# Next release of the European Marine Omics Biodiversity Observation Network (EMO BON) shotgun metagenomic data from water and sediment samples
(Release 2)

Ioulia Santi, Christina Pavloudi, Maria Abagnale, Iñigo Azua, Zuriñe Baña, Mauro Bastianini, Caroline Belser, Kristel Berg, Jone Bilbao, Kimberley Bird, et al.

► To cite this version:

Ioulia Santi, Christina Pavloudi, Maria Abagnale, Iñigo Azua, Zuriñe Baña, et al. Next release of the European Marine Omics Biodiversity Observation Network (EMO BON) shotgun metagenomic data from water and sediment samples (Release 2). Biodiversity Data Journal, 2026, 14, pp.e178484. 10.3897/BDJ.14.e178484. [https://hal.science/hal-05480555v1](https://hal.science/hal-05480555v1)

HAL Id: hal-05480555

Submitted on 27 Jan 2026

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Next release of the European Marine Omics
Biodiversity Observation Network (EMO BON)
shotgun metagenomic data from water and
sediment samples (Release 2)

Ioulia Santi‡§, Christina Pavloudi‡, Maria Abagnale¹, Iñigo Azua¶,#, Zuriñe Baña¶,#, Mauro Bastianini²,  
Caroline Belser«, Kristel Berg», Jone Bilbao¶^, Kimberley Bird`, Caroline Broudin¹, Mathieu Camusat¹,  
Ibon Cancio¶`, Louis Caray-Couni`, Raffaella Casotti¹, Jade Castel¹, Thierry Comtet¢, Cymon J Cox¢,  
Michael Cunliffe`, Claire Daguin¢, Klaas DeneudtP, Oihane Díaz de Cerio¶', Katrina ExterP, Cécile  
Fauvelot', Yann Fontana¹, Miquel J FradaA, Pierre E Galand², Roberto Gallia¹, Laurence Garczarek¢,  
Jose González FernándezF, Laure Guillou¢, Hanneloor HeynderickxP, Gil KoplovitzA, Celine Labrune²,  
Rune LagaisseP, Arnaud Laroquette‡, Lyvia Lescure², Eva Lopes‡,N, Melina Loulakaki§, Bruno Louro¢,  
Catarina Magalhães‡,N, Francesca Margiotta¹, Hannah Moal¹, Alice MoussyK, Fabrice Not¢, Isabella  
Percopo¹, Estefania Paredes RosendoF, Erwan Péru², Julie Poulain`«,G, Kim Praebel», Fabienne  
Rigaut-Jalabert¹, Sarah Romac¢, Jadwiga Rzeznik-Orignac², Diana Sarnol, Jesús Souza TroncosoF,  
Eric Thiébaut`, Wilfried Thomas¹, Andrzej Tkacz², Ferdinando Tramontano¹, Anna Chiara Trano¹,  
Patrick Wincker`«,G, Nicolas Pade‡

‡ European Marine Biological Resource Centre (EMBRC-ERIC), Paris, France

§ Hellenic Center for Marine Research (HCMR), Institute of Marine Biology Biotechnology and Aquaculture (IMBBC), Heraklion, Greece

| Stazione Zoologica Anton Dohrn (SZN), Naples, Italy

¶ Plentzia Marine Station (PIE-UPV/EHU), University of the Basque Country (UPV/EHU), Plentzia, Spain

# Department of Immunology, Microbiology & Parasitology, University of the Basque Country (UPV/EHU), Plentzia, Spain

Institute of Marine Sciences (ISMAR) National Research Council of Italy (CNR), Venice, Italy

« Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay,
Evry, France

» Norwegian College of Fishery Science,UiT The Arctic University of Norway, Tromsø, Norway

^ Department of Plant Biology and Ecology, University of the Basque Country (UPV/EHU), Plentzia, Spain

The Marine Biological Association, Plymouth, United Kingdom

Sorbonne Université, CNRS, FR2424, Station Biologique de Roscoff, 29680 Roscoff, France

? CBET+ Research Group, Department of Zoology & Animal Cell Biology, University of the Basque Country (UPV/EHU),
Biscay, Spain

Sorbonne Université, CNRS, Laboratoire Océanographique de Villefranche-sur-mer, Villefranche sur mer, France

C Sorbonne Université, CNRS, UMR7144 AD2M, Station Biologique de Roscoff, 29680 Roscoff, France

Centro de Ciências do Mar do Algarve (CCMAR/CIMAR LA), Universidade do Algarve, Faro, Portugal

⁴ School of Biological and Marine Sciences, University of Plymouth, Plymouth, United Kingdom

P Flanders Marine Institute (VLIZ), Ostend, Belgium

A Interuniversity Institute for Marine Sciences in Eilat, Eilat, Israel

Sorbonne Université, CNRS, Laboratoire d'Ecogéochimie des Environnements Benthiques (LECOB),
Banyuls sur Mer, France

F Centro de Investigación Mariña (CIM), Universidade de Vigo, Vigo, Spain
† Faculty of Sciences of University of Porto, Porto, Portugal

N Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), Matosinhos, Portugal

K Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, Evry, France

© Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/ Tara Oceans-GOSEE, 3 rue Michel-Ange, Paris, France

