cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48539/hbm637.gfwk.542
title: OMAP-25: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based  Imaging of Lung with CODEX, v1.0

description: OMAP-25 was developed for Multiplexed Immunofluorescence (MxIF) imaging of human formalin-fixed paraffin-embedded<br>(FFPE) lung sections using the Akoya Biosciences Phenocycler-Fusion platform (Purkerson, Pryhuber, Colon, et al.<br>2025a). This panel includes 45 antibodies and the nuclear marker DAPI for image alignment and nuclear segmentation.<br>OMAP-25 provides spatial context for airway, vasculature, and alveolar structures, identifying approximately 40 out of<br>72 key epithelial, endothelial, and immune cell types defined in the ASCT+B lung table v1.2 (Pryhuber 2021). While the<br>panel offers broad coverage of lung cell types, it does not yet identify capillary type 1 and capillary type 2<br>endothelial cells, eosinophils/basophils, fibroblasts/pericytes, chondrocytes, or NK cells due to ongoing development<br>of antibody-oligonucleotide conjugates with sufficient specificity for these markers. Protein targets were detected<br>using barcode-conjugated antibodies either sourced directly from Akoya Biosciences or produced via custom conjugation<br>using Akoya’s antibody conjugation kit (Cat# 232195). Tissue sections underwent antigen retrieval in AR9 Buffer<br>(Akoya, PN#AR9001KT) using a pressure cooker for 20 minutes, along with autofluorescence quenching. For optimal<br>imaging of proximal lung tissues containing large airway and vascular features, antibodies targeting extracellular<br>matrix, endothelium, and vascular smooth muscle should be imaged within the first five cycles to minimize structural<br>degradation. Pan markers (e.g., PanCK, ACTA2) can be reserved for later cycles. Image analysis was performed using a<br>combination of segmentation tools, vascular and airway feature annotation, and export of masks and annotations, as<br>described in (Purkerson, Pryhuber, Colon, et al. 2025b). The antibody validation protocol is available in a separate<br>reference (Purkerson, Pryhuber, Huyck, et al. 2025).<br><br>**Bibliography:**<br><br>* Pryhuber, Gloria. 2021. “Lung (v1.2) Graph Data, v1.2.” https://lod.humanatlas.io/asct-b/lung/v1.2/.<br>* Purkerson, Jeffrey, Gloria S. Pryhuber, Luis Colon, and Heidie Huyck. 2025a. “813.1 Multiplexed Immunofluorescence Phenocycler-Fusion® Imaging of FFPE Lung Sections.” https://www.protocols.io/view/813-1-multiplexed-immunofluorescence-phenocycler-f-dt3j6qkn.<br>* Purkerson, Jeffrey, Gloria S. Pryhuber, Luis Colon, and Heidie Huyck. 2025b. “813.1 Multiplexed Immunofluorescence Phenocycler-Fusion® Imaging of FFPE Lung Sections.” https://www.protocols.io/view/813-1-multiplexed-immunofluorescence-phenocycler-f-dt3j6qkn.<br>* Purkerson, Jeffrey, Gloria S. Pryhuber, Heidie Huyck, and Gail Deutsch. 2025. “812.2 Lung FFPE Multiplexed Immunofluorescence Phenocycler-Fusion® Antibody Validation Protocol.” https://www.protocols.io/view/812-2-lung-ffpe-multiplexed-immunofluorescence-phe-dqjn5ume.
DOI: 10.48539/hbm366.rqzk.248
title: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Lung with Cell DIVE, v1.0

