cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/2439400
title: COMPASS-FME Synoptic Sites Level 1 Sensor Data v1-2

description: This is the version 1-2 Level 1 (L1) data release for COMPASS-FME environmental sensors located at our synoptic field sites. COMPASS-FME is studying sites in two distinct regions, the Chesapeake Bay and the Western Lake Erie Basin. We established the network at seven "synoptic" (observational) sites along the Chesapeake Bay and Lake Erie coastlines, collectively generating over three million observations per month, to track and comprehend environmental changes where land and water intersect. Additionally, the two regions provide an interesting contrast of saltwater and freshwater coasts that allow us to differentiate the impacts of inundation and coastal water chemistries in two nationally important coastal systems.L1 data are close to raw, but are units-transformed and have out-of-instrument-bounds and out-of-service flags added. Duplicates and missing data are removed but otherwise these data are not filtered, and have not been subject to any additional algorithmic or human QA/QC. Any scientific analyses of L1 data should be performed with care. **This dataset will be updated quarterly with new data for the duration of the project**This dataset includes:- An overall dataset README file that describes the current version, gives citation and contact information, etc.- Site- and year-specific folders, each holding up to 12 CSV (comma separated value) data files for each site and plot in that year.- Metadata files within each site-year folder provide full information on data units, expected ranges, contact information, as well as a general description of the site.- Environmental sensor types that appear in the data files include weather (ClimaVUE50, CS, RM Young, and LI instruments in the graphs below); soil conditions (TEROS12); soil redox state (Redox); groundwater variables (AquaTROLL200 and AquaTROLL600); open water sondes (Exo); tree sap velocity (Sapflow); and system voltage and state (Datalogger). Data are normally logged every 15 minutes. Please see v1-2 Synoptic L1 Sensor Package Quick Start.pdf for detailed information on data package structure, temporal coverage, and versioning.
DOI: 10.6084/m9.figshare.28537283
title: Turtle Relocation RAW

description: Data of the post-translocation movement responses of the southwestern snake-necked turtle Chelodina oblonga; an endemic species of southwestern Australia. We radio-tracked 40 of 268 turtles that were relocated from a wetland on an industrial site that was to be infilled for urban development. Turtles were moved into two wetlands and tracked for up to 228 days post-release.
DOI: 10.6084/m9.figshare.28537283.v1
title: Turtle Relocation RAW

description: Data of the post-translocation movement responses of the southwestern snake-necked turtle Chelodina oblonga; an endemic species of southwestern Australia. We radio-tracked 40 of 268 turtles that were relocated from a wetland on an industrial site that was to be infilled for urban development. Turtles were moved into two wetlands and tracked for up to 228 days post-release.
DOI: 10.15468/dl.wk9ejc
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-97.0772 19.53437,-97.01563 19.30862,-96.79672 19.54121,-96.91644 19.6062,-97.0772 19.53437))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paraphidippus aurantius (Lucas, 1833)",
 "Year 2020-2025"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005719-250227182430271/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.28537265
title: Holmes project

description: Cloud data warehousing has become a crucial component of modern analytics, enabling enterprises to store, manage, and process vast amounts of data. However, achieving a balance between performance and cost remains a challenge due to fluctuating workloads and unpredictable resource demands. Dynamic scaling strategies provide an effective solution by adjusting computational and storage resources in real-time based on workload requirements. This article explores various dynamic scaling strategies such as auto-scaling, workload-aware scaling, predictive scaling, and multi-cluster scaling. It also examines the challenges associated with dynamic scaling and presents best practices for achieving optimal cost-performance balance. The adoption of AI-driven scaling mechanisms and cloud-native tools has further enhanced the ability to optimize cloud data warehouse environments, ensuring high efficiency and cost control.
DOI: 10.15468/dl.h9cmjw
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hipposideros lylei Thomas, 1913"
 ]
}

