cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ah46sy
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burkina Faso",
 "TaxonKey is Strychnos spinosa Lam."
 ]
}

 The dataset includes 329 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282678-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbzzbz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crossocerus minor Tsuneki, 1990",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219670-220831081235567/datasets/export for details.
DOI: 10.15468/dl.6kmm9e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fumaria muralis Koch",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205370-220831081235567/datasets/export for details.
DOI: 10.15468/dl.pk8sny
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hedysarum ibericum M.Bieb."
 ]
}

 The dataset includes 47 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238198-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m9hb2
title: Occurrence Download

description: A dataset containing 218306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-109000.0",
 "Geometry POLYGON((-90.22717 -20.12119,25.94515 -20.12119,25.94515 68.0854,-90.22717 68.0854,-90.22717 -20.12119))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year 2012-2022"
 ]
}

 The dataset includes 218306 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177866-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kv4r4g
title: Occurrence Download

description: A dataset containing 10081620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10081620 records from 2186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282652-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13147436
title: Binary black-hole simulation SXS:BBH:1386

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.25582/data.2023-05.2813206/2408245
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2777336/2408246
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2810713/2408247
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2711478/2408248
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812608/2408249
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2707766/2408250
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2813061/2408251
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-07.2847010/2408252
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-05.2813556/2408253
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813444/2408254
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2720548/2408255
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-03.2761401/2408256
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-03.2768521/2408257
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2812576/2408258
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813261/2408259
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2812260/2408260
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2708798/2408261
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812474/2408262
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2708844/2408263
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2709352/2408264
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2707817/2408265
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812672/2408266
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2707672/2408267
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2708814/2408268
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-03.2761459/2408269
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-01.2712312/2408270
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812772/2408271
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2768520/2408272
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2813375/2408273
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2707457/2408274
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812452/2408275
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813169/2408276
title: Data for EMSL Project 60569 from May 2023
DOI: 10.15468/dl.hn9pj4
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spatholobus suberectus Dunn"
 ]
}

 The dataset includes 307 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043874-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-03.2766365/2408277
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2812687/2408278
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813616/2408279
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2811509/2408280
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2812350/2408281
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2777416/2408282
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-07.2847106/2408283
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-01.2707785/2408284
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2813191/2408285
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813303/2408286
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2768567/2408287
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-07.2847027/2408288
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-03.2777373/2408289
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2813237/2408290
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2720540/2408291
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812603/2408292
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813286/2408293
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2761549/2408294
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2813156/2408295
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-07.2846957/2408296
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-07.2847019/2408297
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-05.2812756/2408298
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2709338/2408299
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-03.2774839/2408300
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2813175/2408301
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2766370/2408302
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2812518/2408303
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2777323/2408304
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-01.2707606/2408305
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-03.2761550/2408306
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-03.2766445/2408307
title: Data for EMSL Project 60569 from March 2023
DOI: 10.15468/dl.mkt6u4
title: Occurrence Download

description: A dataset containing 1068204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-06-05",
 "EventDate is less than or equal to 2024-07-05",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 1068204 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043872-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-07.2847040/2408308
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-05.2811672/2408309
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2812606/2408310
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2777377/2408311
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-07.2847078/2408312
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-05.2811263/2408313
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2777383/2408314
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-07.2847006/2408315
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-01.2709337/2408316
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-03.2774848/2408317
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-03.2761367/2408318
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2810687/2408319
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2707392/2408320
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812236/2408321
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2708762/2408322
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2709335/2408323
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-03.2761528/2408324
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-01.2720555/2408325
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2813445/2408326
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2811993/2408327
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2761357/2408328
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-01.2712302/2408329
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2707394/2408330
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2708823/2408331
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2712199/2408332
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-07.2847064/2408333
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-01.2707932/2408334
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2810726/2408335
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2774819/2408336
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-07.2847035/2408337
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-01.2711498/2408338
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2811970/2408339
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2761552/2408340
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-03.2777410/2408341
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-03.2768550/2408342
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-01.2707574/2408343
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2707818/2408344
title: Data for EMSL Project 60569 from January 2023
DOI: 10.14279/depositonce-20993
title: Replication Data for: Confined Bicontinuous Microemulsions: Nanoscale Dynamics of the Surfactant Film

