cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15626557
title: Global Reef Expedition Benthic Foraminifera Database

description: Coral reefs are among the most biodiverse ecosystems on Earth, yet over half have been lost in the past four decades. Restoration efforts, such as marine protected areas and reef rehabilitation, are most effective when targeted at sites with potential for recovery. A key challenge is distinguishing reefs that are naturally depauperate from those degraded by anthropogenic stress—an assessment difficult to achieve with traditional coral monitoring, which rarely extends beyond a decade. Bioindicators offer a solution for evaluating reef health over longer timescales, and benthic foraminifera have shown particular promise in this regard. This dataset comprises counts of benthic foraminifera from samples collected as part of the Khaled bin Sultan Living Oceans Foundation Global Reef Expedition. Spanning over 1,000 reefs across 15 countries in the Atlantic, Pacific, and Indian Oceans, the dataset covers a wide gradient of environmental conditions, human impacts, and reef potential. These data were used to develop new foraminiferal bioindicators for reef health assessment. By expanding the geographic scope of such indicators, this dataset supports the standardization of foraminiferal tools for global coral reef conservation and targeted restoration efforts.
description: Samples were collected by divers at sites representing a range of exposure regimes. Following the sampling protocol described by Purkis et al., (2015), 500 ml of surficial seabed sediments were scooped into Nalgene bottles, which were capped underwater at the seafloor to prevent the loss of fine-grained material. The benthic character at the location of each sample was recorded by digital underwater photographs.

Each of the sediment samples was wet-sieved using a 125-micron mesh to remove small, broken, and juvenile foraminifera. The sieved samples were dried at 60 °C in preparation for foraminifera collection. Once dried, the samples were split into 3-g subsamples using a sediment micro-splitter. Under stereomicroscopy, 200 foraminifera-per-subsample were picked using fine-tipped brushes and glued to micropaleontological slides using an organic glue comprising gum tragacanth with a drop of clove oil as an antifungal. In samples with fewer than 200 foraminifera-per-subsample, all specimens were picked. Because foraminiferal abundances were variable among our samples, a minimum of 100 specimens-per-subsample was accepted for further analysis.
DOI: 10.5281/zenodo.15626558
title: Global Reef Expedition Benthic Foraminifera Database

description: Coral reefs are among the most biodiverse ecosystems on Earth, yet over half have been lost in the past four decades. Restoration efforts, such as marine protected areas and reef rehabilitation, are most effective when targeted at sites with potential for recovery. A key challenge is distinguishing reefs that are naturally depauperate from those degraded by anthropogenic stress—an assessment difficult to achieve with traditional coral monitoring, which rarely extends beyond a decade. Bioindicators offer a solution for evaluating reef health over longer timescales, and benthic foraminifera have shown particular promise in this regard. This dataset comprises counts of benthic foraminifera from samples collected as part of the Khaled bin Sultan Living Oceans Foundation Global Reef Expedition. Spanning over 1,000 reefs across 15 countries in the Atlantic, Pacific, and Indian Oceans, the dataset covers a wide gradient of environmental conditions, human impacts, and reef potential. These data were used to develop new foraminiferal bioindicators for reef health assessment. By expanding the geographic scope of such indicators, this dataset supports the standardization of foraminiferal tools for global coral reef conservation and targeted restoration efforts.
description: Samples were collected by divers at sites representing a range of exposure regimes. Following the sampling protocol described by Purkis et al., (2015), 500 ml of surficial seabed sediments were scooped into Nalgene bottles, which were capped underwater at the seafloor to prevent the loss of fine-grained material. The benthic character at the location of each sample was recorded by digital underwater photographs.

