Skip to main content
Data in Brief logoLink to Data in Brief
. 2021 Feb 27;35:106920. doi: 10.1016/j.dib.2021.106920

Relative abundances of benthic foraminifera in response to total organic carbon in sediments: Data from European intertidal areas and transitional waters

Vincent MP Bouchet a,, Fabrizio Frontalini b, Fabio Francescangeli c, Pierre-Guy Sauriau d, Emmanuelle Geslin e, Maria Virginia Alves Martins f,g, Ahuva Almogi-Labin h, Simona Avnaim-Katav i, Letizia Di Bella j, Alejandro Cearreta k, Rodolfo Coccioni b, Ashleigh Costelloe l, Margarita D Dimiza m, Luciana Ferraro n, Kristin Haynert o, Michael Martínez-Colón p,q, Romana Melis r, Magali Schweizer e, Maria V Triantaphyllou m, Akira Tsujimoto s, Brent Wilson t, Eric Armynot du Châtelet u
PMCID: PMC7967008  PMID: 33748362

Abstract

We gathered total organic carbon (%) and relative abundances of benthic foraminifera in intertidal areas and transitional waters from the English Channel/European Atlantic Coast (587 samples) and the Mediterranean Sea (301 samples) regions from published and unpublished datasets. This database allowed to calculate total organic carbon optimum and tolerance range of benthic foraminifera in order to assign them to ecological groups of sensitivity. Optima and tolerance range were obtained by mean of the weighted-averaging method. The data are related to the research article titled “Indicative value of benthic foraminifera for biomonitoring: assignment to ecological groups of sensitivity to total organic carbon of species from European intertidal areas and transitional waters” [1].

Keywords: Living Benthic foraminifera, Relative abundances, Total organic carbon, Intertidal areas, Transitional waters, English channel, European atlantic coast, Mediterranean sea

Specifications Table

Subject Ecology
Specific subject area Environmental Monitoring
Type of data Tables and Figures
How data were acquired Data available with peer-reviewed journal articles and unpublished data.
The weighted-averaging (WA) optimum and tolerance approach was used [2,3] using the optimos.prime R package [4]; as well as the AMBI formula [5]. Statistics were done with the statistical language R version 3.6.3 [6].
Data format Primary data
Secondary data
Parameters for data collection The aim was to collect data on total organic carbon (TOC) and benthic foraminifera in order to classify benthic foraminifera in ecological groups of sensitivity to TOC [5]. Studies had to fulfill the following criteria: 1) coming from the English Channel, the French, Spanish and Portuguese Atlantic coasts and the Mediterranean Sea, 2) sampled from intertidal areas and transitional waters (TWs), 3) based on living foraminifera, 4) TOC sample must come from the same site at the same date as foraminiferal sample, 5) only samples containing >50 living stained specimens were considered.
If only organic matter content (%) was provided, it was converted to TOC using the following formula: LOI (loss-on-ignition) = ~2 TOC [7,8].
When foraminiferal raw counts or abundances were available, there were transformed to relative abundances.
Description of data collection Primary data – Data from unpublished studies (studies 1, 3, 6, 7, 8, 9, 10) were provided by their authors. When the raw data were not published with the peer-reviewed publication (studies 13, 33 and 41), the authors were contacted to provide us with the raw data.
Secondary data – When available, relative abundances data were downloaded from online sources where the study was published. When only raw counts or abundances were published, foraminiferal data were transformed to relative abundances.
We standardized species names according to the World Registry of Marine Species (WoRMS). All data processing and analysis was done in the open-source software R.
Data source location Secondary data sources: The full list of data sources is available at https://data.mendeley.com/datasets/stjfr9xvxg/1
Data accessibility The database is available on Mendeley: Bouchet, Vincent; Frontalini, Fabrizio; Francescangeli, Fabio; Sauriau, Pierre-Guy; Geslin, Emmanuelle; Martins, Virginia; Almogi-Labin, Ahuva; Avnaim-Katav, Simona; Di Bella, Letizia; Cearreta, Alejandro; Coccioni, Rodolfo; Costelloe, Ashleigh; Dimiza, Margarita; Ferraro, Luciana; Haynert, Kristin; Martinez-Colon, Michael; Melis, Romana; Schweizer, Magali; Triantaphyllou, Maria; Tsujimoto, Akira; Wilson, Brent; Armynot du Châtelet, Eric (2021), “Living foraminifera relative abundances and total organic carbon in European Atlantic intertidal and transitional areas”, Mendeley Data, V1, http://dx.doi.org/10.17632/stjfr9xvxg.1
http://dx.doi.org/10.17632/stjfr9xvxg.1
Related research article V.M.P. Bouchet, F. Frontalini, F. Francescangeli, P.-G. Sauriau, E. Geslin, M.V.A. Martins, A. Almogi-Labin, S. Avnaim-Katav, L. Di Bella, A. Cearreta, R. Coccioni, A. Costelloe, M.D. Dimiza, L. Ferraro, K. Haynert, M. Martínez-Colón, R. Melis, M. Schweizer, M.V. Triantaphyllou, A. Tsujimoto, B. Wilson, E. Armynot du Châtelet, Indicative value of benthic foraminifera for biomonitoring: assignment to ecological groups of sensitivity to total organic carbon of species from European intertidal areas and transitional waters, Mar. Poll. Bull. 164 (2021) 112071. https://doi.org/10.1016/j.marpolbul.2021.112071

