cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48668/mu3mfc/obpmsi
title: USSR_1959_ZS_1959-06_page_50_347_346_345.png

description: :unav
DOI: 10.48668/mu3mfc/obrlrd
title: USSR_1959_ZS_1959-05_page_43_28_27_26.png

description: :unav
DOI: 10.48668/mu3mfc/xs2ykp
title: USSR_1959_ZS_1959-03_page_1_593_592_591.png

description: :unav
DOI: 10.48668/mu3mfc/emvl3n
title: USSR_1959_ZS_1959-06_page_18_395_394_393.png

description: :unav
DOI: 10.48668/mu3mfc/idcfd2
title: USSR_1959_ZS_1959-02_page_4_669_668_667.png

description: :unav
DOI: 10.48668/mu3mfc/tlg8ec
title: USSR_1959_ZS_1959-06_page_30_386_385_384.png

description: :unav
DOI: 10.48668/mu3mfc/1tcxxv
title: USSR_1959_ZS_1959-06_page_32_370_369_368.png

description: :unav
DOI: 10.48668/mu3mfc/3d9lof
title: USSR_1959_ZS_1959-01_page_38_98_97_96.png

description: :unav
DOI: 10.48668/mu3mfc/fg3eg8
title: USSR_1959_ZS_1959-06_page_31_362_361_360.png

description: :unav
DOI: 10.48668/mu3mfc/rmrpzp
title: USSR_1959_ZS_1959-07_page_18_304_303_302.png

description: :unav
DOI: 10.48668/mu3mfc/74teqe
title: USSR_1959_ZS_1959-06_page_6_329_328_327.png

description: :unav
DOI: 10.48668/mu3mfc/ihikzl
title: USSR_1959_ZS_1959-05_page_15_469_468_467.png

description: :unav
DOI: 10.48668/mu3mfc/qkewxz
title: USSR_1959_ZS_1959-07_page_24_292_291_290.png

description: :unav
DOI: 10.48668/mu3mfc/b8sz3k
title: USSR_1959_ZS_1959-01_page_31_774_773_772.png

description: :unav
DOI: 10.48668/mu3mfc/ndbcgd
title: USSR_1959_ZS_1959-05_page_3_430_429_428.png

description: :unav
DOI: 10.48668/mu3mfc/6lzpia
title: USSR_1959_ZS_1959-07_page_14_311_310_309.png

description: :unav
DOI: 10.48668/mu3mfc/ngeumj
title: USSR_1959_ZS_1959-01_page_33_782_781_780.png

description: :unav
DOI: 10.48668/mu3mfc/qiyecl
title: USSR_1959_ZS_1959-09_page_21_968_967_966.png

description: :unav
DOI: 10.48668/mu3mfc/hfckpn
title: USSR_1959_ZS_1959-08_page_10_1045_1044_1057.png

description: :unav
DOI: 10.48668/mu3mfc/299cz3
title: USSR_1959_ZS_1959-07_page_11_327_326_325.png

description: :unav
DOI: 10.48668/mu3mfc/nlrbxd
title: USSR_1959_ZS_1959-05_page_4_425_424_423.png

description: :unav
DOI: 10.48668/mu3mfc/s5yh9h
title: USSR_1959_ZS_1959-07_page_37_288_287_286.png

description: :unav
DOI: 10.48668/mu3mfc/ixoq2i
title: USSR_1959_ZS_1959-09_page_17_988_987_986.png

description: :unav
DOI: 10.48668/mu3mfc/czpddr
title: USSR_1959_ZS_1959-04_page_8_476_475_474.png

description: :unav
DOI: 10.48668/mu3mfc/ixob5h
title: USSR_1959_ZS_1959-09_page_16_975_974_973.png

description: :unav
DOI: 10.48668/mu3mfc/zcyo8p
title: USSR_1959_ZS_1959-07_page_29_276_275_274.png

description: :unav
DOI: 10.48668/mu3mfc/vr2ouq
title: USSR_1959_ZS_1959-05_page_46_424_423_422.png