 The dataset includes 76 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005687-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2479200
title: COMPASS-FME Terrestrial Ecosystem Manipulation to Probe the Effects of Storm Treatments (TEMPEST) Experiment Level 1 Sensor Data v1-2

description: This is the version 1-2 Level 1 (L1) data release for COMPASS-FME environmental sensors located at our Terrestrial Ecosystem Manipulation to Probe the Effects of Storm Treatments (TEMPEST) experimental site. This manipulative, ecosystem-scale TEMPEST experiment addresses the potential for freshwater and estuarine-water disturbance events to alter tree function, species composition, and ecosystem processes in a deciduous coastal forest in MD, USA. The experiment uses a large-unit (2000 m2), un-replicated experimental design, with three 50 m × 40 m plots serving as control, freshwater, and estuarine-water treatments.L1 data are close to raw, but are units-transformed and have out-of-instrument-bounds and out-of-service flags added. Duplicates and missing data are removed but otherwise these data are not filtered, and have not been subject to any additional algorithmic or human QA/QC. Any scientific analyses of L1 data should be performed with care. **This dataset will be updated quarterly with new data for the duration of the project**This dataset includes:- An overall dataset README file that describes the current version, gives citation and contact information, etc.- Site- and year-specific folders, each holding up to 12 CSV (comma separated value) data files for each site and plot in that year.- Metadata files within each site-year folder provide full information on data units, expected ranges, contact information, detailed flood times, as well as a general description of the site.- Environmental sensor types that appear in the data files include weather (ClimaVUE50, CS, RM Young, and LI instruments in the graphs below); soil conditions (TEROS12); soil redox state (Redox); groundwater variables (AquaTROLL200 and AquaTROLL600); open water sondes (Exo); tree sap velocity (Sapflow); and system voltage and state (Datalogger). Data are normally logged every 15 minutes.Please see v1-2 TEMPEST L1 Sensor Package Quick Start.pdf for detailed information on data package structure, temporal coverage, and versioning.The TEMPEST flood events occurred on the following dates. They lasted for ~10 hours each day and delivered ~80,000 gallons to each plot; many data streams are available at 1 or 5 minute frequency during these periods.* Tests: Aug 25 (fresh plot) and Sep 9 (salt plot), 2021* TEMPEST 1: June 22, 2022* TEMPEST 2: June 6-7, 2023* TEMPEST 3: June 11-13, 2024
DOI: 10.5519/qd.vcybwn9v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.28532453
title: 12231861@stu.lzjtu.edu.cn

description: Source date：1.Beijing POI data in 20232.Beijing road network data in 20233.Beijing bus station data in 20234.Beijing community and street administrative division data in 20235.Beijing's Weibo user check-in data in February, April, June, and August 20236.Baidu population heat map data on weekdays and weekends in April 2023Source code：1.Identification of functional areas in Beijing2.Multiscale Geographically Weighted Regression Model<br>
DOI: 10.15468/dl.9vxac2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinolophus marshalli Thonglongya, 1973"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005688-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvw5ng
title: Occurrence Download

description: A dataset containing 17117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrobates truncatus (Cope, 1861)"
 ]
}

 The dataset includes 17117 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005720-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-03.3047850/2525990
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047851/2525991
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047853/2525992
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047854/2525993
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047855/2525994
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047857/2525995
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047859/2525996
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047860/2525997
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047862/2525998
title: Data for EMSL Project 51287 from March 2024
DOI: 10.6084/m9.figshare.28537280
title: Data and code for "Navigating the risks and rewards of scavenging in multi-predator, human-impacted landscapes"

