cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xej2z4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.308 -1.929822, 111.237697 -1.935387, 111.169124 -1.951946, 111.103967 -1.979092, 111.043831 -2.016156, 110.990195 -2.062227, 110.944379 -2.11617, 110.907511 -2.176659, 110.880501 -2.242204, 110.864014 -2.311193, 110.858457 -2.381926, 110.863968 -2.452663, 110.880415 -2.521662, 110.907393 -2.587223, 110.944239 -2.647732, 110.990048 -2.701698, 111.043692 -2.747791, 111.103849 -2.784875, 111.169038 -2.812037, 111.237652 -2.828606, 111.308 -2.834175, 111.378348 -2.828606, 111.446962 -2.812037, 111.512151 -2.784875, 111.572308 -2.747791, 111.625952 -2.701698, 111.671761 -2.647732, 111.708607 -2.587223, 111.735585 -2.521662, 111.752032 -2.452663, 111.757543 -2.381926, 111.751986 -2.311193, 111.735499 -2.242204, 111.708489 -2.176659, 111.671621 -2.11617, 111.625805 -2.062227, 111.572169 -2.016156, 111.512033 -1.979092, 111.446876 -1.951946, 111.378303 -1.935387, 111.308 -1.929822))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046724-251120083545085/datasets/export for details.
DOI: 10.15468/dl.52w2r8
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Chionomys nivalis",
 "Year 2020-2025"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046718-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c82pw6
title: Occurrence Download

description: A dataset containing 2267449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Toxostoma rufum)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2267449 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046701-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qg8mqb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.54 -1.928822, 112.469697 -1.934387, 112.401124 -1.950946, 112.335968 -1.978092, 112.275831 -2.015156, 112.222195 -2.061227, 112.176379 -2.11517, 112.139512 -2.175659, 112.112501 -2.241204, 112.096014 -2.310193, 112.090457 -2.380926, 112.095969 -2.451663, 112.112415 -2.520662, 112.139393 -2.586224, 112.17624 -2.646732, 112.222048 -2.700698, 112.275692 -2.746791, 112.335849 -2.783875, 112.401038 -2.811037, 112.469652 -2.827606, 112.54 -2.833175, 112.610348 -2.827606, 112.678962 -2.811037, 112.744151 -2.783875, 112.804308 -2.746791, 112.857952 -2.700698, 112.90376 -2.646732, 112.940607 -2.586224, 112.967585 -2.520662, 112.984031 -2.451663, 112.989543 -2.380926, 112.983986 -2.310193, 112.967499 -2.241204, 112.940488 -2.175659, 112.903621 -2.11517, 112.857805 -2.061227, 112.804169 -2.015156, 112.744032 -1.978092, 112.678876 -1.950946, 112.610303 -1.934387, 112.54 -1.928822))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046729-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17896934
title: BRACHOISE
DOI: 10.5281/zenodo.17896935
title: BRACHOISE
DOI: 10.5524/102780
title: Supporting data for "An evaluation of computational methods for reconstruction of human viral DNA genomes"

description: The increasing availability of viral sequencing data has led to the emergence of many optimized viral genome reconstruction tools. Given that the number of new tools is steadily increasing, it is complex to identify functional and optimized tools that offer an equilibrium between accuracy and computational resources as well as the features that each tool provides.<br>We surveyed open-source computational tools (including pipelines) used for human viral genome reconstruction, identifying specific characteristics, features, similarities, and dissimilarities between these tools. For quantitative comparison, we created an open-source reconstruction benchmark based on viral data. The benchmark was executed using both synthetic and real datasets. With the former, we evaluated the effects to the reconstruction process of using different human DNA viruses with simulated mutation rates, contamination and mitochondrial DNA inclusion, and various coverage depths. Each reconstruction program was also evaluated using real datasets, demonstrating their performance in real-life scenarios. The evaluation measures include the identity, a Normalized Compression Semi-Distance, and the Normalized Relative Compression between the genomes before and after reconstruction, as well as metrics regarding the length of the genomes reconstructed, computational time and resources spent by each tool.<br>We provide a fully reproducible benchmark capable of evaluating currently available reconstruction programs and all data produced in its execution. The benchmark is open-source and freely available at https://github.com/viromelab/HVRS.
DOI: 10.6084/m9.figshare.30858167.v1
title: <b>Patterns of composition, richness and endemicity of Cyperaceae across open and closed habitats in Madagascar’s Central Highlands</b>

