Floristic list of the seaweeds collected in the Mar Piccolo in the years between 1920 and 1959 by Irma Pierpaoli. Updating of the current species nomenclature was performed according to Algaebase (https://www.algaebase.org) and the original taxonomic binomial was reported

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Association Centers in Germany (www.tereno.net). TERENO aims to catalogue the longterm ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees &amp; Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators), (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale).</p><p>This dataset covers bird count data of 4x4 km landscapes in Saxony-Anhalt (Germany) dominated by agricultural use. All singing, calling and seen birds were registered according to the point counts method described by Bibby et al. (1992): Bird census techniques, Academic press, London.

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Association Centers in Germany (www.tereno.net). TERENO aims to catalogue the longterm ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees &amp; Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators), (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale).</p><p>This dataset covers bird count data of 4x4 km landscapes in Saxony-Anhalt (Germany) dominated by agricultural use. All singing, calling and seen birds were registered according to the point counts method described by Bibby et al. (1992): Bird census techniques, Academic press, London.

The data are for: Braila Islands SI000726: BI1 - Chiriloaia colony (2007-2011); BI2 - Cucova colony (2007-2011); BI3 - Vulpasu colony (2007-2011). Variable list: BP (<em>breeding pairs</em>) / AON (<em>apparently occupied nests</em>) of colonial piscivorous birds species (2007-2011)

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Association Centers in Germany (www.tereno.net). TERENO aims to catalogue the longterm ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees &amp; Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators), (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale).</p><p>This dataset covers bird count data of 4x4 km landscapes in Saxony-Anhalt (Germany) dominated by agricultural use. All singing, calling and seen birds were registered according to the point counts method described by Bibby et al. (1992): Bird census techniques, Academic press, London.

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Association Centers in Germany (www.tereno.net). TERENO aims to catalogue the long-term ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees &amp; Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators), (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale). This dataset covers bird count data of 4x4 km landscapes in Saxony-Anhalt (Germany) dominated by agricultural use. All singing, calling and seen birds were registered according to the point counts method described by Bibby et al. (1992: Bird census techniques, Academic press, London).

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Association Centers in Germany (www.tereno.net). TERENO aims to catalogue the longterm ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees &amp; Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators), (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale). This dataset covers bird count data of 4x4 km landscapes in Saxony-Anhalt (Germany) dominated by agricultural use. All singing, calling and seen birds were registered according to the point counts method described by Bibby et al. (1992): Bird census techniques, Academic press, London.

Floristic list of seaweeds collected in 21 stations in the Mar Piccolo of Taranto in July 2001. In July 2001, sampling activities were carried out throughout the Mar Piccolo of Taranto, to evaluate the biodiversity in terms of phytobenthic species. Twenty-one stations were monitored, 11 in the First Inlet and 10 in the Second Inlet. A total of 45 taxa were recorded: 8 Chlorophyta, 5 Ochrophyta, 32 Rhodophyta. No Tracheophyta was recorded. 5 species were non-indigenous (NIS). Updating of the current species nomenclature was performed according to Algaebase (https://www.algaebase.org) and the original taxonomic binomial was reported

Floristic list of macrophytes (seaweeds and phanerogams) collected in the Mar Piccolo in the years 1987-1988. For each species the location in the basin, the month of collection and the phenology was reported. A qualitative study was performed in 1987-1988 to assess the composition in species of the macrophytobenthos of the Mar Piccolo of Taranto. Forty-eight stations were bi-monthly monitored, 20 in the First Inlet (10 in the Intertidal and 10 in the sublittoral) and 28 in the Second Inlet (16 in the Intertidal and 12 in the sublittoral). A total of 86 taxa were recorded: 24 Chlorophyta, 10 Ochrophyta, 51 Rhodophyta, 1 Tracheophyta. 4 species were non-indigenous (NIS). For the location of the stations see [Cecere E., Cormaci M., Furnari G. 1991. The marine algae of Mar Piccolo, Taranto (Southern-Italy): A re-assessment. Botanica Marina 34: 221-227]

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Centers in Germany (www.tereno.net). TERENO aims to catalogue the long-term ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO implemented in the TERENO Harz/Central German Lowland observatory deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees and Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators) and (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale). The dataset covers data about bee communities within 4x4 km landscape sites in Saxony-Anhalt (Germany) dominated by agricultural use. Insects were trapped with combined flight traps (combination of yellow pan trap and transparent perspexes) placed at ecotones (transition zone between arable fields and semi-natural habitats) in late spring-early summer (April-June) and after a summer break in late summer (July-September). The dataset is part of ongoing yearly monitoring.