cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1389/240
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DOI: 10.18419/darus-1389/259
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DOI: 10.18419/darus-1389/260
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DOI: 10.18419/darus-1389/261
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DOI: 10.18419/darus-1389/262
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DOI: 10.18419/darus-1389/263
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DOI: 10.18419/darus-1389/264
title: 00004671.JPG

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DOI: 10.5281/zenodo.12743874
title: Stable isotope ratios data of NEREA Augmented Observatory

description: Samples were collected at 1m depth or along the whole water column using Niskin bottles and plankton nets,  transferred into bins or jars and transported to the laboratory, where the individual size fractions were isolated.  For each size fraction, samples were frozen and freeze-dried individually. Carbon and nitrogen stable isotope values (‰) were determined at the Stable Isotope Facility at the University of california in Davis (USA).
DOI: 10.18419/darus-1389/265
title: 00004670.JPG

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DOI: 10.5281/zenodo.12743875
title: Stable isotope ratios data of NEREA Augmented Observatory

description: Samples were collected at 1m depth or along the whole water column using Niskin bottles and plankton nets,  transferred into bins or jars and transported to the laboratory, where the individual size fractions were isolated.  For each size fraction, samples were frozen and freeze-dried individually. Carbon and nitrogen stable isotope values (‰) were determined at the Stable Isotope Facility at the University of california in Davis (USA).
DOI: 10.18419/darus-1389/266
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DOI: 10.18419/darus-1389/267
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DOI: 10.18419/darus-1389/268
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DOI: 10.18419/darus-1389/269
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DOI: 10.18419/darus-1389/270
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DOI: 10.18419/darus-1389/271
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DOI: 10.18419/darus-1389/272
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DOI: 10.18419/darus-1389/273
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DOI: 10.18419/darus-1389/274
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DOI: 10.18419/darus-1389/275
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DOI: 10.18419/darus-1389/276
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DOI: 10.18419/darus-1389/277
title: 00004652.JPG

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DOI: 10.5281/zenodo.11058614
title: LOFAs data of NEREA Augmented Observatory

description: LOFAs samples were collected at the selected depth using Niskin bottle, pre-filtered onto 200 μm mesh nylon net, filtered onto polycarbonate filters (2 μm mesh size) and then frozen in liquid nitrogen. Filters were sonicated in water, incubated for 30 min at room temperature and then LOFAs extracted and quantified through liquid chromatography-mass spectrometry (LC-MS) using an internal standard. LOFAs amount are normalized by the volume of the filtered seawater sample.
DOI: 10.5281/zenodo.11058615
title: LOFAs data of NEREA Augmented Observatory

description: LOFAs samples were collected at the selected depth using Niskin bottle, pre-filtered onto 200 μm mesh nylon net, filtered onto polycarbonate filters (2 μm mesh size) and then frozen in liquid nitrogen. Filters were sonicated in water, incubated for 30 min at room temperature and then LOFAs extracted and quantified through liquid chromatography-mass spectrometry (LC-MS) using an internal standard. LOFAs amount are normalized by the volume of the filtered seawater sample.
DOI: 10.18419/darus-1389/278
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DOI: 10.18419/darus-1389/279
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DOI: 10.18419/darus-1389/281
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DOI: 10.18419/darus-1389/282
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DOI: 10.18419/darus-1389/283
title: model3374519820F2421CA61FF3142E49583212293.dat

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DOI: 10.18419/darus-1389/284
title: model68AF33FB4D7B452BBF36D01440CE81BF12294.dat

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DOI: 10.18419/darus-1389/285
title: model99380DB3346D4E3E82260838015BA4D912294.dat

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DOI: 10.18419/darus-1389/286
title: model4336E45B0DC041C0A5B9E30290ED323912293.dat

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DOI: 10.18419/darus-1389/287
title: model75E5F067CA8A457D898C82FF93D6C32E12291.dat

description: :unav
DOI: 10.18419/darus-1389/288
title: model04F81CA091824C02A325CB06577A7D76_tex1_4.dat

description: :unav
DOI: 10.18419/darus-1389/289
title: model08D1D8938ACF432796FA978E792A994912291.dat