description: Data and codes used in Patterns of composition, richness and endemicity of Cyperaceae across open and closed habitats in Madagascar's Central Highlands.
DOI: 10.6084/m9.figshare.30858167
title: <b>Patterns of composition, richness and endemicity of Cyperaceae across open and closed habitats in Madagascar’s Central Highlands</b>

description: Data and codes used in Patterns of composition, richness and endemicity of Cyperaceae across open and closed habitats in Madagascar's Central Highlands.
DOI: 10.15468/dl.4hhafu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.79 -1.927822, 111.719697 -1.933387, 111.651124 -1.949946, 111.585968 -1.977092, 111.525831 -2.014156, 111.472195 -2.060227, 111.426379 -2.11417, 111.389512 -2.174659, 111.362502 -2.240204, 111.346014 -2.309193, 111.340457 -2.379926, 111.345969 -2.450663, 111.362415 -2.519662, 111.389393 -2.585224, 111.42624 -2.645732, 111.472049 -2.699698, 111.525692 -2.745791, 111.585849 -2.782875, 111.651038 -2.810037, 111.719652 -2.826606, 111.79 -2.832175, 111.860348 -2.826606, 111.928962 -2.810037, 111.994151 -2.782875, 112.054308 -2.745791, 112.107951 -2.699698, 112.15376 -2.645732, 112.190607 -2.585224, 112.217585 -2.519662, 112.234031 -2.450663, 112.239543 -2.379926, 112.233986 -2.309193, 112.217498 -2.240204, 112.190488 -2.174659, 112.153621 -2.11417, 112.107805 -2.060227, 112.054169 -2.014156, 111.994032 -1.977092, 111.928876 -1.949946, 111.860303 -1.933387, 111.79 -1.927822))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046731-251120083545085/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.30199990
title: Code for spatial learning and problem solving in house mice across semi-natural and controlled experiments.

description: Code for spatial learning and problem solving in house mice across semi-natural and controlled experiments.
DOI: 10.6084/m9.figshare.30199990.v2
title: Code for spatial learning and problem solving in house mice across semi-natural and controlled experiments.

description: Code for spatial learning and problem solving in house mice across semi-natural and controlled experiments.
DOI: 10.6084/m9.figshare.30199990.v1
title: Code for spatial learning and problem solving in house mice across semi-natural and controlled experiments.

description: Code for spatial learning and problem solving in house mice across semi-natural and controlled experiments.
DOI: 10.25549/usctheses-ouc11399mf2d
title: Evaluation of an Alternative Funding Source for Preventing Future Insolvency of the Medicare Hospital Insurance Trust Fund: Exploratory Analysis of a High Revenue Tax on Nonprofit and Modeled Sav...
DOI: 10.57745/1zcqmn
title: Dataset "Effect of lowering dietary crude protein with different protein sources on growth performance, litter characteristics, and nitrogen balance in broilers chickens"

