cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d4kef2
title: Occurrence Download

description: A dataset containing 977 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.013 6.271134, 117.942318 6.265563, 117.87338 6.248988, 117.807888 6.221817, 117.747458 6.184721, 117.69358 6.138616, 117.64758 6.084639, 117.610591 6.024121, 117.583521 5.958553, 117.567034 5.889553, 117.561532 5.818819, 117.567145 5.748094, 117.583733 5.679119, 117.610883 5.613591, 117.647923 5.553122, 117.693941 5.4992, 117.747801 5.453149, 117.80818 5.416103, 117.873592 5.388971, 117.942429 5.372421, 118.013 5.366858, 118.083571 5.372421, 118.152408 5.388971, 118.21782 5.416103, 118.278199 5.453149, 118.332059 5.4992, 118.378077 5.553122, 118.415117 5.613591, 118.442267 5.679119, 118.458855 5.748094, 118.464468 5.818819, 118.458966 5.889553, 118.442479 5.958553, 118.415409 6.024121, 118.37842 6.084639, 118.33242 6.138616, 118.278542 6.184721, 118.218112 6.221817, 118.15262 6.248988, 118.083682 6.265563, 118.013 6.271134))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 977 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005735-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18344300
title: TABLE 1 in FAMILY CONOPIDAE

description: TABLE 1. Species of Conopidae recorded for Colombia.
GenusSpeciesAuthorPhysocephalainhabilis(Walker, 1849)Physoconopscostatus(Fabricius, 1805)brachyrrhynchus(Macquart, 1843)gracilis(Willinston, 1885)guyanicus(Curran, 1934)StylogasterabdominalisKröber, 1914breviventrisAldrich, 1930decorataAldrich, 1930geijskesiCurran, 1942indistinctaAldrich, 1930minutaTownsend, 1897paradecorataCamras & Parrillo, 1985rectinervisAldrich, 1930schlingeriCamras & Parrillo, 1985stylata(Fabricius, 1805)ZodionpictumSchiner, 1868
description: Published as part of Rocha, Leonardo Silvestre Gomes & Mello-Patiu, Cátia Antunes De, 2016, FAMILY CONOPIDAE, pp. 564 in Zootaxa 4122 (1) on page 564, DOI: 10.11646/zootaxa.4122.1.44, http://zenodo.org/record/255776
DOI: 10.5281/zenodo.18344301
title: TABLE 1 in FAMILY CONOPIDAE

description: TABLE 1. Species of Conopidae recorded for Colombia.
GenusSpeciesAuthorPhysocephalainhabilis(Walker, 1849)Physoconopscostatus(Fabricius, 1805)brachyrrhynchus(Macquart, 1843)gracilis(Willinston, 1885)guyanicus(Curran, 1934)StylogasterabdominalisKröber, 1914breviventrisAldrich, 1930decorataAldrich, 1930geijskesiCurran, 1942indistinctaAldrich, 1930minutaTownsend, 1897paradecorataCamras & Parrillo, 1985rectinervisAldrich, 1930schlingeriCamras & Parrillo, 1985stylata(Fabricius, 1805)ZodionpictumSchiner, 1868
description: Published as part of Rocha, Leonardo Silvestre Gomes & Mello-Patiu, Cátia Antunes De, 2016, FAMILY CONOPIDAE, pp. 564 in Zootaxa 4122 (1) on page 564, DOI: 10.11646/zootaxa.4122.1.44, http://zenodo.org/record/255776
DOI: 10.15468/dl.a4yfs7
title: Occurrence Download

description: A dataset containing 3886 records in GBIF matching the query:
SELECT
 '116' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -12.166598047573723
 AND decimalLatitude &lt;= -8.098015256935714
 AND decimalLongitude &gt;= -45.534006342908626
 AND decimalLongitude &lt;= -40.15865171642743
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 3886 records were derived from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005717-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vrvp9
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005736-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucspxg
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.341 6.284134, 117.270316 6.278563, 117.201376 6.261988, 117.135883 6.234817, 117.075452 6.197721, 117.021572 6.151616, 116.975571 6.097638, 116.938581 6.03712, 116.911511 5.971553, 116.895024 5.902553, 116.889521 5.831819, 116.895135 5.761094, 116.911723 5.692119, 116.938874 5.626591, 116.975915 5.566122, 117.021934 5.5122, 117.075796 5.466149, 117.136176 5.429103, 117.201589 5.401971, 117.270428 5.385421, 117.341 5.379859, 117.411572 5.385421, 117.480411 5.401971, 117.545824 5.429103, 117.606204 5.466149, 117.660066 5.5122, 117.706085 5.566122, 117.743126 5.626591, 117.770277 5.692119, 117.786865 5.761094, 117.792479 5.831819, 117.786976 5.902553, 117.770489 5.971553, 117.743419 6.03712, 117.706429 6.097638, 117.660428 6.151616, 117.606548 6.197721, 117.546117 6.234817, 117.480624 6.261988, 117.411684 6.278563, 117.341 6.284134))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005737-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.5838606.v3
title: Watanabe Illusion 2010