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DOI: 10.18419/darus-1389/290
title: model193F181633CA4195B093C4A0506CCED412293.dat

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DOI: 10.18419/darus-1389/291
title: model2000426F1E984C57ADD0B518AE636DA912291.dat

description: :unav
DOI: 10.18419/darus-1389/292
title: model0CC30858BB554FBBA38022CC569B03F412293.dat

description: :unav
DOI: 10.5281/zenodo.11035932
title: Flow cytometry data of NEREA Augmented Observatory

description: FCM sample were processed using a Becton-Dickinson FACSVerse flow cytometer, equipped with standard laser (488 nm) and filter set. Volumes were estimated using TruCount Beads run before every batch run or estimated from the volumetric count of the instrument.
DOI: 10.5281/zenodo.11035933
title: Flow cytometry data of NEREA Augmented Observatory

description: FCM sample were processed using a Becton-Dickinson FACSVerse flow cytometer, equipped with standard laser (488 nm) and filter set. Volumes were estimated using TruCount Beads run before every batch run or estimated from the volumetric count of the instrument.
DOI: 10.18419/darus-1389/293
title: model04F81CA091824C02A325CB06577A7D76_tex1_3.dat

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DOI: 10.18419/darus-1389/294
title: modelA47AD896BC74458586726A65C202491512294.dat

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DOI: 10.18419/darus-1389/295
title: model565B24FA60ED40A0BE5D7BA229249A4412294.dat

description: :unav
DOI: 10.18419/darus-1389/296
title: model66EB04ECFE2F426DA79CAA06849EA53012294.dat

description: :unav
DOI: 10.18419/darus-1389/297
title: colorNormalization2.dat

description: :unav
DOI: 10.18419/darus-1389/298
title: modelB0009436E1BF458F8A6B047CEBD748DD12294.dat

description: :unav
DOI: 10.18419/darus-1389/299
title: model0E2E35161504433885131C5D0C0E7E80_tex0_0.dat

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DOI: 10.18419/darus-1389/300
title: model668E21E60A2A4B27A009E5CC3FF99C7512291.dat

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DOI: 10.18419/darus-1389/301
title: modelDEAF53AEC3C74E809B4CAA0BDF575F9512291.dat

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DOI: 10.18419/darus-1389/302
title: model40E66E9517304AB6AACA615D228D9E5712291.dat

description: :unav
DOI: 10.18419/darus-1389/303
title: model0E2E35161504433885131C5D0C0E7E80_tex0_1.dat

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DOI: 10.18419/darus-1389/304
title: model89656EE6DBC24B3F93A34915FAF32D5D12293.dat

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DOI: 10.18419/darus-1389/305
title: model0CB5FE707722401B8504575655D2100B12293.dat

description: :unav
DOI: 10.18419/darus-1389/306
title: model4A8B22A953C3425DB5B3F97B4AABC3FC12294.dat

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DOI: 10.18419/darus-1389/307
title: model0E2E35161504433885131C5D0C0E7E80_tex0_2.dat

description: :unav
DOI: 10.18419/darus-1389/308
title: model423E61A7E3EC4085A7323251CE99CA7512293.dat

description: :unav
DOI: 10.18419/darus-1389/309
title: model2.dat

description: :unav
DOI: 10.18419/darus-1389/310
title: model5693FE0F857140BDADE69C7F4CE41C5B12291.dat

description: :unav
DOI: 10.18419/darus-1389/311
title: model668E21E60A2A4B27A009E5CC3FF99C7512294.dat

description: :unav
DOI: 10.18419/darus-1389/312
title: model40E66E9517304AB6AACA615D228D9E5712293.dat

description: :unav
DOI: 10.18419/darus-1389/313
title: model2.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1389/314
title: model04DD625EC5774AB689C9B9BAF89C03B7_tex0_1.dat

description: :unav
DOI: 10.18419/darus-1389/315
title: modelDA1AC454C5AC49E5A7629572BB54BE9512291.dat