description: Ce jeu de données contient les données expérimentales de l'essai de Rauglaudre et al. sur l'effet de la baisse de protéines et de la source de protéines chez le poulet de chair (performance zootechniques, bilan azoté et acides gras à chaine courte dans les caeca). Cet article est soumis dans Animal.
DOI: 10.15468/dl.44n8k8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.973 -1.923822, 103.902697 -1.929387, 103.834124 -1.945946, 103.768968 -1.973092, 103.708832 -2.010156, 103.655196 -2.056227, 103.60938 -2.11017, 103.572513 -2.170659, 103.545503 -2.236204, 103.529015 -2.305193, 103.523458 -2.375926, 103.52897 -2.446664, 103.545417 -2.515662, 103.572395 -2.581224, 103.609241 -2.641732, 103.65505 -2.695698, 103.708693 -2.741791, 103.76885 -2.778875, 103.834038 -2.806037, 103.902652 -2.822606, 103.973 -2.828175, 104.043348 -2.822606, 104.111962 -2.806037, 104.17715 -2.778875, 104.237307 -2.741791, 104.29095 -2.695698, 104.336759 -2.641732, 104.373605 -2.581224, 104.400583 -2.515662, 104.41703 -2.446664, 104.422542 -2.375926, 104.416985 -2.305193, 104.400497 -2.236204, 104.373487 -2.170659, 104.33662 -2.11017, 104.290804 -2.056227, 104.237168 -2.010156, 104.177032 -1.973092, 104.111876 -1.945946, 104.043303 -1.929387, 103.973 -1.923822))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046733-251120083545085/datasets/export for details.
DOI: 10.15468/dl.z67n5b
title: Occurrence Download

description: A dataset containing 2932985453 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Animalia"
 ]
}

 The dataset includes 2932985453 records from 67004 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046618-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13987609
title: Dataset and code: Mammals in the city and animal personality
DOI: 10.5281/zenodo.17896792
title: Dataset and code: Mammals in the city and animal personality
DOI: 10.15468/dl.2xdh4f
title: Occurrence Download

description: A dataset listing the 21 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lutra lutra"
 ]
}

 The dataset's 21 records were derived from 1161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t74et9
title: Occurrence Download

description: A dataset containing 120158 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorNet observations"
 ]
}

 The dataset includes 120158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046727-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjattp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.644 -1.921822, 110.573697 -1.927387, 110.505125 -1.943946, 110.439968 -1.971092, 110.379832 -2.008156, 110.326196 -2.054227, 110.280381 -2.10817, 110.243514 -2.168659, 110.216503 -2.234204, 110.200016 -2.303193, 110.194459 -2.373927, 110.199971 -2.444664, 110.216417 -2.513662, 110.243395 -2.579224, 110.280242 -2.639733, 110.32605 -2.693698, 110.379693 -2.739791, 110.43985 -2.776875, 110.505039 -2.804037, 110.573652 -2.820606, 110.644 -2.826175, 110.714348 -2.820606, 110.782961 -2.804037, 110.84815 -2.776875, 110.908307 -2.739791, 110.96195 -2.693698, 111.007758 -2.639733, 111.044605 -2.579224, 111.071583 -2.513662, 111.088029 -2.444664, 111.093541 -2.373927, 111.087984 -2.303193, 111.071497 -2.234204, 111.044486 -2.168659, 111.007619 -2.10817, 110.961804 -2.054227, 110.908168 -2.008156, 110.848032 -1.971092, 110.782875 -1.943946, 110.714303 -1.927387, 110.644 -1.921822))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046735-251120083545085/datasets/export for details.
DOI: 10.15468/dl.5uav7r
title: Occurrence Download

description: A dataset containing 2734869 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '50c9509d-22c7-4a22-a47d-8c48425ef4a7'
 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 NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
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"

 The dataset's 2734869 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046728-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17888517
title: Plane-layer Rayleigh-Bénard convection up to Ra = 10^11: Near-wall fluctuations and the role of initial conditions

description: The dataset can be used to generate the figures from the publication titled "Plane-layer Rayleigh-Bénard convection up to Ra = 10^11: Near-wall fluctuations and role of initial conditions". Along with the data, the relevant Python scripts are also supplied for easy reproduction of the figures presented in this work.
DOI: 10.6084/m9.figshare.30691781
title: Tree-SAM dataset

description: The <b>GZ-Crown</b> dataset was obtained from the Million Trees project (available at: https://milliontrees.idtrees.org/).<br>The <b>SZ-Dataset</b> was derived from imagery downloaded from Google Earth (https://earth.google.com/); in this study, we display a subset of samples for visualizing the prediction results.<br>The <b>BAMFOREST</b> dataset was obtained from the publicly available BAMFORESTS dataset provided by DLR (https://www.dlr.de/en/eoc/about-us/remote-sensing-technology-institute/photogrammetry-and-image-analysis/public-datasets/bamforests).This work is licensed under a CC BY-NC-SA 4.0 Deed license.
DOI: 10.6084/m9.figshare.30691781.v2
title: Tree-SAM dataset

