cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.a9cctt
title: Coordinated Space and Ground-Based Monitoring of Accretion Bursts in a Protoplanetary Disk: Establishing Mid-Infrared Hydrogen Lines as Accretion Diagnostics for JWST–MIRI

description: In this paper, we establish and calibrate mid-infrared hydrogen recombination lines observed with JWST as accretion tracers for pre-main-sequence stars that accrete from their circumstellar disks. This work is part of a coordinated, multi-observatory effort that monitored the well-known binary system DQ Tau over three orbital periods, capturing its periodic accretion bursts. In this first paper, we present 9 epochs of MIRI-MRS spectra with near-simultaneous LCO photometry and VLT–X-Shooter spectroscopy. This program caught exceptional accretion variability, spanning almost two orders of magnitude between the peak of the first periastron accretion burst and the following quiescent phases. The MIRI spectra show H I line luminosities that vary in step with the accretion-luminosity time series measured with LCO and X-Shooter. The tight correlation with accretion and the large line widths, now resolved with MIRI, support an accretion-flow origin for mid-infrared H I transitions. Combining these three exceptional datasets, we derive accurate relations between mid-infrared line and accretion luminosities for three H I transitions (10-7, 7-6, 8-7). These new relations equip the community with a direct measurement of the accretion luminosity from MIRI-MRS spectra. A MIRI-derived accretion luminosity is fundamental for time-domain chemistry studies, as well as for studies of accretion in embedded/distant sources that are currently inaccessible in the optical. With these new relations, we provide accretion luminosities for an archival sample of 38 MRS spectra of protoplanetary disks published to date.
DOI: 10.48577/jpl.gpwf6u
title: Bar-built Estuary Breach Detection with Remote Sensing: An Automated Tool to Inform Management Practices

description: Bar-built estuaries (BBEs) are dynamic habitats that are subject to a number of natural factors (precipitation, tidal influence, sediment transport, etc.) and anthropogenic factors (run-off, managed breaches, etc.) that influence their environmental state. While informed management requires an understanding of these factors and their seasonal patterns, documenting estuary conditions is challenging due to a limited capacity for in situ monitoring. To better understand seasonal changes in estuaries, this research used satellite remote sensing to examine estuary mouth state and inundation extent. We used Sentinel-2 MultiSpectral Instrument (MSI) and Sentinel-1 C-band Synthetic Aperture Radar (C-SAR) to develop the California Estuary Assessment (CEA) tool in Google Earth Engine. The Sentinel-1 C-SAR and the Sentinel-2 MSI-derived Normalized Difference Water Index captured estuary mouth state, in terms of opened or closed, and inundation extent. We then compared estuary mouth state and inundation extent seasonally. The Navarro River Estuary exhibited much more frequent closed mouth state observations (70% of all observations) compared to the Russian River (26% of all observations). Inundation patterns also varied between the estuaries and between seasons—at Navarro River, lowest and highest inundation values occurred in summer (71.5% of maximum inundation extent) and spring (75.8%), respectively, while at Russian River the lowest and highest values occurred in summer (68.3%) and fall (86.2%), respectively. Furthermore, inundation extent varied significantly more in fall at Navarro River, and in spring and summer at Russian River. Our findings reveal substantial seasonal differences between BBEs that highlight the importance of monitoring individual systems.
DOI: 10.48577/jpl.6atrbu
title: Evaluation of Graphite/h-BN Bimaterials for Electric Propulsion

description: The performance of an innovative dielectric bimaterial is assessed for use in Hall-effect thrusters. The bimaterial consists of a structural body of graphite with a converted surface layer of hexagonal boron nitride (h-BN). The bimaterial couples the dielectric behavior and low emissivity of h-BN at its surface, with the thermal shock resistance and machinability of graphite at its core. In this paper, the performance of graphite/h-BN bimaterials synthesized from liquid-phase and vapor-phase carbothermic reactions of B2O3 in nitrogen is compared and evaluated against the state-of-the-art wall material, bulk h-BN. Graphite/h-BN bimaterials synthesized through vapor-phase carbothermic reactions are shown to perform comparatively better than bimaterials synthesized through liquid-phase carbothermic reactions. The erosion rate of vapor-phase grown h-BN layers is similar to that of bulk h-BN with a sputtering yield of 0.021 mm3/C for xenon ions at 300 V.
DOI: 10.48577/jpl.f4mmdf
title: Temperature and water vapor profile singular value decomposition scaling to improve OCO-2 XCO2 errors

