cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dkb5v7
title: Occurrence Download

description: A dataset containing 7909 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.basisofrecord IN ('HUMAN_OBSERVATION', 'PRESERVED_SPECIMEN')
 AND occurrence.countrycode = 'MT'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 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 7909 records were derived from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023477-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k43gq6
title: Occurrence Download

description: A dataset containing 82683 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.basisofrecord IN ('HUMAN_OBSERVATION', 'PRESERVED_SPECIMEN')
 AND occurrence.countrycode = 'LU'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 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 82683 records were derived from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023474-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37ym7m
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleocharis congesta",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023496-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfz8d6
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Depressaria beckmanni"
 ]
}

 The dataset includes 40 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023497-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axqfwd
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrolea palustris",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023501-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jgg7x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrolea palustris",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023499-250920141307145/datasets/export for details.
DOI: 10.15468/dl.td52ct
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrolea palustris",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023498-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ah96r
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleocharis dulcis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 114 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023503-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27mypp
title: Occurrence Download

description: A dataset containing 372070 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.basisofrecord IN ('HUMAN_OBSERVATION', 'PRESERVED_SPECIMEN')
 AND occurrence.countrycode = 'MX'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 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 372070 records were derived from 1232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023479-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8wwddv
title: Two new species of Begonia sect. Erminea (Begoniaceae) from Nosy Mangabe in Madagascar

description: This dataset contains the digitized treatments in Plazi based on the original journal article Scherberich, David, Duruisseau, Jacky (2017): Two new species of Begonia sect. Erminea (Begoniaceae) from Nosy Mangabe in Madagascar. Candollea 72 (2): 257-263, DOI: 10.15553/c2017v722a3AbstractSCHERBERICH, D. & J. DURUISSEAU (2017). Two new species of Begonia sect. Erminea (Begoniaceae) from Nosy Mangabe in Madagascar. Candollea 72: 257-263. In English, English and French abstracts. DOI: http://dx.doi.org/ 10.15553/c 2017v 722a3Begonia nosymangabensis Scherber. & Duruiss. and Begonia pteridoides Scherber. & Duruiss. are described and illustrated. Both new species belong to Begonia sect. Erminea A. DC. Begonia nosymangabensis is compared to Begonia keraudreniae Bosser, from which it differs in having larger and more deeply incised leaves which lack adaxial hairs. Begonia pteridoides is related to Begonia bogneri Ziesenh. but differs by its very divided leaves. Both new species are micro-endemics, restricted to Nosy Mangabe island in northeast Madagascar and are assessed as “Vulnerable” according to the IUCN Red List Categories and Criteria.
DOI: 10.48577/jpl.n0ez0g
title: CYGNSS Satellite Sampling of Surface Heat Fluxes Across Atmospheric River Life Cycles

description: No abstract available.
DOI: 10.48577/jpl.zyedoo
title: Mercury’s tidal Love number h2 from co-registration of MLA profiles

description: Due to its eccentric orbit, Mercury experiences varying gravitational pull from the Sun along its orbit, leading to periodic surface deformation, called body tidal deformation. Quantifying Mercury’s tidal response allows vital insights into its deep interior. The previous measurement of Mercury’s tidal h2 by Bertone et al. (2021) is based on minimizing height differences at cross-overs of the Mercury Laser Altimeter (MLA) profiles. However, this method can suffer from significant interpolation errors for the height difference at the cross-overs. In this study, we investigate Mercury’s tidal deformation by applying an alternative approach, which is based on the co-registration of reprocessed MLA profiles. For the reprocessing, we perform a geolocation of the MLA footprints by accounting for the pointing aberration and by incorporating an updated spacecraft orbit model. Within the study region of 77°N to 84°N, we obtain a tidal h2 of 0.92±0.51 (3-σ). This value is compatible with current interior structure and rheology models, but significantly smaller than the previous estimate of 1.55±0.65 (3-σ). When combined with recent tidal k2 estimates, our measurement favors a small to medium-sized inner core.
DOI: 10.48577/jpl.xx8ytb
title: The Primordial Inflation Explorer (PIXIE): Mission Design and Science Goals