description: The <b>GZ-Crown</b> dataset was obtained from the Million Trees project (available at: https://milliontrees.idtrees.org/).<br>The <b>SZ-Dataset</b> was derived from imagery downloaded from Google Earth (https://earth.google.com/); in this study, we display a subset of samples for visualizing the prediction results.<br>The <b>BAMFOREST</b> dataset was obtained from the publicly available BAMFORESTS dataset provided by DLR (https://www.dlr.de/en/eoc/about-us/remote-sensing-technology-institute/photogrammetry-and-image-analysis/public-datasets/bamforests).This work is licensed under a CC BY-NC-SA 4.0 Deed license.
DOI: 10.6084/m9.figshare.30691781.v1
title: Tree-SAM dataset

description: The <b>GZ-Crown</b> dataset was obtained from the Million Trees project (available at: https://milliontrees.idtrees.org/).<br>The <b>SZ-Dataset</b> was derived from imagery downloaded from Google Earth (https://earth.google.com/); in this study, we display a subset of samples for visualizing the prediction results.<br>The <b>BAMFOREST</b> dataset was obtained from the publicly available BAMFORESTS dataset provided by DLR (https://www.dlr.de/en/eoc/about-us/remote-sensing-technology-institute/photogrammetry-and-image-analysis/public-datasets/bamforests).This work is licensed under a CC BY-NC-SA 4.0 Deed license.
DOI: 10.15468/dl.ygasvs
title: Occurrence Download

description: A dataset containing 67891 records in GBIF matching the query:
SELECT
 '24' 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;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= 146.15102397859218
 AND decimalLongitude &lt;= 155.85126321428865
 AND "year" &gt;= 2015
 AND "year" &lt;= 2025
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 67891 records were derived from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046726-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17896770
title: Foraminifera Community Assemblages from the Southern Maldivian Archipelago: A Helpful Baseline for Future Environmental Assessments

description: These data were collected as part of National Geographic Society Pristine Seas Program. This dataset was generated from a targeted field survey and laboratory analysis of benthic sediments collected in March 2023 from 26 sites across three southern Maldives atolls: Huvadhu, Fuvahmulah, and Addu. At each site, divers collected 100 ml of surface sediment using SCUBA as part of an ecological assessment of benthic foraminiferal communities. The sediment samples were preserved immediately in 95% ethanol with Rose Bengal stain to distinguish living from dead foraminifera.

In the laboratory, samples were washed, sieved into standard size fractions (63–125 μm and >125 μm), dried, and split using a microsplitter. Foraminiferal specimens were then dry-picked, counted, and identified to species level using classical taxonomic references, online databases, and regional literature. The resulting dataset includes species abundance data, ecological group proportions, and associated environmental variables used for community, diversity, and multivariate analyses.
DOI: 10.5281/zenodo.17896771
title: Foraminifera Community Assemblages from the Southern Maldivian Archipelago: A Helpful Baseline for Future Environmental Assessments

description: These data were collected as part of National Geographic Society Pristine Seas Program. This dataset was generated from a targeted field survey and laboratory analysis of benthic sediments collected in March 2023 from 26 sites across three southern Maldives atolls: Huvadhu, Fuvahmulah, and Addu. At each site, divers collected 100 ml of surface sediment using SCUBA as part of an ecological assessment of benthic foraminiferal communities. The sediment samples were preserved immediately in 95% ethanol with Rose Bengal stain to distinguish living from dead foraminifera.

In the laboratory, samples were washed, sieved into standard size fractions (63–125 μm and >125 μm), dried, and split using a microsplitter. Foraminiferal specimens were then dry-picked, counted, and identified to species level using classical taxonomic references, online databases, and regional literature. The resulting dataset includes species abundance data, ecological group proportions, and associated environmental variables used for community, diversity, and multivariate analyses.