cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26008/1912/bco-dmo.3937.2
title: Two decibar-averaged CTD profiles from the Hawaii Ocean Time-Series cruises from 1988-2023 (HOT project)

description: The dataset includes CTD data collected by the Hawaii Ocean Time-series (HOT) ocean measurement program on cruises taken from October 1988 to December 2023, during the monthly expedition to Station ALOHA. HOT CTD data are collected using a SeaBird CTD 9-11 (9-11 Plus with dual sensors as of HOT-54) at the maximum sampling rate of 24 samples per second (24 Hz). They are screened for errors and processed to 2-dbar averages. The majority of the sampling effort, approximately 60-72 h per standard HOT cruise, is spent at Station ALOHA. High vertical resolution environmental data are collected with a Sea-Bird CTD having external temperature (T), conductivity (C), dissolved oxygen (DO) and fluorescence (F) sensors and an internal pressure (P) sensor. A Sea-Bird 24-place carousel and an aluminum rosette that is capable of supporting 24 12-L PVC bottles are used to obtain water samples from desired depths. The CTD and rosette are deployed on a 3-conductor cable allowing for real-time display of data and for tripping the bottles at specific depths of interest.
DOI: 10.26008/1912/bco-dmo.917743.3
title: Monthly atmospheric nitrous oxide (N₂O) and carbon monoxide (CO) mixing ratio measurements from San Cristobal, Galápagos Islands collected using a cavity ring-down spectrometer from July 2023 to December 2024

description: This dataset includes atmospheric nitrous oxide (N₂O) and carbon monoxide (CO) mixing ratio measurements from San Cristobal, Galápagos Islands between July 18, 2023 and December 31, 2024. The data are collected using a cavity ring-down spectrometer (Picarro Inc., G5310).
DOI: 10.26008/1912/bco-dmo.947918.1
title: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

description: This dataset contains habitat classifications based on drone based imagery collected at the location of sites sampled during the Fall 2022 drop sampling season. The imagery includes geospatial coverage of estuarine and adjacent terrestrial habitats, providing detailed landscape features such as vegetation type, water bodies, and land use around each sampling site. The spatial resolution of the satellite imagery allows for precise analysis of habitat variables at multiple scales. The resolution of this data is less than 1 meter.

The satellite imagery used to classify the habitats in this dataset was taken during the spring following our sampling season, but is still within six months of our sampling period. The imagery was analyzed to extract environmental variables, such as land-water ratios, vegetation coverage, and proximity to habitat edges. These variables are crucial for defining habitat characteristics and exploring their relationship to species abundance.

The primary purpose of this dataset is to investigate how habitat scale influences models linking species abundance to landscape metrics. This information is particularly useful for researchers studying estuarine ecosystems, landscape ecology, and habitat management. Data collection and interpretation were conducted by Herbert Leavitt, Dr. James Nelson, and Alex Thomas, with affiliations at the time of sampling being with the University of Louisiana at Lafayette.
DOI: 10.26008/1912/bco-dmo.947958.1
title: Habitat classification (mangrove, marsh, water) based on satellite imagery taken in fall 2022 in Port Fourchon, LA

description: This dataset contains habitat classifications based on satellite imagery downloaded from Google Earth, representing the locations of sites sampled during the Fall 2022 drop sampling season. The imagery includes geospatial coverage of estuarine and adjacent terrestrial habitats, providing detailed landscape features such as vegetation type, water bodies, and land use around each sampling site. The spatial resolution of the satellite imagery allows for precise analysis of habitat variables at multiple scales.
The satellite imagery used to classify the habitats in this dataset was taken in 2022 within 1 year of our sampling timeframe. The imagery was analyzed to extract environmental variables, such as land-water ratios, vegetation coverage, and proximity to habitat edges. These variables are crucial for defining habitat characteristics and exploring their relationship to species abundance.

The primary purpose of this dataset is to investigate how habitat scale influences models linking species abundance to landscape metrics. This information is particularly useful for researchers studying estuarine ecosystems, landscape ecology, and habitat management. Data collection and interpretation were conducted by Herbert Leavitt, Dr. James Nelson, and Alex Thomas, with affiliations at the time of sampling being with the University of Louisiana at Lafayette.
DOI: 10.26008/1912/bco-dmo.948167.1
title: Habitat scale model output of Port Fourchon, LA dervied from drone and satellite imagery taken in fall and spring 2023.

description: This dataset and code form part of a broader analysis aimed at evaluating the relationship between habitat structure and species abundance across multiple spatial scales in a rapidly changing estuarine environment near Port Fourchon, Louisiana. Specifically, the code implements a Generalized Additive Modeling (GAM) approach to identify the optimal spatial scale at which habitat features—derived from satellite imagery—best explain the abundance of common estuarine species observed during the Fall 2022 drop sampling season.

