cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m62enu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.266 -1.994822, 110.195694 -2.000387, 110.127118 -2.016947, 110.061959 -2.044092, 110.00182 -2.081156, 109.948182 -2.127226, 109.902363 -2.181169, 109.865494 -2.241657, 109.838482 -2.307202, 109.821993 -2.376191, 109.816435 -2.446924, 109.821947 -2.517661, 109.838393 -2.58666, 109.865372 -2.652222, 109.90222 -2.712731, 109.948031 -2.766697, 110.001677 -2.81279, 110.061838 -2.849874, 110.12703 -2.877036, 110.195648 -2.893606, 110.266 -2.899175, 110.336352 -2.893606, 110.40497 -2.877036, 110.470162 -2.849874, 110.530323 -2.81279, 110.583969 -2.766697, 110.62978 -2.712731, 110.666628 -2.652222, 110.693607 -2.58666, 110.710053 -2.517661, 110.715565 -2.446924, 110.710007 -2.376191, 110.693518 -2.307202, 110.666506 -2.241657, 110.629637 -2.181169, 110.583818 -2.127226, 110.53018 -2.081156, 110.470041 -2.044092, 110.404882 -2.016947, 110.336306 -2.000387, 110.266 -1.994822))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046686-251120083545085/datasets/export for details.
DOI: 10.15468/dl.2pmhjv
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is Lund University Biological Museum - Botanical collection (LD)",
 "Geometry POLYGON((3.7238 51.67591,3.72219 51.66619,3.72326 51.65665,3.72205 51.65163,3.71018 51.63774,3.68886 51.62576,3.68468 51.61998,3.6832 51.60909,3.68185 51.59812,3.67645 51.58856,3.718 51.57784,3.7636 51.5775,3.80459 51.57553,3.85161 51.56769,3.86397 51.54803,3.86761 51.5364,3.86907 51.5299,3.88756 51.52993,3.89675 51.53867,3.9047 51.53872,3.91705 51.54295,3.92323 51.54203,3.92748 51.54007,3.9274 51.53901,3.9293 51.53934,3.92986 51.53917,3.92984 51.53871,3.92934 51.53836,3.9258 51.53798,3.92471 51.53777,3.92462 51.53708,3.92223 51.5364,3.93254 51.52059,3.94792 51.51801,3.96992 51.51841,3.9975 51.51299,4.01468 51.51226,4.03231 51.48769,4.06305 51.4614,4.09695 51.42238,4.23001 51.42617,4.22378 51.43815,4.22013 51.45743,4.22292 51.46249,4.21781 51.48866,4.21759 51.48977,4.21454 51.49209,4.20844 51.49388,4.18649 51.5005,4.17337 51.50516,4.17337 51.50516,4.17289 51.50796,4.17741 51.51515,4.17668 51.52313,4.09684 51.53989,4.02461 51.58513,4.07896 51.60003,4.17013 51.59004,4.18263 51.61429,4.1935 51.63213,4.19424 51.64022,4.19161 51.6446,4.16345 51.65582,4.16195 51.66021,4.16113 51.66959,4.15085 51.67925,4.10573 51.6737,4.09766 51.67061,4.09084 51.66488,4.06723 51.65766,4.0239 51.63682,3.98206 51.63005,3.97389 51.63221,3.94058 51.6425,3.93632 51.65434,3.898 51.65855,3.8422 51.70562,3.78983 51.71716,3.782 51.71917,3.7238 51.67591))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ulvophyceae, Prasiola, Rosenvingiella, Phaeophyceae, Florideophyceae, Bangiophyceae, Compsopogonophyceae, Stylonematophyceae)"
 ]
}

 The dataset includes 76 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046687-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kgyra
title: Occurrence Download

description: A dataset containing 780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans",
 "Year 1990-2025"
 ]
}

 The dataset includes 780 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046688-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15017405
title: nf-pitisfinder-test
DOI: 10.5281/zenodo.17896616
title: nf-pitisfinder-test
DOI: 10.7910/dvn/anqxmq
title: The Jean Nicolas Database

description: This dataverse contains the Jean Nicolas database, a comprehensive resource documenting 8,516 rebellions in France between 1661 and 1789. The database records each event's typology, chronology, location, participant characteristics, forms of confrontation and violence, legal consequences, sources, and authorship.
description: ObARDI
DOI: 10.15468/dl.cbuc3n
title: Occurrence Download