description: The Primordial Inflation Explorer (PIXIE) is an Explorer-class mission concept to measure the energy spectrum and linear polarization of the cosmic microwave background (CMB). A single cryogenic Fourier Transform spectrometer compares the sky to an external blackbody calibration target, measuring the Stokes I, Q, U parameters to levels ∼200 Jy/sr in each 2.65◦ diameter beam over the full sky, in each of 200 frequency channels from 28 GHz to 6 THz. With sensitivity over 1000 times greater than COBE/FIRAS, PIXIE opens a broad discovery space for the origin, contents, and evolution of the universe. Measurements of small distortions from a CMB blackbody spectrum provide a robust determination of the mean electron pressure and temperature in the universe while constraining processes including dissipation of primordial density perturbations, black holes, and the decay or annihilation of dark matter. Full-sky maps of linear polarization measure the optical depth to reionization at nearly the cosmic variance limit and constrain models of primordial inflation. We describe the PIXIE instrument sensitivity, foreground subtraction, and anticipated science return from both the baseline 2-year mission and a potential extended mission.
DOI: 10.48577/jpl.k0wjwo
title: JWST observations of the Ring Nebula (NGC 6720): III. A dusty disk around its Central Star

description: The planetary nebula NGC 6720, also known as the “Ring Nebula”, is one of the most iconic examples 27 of nearby planetary nebulae whose morphologies present a challenge to our theoretical understanding 28 of the processes that govern the deaths of most stars in the Universe that evolve on a Hubble time. 29 We present new imaging with JWST of the central star of this planetary nebula (CSPN) and its close 30 vicinity, in the near- to mid-IR wavelength range. We find the presence of a dust cloud around the CSPN, both from the spectral energy distribution at wavelengths &gt; 31 ∼5 µm, as well as radially-extended 32 emission in the 7.7, 10 and 11.3 µm images. From modeling of these data, we infer that the CSPN 33 has a luminosity of 310L⊙, and is surrounded by a dust cloud with a size of ∼2600 au, consisting of relatively small amorphous silicate dust grains (radius ∼0.01 µm) with a total mass of 1.9 × 10 34 −6 M⊕. 35 However, our best-fit model shows a significant lack of extended emission at 7.7 µm – we show that such emission can arise from a smaller (7.3 × 10 36 −7 M⊕) but uncertain mass of (stochastically-heated) 37 ionized PAHs. However, the same energetic radiation also rapidly destroys PAH molecules, suggesting 38 that these are most likely being continuously replenished, via the outgassing of cometary bodies and/or 39 the collisional grinding of planetesimals. We also find significant photometric variability of the central 40 source that could be due to the presence of a close dwarf companion of mass ≤0.1 M⊙.
DOI: 10.48577/jpl.ucqrnz
title: Semiconductor Optical Amplifier-based Laser System for Cold-Atom Sensors

description: An array of emerging instruments seeks to use laser-cooled atoms as precision sensors. The potential impact of these technologies, such as atom interferometer gravimeters and Rydberg-atom RF-electric probes, can be greatly enhanced if cold-atom systems can be adapted from laboratory-scale experiments to compact, low-power field deployable instruments. However, existing setups typically require bulky and power-hungry laser and optics systems (LOS) to prepare, control, and interrogate the atomic system using a variety of frequency-referenced and rapidly reconfigurable laser beams. In this work, we investigate the feasibility of using semiconductor optical amplifiers (SOAs) to replace high-power pump lasers and acousto-optic modulators within a simple atom cooling apparatus. We find that existing off-the-shelf SOA components operating at relevant wavelengths for Cs and Rb atom cooling (852 and 780 nm, respectively) are able to permit an attractive combination of rapid (sub-microsecond) high extinction ratio ($&gt;$65 dB) switching while acting as power boosters prior to the atomic physics package. Combined with custom-designed and fabricated drive electronics, we implement a simple all-semiconductor laser and amplifier LOS for atom cooling, and demonstrate power sequencing and active stabilization of a bank of SOAs used for cooling of a cloud of neutral Cs atoms. The entire module, including reference and cooling laser subsystems and control electronics, totals DC power consumption of around 13.5 W. These results indicate the feasibility of all-semiconductor laser systems for future low-power field and flight-deployable cold-atom sensor instruments.
DOI: 10.48577/jpl.uaysiq
title: Assessing the Quality of GNSS Radio Occultation Observations in Tropical Cyclones and Implications for Future Observations