? Sorbonne Université, CNRS, OSU STAMAR, Station Biologique de Roscoff, 29680 Roscoff, France

Corresponding author: Ioulia Santi (isanti@hcmr.gr)

Academic editor: Leonardo Fernandez

Received: 18 Nov 2025 | Accepted: 26 Dec 2025 | Published: 22 Jan 2026

Citation: Santi I, Pavloudi C, Abagnale M, Azua I, Baña Z, Bastianini M, Belser C, Berg K, Bilbao J, Bird K, Broudin C, Camusat M, Cancio I, Caray-Counil L, Casotti R, Castel J, Comtet T, Cox C, Cunliffe M, Daguin C, Deneudt K, Díaz de Cerio O, Exter K, Fauvelot C, Fontana Y, Frada M, Galand P, Gallia R, Garczarek L, González Fernández J, Guillou L, Heynderickx H, Koplovitz G, Labrune C, Lagaisse R, Laroquette A, Lescure L, Lopes E, Loulakaki M, Louro B, Magalhães C, Margiotta F, Moal H, Moussy A, Not F, Percopo I, Paredes Rosendo E, Péru E, Poulain J, Praebel K, Rigaut-Jalabert F, Romac S, Rzeznik-Orignac J, Sarno D, Souza Troncoso J, Thiébaut E, Thomas W, Tkacz A, Tramontano F, Trano AC, Wincker P, Pade N (2026) Next release of the European Marine Omics Biodiversity Observation Network (EMO BON) shotgun metagenomic data from water and sediment samples (Release 2). Biodiversity Data Journal 14: e178484.

https://doi.org/10.3897/BDJ.14.e178484

## Abstract

The European Marine Omics Biodiversity Observation Network (EMO BON) is a long-term genomic observatory run by the European Research Infrastructure European Marine Biological Resource Centre (EMBRC). It was established in 2021 to support the challenges of biodiversity observation and unsystematic management of biodiversity data in the European seas. EMO BON introduced and coordinated the systematic and harmonised observation of biodiversity amongst more than fourteen marine stations in the European coastline. Here, we report the next release (Release 2) of shotgun metagenomic data from seawater and sediment microbial communities.

## Keywords

metagenomics, marine biodiversity, ocean observation, water column, soft substrate, microorganisms

## Introduction

The advancement of marine biological observation needs to be built on long-term initiatives, able to produce data tackling not only the spatial, but also the temporal component of the dynamic biodiversity. The coordination across different entities and countries has always presented a challenge and a prerequisite for expanded observation capacity in space and time. Research Infrastructures (RIs), as part of the pan-European
scientific landscape, can play a substantial role in this by adding value for their members in providing services and resources, such as management and coordination of marine biological observation.

The EMBRC RI consolidated the marine genomics experience in its community and, therefore, established and coordinated the EMO BON network (Santi et al. 2023). The network widens the distribution of the observatories along the entire European coastline and includes a unique and broad coverage of habitats and longitudes, from the Arctic to the Red Sea. The different observatory stations are coordinated at the RI-level and act as nodes of one integrated network. In 2025, EMO BON is running its fifth year in operation, all the while sample collection and processing, data generation and management and network coordination progress continuously. The aspiration is to maintain the network for at least 10 years of systematic biodiversity observation.

## Value of the dataset

This work is the second set of genomic datasets of the EMO BON long-term observation network. It follows up from the first dataset that was realised in this journal in March 2025 (Pavloudi et al. 2025) and will be followed by future releases. All data releases are accompanied by a data publication describing the (meta-)data and their online location and allowing for maximum data re-usability and openness, exhibiting the value and potential impact in biodiversity observation research. This release includes raw shotgun metagenomic sequencing data from the seawater and the marine sediment collected between October and December 2021 from 13 observatories, across the European coast and in the Red Sea. The raw sequence data are deposited in and accessible through the European Nucleotide Archive (ENA) (O'Cathail et al. 2024), together with metadata associated with the sampling event, sample preparation, processing and sequencing procedures and a diverse set of measured environmental variables available, such as temperature, salinity and nutrient concentrations in the associated BioSamples (Courtot et al. 2021). Follow-up publications related to the EMO BON macro- and meio-benthos metabarcoding data are upcoming. In addition, it connects with the recent data release from the marine genetic monitoring programme ARMS-MBON (Autonomous Reef Monitoring Structure Marine Biodiversity Observation Network) (Daraghmeh et al. 2025) that was merged into EMO BON and the ARMS data releases that are in preparation (Pagnier et al. 2025).

The present dataset is part of a larger biodiversity time series dataset that is progressively being released in ENA and published in this journal. The impact of the whole dataset is predicted to appear after at least 5 years of data releases, as the value increases with the extension of the data's temporal range. The existence of a marine biodiversity dataset of this depth and quality, spanning at least 5 years and multiple coastal areas in Europe is expected to have a broad appeal, hence increasing the data users and applications.