description: :unav
DOI: 10.18419/darus-1389/316
title: model4DDC9AAF65BB42FB9204DBAD221FDCD812293.dat

description: :unav
DOI: 10.18419/darus-1389/317
title: model1.dat_rnd.dat

description: :unav
DOI: 10.5281/zenodo.11035856
title: Biogeochemical data of NEREA Augmented Observatory

description: Analyses are performed using a Flow-Sys III Systea auto-analyzer using the methods reported by Hansen and Grasshoff (1983), slightly modified, for inorganic nutrients and after digestion at 120 °C for 30 minutes, using the adjustments proposed by Valderrama, 1981 to the original methods by Koroleff (1976 a, b). DOC analysis is carried out by high-temperature catalytic oxidation with a Shimadzu TOC analyzer (TOC-Vcsn)  following the methods described in Santinelli 2015. POC analysis is conducted using a variable volume (1-3 litres) of seawater filtered on GF/F filters. After filtration, filters are rinsed with deionized water and stored at -20 °C. The analyses are performed with a Thermo Scientific FlashEA 1112 elemental analyzer (Thermo Fisher Scientific) following (Hedges and Stern 1984) and using cyclohexanone-2,4-dinitrophenylhydrazone as standard.
DOI: 10.5281/zenodo.11035857
title: Biogeochemical data of NEREA Augmented Observatory

description: Analyses are performed using a Flow-Sys III Systea auto-analyzer using the methods reported by Hansen and Grasshoff (1983), slightly modified, for inorganic nutrients and after digestion at 120 °C for 30 minutes, using the adjustments proposed by Valderrama, 1981 to the original methods by Koroleff (1976 a, b). DOC analysis is carried out by high-temperature catalytic oxidation with a Shimadzu TOC analyzer (TOC-Vcsn)  following the methods described in Santinelli 2015. POC analysis is conducted using a variable volume (1-3 litres) of seawater filtered on GF/F filters. After filtration, filters are rinsed with deionized water and stored at -20 °C. The analyses are performed with a Thermo Scientific FlashEA 1112 elemental analyzer (Thermo Fisher Scientific) following (Hedges and Stern 1984) and using cyclohexanone-2,4-dinitrophenylhydrazone as standard.
DOI: 10.18419/darus-1389/318
title: model75E5F067CA8A457D898C82FF93D6C32E12293.dat

description: :unav
DOI: 10.18419/darus-1389/319
title: model4.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1389/320
title: colorNormalization1.dat

description: :unav
DOI: 10.18419/darus-1389/321
title: model02B2724587E54C76BCD097287BF7738712294.dat

description: :unav
DOI: 10.18419/darus-1389/322
title: model3554794E6C794B21B0294591F656DAA512294.dat

description: :unav
DOI: 10.18419/darus-1389/323
title: modelA7F52624E13B420399609A2CA09DC90A12293.dat

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DOI: 10.18419/darus-1389/324
title: model17FED95C7C004E95B8865E85E9F9003812293.dat

description: :unav
DOI: 10.18419/darus-1389/325
title: model1.dat

description: :unav
DOI: 10.18419/darus-1389/326
title: model73835C46BE504867AA689973D9B944FA12293.dat

description: :unav
DOI: 10.18419/darus-1389/327
title: model1AA00DD101454922908875496C2211A712293.dat

description: :unav
DOI: 10.18419/darus-1389/328
title: model708B88BCE98D455AAF34BC5C56274B4412291.dat

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DOI: 10.18419/darus-1389/329
title: model628E09D90D2347E2917557DD5B406E4E12294.dat

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DOI: 10.18419/darus-1389/330
title: model6D56697C28C84551921682F4FF04DD5912294.dat

description: :unav
DOI: 10.18419/darus-1389/331
title: model6.dat

description: :unav
DOI: 10.6084/m9.figshare.26379259.v2
title: Asset classes with expected return, standard deviations, and correlations for three regimes

description: We consider 15 different asset classes with expected returns ranging from 2% to 11%, standard deviations from 1% to 15%, and correlation matrices for three different regimes C,N,G.
DOI: 10.18419/darus-1389/332
title: model279335FED81648B189EC34D6C78DB2D012293.dat

description: :unav
DOI: 10.18419/darus-1389/333
title: model0E2E35161504433885131C5D0C0E7E80_tex1_1.dat

