cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/amzcwl
title: Inventariserend Veldonderzoek d.m.v. boringen Waterleiding Havikerwaard, gemeente Rheden, Zevenaar en Doesburg
title: Antea Group Archeologie 2024/228

description: Het uitgevoerde booronderzoek laat een interessante landschappelijke opeenvolging zien van eerst een deels intact, oud (laat pleistoceen) rivierenlandschap in het oostelijk deel van het plangebied (deelgebied 1 en 2). In het centrale deel van het plangebied volgt een door de jonge rivierdynamiek (middeleeuwse IJssel) omgewerkt
landschap, waar dit oude rivierenlandschap grotendeels of geheel is opgeruimd (deelgebied 4 en 5). Het plangebied reikt in het uiterste westen nog net tot aan het veel oudere pleistocene stuwwallengebied (deelgebied 3). In het jonge rivierenlandschap zijn, naast geulen en komklei, een tweetal oeverwallen aangetroffen, vermoedelijk toebehorend aan de Lamme IJssel. In het oude rivierenlandschap in deelgebied 1
zijn in een geulvulling vegetatiehorizonten aangetroffen die mogelijk een oud loopvlak vertegenwoordigen. Nederzettingsresten uit de prehistorie of de middeleeuwen worden hier niet direct op verwacht, deze zullen eerder op een voorkeurslocatie zoals op de nabijgelegen rivierduinen hebben gelegen. Wel kunnen hier aan de rivier gebonden archeologische resten aanwezig zijn en bewoning door jagers-verzamelaars. Rivierduinen en intacte (jonge) rivierterrassen zijn in dit gebied (ook aan de oostzijde van de IJssel) grotendeels verstoord of geërodeerd. In het uiterste westen van het plangebied (langs de Eikenstraat) ligt een rivierduin die voldoende hoog was om met de doorbraak van de IJssel niet weggespoeld te worden (deelgebied 6). Deze geïsoleerde opduiking is een relevante locatie waarop ook reeds een archeologische vindplaats is aangetoond. In vergelijkbare mate is ook de hellingafzetting in het uiterste noordwesten van het plangebied relevant (deelgebied 3). Zowel het rivierduin als de hellingafzetting zijn afgedekt met een plaggendek.
Selectieadvies Binnen het plangebied zijn meerdere deelgebieden waar potentiële archeologische lagen zijn aangetroffen in de vorm van een (restant van een) oude eerdlaag/cultuurlaag, vegetatieniveaus en oeverwalachtige lagen. Er wordt geadviseerd om voor deze locaties vervolgonderzoek in de vorm en een inventariserend veldonderzoek d.m.v. een proefsleuvenonderzoek (IVO-p), variant archeologisch begeleiden. Hierbij wordt het civieltechnisch graafwerk archeologisch begeleid. Dit dient plaats te vinden in de geselecteerde locaties in deelgebied 1, 3, 4 en
5. Daarnaast wordt voor locatie 6 aanbevolen een regulier IVO-p uit te voeren voorafgaand aan het civieltechnisch werk, gezien de hoge kans op kwetsbare archeologische resten (grafveld). In tabel 3 zijn de verwachtingen uitgeschreven en getoetst aan de voorgenomen ingreep (2,0 m -mv). Voor het uitvoeren van een IVO-p, al dan niet in de vorm van een archeologische begeleiding, is een door de overheid goedgekeurd Programma van Eisen (PVE) verplicht gesteld.
DOI: 10.6084/m9.figshare.29616998
title: Orignal data

description: The original data for soil analysis under warming
DOI: 10.6084/m9.figshare.29616998.v2
title: Orignal data

description: The original data for soil analysis under warming
DOI: 10.6084/m9.figshare.29616998.v1
title: Orignal data

description: The original data for soil analysis under warming
DOI: 10.15468/dl.ffws69
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeolesthes holosericea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018896-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7s9g4w
title: Occurrence Download

description: A dataset containing 2010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocosmia crocosmiiflora"
 ]
}

 The dataset includes 2010 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018898-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y9m5p
title: Occurrence Download

description: A dataset containing 5867642 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Other BSBI Scottish data up to 2018"
 ]
}