The data processing pipeline begins by merging species count data and environmental variables (salinity, temperature, site coordinates) with spatial habitat metrics, including percent edge habitat, mangrove edge length, and land-water ratio. These metrics are calculated at varying spatial scales, defined by buffer radii (20–600 m) and edge distances (1, 3, 5 m). The GAMs iteratively test combinations of predictors while excluding highly correlated variables to reduce multicollinearity. Models are ranked by Akaike Information Criterion (AIC), and the best models are selected based on performance across scales.

The outputs include:

 AIC scores for all tested models across scales.
 Identification of the top model explaining white shrimp abundance.
 Evaluation of individual predictor significance and spatial autocorrelation in residuals.

The results indicate that the relationship between habitat structure and estuarine species  is oftne scale-dependent, with percent edge habitat and mangrove edge length emerging as significant predictors at specific scales. Outputs are saved in CSV files for model summaries and GAM diagnostics, while visualizations illustrate R² values across spatial scales, predictor significance, and observed vs. predicted species abundance.

This pipeline provides a quantitative framework for identifying ecologically relevant spatial scales and assessing the effects of habitat change, such as mangrove encroachment, on species distributions. The findings contribute to a broader effort to model species-habitat relationships in coastal systems and inform management strategies in the face of climate-driven habitat change.
DOI: 10.26008/1912/bco-dmo.941477.1
title: Black mangrove habitat change analysis in Port Fourchon, LA from 2002, 2014, and 2022.

description: This data set contains the analysis of habit change in Port Fourchon, LA from 2002, 2014, and 2022. The analysis uses LandSat9 data to determine the change in black mangrove cover across the three time points.
DOI: 10.26008/1912/bco-dmo.947784.1
title: Species counts, site-level information and environmental context sampled near Port Fourchon, Louisiana from September 23 - 29, 2022.

description: This dataset provides species count data collected during the Fall 2022 drop sampling season at 52 sites near Port Fourchon, Louisiana. The sampling effort aimed to assess the abundance and composition of estuarine nekton species across a landscape experiencing significant climate-driven habitat change, including mangrove encroachment and marsh loss. Species counts were obtained using a drop sampler with a 1.2 m² area, deployed along the marsh edge at each site. Nekton within the sampler were captured using a suction pump and dipnets, sorted into taxonomic groups, and enumerated.The data are presented alongside site-level information, including approximate geolocation, date, and environmental context (e.g., habitat classification derived from drone and satellite imagery).

The purpose of this dataset is to evaluate how species abundances respond to habitat structure at multiple spatial scales, particularly in relation to landscape metrics such as land-to-water ratio, edge area, and mangrove cover. This dataset is useful for ecologists, resource managers, and conservation scientists interested in habitat suitability, estuarine ecology, and the impacts of climate-driven habitat changes on coastal nekton communities.

This dataset is part of a study exploring the effect of habitat scale on models linking species abundance to landscape metrics. This was collected by Herbert Leavitt, Dr. James Nelson, and Alex Thomas. Affiliation at time of sampling was University of Louisiana at Lafayette.
DOI: 10.26008/1912/bco-dmo.956677.1
title: Common garden experimental data on temperature effects in offspring of four Odontesthes regia populations collected along the Chilean coast from Sep to Oct 2023

description: To study patterns of local adaptation to latitudinal temperature gradients in the ocean, we conducted the first common garden experiment on the Chilean silverside (Odontesthes regia). Wild adult spawners from four locations (20 – 42°S) along the Chilean coast were used to produce offspring that was then reared in triplicates from fertilization to approximately 35 mm total lengths (TL) under a set of four common temperatures in the laboratory (11-23°C) and ad libitum feeding conditions. Larval and juvenile TL were measured via calibrated digital pictures (intermediate samples) or via calipers (final samples). Subsequently, the data will allow calculating population, temperature, and life-stage-specific growth capacities (i.e., TL growth rates at excess feeding conditions). This will reveal whether higher latitude populations have evolved genetically faster growth capacities than lower latitude populations – as has so far been shown only for northern hemisphere fishes. In addition, adults collected from each location were x-rayed to count the vertebrae of each specimen and subsequently test, whether lower latitude populations have fewer vertebrae on average than their higher latitude conspecifics – a phenomenon known as Jordan’s Rule.

