cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/vhw2qv/sxthok
title: network_69.graphml
DOI: 10.13130/rd_unimi/vhw2qv/6rlxsx
title: network_17.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hgkro2
title: network_91.graphml
DOI: 10.13130/rd_unimi/vhw2qv/j4tqn4
title: network_103.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mwwwvu
title: network_453.graphml
DOI: 10.13130/rd_unimi/vhw2qv/1k8h8e
title: network_59.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pvazyg
title: network_438.graphml
DOI: 10.15468/dl.xyyz8w
title: Occurrence Download

description: A dataset containing 2332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.76878 -2.75584,37.18743 -2.75584,37.18743 0.30983,33.76878 0.30983,33.76878 -2.75584))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo",
 "Year 2015-2025"
 ]
}

 The dataset includes 2332 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041811-251025141854904/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/0rwhva
title: network_389.graphml
DOI: 10.13130/rd_unimi/vhw2qv/a5xfcc
title: network_100.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vewwws
title: network_471.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bomyyx
title: network_279.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ifcvyf
title: network_91.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dl8hjc
title: network_66.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qyjoqh
title: network_69.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kubxij
title: network_439.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pgxudf
title: network_367.graphml
DOI: 10.7910/dvn/ck8mqr
title: Replication Data for: Satisfaction with Democracy after Presidential Power Transitions: Panel Survey Evidence from the 2025 Trump Transition in the United States

description: Replication data for article in Party Politics
DOI: 10.13130/rd_unimi/vhw2qv/tkvpiw
title: network_244.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xswjjg
title: network_40.graphml
DOI: 10.13130/rd_unimi/vhw2qv/1d13g8
title: network_63.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dijk32
title: network_204.graphml
DOI: 10.13130/rd_unimi/vhw2qv/8tbotp
title: network_208.graphml
DOI: 10.13130/rd_unimi/vhw2qv/y2gmkn
title: network_37.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pdsbet
title: network_215.graphml
DOI: 10.13130/rd_unimi/vhw2qv/x4b4qt
title: network_287.graphml
DOI: 10.15468/dl.49hxr2
title: Occurrence Download

description: A dataset containing 65659 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 22.79913, -109.7688 22.79913, -109.7688 22.94913, -109.9188 22.94913, -109.9188 22.79913))"
 ]
}