In addition, this dataset aligns with the mission of the Ocean Biodiversity Information System (OBIS), to facilitate free and open access to biodiversity data and information on marine life. Data products generated after the bioinformatics analyses of this dataset will
include taxonomical and functional information and will be submitted in OBIS and in the Global Biodiversity Information Facility (GBIF), using the DNA extension of the Darwin Core standards. Following the data availability in OBIS and GBIF, the data products will be incorporated in the European Marine Observation and Data Network (EMODnet) and the European Digital Twin of the Ocean (EU DTO). This FAIR data flow into the EU DTO will allow, on one hand, to fill gaps in the current knowledge on biodiversity of the world's oceans and, on the other hand, to model and simulate the 'what if' scenarios, further advancing ocean knowledge and providing information for evidence-based policy-making.

The potential arising from the incorporation of genomic methodologies into marine observation is enormous. Out of many arguments outlining the added value of including genomics to the study of biodiversity in scientific publications (for example, Cordier et al. (2020), Pawlowski et al. (2022), Theissinger et al. (2023)), the most relevant and influential to the EMO BON initiative are the ability to early detect non-indigenous species, the identification of cryptic species and early life stages (e.g. larvae), the interaction amongst species, the study of evolutionary ecology and events shaping species diversity, the access to communities difficult to identify morphologically such as microorganisms and meiofauna, the exploration and explanation of biodiversity patterns across time and space including different communities, from microorganisms to macrobenthos and the response of biodiversity to ecosystem changes (for example, climate change and pollution). Furthermore, the metagenomic analyses of samples allow us to access data and, subsequently, information on function. This leads to additional scientific directions like bioprospecting and biotechnology research, community functioning across time and space and connection of communities functioning to ecosystem changes.

In this dataset, each material sample is represented by identical technical replicates, two of which are processed and sequenced using the exact same methodologies and workflow. The duplicate data can increase the quality of the whole sequencing dataset by allowing the assessment of the processing and sequencing procedures and providing an additional level of quality assurance.

The field of DNA-based environmental research is rapidly evolving and, thus, anticipating the future need for biodiversity re-assessments, another two technical replicates for each material sample are stored in the long-term. The long-term stored replicates can be processed in the future using new technologies or targeted scientific questions. Using the long-term stored samples will open a window in time and allow potential re-sequencing or usage of other omics technologies and combining with the data produced in the present.
# Methods

The sampling, sample and data processing methodologies are described in the first EMO BON dataset publication (Pavloudi et al. 2025). The procedures are also briefly described in the following subsections.

## Sampling

Seawater sampling was performed by following the Standard Operating Procedures (SOPs) included in the EMO BON Handbook (Santi et al. 2021) and in particular "WaSOP 1 (basic)". Subsurface seawater was collected using Niskin bottles, pre-filtered using 200 µm mesh to exclude particles > 200 µm. The pre-filtered seawater was sequentially filtered through 3 µm and 0.2 µm polycarbonate filter membranes; this produced two seawater samples including particles of different size fractions: 3-200 µm and 0.2-3 µm. Each of the membranes was subsequently cut into two equal pieces using a sterile scalpel; each cut membrane was considered to represent one technical replicate. The sequential filtration took place two separate times producing 2 X the 3-200 µm and 0.2-3 µm membranes, which were then cut into two pieces of equal size, finally generating four technical replicates [First sequential filtration: 3-200 µm membrane cut in half to generate 3-200 µm replicates (1) and (2); and 0.2-3 µm membrane cut in half to generate 0.2-3 µm replicates (1) and (2). Second sequential filtration: 3-200 µm membrane cut in half to generate 3-200 µm replicates (3) and (4); and 0.2-3 µm membrane cut in half to generate 0.2-3 µm replicates (3) and (4)]. Replicates (1) and (2) were preserved in individual tubes using the DNA/RNA shield preservative (Zymo Research) and stored at -80°C until shipment to the sequencing facility. Replicates (3) and (4) were preserved in cryotubes without the addition of DNA/RNA Shield and stored at -80°C for long-term storage.

Sediment was collected by following the Standard Operating Procedures (SOPs) included in the EMO BON Handbook (Santi et al. 2021). In particular, "SoSOP 1 (intertidal sediments)" was followed by the observatories NRMCB and RFormosa, "SoSOP 2 (coastal sediments by diving)" was followed by the observatories ROSKOGO and OOB, "SoSOP 3 (coastal sediments by research vessel)" was followed by the observatory BPNS. In all SOPs, sediment was sampled (or subsampled from the sediment grab in SoSOP 3) using sediment corers. The top 5 cm were sliced, gently homogenised and subsamples were placed in individual tubes to represent four technical replicates. Similarly to the seawater approach, replicates (1) and (2) were preserved in DNA/RNA Shield and stored at -80°C until shipment to the sequencing facility; replicates (3) and (4) were preserved in cryotubes without the addition of DNA/RNA Shield and stored at -80°C for long-term storage.

## Geographic range

EMO BON observatories are operating in each of the EMBRC member countries in the EU. This dataset includes data from Norway, Belgium, UK (former EMBRC member), France, Spain, Portugal, Italy and Israel. The geographic range of the dataset includes 14
locations across eight marine ecoregions, based on the Marine Ecoregions of the World (MEOW) (Spalding et al. 2007) (Table 1, Fig. 1). The locality of the observatories is also described using standardised georeferenced terms from the Marine Regions (Flanders Marine Institute 2025), from the broader (ocean/sea) to the regional and the local level (Table 1, Fig. 1). This dataset includes data from the observatory IUIEilat located in the Gulf of Eilat, Indian Ocean, which falls outside the primary European focus of this study.