Value of the Data

  • The data of relative abundances of living benthic foraminifera in European intertidal areas and transitional waters allows assessing the response of the species to total organic carbon contained in the sediment over a large geographical scale.

  • The assignment of benthic foraminiferal species to ecological groups of sensitivity to total organic carbon have further implication for environmental monitoring.

  • In the present study database, foraminiferal species names and data format were standardised to species concept from the World Register of Marine Species and to relative abundances, respectively.

  • These data might be re-used to further assess and improve our understanding of the biogeographical distribution patterns of benthic foraminifera in European intertidal areas and transitional waters over a large latitudinal range.

1. Data Description

The present study database (available in Mendeley: http://dx.doi.org/10.17632/stjfr9xvxg.1), composed of primary and secondary data, summarizes the total organic carbon content in sediment (%) and the relative abundances (%) of benthic foraminiferal species in European intertidal areas and transitional waters (French coast of the English Channel, European Atlantic Coast and the Mediterranean Sea) extracted from 35 primary peer-reviewed articles and seven unpublished grey literature that met the inclusion criteria for the related meta-analysis [1] (see meta-data in Table 1). In the English Channel/European Atlantic Coast, selected study sites included eight classical estuaries, four coastal freshwater/brackish water plumes, two artificial water bodies and two Rias (Fig. 1; see definition of each body type in Table 1 in [1] according to [9,10]). In the Mediterranean Sea, one delta, six lentic non-tidal lagoons, four lentic tidal lagoons, one artificial water body, seven semi-enclosed bays and one classical estuary were considered (Fig. 1).

Table 1.

Meta-data of the different selected studies. Full details of primary and secondary data sources are available at https://data.mendeley.com/datasets/stjfr9xvxg/1.

