cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.mvky47
title: Advancing Global Precipitation Data Products: Recommendations from the International Precipitation Working Group

description: Recognizing the future needs for global precipitation data products, the Coordination Group for Meteorological Satellites (CGMS) and the World Meteorological Organization (WMO) formed the International Precipitation Working Group (IPWG) in 2000 (Turk and Bauer 2006; Kidd et al. 2010; Huffman and Klepp 2011; Kucera and Lapeta 2014). IPWG joined other CGMS science working groups, with user workshops hosted every other year, with discussion centered in working groups and focus groups (Table 1). IPWG provides a forum for operational and research users of satellite precipitation measurements to exchange information on methods for inferring space-borne precipitation, and to assess their impact in numerical weather and hydrometeorological prediction and climate studies. Since its inception, the IPWG membership has expanded rapidly to its present ~500 members.This 11th Workshop of the IPWG was hosted by the Earth Observation Research Center of the Japanese Aerospace Exploration Agency (EORC/JAXA), whose overall objectives were threefold: (1) To review the state of the art of rainfall and snowfall, high-latitude precipitation measurement techniques and discuss remaining challenges, (2) to discuss the application of satellite precipitation products for research and operations, and (3) to recommend future directions to WMO, CGMS, the Global Energy and Water Exchange (GEWEX) program, and to the Committee on Earth Observations (CEOS). Selected topics from each session are summarized, and key recommendations related to these three objectives.
DOI: 10.48577/jpl.aahjsx
title: Evidence for a volcanic atmosphere on the sub-Earth L 98-59 b

description: Assessing the prevalence of atmospheres on rocky planets around M-dwarf stars is a top priority of exoplanet science. High-energy activity from M-dwarfs can destroy the atmospheres of these planets, which could explain the lack of atmosphere detections to date. Volcanic outgassing has been proposed as a mechanism to replenish the atmospheres of tidally-heated rocky planets. L 98-59 b, a sub-Earth transiting a nearby M dwarf, was recently identified as the most promising exoplanet to detect a volcanic atmosphere. We present the transmission spectrum of L 98-59 b from four transits observed with JWST NIRSpec G395H. Although the airless model provides an adequate fit to the data based on its χ 2 , an SO2 atmosphere is preferred by 3.6σ over a flat line in terms of the Bayesian evidence. Such an atmosphere would likely be in a steady state where volcanism balances escape. If so, L 98-59 b must experience at least eight times as much volcanism and tidal heating per unit mass as Io. If volcanism is driven by runaway melting of the mantle, we predict the existence of a subsurface magma ocean in L 98-59 b extending up to Rp „ 60 ´ 90%. An SO2 -rich volcanic atmosphere on L 98-59 b would be indicative of an oxidized mantle with an oxygen fugacity of fO2 ą IW`2.7, and it would imply that L 98-59 b must have retained some of its volatile endowment despite its proximity to its star. Our findings suggest that volcanism may revive secondary atmospheres on tidally heated rocky planets around M-dwarfs.
DOI: 10.48577/jpl.0jomml
title: The Imminent Data Desert: The Future of Stratospheric Monitoring in a Rapidly Changing World

description: The Atmospheric Chemistry Experiment-Fourier Transform Spectrometer (ACE-FTS) on SCISAT-1 and the Microwave Limb Sounder (MLS) on NASA’s Aura satellite have contributed significantly to understanding the impacts of human activities on the stratospheric ozone layer. The two-decade-long data record from these instruments has allowed quantification of ozone depletion caused by human-released chlorofluorocarbons (CFCs) and other ozone-depleting substances (ODSs), the effects of extreme natural events like major volcanic eruptions including Hunga in 2022, as well as events amplified by human-caused climate change, such as wildfires that injected material into the stratosphere, as happened over Australia in late 2019 and early 2020. Both platforms are nearing the end of their operational lifetimes, and their decommissioning will cause a substantial gap in the measurement of critical atmospheric components, including water vapor, inorganic chlorine species, and tracers of stratospheric transport. This upcoming "data desert" poses significant challenges for monitoring the recovery of the ozone layer and assessing the effects of future extreme events on stratospheric composition. The lack of confirmed future missions that can provide daily near-global profile measurements of these stratospheric gases highlights the need for new observational strategies to bridge this impending gap. This paper discusses the essential role of ACE-FTS and MLS in advancing our understanding of the stratosphere, the impact of data loss after their decommissioning, and the urgency of developing strategies for mitigating the impacts of these observational losses at a time marked by dramatic changes in the stratosphere due to both natural and human factors.
DOI: 10.48577/jpl.rfppfk
title: Exploring the Dark