description: This repository contains data and code accompanying the paper: CX Cunningham, R Windell, LC Satterfield, AJ Wirsing, TM Newsome, TR Ganz, LR Prugh (2025) Navigating the risks and rewards of scavenging in multi-predator, human-impacted landscapes. <i>Ecology</i>The folder contains two analysis scripts:R script for main analysis ("WPPP scavenging analysis.R")R script containing custom functions used throughout the analysis ("Functions for WPPP scavenging analysis.And four data files that are read my the main R script:Carcass persistence times ("carcassPersistenceData.csv"),Daily index of scavenging activity ("dailyScavengingIndex.csv"),Independent observations of species based on a 30-min period of independence ("independent_obs.csv"), andVigilance of mesopredators ("meso_vigilance.csv")
DOI: 10.25582/data.2024-03.3047863/2525999
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047864/2526000
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047865/2526001
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047866/2526002
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047868/2526003
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047869/2526004
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047870/2526005
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047872/2526006
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047873/2526007
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047874/2526008
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047875/2526009
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047879/2526010
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047880/2526011
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047881/2526012
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047882/2526013
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047883/2526014
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047885/2526015
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047887/2526016
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047888/2526017
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047889/2526018
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047890/2526019
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047891/2526020
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047892/2526021
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047893/2526022
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047894/2526023
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047895/2526024
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047896/2526025
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047897/2526026
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047899/2526027
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047900/2526028
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047903/2526029
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047904/2526030
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047905/2526031
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047906/2526032
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047907/2526033
title: Data for EMSL Project 51287 from March 2024
DOI: 10.15468/dl.5336xb
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucopeza semperi P.L.Sclater, 1876"
 ]
}

 The dataset includes 51 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005690-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-03.3047910/2526034
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047911/2526035
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047912/2526036
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047913/2526037
title: Data for EMSL Project 51287 from March 2024
DOI: 10.6084/m9.figshare.26172568
title: A latest Jurassic to Early Cretaceous syn-collisional trench sequence in central Tibet recorded the role of microcontinents in Lhasa–Qiangtang collision

description: <b>Contents of this file</b><br>Figures S1 to S8<br><b>Additional Supporting Information (Files uploaded separately)</b><br>Captions for Tables S1 to S11
DOI: 10.25582/data.2024-03.3047914/2526038
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047915/2526039
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047917/2526040
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047918/2526041
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047919/2526042
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047922/2526043
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047923/2526044
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047924/2526045
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047925/2526046
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047926/2526047
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047927/2526048
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047928/2526049
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047929/2526050
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047930/2526051
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047931/2526052
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047932/2526053
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047934/2526054
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047935/2526055
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047936/2526056
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047937/2526057
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047939/2526058
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047941/2526059
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047947/2526060
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047949/2526061
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047950/2526062
title: Data for EMSL Project 51287 from March 2024
DOI: 10.15468/dl.3y8c7e
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinolophus monoceros K.Andersen, 1905"
 ]
}

 The dataset includes 600 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005721-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-03.3047952/2526063
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047953/2526064
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047955/2526065
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047956/2526066
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047957/2526067
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047959/2526068
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047960/2526069
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047962/2526070
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047964/2526071
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047965/2526072
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047967/2526073
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047968/2526074
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047969/2526075
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047970/2526076
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047971/2526077
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047973/2526078
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047974/2526079
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047975/2526080
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047977/2526081
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047978/2526082
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047979/2526083
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047980/2526084
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047981/2526085
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047982/2526086
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047983/2526087
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047984/2526088
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047985/2526089
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047986/2526090
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047987/2526091
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047988/2526092
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047989/2526093
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047990/2526094
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047991/2526095
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047992/2526096
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047993/2526097
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047994/2526098
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047995/2526099
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047996/2526100
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047997/2526101
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047998/2526102
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3047999/2526103
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048000/2526104
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048001/2526105
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048002/2526106
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048003/2526107
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048004/2526108
title: Data for EMSL Project 51287 from March 2024
DOI: 10.6084/m9.figshare.23000573.v5
title: vacancydb

description: https://arxiv.org/abs/2205.08366
DOI: 10.25582/data.2024-03.3048005/2526109
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048006/2526110
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048007/2526111
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048008/2526112
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048009/2526113
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048010/2526114
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048011/2526115
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048012/2526116
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048013/2526117
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3048014/2526118
title: Data for EMSL Project 51287 from March 2024