 The dataset includes 5867642 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018881-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhpw3t
title: Occurrence Download

description: A dataset containing 18048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Secale afghanicum, Secale ancestrale afghanicum, Secale ancestrale dighoricum, Secale cereale afghanicum, Secale cereale dighoricum, Secale cereale segetale, Secale cereale segetale, Secale cereale afghanicum, Secale cereale dighoricum, Secale cereale dighoricum, Secale cereale segetale, Secale dighoricum, Secale segetale afghanicum, Secale segetale afghanicum, Secale segetale dighoricum, Secale segetale afghanicum, Secale segetale dighoricum, Secale vavilovii afghanicum, Secale vavilovii segetale, Alpagrostis setacea, Agraulus setaceus, Agrestis setacea, Agrostis curtisii, Agrostis rupestris setacea, Agrostis setacea, Agrostis setacea debilis, Trichodium setaceum, Vilfa setacea, Tragus racemosus, Aira malatrina, Aira malatrina, Cenchrus linearis, Cenchrus racemosus, Lappago biflora, Lappago decipiens, Lappago racemosa, Nazia racemosa, Phalaris muricata, Tragus adriaticus, Tragus arenarius, Tragus biflorus, Tragus brevicaulis, Tragus decipiens, Tragus echinatus, Tragus halleri, Tragus muricatus, Tragus orientalis, Tragus pallens, Tragus paucispinus, Tragus racemosus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 18048 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018897-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16366858
title: AQR_R-loops

description: Code and data accompanying the paper "Aquarius helicase facilitates HIV-1 integration into R-loop enriched genomic regions",

Penzo C, Özel I, Martinovic M, Kuzman M, Glavas D, Stanic M, Reichenbach T, Müller TG, Rheinberger M, Godarzi N, Lapaillerie D, Srezovic B, dell'Oca MC, Lange LC, Sadhu L, de Castro IJ, Shytaj IL, Forcato M, Laketa V, Bicciato S, Vlahovicek K, Fackler OT, Lucic B, Pena V, Kräusslich HG, Parissi V, Lusic M. Aquarius helicase facilitates HIV-1 integration into R-loop enriched genomic regions. Nat Microbiol. 2025 Aug 20. doi: 10.1038/s41564-025-02089-2. Epub ahead of print. PMID: 40836041.
DOI: 10.6084/m9.figshare.30030907
title: Version 1.0 (updated 2025-09-02)

description: This dataset provides high-resolution monthly surface ocean fugacity of CO<sub>2</sub> (fCO<sub>2</sub>) and derived sea–air CO<sub>2</sub> fluxes for the global ocean over the period 2003–2022.<b><i>fCO2_monthly_mean_XXXX-XXXX_4km.nc:</i></b>These files contain monthly mean surface ocean fCO<sub>2</sub> at 4 km resolution, stored in 5-year intervals (2003–2007, 2008–2012, 2013–2017, 2018–2022). Values are given in 10⁻¹ μatm. The estimates were generated using a machine learning model trained with in situ measurements from the SOCAT database, together with MODIS satellite images and several environmental parameters (see Methods in the associated paper). Land and data-void (no observation) grid cells are masked with zero values.<b><i>CO2_Flux_1M_1deg_2003-2022.nc:</i></b>This file provides monthly sea–air CO<sub>2</sub> fluxes (mol m<sup>-2</sup> yr<sup>-1</sup>) at 1° spatial resolution for 2003–2022. The fluxes were computed using flux-related parameters together with resampled fCO<sub>2</sub> fields (<b><i>fCO2_1M_1deg_2003-2022.nc</i></b>, in μatm) to ensure consistency of spatial resolution in the input data.<b><i>fCO2_1M_1deg_2003-2022_coarse-inputs.nc:</i></b>For comparison, we also provide a coarse-resolution (1° grid) fCO<sub>2</sub> product generated with the same machine learning framework but using coarser input parameters, including the ESA OC-CCI v6 gap-filled dataset. This product facilitates evaluation against previous studies and coarse-resolution reconstructions.
DOI: 10.6084/m9.figshare.30030907.v1
title: Version 1.0 (updated 2025-09-02)