description: The OMAP Lung panel was designed for Cell DIVE imaging of Formalin-Fixed Paraffin-Embedded (FFPE) lung tissue. The<br>tissue slides were prepared with a two-step antigen retrieval process (pH 6 and pH 9, as described<br>[here](dx.doi.org/10.17504/protocols.io.bpwumpew). Antigens were detected using either primary antibodies with<br>fluorophore-labeled secondaries or fluorescent dye conjugated antibodies (protocol can be found<br>[here](dx.doi.org/10.17504/protocols.io.b4kgqutw). The panel contains 31 antibodies and the nuclear marker DAPI for<br>image alignment and nuclear segmentation. This OMAP provides a spatial context for key lung cell types in the [ASCT+B<br>lung table v1.1](https://doi.org/10.48539/HBM323.SGDF.945). <br>Additionally, the inclusion of protein biomarkers such as AGTR1, Cathepsin L, TMPRSS2, ICAM-1, and CD55 allow<br>characterization of proteins relevant to SARS-CoV-2 infection and profiling of the renin-angiotensin system (RAS) that<br>may play a role in COVID-19 disease. The core and essential protein biomarkers detailed here overlap (~25%) with the<br>panel developed for multiplexed imaging of lung samples established using conventional automated IHC staining for<br>FFPE-material (Dr. Christopher Werlein, an expert lung pathologist). This OMAP does not contain antibodies for<br>typing subsets of fibroblasts, macrophages, or endothelial cells.
DOI: 10.5066/p14dawjx
title: Mollusk diet of wild caught Black Carp (Mylopharyngodon piceus) from the Mississippi River drainage, 2019 - 2023

description: The dataset is an inventory (enumeration and taxonomic identification) of mollusk diet items consumed by wild-caught black carp (Mylopharyngodon piceus), based on the examination of gut contents from black carp collected in the lower Mississippi River drainage of the U.S. in 2019 through 2023.
DOI: 10.48539/hbm952.hxmd.576
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Spleen, v1.5

description: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables (https://humanatlas.io/asctb-tables) aim to capture<br>anatomical human body parts, the typology of cells, and biomarkers used to identify cell types. The tables are<br>authored and reviewed by an international team of experts. The spleen ASCT+B tables are derived from published<br>literature, public datasets, unpublished studies from table authors, and input provided by Dr. Birte Steiniger, an<br>early reviewer and leader in the field of spleen anatomy. The gene biomarkers are primarily derived from one landmark<br>publication in humans: [Madissoon et al. 2019] (https://doi.org/10.1186/s13059-019-1906-x). The anatomical structures<br>and cell types of the spleen were highly influenced by work from Dr. Steiniger including: [Steiniger 2015]<br>(https://doi.org/10.1111/imm.12469), [Steiniger et al. 2018] (https://doi.org/10.1038/s41598-018-34105-3), and<br>[Steiniger et al. 2007] (https://doi.org/10.1007/s00418-007-0320-8). Whenever possible, we used multiple sources to<br>confirm gene and protein biomarkers and united them across cell types. Cell phenotypes, especially for protein-based<br>assays, are highly granular with several markers listed at different expression levels. We anticipate further revision<br>and refinement from multimodal studies that pair sequencing and imaging studies from the same human sample. In total,<br>this table reports 37 anatomical structures, 60 cell types, and 194<br>biomarkers. <br> <br>**Bibliography:** <br><br>* Madissoon, E., Wilbrey-Clark, A., Miragaia, R. J., Saeb-Parsy, K., Mahbubani, K. T., Georgakopoulos, N., Harding, P., et al. 2019. “scRNA-Seq Assessment of the Human Lung, Spleen, and Esophagus Tissue Stability after Cold Preservation.” *Genome Biology* 21 (1): 1. https://doi.org/10.1186/s13059-019-1906-x. <br>* Steiniger, Birte S. 2015. “Human Spleen Microanatomy: Why Mice Do Not Suffice.” *Immunology* 145 (3): 334–346. https://doi.org/10.1111/imm.12469. <br>* Steiniger, B. S., Wilhelmi, V., Berthold, M., Guthe, M., and Lobachev, O. 2018. “Locating Human Splenic Capillary Sheaths in Virtual Reality.” *Scientific Reports* 8 (1): 15720. https://doi.org/10.1038/s41598-018-34105-3. <br>* Steiniger, Birte, Stachniss, Vitus, Schwarzbach, Hans, and Barth, Peter J. 2007. “Phenotypic Differences between Red Pulp Capillary and Sinusoidal Endothelia Help Localizing the Open Splenic Circulation in Humans.” *Histochemistry and Cell Biology* 128 (5): 391–398. https://doi.org/10.1007/s00418-007-0320-8.<br>* Börner, Katy, Sarah A. Teichmann, Ellen M. Quardokus, James C. Gee, Kristen Browne, David Osumi-Sutherland, Bruce W. Herr II, et al. 2021. “Anatomical Structures, Cell Types and Biomarkers of the Human Reference Atlas.” *Nature Cell Biology* 23 (11): 1117–28. https://doi.org/10.1038/s41556-021-00788-6."
DOI: 10.5285/38dc124c-d56e-8577-e063-7086abc0c109
title: Processed multibeam bathymetry grids from the Whittard Canyon and the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) (JC237, 2022)

