cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/ii2xqz
title: Replication Data for Triglyceride assay for "Vitamin D Prevents High Glucose-Induced Lipid Droplets Accumulation in Cultured Endothelial Cells: The Role of Thioredoxin Interacting Protein"

description: Replication Data for: triglyceride assay
DOI: 10.13130/rd_unimi/zhiyqc
title: Replication Data for Western blots for "Vitamin D Prevents High Glucose-Induced Lipid Droplets Accumulation in Cultured Endothelial Cells: The Role of Thioredoxin Interacting Protein"

description: Replication Data for: western blots
DOI: 10.15468/dl.5rp9qp
title: Occurrence Download

description: A dataset containing 30114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, Europe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (November, October, December, August, September, July, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Equus caballus",
 "Year 2020-2025"
 ]
}

 The dataset includes 30114 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041800-251025141854904/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/wjj9vt
title: Replication Data for Ros for "Vitamin D Prevents High Glucose-Induced Lipid Droplets Accumulation in Cultured Endothelial Cells: The Role of Thioredoxin Interacting Protein"

description: Replication Data for: ros
DOI: 10.13130/rd_unimi/0crs4w
title: Replication Data for Oil red o for "Vitamin D Prevents High Glucose-Induced Lipid Droplets Accumulation in Cultured Endothelial Cells: The Role of Thioredoxin Interacting Protein"

description: Replication Data for: oil red o
DOI: 10.13130/rd_unimi/ubhfb9
title: Replication Data for MTT for "Vitamin D Prevents High Glucose-Induced Lipid Droplets Accumulation in Cultured Endothelial Cells: The Role of Thioredoxin Interacting Protein"

description: Replication Data for: MTT
DOI: 10.13130/rd_unimi/jrzmyd
title: Replication Data for Densitometric analysis western blot for "Vitamin D Prevents High Glucose-Induced Lipid Droplets Accumulation in Cultured Endothelial Cells: The Role of Thioredoxin Interacting Protein"

description: Replication Data for: densitometric analysis western blot
DOI: 10.13130/rd_unimi/vhw2qv
title: Replication data for "Exact Algorithms for Maximum Lifetime Data-Gathering Tree in Wireless Sensor Networks"

description: Dataset of instances used in the paper "Exact algorithms for Maximum Lifetime Data Gathering Tree in Wireless Sensors Networks".

The repository contains two folders (CCD and ZTD) corresponding to the instances used in the paper. Their full description is given in two README files, one in each folder.