<caption>Table 1.</caption>

Coordinates, locality, sampling type (seawater and/or sediment) and number of samples for the operational observatories sampling sites.

<table><thead><tr><th>Observatory</th><th>Coordinates</th><th>Ocean/Sea</th><th>Region</th><th>Location</th><th>Marine Ecoregion of the World (MEOW)</th><th>Seawater sampling</th><th>Sediment sampling</th><th>Total Number of samples in this batch</th><th>Number of successfully sequenced samples</th></tr></thead><tbody><tr><td>AAOT</td><td>45.31417N; 12.508333E</td><td>Mediterranean Sea - Eastern Basin</td><td>Adriatic Sea</td><td>Gulf of Venice</td><td>Adriatic Sea</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>BPNS</td><td>51.43333N; 2.808331E</td><td>North Atlantic Ocean</td><td>North Sea</td><td>Belgian part of the North Sea</td><td>North Sea</td><td>Yes</td><td>Yes</td><td>12</td><td>12</td></tr><tr><td>EMT21</td><td>42.20194N; -8.798500W</td><td>Atlantic Ocean</td><td>North Atlantic Ocean</td><td>Vigo Seamount</td><td>South European Atlantic Shelf</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>ESC68N</td><td>68.92589N; 17.125619E</td><td>Arctic Ocean</td><td>Norwegian Sea</td><td>Norwegian part of the Norwegian Sea</td><td>Northern Norway and Finnmark</td><td>Yes</td><td></td><td>8</td><td>2</td></tr><tr><td>IUIEilat</td><td>29.50000N; 34.916667E</td><td>Indian Ocean</td><td>Gulf of Eilat</td><td>Gulf of Eilat</td><td>Northern and Central Red Sea</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>NRMCB</td><td>40.80014N; 14.250000E</td><td>Mediterranean Sea - Western Basin</td><td>Tyrrhenian Sea</td><td>Naples Gulf</td><td>Western Mediterranean</td><td>Yes</td><td>Yes</td><td>8</td><td>12</td></tr><tr><td>OOB</td><td>42.489N; 3.143E</td><td>Mediterranean Sea - Western Basin</td><td>Gulf of Lion</td><td>Bay of Banyuls-sur-Mer</td><td>Western Mediterranean</td><td></td><td>Yes</td><td>4</td><td>2</td></tr></tbody></table>
<table><thead><tr><th>Observatory</th><th>Coordinates</th><th>Ocean/Sea</th><th>Region</th><th>Location</th><th>Marine Ecoregion of the World (MEOW)</th><th>Seawater sampling</th><th>Sediment sampling</th><th>Total Number of samples in this batch</th><th>Number of successfully sequenced samples</th></tr></thead><tbody><tr><td>OSD74</td><td>41.14653N; -8.666639W</td><td>Atlantic Ocean</td><td>North Atlantic Ocean</td><td>Porto Valley</td><td>South European Atlantic Shelf</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>PiEGetxo</td><td>43.33858N; -3.014639W</td><td>North Atlantic Ocean</td><td>Bay of Biscay</td><td>Abra de Bilbao</td><td>South European Atlantic Shelf</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>RFormosa</td><td>37.00564N; -7.969250W</td><td>Atlantic Ocean</td><td>North Atlantic Ocean</td><td>Ria Formosa</td><td>South European Atlantic Shelf</td><td>Yes</td><td>Yes</td><td>12</td><td>12</td></tr><tr><td>ROSKOGO</td><td>48.70833N; -3.866000W</td><td>North Atlantic Ocean</td><td>English Channel</td><td>French part of the English Channel</td><td>Celtic Seas</td><td></td><td>Yes</td><td>4</td><td>4</td></tr><tr><td>ROSKOGO</td><td>48.77167N; -3.968333W</td><td>North Atlantic Ocean</td><td>English Channel</td><td>French part of the English Channel</td><td>Celtic Seas</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>VB</td><td>43.68300N; 7.317000E</td><td>Mediterranean Sea - Western Basin</td><td>Villefranche Bay</td><td>Villefranche Bay - Point B</td><td>Western Mediterranean</td><td>Yes</td><td></td><td>8</td><td>8</td></tr><tr><td>MBAL4</td><td>50.25N; -4.217W</td><td>North Atlantic Ocean</td><td>English Channel</td><td>Western Channel</td><td>Celtic Seas</td><td>Yes</td><td></td><td>8</td><td>8</td></tr></tbody></table>

## Temporal range

This dataset includes samples collected from October to December 2021.