description: Multibeam swath bathymetry data were collected with a hull-mounted Kongsberg EM122 echosounder during RRS James Cook cruise JC237 (Chief Scientist Veerle Huvenne) August-September 2022. The cruise was conducted to map Whittard Canyon, a deep ocean canyon in the Bay of Biscay, and the Porcupine Abyssal Plain Sustained Observatory (PAP-SO), in order to obtain a better insight in the biodiversity patterns, benthic habitat distributions and sediment transport processes of submarine canyons. The data were edited using Caris HIPS software by Catherine Wardell and gridded at 50 m spacing in a WGS84 UTM Zone 28N (PAP-SO) and WGS84 UTM Zone 29N (Whittard Canyon) projection. The vertical datum of the data is matched to mean sea level (MSL). They were exported as longitude-latitude-depth triples. Funding was provided to CLASS (Climate Linked Atlantic Sector Science), the National Capability Single Sector Marine Research Programme by NERC.
DOI: 10.48539/hbm284.rfdc.542
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Thymus, v1.2

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.5066/p13zrrik
title: Campaign GNSS measurements on the Island of Hawaiʻi collected by the Hawaiian Volcano Observatory in 2025

description: This release includes data collected during campaign GNSS surveys at Kīlauea and Mauna Loa volcanoes on the Island of Hawaiʻi in 2025. It includes data from a total of 46 sites occupied from January 1 to August 15, 2025 (see note below). For each site, we include its measured raw data in daily files, Receiver INdependent EXchange (RINEX) files for each day, field log sheet(s), and associated metadata information. The authors thank USGS Hawaiian Volcano Observatory staff, volunteers, and collaborators for helping collect these data.

Note: No additional campaign measurements are planned for 2025, so the 2025 GNSS campaign data for the Island of Hawaiʻi are being released early due to staffing changes. Data from semi-permanent GNSS sites (sites 77FL, 109Y, MANU, OVRL, and PUL2) for January 01, 2025 through December 31, 2025 will be released separately in 2026.
DOI: 10.48539/hbm458.nswr.957
title: OMAP-1 Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Lymph Node with IBEX, v1.3