description: This dataset provides high-resolution monthly surface ocean fugacity of CO<sub>2</sub> (fCO<sub>2</sub>) and derived sea–air CO<sub>2</sub> fluxes for the global ocean over the period 2003–2022.<b><i>fCO2_monthly_mean_XXXX-XXXX_4km.nc:</i></b>These files contain monthly mean surface ocean fCO<sub>2</sub> at 4 km resolution, stored in 5-year intervals (2003–2007, 2008–2012, 2013–2017, 2018–2022). Values are given in 10⁻¹ μatm. The estimates were generated using a machine learning model trained with in situ measurements from the SOCAT database, together with MODIS satellite images and several environmental parameters (see Methods in the associated paper). Land and data-void (no observation) grid cells are masked with zero values.<b><i>CO2_Flux_1M_1deg_2003-2022.nc:</i></b>This file provides monthly sea–air CO<sub>2</sub> fluxes (mol m<sup>-2</sup> yr<sup>-1</sup>) at 1° spatial resolution for 2003–2022. The fluxes were computed using flux-related parameters together with resampled fCO<sub>2</sub> fields (<b><i>fCO2_1M_1deg_2003-2022.nc</i></b>, in μatm) to ensure consistency of spatial resolution in the input data.<b><i>fCO2_1M_1deg_2003-2022_coarse-inputs.nc:</i></b>For comparison, we also provide a coarse-resolution (1° grid) fCO<sub>2</sub> product generated with the same machine learning framework but using coarser input parameters, including the ESA OC-CCI v6 gap-filled dataset. This product facilitates evaluation against previous studies and coarse-resolution reconstructions.
DOI: 10.5281/zenodo.16366857
title: AQR_R-loops

description: Code and data accompanying the paper "Aquarius helicase facilitates HIV-1 integration into R-loop enriched genomic regions",

Penzo C, Özel I, Martinovic M, Kuzman M, Glavas D, Stanic M, Reichenbach T, Müller TG, Rheinberger M, Godarzi N, Lapaillerie D, Srezovic B, dell'Oca MC, Lange LC, Sadhu L, de Castro IJ, Shytaj IL, Forcato M, Laketa V, Bicciato S, Vlahovicek K, Fackler OT, Lucic B, Pena V, Kräusslich HG, Parissi V, Lusic M. Aquarius helicase facilitates HIV-1 integration into R-loop enriched genomic regions. Nat Microbiol. 2025 Aug 20. doi: 10.1038/s41564-025-02089-2. Epub ahead of print. PMID: 40836041.
DOI: 10.15468/dl.2pvhw7
title: Occurrence Download

