kuujjuaq THEMIS Ground-based All Sky Imager; Full Resolution Images.
title: THEMIS-Ground ASF

description: THEMIS Ground All Sky Imager at Kuujjuaq (58.10 deg GLat, 291.60 deg GLong): 256 x 256 pixel full resolution images of auroral oval.  The ASI stations monitor a 170 degree field of view imaging the auroral oval at kilometer resolution.  The ASI is comprised of a fisheye lens and CCD in a stainless steel enclosure topped with a transparent acrylic dome.  The CCD has a resolution of 256 x 256 pixels.  Exposure control ranges from 5 s to 1 ms although the typical data rate is one image every 3 seconds.  Silicone heaters keep the instrument within the nominal temperature range.  During daylight hours a sun shades deploy to protect the CCD.
DOI: 10.48322/qbnj-0002
title: THEMIS GBO All Sky Imager at Kuujjuaq, QC, Canada. ASI Thumbnails Data.
title: THEMIS-Ground AST

description: THEMIS Ground All Sky Imager at Kuujjuaq (58.10 deg GLat, 291.60 deg GLong): 32 x 32 pixel thumbnails for full ASI images.  The ASI stations monitor a 170 degree field of view imaging the auroral oval at kilometer resolution.  The ASI is comprised of a fisheye lens and CCD in a stainless steel enclosure topped with a transparent acrylic dome.  The CCD has a resolution of 256 x 256 pixels.  Exposure control ranges from 5 s to 1 ms although the typical data rate is one image every 3 seconds.  Silicone heaters keep the instrument within the nominal temperature range.  During daylight hours sun shades deploy to protect the CCD.
DOI: 10.48322/y6f6-tk74
title: Kuujjuaq (KUUJ) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Kuujjuaq, QC, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (KUUJ), Station Location: (GEO Latitude 58.3, Longitude 291.8), THEMIS GBO/UCLA Network
DOI: 10.48322/cwz0-sc68
title: La Ronge (LARG) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: La Ronge, SK, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (LARG), Station Location: (GEO Latitude 55.2, Longitude 254.7), Athabasca University Network
DOI: 10.48322/xryx-zv10
title: Kuujjuarapik (KJPK) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Kuujjuarapik, QC, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (KJPK), Station Location: (GEO Latitude 55.3, Longitude 282.2), AUTUMNX Network
DOI: 10.48322/61y4-ae86
title: La Ronge (LRG) Ground-based Vector Magnetic Field (L2) 1.0 s Data

description: La Ronge, SK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (LRG), Station Location: (GEO Latitude 55.2, Longitude 52.5), STEP Polar Network
DOI: 10.48322/6zy4-as95
title: Laurel (LREL) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Laurel, MD, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (LREL), Station Location: (GEO Latitude 39.1, Longitude 283.2), THEMIS GBO Network
DOI: 10.48322/9gpd-8a88
title: Leirvogur (LRV) Ground-based Vector Magnetic Field (L2) 1,0 min Data

description: Leirvogur, Iceland, Ground-based Vector Magnetic Field Level 2 Data, 1,0 min Time Resolution, Station Code: (LRV), Station Location: (GEO Latitude 64.3, Longitude 338.3), LMO Network
DOI: 10.48322/jkfh-p173
title: Lethbridge (LETH) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Lethbridge, AB, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (LETH), Station Location: (GEO Latitude 49.6, Longitude 247.1), Athabasca University Network
DOI: 10.48322/zfgn-je71
title: Linares (LRES) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Linares, Mexico, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (LRES), Station Location: (GEO Latitude 24.9, Longitude 260.5), McMAC Network
DOI: 10.48322/7gkb-9t94
title: Longyearbyen (LYR) Ground-based Vector Magnetic Field (L2) 1.0 min Data

description: Longyearbyen, Norway, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (LYR), Station Location: (GEO Latitude 78.2, Longitude 15.8), TGO Network
DOI: 10.48322/d220-xb50
title: Lovozero (LOZ) Ground-based Vector Magnetic Field (L2) 1.0 min Data

description: Lovozero, Russia, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (LOZ), Station Location: (GEO Latitude 68.0, Longitude 35.0), AARI Network
DOI: 10.48322/e18e-kc57
title: Loysburg (LOYS) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Loysburg, PA, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (LOYS), Station Location: (GEO Latitude 40.2, Longitude 281.6), THEMIS EPO/UCLA Network
DOI: 10.48322/6d38-jb12
title: Lucky Lake (LCL) Ground-based Vector Magnetic Field (L2) 1.0 s Data

description: Lucky Lake, SK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (LCL), Station Location: (GEO Latitude 51.0, Longitude 252.9), STEP Polar Network
DOI: 10.48322/tc23-d740
title: Lyford (LYFD) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Lyford, TX, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (LYFD), Station Location: (GEO Latitude 26.4, Longitude 262.2), McMAC Network
DOI: 10.48322/y7gj-2430
title: Maniitsoq (SKT) Ground-based Vector Magnetic Field (L2) 1.0 min Data