description: OMAP-1 was designed for IBEX (Iterative Bleaching Extends multi-pleXity) imaging of fixed frozen human lymph nodes<br>(https://doi.org/10.1038/s41596-021-00644-9; https://doi.org/10.1073/pnas.2018488117). The panel contains 39<br>antibodies and the nuclear marker Hoechst 33342 for image alignment and nuclear segmentation. his OMAP provides a<br>spatial context for all anatomical structures and most cell types present in the [ASCT+B lymph node table,<br>v1.1](https://doi.org/10.48539/HBM573.SHCQ.259). Additionally, the inclusion of protein biomarkers BCL2, CD10, CD138,<br>and CD44 allow profiling of lymph node disease states, e.g. follicular lymphoma and metastasis. The core and<br>prioritized OMAP targets detailed here overlap (~50-85%) with panels developed for multiplexed imaging of lymphoid<br>samples using other technologies and sample preparations (https://doi.org/10.7554/eLife.31657,<br>https://doi.org/10.1002/eji.202048891). This OMAP does not contain antibodies for typing pericytes, plasmacytoid<br>dendritic cells, or different T helper lineages (Th1, Th2, Th17). Beyond spatial mapping of healthy human lymph nodes,<br>this OMAP was used to characterize the tissue microenvironment of follicular lymphoma lymph nodes. For this study,<br>object-based cellular segmentation was performed using a convolutional neural network (CNN)-based approach with Mask<br>R-CNN architecture and ResNet-50 as a backbone. As an input three channels were used: Hoechst for nuclei, CD45 as a<br>base membrane, and composite of several other membrane markers (CD138, CD163, CD94, CD69, CD8, CD4). More details and<br>accompanying datasets associated with OMAP-1 can be found here (https://doi.org/10.1101/2022.06.03.494716,<br>https://doi.org/10.5281/zenodo.5244550). Several antibodies required custom conjugation by commercial suppliers or<br>antibody conjugation kits (e.g., AF532, Thermo A20182).
DOI: 10.48539/hbm723.wzwk.335
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Anatomical Systems, v1.2

description: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables (https://humanatlas.io/asctb-tables) aim to capture<br>anatomical human body parts, the typology of cells, and biomarkers used to identify cell types. The tables are<br>authored and reviewed by an international team of experts. The Anatomical Systems table serves as a hierarchical index<br>to other ASCT+B tables.
DOI: 10.48539/hbm475.rxgx.435
title: Anatomical Structures, Cell Types and Biomarkers (ASCT+B) Tables to 2D Functional Tissue Unit (FTU) Reference Object Library Crosswalk, v1.5

description: This lookup table maps [Anatomical Structures, Cell Types and Biomarkers (ASCT+B)<br>Table](https://humanatlas.io/asctb-tables) terms to anatomical structure and cell type terms used in the<br>[CCF-2D-reference-object-library](https://humanatlas.io/2d-ftu-illustrations).
DOI: 10.48539/hbm749.lthx.952
title: OMAP-5 Organ Mapping Antibody Panel (OMAP)  for Multiplexed Antibody-Based Imaging of Human Liver with SIMS, v1.2

description: OMAP-5 was designed for Secondary Ionization Mass Spectrometry (SIMS) imaging of fresh frozen human liver samples<br>(https://doi.org/10.1101/2022.09.26.508878). The panel contains 20 antibodies and a cationic nucleic acid intercalator<br>that contains natural-abundance iridium. An antibody directed against Na/K ATPase was used for cell segmentation and<br>image alignment. This OMAP provides spatial context for the anatomical structures, metabolic zonation, and cell types<br>present in the [ASCT+B liver table v1.0](https://doi.org/10.48539/HBM476.BQCC.574). This OMAP does not yet contain<br>antibodies for NK cells, dendritic cells, portal fibroblasts, MAIT cells, gamma delta T cells, and hepatic oval cells.<br>Antigens were detected using lanthanide tagged primary antibodies where the metal tags were detected by specific mass<br>channels using C60 SIMS. Details on the antibody staining method can be found here<br>(dx.doi.org/10.17504/protocols.io.b5qmq5u6). Image registration and cell segmentation were performed using Deepcell<br>(Keren et al.) Cell segmentation was performed using nuclear and membrane marker channels. Integrated protein<br>expression was used to determine thresholds for cellular classification. An antibody directed against EGFR was<br>originally included in OMAP-5 v1.0 and v1.1, but was removed due to inconsistent labeling.
DOI: 10.48539/hbm734.kxrl.243
title: 3D Reference Organ for Intestine, Large, Female, v1.0

description: [This reference organ](https://humanatlas.io/3d-reference-library) was created using data provided by Arie Kaufman,<br>Stony Brook University as a base for a custom model built using Pixelogic Zbrush.
DOI: 10.5281/zenodo.15991256
title: ReESH_US-CPk: Chimney Park