description: No abstract available.
DOI: 10.48577/jpl.movwle
title: Utilizing Open Loop Reception to Assess the Impact of Solar Interference on the Transmission of Spacecraft Telemetry

description: On November 18, 2023, Mars reached solar conjunction as viewed from Earth, with a minimum Sun-Earth-Mars (SEM) angle of 0.1 degrees. With the SEM angle smaller than usual, this geometry presented a unique opportunity to study the effects of solar plasma on radio signals sent from Mars assets to the Deep Space Network (DSN) on Earth. For a period of two weeks before and after the event, we utilized the Open Loop Receivers (OLRs) at the DSN to record the radio signal from three Mars orbiters: Mars Odyssey (56 tracks), Mars Reconnaissance Orbiter (56 tracks), and MAVEN (24 tracks). The OLR recordings were completely opportunistic in nature—no modifications were made to any of the spacecrafts’ configurations or to the DSN ground stations. As the SEM angle decreased, telemetry from the three orbiters was increasingly corrupted, while the OLR continued to capture a spectrum containing the degraded signal. Additionally, a coronal mass ejection was observed during the study period, with the impact evident in the OLR data. By correlating phase noise from the OLR data with the SEM angle, we map the impact of solar plasma on the transmission of data through the Sun’s corona. The OLRs were also configured to record wide frequency bands, offering a path for telemetry recovery even as the closed loop receiver data were degraded at low SEM angles.
DOI: 10.48577/jpl.mijh6g
title: Recovery of Lipid Biomarkers in Hot Spring Digitate Silica Sinter as Analogs for Potential Biosignatures on Mars: Results from Laboratory and Flight-Like Experiments

description: Digitate siliceous sinter deposits are commonly found in geothermal environments and are thought to form via precipitation from silica-rich fluids, induced by evaporative cooling and microbial activity. Interest in these microstomatolitic sinters has grown over the past decade because of their morphological and mineralogical resemblance to opaline silica-rich rocks discovered on Mars by NASA’s Spirit rover at the Columbia Hills landing site in Gusev crater. However, these deposits remain understudied, specifically in terms of their biosignature content and long-term preservation potential. Opaline silica (opal-A) is found in many geothermal fields on Earth, including the Taupo Volcanic Zone (TVZ) in New Zealand. In this study, six digitate sinter deposits were collected from five TVZ geothermal fields, and their lipid biosignatures were investigated as Mars analogs using current flight techniques. Samples were collected in pools and discharge channels of varied temperatures, pH, and water chemistries. The digitate sinters collected exhibited various morphologies, from spicular to nodular, and all grew at the air-water interface of the studied geothermal sites. Lipids were extracted and quantified, revealing a predominance of biomarkers from microbial lipids and algae from extant and extinct communities. The presence of wax ester lipids in one of the samples (Parariki Stream, Rotokawa geothermal field) revealed the presence of green non-sulfur filamentous anoxygenic phototroph (FAP) cyanobacteria, Chloroflexus and Roseiflexus, typical thermophiles found in polyextreme hydrothermal environments. Temperature, pH, and water chemistry did not seem to affect microbial diversity nor lipid recovery. However, the morphology of the sinters does appear to play a role in the lipid yield, which was higher in the finest spicules in comparison to the knobby digitate sinters studied. The capability of pyrolysis-GC-MS to detect lipid biomarkers was also evaluated in a pilot study of flight conditions simulated in the laboratory on a subset of samples. Lipid detection capability was well correlated to the amount of carbon present in the samples, but pyrolysis can bias interpretation regarding the origin of the lipid biomarkers. Pyrolysis revealed the macromolecular component of some sinters and may have induced chemical reactions between the organic molecules and sulfur-inorganic species present in the samples, therefore obscuring the targeted lipid biomarkers and inducing changes in their carbon number assemblages.
DOI: 10.5066/p1gpdymm
title: Assessment of Submerged Aquatic Vegetation in Lake Michigan Using Down-Looking AUV-Collected Imagery