description: Maniitsoq, Greenland, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (SKT), Station Location: (GEO Latitude 65.4, Longitude 307.1), DTU Network
DOI: 10.48322/4dsx-6f90
title: Masi (MAS) Ground-based Vector Magnetic Field (L2) 10.0 s Data

description: Masi, Finland, Ground-based Vector Magnetic Field Level 2 Data, 10.0 s Time Resolution, Station Code: (MAS), Station Location: (GEO Latitude 69.5, Longitude 23.7), IMAGE Network
DOI: 10.48322/cppx-4148
title: McGrath THEMIS Ground-based All Sky Imager; Full Resolution Images.
title: THEMIS-Ground ASF

description: THEMIS Ground All Sky Imager at McGrath (62.95 deg GLat, 204.40 deg GLong): 256 x 256 pixel full resolution images of auroral oval.  The ASI stations monitor a 170 degree field of view imaging the auroral oval at kilometer resolution.  The ASI is comprised of a fisheye lens and CCD in a stainless steel enclosure topped with a transparent acrylic dome.  The CCD has a resolution of 256 x 256 pixels.  Exposure control ranges from 5 s to 1 ms although the typical data rate is one image every 3 seconds.  Silicone heaters keep the instrument within the nominal temperature range.  During daylight hours a sun shades deploy to protect the CCD.
DOI: 10.48322/ep3w-4p06
title: THEMIS GBO All Sky Imager at McGrath, AK. ASI Thumbnails Data.
title: THEMIS-Ground AST

description: THEMIS Ground All Sky Imager at McGrath (62.95 deg GLat, 204.40 deg GLong): 32 x 32 pixel thumbnails for full ASI images.  The ASI stations monitor a 170 degree field of view imaging the auroral oval at kilometer resolution.  The ASI is comprised of a fisheye lens and CCD in a stainless steel enclosure topped with a transparent acrylic dome.  The CCD has a resolution of 256 x 256 pixels.  Exposure control ranges from 5 s to 1 ms although the typical data rate is one image every 3 seconds.  Silicone heaters keep the instrument within the nominal temperature range.  During daylight hours sun shades deploy to protect the CCD.
DOI: 10.48322/h90e-yw44
title: McGrath (MCGR) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: McGrath, AK, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (MCGR), Station Location: (GEO Latitude 63.0, Longitude 204.4), THEMIS GBO/UCLA Network
DOI: 10.48322/0x54-sg48
title: Mekrijarvi (MEK) Ground-based Vector Magnetic Field (L2) 10.0 s Data

description: Mekrijarvi, Finland, Ground-based Vector Magnetic Field Level 2 Data, 10.0 s Time Resolution, Station Code: (MEK), Station Location: (GEO Latitude 62.8, Longitude 31.0), IMAGE Network
DOI: 10.48322/7cw7-xg89
title: Meanook (MEA) Ground-based Vector Magnetic Field (L2) 1.0 s Data

description: Meanook, AB, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (MEA), Station Location: (GEO Latitude 54.6, Longitude 246.7), NRCan Network
DOI: 10.48322/drgc-5b91
title: Muono (MUO) Ground-based Vector Magnetic Field (L2) 10.0 s Data

description: Muono, Finland, Ground-based Vector Magnetic Field Level 2 Data, 10.0 s Time Resolution, Station Code: (MUO), Station Location: (GEO Latitude 68.0, Longitude 23.5), IMAGE Network
DOI: 10.48322/btjs-v428
title: Narsarsuaq THEMIS Ground-based All Sky Imager; Full Resolution Images.
title: THEMIS-Ground ASF

description: THEMIS Ground All Sky Imager at Narsarsuaq (61.16 deg GLat, 314.56 deg GLong): 256 x 256 pixel full resolution images of auroral oval.  The ASI stations monitor a 170 degree field of view imaging the auroral oval at kilometer resolution.  The ASI is comprised of a fisheye lens and CCD in a stainless steel enclosure topped with a transparent acrylic dome.  The CCD has a resolution of 256 x 256 pixels.  Exposure control ranges from 5 s to 1 ms although the typical data rate is one image every 3 seconds.  Silicone heaters keep the instrument within the nominal temperature range.  During daylight hours a sun shades deploy to protect the CCD.
DOI: 10.48322/gkna-v460
title: Nain (NAIN/NAN) Ground-based Vector Magnetic Field (L2) 0.5 s Data

description: Nain, NL, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (NAIN/NAN), Station Location: (GEO Latitude 56.4, Longitude 298.3), MACCS Network
DOI: 10.48322/2gwx-z353
title: NASA Stennis Space Center (BSL) Ground-based Vector Magnetic Field (L2) 1.0 s Data

description: NASA Stennis Space Center, MS, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (BSL), Station Location: (GEO Latitude 30.4, Longitude 270.4), USGS Network