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-CPk: Chimney Park AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.15991257
title: ReESH_US-CPk: Chimney Park

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-CPk: Chimney Park AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.48539/hbm826.wxnc.743
title: OMAP-8: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Placenta with Imaging Mass Cytometry (IMC), v1.1

description: OMAP-8 was designed for Imaging Mass Cytometry (IMC) (https://pubmed.ncbi.nlm.nih.gov/24584193/) of formalin-fixed<br>paraffin-embedded (FFPE) human term-placenta samples. The tissue slides were prepared with a two-step antigen<br>retrieval process (pH 6 and pH 9, as described https://dx.doi.org/10.17504/protocols.io.bpwumpew). OMAP antibodies<br>validated by immunohistochemistry and IMC were conjugated to polymers containing metal isotopes. Conjugated antibodies<br>were used to stain processed human term-placenta tissue simultaneously. Regions of the processed tissue were then<br>acquired on the imaging mass cytometer (Hyperion; Standard BioTools) by laser ablation and visualized. The panel<br>contains 26 antibodies conjugated to unique metal isotopes and iridium marks the DNA. This OMAP provides a spatial<br>context for key placenta cell types in the [ASCT+B v.1.0<br>table](https://doi.org/10.48539/HBM446.WGLG.755). Single-cell RNA sequencing data were used to guide marker selection<br>for multiplexed tissue imaging. For example, ASCL2, HLA-G, PD-L1, CD68 and LYVE1 allow functionally specialized cell<br>types to be visualized and quantified in the placenta. Note that one of our core antibodies is to LYVE1 but, unlike in<br>other tissues where it is used to mark lymphatic vasculature, here we use it to mark the macrophage of the placenta<br>(Hofbauer cells) – there should be no lymphatics in the placenta.
DOI: 10.48539/hbm626.wzgs.532
title: 3D Reference Organ for Spleen, Female, v1.0

description: [This reference organ](https://humanatlas.io/3d-reference-library) was created using data from the Visible Human<br>Female provided by the National Library of Medicine.
DOI: 10.15468/dl.n68c5x
title: Occurrence Download

description: A dataset containing 4693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malpighia glabra",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4693 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053625-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive14693.20240916.9.1
title: Lactococcus lactis subsp. hordniae (ex Latorre-Guzman et al. 1977) Schleifer et al. 1986

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive14694.20240916.9.1
title: Lactococcus lactis (Lister 1873) Schleifer et al. 1986

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive14699.20240916.9.1
title: Lactococcus lactis (Lister 1873) Schleifer et al. 1986

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive14700.20240510.9
title: Lactococcus lactis (Lister 1873) Schleifer et al. 1986

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.14591858
title: Data underlying publication: Vegetation types shift physiological and phenological controls on carbon sink strength in a coastal zone

description: This dataset accompanying this publication includes eddy covariance data collected from three distinct vegetation sites in the Yellow River Delta, spanning 2011–2022. The sites represent tidal wetland, nontidal wetland, and cropland ecosystems, with long-term measurements of net ecosystem exchange (NEE) of CO2 and other environmental factors. The measured NEE data provides original flux measurements, while the processed NEE data has undergone rigorous procedures, such as despiking, coordinate rotation, frequency response loss correction, and gap filling, ensuring its usability for further analysis. The dataset serves as a foundation for analyzing the physiological and phenological mechanisms that regulate carbon cycling across coastal vegetation types.

This study revealed that although all studied vegetation types consistently acted as stable carbon sinks, their carbon sequestration capacities were influenced by distinct physiological (seasonal peaks of net CO2 uptake and release rate) and phenological (CO2 uptake period length) factors, both of which were regulated by dominant local climatic variables.