description: The uppermost dot in the right column is aligned with the oblique line in the left circle, but one of lower dots appears to be aligned.<br>There are also eye direction versions. Which point do the eyes look at? When the sight line is defined as a line connecting the centers of white eye and black eye, the eyes look at the top point.
DOI: 10.5281/zenodo.18344254
title: Impact probability comparison for asteroid 2000 SG344 for NEOForCE and Sentry-II

description: This table is the full version of Table 4 for publication

Vavilov D.E., Hestroffer D. (2026) NEOForCE: Near-Earth Objects’ Forecast of Collisional Events, Astronomy&Astrophysics

It presents the comparison of impact probabilities computed by two different monitoring systems: Sentry-II (JPL NASA, USA) and NEOForCE (Paris Observatory, France) for asteroid 2000 SG344 using exactly the same input parameters (orbit and covariance matrix).

The first column is the date of a possible collision, the second and forth columns are the impact probabilities computed by NEOForCE and Sentry-II, correspondingly. The third and the fith columns present \sigma_VI parameter, that shows how far the collisional orbit differs from the nominal orbit in terms of standard deviations.
DOI: 10.5281/zenodo.18344255
title: Impact probability comparison for asteroid 2000 SG344 for NEOForCE and Sentry-II

description: This table is the full version of Table 4 for publication

Vavilov D.E., Hestroffer D. (2026) NEOForCE: Near-Earth Objects’ Forecast of Collisional Events, Astronomy&Astrophysics

It presents the comparison of impact probabilities computed by two different monitoring systems: Sentry-II (JPL NASA, USA) and NEOForCE (Paris Observatory, France) for asteroid 2000 SG344 using exactly the same input parameters (orbit and covariance matrix).

The first column is the date of a possible collision, the second and forth columns are the impact probabilities computed by NEOForCE and Sentry-II, correspondingly. The third and the fith columns present \sigma_VI parameter, that shows how far the collisional orbit differs from the nominal orbit in terms of standard deviations.
DOI: 10.15468/dl.jakqz5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005739-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f9vy4
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.844 6.291134, 117.773315 6.285563, 117.704375 6.268987, 117.63888 6.241817, 117.578448 6.204721, 117.524568 6.158616, 117.478567 6.104638, 117.441576 6.04412, 117.414506 5.978553, 117.398018 5.909552, 117.392516 5.838819, 117.39813 5.768094, 117.414718 5.699119, 117.441869 5.633591, 117.478911 5.573122, 117.52493 5.5192, 117.578792 5.473149, 117.639173 5.436103, 117.704587 5.408971, 117.773427 5.392421, 117.844 5.386859, 117.914573 5.392421, 117.983413 5.408971, 118.048827 5.436103, 118.109208 5.473149, 118.16307 5.5192, 118.209089 5.573122, 118.246131 5.633591, 118.273282 5.699119, 118.28987 5.768094, 118.295484 5.838819, 118.289982 5.909552, 118.273494 5.978553, 118.246424 6.04412, 118.209433 6.104638, 118.163432 6.158616, 118.109552 6.204721, 118.04912 6.241817, 117.983625 6.268987, 117.914685 6.285563, 117.844 6.291134))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 491 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005740-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24628221
title: Topologically Overlapped Fused LASSO Measure for Reconstructing Gene Regulation Networks

description: Identifying target genes in Gene Regulation Network (GRN) models has always been challenging in Systems Biology. In this regard, indirect gene regulatory hierarchical architectures may be promising enough, considering varied topological structures and unknown gene regulation factors. Such causal regulations can be investigated, keeping in force all perturbation experiments of a dataset. Contemporary research primarily highlights direct interaction networks, which mostly forego the inevitable presence of a third entity, if any, towards varied forms of causal regulations. In this article, we have developed a hierarchical algorithm that unveils the genetic wiring through the Fused Least Absolute Shrinkage and Selection Operator (Fused-LASSO) technique with a Topological Overlap (TO) measure as the interaction structure. The potential power of this proposed model is studied over YEAST Cell Cycle, and Human cancer cell line data (HeLa). In this connection, the different statistically significant hierarchical regulation outcomes maintaining parity with the direct interaction structures, if any, to the target genes may throw new light on gene regulation statistics.
DOI: 10.6084/m9.figshare.24628221.v2
title: Topologically Overlapped Fused LASSO Measure for Reconstructing Gene Regulation Networks