 The dataset includes 65659 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041766-251025141854904/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/fasvyt
title: network_158.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yupbsp
title: network_144.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mwwbex
title: network_405.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vdxuoz
title: network_97.graphml
DOI: 10.13130/rd_unimi/vhw2qv/esyirj
title: network_502.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vhi19d
title: network_403.graphml
DOI: 10.13130/rd_unimi/vhw2qv/et2zao
title: network_263.graphml
DOI: 10.13130/rd_unimi/vhw2qv/m2lpss
title: network_82.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qiefge
title: network_490.graphml
DOI: 10.13130/rd_unimi/vhw2qv/r2u42t
title: network_127.graphml
DOI: 10.13130/rd_unimi/vhw2qv/t20zo4
title: network_34.graphml
DOI: 10.13130/rd_unimi/vhw2qv/6cxrf9
title: network_225.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gwpm1w
title: network_364.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ogiuze
title: network_35.graphml
DOI: 10.13130/rd_unimi/vhw2qv/adg3j9
title: network_500.graphml
DOI: 10.13130/rd_unimi/vhw2qv/s9wxds
title: network_518.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wommvp
title: network_237.graphml
DOI: 10.13130/rd_unimi/vhw2qv/lqldng
title: network_423.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qy1kz0
title: network_236.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fo5pu4
title: network_113.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ij6kks
title: network_211.graphml
DOI: 10.13130/rd_unimi/vhw2qv/sfqw2j
title: network_470.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zpyrqw
title: network_116.graphml
DOI: 10.13130/rd_unimi/vhw2qv/axr5ow
title: network_111.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mcgsvv
title: network_7.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ajsrjc
title: network_442.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jpmyea
title: network_39.graphml
DOI: 10.13130/rd_unimi/vhw2qv/5fmvhx
title: network_407.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ywte9j
title: network_507.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jutpin
title: network_182.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gqznny
title: network_15.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nu7d3h
title: network_138.graphml
DOI: 10.13130/rd_unimi/vhw2qv/a5ebxt
title: network_269.graphml
DOI: 10.13130/rd_unimi/vhw2qv/svnxcw
title: network_399.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ertzjp
title: network_465.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cuy33g
title: network_539.graphml
DOI: 10.13130/rd_unimi/vhw2qv/h6trko
title: network_511.graphml
DOI: 10.13130/rd_unimi/vhw2qv/f6ayuj
title: network_4.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mfdot0
title: network_38.graphml
DOI: 10.13130/rd_unimi/vhw2qv/spzgcn
title: network_162.graphml
DOI: 10.13130/rd_unimi/vhw2qv/us602r
title: network_425.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uybbu2
title: network_200.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vkj49j
title: network_402.graphml
DOI: 10.13130/rd_unimi/vhw2qv/aootst
title: network_188.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rdpmnl
title: network_170.graphml
DOI: 10.13130/rd_unimi/vhw2qv/d5apgj
title: network_266.graphml
DOI: 10.13130/rd_unimi/vhw2qv/sgqoaz
title: network_24.graphml
DOI: 10.13130/rd_unimi/vhw2qv/c4kyjk
title: network_318.graphml
DOI: 10.13130/rd_unimi/vhw2qv/uthayn
title: network_197.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rwibbq
title: network_218.graphml
DOI: 10.15468/dl.7wcm86
title: Occurrence Download

description: A dataset containing 371 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 6.00706944648216",
 "DecimalLongitude is less than 6.01012899966655",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 371 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041812-251025141854904/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/c2wjvw
title: network_419.graphml
DOI: 10.13130/rd_unimi/vhw2qv/olptdr
title: network_163.graphml
DOI: 10.13130/rd_unimi/vhw2qv/q3m6cw
title: network_483.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gt6wkc
title: network_212.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ivvi12
title: network_194.graphml
DOI: 10.13130/rd_unimi/vhw2qv/il4evk
title: network_360.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jpubtp
title: network_22.graphml
DOI: 10.13130/rd_unimi/vhw2qv/89yg2z
title: network_424.graphml
DOI: 10.13130/rd_unimi/vhw2qv/sifg6n
title: network_8.graphml
DOI: 10.13130/rd_unimi/vhw2qv/763ts3
title: network_431.graphml
DOI: 10.13130/rd_unimi/vhw2qv/epevnd
title: network_433.graphml
DOI: 10.13130/rd_unimi/vhw2qv/6qsmuw
title: network_14.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tffwoo
title: network_119.graphml
DOI: 10.5281/zenodo.15596557
title: Individual Tree Crown Delineation Datasets of Berlin and Osnabrueck

description: This dataset includes manually delineated individal tree crowns of urban trees in Berlin and Osnabrueck. These tree crowns were manually labelled based on official tree register data and are divided into seven different urban environment classes. The Mask R-CNN prediction results based on orthophoto imagery from August 2020 for Berlin and June 2023 for Osnabrueck were also included in the dataset. These, in combination with the ground truth labels, were used for tuning and validating the Mask R-CNN model. Overall, this dataset features aerial imagery in false colour representation, ground truth labels and the predicted tree crown delineations created by our model. This data can be used for further ITCD analysis or advanced urban tree monitoring. 