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DOI: 10.18419/darus-1389/334
title: modelA47AD896BC74458586726A65C202491512291.dat

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DOI: 10.18419/darus-1389/335
title: modelEA1DBC2265D94C0E93879BD5217AAA1B12293.dat

description: :unav
DOI: 10.18419/darus-1389/336
title: model4.dat

description: :unav
DOI: 10.18419/darus-1389/337
title: modelEEB7D73380124ADDA5B8A253BF304C1A12294.dat

description: :unav
DOI: 10.18419/darus-1389/338
title: model55F2F7AF4C954BE7A2A8B98520776F0112291.dat

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DOI: 10.18419/darus-1389/339
title: model08D1D8938ACF432796FA978E792A994912294.dat

description: :unav
DOI: 10.18419/darus-1389/340
title: model5.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1389/341
title: model3374519820F2421CA61FF3142E49583212291.dat

description: :unav
DOI: 10.18419/darus-1389/342
title: model6D56697C28C84551921682F4FF04DD5912291.dat

description: :unav
DOI: 10.18419/darus-1389/343
title: metadata1.dat

description: :unav
DOI: 10.18419/darus-1389/344
title: model708B88BCE98D455AAF34BC5C56274B4412294.dat

description: :unav
DOI: 10.18419/darus-1389/345
title: model628E09D90D2347E2917557DD5B406E4E12293.dat

description: :unav
DOI: 10.18419/darus-1389/346
title: model66EB04ECFE2F426DA79CAA06849EA53012291.dat

description: :unav
DOI: 10.18419/darus-1389/347
title: model68AF33FB4D7B452BBF36D01440CE81BF12291.dat

description: :unav
DOI: 10.18419/darus-1389/348
title: entities0.dat

description: :unav
DOI: 10.18419/darus-1389/349
title: modelDEAF53AEC3C74E809B4CAA0BDF575F9512294.dat

description: :unav
DOI: 10.18419/darus-1389/350
title: modelC9E548513305406AA95103466EA6F2A012293.dat

description: :unav
DOI: 10.18419/darus-1389/351
title: controlpoints0.dat

description: :unav
DOI: 10.5281/zenodo.11035381
title: HPLC data of NEREA Augmented Observatory

description: The water used for the determination of the pigment spectrum by HPLC accounts for 2-3 litres for each depth. The seawater is filtered on GF/F filters (diameter 47mm). The filters are stored in liquid nitrogen until pigments HPLC analysis. HPLC pigments separations were made on an Agilent 1100 HPLC (Agilent technologies, United States). The system was equipped with an HP 1050 photodiode array detector and a HP 1046A fluorescence detector for the determination of chlorophyll degradation products. Instrument calibration was carried out with external standard pigments provided by the International Agency for 14C determination-VKI Water Quality Institute.
DOI: 10.18419/darus-1389/352
title: sfm2.dat

description: :unav
DOI: 10.18419/darus-1389/353
title: model02B2724587E54C76BCD097287BF7738712291.dat

description: :unav
DOI: 10.5281/zenodo.11035380
title: HPLC data of NEREA Augmented Observatory

description: The water used for the determination of the pigment spectrum by HPLC accounts for 2-3 litres for each depth. The seawater is filtered on GF/F filters (diameter 47mm). The filters are stored in liquid nitrogen until pigments HPLC analysis. HPLC pigments separations were made on an Agilent 1100 HPLC (Agilent technologies, United States). The system was equipped with an HP 1050 photodiode array detector and a HP 1046A fluorescence detector for the determination of chlorophyll degradation products. Instrument calibration was carried out with external standard pigments provided by the International Agency for 14C determination-VKI Water Quality Institute.
DOI: 10.18419/darus-1389/354
title: model04F81CA091824C02A325CB06577A7D76_tex0_3.dat

description: :unav
DOI: 10.18419/darus-1389/355
title: modelC9988087CCB84B9E88B22B815BB8094612294.dat

description: :unav
DOI: 10.18419/darus-1389/356
title: colorNormalization0.dat

description: :unav
DOI: 10.18419/darus-1389/357
title: model668E21E60A2A4B27A009E5CC3FF99C7512293.dat

description: :unav
DOI: 10.18419/darus-1389/358
title: model565B24FA60ED40A0BE5D7BA229249A4412291.dat