Dataset Region Country Local study area Related foraminiferal study Related Total Organic Carbon study Sample code description Tidal condition Year of sampling Time of the year Foram size fraction TOC method Data available with original publication Sediment layer Sampling device
1 English Channel France Grand-Fort Philippe Francescangeli (2017)-PhD thesis same A-J-O-F: April, June, October, February; FP: Fort-Philippe; 1–2–3: replicates Intertidal 2014–2015 4 seasons > 63 µm CHN Elemental analyser Unpublished 0–1 cm Corer (diameter: 85 µm)
2 English Channel France Liane estuary Armynot du Châtelet et al. (2011) same BL: Boulogne sur Mer; a-b-c: replicates Intertidal and subtidal 2008 April > 63 µm CHN Elemental analyser Yes, relative abundances 0–1 cm Van Veen grab
3 English Channel France Boulogne sur Mer Harbor Francescangeli (2017)-PhD thesis same A-J-O-F: April, June, October, February; BL: Boulogne-sur-Mer; 1–2–3: replicates Intertidal 2014–2015 4 seasons > 63 µm CHN Elemental analyser Unpublished 0–1 cm Corer (diameter: 85 µm)
4 English Channel France Canche estuary Francescangeli et al. (2017) same T: transect; P: sampling point; A,B,C: replicates Intertidal 2012–2013–2014 September > 63 µm CHN Elemental analyser Yes, Raw counts 0–1 cm Corer (diameter: 85 µm)
5 English Channel France Canche estuary Armynot du Châtelet et al. (2018) same CE: Canche estuary transept cross shore; D: samples in a square meter Intertidal 2007 (CE) and 2017 (D) April > 63 µm CHN Elemental analyser Yes, relative abundances 0–1 cm (CE) and 0–2 cm (D) Van Veen grab (CE), scraping (D)
6 English Channel France Canche estuary Francescangeli (2017)-PhD thesis same A-J-O-F: April, June, October, February; CA: Canche Estuaryr; 1–2–3: replicates Intertidal 2014–2015 4 seasons > 63 µm CHN Elemental analyser Unpublished 0–1 cm Corer (diameter: 85 µm)
7 English Channel France Authie estuary Francescangeli (2017)-PhD thesis same A-J-O-F: April, June, October, February; AU: Authie Esturie; 1–2–3: replicates Intertidal 2014–2015 4 seasons > 63 µm CHN Elemental analyser Unpublished 0–1 cm Corer (diameter: 85 µm)
8 English Channel France Somme estuary Francescangeli (2017)-PhD thesis same A-J-O-F: April, June, October, February; SO: Somme Estuary; 1–2–3: replicates Intertidal 2014–2015 4 seasons > 63 µm CHN Elemental analyser Unpublished 0–1 cm Corer (diameter: 85 µm)
9 English Channel France Bay of Veys Bouchet (unpublished) same Ref: reference station outside the influence of the oyster farming area; Transect from oyster farming area (0 m) to 50, 100, 200 and 400 m away Intertidal 2006 October > 63 µm CHN Elemental analyser Unpublished 0–1 cm Spoon (pseudoreplication method)
10 Atlantic France Crouesty harbor Armynot du Châtelet (2003)-PhD thesis same Numbers: stations Subtidal 2002 July > 63 µm LOI Unpublished 0–1 cm Van Veen grab
11 Atlantic France Loire estuary Mojtahid et al. (2016) same A-B-L: outer estuary-lower inner estuary-middle inner estuary; according to station number Intertidal and Subtidal 2012 September > 150 µm LECO—CS200® analyser Yes, abundances 0–1 cm Subtidal: Van Veen grab; Intertidal: scraping off
12 Atlantic France Aiguillon bay Armynot du Châtelet et al. (2009) same According to station number Intertidal 2001 October > 63 µm LOI Partly, relative abundances 0–1 cm Van Veen grab
