cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/27119340.v1
title: Data from: Precision, quantitative measurement of sunflower capitulum inclination: a trigonometry-based approach

description: <b>headinclination_allmodels.xlsx:</b>Excel file containing the raw data and calculated angles for sunflower head inclination measurements. This dataset includes:Plot identifiers and location informationPlant measurements (flower height, maturity height, stem length, head height)Calculated values (height difference, incline length)Angle measurements using different methods (trigonometry-based, linear model)<b>supplementarymaterial_angle 20240619.stl:</b>STL file containing a 3D model related to the angle measurement apparatus used in the study.<b>supplementarymaterial_mount 20240619.stl:</b>STL file containing a 3D model of the mounting mechanism used for the measurement apparatus.
DOI: 10.15468/dl.hv32er
title: Occurrence Download

description: A dataset containing 2551021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sordariomycetes"
 ]
}

 The dataset includes 2551021 records from 1697 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010718-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asen8f
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Acanthocyclops americanus (Marsh, 1893)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 360 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008363-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.jh4mso
title: Earthquake cycle model elucidates large earthquake triggering and delay effects along the Southern San Andreas fault by Lake Cahuilla water level change

description: Large earthquakes (M&gt;7) frequently occur along the southern San Andreas fault (SSAF) with a quasi-periodic recurrence interval between about 116 and 221 years over the last millennia, except for the most recent long quiescence (&gt;300 yrs). The SSAF locates beside ancient Lake Cahuilla that experiences periodic inundations and desiccations in historical time. Previous studies suggest a temporal correlation between Lake Cahuilla flooding and SSAF earthquakes, although a direct causal relationship is still in debate. In this study, we developed observationally constrained 3-dimensional fully dynamic earthquake cycle models to explore the influence of hydrologic perturbations associated with Lake Cahuilla on the SSAF earthquakes. We find that the perturbations from water loading, pore-pressure changes and nearby stepover fault movement all contribute to modulating cycle behaviors on the SSAF and perturbations applied at late interseismic stage tend to promote temporal correspondence between earthquakes and Lake Cahuilla high-stands although the simulated events in this study are not able to match all Lake Cahuilla water high-stands history. We also tested the hypothesis whether the prolonged earthquake interval since the last major event can be solely explained by the drought effect approximated through pore-pressure reduction and find an unfeasibly large pore-pressure reduction rate is required to prolong the earthquake interval from less than 200 yrs to more than 300 yrs.
DOI: 10.48577/jpl.w6gioc
title: The ALMA-ATOMS survey: A sample of weak hot core candidates identified through line stacking

description: Hot cores represent critical astrophysical environments for high-mass star formation, distinguished by their rich spectra of organic molecular emission lines. Nevertheless, comprehensive statistical analyses of extensive hot core samples remain relatively scarce in current astronomical research. We aim to utilize high-angular resolution molecular line data from the Atacama Large Millimeter and Submillimeter Array (ALMA) to identify hot cores, with a particular focus on weak-emission candidates, and to provide one of the largest samples of hot core candidates to date. We propose to use spectral stacking and imaging techniques of complex organic molecules (COMs) in the ALMA-ATOMS survey, including line identification & weights, segmentation of line datacubes, resampling, stacking and normalization, moment 0 maps, and data analysis, to search for hot core candidates. The molecules involved include CH3OH, CH3OCHO, C2H5CN, C2H5OH, CH3OCH3, CH3COCH3, and CH3CHO. We classify cores with dense emission of CH3OH and at least one molecule from the other six molecules as hot core candidates. In addition to the existing sample of 60 strong hot cores from the ALMA-ATOMS survey, we have detected 40 new weak candidates through stacking. All hot core candidates display compact emission from at least one of the other six COM species. For the strong sample, the stacking method provides molecular column density estimates that are consistent with previous fitting results. For the newly identified weak candidates, all species except CH3CHO show compact emission in the stacked image, which cannot be fully resolved spatially. These weak candidates exhibit column densities of COMs that are approximately one order of magnitude lower than those of the strong sample. The entire hot core sample, including the weak candidates, reveals tight correlations between the compact emission of CH3OH and other COM species, suggesting they may share a similar chemical environment for COMs, with CH3OH potentially acting as a precursor for other COMs. Among the 100 hot cores in total, 43 exhibit extended CH3CHO emission spatially correlated with SiO and H13CO+, suggesting that CH3CHO may form in widely distributed shock regions. The molecular line stacking technique is used to identify hot core candidates in this work, leading to the identification of 40 new hot core candidates. Compared to spectral line fitting methods, it is faster and more convenient, and allows for greater sensitivity to detect weaker hot cores.
DOI: 10.48577/jpl.8jvrbb
title: Historical Occurrence of and Shift in Snow Drought Drivers in Global Mountain Ranges