This dataset includes measurements of total length (TL) and wet weight (wW), developmental stage (Sample), individual ID, and key dates including fertilization, main hatching, and sampling. It also contains population information (Species, Population, PopLabel), collection site metadata (Longitude, Latitude), and specific conditions of the common garden experiment, such as temperature treatment (Temp), replicate number, and bucket ID.

The supplemental tables provide additional data including adult total length and collection metadata (Table 1), vertebral counts from x-ray images and associated metadata (Table 2), and high-resolution temperature records from each experimental treatment tank throughout the common garden experiment (Table 3).
DOI: 10.26008/1912/bco-dmo.917768.1
title: 3D trajectories of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022.

description: Laboratory experiments were conducted on schools of Antarctic krill in the novel annular flume at Palmer Station, Antarctica, in November 2022.  Using overhead camera along with stereophotogrammetry system the swimming trajectories of krill were recorded while altering flow and light levels in the tank. 

The purpose of the study is to understand how Antarctic krill schooling structure changes under environmental cues such as flow and light, with the hope that distribution of these important species can be predicted through knowledge of the environment in the wild. Southern Ocean ecologists, biologists, and oceanographers in general could benefit from this work. Kuvvat Garayev and David Murphy from University of South Florida were responsible for the collection and interpretation of data.
DOI: 10.26008/1912/bco-dmo.945544.1
title: Response of Micromonas sp. to iron-limitation sampled aboard R/V Roger Revelle RR1813 in the Subarctic North Pacific near Station PAPA (50 N, 144.8 W) from August to September 2018

description: Small eukaryotic phytoplankton can account for considerable amounts of biomass and primary production in high nutrient, low chlorophyll (HNLC) regions of the ocean where iron-limitation is pronounced. However, the strategies these cells invoke to cope under low iron conditions and the extent to which they are responsible for new production (i.e., the fraction of primary production supported by nutrients from outside of the euphotic zone) is unclear. Here, we examine how a representative picoeukaryote, the chlorophyte Micromonas sp., recently isolated from the iron-limited subarctic North Pacific Ocean, responds to iron-limitation and quantify its potential contribution to new production. Iron-limited Micromonas exhibits reductions in cellular growth rate, volume, and carbon and nitrogen quotas along with a restructuring of cellular metabolism as inferred through gene expression. Gene expression and pathway analyses show evidence of cellular strategies to mitigate iron limitation but conservation of genes related to nitrogen uptake and utilization. Additionally, when grown on nitrate, cellular carbon and nitrogen quotas ranged from 0.02 – 0.17 pmol C cell-1 and 3.3 x 10-3 – 2.2 x 10-2 pmol N cell-1 as a function of iron status.
DOI: 10.3535/bkd-kjp-sq8
title: Acanthastrea Milne Edwards & Haime, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sjd-e6z-rhe
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cv5-3yj-fxa
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ngq-hcq-t5j
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.bacamv
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1016 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019127-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18167/dvn1/3rbbsc
title: TropGene Coconut

description: The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The COCONUT data in this dataset produced between 2000 and 2016 were extracted from the TROPGENE_COCONUT database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_coconut_references‧txt file contains the references of the scientific publications on these data.
DOI: 10.3535/7gx-kq5-e72
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f7p-f3q-kk8
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/edh-lxz-0zg
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0bl-vrd-80x
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/44b-f0e-k5j
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/97h-nff-356
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jx4-2gh-f9l
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fva-q4d-t9f
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t7d-69f-1vv
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t1x-8bw-7ks
title: Goniopora tenuidens (Quelch, 1886)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wpp-v0j-pvl
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5zf-02b-6dz
title: †Spirifer Sowerby, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0hc-vq7-dv4
title: †Didymites angustilobatus (Hauer, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t3x-s5m-s9v
title: †Productus Sowerby, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/csw-9b4-ana
title: Cervus elaphus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w9b-vvh-gkm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bsn-cyn-mr8
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jea-1p5-97s
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e14-n2w-e92
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xj4-hnl-7qq
title: Balaenoptera acutorostrata Lacépède, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1n4-yll-eb8
title: †Spirifer Sowerby, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sjc-g48-7z3
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w69-21v-mrj
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dtc-tmn-nxs
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fz6-2wk-mqb
title: Acropora Oken, 1815

