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

description: A dataset containing 6517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-118.4698226000000005 34.0137933000000032, -118.4698226000000005 34.0199521500000017, -118.4698226000000005 34.0236474599999994, -118.4698226000000005 34.0273427699999971, -118.4698226000000005 34.0320235000000011, -118.4698226000000005 34.0347333899999995, -118.4698226000000005 34.0384286999999972, -118.4663707600000038 34.0384286999999972, -118.4616858100000059 34.0384286999999972, -118.4562611399999952 34.0384286999999972, -118.4510830400000003 34.0384286999999972, -118.4441789100000051 34.0384286999999972, -118.4399871199999978 34.0384286999999972, -118.4328364099999931 34.0384286999999972, -118.4276583099999982 34.0384286999999972, -118.4249461999999937 34.0384286999999972, -118.4249461999999937 34.0322698499999987, -118.4249461999999937 34.0285745400000010, -118.4249461999999937 34.0234011100000018, -118.4249461999999937 34.0199521500000017, -118.4249461999999937 34.0137933000000032, -118.4311103800000069 34.0137933000000032, -118.4348090200000030 34.0137933000000032, -118.4409734200000059 34.0137933000000032, -118.4444254900000004 34.0137933000000032, -118.4498501599999969 34.0137933000000032, -118.4567542900000063 34.0137933000000032, -118.4614392400000042 34.0137933000000032, -118.4648913000000050 34.0137933000000032, -118.4698226000000005 34.0137933000000032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 6517 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091085-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8m94wy
title: Occurrence Download

description: A dataset containing 27070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lasioglossum morio (Fabricius, 1793))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 27070 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243819-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwkbbz
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pancheria engleriana Schltr."
 ]
}

 The dataset includes 538 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201028-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gospsd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Royal Ontario Museum Green Plant Herbarium (TRT)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001615-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up2mks
title: Occurrence Download

description: A dataset containing 11832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Poecilia latipinna (Lesueur, 1821)"
 ]
}

 The dataset includes 11832 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092419-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwshd2
title: Occurrence Download

description: A dataset containing 3492059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Podilymbus Lesson, 1831"
 ]
}

 The dataset includes 3492059 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019047-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwsbd8
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passalora gymnocladi (Ellis & Kellerm.) U.Braun",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125786-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exfh7y
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erblichia odorata Seem."
 ]
}

 The dataset's 7 records were derived from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092432-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr2rg5
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tremex fuscicornis (Fabricius, 1787)"
 ]
}

 The dataset includes 684 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008120-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17776293
title: Training data for FNN

description: Training data for the forward model for electromagnetic (EM) as described in: A Generative-AI Modeling Framework for Explainable Decision Support in ComplexGeosteering Scenarios; Sergey Alyaev, Kristian Fossum, Hibat Errahmen Djecta, Jan Tveranger, Ahmed H. Elsheikh. 

The data consists of two zip files: Y_val.zip and X_val.zip. When unzipped, they both contain 800.000 labeled CSV files. We recommend reading the files as dataframes. The X files contain Rh, Rv, and a one-hot encoding of the well position for a column of 0.5 m cells. The Y_val contains EM responses for 6 tool configurations as described in the file.
DOI: 10.5281/zenodo.17776294
title: Training data for FNN

description: Training data for the forward model for electromagnetic (EM) as described in: A Generative-AI Modeling Framework for Explainable Decision Support in ComplexGeosteering Scenarios; Sergey Alyaev, Kristian Fossum, Hibat Errahmen Djecta, Jan Tveranger, Ahmed H. Elsheikh. 