description: A dataset containing 63464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.6365 25.01042,121.79493 25.01042,121.79493 25.09294,121.6365 25.09294,121.6365 25.01042))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 63464 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046648-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/c6tlcp
title: 13 - Outflow model forced by MOLOCH input

description: GEOframe model streamflow output at the studied catchment outlet section in m3s-1 forced by precipitation and temperature derived from MOLOCH forecast model.
Using the MOLOCH temperature and precipitation input, discharge values at the various outlets were calculated by exploiting the previously calibrated hourly-level hydrologic model.
Naming conventions:
Q_YYYYMMDD_n°subbasin.csv
for example, Q_20180503_35.csv, number varies based on the date and the sub-basin which it refers to.
description: These data have been generated during PhD project "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production" - XXXVI cycle 2020-2024 - PhD Thesis Chapter 5
description: GEOframe
DOI: 10.13130/rd_unimi/c6tlcp/ewwdxc
title: Q_20180514_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/kxusbq
title: Q_20181018_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/opoda9
title: Q_20181025_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/ghzb8f
title: Q_20181003_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/1whwjx
title: Q_20181002_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/z3nvmw
title: Q_20181021_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/vbd3gl
title: Q_20180514_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/lpfll5
title: Q_20180503_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/yzbjlq
title: Q_20181026_35.csv
DOI: 10.15468/dl.jdg5kj
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Turnera sidoides carnea"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046690-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/c6tlcp/xkrc3l
title: Q_20181019_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/r6u604
title: Q_20180516_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/ydnbqd
title: Q_20181019_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/v1mo6i
title: Q_20181018_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/46cq6n
title: Q_20180516_35.csv
DOI: 10.5281/zenodo.17880622
title: LISCA-ALADIN HNN

description: Datasets used to train an observation operator for weather radar data assimilation.

LISCA_RADAR_2019_2023_INTERPOLATED_160km.nc.zip 

The dataset contains quality-controlled weather radar reflectivity observations from Lisca radar in Slovenia (46.07N, 15.29E, 945 m a.s.l., 0.5deg elevation angle) interpolated onto the ALADIN model grid using a nearest-neighbour methodology, yielding a horizontal spatial resolution of 4.4 km. Reflectivity is provided as hourly-summed values. Outliers are filtered out using a histogram-based Mahalanobis distance approach.

ALADIN_2019_2023_radar_time_aligned.nc.zip

The dataset contains temperature (t), horizontal wind components (u and v), relative humidity (r), at four level pressure (975 hPa, 925 hPa, 850 hPa, and 800 hPa) and three surface variables, 2m temperature (t2m), 2m relative humidity (r2m), and mean sea level pressure (msl) from the ALADIN numerical weather prediction model used at ARSO. Data are available at a horizontal resolution of 4.4 km (137×137 grid points centred on the Lisca radar location) and at temporal resolutions of 1h and 6h lead time, with a 6h analysis cycle (00, 06, 12, 18 UTC).   Finally, the dataset is filtered to retain only those timesteps for which corresponding radar observations were available.
DOI: 10.5281/zenodo.17880623
title: LISCA-ALADIN HNN

description: Datasets used to train an observation operator for weather radar data assimilation.

LISCA_RADAR_2019_2023_INTERPOLATED_160km.nc.zip 

The dataset contains quality-controlled weather radar reflectivity observations from Lisca radar in Slovenia (46.07N, 15.29E, 945 m a.s.l., 0.5deg elevation angle) interpolated onto the ALADIN model grid using a nearest-neighbour methodology, yielding a horizontal spatial resolution of 4.4 km. Reflectivity is provided as hourly-summed values. Outliers are filtered out using a histogram-based Mahalanobis distance approach.

ALADIN_2019_2023_radar_time_aligned.nc.zip

The dataset contains temperature (t), horizontal wind components (u and v), relative humidity (r), at four level pressure (975 hPa, 925 hPa, 850 hPa, and 800 hPa) and three surface variables, 2m temperature (t2m), 2m relative humidity (r2m), and mean sea level pressure (msl) from the ALADIN numerical weather prediction model used at ARSO. Data are available at a horizontal resolution of 4.4 km (137×137 grid points centred on the Lisca radar location) and at temporal resolutions of 1h and 6h lead time, with a 6h analysis cycle (00, 06, 12, 18 UTC).   Finally, the dataset is filtered to retain only those timesteps for which corresponding radar observations were available.
DOI: 10.13130/rd_unimi/c6tlcp/9dbddu
title: Q_20181003_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/uah6eg
title: Q_20181015_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/krumdk
title: Q_20181002_29.csv
DOI: 10.15468/dl.a6sxfq
title: Occurrence Download