## Sample processing

### DNA extraction, library preparation and sequencing

DNA extraction, library preparation and sequencing were collectively performed at the Genoscope French National Sequencing Centre and are described in detail in the first EMO BON dataset publication (Pavloudi et al. 2025). Brief description of sample processing are included here. The water column samples were extracted according to
Alberti et al. (2017): manual cell disruption by cryogenic grinding of membrane filters followed by chemical lysis and nucleic acid purification using NucleoSpin RNA Kits, combined with the NucleoSpin RNA/DNA buffer set (Macherey-Nagel, Düren, Germany). The sediment samples were extracted using the DNeasy PowerSoil Pro Kit (Qiagen) with slight modifications.

Fragments of ~350 bp were obtained by sonication. After freebarcodes adapters were added, ligation products were purified using beads and Illumina specific adapters were added by PCR amplifications (2 PCR reactions, 14 cycles). Libraries were quantified and their size profiles analysed prior to sequencing.

<figure><img src="image_3.png" /><figcaption>Figure 1. doi</figcaption></figure>

Map of EMO BON observatory sampling sites for sediment (triangle ▲), seawater (circle ●) and both seawater and sediment (square ■), included in this dataset. Observatory IUIEilat located in the Gulf of Eilat, Indian Ocean, falls outside the primary European focus of this study.

Sequencing was performed using 151-bp pairwise read chemistry on an Illumina NovaSeq6000 sequencer, using S4 Flowcells (Illumina, San Diego, CA, USA). A minimum of 40,000 million useful paired-end reads were obtained per sample. Short Illumina reads were bioinformatically post-processed *sensu* Alberti et al. (2017) to filter out low-quality data. Finally, read pairs mapping to the phage phiX genome were identified and discarded using SOAP aligner (Li et al. (2008), default parameters) and the Enterobacteria phage PhiX174 reference sequence (GenBank: NC_001422.1)
# Biodiversity scope

## Target

Microbial Prokaryotic and Eukaryotic biodiversity in the marine environment.

## Taxonomic range

Archaea, Bacteria, Eukaryota

## Data Resources

Details for the samples can be found in Suppl. material 1. All the raw sequence files of this study were submitted to ENA (O'Cathail et al. 2024) with the umbrella study accession number [PRJEB51688](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678). The accession numbers of the component projects under the umbrella study are [PRJEB51656](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/1), [PRJEB51652](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/2), [PRJEB51653](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/3), [PRJEB51657](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/4), [PRJEB50566](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/5), [PRJEB51664](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/6), [PRJEB51662](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/7), [PRJEB51654](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/8), [PRJEB51660](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/9), [PRJEB51661](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/10), [PRJEB51658](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/11), [PRJEB51665](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/12), and [PRJEB51659](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/13). All sampling events and environmental data, linked to the respective accession numbers, are also available to browse and download from [EMO BON's data landing page](https://data.lanl.gov/cdms accession number [PRJEB51688](https://www.ncbi.nlm.nih.gov/uffc/ERR148/078/ERR14888678/1).fastq.gz).

## Resource 1

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/078/ERR14888678/ERR14888678_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/078/ERR14888678/ERR14888678_2.fastq.gz

### Resource identifier

ERR14888678

### Data format

FASTQ
## Resource 2

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/080/ERR14888680/ERR14888680_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/080/ERR14888680/ERR14888680_2.fastq.gz

### Resource identifier

ERR14888680

### Data format

FASTQ

## Resource 3

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/081/ERR14888681/ERR14888681_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/081/ERR14888681/ERR14888681_2.fastq.gz

### Resource identifier

ERR14888681

### Data format

FASTQ

## Resource 4

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/082/ERR14888682/ERR14888682_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/082/ERR14888682/ERR14888682_2.fastq.gz
**Resource identifier**

ERR14888682

**Data format**

FASTQ

**Resource 5**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/083/ERR14888683/ERR14888683_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/083/ERR14888683/ERR14888683_2.fastq.gz

**Resource identifier**

ERR14888683

**Data format**

FASTQ

**Resource 6**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/084/ERR14888684/ERR14888684_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/084/ERR14888684/ERR14888684_2.fastq.gz

**Resource identifier**

ERR14888684

**Data format**

FASTQ
## Resource 7

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/085/ERR14888685/ERR14888685_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/085/ERR14888685/ERR14888685_2.fastq.gz

### Resource identifier

ERR14888685

### Data format

FASTQ

## Resource 8

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/067/ERR14888767/ERR14888767_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/067/ERR14888767/ERR14888767_2.fastq.gz

### Resource identifier

ERR14888767

### Data format

FASTQ

## Resource 9

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/068/ERR14888768/ERR14888768_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/068/ERR14888768/ERR14888768_2.fastq.gz

### Resource identifier
ERR14888768

Data format

FASTQ

Resource 10

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/069/ERR14888769/ERR14888769_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/069/ERR14888769/ERR14888769_2.fastq.gz

Resource identifier

ERR14888769

Data format

FASTQ

Resource 11

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/070/ERR14888770/ERR14888770_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/070/ERR14888770/ERR14888770_2.fastq.gz

Resource identifier

ERR14888770

Data format

FASTQ
## Resource 12

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/071/ERR14888771/ERR14888771_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/071/ERR14888771/ERR14888771_2.fastq.gz

### Resource identifier

ERR14888771

### Data format

FASTQ

## Resource 13

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/072/ERR14888772/ERR14888772_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/072/ERR14888772/ERR14888772_2.fastq.gz