13 Atlantic France Aiguillon Bay/Ré Island Bouchet et al. (2009) same C: control station outside oyster farm; OZ: in the oyster zone; OFZ: oyster free zone under the influence of the oyster farming area Intertidal 2004 October, 29 > 63 µm LOI No 0–1 cm Corer (diameter: 95 µm)
14 Atlantic France Ronce Perquis Bouchet et al. (2007) same According to station number Intertidal 2004 April 22, May 25, June 9 and 22, August 4 > 63 µm LOI Partly, abundances 0–1 cm Spoon (pseudoreplication method)
15 Atlantic Spain Plentzia estuary Cearreta et al. (2002) same According to sampling station name Intertidal 1997 Sping and Autumn > 63 µm Walkey method Partly, relative abundances 0–1 cm Corer (diameter: not specified)
16 Atlantic Spain Ria de Vigo Diz et al. (2006) same According to station number and month of sampling Subtidal 1998 January and September > 63 µm LECO—CS200® analyser Yes, raw counts 0–1 cm Box corer
17 Atlantic Portugal Ria de Aveiro Martins et al. (2015) same According to station number Subtidal 2011 Summer > 63 µm LOI Yes, relative abundances 0–1/2 cm Adapted Petit Ponnar sampler (with two openings
18 Atlantic Portugal Ria de Aveiro Martins et al. (2013) same According to station number Subtidal 2006–2007 Spring/ Summer > 63 µm LOI Yes, relative abundances 0–2 cm Adapted Petit Ponnar sampler (with two openings
19 Atlantic Portugal Ria de Aveiro Martins et al. (2010) same According to station number Subtidal 2006 March and April > 63 µm LOI Yes, relative abundances 0–5 cm Adapted Petit Ponnar sampler (with two openings
20 Atlantic Portugal Ria de Aveiro Martins et al. (2016) same C1-C8: stations number; 1–4: Sampling season (1: Autumn, 2: early winter, 3: early spring, 4: late winter) Subtidal 2009 to 2011 Autumn, early winter, early spring, late winte > 63 µm LOI Yes, relative abundances 0–1 cm Box-corer
21 Atlantic Portugal Guadiana estuary Camacho et al. (2014) same According to station name and season of sampling Intertidal 2010 Winter and Summer > 63 µm CHN Elemental analyser Yes, relative abundances 0–1 cm Corer (diameter: 50 µm)
22 Mediterranean Sea Spain Ebro delta Benito et al. (2016) same According to station number and date of sampling Intertidal 2012–2013 November, April and August > 63 µm LOI Yes, relative abundances 0–1 cm Corer (diameter: 57 µm)
23 Mediterranean Sea France Bagès-Sigean lagoon Foster et al. (2012) same According to station number Subtidal 2010 September > 125 µm CHN Elemental analyser Yes, relative abundances 0–1 cm Shallow-water surface sediment sampler
24 Mediterranean Sea Italy Sardinia island Schintu et al. (2015) same According to sampling zone (PT: Porto Torres, PS: Portoscuso, LM: La Maddalena Archipelago) and station number Subtidal 2010 (PT and PS) and 2011 (LM) May (PT and PS) and June (LM) > 63 µm LOI Yes, relative abundances 0–3 cm Van Veen grab
25 Mediterranean Sea Italy Santa Gilla Frontalini et al. (2009) Aztori (2013)-PhD thesis According to station number Subtidal 2006 October > 63 µm CHN Elemental analyser Yes, relative abundances 0–2 cm Van Veen grab
26 Mediterranean Sea Italy Orbetello Frontalini et al. (2010) Specchiulli et al. (2010) According to station number Subtidal 2003 October > 63 µm CHN Elemental analyser Yes, relative abundances 0–2 cm Van Veen grab
27 Mediterranean Sea Italy Naples harbor Ferraro et al. (2006) same According to sampling zone (DL: Levante dock, DG: Granili dock) and station number Subtidal N.D. N.D. > 125 µm CHN Elemental analyser Yes, relative abundances 0–20 cm Hydraulic vibro-corer (diameter: 100 µm)