description: The NASA Orbiting Carbon Observatory-2 (OCO-2) was launched in 2014 with the goal of accurately and precisely measuring column-averaged dry-air mole fractions of carbon dioxide (XCO2). In order to fit the measured near-infrared radiances properly, many physical parameters besides CO2 are included in the optimal estimation state vector, including atmospheric water vapor and temperature. The current operational NASA Atmospheric Carbon Observations from Space (ACOS) XCO2 retrieval algorithm (Version 11) solves for a multiplicative scaling factor on an a priori water vapor profile and an additive offset on an a priori temperature profile. However, simulations have indicated that both water vapor and temperature have 1.5-3 degrees of freedom in the vertical atmospheric column of OCO-2 observations. This means that the retrieval is limited in its ability to fit the true profiles of temperature and water vapor. Simulations using synthetic data and retrievals performed on real measurements indicate that solving for properly constrained full profiles of temperature and water vapor can lead to improved XCO2 retrievals. However, due to operational constraints on the allowed size of the state vector and corresponding output files, a more simplistic approach was desired. In this work, we use singular value decomposition (SVD) to determine the three most common vertical profile ``shapes'' of atmospheric water vapor and temperature error, then retrieve a single scaling factor applied to each of the shapes. We assess retrieval errors statistics by comparing to the Total Carbon Column Observing Network (TCCON) and a collection of CO2 models. We find that the radiance residuals are reduced, especially in the strong CO2 band. We find that after applying XCO2 quality filtering from Data Ordering Genetic Optimization (DOGO) and a custom three-parameter bias correction, the scatter of the overpass-mean XCO2 error versus TCCON for a DOGO throughput of 70% is reduced from 1.02 to 1.01 ppm (2.3% reduction in variance) for land glint observations, 1.04 to 0.96 ppm (14.5% reduction in variance) for land nadir observations, and 0.68 to 0.66 ppm (4.7% reduction in variance) for ocean glint observations. We also see a small improvement in the agreement between OCO-2 XCO2 and the collection of CO2 models over the global oceans and over the Amazon rainforest.
DOI: 10.48577/jpl.oujmg5
title: Observing river flow waves with the SWOT satellite

description: High discharge events propagate down rivers as waves, and their movements are described theoretically by routing equations. While in situ gauge measurements show changes in river height over time at a given location, the sparse spatial distribution of gauges makes it challenging to show how stage evolves with along-river distance as waves propagate downstream. Here we use the novel measurements of water surface elevation from the Surface Water and Ocean Topography (SWOT) satellite to generate and analyze two-dimensional observations of flow wave paths, presenting examples detected in 2023–24 as the first direct observations of continuous downstream changes in river height at a given time within a flow wave. We use such “spatial hydrographs” in our analysis as a remote sensing analog to in situ timeseries. By removing river long profiles (i.e., long-scale elevation profiles), we demonstrate how spatial hydrographs can reveal flow wave characteristics, including measuring length, estimating celerity, and partitioning stormflow from baseflow. Our methods could be applied globally for studying flow waves and their properties.
DOI: 10.15468/dl.7aakq2
title: Occurrence Download

description: A dataset containing 15883 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Canadian Lakes Loon Survey"
 ]
}

 The dataset includes 15883 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016411-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmcfy9
title: Occurrence Download

description: A dataset containing 5606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Comarostaphylis Zucc."
 ]
}

 The dataset includes 5606 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016414-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtutuw
title: Occurrence Download

description: A dataset containing 74373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "Geometry POLYGON((81.20947 -48.22292,193.61079 -48.22292,193.61079 -3.22292,81.20947 -3.22292,81.20947 -48.22292))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melopsittacus undulatus (Shaw, 1805)"
 ]
}

 The dataset includes 74373 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016376-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eea9w9
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orcaella brevirostris (Owen, 1866)"
 ]
}

 The dataset includes 323 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016415-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z932hb
title: Occurrence Download

description: A dataset containing 74602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.97922 59.2423,11.14804 59.2423,11.14804 59.32997,10.97922 59.32997,10.97922 59.2423))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 74602 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016364-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3gxcb
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Sternotherus odoratus (Latreille, 1802)"
 ]
}

 The dataset's 1 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016409-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dh23x
title: Occurrence Download

description: A dataset containing 449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Sternotherus peltifer (Smith & Glass, 1947)"
 ]
}

 The dataset includes 449 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016419-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47h9ya
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sternotherus intermedius (Scott, Glenn & Rissler, 2017)"
 ]
}

 The dataset includes 141 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016421-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ajxzn
title: Occurrence Download

description: A dataset containing 12928 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tyto furcata (Temminck, 1827)"
 ]
}