### Resource identifier

ERR14888772

### Data format

FASTQ

## Resource 14

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/073/ERR14888773/ERR14888773_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/073/ERR14888773/ERR14888773_2.fastq.gz
Resource identifier

ERR14888773

Data format

FASTQ

Resource 15

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/074/ERR14888774/ERR14888774_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/074/ERR14888774/ERR14888774_2.fastq.gz

Resource identifier

ERR14888774

Data format

FASTQ

Resource 16

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/075/ERR14888775/ERR14888775_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/075/ERR14888775/ERR14888775_2.fastq.gz

Resource identifier

ERR14888775

Data format

FASTQ
## Resource 17

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/076/ERR14888776/ERR14888776_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/076/ERR14888776/ERR14888776_2.fastq.gz

### Resource identifier

ERR14888776

### Data format

FASTQ

## Resource 18

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/077/ERR14888777/ERR14888777_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/077/ERR14888777/ERR14888777_2.fastq.gz

### Resource identifier

ERR14888777

### Data format

FASTQ

## Resource 19

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/078/ERR14888778/ERR14888778_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/078/ERR14888778/ERR14888778_2.fastq.gz
**Resource identifier**

ERR14888778

**Data format**

FASTQ

**Resource 20**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/088/ERR14888788/ERR14888788_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/088/ERR14888788/ERR14888788_2.fastq.gz

**Resource identifier**

ERR14888788

**Data format**

FASTQ

**Resource 21**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/089/ERR14888789/ERR14888789_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/089/ERR14888789/ERR14888789_2.fastq.gz

**Resource identifier**

ERR14888789

**Data format**

FASTQ
## Resource 22

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/090/ERR14888790/ERR14888790_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/090/ERR14888790/ERR14888790_2.fastq.gz

### Resource identifier

ERR14888790

### Data format

FASTQ

## Resource 23

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/091/ERR14888791/ERR14888791_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/091/ERR14888791/ERR14888791_2.fastq.gz

### Resource identifier

ERR14888791

### Data format

FASTQ

## Resource 24

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/092/ERR14888792/ERR14888792_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/092/ERR14888792/ERR14888792_2.fastq.gz
**Resource identifier**

ERR14888792

**Data format**

FASTQ

**Resource 25**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/093/ERR14888793/ERR14888793_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/093/ERR14888793/ERR14888793_2.fastq.gz

**Resource identifier**

ERR14888793

**Data format**

FASTQ

**Resource 26**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/094/ERR14888794/ERR14888794_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/094/ERR14888794/ERR14888794_2.fastq.gz

**Resource identifier**

ERR14888794

**Data format**

FASTQ
## Resource 27

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/095/ERR14888795/ERR14888795_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/095/ERR14888795/ERR14888795_2.fastq.gz

### Resource identifier

ERR14888795

### Data format

FASTQ

## Resource 28

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/059/ERR14888759/ERR14888759_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/059/ERR14888759/ERR14888759_2.fastq.gz

### Resource identifier

ERR14888759

### Data format

FASTQ

## Resource 29

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/060/ERR14888760/ERR14888760_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/060/ERR14888760/ERR14888760_2.fastq.gz
**Resource identifier**

ERR14888760

**Data format**

FASTQ

**Resource 30**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/061/ERR14888761/ERR14888761_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/061/ERR14888761/ERR14888761_2.fastq.gz

**Resource identifier**

ERR14888761

**Data format**

FASTQ

**Resource 31**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/062/ERR14888762/ERR14888762_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/062/ERR14888762/ERR14888762_2.fastq.gz

**Resource identifier**

ERR14888762

**Data format**

FASTQ
## Resource 32

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/063/ERR14888763/ERR14888763_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/063/ERR14888763/ERR14888763_2.fastq.gz

### Resource identifier

ERR14888763

### Data format

FASTQ

## Resource 33

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/064/ERR14888764/ERR14888764_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/064/ERR14888764/ERR14888764_2.fastq.gz

### Resource identifier

ERR14888764

### Data format

FASTQ

## Resource 34

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/065/ERR14888765/ERR14888765_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/065/ERR14888765/ERR14888765_2.fastq.gz
Resource identifier

ERR14888765

Data format

FASTQ

Resource 35

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/066/ERR14888766/ERR14888766_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/066/ERR14888766/ERR14888766_2.fastq.gz

Resource identifier

ERR14888766

Data format

FASTQ

Resource 36

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/096/ERR14888796/ERR14888796_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/096/ERR14888796/ERR14888796_2.fastq.gz

Resource identifier

ERR14888796

Data format

FASTQ
## Resource 37

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/097/ERR14888797/ERR14888797_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/097/ERR14888797/ERR14888797_2.fastq.gz

### Resource identifier

ERR14888797

### Data format

FASTQ

## Resource 38

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/098/ERR14888798/ERR14888798_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/098/ERR14888798/ERR14888798_2.fastq.gz

### Resource identifier

ERR14888798

### Data format

FASTQ

## Resource 39

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/099/ERR14888799/ERR14888799_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/099/ERR14888799/ERR14888799_2.fastq.gz
Resource identifier