The repository includes an additional folder (results) containing tables with our computational results in full.
DOI: 10.13130/rd_unimi/vhw2qv/0hzjeq
title: network_109.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tgrnmo
title: network_195.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xeqapw
title: network_376.graphml
DOI: 10.13130/rd_unimi/vhw2qv/acl4we
title: network_330.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hoz5d6
title: network_1.graphml
DOI: 10.13130/rd_unimi/vhw2qv/y0koow
title: network_250.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bfgqv3
title: network_163.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zoka5y
title: network_131.graphml
DOI: 10.13130/rd_unimi/vhw2qv/voin3m
title: network_411.graphml
DOI: 10.13130/rd_unimi/vhw2qv/7ptfd4
title: network_314.graphml
DOI: 10.13130/rd_unimi/vhw2qv/r5pjiu
title: network_291.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fq49se
title: network_113.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nixsov
title: network_109.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kd6cba
title: network_37.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qq0azh
title: network_398.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ebzma3
title: network_204.graphml
DOI: 10.13130/rd_unimi/vhw2qv/oenr1g
title: network_112.graphml
DOI: 10.13130/rd_unimi/vhw2qv/57ccuq
title: network_315.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zcbyrn
title: network_122.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fz0z3w
title: network_207.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xrcm2s
title: network_382.graphml
DOI: 10.13130/rd_unimi/vhw2qv/6axsxq
title: network_118.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jvrczi
title: network_290.graphml
DOI: 10.13130/rd_unimi/vhw2qv/huzcic
title: network_33.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uojmft
title: network_288.graphml
DOI: 10.13130/rd_unimi/vhw2qv/shj2ha
title: network_509.graphml
DOI: 10.13130/rd_unimi/vhw2qv/t12g6r
title: network_459.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ixp8he
title: network_141.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rv9qln
title: network_108.graphml
DOI: 10.13130/rd_unimi/vhw2qv/brezkc
title: network_223.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tegkqf
title: network_538.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3f8b06
title: network_269.graphml
DOI: 10.13130/rd_unimi/vhw2qv/y4qcrd
title: network_493.graphml
DOI: 10.13130/rd_unimi/vhw2qv/477vqy
title: network_171.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4crkpw
title: network_388.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bbtbkt
title: network_300.graphml
DOI: 10.13130/rd_unimi/vhw2qv/igs1wx
title: network_346.graphml
DOI: 10.13130/rd_unimi/vhw2qv/d6lidp
title: README.pdf
DOI: 10.13130/rd_unimi/vhw2qv/nmi6xw
title: network_121.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kmurqe
title: network_28.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mhspir
title: network_463.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qfpyyw
title: network_115.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qlufzt
title: network_272.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cyat91
title: network_174.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hbsv8b
title: network_16.graphml
DOI: 10.13130/rd_unimi/vhw2qv/8wxsmm
title: network_321.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nzcqhu
title: network_73.graphml
DOI: 10.13130/rd_unimi/vhw2qv/1znypl
title: network_324.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cdli9z
title: network_205.graphml
DOI: 10.13130/rd_unimi/vhw2qv/acrz4o
title: network_292.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gkhtin
title: network_529.graphml
DOI: 10.13130/rd_unimi/vhw2qv/srvay1
title: network_481.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2ptpni
title: network_99.graphml
DOI: 10.13130/rd_unimi/vhw2qv/amnq4v
title: network_395.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vn2rgq
title: network_258.graphml
DOI: 10.13130/rd_unimi/vhw2qv/9x5qjz
title: network_523.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cvvsci
title: network_479.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pgpdxp
title: network_243.graphml
DOI: 10.13130/rd_unimi/vhw2qv/1lkjxt