28 Mediterranean Sea Italy Varano lake Frontalini et al. (2013) same According to station number Subtidal 2012 March > 125 µm CHN Elemental analyser Yes, relative abundances 0–2 cm Van Veen grab
29 Mediterranean Sea Italy Lesina lagoon Frontalini et al. (2010) Borja et al. (2011) According to station number Subtidal 2004 March > 63 µm CHN Elemental analyser Yes, relative abundances 0–2 cm Van Veen grab
30 Mediterranean Sea Italy Venice lagoon Coccioni et al. (2009) Secco et al. (2005) According to station number Subtidal 2002 June > 63 µm CHN Elemental analyser Yes, relative abundances 0–2 cm Van Veen grab
31 Mediterranean Sea Italy Marano and Grado lagoon Melis (unpublished data) same VN: Valle Noghere, according to station number Intertidal 2015 May and July > 63 µm CHN Elemental analyser Unpublished 0–2 cm Corer (diameter: 56 µm)
32 Mediterranean Sea Greece Saronikos gulf Portela (2017)-MSc thesis same S: distance from the point source of the effluents Subtidal 2016 February > 125 µm CHN Elemental analyser Unpublished 0–1 cm Stainless steel box-corer
33 Mediterranean Sea Greece Saronikos gulf Dimiza et al. (2016) same S: distance from the point source of the effluents Subtidal 2012 February > 125 µm CHN Elemental analyser No 0–1 cm Stainless steel box-corer
34 Mediterranean Sea Greece Evoikos gulf Goreija (2013)-MSc thesis same N: According to station number Subtidal 2011 November > 125 µm CHN Elemental analyser Unpublished 1 to 2 cm Van Veen grab
35 Mediterranean Sea Greece Kavala bay Delliou (2013)-MSc thesis same according to the sampled geographical sites Subtidal 2012 November > 125 µm CHN Elemental analyser Unpublished 1 to 2 cm Bowser-corer
36 Mediterranean Sea Turkey Gulf of Izmir Bergin et al. (2006) same According to station number Subtidal 2002 November > 250 µm Hach method Yes, relative abundances 0–1 cm Van Veen grab
37 Mediterranean Sea Israel Timsah pond Flako-Zaritsky et al. (2011) same According to date of sampling ground water-surface water interaction pond 2002 and 2003 November and February > 63 µm CHN Elemental analyser Yes, raw counts 0–4 cm Corer (diameter: 35 µm)
38 Mediterranean Sea Israel Betzet, Naaman, Poleg, Lachish estuaries Avnaim-Katav et al. (2016) same Three replicates. Sample names at each estuary include a capital letter representing sampling season
(S —summer; A — autumn;W— winter; W*) and numerals representing the E–W gradient away from the stream mouth: 1 being the closet to the river mouth and 3 the most inland one.
Intertidal 2012–2013 3 seasons: summer: May 30, June 6, June 27, July 11; autumn: October 25;winter: January 17 (shortly after a major winter storm event), March 19 > 63 µm CHN Elemental analyser Yes, raw counts 0–1 cm Corer (diameter: 54 µm)
39 Mediterranean Sea Egypt Abu-Qir bay Elshanawany et al. (2011) same According to station number and date of sampling Subtidal 2005 May and November > 63 µm LECO—CS200® analyser Yes, relative abundances 0–1 cm Grab
40 Mediterranean Sea Tunisia Djerba lagoon El Kateb et al. (2018) same According to station number Subtidal 2014 July > 63 µm CHN Elemental analyser Yes, relative abundances 0–1 cm Grab
41 Mediterranean Sea Tunisia Monastir bay Damak et al. (2019) same According to station number Subtidal 2015 August > 125 µm Walker and Black method No 0–1 cm Scraping
42 Mediterranean Sea Tunisia Bizerte lagoon Alves Martins et al. (2015) same Stations number Subtidal 2013 March > 63 µm Perkin Elmer (Waltham, MA, USA) PE 2400 CHN system Yes 0–2 cm Box-corer