ERR14888799

Data format

FASTQ

Resource 40

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/000/ERR14888800/ERR14888800_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/000/ERR14888800/ERR14888800_2.fastq.gz

Resource identifier

ERR14888800

Data format

FASTQ

Resource 41

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/001/ERR14888801/ERR14888801_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/001/ERR14888801/ERR14888801_2.fastq.gz

Resource identifier

ERR14888801

Data format

FASTQ
## Resource 42

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/002/ERR14888802/ERR14888802_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/002/ERR14888802/ERR14888802_2.fastq.gz

### Resource identifier

ERR14888802

### Data format

FASTQ

## Resource 43

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/003/ERR14888803/ERR14888803_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/003/ERR14888803/ERR14888803_2.fastq.gz

### Resource identifier

ERR14888803

### Data format

FASTQ

## Resource 44

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/004/ERR14888804/ERR14888804_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/004/ERR14888804/ERR14888804_2.fastq.gz
Resource identifier

ERR1488804

Data format

FASTQ

Resource 45

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/005/ERR1488805/ERR1488805_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/005/ERR1488805/ERR1488805_2.fastq.gz

Resource identifier

ERR1488805

Data format

FASTQ

Resource 46

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/006/ERR1488806/ERR1488806_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/006/ERR1488806/ERR1488806_2.fastq.gz

Resource identifier

ERR1488806

Data format

FASTQ
## Resource 47

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/007/ERR14888807/ERR14888807_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/007/ERR14888807/ERR14888807_2.fastq.gz

### Resource identifier

ERR14888807

### Data format

FASTQ

## Resource 48

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/008/ERR14888808/ERR14888808_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/008/ERR14888808/ERR14888808_2.fastq.gz

### Resource identifier

ERR14888808

### Data format

FASTQ

## Resource 49

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/009/ERR14888809/ERR14888809_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/009/ERR14888809/ERR14888809_2.fastq.gz
### Resource identifier

ERR14888809

### Data format

FASTQ

## Resource 50

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/010/ERR14888810/ERR14888810_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/010/ERR14888810/ERR14888810_2.fastq.gz

### Resource identifier

ERR14888810

### Data format

FASTQ

## Resource 51

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/011/ERR14888811/ERR14888811_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/011/ERR14888811/ERR14888811_2.fastq.gz

### Resource identifier

ERR14888811

### Data format

FASTQ
## Resource 52

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/097/ERR14888897/ERR14888897_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/097/ERR14888897/ERR14888897_2.fastq.gz

### Resource identifier

ERR14888897

### Data format

FASTQ

## Resource 53

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/098/ERR14888898/ERR14888898_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/098/ERR14888898/ERR14888898_2.fastq.gz

### Resource identifier

ERR14888898

### Data format

FASTQ

## Resource 54

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/099/ERR14888899/ERR14888899_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/099/ERR14888899/ERR14888899_2.fastq.gz
**Resource identifier**

ERR1488899

**Data format**

FASTQ

**Resource 55**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/000/ERR14888900/ERR14888900_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/000/ERR14888900/ERR14888900_2.fastq.gz

**Resource identifier**

ERR14888900

**Data format**

FASTQ

**Resource 56**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/001/ERR14888901/ERR14888901_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/001/ERR14888901/ERR14888901_2.fastq.gz

**Resource identifier**

ERR14888901

**Data format**

FASTQ
Resource 57

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/002/ERR14888902/ERR14888902_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/002/ERR14888902/ERR14888902_2.fastq.gz

Resource identifier

ERR14888902

Data format

FASTQ

Resource 58

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/003/ERR14888903/ERR14888903_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/003/ERR14888903/ERR14888903_2.fastq.gz

Resource identifier

ERR14888903

Data format

FASTQ

Resource 59

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/004/ERR14888904/ERR14888904_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/004/ERR14888904/ERR14888904_2.fastq.gz
Resource identifier

ERR14888904

Data format

FASTQ

Resource 60

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/005/ERR14888905/ERR14888905_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/005/ERR14888905/ERR14888905_2.fastq.gz

Resource identifier

ERR14888905

Data format

FASTQ

Resource 61

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/006/ERR14888906/ERR14888906_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/006/ERR14888906/ERR14888906_2.fastq.gz

Resource identifier

ERR14888906

Data format

FASTQ
## Resource 62

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/007/ERR14888907/ERR14888907_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/007/ERR14888907/ERR14888907_2.fastq.gz

### Resource identifier

ERR14888907

### Data format

FASTQ

## Resource 63

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/008/ERR14888908/ERR14888908_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/008/ERR14888908/ERR14888908_2.fastq.gz

### Resource identifier

ERR14888908

### Data format

FASTQ

## Resource 64

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/000/ERR14888600/ERR14888600_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/000/ERR14888600/ERR14888600_2.fastq.gz
**Resource identifier**

ERR14888600

**Data format**

FASTQ

**Resource 65**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/001/ERR14888601/ERR14888601_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/001/ERR14888601/ERR14888601_2.fastq.gz

**Resource identifier**

ERR14888601

**Data format**

FASTQ

**Resource 66**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/079/ERR14888779/ERR14888779_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/079/ERR14888779/ERR14888779_2.fastq.gz