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DOI: 10.18419/darus-1389/359
title: modelD6693BA0C7BF4EC592A8CFE276092FEC12293.dat

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DOI: 10.18419/darus-1389/360
title: model04DD625EC5774AB689C9B9BAF89C03B7_tex0_0.dat

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DOI: 10.18419/darus-1389/361
title: modelD2A4D5D142DD427A871EE123B0322B0412293.dat

description: :unav
DOI: 10.18419/darus-1389/362
title: model73835C46BE504867AA689973D9B944FA12294.dat

description: :unav
DOI: 10.5281/zenodo.10987255
title: Mesozooplankton data of NEREA Augmented Observatory

description: Mesozooplankton was collected with double WP2, which has a mouth area of 0.25 m2 and mesh aperture width of 200 μm. The net, ballasted with a 3 kg weight, was towed vertically  to the surface at low speed (0.7-1.0 m s-1).
DOI: 10.18419/darus-1389/363
title: model4AB7E8A8E98A4DB49E2D90930497E4A112293.dat

description: :unav
DOI: 10.5281/zenodo.10987254
title: Mesozooplankton data of NEREA Augmented Observatory

description: Mesozooplankton was collected with double WP2, which has a mouth area of 0.25 m2 and mesh aperture width of 200 μm. The net, ballasted with a 3 kg weight, was towed vertically  to the surface at low speed (0.7-1.0 m s-1).
DOI: 10.18419/darus-1389/364
title: modelB06DE0A44F5046A6944C23D5875CCD5112293.dat

description: :unav
DOI: 10.18419/darus-1389/365
title: model04F81CA091824C02A325CB06577A7D76_tex0_4.dat

description: :unav
DOI: 10.18419/darus-1389/366
title: model11F414C2259740C6B65F196AF522BC4D12291.dat

description: :unav
DOI: 10.18419/darus-1389/367
title: modelEA1DBC2265D94C0E93879BD5217AAA1B12291.dat

description: :unav
DOI: 10.18419/darus-1389/368
title: modelDA1AC454C5AC49E5A7629572BB54BE9512293.dat

description: :unav
DOI: 10.18419/darus-1389/369
title: sfm1.dat

description: :unav
DOI: 10.18419/darus-1389/370
title: model5693FE0F857140BDADE69C7F4CE41C5B12293.dat

description: :unav
DOI: 10.18419/darus-1389/371
title: model0E2E35161504433885131C5D0C0E7E80_tex1_2.dat

description: :unav
DOI: 10.18419/darus-1389/372
title: model2000426F1E984C57ADD0B518AE636DA912293.dat

description: :unav
DOI: 10.18419/darus-1389/373
title: model5.dat

description: :unav
DOI: 10.18419/darus-1389/374
title: metadata2.dat

description: :unav
DOI: 10.18419/darus-1389/375
title: modelDEAF53AEC3C74E809B4CAA0BDF575F9512293.dat

description: :unav
DOI: 10.18419/darus-1389/376
title: model824E9C24095840E8BEC09A5B285AF57812294.dat

description: :unav
DOI: 10.5281/zenodo.10987240
title: Phytoplankton data of NEREA Augmented Observatory