Fig. 1.

Fig. 1

Map showing the geographical distribution of the 42 studies according to the water body type (see definition of each body type in Table 1 in [1] according to [9] and [10]) used to assign the species from the English Channel/European Atlantic coast and the Mediterranean Sea intertidal and TWs. Numbers are the same as in Table 1.

This database was built to assign benthic foraminiferal species to ecological groups of sensitivity to total organic carbon (see [1] for more details). Because of the particular characteristics of foraminiferal habitats and communities, we decided to present the database split in two: one for the English Channel/European Atlantic and one for the Mediterranean region. The overall aim of this paper is to provide foraminiferal ecologists with a ready-to-use database detailing foraminiferal species relative abundances and total organic content (%) in the studied sampling sites to be used for ecological, biogeographical and environmental monitoring purposes.

2. Experimental Design, Materials and Methods

Data acquisition: Data of benthic foraminifera relative abundances and related TOC contents (%) in the sediment are mainly from published literature, obtained from data tables in the publication or provided by the authors if not published (database available in Mendeley: http://dx.doi.org/10.17632/stjfr9xvxg.1). To select the relevant studies, the following criteria scheme was followed: only studies on living foraminifera (not dead neither total assemblages), only samples with >50 living specimens and contemporaneous TOC and foraminifera sampling. In total, it was possible to include in the data 587 samples from the English Channel/European Atlantic Coast and 301 from the Mediterranean Sea.

Data computation: When raw counts or abundances were provided, we standardised it to relative abundances. The optimos.prime R package [4] was used to calculate the weighted averaging optimum and tolerance level [2,3] of each species to TOC (Figs. 2 and 3).

Fig. 2.

Fig. 2

Caterpillar plot showing the optimum (green dots) and tolerance range (bars) to TOC of benthic foraminiferal species in the English Channel/European Atlantic intertidal areas and transitional waters.

Fig. 3.

Fig. 3

Caterpillar plot showing the optimum (green dots) and tolerance range (bars) to TOC of benthic foraminiferal species in the Mediterranean Sea intertidal areas and transitional waters.

In order to illustrate the typical response of species from each ecological group along the TOC gradient, a locally weighted scatterplot smooth line (LOESS) was fitted through each scatter plot (see Fig. 5–6 in [1]). Marginal plots were added to each scatter plot to show the frequency of distribution of occurrences along the TOC gradient. The median of the distribution of the occurrences was also computed. The R code (supplementary materials) includes the following packages: ggpubr, ggExtra, cowplot, mgcv.

CRediT Author Statement

Vincent M.P. Bouchet: Conceptualization, Supervision, Investigation, Data curation, Formal analysis, Visualization, Writing – original draft; Fabrizio Frontalini: Investigation, Writing – Review & Editing; Fabio Francescangeli: Visualization - Writing – Review & Editing; Pierre-Guy Sauriau: Formal analysis, Writing – Review & Editing; Emmanuelle Geslin: Supervision, Writing – Review & Editing; Virginia Martins: Investigation, Writing – Review & Editing; Ahuva Almogi-Labin: Writing – Review & Editing; Simona Avnaim-Katav: Investigation, Writing – Review & Editing; Letizia Di Bella: Writing – Review & Editing; Alejandro Cearreta: Investigation, Writing – Review & Editing; Rodolfo Coccioni: Writing – Review & Editing; Ashleigh Costelloe: Writing – Review & Editing; Margarita D. Dimiza: Writing – Review & Editing; Luciana Ferraro: Investigation, Writing – Review & Editing; Kristin Haynaert: Writing – Review & Editing; Michael Martínez-Colón: Writing – Review & Editing; Romana Melis: Investigation, Writing – Review & Editing; Magali Schweizer: Writing – Review & Editing; Maria V. Triantaphyllou: Investigation, Writing – Review & Editing; Akira Tsujimoto: Writing – Review & Editing; Brent Wilson: Writing – Review & Editing; Eric Armynot du Châtelet: Supervision, Investigation, Writing – Review & Editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.