 The dataset includes 12928 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016420-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc2kbh3j
title: CSD 2363567: Experimental Crystal Structure Determination

description: Related Article: Juan Angel Sans, Catalin Popescu, Javier Ruiz-Fuertes, Virginia Monteseguro, Samuel Gallego-Parra, Tania García-Sánchez, Vanesa Paula Cuenca Gotor.|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ehjw9k
title: Occurrence Download

description: A dataset containing 308895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is True",
 "HasGeospatialIssue is False",
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctalus leisleri (Kuhl, 1817)"
 ]
}

 The dataset includes 308895 records from 3368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016413-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vduunc
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is SANT Herbarium vascular plants collection",
 "EventDate 2021-06-21-2021-06-28"
 ]
}

 The dataset includes 51 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207939-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpmju4
title: Occurrence Download

description: A dataset containing 731594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Norway, Sweden, Finland, Estonia, Latvia, Denmark, Portugal, Spain, France, Germany, Netherlands, Switzerland, Austria, Italy, Greece, Türkiye, Russian Federation, Belarus, Ukraine, Poland, Czechia, Slovakia, Hungary, Romania, Bulgaria, Albania, Serbia, Slovenia, Bosnia and Herzegovina)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hedera helix L."
 ]
}

 The dataset includes 731594 records from 3367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072349-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7298/6dh1-zc69
title: Data and code	from: Who Purchases Flood Insurance, and Why? Evidence from the Hudson Valley
DOI: 10.15468/dl.nzksn7
title: Occurrence Download

description: A dataset containing 40913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropogonias furnieri (Desmarest, 1823)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLatitude is less than or equal to 90",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLongitude is less than or equal to 180",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40913 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011518-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nry7h2
title: Occurrence Download

description: A dataset containing 870 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 8790531 OR occurrence.acceptedtaxonkey = 8790531 OR occurrence.kingdomkey = 8790531 OR occurrence.phylumkey = 8790531 OR occurrence.classkey = 8790531 OR occurrence.orderkey = 8790531 OR occurrence.familykey = 8790531 OR occurrence.genuskey = 8790531 OR occurrence.specieskey = 8790531)
 AND (occurrence."year" &gt;= 1995 AND occurrence."year" &lt;= 2025)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 870 records were derived from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011507-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acnjpp
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamias alpinus Merriam, 1893"
 ]
}

 The dataset includes 773 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011519-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fh95w
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 {
 "and" : [
 "PublishingCountry is one of (Canada)",
 "TaxonKey is one of (Cynodon dactylon (L.) Pers.)"
 ]
 }
 ]
}

 The dataset includes 113 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001401-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/cca65bf3-f0ef-4e10-98c7-a994a3d79df3
title: Data and model underlying the research of: Assessment of saturated hydraulic conductivity-depth relationships and extended soil column thickness in catchment hydrological modelling

description: Dataset underlying the research manuscript where we assessed several saturated hydraulic conductivity-depth profiles and extended soil column thickness in the distributed hydrological model (wflow_sbm) of the Vecht River Basin in Germany and Netherlands. Dataset includes (pre-processed) model input data and outputs. The model inputs were generated using the python package HydroMT-Wflow which set up the ready-to-run wflow_sbm model using global datasets. We used the following datasets: EOBS meteorological forcing, MERIT-HYDRO hydrography, GlobCover land cover, MCD15A3H MODIS leaf area index, and SoilGrids. The model outputs are the simulation results from the implementation of six profiles. For the description of the six profiles, refer to the associated manuscript.
DOI: 10.4121/cca65bf3-f0ef-4e10-98c7-a994a3d79df3.v1
title: Data and model underlying the research of: Assessment of saturated hydraulic conductivity-depth relationships and extended soil column thickness in catchment hydrological modelling

description: Dataset underlying the research manuscript where we assessed several saturated hydraulic conductivity-depth profiles and extended soil column thickness in the distributed hydrological model (wflow_sbm) of the Vecht River Basin in Germany and Netherlands. Dataset includes (pre-processed) model input data and outputs. The model inputs were generated using the python package HydroMT-Wflow which set up the ready-to-run wflow_sbm model using global datasets. We used the following datasets: EOBS meteorological forcing, MERIT-HYDRO hydrography, GlobCover land cover, MCD15A3H MODIS leaf area index, and SoilGrids. The model outputs are the simulation results from the implementation of six profiles. For the description of the six profiles, refer to the associated manuscript.
DOI: 10.25326/ec52-b117
title: water+dust + None - Cloud study - 2009-10-09
DOI: 10.15468/dl.gdun62
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ludwigia repens J.R.Forst.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206538-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.