description: Snow is a critical form of water storage, but climate change is reducing snowpack and affecting water resources. Snow droughts are periods of abnormally low snowpack that are driven by low precipitation or high temperatures, or both. Globally, we do not have a good understanding of how snow drought drivers have changed over time. Here, we used a multivariate snow drought index to identify the dominant driver of snow droughts between 1980 to 2021 in all global mountain ranges and ones that are highly dependent on winter precipitation for water. We then identified whether those drivers shifted during the study period. Finally, we identified what similarities exist based on climatological areas by using snow classification types, including forest, montane, maritime, tundra, prairie, and ephemeral, as a proxy. We found that in both the Northern and Southern Hemispheres, dry snow droughts (driven by low precipitation) are the most common. Furthermore, in both the Northern and Southern Hemispheres, more mountain range area shifted to having temperature be the main driver of snow droughts in the historical record. In the Northern Hemisphere, dry snow droughts affected the largest amount of area in tundra, boreal, prairie, and ice snow types. In the Southern Hemisphere, warm snow droughts affected the largest amount of area in all snow types except for tundra. This work identified common snow drought drivers and patterns that exist across similar geographical areas (i.e., mountain ranges) and climatological areas and areas that are most vulnerable to warm and dry snow droughts.
DOI: 10.48577/jpl.hgzyct
title: Satellite-Empowered Public Health: Mapping Coastal Fecal Contamination Risks Through Sentinel-2 Particulate Signatures

description: Coastal waters serve as essential ecological habitats, key drivers of the blue economy, and vital resources for public health. However, increasing anthropogenic pressures, coupled with climate-driven perturbations, present significant challenges to microbial water quality. While remote sensing has been widely adopted for assessing physicochemical water quality parameters, its application to microbial indicators remains limited. To evaluate the feasibility of integrating satellite observations into microbial water quality assessments, this study investigated the hypothesis that satellite derived suspended matter concentrations predict levels of fecal indicator bacteria, Escherichia coli (E. coli), which are linked to human health through epidemiological studies. A moderate correlation was observed with the Sentinel-2 derived total suspended matter (SPM) and in situ E. coli concentrations (r=0.73, p&lt;0.001), and the positive correlation was also validated using a historical dataset obtained from the California Water Board. The results indicate that using satellite data for estimating E. coli concentrations in coastal waters is feasible. This approach can enhance the performance and expand the scope of pollution event warning systems, demonstrating the valuable role of satellite data in environmental monitoring and public health protection.
DOI: 10.48577/jpl.mwboie
title: Lifecycle-type Matters for Extratropical Cyclone Precipitation Production

description: In the midlatitudes, extratropical cyclones produce the majority of winter precipitation. Precipitation rates and accumulation depend strongly on both the cyclone intensity and the environmental moisture amount. Using five years of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) product, cyclone-centered composites of surface precipitation rates are compared between cyclones that occlude and those that do not. Occluding cyclones produce greater surface precipitation because they tend to be more intense. When the non-occluding cyclones are selected such that they collectively have similar intensity and moisture amount distributions as the occluding cyclones, precipitation rates at peak intensity are still larger for occluding cyclones. This is because a particular type of forced, frontal-scale, ascent in the occluded thermal ridge, unique to occluded cyclones by virtue of their thermal structure, favors more precipitation. The results demonstrate that life-cycle type (i.e., achieving) occlusion versus not) matters for precipitation production in extratropical cyclones.
DOI: 10.48577/jpl.1fmjgt
title: Toward a Global Planetary Boundary Layer Observing System: A Summary

description: A global Planetary Boundary Layer (PBL) observing system is urgently needed to address fundamental PBL science questions and societal applications related to climate, weather and air quality. Such a PBL observing system should optimally combine emerging yet technically viable space-based observations of the PBL thermodynamic structure with complementary surface-based and suborbital assets, while taking advantage of, and helping improve, climate and weather models, and data assimilation systems. The Earth science community has expressed great interest in improving the characterization of the atmospheric PBL in the recent National Academies of Sciences, Engineering and Medicine (NASEM) 2017-2027 decadal survey for Earth Science and Applications from Space (ESAS 2017). Higher spatial and temporal resolution observations of PBL temperature and water vapor profiles, and of PBL height, were selected as priorities by ESAS 2017, which recommended a PBL mission in its incubation class. In response to ESAS 2017, NASA established the decadal survey incubation program and a PBL study team focused on prioritizing PBL science and technology that would require advancement and development prior to implementation. In this paper, we summarize the NASA PBL study team report.
DOI: 10.48577/jpl.aitr7f
title: Accelerating Radiative Transfer Calculations in the Thermal Infrared Through Principal Component Analysis of Inherent Optical Properties