Each of the sediment samples was wet-sieved using a 125-micron mesh to remove small, broken, and juvenile foraminifera. The sieved samples were dried at 60 °C in preparation for foraminifera collection. Once dried, the samples were split into 3-g subsamples using a sediment micro-splitter. Under stereomicroscopy, 200 foraminifera-per-subsample were picked using fine-tipped brushes and glued to micropaleontological slides using an organic glue comprising gum tragacanth with a drop of clove oil as an antifungal. In samples with fewer than 200 foraminifera-per-subsample, all specimens were picked. Because foraminiferal abundances were variable among our samples, a minimum of 100 specimens-per-subsample was accepted for further analysis.
DOI: 10.5281/zenodo.15626544
title: Cruise Segment Data from the NASA DASHlink Dataset Extracted and Processed by the Initial Release of SCOOP (v1.0.0)

description: This dataset provides extracted cruise-segment data from an operational fleet of 35 regional jets. The data are suitable for aircraft performance monitoring and potentially other applications.

In commercial operations, most fuel is consumed during cruise, when aerodynamic and propulsive forces are approximately in equilibrium, and deviations from expected fuel use are more readily detected. This dataset was created using the SCOOP computational framework for extracting and analyzing flight segments in steady-state cruise.

An open-access operational dataset from the NASA DASHlink provided raw input data in the form of parameters from time histories of whole flights over three years of operation of 35 regional jets.

A sliding window approach identifies intervals meeting defined cruise criteria, followed by analysis of aerodynamic and propulsive characteristics, and computation of statistically meaningful fuel performance metrics.

This work addresses a key research gap: the lack of large volumes of high-quality, analysis-ready data to support advanced techniques for applications such as aircraft performance monitoring.

Raw data: B. Matthews, Nov. 29, 2012. “Sample Flight Data,” distributed by NASA DASHlink, https://c3.ndc.nasa.gov/dashlink/projects/85/

The cruise segments were extracted and derived parameters added according to: L. V. Bays and M. W. Grenn, "A Framework for Extracting Stable Cruise from Operational Observed Performance (SCOOP)", unpublished, June, 2025.
DOI: 10.5281/zenodo.15626545
title: Cruise Segment Data from the NASA DASHlink Dataset Extracted and Processed by the Initial Release of SCOOP (v1.0.0)

description: This dataset provides extracted cruise-segment data from an operational fleet of 35 regional jets. The data are suitable for aircraft performance monitoring and potentially other applications.

In commercial operations, most fuel is consumed during cruise, when aerodynamic and propulsive forces are approximately in equilibrium, and deviations from expected fuel use are more readily detected. This dataset was created using the SCOOP computational framework for extracting and analyzing flight segments in steady-state cruise.

An open-access operational dataset from the NASA DASHlink provided raw input data in the form of parameters from time histories of whole flights over three years of operation of 35 regional jets.

A sliding window approach identifies intervals meeting defined cruise criteria, followed by analysis of aerodynamic and propulsive characteristics, and computation of statistically meaningful fuel performance metrics.

This work addresses a key research gap: the lack of large volumes of high-quality, analysis-ready data to support advanced techniques for applications such as aircraft performance monitoring.

Raw data: B. Matthews, Nov. 29, 2012. “Sample Flight Data,” distributed by NASA DASHlink, https://c3.ndc.nasa.gov/dashlink/projects/85/

The cruise segments were extracted and derived parameters added according to: L. V. Bays and M. W. Grenn, "A Framework for Extracting Stable Cruise from Operational Observed Performance (SCOOP)", unpublished, June, 2025.
DOI: 10.15468/dl.e6ts58
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breviceps bagginsi Minter, 2003",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031433-250525065834625/datasets/export for details.
DOI: 10.15468/dl.f8za3n
title: Occurrence Download

description: A dataset containing 6254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.53833 -32.78765,-67.67454 -32.78765,-67.67454 -32.27058,-68.53833 -32.27058,-68.53833 -32.78765))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6254 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031434-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjhe5c
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rousettus leschenaultii (Desmarest, 1820)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 485 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031435-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/0tmlti
title: Replication Data for: Government Ideology and Support for Redistribution among the Wealthy

description: When and why do wealthy individuals support redistribution? Under standard political economy models, preferences for redistribution are a function of material conditions. The partisanship literature, on the contrary, argues that partisan identification determines redistributive preferences. We move beyond this dichotomy to argue that the ideology of the government enacting redistribution is a key factor explaining support for redistribution among the wealthy. Through survey experiments during the 2022 Colombian election, we find that the wealthy are more likely to support redistribution under a right-wing government and expect redistribution under the Right to be more efficient and less economically disruptive. We find heterogeneous treatment effects across ideological groups. However, regardless of ideology, the wealthy do not expect macroeconomic instability from right-wing redistribution.
DOI: 10.15468/dl.negmuf
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helenium virginicum S.F.Blake"
 ]
}