description: A dataset listing the 3969 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((2.29481 48.80562,2.40691 48.80562,2.40691 48.89721,2.29481 48.89721,2.29481 48.80562))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset's 3969 records were derived from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046675-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/c6tlcp/xn9dtu
title: Q_20180509_29.csv
DOI: 10.15468/dl.qpkjm4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.007 -1.992822, 111.936694 -1.998387, 111.868119 -2.014947, 111.80296 -2.042092, 111.742821 -2.079156, 111.689182 -2.125226, 111.643364 -2.179169, 111.606495 -2.239657, 111.579482 -2.305203, 111.562994 -2.374191, 111.557436 -2.444924, 111.562947 -2.515661, 111.579394 -2.58466, 111.606373 -2.650222, 111.643221 -2.710731, 111.689032 -2.764697, 111.742678 -2.81079, 111.802838 -2.847874, 111.86803 -2.875036, 111.936648 -2.891606, 112.007 -2.897175, 112.077352 -2.891606, 112.14597 -2.875036, 112.211162 -2.847874, 112.271322 -2.81079, 112.324968 -2.764697, 112.370779 -2.710731, 112.407627 -2.650222, 112.434606 -2.58466, 112.451053 -2.515661, 112.456564 -2.444924, 112.451006 -2.374191, 112.434518 -2.305203, 112.407505 -2.239657, 112.370636 -2.179169, 112.324818 -2.125226, 112.271179 -2.079156, 112.21104 -2.042092, 112.145881 -2.014947, 112.077306 -1.998387, 112.007 -1.992822))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046689-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/c6tlcp/qrrcat
title: Q_20181023_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/uylnk1
title: Q_20181004_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/9hqlua
title: Q_20180512_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/i1cvpi
title: Q_20181007_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/huuwnv
title: Q_20180531_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/txqgi1
title: Q_20180531_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/lrvl5t
title: Q_20180528_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/gka4ki
title: Q_20180527_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/wsjddi
title: Q_20180501_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/pfadli
title: Q_20181010_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/cqvrsw
title: Q_20180517_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/srfr1n
title: Q_20180507_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/qgruyi
title: Q_20180520_35.csv
DOI: 10.24435/materialscloud:4d-rw
title: In search of the electron-phonon contribution to total energy

description: The total energy is a fundamental characteristic of solids, molecules, and nanostructures. In most first-principles calculations of the total energy, the nuclear kinetic operator is decoupled from the many-body electronic Hamiltonian and the dynamics of the nuclei is reintroduced afterwards. This two-step procedure introduced by Born and Oppenheimer (BO) is approximate. Energies beyond the electronic and vibrational (or phononic) main contributions might be relevant when small energy differences are important, such as when predicting stable polymorphs or describing magnetic energy landscape. We clarify the different flavors of BO decoupling and give an exact formulation for the total energy in the basis of BO electronic wavefunctions. Then, we list contributions, beyond the main ones, that appear in a perturbative expansion in powers of M0-1/4, where M0 is a typical nuclear mass, up to sixth order. Some of these might be grouped and denoted the electron-phonon contribution to total energy,  Eelph, that first appears at fourth order. The electronic inertial mass contributes at sixth order. We clarify that the sum of the Allen-Heine-Cardona zero-point renormalization of eigenvalues over occupied states is not the electron-phonon contribution to the total energy but a part of the phononic contribution. The computation of the lowest-order Eelph is implemented and shown to be small but non-negligible (3.8 meV per atom) in the case of diamond and its hexagonal polymorph. We also estimate the electronic inertial mass contribution and confirm the size-consistency of all computed terms.
DOI: 10.24435/materialscloud:wx-qw
title: In search of the electron-phonon contribution to total energy