description: :unav
DOI: 10.48668/mu3mfc/czxtaa
title: USSR_1959_ZS_1959-01_page_12_799_798_797.png

description: :unav
DOI: 10.48668/mu3mfc/r23m5r
title: USSR_1959_ZS_1959-07_page_14_323_322_321.png

description: :unav
DOI: 10.48668/mu3mfc/cs3ie2
title: USSR_1959_ZS_1959-06_page_6_331_330_329.png

description: :unav
DOI: 10.48668/mu3mfc/b478jj
title: USSR_1959_ZS_1959-03_page_15_582_581_580.png

description: :unav
DOI: 10.48668/mu3mfc/ape86j
title: USSR_1959_ZS_1959-03_page_4_537_536_535.png

description: :unav
DOI: 10.5281/zenodo.18515706
title: SeqIF Establishment Cohort, Image 5, Part 2

description: Tiles are pre-stacked and in "ome.tiff"-format.

Tile names are constructed as follows: "<ID>_<X_COORD>_<Y_COORD>.ome,tiff".

X and Y coordinates correspond to the upper-left corner of each tile. 

Channel names and order can be found in "Img<ID>_channels.pkl"
DOI: 10.5281/zenodo.18515707
title: SeqIF Establishment Cohort, Image 5, Part 2

description: Tiles are pre-stacked and in "ome.tiff"-format.

Tile names are constructed as follows: "<ID>_<X_COORD>_<Y_COORD>.ome,tiff".

X and Y coordinates correspond to the upper-left corner of each tile. 

Channel names and order can be found in "Img<ID>_channels.pkl"
DOI: 10.48668/mu3mfc/6ukiqi
title: USSR_1959_ZS_1959-09_page_3_928_927_926.png

description: :unav
DOI: 10.48668/mu3mfc/rzkmzu
title: USSR_1959_ZS_1959-08_page_10_1046_1045_1034.png

description: :unav
DOI: 10.48668/mu3mfc/r8zwaz
title: USSR_1959_ZS_1959-07_page_14_315_314_313.png

description: :unav
DOI: 10.48668/mu3mfc/rkcscq
title: USSR_1959_ZS_1959-07_page_18_308_307_306.png

description: :unav
DOI: 10.48668/mu3mfc/on7cn3
title: USSR_1959_ZS_1959-05_page_13_472_471_470.png

description: :unav
DOI: 10.48668/mu3mfc/xstgwz
title: USSR_1959_ZS_1959-09_page_11_994_993_992.png

description: :unav
DOI: 10.48668/mu3mfc/m4senq
title: USSR_1959_ZS_1959-06_page_16_401_400_399.png

description: :unav
DOI: 10.48668/mu3mfc/dkkve4
title: USSR_1959_ZS_1959-03_page_30_564_563_562.png

description: :unav
DOI: 10.48668/mu3mfc/7sbs4q
title: USSR_1959_ZS_1959-06_page_14_406_405_404.png

description: :unav
DOI: 10.48668/mu3mfc/7fgyin
title: USSR_1959_ZS_1959-09_page_18_976_975_974.png

description: :unav
DOI: 10.48668/mu3mfc/zrflhy
title: USSR_1959_ZS_1959-09_page_4_920_919_918.png

description: :unav
DOI: 10.48668/mu3mfc/36ired
title: USSR_1959_ZS_1959-09_page_17_973_972_971.png

description: :unav
DOI: 10.48668/mu3mfc/2jufgg
title: USSR_1959_ZS_1959-07_page_31_273_272_271.png

description: :unav
DOI: 10.15468/dl.5wneqm
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('PRESERVED_SPECIMEN', 'MATERIAL_SAMPLE')
 AND GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '5284945', TRUE)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; ''
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