The data consists of two zip files: Y_val.zip and X_val.zip. When unzipped, they both contain 800.000 labeled CSV files. We recommend reading the files as dataframes. The X files contain Rh, Rv, and a one-hot encoding of the well position for a column of 0.5 m cells. The Y_val contains EM responses for 6 tool configurations as described in the file.
DOI: 10.15468/dl.b6ddgs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-116.1861 35.85952, -116.1864 35.85924, -116.1868 35.85895, -116.187 35.85864, -116.1873 35.85833, -116.1875 35.858, -116.1878 35.85766, -116.188 35.85731, -116.1881 35.85696, -116.1883 35.8566, -116.1884 35.85623, -116.1885 35.85586, -116.1886 35.85548, -116.1887 35.8551, -116.1887 35.85472, -116.1887 35.85434, -116.1887 35.85395, -116.1886 35.85357, -116.1886 35.85319, -116.1885 35.85282, -116.1884 35.85245, -116.1882 35.85208, -116.1881 35.85172, -116.1879 35.85137, -116.1877 35.85103, -116.1874 35.85069, -116.1872 35.85037, -116.1869 35.85006, -116.1866 35.84976, -116.1863 35.84947, -116.186 35.8492, -116.1856 35.84894, -116.1853 35.84869, -116.1849 35.84846, -116.1845 35.84825, -116.1841 35.84805, -116.1837 35.84788, -116.1833 35.84772, -116.1825 35.84746, -116.1821 35.84732, -116.1816 35.8472, -116.1812 35.84709, -116.1807 35.84701, -116.1803 35.84695, -116.1798 35.8469, -116.1793 35.84688, -116.1789 35.84687, -116.1784 35.84688, -116.1779 35.84692, -116.1775 35.84697, -116.177 35.84704, -116.1766 35.84713, -116.1761 35.84724, -116.1757 35.84737, -116.1753 35.84752, -116.1748 35.84768, -116.1744 35.84787, -116.174 35.84807, -116.1737 35.84828, -116.1733 35.84851, -116.1729 35.84876, -116.1726 35.84902, -116.1723 35.84929, -116.172 35.84958, -116.1717 35.84988, -116.1714 35.85019, -116.1709 35.85081, -116.1707 35.85114, -116.1705 35.85147, -116.1703 35.85181, -116.1701 35.85216, -116.1699 35.85252, -116.1698 35.85289, -116.1697 35.85326, -116.1696 35.85363, -116.1695 35.85401, -116.1695 35.85438, -116.1695 35.85476, -116.1695 35.85514, -116.1695 35.85552, -116.1696 35.8559, -116.1697 35.85627, -116.1698 35.85664, -116.1699 35.85701, -116.1701 35.85736, -116.1703 35.85771, -116.1705 35.85806, -116.1707 35.85839, -116.1709 35.85872, -116.1712 35.85903, -116.1715 35.85933, -116.1718 35.85962, -116.1721 35.8599, -116.1724 35.86016, -116.1728 35.86041, -116.1733 35.86074, -116.1737 35.86097, -116.1741 35.86119, -116.1745 35.86139, -116.1749 35.86157, -116.1753 35.86174, -116.1757 35.86188, -116.1762 35.86201, -116.1766 35.86212, -116.1771 35.86221, -116.1775 35.86228, -116.178 35.86234, -116.1785 35.86237, -116.1789 35.86238, -116.1794 35.86237, -116.1799 35.86234, -116.1803 35.8623, -116.1808 35.86223, -116.1812 35.86214, -116.1817 35.86204, -116.1821 35.86191, -116.1826 35.86177, -116.183 35.86161, -116.1834 35.86143, -116.1838 35.86123, -116.1842 35.86102, -116.1846 35.86079, -116.1849 35.86054, -116.1853 35.86028, -116.1856 35.86001, -116.1859 35.85972, -116.1861 35.85958, -116.1861 35.85952))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021266-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17780444
title: Data for "Exploring vibronic dynamics near a sloped conical intersection with trapped Rydberg ions"
DOI: 10.5281/zenodo.17780445
title: Data for "Exploring vibronic dynamics near a sloped conical intersection with trapped Rydberg ions"
DOI: 10.15468/dl.vdmpm8
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triodia epactia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 621 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021267-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8grm65
title: Occurrence Download