description: Samples were collected at the selected depth using Niskin bottles and immediately fixed with Lugol's solution (1%). Quantitative analysis is carried out using an inverted microscope after the settling of a variable volume of sample (Utermhöl, 1958). Volumes vary in relation to the number of cells present in the sample, which is estimated on the basis of the chlorophyll a concentration or of the Secchi Disk depth. Counting is done over varying fractions of the sedimentation chamber (transects, random fields, or entire chamber), depending on the characteristics of the sample.
DOI: 10.5281/zenodo.10987241
title: Phytoplankton data of NEREA Augmented Observatory

description: Samples were collected at the selected depth using Niskin bottles and immediately fixed with Lugol's solution (1%). Quantitative analysis is carried out using an inverted microscope after the settling of a variable volume of sample (Utermhöl, 1958). Volumes vary in relation to the number of cells present in the sample, which is estimated on the basis of the chlorophyll a concentration or of the Secchi Disk depth. Counting is done over varying fractions of the sedimentation chamber (transects, random fields, or entire chamber), depending on the characteristics of the sample.
DOI: 10.18419/darus-1389/377
title: modelC9E548513305406AA95103466EA6F2A012294.dat

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DOI: 10.18419/darus-1389/378
title: model02B2724587E54C76BCD097287BF7738712293.dat

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DOI: 10.18419/darus-1389/379
title: model6.dat_rnd.dat

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DOI: 10.18419/darus-1389/380
title: modelE6AA201A47964446B28BF5FB4D8313FF12293.dat

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DOI: 10.18419/darus-1389/381
title: model11F414C2259740C6B65F196AF522BC4D12294.dat

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DOI: 10.18419/darus-1389/382
title: metadata0.dat

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DOI: 10.18419/darus-1389/383
title: model23B472E672C74E4B817E4C9EB99734AE12294.dat

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DOI: 10.18419/darus-1389/384
title: model55F2F7AF4C954BE7A2A8B98520776F0112293.dat

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DOI: 10.18419/darus-1389/385
title: model89656EE6DBC24B3F93A34915FAF32D5D12294.dat

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DOI: 10.18419/darus-1389/386
title: model708B88BCE98D455AAF34BC5C56274B4412293.dat

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DOI: 10.18419/darus-1389/387
title: model628E09D90D2347E2917557DD5B406E4E12291.dat

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DOI: 10.5281/zenodo.10987214
title: Microzooplankton data of NEREA Augmented Observatory

description: Samples were collected at the selected depth using Niskin bottles and immediately fixed with Lugol's solution (1%). Quantitative analysis is carried out using an inverted microscope after the settling of a variable volume of sample (Utermhöl, 1958). Volumes vary in relation to the number of cells present in the sample. At first, 100mL are settled form each sample and cells enumerated. The volume of sample is considered sufficient if it is possible to count at least 100 cells on a transect. Otherwise additional volume is settled on top of the same chamber up to a maximum of 250mL. Counting is done over the whole sedimentation chamber or half of it, depending on the characteristics of the sample.
DOI: 10.5281/zenodo.10987215
title: Microzooplankton data of NEREA Augmented Observatory

description: Samples were collected at the selected depth using Niskin bottles and immediately fixed with Lugol's solution (1%). Quantitative analysis is carried out using an inverted microscope after the settling of a variable volume of sample (Utermhöl, 1958). Volumes vary in relation to the number of cells present in the sample. At first, 100mL are settled form each sample and cells enumerated. The volume of sample is considered sufficient if it is possible to count at least 100 cells on a transect. Otherwise additional volume is settled on top of the same chamber up to a maximum of 250mL. Counting is done over the whole sedimentation chamber or half of it, depending on the characteristics of the sample.
DOI: 10.18419/darus-1389/388
title: sfm0.dat

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DOI: 10.18419/darus-1389/389
title: model0CB5FE707722401B8504575655D2100B12291.dat

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DOI: 10.18419/darus-1389/390
title: animation0.dat

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DOI: 10.18419/darus-1389/391
title: model7626F5A27AB54B50A7AE0D5B2893FDFE12293.dat

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DOI: 10.18419/darus-1389/392
title: DSC02951.JPG

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DOI: 10.18419/darus-1389/395
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DOI: 10.18419/darus-1389/396
title: DSC03106.JPG

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