title: network_393.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nbkghc
title: network_466.graphml
DOI: 10.13130/rd_unimi/vhw2qv/trtlbk
title: network_230.graphml
DOI: 10.13130/rd_unimi/vhw2qv/x65guo
title: network_397.graphml
DOI: 10.13130/rd_unimi/vhw2qv/8terme
title: network_132.graphml
DOI: 10.13130/rd_unimi/vhw2qv/c7zcff
title: network_218.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4vvod8
title: network_294.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ylrqor
title: network_474.graphml
DOI: 10.13130/rd_unimi/vhw2qv/eqrdqm
title: network_477.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wv04wp
title: network_203.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jzcuno
title: network_349.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wnuvfj
title: network_25.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bbzd0x
title: network_99.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wn88g2
title: network_68.graphml
DOI: 10.13130/rd_unimi/vhw2qv/j3nj9d
title: network_41.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ro7lav
title: network_457.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2q0kcl
title: network_244.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wkhf4v
title: network_267.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cwjllu
title: network_240.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jvypxs
title: network_448.graphml
DOI: 10.13130/rd_unimi/vhw2qv/n5uyii
title: network_406.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wqwap9
title: network_392.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fpavqn
title: network_293.graphml
DOI: 10.13130/rd_unimi/vhw2qv/k3v7ni
title: network_157.graphml
DOI: 10.13130/rd_unimi/vhw2qv/end3qt
title: network_133.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4ae0db
title: network_224.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tbrra9
title: README.md
DOI: 10.13130/rd_unimi/vhw2qv/fdytvg
title: network_291.graphml
DOI: 10.13130/rd_unimi/vhw2qv/h9fayd
title: network_532.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tlpoxh
title: network_0.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uxigsh
title: network_287.graphml
DOI: 10.13130/rd_unimi/vhw2qv/322pka
title: network_95.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xoz8tp
title: network_228.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cciz4p
title: network_410.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ptkxti
title: README.pdf
DOI: 10.13130/rd_unimi/vhw2qv/uzfa34
title: network_282.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vr632v
title: network_56.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hsosqf
title: network_212.graphml
DOI: 10.13130/rd_unimi/vhw2qv/t4juvw
title: network_224.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bwvh8a
title: table_2.tab
DOI: 10.13130/rd_unimi/vhw2qv/lrqhfx
title: network_251.graphml
DOI: 10.13130/rd_unimi/vhw2qv/q2lhpe
title: network_512.graphml
DOI: 10.13130/rd_unimi/vhw2qv/swox7w
title: network_322.graphml
DOI: 10.13130/rd_unimi/vhw2qv/i67n8m
title: network_122.graphml
DOI: 10.13130/rd_unimi/vhw2qv/muvaw0
title: network_508.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pu1ym7
title: network_525.graphml
DOI: 10.13130/rd_unimi/vhw2qv/5hosw5
title: network_60.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uqklvk
title: network_516.graphml
DOI: 10.13130/rd_unimi/vhw2qv/6nifqx
title: network_216.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wr4428
title: network_353.graphml
DOI: 10.13130/rd_unimi/vhw2qv/akz4jl
title: network_180.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vk6a9j
title: network_193.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hgtkpj
title: network_335.graphml
DOI: 10.13130/rd_unimi/vhw2qv/l3jsor
title: network_164.graphml
DOI: 10.13130/rd_unimi/vhw2qv/5fuoiu
title: network_23.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rjw7p1
title: network_143.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cz6mvq
title: network_350.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hw2a0l
title: network_404.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tg7cgy
title: network_83.graphml
DOI: 10.3334/cdiac/otg.goship_p21_325020131025
title: Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from THOMAS G. THOMPSON in the South Pacific Ocean from 2013-10-25 to 2013-12-20 (NCEI Accession 0163186)