description: The total energy is a fundamental characteristic of solids, molecules, and nanostructures. In most first-principles calculations of the total energy, the nuclear kinetic operator is decoupled from the many-body electronic Hamiltonian and the dynamics of the nuclei is reintroduced afterwards. This two-step procedure introduced by Born and Oppenheimer (BO) is approximate. Energies beyond the electronic and vibrational (or phononic) main contributions might be relevant when small energy differences are important, such as when predicting stable polymorphs or describing magnetic energy landscape. We clarify the different flavors of BO decoupling and give an exact formulation for the total energy in the basis of BO electronic wavefunctions. Then, we list contributions, beyond the main ones, that appear in a perturbative expansion in powers of M0-1/4, where M0 is a typical nuclear mass, up to sixth order. Some of these might be grouped and denoted the electron-phonon contribution to total energy,  Eelph, that first appears at fourth order. The electronic inertial mass contributes at sixth order. We clarify that the sum of the Allen-Heine-Cardona zero-point renormalization of eigenvalues over occupied states is not the electron-phonon contribution to the total energy but a part of the phononic contribution. The computation of the lowest-order Eelph is implemented and shown to be small but non-negligible (3.8 meV per atom) in the case of diamond and its hexagonal polymorph. We also estimate the electronic inertial mass contribution and confirm the size-consistency of all computed terms.
DOI: 10.13130/rd_unimi/c6tlcp/ihh9k1
title: Q_20181001_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/kwu6ln
title: Q_20180518_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/hppm5r
title: Q_20180525_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/oe12py
title: Q_20180508_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/vdjbrf
title: Q_20180513_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/lznvgp
title: Q_20181030_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/xcc9u5
title: Q_20181017_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/fvjrrn
title: Q_20180520_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/gaim5a
title: Q_20181014_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/hlhofl
title: Q_20181010_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/mulo4e
title: Q_20181016_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/390bbe
title: Q_20180506_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/m9whbo
title: Q_20181011_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/qjpzor
title: Q_20181015_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/3j47v0
title: Q_20180519_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/5pg8h4
title: Q_20181013_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/pqwsx1
title: Q_20180507_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/5cro21
title: Q_20181021_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/bnyrrm
title: Q_20181027_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/jr3yhx
title: Q_20181031_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/gd65ui
title: Q_20180511_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/yhbrg4
title: Q_20181006_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/0knga1
title: Q_20181016_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/yq96yk
title: Q_20180509_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/2ze3oc
title: Q_20181025_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/eeldnr
title: Q_20180523_29.csv
DOI: 10.13130/rd_unimi/yol2c5
title: 08 - IDW and TPS correction

description: Spatial IDW and TPS correction of the hourly radar precipitation values for each centroid of the study area.
Once the residuals at the rain gauge locations were calculated with respect to the radar, the error was interpolated exploiting the Inverse Distance Weighting (Thin Plate Spline) method and added to the radar values in each 1 km x 1 km cell (radar considered as the trend).
Naming conventions: 
P_R_idw_n°.csv and P_R_tps_n°.csv
for example, P_R_idw_2.csv, number varies based on the centroid which it refers to.
description: These data have been generated during PhD project "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production" - XXXVI cycle 2020-2024 - PhD Thesis Chapter 4
description: RStudio
DOI: 10.13130/rd_unimi/c6tlcp/je1ah9
title: Q_20181030_29.csv
DOI: 10.13130/rd_unimi/yol2c5/tduaja
title: P_R_idw_6.csv
DOI: 10.13130/rd_unimi/c6tlcp/rqifi8
title: Q_20180510_29.csv
DOI: 10.13130/rd_unimi/yol2c5/vhsow3
title: P_R_idw_29.csv
DOI: 10.13130/rd_unimi/c6tlcp/0nhtqv
title: Q_20181022_29.csv
DOI: 10.13130/rd_unimi/yol2c5/3o0gyn
title: P_R_tps_37.csv
DOI: 10.13130/rd_unimi/yol2c5/sxeuc8
title: P_R_tps_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/lhkcjb
title: Q_20181029_35.csv
DOI: 10.13130/rd_unimi/c6tlcp/qzkvvj
title: Q_20181005_29.csv
DOI: 10.13130/rd_unimi/yol2c5/kd9fmz
title: P_R_idw_14.csv
DOI: 10.5285/45971c35-9c85-3c97-e063-7086abc04c9e
title: Porcupine Abyssal Plain Sustained Observatory (PAP-SO) bottle dissolved inorganic carbon (DIC) and total alkalinity (TA) data from CTD casts taken during research cruise JC278, May/June 2025

description: Dissolved Inorganic Carbon (DIC) and Total Alkalinity (TA) data taken from CTD casts around the Porcupine Abyssal Plain Sustained Observatory site (PAP-SO located at 49N, 16.5W) and surrounding area during research cruise RRS James Cook JC278 in May-June 2025. Samples were analysed post-cruise by scientists at the National Oceanography Centre Southampton using the VINDTA and Dickson alkalinity titration methods. The analysis was part of the Natural Environment Research Council (NERC)-funded AtlantiS project. These data will be used to calibrate underway pCO2 data, sensors on the PAP1 mooring, and glider sensors.
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