description: Data for the Publication of 'Confined Bicontinuous Microemulsions: Nanoscale Dynamics of the Surfactant Film' in Soft Matter. The files are sorted by experiment techniques: neutron spin echo experiments (NSE), dynamic light scattering (DLS), small angle neutron scattering (SANS) and porosimetry. The bicontinuous microemulision is prepared by equal volume parts of D2O and n-octane and a surfactant concentration of 12.84 weight %. The non ionic surfactant C10E4 is used. Controlled pore glasses (CPG) powder serves as porous matrices. CPG with pore diameters of 24, 46 and 112 nm were chosen. The CPG with hydrophilic surface is labeled as CPG-OH and the hydrophobic ones as CPG-CH3. The porosimetry data were obtained by nitrogen adsorption/desorption and Hg intrusion measurements. Each sample was degassed at 90 °C for 24 h to remove impurities. It can be used to characterize the controlled pore glasses (CPG) in terms of specific surface area, pore sizes and distribution. The structure of the CPG and the bicontinuous microemulsion is characterized by SANS data. A q-range from f 5 × 10-4 to 0.6 1/Å was covered. The bulk dynamics of the bicontinuous microemulsion is studied by DLS and NSE. DLS was measured at scattering angles in the range of 40-100° in steps of 10°. NSE data of the bicontinuous microemulsion in bulk and confined in CPGs with three different pore diameters. All samples were measured at 9 different values of the scattering vector q in the range of 0.05-0.122 1/Å. Fourier times up to 240 ns were tested.
DOI: 10.14279/depositonce-20996
title: Simulation Dataset: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily

description: Collective estimation is a variant of collective decision-making, where agents need to achieve consensus on an environmental quantity in a self-organized fashion via social interactions. A particularly challenging scenario is a fully distributed collective estimation with strongly constrained, dynamical interaction networks, for example, encountered in real physical space, where agents need first to explore a spatially distributed feature through movement, then reach consensus, while being able only to communicate with nearby neighbors. Here, collectives face several challenges in achieving precise, consensus estimation, particularly due to complex behaviors emerging from the simultaneous evolution of the interaction network and the agents' opinions. While homophilic networks may facilitate collective estimation in well-connected networks, we show that disproportionate interactions with like-minded neighbors lead to the emergence of echo chambers, preventing collective consensus. Our simulation results confirm that, besides a lack of exposure to attitude-challenging opinions, seeking reaffirming information entraps agents in echo chambers. We propose a generic novel approach based on a Dichotomous Markov Process (DMP) where stubborn mobile agents (called Messengers) connect the disconnected clusters by physically transporting their opinions to other clusters to inform and direct the other agents. We show that diverse collective behaviors arise from the DMP as a switching mechanism. We study a continuum between task specialization with no switching (full-time Messengers), generalization with slow task switching (part-time Messengers), and rapid task switching (short-time Messengers) and its impact on system performance. Our results show that stubborn agents can, in various ways, break the echo chambers and promote consensus in collective opinion.
DOI: 10.25582/data.2023-03.2774866/2408345
title: Data for EMSL Project 60569 from March 2023
DOI: 10.14279/depositonce-21012
title: Flaxseed press cake in texturized vegetable protein: influences on extrusion and product parameters