description: A dataset containing 128 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 GBIF_WITHIN('POLYGON((-152.61622 -17.87006,-18.38378 -17.87006,-18.38378 35.87006,-152.61622 35.87006,-152.61622 -17.87006))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2491628 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2491628 OR CAST(occurrence.kingdomkey AS INTEGER) = 2491628 OR CAST(occurrence.phylumkey AS INTEGER) = 2491628 OR CAST(occurrence.classkey AS INTEGER) = 2491628 OR CAST(occurrence.orderkey AS INTEGER) = 2491628 OR CAST(occurrence.familykey AS INTEGER) = 2491628 OR CAST(occurrence.genuskey AS INTEGER) = 2491628 OR CAST(occurrence.specieskey AS INTEGER) = 2491628)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 128 records were derived from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021243-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k33q5c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-116.1764 35.84589, -116.176 35.84611, -116.1757 35.84633, -116.1753 35.84658, -116.175 35.84684, -116.1747 35.84711, -116.1744 35.8474, -116.1741 35.84769, -116.1738 35.848, -116.1736 35.84832, -116.1733 35.84865, -116.1731 35.84899, -116.173 35.84934, -116.1728 35.84969, -116.1727 35.85005, -116.1726 35.85042, -116.1725 35.85079, -116.1724 35.85116, -116.1724 35.85153, -116.1723 35.85191, -116.1724 35.85229, -116.1724 35.85266, -116.1724 35.85303, -116.1725 35.85341, -116.1726 35.85377, -116.1727 35.85414, -116.1729 35.85449, -116.1731 35.85484, -116.1733 35.85518, -116.1735 35.85552, -116.1737 35.85584, -116.174 35.85616, -116.1742 35.85646, -116.1745 35.85675, -116.1748 35.85703, -116.1752 35.85729, -116.1772 35.85884, -116.1775 35.85909, -116.1779 35.85933, -116.1783 35.85955, -116.1787 35.85975, -116.1791 35.85994, -116.1795 35.86011, -116.1799 35.86026, -116.1803 35.8604, -116.1808 35.86051, -116.1812 35.86061, -116.1817 35.86069, -116.1821 35.86076, -116.1826 35.8608, -116.183 35.86082, -116.1835 35.86082, -116.184 35.86081, -116.1844 35.86077, -116.1849 35.86072, -116.1853 35.86065, -116.1858 35.86056, -116.1862 35.86045, -116.1867 35.86032, -116.1871 35.86017, -116.1875 35.86001, -116.1906 35.8587, -116.191 35.85852, -116.1914 35.85832, -116.1918 35.8581, -116.1922 35.85787, -116.1925 35.85763, -116.1928 35.85737, -116.1932 35.85709, -116.1935 35.85681, -116.1937 35.85651, -116.194 35.85619, -116.1943 35.85587, -116.1945 35.85554, -116.1947 35.8552, -116.1949 35.85485, -116.195 35.8545, -116.1951 35.85414, -116.1952 35.85377, -116.1953 35.8534, -116.1954 35.85303, -116.1954 35.85265, -116.1955 35.85227, -116.1954 35.8519, -116.1954 35.85152, -116.1953 35.85115, -116.1953 35.85077, -116.1952 35.85041, -116.195 35.85004, -116.1949 35.84969, -116.1947 35.84934, -116.1936 35.84722, -116.1934 35.84687, -116.1932 35.84653, -116.1929 35.8462, -116.1926 35.84588, -116.1924 35.84558, -116.1921 35.84528, -116.1917 35.845, -116.1914 35.84474, -116.191 35.84449, -116.1907 35.84425, -116.1903 35.84403, -116.1899 35.84383, -116.1894 35.84364, -116.189 35.84348, -116.1886 35.84333, -116.1881 35.8432, -116.1877 35.84309, -116.1872 35.843, -116.1868 35.84293, -116.1863 35.84287, -116.1858 35.84284, -116.1853 35.84283, -116.1849 35.84284, -116.1844 35.84287, -116.1839 35.84292, -116.1835 35.84299, -116.183 35.84308, -116.1826 35.84319, -116.1821 35.84332, -116.1817 35.84347, -116.1812 35.84363, -116.1808 35.84381, -116.1768 35.84569, -116.1764 35.84589))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021270-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17782383
title: Replication Data for "Macro-Level Planning of Photovoltaic Capacity: Clustering, Logistic Maturity, and Budget Allocation in the EU"

description: This dataset accompanies the article “Macro-Level Planning of Photovoltaic Capacity: Clustering, Logistic Maturity, and Budget Allocation in the EU” and contains the country–year panel and derived indicators used in the empirical analysis.

The deposit includes four CSV files:





pv_panel_EU22_2012_2022.csvBalanced panel of net maximum electrical capacity of photovoltaic installations (MW) for 22 EU member states, 2012–2022.