A publication based on this dataset is available at:https://doi.org/10.1109/JSTARS.2025.3626942

If you use this dataset or the corresponding publication, please cite them as follows:

Dataset:Schütte, O. (2025). Individual Tree Crown Delineation Datasets of Berlin and Osnabrueck [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15596557

Publication:O. Schütte, M. Lucas and B. Waske (2025). Individual Tree Crown Delineation in Heterogenous Urban Environments using High-Resolution Airborne Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 18, pp. 27923-27936, 2025. https://doi.org/10.1109/JSTARS.2025.3626942

 

For more Information please read: README
DOI: 10.5281/zenodo.17286847
title: Delivery of Human iPSC-Derived RPE Cells in Healthy Minipig Retina Results in Interaction Between Photoreceptors and Transplanted Cells
DOI: 10.13130/rd_unimi/vhw2qv/totaxe
title: network_28.graphml
DOI: 10.5281/zenodo.17286848
title: Delivery of Human iPSC-Derived RPE Cells in Healthy Minipig Retina Results in Interaction Between Photoreceptors and Transplanted Cells
DOI: 10.13130/rd_unimi/vhw2qv/4j96zl
title: network_93.graphml
DOI: 10.13130/rd_unimi/vhw2qv/99bq2u
title: network_85.graphml
DOI: 10.17605/osf.io/bjfhs
title: Exploring the Black Atlantic

description: This spreadsheet contains data points used in the the Future Legacies 'Black Atlantic' storymap. The storymap aims to educate readers about the concept of the Black Atlantic through items from different GLAM collections and Digital Humanities projects.
DOI: 10.13130/rd_unimi/vhw2qv/svz6gr
title: network_135.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wnidj9
title: network_258.graphml
DOI: 10.13130/rd_unimi/vhw2qv/aqejbc
title: network_125.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nwtkql
title: network_229.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mamjjt
title: network_329.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xd5rti
title: network_337.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kagkfg
title: network_136.graphml
DOI: 10.13130/rd_unimi/vhw2qv/w0ondw
title: network_202.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fp3sgd
title: network_253.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xokhdx
title: network_196.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bphwue
title: network_192.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wgoxau
title: network_215.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3pokyo
title: network_75.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3ymtdx
title: network_305.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cjvb7l
title: network_76.graphml
DOI: 10.13130/rd_unimi/vhw2qv/suhva8
title: network_190.graphml
DOI: 10.25976/sm6c-fy36
title: Freshwater Quality Monitoring: Bay of Islands and Humber Valley, Newfoundland and Labrador