description: A dataset containing 36945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 1990",
 "HasCoordinate is true",
 "Geometry MULTIPOLYGON (((13 -4, 13 -3, 12 -3, 12 -4, 13 -4)), ((15 -5, 15 -4, 14 -4, 14 -5, 15 -5)), ((31 -2, 31 -4, 30 -4, 30 -5, 31 -5, 31 -7, 32 -7, 32 -8, 33 -8, 34 -8, 35 -8, 35 -7, 36 -7, 36 -6, 35 -6, 35 -5, 34 -5, 34 -2, 33 -2, 32 -2, 31 -2)), ((31 -8, 31 -7, 30 -7, 30 -8, 31 -8)), ((29 -6, 29 -5, 28 -5, 28 -6, 29 -6)), ((13 -2, 13 -1, 12 -1, 12 -2, 13 -2)), ((39 -17, 39 -16, 38 -16, 38 -17, 39 -17)), ((33 -16, 33 -17, 34 -17, 34 -15, 33 -15, 32 -15, 32 -16, 33 -16)), ((14 -10, 14 -11, 15 -11, 15 -7, 14 -7, 14 -6, 13 -6, 12 -6, 12 -7, 13 -7, 13 -10, 14 -10)), ((36 -11, 36 -13, 37 -13, 37 -15, 38 -15, 39 -15, 39 -16, 40 -16, 41 -16, 41 -13, 40 -13, 40 -11, 41 -11, 41 -10, 40 -10, 40 -9, 39 -9, 39 -8, 38 -8, 37 -8, 37 -9, 36 -9, 36 -10, 35 -10, 35 -11, 36 -11)), ((33 -21, 32 -21, 32 -27, 33 -27, 33 -25, 34 -25, 35 -25, 35 -23, 36 -23, 36 -22, 35 -22, 35 -21, 34 -21, 34 -20, 33 -20, 33 -21)), ((35 -17, 35 -19, 36 -19, 37 -19, 37 -18, 38 -18, 38 -17, 37 -17, 36 -17, 35 -17)), ((44 -16, 44 -21, 43 -21, 43 -23, 44 -23, 44 -25, 45 -25, 45 -26, 46 -26, 46 -25, 47 -25, 47 -24, 46 -24, 46 -19, 45 -19, 45 -17, 46 -17, 46 -18, 47 -18, 47 -17, 48 -17, 48 -15, 47 -15, 46 -15, 46 -16, 45 -16, 44 -16)), ((22 -20, 22 -21, 23 -21, 24 -21, 25 -21, 26 -21, 26 -22, 27 -22, 27 -24, 26 -24, 26 -25, 25 -25, 25 -27, 26 -27, 27 -27, 27 -28, 28 -28, 28 -27, 29 -27, 29 -30, 28 -30, 28 -31, 27 -31, 27 -32, 26 -32, 26 -33, 25 -33, 24 -33, 23 -33, 22 -33, 22 -34, 23 -34, 24 -34, 25 -34, 26 -34, 27 -34, 27 -33, 28 -33, 29 -33, 29 -32, 30 -32, 30 -31, 31 -31, 31 -26, 30 -26, 30 -24, 29 -24, 29 -22, 30 -22, 30 -20, 29 -20, 29 -19, 28 -19, 27 -19, 27 -18, 26 -18, 25 -18, 25 -17, 26 -17, 26 -16, 25 -16, 25 -15, 24 -15, 23 -15, 23 -10, 24 -10, 25 -10, 25 -8, 26 -8, 27 -8, 28 -8, 29 -8, 29 -7, 28 -7, 28 -6, 27 -6, 27 -7, 26 -7, 26 -6, 25 -6, 25 -7, 24 -7, 24 -6, 23 -6, 22 -6, 22 -5, 23 -5, 23 -2, 24 -2, 25 -2, 26 -2, 27 -2, 28 -2, 28 -1, 27 -1, 27 9.998757e-11, 26 9.998757e-11, 26 1, 25 1, 24 1, 24 2, 23 2, 22 2, 21 2, 20 2, 19 2, 18 2, 17 2, 17 1, 16 1, 16 9.998757e-11, 14 9.998757e-11, 14 -2, 13 -2, 13 -3, 14 -3, 15 -3, 16 -3, 16 -6, 17 -6, 17 -5, 18 -5, 19 -5, 19 -6, 18 -6, 18 -7, 17 -7, 16 -7, 16 -11, 17 -11, 17 -13, 16 -13, 16 -15, 15 -15, 14 -15, 14 -12, 13 -12, 13 -17, 14 -17, 14 -18, 15 -18, 15 -19, 16 -19, 16 -20, 17 -20, 18 -20, 18 -21, 19 -21, 20 -21, 21 -21, 21 -20, 22 -20), (19 -2, 19 -3, 18 -3, 18 -4, 17 -4, 17 -2, 18 -2, 19 -2), (20 -5, 21 -5, 21 -6, 20 -6, 20 -5), (17 -1, 17 -2, 16 -2, 16 -1, 17 -1)), ((35 -20, 35 -19, 34 -19, 34 -20, 35 -20)))"
 ]
}

 The dataset includes 36945 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018899-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3805
title: FSD3805 Municipal Website Services for Immigrants in Different Languages 2021
DOI: 10.60686/t-fsd3878
title: FSD3878 Festival Barometer 2022
DOI: 10.15468/dl.arvbyv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pimelodella harttii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018902-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qhubc
title: Occurrence Download

description: A dataset containing 11531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trypodendron domesticum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11531 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018901-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn4bxf
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthemum oelandicum alpestre"
 ]
}

 The dataset includes 337 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018903-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqksxe
title: Occurrence Download

description: A dataset containing 61186811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Zosterops erythropleurus, Lonchura oryzivora, Gracula religiosa, Ara ararauna, Melopsittacus undulatus, Platycercus eximius, Nymphicus hollandicus, Cacatua sulphurea, Struthio camelus, Leiothrix lutea, Garrulax davidi, Acridotheres cristatellus, Psittacula derbiana, Acridotheres tristis, Streptopelia decaocto, Pycnonotus jocosus, Psittacula krameri, Corvus splendens, Columba livia, Meleagris gallopavo, Gallus gallus, Anas platyrhynchos, Bubulcus ibis)"
 ]
}