 The dataset's 1 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018235-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/wy5gqu
title: USSR_1959_ZS_1959-06_page_28_374_373_372.png

description: :unav
DOI: 10.48668/mu3mfc/ei4kmc
title: USSR_1959_ZS_1959-05_page_40_30_29_28.png

description: :unav
DOI: 10.48668/mu3mfc/u5kh4i
title: USSR_1959_ZS_1959-07_page_17_314_313_312.png

description: :unav
DOI: 10.48668/mu3mfc/vaqn4z
title: USSR_1959_ZS_1959-02_page_29_690_689_688.png

description: :unav
DOI: 10.48668/mu3mfc/wza9gr
title: USSR_1959_ZS_1959-06_page_46_349_348_347.png

description: :unav
DOI: 10.48668/mu3mfc/nr77eh
title: USSR_1959_ZS_1959-02_page_17_698_697_696.png

description: :unav
DOI: 10.48668/mu3mfc/357qcs
title: USSR_1959_ZS_1959-02_page_23_686_685_684.png

description: :unav
DOI: 10.48668/mu3mfc/cagxha
title: USSR_1959_ZS_1959-05_page_16_466_465_464.png

description: :unav
DOI: 10.48668/mu3mfc/s1xsnz
title: USSR_1959_ZS_1959-02_page_36_662_661_660.png

description: :unav
DOI: 10.48668/mu3mfc/cmtf5s
title: USSR_1959_ZS_1959-03_page_10_624_623_622.png

description: :unav
DOI: 10.48668/mu3mfc/51ilgb
title: USSR_1959_ZS_1959-02_page_24_679_678_677.png

description: :unav
DOI: 10.48668/mu3mfc/bypzer
title: USSR_1959_ZS_1959-07_page_31_271_270_269.png

description: :unav
DOI: 10.48668/mu3mfc/eqxcmh
title: USSR_1959_ZS_1959-08_page_39_1011_1010_1006.png

description: :unav
DOI: 10.48668/mu3mfc/j5doqj
title: USSR_1959_ZS_1959-01_page_28_783_782_781.png

description: :unav
DOI: 10.48668/mu3mfc/oepdaz
title: USSR_1959_ZS_1959-06_page_34_382_381_380.png

description: :unav
DOI: 10.48668/mu3mfc/59jipn
title: USSR_1959_ZS_1959-08_page_18_50_49_48.png

description: :unav
DOI: 10.48668/mu3mfc/j7tns1
title: USSR_1959_ZS_1959-02_page_14_709_708_707.png

description: :unav
DOI: 10.48668/mu3mfc/gptvdh
title: USSR_1959_ZS_1959-04_page_9_482_481_480.png

description: :unav
DOI: 10.48668/mu3mfc/v8zvi2
title: USSR_1959_ZS_1959-06_page_6_87_86_85.png

description: :unav
DOI: 10.48668/mu3mfc/yj3csd
title: USSR_1959_ZS_1959-04_page_34_541_540_539.png

description: :unav
DOI: 10.48668/mu3mfc/0wnbwo
title: USSR_1959_ZS_1959-09_page_43_937_936_935.png

description: :unav
DOI: 10.48668/mu3mfc/iko1ja
title: USSR_1959_ZS_1959-09_page_18_979_978_977.png

description: :unav
DOI: 10.48668/mu3mfc/cr2m2i
title: USSR_1959_ZS_1959-08_page_18_1024_1023_1017.png

description: :unav
DOI: 10.48668/mu3mfc/58exco
title: USSR_1959_ZS_1959-02_page_33_684_683_682.png

description: :unav
DOI: 10.48668/mu3mfc/no0krs
title: USSR_1959_ZS_1959-06_page_0_414_413_412.png

description: :unav
DOI: 10.48668/mu3mfc/z8vve6
title: USSR_1959_ZS_1959-02_page_48_637_636_635.png

description: :unav
DOI: 10.48668/mu3mfc/xsjmss
title: USSR_1959_ZS_1959-02_page_46_8_7_6.png

description: :unav
DOI: 10.48668/mu3mfc/naohto
title: USSR_1959_ZS_1959-04_page_48_494_493_492.png