description: Freshwater monitoring serves an important role in observing any noticeable change in water quality, in any tested body of water. Water quality throughout the Humber Valley watershed is especially important as this watershed covers a large geographic region of western Newfoundland. These bodies of water are all found within close proximity to residential, commercial, and industrial sectors, and are heavily utilized for various recreational purposes, also providing valuable habitat for a variety of species found within this region. This comprehensive water quality database for the Humber Valley and Bay of Islands regions serves as a baseline dataset to provide future assessments of changes in 
water quality. This initiative has been made possible due to the Support from CURA H2O and the Newfoundland and Labrador Department of Municipal Affairs and Environment
description: Monitoring sites were selected throughout the Humber Valley and Bay of Islands regions. The sites were selected based on the following factors: proximity of the freshwater source to industrial activity; proximity of the freshwater source to residential zones; distribution of sites so that most communities situated within the Humber Valley watershed had representation; recreational use; and, special ecological interest. Sites were tested using an YSI Professional Plus (Pro Plus) instrument, fitted with a temperature/conductivity probe, a dissolved oxygen probe, and a pH probe. The YSI meter was calibrated bi-weekly to ensure accuracy. At each site measurements were taken for: water temperature; dissolved oxygen; conductivity; specific conductivity; salinity; total dissolved solids; pH; and air temperature. Precipitation for 72 hours prior to testing was recorded from Environment Canada historic data website.
DOI: 10.13130/rd_unimi/vhw2qv/h7vmdq
title: network_187.graphml
DOI: 10.13130/rd_unimi/vhw2qv/lhatez
title: network_10.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fisyiy
title: network_351.graphml
DOI: 10.13130/rd_unimi/vhw2qv/tjum0j
title: network_316.graphml
DOI: 10.13130/rd_unimi/vhw2qv/aj2vrn
title: network_219.graphml
DOI: 10.13130/rd_unimi/vhw2qv/n9kl9g
title: network_71.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gubuv0
title: network_317.graphml
DOI: 10.13130/rd_unimi/vhw2qv/c1t2jv
title: network_299.graphml
DOI: 10.13130/rd_unimi/vhw2qv/q0dllp
title: network_134.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jh9v3c
title: network_185.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vzgcir
title: network_161.graphml
DOI: 10.13130/rd_unimi/vhw2qv/w4uu0p
title: network_140.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rw1sq9
title: network_260.graphml
DOI: 10.13130/rd_unimi/vhw2qv/s1uoak
title: network_210.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fhwjxr
title: network_176.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ss9xon
title: network_285.graphml
DOI: 10.13130/rd_unimi/vhw2qv/6sjrzm
title: network_152.graphml
DOI: 10.13130/rd_unimi/vhw2qv/smwdbn
title: network_229.graphml
DOI: 10.13130/rd_unimi/vhw2qv/c13nkb
title: network_6.graphml
DOI: 10.13130/rd_unimi/vhw2qv/q6ke25
title: network_530.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pgnjvz
title: network_201.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xb13cm
title: network_475.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2oh8yg
title: network_43.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jlyvi0
title: network_147.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dwf87i
title: network_38.graphml
DOI: 10.13130/rd_unimi/vhw2qv/he2tsd
title: network_271.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2b0i01
title: network_298.graphml
DOI: 10.13130/rd_unimi/vhw2qv/3zwkyw
title: network_520.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ircpen
title: network_121.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kqlo9h
title: network_526.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vfqijk
title: network_277.graphml
DOI: 10.13130/rd_unimi/vhw2qv/d3z6ic
title: network_347.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yalnsn
title: network_170.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ffu9tb
title: network_276.graphml
DOI: 10.13130/rd_unimi/vhw2qv/skzdrx
title: network_8.graphml
DOI: 10.13130/rd_unimi/vhw2qv/8qe2y3
title: network_355.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ycq9tk
title: network_30.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ew6kr2
title: network_334.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wmjeps
title: network_232.graphml
DOI: 10.13130/rd_unimi/vhw2qv/oik1ld
title: table_3.tab
DOI: 10.13130/rd_unimi/vhw2qv/ppjd9k
title: network_293.graphml
DOI: 10.13130/rd_unimi/vhw2qv/cp6s7a
title: network_226.graphml
DOI: 10.13130/rd_unimi/vhw2qv/d9rbyd
title: network_323.graphml
DOI: 10.13130/rd_unimi/vhw2qv/iojsni
title: network_236.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yxhfbv
title: network_217.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fldire
title: network_57.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kahq61
title: network_54.graphml
DOI: 10.13130/rd_unimi/vhw2qv/b6jxrz
title: network_146.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qy4lpy
title: network_333.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pptydl
title: network_62.graphml
DOI: 10.13130/rd_unimi/vhw2qv/e8hwrc
title: network_313.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vikwow
title: network_265.graphml
DOI: 10.13130/rd_unimi/vhw2qv/erl2fv
title: network_359.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qilxgn
title: network_12.graphml
DOI: 10.13130/rd_unimi/vhw2qv/e5wdpo
title: network_19.graphml
DOI: 10.13130/rd_unimi/vhw2qv/un9rbi
title: network_168.graphml
DOI: 10.13130/rd_unimi/vhw2qv/hegf4p
title: network_480.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jxxy6l
title: network_103.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4sr565
title: network_377.graphml
DOI: 10.13130/rd_unimi/vhw2qv/eioyyg
title: network_436.graphml
DOI: 10.15468/dl.vsxcaw
title: Occurrence Download