description: Identifying target genes in Gene Regulation Network (GRN) models has always been challenging in Systems Biology. In this regard, indirect gene regulatory hierarchical architectures may be promising enough, considering varied topological structures and unknown gene regulation factors. Such causal regulations can be investigated, keeping in force all perturbation experiments of a dataset. Contemporary research primarily highlights direct interaction networks, which mostly forego the inevitable presence of a third entity, if any, towards varied forms of causal regulations. In this article, we have developed a hierarchical algorithm that unveils the genetic wiring through the Fused Least Absolute Shrinkage and Selection Operator (Fused-LASSO) technique with a Topological Overlap (TO) measure as the interaction structure. The potential power of this proposed model is studied over YEAST Cell Cycle, and Human cancer cell line data (HeLa). In this connection, the different statistically significant hierarchical regulation outcomes maintaining parity with the direct interaction structures, if any, to the target genes may throw new light on gene regulation statistics.
DOI: 10.6084/m9.figshare.24628221.v1
title: Topologically Overlapped Fused LASSO Measure for Reconstructing Gene Regulation Networks

description: Identifying target genes in Gene Regulation Network (GRN) models has always been challenging in Systems Biology. In this regard, indirect gene regulatory hierarchical architectures may be promising enough, considering varied topological structures and unknown gene regulation factors. Such causal regulations can be investigated, keeping in force all perturbation experiments of a dataset. Contemporary research primarily highlights direct interaction networks, which mostly forego the inevitable presence of a third entity, if any, towards varied forms of causal regulations. In this article, we have developed a hierarchical algorithm that unveils the genetic wiring through the Fused Least Absolute Shrinkage and Selection Operator (Fused-LASSO) technique with a Topological Overlap (TO) measure as the interaction structure. The potential power of this proposed model is studied over YEAST Cell Cycle, and Human cancer cell line data (HeLa). In this connection, the different statistically significant hierarchical regulation outcomes maintaining parity with the direct interaction structures, if any, to the target genes may throw new light on gene regulation statistics.
DOI: 10.5281/zenodo.15702219
title: Replication Data for: Assimilating Satellite All-Sky Infrared Radiances to Improve Heavy Rainfall Forecasts

description: The experimental data and Python scripts used in the assimilation of FY-4A AGRI all-sky infrared radiances are provided to support the reproducibility of the results.
DOI: 10.5281/zenodo.15702218
title: Replication Data for: Assimilating Satellite All-Sky Infrared Radiances to Improve Heavy Rainfall Forecasts

description: The experimental data and Python scripts used in the assimilation of FY-4A AGRI all-sky infrared radiances are provided to support the reproducibility of the results.
DOI: 10.15468/dl.gppt6a
title: Occurrence Download

description: A dataset containing 591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strobilanthes cusia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 591 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005741-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxn3m8
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005742-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfxtqh
title: Occurrence Download

description: A dataset containing 102350 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Desert Botanical Garden Herbarium"
 ]
}

 The dataset includes 102350 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005733-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhbugr
title: Occurrence Download

description: A dataset containing 928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Harpia harpyja"
 ]
}

 The dataset includes 928 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005743-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wz7rx
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.324 6.302134, 117.253313 6.296563, 117.184372 6.279987, 117.118876 6.252816, 117.058443 6.21572, 117.004561 6.169615, 116.958559 6.115638, 116.921568 6.05512, 116.894497 5.989552, 116.878009 5.920552, 116.872507 5.849818, 116.878121 5.779094, 116.89471 5.710119, 116.921861 5.644591, 116.958904 5.584122, 117.004924 5.5302, 117.058788 5.484149, 117.11917 5.447103, 117.184585 5.419972, 117.253425 5.403421, 117.324 5.397859, 117.394575 5.403421, 117.463415 5.419972, 117.52883 5.447103, 117.589212 5.484149, 117.643076 5.5302, 117.689096 5.584122, 117.726139 5.644591, 117.75329 5.710119, 117.769879 5.779094, 117.775493 5.849818, 117.769991 5.920552, 117.753503 5.989552, 117.726432 6.05512, 117.689441 6.115638, 117.643439 6.169615, 117.589557 6.21572, 117.529124 6.252816, 117.463628 6.279987, 117.394687 6.296563, 117.324 6.302134))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005744-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.