Source: Eurostat table nrg_inf_epc (“Electricity production capacities by main fuel groups and operator”), filtered for:





Fuel group: solar photovoltaic




Indicator: net maximum electrical capacity




Operator: main-activity producers




Unit: megawatt (MW)






GEO coverage (22 countries used in the analysis): Austria, Bulgaria, Croatia, Cyprus, Czechia, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Netherlands, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden.




Variables: Country, Year, PV_MW.






pv_logistic_parameters_eu22.csvCountry-level logistic growth estimates for photovoltaic capacity based on bounded nonlinear least squares.





Variables include: country name, logistic ceiling KK, intrinsic growth rate rr, inflection year t0t0, RMSE, NRMSE, projected 80% and 90% saturation years, and a Reliable flag indicating whether the fit passes the quality criteria described in the paper (minimum rr, NRMSE < 0.30, and maturity years before 2100).






pv_lagging_initial_shortfalls_2022.csvInitial 2022 shortfalls for “lagging” countries relative to the stylised 5 GW benchmark used in the allocation experiment.





Variables: Country, PV_2022 (current net capacity in MW), Target (set to 5000 MW), Shortfall (Target − PV_2022).






pv_allocation_10GW_results.csvResults of the 10 GW proportional reallocation scenario applied to the lagging countries.





Variables include: Country, Current_Capacity (MW), Target (5000 MW), Shortfall, Allocated (MW received under the 10 GW budget), Post_Allocation (capacity after allocation), and Progress_2030 (share of the 5 GW target reached after allocation).





All computations were performed in R (version 4.4.2). The scripts used to generate the results are available from the corresponding author on reasonable request.
DOI: 10.5281/zenodo.17782382
title: Replication Data for "Macro-Level Planning of Photovoltaic Capacity: Clustering, Logistic Maturity, and Budget Allocation in the EU"

description: This dataset accompanies the article “Macro-Level Planning of Photovoltaic Capacity: Clustering, Logistic Maturity, and Budget Allocation in the EU” and contains the country–year panel and derived indicators used in the empirical analysis.

The deposit includes four CSV files:





pv_panel_EU22_2012_2022.csvBalanced panel of net maximum electrical capacity of photovoltaic installations (MW) for 22 EU member states, 2012–2022.





Source: Eurostat table nrg_inf_epc (“Electricity production capacities by main fuel groups and operator”), filtered for:





Fuel group: solar photovoltaic




Indicator: net maximum electrical capacity




Operator: main-activity producers




Unit: megawatt (MW)






GEO coverage (22 countries used in the analysis): Austria, Bulgaria, Croatia, Cyprus, Czechia, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Netherlands, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden.




Variables: Country, Year, PV_MW.






pv_logistic_parameters_eu22.csvCountry-level logistic growth estimates for photovoltaic capacity based on bounded nonlinear least squares.





Variables include: country name, logistic ceiling KK, intrinsic growth rate rr, inflection year t0t0, RMSE, NRMSE, projected 80% and 90% saturation years, and a Reliable flag indicating whether the fit passes the quality criteria described in the paper (minimum rr, NRMSE < 0.30, and maturity years before 2100).






pv_lagging_initial_shortfalls_2022.csvInitial 2022 shortfalls for “lagging” countries relative to the stylised 5 GW benchmark used in the allocation experiment.





Variables: Country, PV_2022 (current net capacity in MW), Target (set to 5000 MW), Shortfall (Target − PV_2022).






pv_allocation_10GW_results.csvResults of the 10 GW proportional reallocation scenario applied to the lagging countries.





Variables include: Country, Current_Capacity (MW), Target (5000 MW), Shortfall, Allocated (MW received under the 10 GW budget), Post_Allocation (capacity after allocation), and Progress_2030 (share of the 5 GW target reached after allocation).





All computations were performed in R (version 4.4.2). The scripts used to generate the results are available from the corresponding author on reasonable request.
DOI: 10.34943/b4ff28cc-14e0-4cf2-8381-18bc2a406d71
title: Oceanic Explorer Navigation System Deployed 2020-03-01

description: The Oceanic Explorer Navigation 01 was deployed on 2020-03-01 on Oceanic Explorer. This Remotely Operated Vehicle is operated by Canpac Divers, Inc. This device is a Navigation System. Navigational instruments are used to measure and record positional information of ships, buoys, and autonomous underwater vehicles (AUVs). Typical sensors include latitude, longitude, speed, heading, pitch, roll, and depth. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.