description: A dataset containing 16304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthemum syriacum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16304 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041813-251025141854904/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/4nnlbf
title: network_179.graphml
DOI: 10.13130/rd_unimi/vhw2qv/axhyfg
title: network_262.graphml
DOI: 10.13130/rd_unimi/vhw2qv/am0q1c
title: network_159.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jfz5fp
title: network_309.graphml
DOI: 10.13130/rd_unimi/vhw2qv/60t9xe
title: network_31.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gx7tpd
title: network_105.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kzadsb
title: network_166.graphml
DOI: 10.13130/rd_unimi/vhw2qv/0mhoqm
title: network_528.graphml
DOI: 10.13130/rd_unimi/vhw2qv/q7dklu
title: network_255.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nddogs
title: network_173.graphml
DOI: 10.13130/rd_unimi/vhw2qv/syslzs
title: network_241.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kb6x0g
title: network_18.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rryorb
title: network_225.graphml
DOI: 10.13130/rd_unimi/vhw2qv/fqliif
title: network_283.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qm4kzb
title: network_208.graphml
DOI: 10.13130/rd_unimi/vhw2qv/2ntdu6
title: network_394.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dneieb
title: network_252.graphml
DOI: 10.13130/rd_unimi/vhw2qv/geszwq
title: network_248.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gog2gq
title: network_245.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bozn0k
title: network_49.graphml
DOI: 10.13130/rd_unimi/vhw2qv/krfta2
title: network_92.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mfvibk
title: network_158.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qk8ik6
title: network_63.graphml
DOI: 10.13130/rd_unimi/vhw2qv/7lkib6
title: network_286.graphml
DOI: 10.13130/rd_unimi/vhw2qv/mj2dmo
title: network_268.graphml
DOI: 10.13130/rd_unimi/vhw2qv/peduwg
title: network_254.graphml
DOI: 10.13130/rd_unimi/vhw2qv/erqmgk
title: network_169.graphml
DOI: 10.13130/rd_unimi/vhw2qv/iyutdw
title: network_354.graphml
DOI: 10.13130/rd_unimi/vhw2qv/vgppk6
title: network_84.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jqpjn7
title: network_118.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pl6o2w
title: network_341.graphml
DOI: 10.13130/rd_unimi/vhw2qv/sb7aui
title: network_294.graphml
DOI: 10.6084/m9.figshare.30647429
title: Scalable Mobile Phone Data Preprocessing and Clustering

description: This project implements a multi-step data preprocessing pipeline using Python and Scala, designed to process large-scale geographic and user behavior data stored in CSV format. It involves three key steps: grid mapping, data filtering, and behavior classification, with each step optimized for distributed computing using Apache Spark.
DOI: 10.6084/m9.figshare.30647429.v1
title: Scalable Mobile Phone Data Preprocessing and Clustering