description: Flaxseed press cake (FS) was mixed with pea protein isolate and low-moisture twin-screw-extruded to valorize the oil production side stream as meat analogue. Water content, FS content, barrel temperature, and throughput were varied in a Box-Behnken design to test these factors’ influences on extrusion parameters (pressure, temperature, specific mechanical energy input, measured in-line), lipid oxidation product, acrylamide, and trans-fatty acid formation (by high performance liquid chromatography and (head-space) gas chromatography mass spectrometry), and mechanical properties of the TVPs (Kramer's shear test, density and diameter determination). Three samples (marked as '+ Toco') were extruded under the same conditions but with the addition of a ascorbyl-palmitate-tocopherol mixture (5 ppm of the oil fraction of the raw material mixture). Volatile lipid oxidation products of the texturized vegetable proteins were measured again after 4, 8, and 24 weeks. The data set is divided into data from extrusion experiments and data about the properties of reference products, i.e. meat and commercial minced meat analogues from texturized vegetable protein.
DOI: 10.25582/data.2023-03.2774828/2408346
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-01.2712313/2408347
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812834/2408348
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-07.2847114/2408349
title: Data for EMSL Project 60569 from July 2023
DOI: 10.6084/m9.figshare.25734273
title: <b>Crustal heterogeneity controls the along-strike segmentation of the northern South China Sea: Insights from scaled analog models</b>

description: The research explores how crustal heterogeneity, resulting from Mesozoic magmatism, controls the structural segmentation within the northern South China Sea (SCS). Utilizing a series of scaled analogue models, the study demonstrates that rheological variations within the lithosphere significantly influenced the differential deformation patterns observed in the northern SCS. The experiments reveal that the northwest segment, characterized by its Mesozoic magmatic arc, underwent more intense deformation compared to the northeast forearc basin zone. Specifically, the lithosphere exhibits necking within the Mesozoic magmatic arc zone, while a gentle thinning is observed in the forearc zone. This result provides experimental evidence that the Mesozoic magmatism controlled the Cenozoic differential thinning of the northern continental margin of the SCS. The study also highlights the importance of reactivated pre-existing fault zone in modulating fault displacements during the extensional phase, acting as a transitional zone between the northwest and northeast segments.
DOI: 10.6084/m9.figshare.25734273.v1
title: <b>Crustal heterogeneity controls the along-strike segmentation of the northern South China Sea: Insights from scaled analog models</b>

description: The research explores how crustal heterogeneity, resulting from Mesozoic magmatism, controls the structural segmentation within the northern South China Sea (SCS). Utilizing a series of scaled analogue models, the study demonstrates that rheological variations within the lithosphere significantly influenced the differential deformation patterns observed in the northern SCS. The experiments reveal that the northwest segment, characterized by its Mesozoic magmatic arc, underwent more intense deformation compared to the northeast forearc basin zone. Specifically, the lithosphere exhibits necking within the Mesozoic magmatic arc zone, while a gentle thinning is observed in the forearc zone. This result provides experimental evidence that the Mesozoic magmatism controlled the Cenozoic differential thinning of the northern continental margin of the SCS. The study also highlights the importance of reactivated pre-existing fault zone in modulating fault displacements during the extensional phase, acting as a transitional zone between the northwest and northeast segments.
DOI: 10.25582/data.2023-01.2709369/2408350
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-01.2720544/2408351
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812386/2408352
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813252/2408353
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2761371/2408354
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2813418/2408355
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-05.2813573/2408356
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2707447/2408357
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-07.2847036/2408358
title: Data for EMSL Project 60569 from July 2023
DOI: 10.25582/data.2023-03.2777328/2408359
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-03.2761386/2408360
title: Data for EMSL Project 60569 from March 2023
DOI: 10.15468/dl.4zvpda
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cypripedium elegans Rchb.f."
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043876-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2813321/2408361
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-03.2761368/2408362
title: Data for EMSL Project 60569 from March 2023
DOI: 10.25582/data.2023-05.2812565/2408363
title: Data for EMSL Project 60569 from May 2023
DOI: 10.25582/data.2023-01.2707428/2408364
title: Data for EMSL Project 60569 from January 2023
DOI: 10.25582/data.2023-05.2812527/2408365
title: Data for EMSL Project 60569 from May 2023