description: This dataset includes chemical, discrete sample, physical and profile data collected from THOMAS G. THOMPSON in the South Pacific Ocean from 2013-10-25 to 2013-12-20. These data include CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), DELTA CARBON-14, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, NITRITE, SALINITY, Sulfur Hexafluoride (SF6), WATER TEMPERATURE, phosphate and silicate. The instruments used to collect these data include CTD and bottle.

These data were collected by Nicholas Bates of Bermuda Institute of Ocean Sciences (BIOS), James H. Swift of Scripps Institution of Oceanography (SIO), Craig A. Carlson of University of California - Santa Barbara (UCSB), and James Moffett of University of Southern California (USC) as part of the GO_SHIP_P21_325020131025 dataset. CDIAC associated the following cruise ID(s) with this dataset: TGT303 and U.S. GEOTRACES East Pacific Zonal Transect (EPZT)
DOI: 10.13130/rd_unimi/vhw2qv/jvinye
title: network_96.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mtbof9
title: network_422.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qnauiw
title: network_48.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vyhaxp
title: network_373.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3f5h4i
title: network_81.graphml
DOI: 10.13130/rd_unimi/vhw2qv/plqbou
title: network_27.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nygfbw
title: network_13.graphml
DOI: 10.13130/rd_unimi/vhw2qv/w06cft
title: network_400.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ykwtwe
title: network_128.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xovqxi
title: network_183.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zdwy2j
title: network_278.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hydvk0
title: network_51.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ktvs5r
title: network_90.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2vlsdc
title: network_311.graphml
DOI: 10.13130/rd_unimi/vhw2qv/b7rwsn
title: network_201.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fe2goq
title: network_396.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rukx1j
title: network_178.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4oiff1
title: network_70.graphml
DOI: 10.13130/rd_unimi/vhw2qv/diik8i
title: network_130.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2qohxc
title: network_241.graphml
DOI: 10.13130/rd_unimi/vhw2qv/97fw6a
title: network_205.graphml
DOI: 10.13130/rd_unimi/vhw2qv/9muvdq
title: network_56.graphml
DOI: 10.13130/rd_unimi/vhw2qv/j2gilo
title: network_159.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jpdzne
title: network_119.graphml
DOI: 10.13130/rd_unimi/vhw2qv/spcadc
title: network_253.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kmuzoo
title: network_102.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ptynq5
title: network_379.graphml
DOI: 10.13130/rd_unimi/vhw2qv/biijut
title: network_143.graphml
DOI: 10.13130/rd_unimi/vhw2qv/w9bwec
title: network_10.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cwxyjh
title: network_114.graphml
DOI: 10.13130/rd_unimi/vhw2qv/sjty7w
title: network_202.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pe8rp1
title: network_142.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xuptgr
title: network_89.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4ycjd2
title: network_304.graphml
DOI: 10.13130/rd_unimi/vhw2qv/t3pure
title: network_455.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4cgheu
title: network_165.graphml
DOI: 10.13130/rd_unimi/vhw2qv/epwuuj
title: network_242.graphml
DOI: 10.13130/rd_unimi/vhw2qv/h9hgrt
title: network_3.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kgpmcr
title: network_378.graphml
DOI: 10.13130/rd_unimi/vhw2qv/p5xrab
title: network_50.graphml
DOI: 10.13130/rd_unimi/vhw2qv/5a185p
title: network_468.graphml
DOI: 10.13130/rd_unimi/vhw2qv/go0uec
title: network_9.graphml
DOI: 10.13130/rd_unimi/vhw2qv/iocomx
title: network_98.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3vskik
title: network_107.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fawneb
title: network_60.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rczdfb
title: network_273.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dwuusf
title: network_256.graphml
DOI: 10.13130/rd_unimi/vhw2qv/enz5tn
title: network_375.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fcus48
title: network_297.graphml
DOI: 10.13130/rd_unimi/vhw2qv/npvjys
title: network_77.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ozt1os
title: network_513.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vk2fa1
title: network_352.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dzngvk
title: network_271.graphml
DOI: 10.13130/rd_unimi/vhw2qv/47eyxb
title: network_55.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gvwxnx
title: network_177.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kvcmhb
title: network_524.graphml
DOI: 10.13130/rd_unimi/vhw2qv/1kpepo
title: network_19.graphml
DOI: 10.13130/rd_unimi/vhw2qv/u8nflh
title: network_129.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ebiyi0
title: network_200.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nt3dql
title: network_487.graphml
DOI: 10.15468/dl.zn2mqe
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.00095034011337",
 "DecimalLongitude is less than 6.00400989329777",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 321 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041803-251025141854904/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/vhw2qv/3y0hcp
title: network_535.graphml
DOI: 10.13130/rd_unimi/vhw2qv/91ms1g
title: network_71.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cdkf5n
title: network_180.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jtj97y
title: network_86.graphml
DOI: 10.13130/rd_unimi/vhw2qv/updhpl
title: network_17.graphml
DOI: 10.15468/dl.4ua3cd
title: Occurrence Download