description: :unav
DOI: 10.48668/mu3mfc/nmodns
title: USSR_1959_ZS_1959-02_page_13_705_704_703.png

description: :unav
DOI: 10.48668/mu3mfc/4ecsvo
title: USSR_1959_ZS_1959-09_page_39_52_51_50.png

description: :unav
DOI: 10.48668/mu3mfc/nowgjs
title: USSR_1959_ZS_1959-04_page_19_511_510_509.png

description: :unav
DOI: 10.48668/mu3mfc/n4aopz
title: USSR_1959_ZS_1959-01_page_10_807_806_805.png

description: :unav
DOI: 10.48668/mu3mfc/hrjo7c
title: USSR_1959_ZS_1959-07_page_16_316_315_314.png

description: :unav
DOI: 10.5281/zenodo.18515935
title: LINF_320035500

description: Prefoldin; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18515936
title: LINF_320035500

description: Prefoldin; Leishmania infantum (strain JPCM5)
DOI: 10.48668/mu3mfc/mqjwpr
title: USSR_1959_ZS_1959-07_page_10_82_81_80.png

description: :unav
DOI: 10.48668/mu3mfc/yjypkv
title: USSR_1959_ZS_1959-09_page_38_917_916_915.png

description: :unav
DOI: 10.48668/mu3mfc/rmtrq6
title: USSR_1959_ZS_1959-06_page_22_390_389_388.png

description: :unav
DOI: 10.48668/mu3mfc/wuuzdz
title: USSR_1959_ZS_1959-07_page_16_312_311_310.png

description: :unav
DOI: 10.48668/mu3mfc/a6wios
title: USSR_1959_ZS_1959-01_page_47_747_746_745.png

description: :unav
DOI: 10.48668/mu3mfc/5ig5ho
title: USSR_1959_ZS_1959-08_page_36_49_48_47.png

description: :unav
DOI: 10.48668/mu3mfc/ryzopb
title: USSR_1959_ZS_1959-06_page_27_376_375_374.png

description: :unav
DOI: 10.48668/mu3mfc/svsoth
title: USSR_1959_ZS_1959-08_page_23_1055_1054_1059.png

description: :unav
DOI: 10.48668/mu3mfc/mcgqur
title: USSR_1959_ZS_1959-03_page_27_586_585_584.png

description: :unav
DOI: 10.48668/mu3mfc/3ayojz
title: USSR_1959_ZS_1959-05_page_24_453_452_451.png

description: :unav
DOI: 10.48668/mu3mfc/htmo4g
title: USSR_1959_ZS_1959-03_page_12_609_608_607.png

description: :unav
DOI: 10.48668/mu3mfc/9e5zwx
title: USSR_1959_ZS_1959-02_page_45_643_642_641.png

description: :unav
DOI: 10.48668/mu3mfc/d8crnn
title: USSR_1959_ZS_1959-08_page_18_1033_1032_1024.png

description: :unav
DOI: 10.48668/mu3mfc/iggh79
title: USSR_1959_ZS_1959-02_page_49_7_6_5.png

description: :unav
DOI: 10.48668/mu3mfc/j2ejnr
title: USSR_1959_ZS_1959-09_page_28_958_957_956.png

description: :unav
DOI: 10.5281/zenodo.18512432
title: China Grid-level Natural Streamflow Estimates (CHASE v1.0)

description: This record contains monthly and yearly averaged flow records of CHASE v1.0. For daily records, please visit https://doi.org/10.5281/zenodo.17386507

Overview

CHinA grid-level natural Streamflow Estimates (CHASE v1.0) provides 1-km gridded estimates of natural streamflow across China, reconstructed using a coupled land-surface-hydrologic-hydrodynamic modeling system. It spans the period from January 1, 1962, to December 31, 2024, at a daily temporal resolution and 1-km spatial resolution. Validation against 1,225 flow gauges shows median daily Nash-Sutcliffe Efficiency (NSE) of 0.57, monthly NSE of 0.77, daily Kling-Gupta Efficiency (KGE) of 0.65, and monthly KGE of 0.73. Lake water level simulations are also satisfactory in major freshwater systems like Poyang, Dongting, Tai, Chao, and Hongze Lakes.