description: Long-range tropical cyclone intensity forecasts remain one of the biggest challenges in numerical weather prediction models. In-situ observations of TC thermodynamics are generally limited to dropsondes and aircraft data, and vertical profiling of TC thermodynamics from conventional passive microwave and infrared sensors has historically been limited due to coarse vertical resolution and signal degradation from clouds and precipitation. High vertical resolution Global Navigation Satellite System (GNSS) radio occultation (RO) soundings are insensitive to clouds and precipitation and provide a unique opportunity to study TC thermodynamic vertical structure. However, the quality of the RO observations in the TC environment has not been thoroughly evaluated.In this study, GNSS RO profiles from COSMIC-1 (2006-2019) and COSMIC-2 (2019-2021) are analyzed in conjunction with colocated dropsondes in the TC environment. COSMIC-1 and COSMIC-2 demonstrate remarkable consistency in RO refractivity and bending angle quality exhibiting less than ±0.25% in difference, throughout the lowest 15 km of the atmosphere. Overall median refractivity difference between GNSS RO profiles and colocated dropsondes are within  0.5% at altitudes of 8 km or higher, confirming the high quality of GNSS RO measurements of the TC upper-troposphere with minimal bias. Below 8 km, refractivity differences generally range between -3% and -1% depending on altitude as well as subset criteria and sampling characteristics. Refractivity bias is mostly unaffected by colocation criteria but accounting for RO ray path orientation relative to the TC significantly reduces biases. Any additional RO biases appear to be generally related to local moisture content, rather than temperature variations. The effects of critical refraction and horizontal inhomogeneities appear to contribute no more than 1% and 0.5% refractivity bias to RO observations of TCs, respectively, but require further study. Thorough understanding of GNSS RO observation quality in the TC environment will allow for the regular use of GNSS RO in TCs to fill in observational gaps and ultimately improve TC simulation and prediction through better model physics, parameterizations, and data assimilation.
DOI: 10.48577/jpl.gu75rv
title: Spatial Hydrographs of River Flow and their Analysis for Peak Event Detection in the Context of Satellite Sampling

description: The study of river dynamics has long relied on the analysis of traditional in situ hydrographs. This graphical representation of temporal variability at a given location is so ubiquitous that the mere term “hydrograph” is widely recognized as a time series. While such a “temporal hydrograph” is well suited for in situ data analysis, it fails to represent hydrologic variability across space at a given time; a perspective that characterizes satellite-based hydrologic observations. Here we argue that the concept of “spatial hydrograph” should be the focus of its own dedicated scrutiny. We build “space series” of river discharge and present their analysis in the context of peak flow event detection. We propose the use of peak event spatial coverage, referred to as “length”, as an analog to event duration. Our analysis is performed in the Mississippi basin using a dense in situ network. We reveal that peak flow events range in length from around 75 to 1,800 km with a median (mean) value of 330 (520) km along the basin’s largest rivers. Our analysis also suggests that spatial sampling needs to be a factor of 4 (2) finer in resolution than peak flow lengths to detect 81±13% (70±20%) of events and to estimate their length within 84±3% (68±11%) median accuracy. We evaluate the connection between temporal and spatial scales of peak flows and show that events with longer durations also affect larger extents. We finally discuss the implications for the design of satellite missions concerned with capturing floods across space.
DOI: 10.6084/m9.figshare.28715945
title: <b>Table 2</b><i> </i><i>Comparative analysis of the image of the university in the USSR and in modern Russia by internal components</i>

description: The table is a part of the scientific article and includes a comparative analysis of the image of the univerities in the USSR and in modern Russia by internal components
DOI: 10.15468/dl.bawv6b
title: Occurrence Download

description: A dataset containing 2627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerbera manghas L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2627 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008302-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8zpg9
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synuchus congruus (A.Morawitz, 1862)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226373-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.445r4n
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-358.69755 41.29422,-358.70292 41.27926,-358.69981 41.27775,-358.69391 41.29333,-358.69755 41.29422))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265114-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.