Acknowledgments

Maria-Belen Sathicq helped V.M.P.B. in handling the optimos.prime R package. The authors are grateful to the Swiss National Science Foundation, the Agence de l'Eau Artois-Picardie, the Communauté d'Agglomération du Boulonnais, the Université de Lille, the Université du Littoral Côte d'Opale, the Laboratoire d'Océanologie et de Géosciences for their financial support to FOBIMO workshops in Fribourg (Switzerland), Wimereux (France) and Texel (The Netherlands); and to Silvia Spezzaferri and Henko de Stigter for organizing and hosting the workshops in Fribourg and Texel. Additional funding was provided by Spanish MINECO (RTI2018-095678-B-C21, MCIU/AEI/FEDER, UE). The authors would like to thank the scientific editor and the anonymous reviewer for their comments that contributed to improve the manuscript.

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2021.106920.

Appendix. Supplementary materials

mmc1.docx (22.1KB, docx)

References

  • 1.Bouchet V.M.P., Frontalini F., Francescangeli F., Sauriau P.-.G., Geslin E., Martins M.V.A., Almogi-Labin A., Avnaim-Katav S., Di Bella L., Cearreta A., Coccioni R., Costelloe A., Dimiza M.D., Ferraro L., Haynert K., Martínez-Colón M., Melis R., Schweizer M., Triantaphyllou M.V., Tsujimoto A., Wilson B., Armynot du Châtelet E. Indicative value of benthic foraminifera for biomonitoring: assignment to ecological groups of sensitivity to total organic carbon of species from European intertidal areas and transitional waters. Mar. Poll. Bull. 2021;164 doi: 10.1016/j.marpolbul.2021.112071. [DOI] [PubMed] [Google Scholar]
  • 2.Birks H.J.B., Line J.M., Juggins S., Stevenson A.C., Ter Braak C.J.F. Diatoms and pH reconstruction. Phil. Trans. R. Soc. Lond. B. 1990;327:263–278. doi: 10.1098/rstb.1990.0062. [DOI] [Google Scholar]
  • 3.Braak C.J.F.Ter. University of Wageningen; 1987. Unimodal models to relate species to environment (Doctoral thesis) [Google Scholar]
  • 4.Sathicq M.B., Nicolosi Gelis M.M., Cochero J. Calculating autoecological data (optima and tolerance range) for multiple species with the ‘optimos.prime’ R package. Austral Ecol. 2020;45:845–850. doi: 10.1111/aec.12868. [DOI] [Google Scholar]
  • 5.Borja A., Franco J., Pérez V. A marine biotic index to establish the ecological quality of soft-bottom benthos within European estuarine and coastal environments. Mar. Pollut. Bull. 2000;40:1100–1114. doi: 10.1016/S0025-326X(00)00061-8. [DOI] [Google Scholar]
  • 6.Core Team R. 2020. R: A Language and Environment for Statistical Computing.https://www.R-project.org/ [Google Scholar]
  • 7.Barillé-Boyer A.-.L., Barillé L., Massé H., Razet D., Héral M. Correction for particulate organic matter as estimated by loss on ignition in estuarine ecosystems. Estuar. Coast. Shelf Sci. 2003;58:147–153. doi: 10.1016/S0272-7714(03)00069-6. [DOI] [Google Scholar]
  • 8.Frangipane G., Pistolato M., Molinarolli E., Guerzoni S., Tagliapietra D. Comparison of loss on ignition and thermal analysis stepwise method for determination of sedimentary organic matter. Aquatic Conserv: Mar. Fresh. Ecosyst. 2009;19:24–33. [Google Scholar]
  • 9.McLusky D.S., Elliott M. Transitional waters: a new approach, semantics or just muddying the waters? Estuar. Coast. Shelf Sci. 2007;71:359–363. doi: 10.1016/j.ecss.2006.08.025. [DOI] [Google Scholar]
  • 10.European Communities Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy. Off. J. Eur. Commun. 2000;43(L327):75. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

mmc1.docx (22.1KB, docx)

Articles from Data in Brief are provided here courtesy of Elsevier

RESOURCES