description: Principal component analysis (PCA) is a linear mathematical transformation that reduces data dimensionality and enables easy identification of data variability; PCA converts a correlated mean-subtracted data set into a series of principal components (PCs). PCA can be performed on inherent optical properties to enhance the computational efficiency of radiative transfer calculations. Prior work has demonstrated the efficacy of this technique for the computation of radiances and Jacobians in the solar scattering regime, and for estimating broadband fluxes. Here, we extend the methodology to the thermal emission regime. We perform simulations for a nominal (model-based) aerosol scattering scenario, and for a scenario with enhanced aerosol scattering that is representative of strong pollution. The PCA-based approach provides top-of-the-atmosphere radiance results that are typically within 0.1% of numerically exact computations, while enabling a three-orders-of-magnitude speedup. We also investigate the accuracy levels achieved using variable numbers of PCs for different gas absorption optical depth regimes. Results show that more PCs are required for optical depths close to unity, while low and high optical depth scenarios can be simulated accurately with only one PC.
DOI: 10.48577/jpl.xdlh39
title: Dynamics and scaling of a small river discharging into the surf zone

description: We use an idealized numerical model to investigate the dynamics and fate of a small river discharging into the surf zone. Our study reveals that the plume reaches a steady state, at which point the combined advective and diffusive freshwater fluxes from the surf zone to the inner shelf balance the river discharge. At steady state, the surf zone is well-mixed vertically due to wave-enhanced vertical diffusion and has a strong cross-shore salinity gradient. The horizontal gradient leads to a cross-shore buoyancy-driven circulation, directed offshore at the surface and onshore near the bottom, which opposes the wave-driven circulation. Using a scaling analysis based on momentum and freshwater budgets, we determine that the steady state alongshore plume extent (𝐿𝑝) and the fraction of river water trapped in the surf zone depend on the ratio of the near-field plume length to the surf zone width (𝐿𝑛 𝑓 /𝐿𝑠𝑧) across a wide range of discharge and wave conditions. This scaling also allows us to predict the residence time and freshwater fraction (or dilution ratio) in the steady-state plume, which range from approximately 0.1 to 10 days and 0.1 to 0.3, respectively. Our findings establish the basic dynamics and scales of an idealized plume in the surf zone, as well as estimates of residence times and dilution rates that may provide guidance to coastal managers.
DOI: 10.15468/dl.cyd6t5
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhus typhina",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010617-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9xz4s
title: Occurrence Download

description: A dataset containing 1102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhus typhina",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1102 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010618-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n33156
title: Kennys Pond pollen dataset

description: Raw data for the Kennys Pond pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3c929
title: Lac Kénogami pollen dataset

description: Raw data for the Lac Kénogami pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.zw29e4
title: Occurrence Download

description: A dataset containing 8 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 (Ambystoma cingulatum)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016579-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aaqxxx
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 (Ambystoma cingulatum)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016581-250802193616735/datasets/export for details.
DOI: 10.21233/n37h1r
title: Kenosee Lake pollen dataset

description: Raw data for the Kenosee Lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.r3x87b
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eviota distigma"
 ]
}

 The dataset includes 439 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016582-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3cxvg
title: Occurrence Download

description: A dataset containing 830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Buddleja albiflora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 830 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016583-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrrn24
title: Occurrence Download

description: A dataset containing 2315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nonnula ruficapilla)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2315 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016584-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n33s7j
title: Marais de Keswick pollen dataset

description: Raw data for the Marais de Keswick pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.5skw2w
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jupiaba iasy)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016585-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8mmm5
title: Occurrence Download

description: A dataset containing 38217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aporia crataegi, Argynnis pandora, Colias croceus, Iphiclides feisthamelii, Issoria lathonia, Leptotes pirithous, Pieris napi, Vanessa cardui, Lampides boeticus, Lycaena phlaeas, Pararge aegeria, Maniola jurtina, Lasiommata megera, Pontia daplidice, Pieris rapae, Celastrina argiolus, Pieris brassicae, Lycaena alciphron, Satyrium esculi, Vanessa atalanta, Coenonympha pamphilus, Pyronia cecilia, Aricia cramera, Polygonia c-album, Pyronia bathseba, Thymelicus sylvestris, Polyommatus icarus, Gonepteryx rhamni, Euchloe crameri, Hipparchia semele, Melitaea didyma, Argynnis paphia, Melitaea deione, Melitaea phoebe, Pyronia tithonus, Hipparchia hermione, Melitaea cinxia, Callophrys rubi, Zerynthia rumina, Melanargia ines, Papilio machaon, Muschampia proto, Thymelicus lineola, Aricia agestis)",
 "Year is greater than or equal to 2015",
 "DecimalLatitude is greater than or equal to 0",
 "DecimalLatitude is less than or equal to 30",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation, Observation)"
 ]
}

 The dataset includes 38217 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016586-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.