 The dataset includes 252 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031437-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/n7dr2sdc
title: Pelagic cruise CTD casts and ship-track velocity and weather data near the Mississippi Delta, July 2014
DOI: 10.15468/dl.623v6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breviceps bagginsi Minter, 2003",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031438-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3jcnfb
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyathea grandifolia Willd."
 ]
}

 The dataset includes 778 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031439-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc53kz
title: Occurrence Download

description: A dataset containing 1573 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.countrycode = 'DO'
 AND (occurrence.decimallatitude &gt;= 19.03035 AND occurrence.decimallatitude &lt;= 19.4552 AND (occurrence.decimallongitude &gt;= -71.57549 AND occurrence.decimallongitude &lt;= -71.00773) AND GBIF_WITHIN('POLYGON ((-71.53782 19.23953, -71.50209 19.03035, -71.13441 19.08102, -71.00773 19.17262, -71.17858 19.39089, -71.22211 19.4552, -71.35528 19.40323, -71.52093 19.3688, -71.57549 19.34736, -71.53782 19.23953))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE)
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 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 1573 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031423-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xu9az
title: Occurrence Download

description: A dataset containing 1522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scotophilus kuhlii Leach, 1821",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1522 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031441-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvqxpk
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aglaonema nitidum (Jack) Kunth)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 83 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031442-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhgjjt
title: Occurrence Download

description: A dataset listing the 1075 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "Geometry POLYGON((-71.53782 19.23953,-71.50209 19.03035,-71.13441 19.08102,-71.00773 19.17262,-71.17858 19.39089,-71.22211 19.4552,-71.35528 19.40323,-71.52093 19.3688,-71.57549 19.34736,-71.53782 19.23953))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1075 records were derived from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031429-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12111987
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.gnjwhu
title: Occurrence Download

description: A dataset containing 96880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.04816 4.65895,-74.07367 4.67625,-74.09528 4.68014,-74.11476 4.66319,-74.13849 4.63953,-74.13849 4.61799,-74.10909 4.59363,-74.06587 4.60493,-74.06587 4.62294,-74.05985 4.642,-74.04816 4.65895))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amphibia, Mammalia, Aves, Reptilia)"
 ]
}

 The dataset includes 96880 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031417-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfezkj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breviceps bagginsi Minter, 2003",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031443-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bqw7q3
title: Occurrence Download

description: A dataset containing 43935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasypus novemcinctus Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43935 records from 487 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031445-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fmcut
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psammophylax rhombeatus (Linnaeus, 1758)"
 ]
}

 The dataset includes 979 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283586-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azshtv
title: Occurrence Download

description: A dataset listing the 6017 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is SGP",
 "Year 2013-2023"
 ]
}

 The dataset's 6017 records were derived from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117479-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nenkav
title: Occurrence Download

description: A dataset listing the 1510 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-126.87597 48.35732,-124.20503 37.49264,-118.63502 31.61376,-114.88132 30.88915,-106.64741 31.4073,-105.55762 28.89473,-101.92501 28.25672,-97.80805 24.46032,-92.88585 30.18872,-98.1409 41.39789,-105.74395 49.60472,-121.84454 49.74942,-126.87597 48.35732))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Andrenidae"
 ]
}

 The dataset's 1510 records were derived from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233498-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3cyuu
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Angullongiidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018152-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72zdsd
title: Occurrence Download

description: A dataset containing 25887613 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Brazil"
 ]
}

 The dataset includes 25887613 records from 4908 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018189-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fa3hq
title: Occurrence Download

description: A dataset containing 1899 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sophora japonica L."
 ]
}

 The dataset includes 1899 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184583-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fxc8g
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus nigra var. thevestina (Dode) Bean"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184490-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.