**Resource identifier**

ERR14888779

**Data format**

FASTQ
## Resource 67

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/080/ERR14888780/ERR14888780_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/080/ERR14888780/ERR14888780_2.fastq.gz

### Resource identifier

ERR14888780

### Data format

FASTQ

## Resource 68

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/081/ERR14888781/ERR14888781_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/081/ERR14888781/ERR14888781_2.fastq.gz

### Resource identifier

ERR14888781

### Data format

FASTQ

## Resource 69

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/082/ERR14888782/ERR14888782_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/082/ERR14888782/ERR14888782_2.fastq.gz
**Resource identifier**

ERR14888782

**Data format**

FASTQ

**Resource 70**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/083/ERR14888783/ERR14888783_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/083/ERR14888783/ERR14888783_2.fastq.gz

**Resource identifier**

ERR14888783

**Data format**

FASTQ

**Resource 71**

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/084/ERR14888784/ERR14888784_1.fastq.gz

**Download URL**

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/084/ERR14888784/ERR14888784_2.fastq.gz

**Resource identifier**

ERR14888784

**Data format**

FASTQ
## Resource 72

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/085/ERR14888785/ERR14888785_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/085/ERR14888785/ERR14888785_2.fastq.gz

### Resource identifier

ERR14888785

### Data format

FASTQ

## Resource 73

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/086/ERR14888786/ERR14888786_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/086/ERR14888786/ERR14888786_2.fastq.gz

### Resource identifier

ERR14888786

### Data format

FASTQ

## Resource 74

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/070/ERR14888970/ERR14888970_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/070/ERR14888970/ERR14888970_2.fastq.gz
### Resource identifier

ERR14888970

### Data format

FASTQ

## Resource 75

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/072/ERR14888972/ERR14888972_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/072/ERR14888972/ERR14888972_2.fastq.gz

### Resource identifier

ERR14888972

### Data format

FASTQ

## Resource 76

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/073/ERR14888973/ERR14888973_1.fastq.gz

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/073/ERR14888973/ERR14888973_2.fastq.gz

### Resource identifier

ERR14888973

### Data format

FASTQ
## Resource 77

### Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/074/ERR14888974/ERR14888974_1.fastq.gz

### Download URL

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ERR14888965

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ERR14888969

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FASTQ

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FASTQ

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ERR14888715

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FASTQ

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ERR14888849

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FASTQ

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ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/050/ERR14888850/ERR14888850_2.fastq.gz

Resource identifier

ERR14888850

Data format

FASTQ
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ERR14888851

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FASTQ

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ERR14888852

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FASTQ

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ERR14888853

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FASTQ

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ERR14888854

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FASTQ

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ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/055/ERR14888855/ERR14888855_2.fastq.gz

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ERR14888855

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FASTQ
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ftp.sra.ebi.ac.uk/vol1/fastq/ERR148/056/ERR14888856/ERR14888856_2.fastq.gz

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ERR14888856

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FASTQ

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FASTQ

## Usage Rights

CC BY 4.0

## Acknowledgements

This work used resources provided by the European Marine Omics Biodiversity Observation Network (EMO BON) project, coordinated by the European Marine Biological
Resource Centre - European Research Infrastructure Consortium (EMBRC-ERIC). For the SZN observatory (NRMCB), the captain and crew of RV Vettoria, Carmen Minucci and the NEREA Team (www.nerea-observatory.org) are acknowledged for support to sampling. For the BPNS observatory, captain and crew of RV Simon Stevin are acknowledged for operational support and FWO I002021N and I001621N for funding. For the CCMAR observatory (RFormosa), this study received Portuguese national funds from FCT - Foundation for Science and Technology through UID/04326/2025, UID/PRR/04326/2025 and LA/P/0101/2020 (DOI: 10.54499/LA/P/0101/2020) and from the operational programmes CRESC Algarve 2020 and COMPETE 2020 through contracts EMBRC.PT ALG-01-0145-FEDER-022121 and BIODATA.PT ALG-01-0145-FEDER-022231. For the PiE-UPV/EHU observatory (PiEGetxo), we acknowledge the Grant to consolidated research projects of the Basque Government (IT1743-22; IT1657-22 and IT1471-22). For the Station Biologique de Roscoff (SBR) observatory (ROSKOGO), the captain and crew of RV Neomysis, Stéphanie Cabioch, Noël Guidal, Arnaud Perrey and the Service Mer et Plongée Team are acknowledged for operational support to sampling. This work was also supported by Genoscope, the Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA), funded as part of the «Investissements d'Avenir» programme managed by the Agence Nationale pour la Recherche (contract ANR-10-INBS-09).

## Conflicts of interest

The authors have declared that no competing interests exist.

## References

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# Supplementary material

## Suppl. material 1: ENA accession numbers [doi](#)

**Authors:** Christina Pavloudi

**Data type:** metadata

**Brief description:** ENA accession numbers (sample, experiment, run, project and umbrella project) for the EMO BON shotgun metagenomics data release from seawater and sediment samples (batch_2, second release).

[Download file](#) (15.30 kb)