Request Access

By requesting access, you agree to the following conditions:





You are a researcher requesting access from a research-affiliated institution.




You will use the dataset only for research purposes and will not redistribute it.



In your request, please provide your full name, affiliation, and relevant funding information, following the example below:

Name: Ningpeng Dong

Affiliation: China Institute of Water Resources and Hydropower Research

Funding Information: National Natural Science Foundation of China (42401053).

Data Files

The dataset consists of NetCDF files.



Spatial Coverage: China, bounded approximately by latitudes 18°N to 53°N and longitudes 73°E to 135°E. Grid dimensions: 4087 rows (Y) × 4780 columns (X).

Temporal Coverage: Monthly or yearly timesteps.

Resolution: 1 km × 1 km (nominal grid cell size).


Variables



time (double, dimension: time): Time.

XLONG (float, dimensions: Y, X): Longitude of each grid cell.

XLAT (float, dimensions: Y, X): Latitude of each grid cell. 

streamflow (int, dimensions: time, Y, X): Natural streamflow rate. Units: m³/s; Scale factor: 0.1 (multiply stored values by 0.1 to get actual m³/s); Add offset: 0; Fill/missing value: -9999. Data are packed as integers for efficiency.


Usage Notes



Processing: Files can be read using standard NetCDF libraries. To unpack streamflow values: actual_value = (stored_value * scale_factor) + add_offset. Negative or fill values indicate no data (e.g., outside the model domain).

Limitations: Data are model-derived and assume natural conditions; they do not include human interventions. Users should consult the associated papers for detailed validation metrics.


Reference

Ningpeng Dong, Mingxiang Yang, Jianhui Wei, et al. Reconstructing China's Natural Streamflow at 1 km resolution. Authorea. October 24, 2025. DOI: 10.22541/au.176132833.37694469/v1

For questions, contact: Ningpeng Dong (dongnp@iwhr.com).
DOI: 10.15468/dl.acfczf
title: Occurrence Download

description: A dataset containing 690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is China",
 "TaxonKey is Cibotium barometz"
 ]
}

 The dataset includes 690 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018242-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/l4dxgl
title: USSR_1959_ZS_1959-03_page_7_534_533_532.png

description: :unav
DOI: 10.48668/mu3mfc/384pjy
title: USSR_1959_ZS_1959-07_page_11_328_327_326.png

description: :unav
DOI: 10.48668/mu3mfc/zo3iwy
title: USSR_1959_ZS_1959-04_page_37_507_506_505.png

description: :unav
DOI: 10.48668/mu3mfc/nyta5l
title: USSR_1959_ZS_1959-06_page_3_352_351_350.png

description: :unav
DOI: 10.48668/mu3mfc/6g6rd4
title: USSR_1959_ZS_1959-01_page_46_737_736_735.png

description: :unav
DOI: 10.48668/mu3mfc/5r77gt
title: USSR_1959_ZS_1959-06_page_7_330_329_328.png

description: :unav
DOI: 10.48668/mu3mfc/sm2lxo
title: USSR_1959_ZS_1959-02_page_46_655_654_653.png

description: :unav
DOI: 10.15468/dl.yr2puf
title: Occurrence Download

description: A dataset containing 5743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Gyps himalayensis"
 ]
}

 The dataset includes 5743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018243-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/x9evgx
title: USSR_1959_ZS_1959-09_page_33_940_939_938.png

description: :unav
DOI: 10.5281/zenodo.17384262
title: China Grid-level Natural Streamflow Estimates (CHASE v1.0)

description: This record contains monthly and yearly averaged flow records of CHASE v1.0. For daily records, please visit https://doi.org/10.5281/zenodo.17386507