description: This dataset comprises in situ images of benthic algae collected by an autonomous underwater vehicle (AUV) in Lake Michigan during August and September 2020. The images were annotated, or labeled, to identify specific features for use in machine learning and algorithm development, specifically to train and validate an algorithm for the automated identification and assessment of submerged aquatic vegetation (SAV). The dataset is organized into individual zip files, each corresponding to different collection dates, with the date indicated in the file name. Each zip file contains original images, ground truth binary masks where benthic algae are represented by white pixels and the background by black pixels, and JSON files specifying the coordinates of polygons delineating the algae in each image. Additionally, the metadata associated with these images is accessible in the accompanying metadata spreadsheet. The AUV, a modified L3Harris-OceanServer Iver3, was equipped with a high-performance 9-megapixel CMOS sensor, specifically the Allied Vision Manta G-895C color camera. Advanced sensors and imaging systems onboard the AUV enabled precise navigation and image capture during the survey. In total, over 300 km of lakebed were surveyed by the AUV across thirty sites along the Lake Michigan shoreline. The 4096 x 2176-pixel color images were georeferenced using the AUV's inertial navigation system (INS), which relied on an iXBlue PHINS Compact C3 fiber-optic gyroscope for accurate positioning. Each image was accompanied by recorded parameters, including temperature, altitude, depth, and time. Collectively, these data provide a comprehensive dataset for analyzing and understanding the distribution and dynamics of submerged aquatic vegetation (SAV) in Lake Michigan.
DOI: 10.15468/dl.96rv7z
title: Occurrence Download

description: A dataset containing 5595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Alydus calcaratus (Linnaeus, 1758)",
 "Year 1999-2025"
 ]
}

 The dataset includes 5595 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000448-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqav9a
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 301 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000449-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/n3xc-9577.46
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2025 - January 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.2u96ut
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurytemora affinis affinis"
 ]
}

 The dataset includes 188 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000451-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2k2zxf
title: Occurrence Download

description: A dataset containing 17041 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prionace glauca (Linnaeus, 1758)"
 ]
}

 The dataset includes 17041 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000450-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/rxtv-eb29.82
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2025 - January 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.seqknd
title: Occurrence Download

description: A dataset listing the 5441 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.88121 45.13417,0.92695 45.13417,0.92695 45.93514,0.88121 45.93514,0.88121 45.13417))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 5441 records were derived from 643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000446-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgp452
title: Occurrence Download

description: A dataset containing 1490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Plum pox virus"
 ]
}

 The dataset includes 1490 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000453-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mx5q7
title: Occurrence Download

description: A dataset listing the 5441 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.88121 45.13417,0.92695 45.13417,0.92695 45.93514,0.88121 45.93514,0.88121 45.13417))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 5441 records were derived from 643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000447-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yrqtr
title: Occurrence Download

description: A dataset containing 1100132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1100132 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020076-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0204463.10fu
title: SH0204463.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0204464.10fu
title: SH0204464.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0204465.10fu
title: SH0204465.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0204466.10fu
title: SH0204466.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0204467.10fu
title: SH0204467.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0204468.10fu
title: SH0204468.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.