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j6g-t7b-z92
title: †Timorocidaris sphaeracantha Wanner, 1920

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n7j-j2s-hm3
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2e0-s7r-ldc
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8dz-q0h-4gq
title: †Ubaghsia Jullien, 1886

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48580/d8jq.v76
title: A new variety of Bauhinia bassacensis (Leguminosae: Caesalpinioideae) from Great Nicobar Island, India
DOI: 10.48580/d8jt.v79
title: Neomillspaughia hondurensis (Polygonaceae), a new species from Central America
DOI: 10.48580/d8j5.v82
title: Revisions to the faunas of Andrena of the Iberian Peninsula and Morocco with the descriptions of four new species (Hymenoptera: Andrenidae)
DOI: 10.48580/d8j9.v84
title: Relicthemisia, a new subgenus of the oil-collecting bee genus Centris Fabricius, 1804 with notes on distribution and host plants of C. xanthomelaena Moure & Castro, 2001 (Hymenoptera: Apidae)
DOI: 10.48580/d8jm.v85
title: A new species of the genus Mallomonas (Chrysophyceae: Synurales), Mallomonas kuzminii sp. nov., from lake Frolikha (Russia, Baikal region)
DOI: 10.48580/d8h4.v30
title: Notes on the Afrotropical hover fly genus Meromacroides Curran (Syrphidae, Eristalinae)
DOI: 10.48580/d8h6.v78
title: Validation of the South Asian cichlid genus Pseudetroplus Bleeker (Pisces: Cichlidae)
DOI: 10.48580/d8h9.v79
title: Description of a new species of Neocordulia Selys, 1882 (Odonata: Libellulidae, Corduliinae) from southern Brazil
DOI: 10.48580/d8hc.v83
title: A new species of Cnodalomyia Hull, 1962 (Diptera, Asilidae, Asilinae) from Brazil
DOI: 10.48580/d8gc.v82
title: A new polypterid fish: Polypterus faraou sp. nov. (Cladistia, Polypteridae) from the Late Miocene, Toros-Menalla, Chad
DOI: 10.48580/d8gt.v77
title: Hadzinia ferrani, sp. n. (Opiliones: Nemastomatidae), a highly specialized troglobiotic harvestman from Slovenia
DOI: 10.48580/d8fr.v80
title: A new molluscivore crab from Lake Poso confirms multiple colonization of ancient lakes in Sulawesi by freshwater crabs (Decapoda: Brachyura)
DOI: 10.48580/d8fv.v81
title: New substitute name for the genus Dayus Steiner & Amaral, 1999 (Annelida: Polychaeta: Histriobdellidae)
DOI: 10.48580/d8fz.v82
title: The oldest fossil of a melittid bee (Hymenoptera: Apiformes) from the early Eocene of Oise (France)
DOI: 10.48580/d8dr.v82
title: Convergent evolution of aquatic foraging in a new genus and species (Rodentia: Muridae) from Sulawesi Island, Indonesia
DOI: 10.48580/d8f4.v82
title: Neoeubria inbionis Shepard & Barr, a new genus and new species of Neotropical water penny beetle (Coleoptera: Psephenidae: Eubriinae), with a key to the adult Eubriinae of the Neotropic Zone
DOI: 10.48580/d8d2.v82
title: The second North American fossil horntail wood-wasp (Hymenoptera: Siricidae) from the early Eocene Green River Formation
DOI: 10.48580/d8dc.v82
title: A new species of the genus Genusa (Lepidoptera, Geometridae, Ennominae) from China
DOI: 10.48580/d8cp.v77
title: Synonymy of Reinholdina deelemanorum Giachino & Moravec, 2009 (Coleoptera: Leiodidae: Cholevinae: Leptodirini)
DOI: 10.48580/d8cs.v79
title: Acantholachesilla gen. n. (Psocodea: ’ Psocoptera’: Lachesillidae: Eolachesillinae: Graphocaeciliini) from Valle del Cauca, Colombia