 The dataset includes 61186811 records from 7843 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018741-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5q814w2f
title: MassIVE MSV000089018 - Ethanolic extracts of unlabeled and 13C labeled yeast and mixtures thereof
title: Ethanolic extracts of unlabeled and fully 13C labeled yeast (Pichia pastoris) and mixtures thereof were measured on HILIC and C18 (Dual injection system with HILIC eluting until 15 min and RPC after 15 min).
DOI: 10.6073/pasta/c7f5923cc5b929ccdf0d61f461147b3d
title: Vegetation indices calculated from reflectance spectra collected at LTER plots at Toolik Lake, Alaska during the 2007-2019 growing seasons.

description: Vegetation indices calculated from reflectance spectra collected at Arctic LTER experimental plots at Toolik Lake, Alaska during the 2007-2019 growing seasons. Long term experimental plots span several different vegetation types: Heath (HTH89), Moist Acidic Tussock (MAT89 and Low Fert), Moist Non-Acidic Tussock (MNAT), Non-Acidic Non-Tussock (NANT), Shrub (SHB), and Wet Sedge (WSG). Plots are differentiated by their experimental treatment and are located in replicate blocks.Canopy reflectance is measured by hand-held spectrophotometer and several indices of interest (NDVI, EVI, EVI2, PRI, WBI, and Chlorophyll index) are calculated.
DOI: 10.25345/c5kh0f27m
title: MassIVE MSV000089019 - GNPS - Phenylalanine mix at concentrations 5.10^-8
title: Try to submit datasets of an analysis of phenylalanine mixture which were made by an organic chemist from France. differents type of phenylalanine were in the mix: phenylalanine, dicyclophenylalanine, triphenylalanine, tetraphenylalanine and pentaphenylalanine. all were prepared in the mix by myself
DOI: 10.6073/pasta/e24f9ed96718c7a6d020c1be6ae5853f
title: Late season thaw depth measured in the Arctic Long Term Ecological Research (ARC LTER) moist acidic tussock experimental plots at Toolik Field station, Alaska Arctic 1993 to 2021

description: Late season thaw depth was measured in the Arctic Long Term Ecological Research (ARC LTER) experimental plots (1981 Moist Acidic Tussock, 1989 Moist Acidic Tussock, 2006 Low Fertilization Moist Acidic Tussock, 1989 Moist Non-acidic Tussock, 1989 Moist Non-acidic Non-tussock and 1989 Wet Sedge tundra) at Toolik Lake, Alaska using a steel thaw probe. Note: for 2017-2018 only 1989 Moist Non-Acidic Tussock Tundra and 2006 Low fertilization Moist Acidic Tussock Tundra were measured. For other sites it has become difficult to distinguish rocks from frozen soil with a steel thaw probe.
DOI: 10.6084/m9.figshare.19323395
title: Acer heldreichii chorology

description: Distribution map of <i>Acer heldreichii</i>.<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn").<br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.19323395.v1
title: Acer heldreichii chorology

description: Distribution map of <i>Acer heldreichii</i>.<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn").<br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.25824/redu/xzlh1d
title: README.txt
DOI: 10.25824/redu/p120yw
title: VKEETPVd_Ww00050g.xvg
DOI: 10.25824/redu/wkndkq
title: VKEETPVd_Ww00080g.xvg
DOI: 10.25824/redu/j1l44i
title: VKEETPVd_water.xvg
DOI: 10.25824/redu/7fyuaw
title: npt_Yw00005g.edr
DOI: 10.25824/redu/f7zeqe
title: VKEETPVd_Ww00050o.xvg
DOI: 10.25824/redu/hbudnq
title: VKEETPVd_Aw010c.xvg
DOI: 10.25824/redu/8zu88i
title: VKEETPVd_Aw005c.xvg
DOI: 10.6073/pasta/87bb699469101659867f951b69219c37
title: Hourly weather data from the Arctic LTER Wet Sedge Inlet Experimental plots from 1994 to present, Toolik Field Station, North Slope, Alaska.

description: Hourly weather data from the Arctic Tundra LTER wet sedge experimental site at Toolik Lake. The following parameters are measured every minute and averaged every hour: control plot air temperature and relative humidity at 3 meters and greenhouse plot air temperature and relative humidity at 1 meters (inside the greenhouse).