description: A dataset containing 7153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is TRUE",
 "TaxonKey is one of (Aegiceras corniculatum, Aegiceras floridum, Avicennia alba, Avicennia lanata, Avicennia marina, Avicennia officinalis, Bruguiera cylindrica, Bruguiera gymnorhiza, Bruguiera parviflora, Bruguiera sexangula, Ceriops decandra, Ceriops tagal, Dolichandrone spathacea, Excoecaria agallocha, Heritiera littoralis, Kandelia candel, Lumnitzera littorea, Lumnitzera racemosa, Nypa fruticans, Osbornia octodonta, Phoenix paludosa, Pemphis acidula, Rhizophora apiculata, Rhizophora lamarckii, Rhizophora mucronata, Rhizophora stylosa, Scyphiphora hydrophylacea, Sonneratia alba, Sonneratia caseolaris, Sonneratia ovata, Xylocarpus granatum, Xylocarpus moluccensis, Xylocarpus rumphii)"
 ]
}

 The dataset includes 7153 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041804-251025141854904/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/vhw2qv/8b0le9
title: network_220.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ohdg4s
title: network_145.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gzlrkq
title: network_106.graphml
DOI: 10.13130/rd_unimi/vhw2qv/l8tbd6
title: network_106.graphml
DOI: 10.13130/rd_unimi/vhw2qv/8e3qd2
title: network_157.graphml
DOI: 10.13130/rd_unimi/vhw2qv/lwdj4i
title: network_88.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zy96ev
title: network_95.graphml
DOI: 10.13130/rd_unimi/vhw2qv/h4ev9h
title: network_36.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yl4nbo
title: network_342.graphml
DOI: 10.13130/rd_unimi/vhw2qv/lplhwv
title: network_214.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ptnmra
title: network_84.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qrnlxf
title: network_199.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uvpgoz
title: network_380.graphml
DOI: 10.13130/rd_unimi/vhw2qv/e0gbap
title: network_387.graphml
DOI: 10.13130/rd_unimi/vhw2qv/surfdg
title: network_456.graphml
DOI: 10.13130/rd_unimi/vhw2qv/9bsuir
title: network_167.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uvaiba
title: network_454.graphml
DOI: 10.13130/rd_unimi/vhw2qv/f9lwei
title: network_44.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pfy4vc
title: network_501.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xxa1bm
title: network_161.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pfjmew
title: network_247.graphml
DOI: 10.13130/rd_unimi/vhw2qv/b7dnxa
title: network_230.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vled5v
title: network_114.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gb7ab3
title: network_357.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jgll8a
title: network_145.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bpnqha
title: network_21.graphml
DOI: 10.13130/rd_unimi/vhw2qv/u9kqq6
title: network_239.graphml
DOI: 10.13130/rd_unimi/vhw2qv/az8e1v
title: network_274.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zitjlv
title: network_270.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3xnouz
title: network_222.graphml
DOI: 10.13130/rd_unimi/vhw2qv/apn14j
title: network_120.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qyddxm
title: network_427.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uovaht
title: network_78.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dvalns
title: network_372.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kzbilx
title: network_36.graphml
DOI: 10.13130/rd_unimi/vhw2qv/11ltxc
title: network_53.graphml
DOI: 10.13130/rd_unimi/vhw2qv/e1mrby
title: network_476.graphml
DOI: 10.13130/rd_unimi/vhw2qv/74j5ke
title: network_217.graphml
DOI: 10.13130/rd_unimi/vhw2qv/t5rxto
title: network_307.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nwjozc
title: network_177.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tzx0nh
title: network_65.graphml
DOI: 10.13130/rd_unimi/vhw2qv/15r0js
title: network_462.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rewzah
title: network_45.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hihrck
title: network_492.graphml
DOI: 10.13130/rd_unimi/vhw2qv/lwhxia
title: network_366.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gdwnro
title: network_104.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tz8jkb
title: network_81.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yue2hh
title: network_160.graphml
DOI: 10.13130/rd_unimi/vhw2qv/z8od84
title: network_246.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ef1d8k
title: network_127.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uqgsuh
title: network_246.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jcek6r
title: network_175.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yox9pu
title: network_460.graphml
DOI: 10.15468/dl.cvxgbq
title: Occurrence Download

description: A dataset containing 199242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.45657 49.17924,9.59162 49.17924,9.59162 62.38386,-7.45657 62.38386,-1.03164 52.07009,-7.45657 49.17924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoena phocoena",
 "Year 2015-2025"
 ]
}

 The dataset includes 199242 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041758-251025141854904/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/vhw2qv/lqhxp7
title: network_199.graphml
DOI: 10.15468/dl.t92tgv
title: Occurrence Download

description: A dataset containing 136822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinaceae, Cupressaceae, Taxaceae, Podocarpaceae, Fagaceae, Betulaceae, Juglandaceae, Prunus, Malus, Crataegus, Sorbus, Amelanchier, Ulmaceae, Moraceae, Rhamnaceae, Sapindaceae, Simaroubaceae, Anacardiaceae, Malvaceae, Magnoliaceae, Lauraceae, Salicaceae, Platanaceae, Oleaceae, Bignoniaceae, Cornaceae, Hamamelidaceae, Oxydendrum, Arbutus, Robinia, Cercis, Gleditsia, Gymnocladus, Cladrastis, Albizia, Rutaceae, Aquifoliaceae, Nyssaceae, Araliaceae, Caprifoliaceae, Tamaricaceae, Elaeagnaceae)",
 {
 "or" : [
 "Geometry POLYGON ((-76.17135640447665 40.35286871523094, -76.22672988716731 40.313599832467574, -76.04629724457928 40.309858119722584, -76.17135640447665 40.35286871523094))",
 "Geometry POLYGON ((-74.45407786798299 42.26024283266168, -74.89074894898096 41.970609780642214, -74.46890513968799 41.811369698690974, -74.45407786798299 42.26024283266168))",
 "Geometry POLYGON ((-75.9746673542408 43.467808635614304, -75.21558226821641 43.34630171247994, -75.58721211263592 43.83493406791213, -75.9746673542408 43.467808635614304))",
 "Geometry POLYGON ((-73.58437740412117 44.84466762092835, -75.10729494762671 44.435779534608194, -75.30586985167054 43.53825649057078, -73.45009439846783 43.45670092752494, -73.58437740412117 44.84466762092835))",
 "Geometry POLYGON ((-69.06152727216397 47.433254545578635, -72.94513081642594 44.98327114573193, -73.66568983189458 41.60877209735778, -75.91471816439017 40.337249177853565, -74.59346692308345 40.707931268373734, -72.88318984366568 41.83701013963905, -72.53975034758793 42.97623934531988, -71.86727923101668 42.280644131318105, -68.64769424299283 45.83222309221333, -69.06152727216397 47.433254545578635))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Year is greater than or equal to 1980",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 136822 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041788-251025141854904/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/vhw2qv/m9m6cf
title: network_265.graphml