description: This project implements a multi-step data preprocessing pipeline using Python and Scala, designed to process large-scale geographic and user behavior data stored in CSV format. It involves three key steps: grid mapping, data filtering, and behavior classification, with each step optimized for distributed computing using Apache Spark.
DOI: 10.13130/rd_unimi/vhw2qv/cihosk
title: network_207.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zd06fs
title: table_5.tab
DOI: 10.13130/rd_unimi/vhw2qv/4jdxzw
title: network_20.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ezuxi8
title: network_142.graphml
DOI: 10.13130/rd_unimi/vhw2qv/7grnnr
title: network_141.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ihm2of
title: network_155.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ouivkh
title: network_504.graphml
DOI: 10.13130/rd_unimi/vhw2qv/pj1qt0
title: network_506.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4kgtfy
title: network_101.graphml
DOI: 10.13130/rd_unimi/vhw2qv/r4x7lp
title: network_90.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bgrbsi
title: network_150.graphml
DOI: 10.13130/rd_unimi/vhw2qv/qgfvn3
title: network_167.graphml
DOI: 10.13130/rd_unimi/vhw2qv/bpbfb1
title: network_22.graphml
DOI: 10.13130/rd_unimi/vhw2qv/keofqy
title: network_2.graphml
DOI: 10.13130/rd_unimi/vhw2qv/b9q0zd
title: network_115.graphml
DOI: 10.13130/rd_unimi/vhw2qv/u9btyt
title: network_86.graphml
DOI: 10.13130/rd_unimi/vhw2qv/adun00
title: network_327.graphml
DOI: 10.13130/rd_unimi/vhw2qv/dyqbyv
title: network_390.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jyij59
title: network_365.graphml
DOI: 10.13130/rd_unimi/vhw2qv/xqh7t3
title: network_251.graphml
DOI: 10.13130/rd_unimi/vhw2qv/or2ua7
title: network_193.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ybwsxh
title: network_61.graphml
DOI: 10.13130/rd_unimi/vhw2qv/njpx0d
title: network_49.graphml
DOI: 10.13130/rd_unimi/vhw2qv/zevpgs
title: network_413.graphml
DOI: 10.13130/rd_unimi/vhw2qv/a6gdqb
title: network_13.graphml
DOI: 10.13130/rd_unimi/vhw2qv/wgj4mv
title: network_41.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ib6ain
title: network_533.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rfoa5r
title: network_231.graphml
DOI: 10.13130/rd_unimi/vhw2qv/rqnwom
title: network_281.graphml
DOI: 10.13130/rd_unimi/vhw2qv/sooqjt
title: network_146.graphml
DOI: 10.13130/rd_unimi/vhw2qv/znsrzw
title: network_451.graphml
DOI: 10.13130/rd_unimi/vhw2qv/euisdl
title: network_59.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ybfsai
title: network_515.graphml
DOI: 10.13130/rd_unimi/vhw2qv/nkpz2f
title: network_62.graphml
DOI: 10.13130/rd_unimi/vhw2qv/thrs3x
title: network_326.graphml
DOI: 10.13130/rd_unimi/vhw2qv/h6wl24
title: network_216.graphml
DOI: 10.13130/rd_unimi/vhw2qv/s4xlxb
title: network_391.graphml
DOI: 10.13130/rd_unimi/vhw2qv/12ltud
title: network_418.graphml
DOI: 10.13130/rd_unimi/vhw2qv/4m73qc
title: network_348.graphml
DOI: 10.13130/rd_unimi/vhw2qv/jvd3j8
title: network_421.graphml
DOI: 10.13130/rd_unimi/vhw2qv/gcreo0
title: network_297.graphml
DOI: 10.13130/rd_unimi/vhw2qv/iiogfq
title: network_277.graphml
DOI: 10.13130/rd_unimi/vhw2qv/kqmftw
title: network_213.graphml
DOI: 10.13130/rd_unimi/vhw2qv/ixz9zg
title: network_52.graphml
DOI: 10.13130/rd_unimi/vhw2qv/yzwkvp
title: network_181.graphml
DOI: 10.13130/rd_unimi/yj5sjg
title: Replication Data for RT-PCR for "Magnesium homeostasis in myogenic differentiation - A focus on the regulation of TRPM7, MagT1 and SLC41A1 transporters"

description: Replication Data for: RT-PCR
DOI: 10.13130/rd_unimi/ahff7u
title: Replication Data for Western blots for "Magnesium Homeostasis in Myogenic Differentiation-A Focus on the Regulation of TRPM7, MagT1 and SLC41A1 Transporters"

description: Replication Data for: western blots
DOI: 10.13130/rd_unimi/sxtvsn
title: Replication Data for Mg quantification for "Magnesium Homeostasis in Myogenic Differentiation-A Focus on the Regulation of TRPM7, MagT1 and SLC41A1 Transporters"

description: Replication Data for: Mg quantification