Overview

CHinA grid-level natural Streamflow Estimates (CHASE v1.0) provides 1-km gridded estimates of natural streamflow across China, reconstructed using a coupled land-surface-hydrologic-hydrodynamic modeling system. It spans the period from January 1, 1962, to December 31, 2024, at a daily temporal resolution and 1-km spatial resolution. Validation against 1,225 flow gauges shows median daily Nash-Sutcliffe Efficiency (NSE) of 0.57, monthly NSE of 0.77, daily Kling-Gupta Efficiency (KGE) of 0.65, and monthly KGE of 0.73. Lake water level simulations are also satisfactory in major freshwater systems like Poyang, Dongting, Tai, Chao, and Hongze Lakes.

Request Access

By requesting access, you agree to the following conditions:





You are a researcher requesting access from a research-affiliated institution.




You will use the dataset only for research purposes and will not redistribute it.



In your request, please provide your full name, affiliation, and relevant funding information, following the example below:

Name: Ningpeng Dong

Affiliation: China Institute of Water Resources and Hydropower Research

Funding Information: National Natural Science Foundation of China (42401053).

Data Files

The dataset consists of NetCDF files.



Spatial Coverage: China, bounded approximately by latitudes 18°N to 53°N and longitudes 73°E to 135°E. Grid dimensions: 4087 rows (Y) × 4780 columns (X).

Temporal Coverage: Monthly or yearly timesteps.

Resolution: 1 km × 1 km (nominal grid cell size).


Variables



time (double, dimension: time): Time.

XLONG (float, dimensions: Y, X): Longitude of each grid cell.

XLAT (float, dimensions: Y, X): Latitude of each grid cell. 

streamflow (int, dimensions: time, Y, X): Natural streamflow rate. Units: m³/s; Scale factor: 0.1 (multiply stored values by 0.1 to get actual m³/s); Add offset: 0; Fill/missing value: -9999. Data are packed as integers for efficiency.


Usage Notes



Processing: Files can be read using standard NetCDF libraries. To unpack streamflow values: actual_value = (stored_value * scale_factor) + add_offset. Negative or fill values indicate no data (e.g., outside the model domain).

Limitations: Data are model-derived and assume natural conditions; they do not include human interventions. Users should consult the associated papers for detailed validation metrics.


Reference

Ningpeng Dong, Mingxiang Yang, Jianhui Wei, et al. Reconstructing China's Natural Streamflow at 1 km resolution. Authorea. October 24, 2025. DOI: 10.22541/au.176132833.37694469/v1

For questions, contact: Ningpeng Dong (dongnp@iwhr.com).
DOI: 10.48668/mu3mfc/fzsokl
title: USSR_1959_ZS_1959-07_page_33_270_269_268.png

description: :unav
DOI: 10.48668/mu3mfc/jqv6wn
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DOI: 10.6084/m9.figshare.27563214
title: Training/Validation/Testing CIC-DDoS2019 dataset optimized by Ameur Salem ZAIDOUN

description: This is a optimized CIC-DDoS2019 dataset by Ameur Salem ZAIDOUN, it can be used for efficient Training/Validation/Testing models in relationship with SDN DDoS detection and classification.
DOI: 10.6084/m9.figshare.27563214.v3
title: Training/Validation/Testing CIC-DDoS2019 dataset optimized by Ameur Salem ZAIDOUN

description: This is a optimized CIC-DDoS2019 dataset by Ameur Salem ZAIDOUN, it can be used for efficient Training/Validation/Testing models in relationship with SDN DDoS detection and classification.
DOI: 10.6084/m9.figshare.27563214.v2
title: Training/Validation/Testing CIC-DDoS2019 dataset optimized by Ameur Salem ZAIDOUN

description: This is a optimized CIC-DDoS2019 dataset by Ameur Salem ZAIDOUN, it can be used for efficient Training/Validation/Testing models in relationship with SDN DDoS detection and classification.
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