cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26d6g9
title: CCDC 2037520: Experimental Crystal Structure Determination

description: Related Article: Mohammed Zain Aldin, Guillermo Zaragoza, William Deschamps, Jean-Claude Didelot Tomani, Jacob Souopgui, Lionel Delaude|2021|Inorg.Chem.|60|16769|doi:10.1021/acs.inorgchem.1c02648
DOI: 10.5517/ccdc.csd.cc26d6hb
title: CCDC 2037521: Experimental Crystal Structure Determination

description: Related Article: Mohammed Zain Aldin, Guillermo Zaragoza, William Deschamps, Jean-Claude Didelot Tomani, Jacob Souopgui, Lionel Delaude|2021|Inorg.Chem.|60|16769|doi:10.1021/acs.inorgchem.1c02648
DOI: 10.5517/ccdc.csd.cc26xn93
title: CCDC 2053325: Experimental Crystal Structure Determination

description: Related Article: Jin-Feng Cheng, Fan-Cheng Kong, Kai Zhang, Jia-Heng Cai, Yue Zhao, Chuan-Kui Wang, Jian Fan, Liang-Sheng Liao|2022|Chem.Eng.Journal|430|132822|doi:10.1016/j.cej.2021.132822
DOI: 10.5517/ccdc.csd.cc26ydn7
title: CCDC 2054049: Experimental Crystal Structure Determination

description: Related Article: Ruige Wang, Xiaojuan Dong, Yonghong Zhang, Bin Wang, Yu Xia, Ablimit Abdukader, Fei Xue, Weiwei Jin, Chenjiang Liu|2021|Chem.-Eur.J.|27|14931|doi:10.1002/chem.202102262
DOI: 10.5517/ccdc.csd.cc27f1nd
title: CCDC 2068123: Experimental Crystal Structure Determination

description: Related Article: Gurjaspreet Singh, Suman, Diksha, Pawan, Mohit, Sushma, Priyanka, Anamika Saini, Pinky Satija|2021|J.Mol.Struct.|1250|131766|doi:10.1016/j.molstruc.2021.131766
DOI: 10.6084/m9.figshare.16934659.v2
title: DATA for Hébert et al 2021b PNAS

description: Global climate warming is causing the loss of freshwater ice around the Northern Hemisphere. Although the timing and duration of ice covers are known to regulate ecological processes in seasonally ice-covered ecosystems, the consequences of shortening winters for freshwater biota are poorly understood owing to the scarcity of under-ice research. Here, we present one of the first in-lake experiments to postpone ice-cover onset (by ≤21 d), thereby extending light availability (by ≤40 d) in early winter, and explicitly demonstrate cascading effects on pelagic food web processes and phenologies. Delaying ice-on elicited a sequence of events from winter to spring: 1) relatively greater densities of algal resources and primary consumers in early winter; 2) an enhanced prevalence of winter-active (overwintering) consumers throughout the ice-covered period, associated with augmented storage of high-quality fats likely due to a longer access to algal resources in early winter; and 3) an altered trophic structure after ice-off, with greater initial springtime densities of overwintering consumers driving stronger, earlier top-down regulation, effectively reducing the spring algal bloom. Increasingly later ice onset may thus promote consumer overwintering, which can confer a competitive advantage on taxa capable of surviving winters upon ice-off; a process that may diminish spring food availability for other consumers, potentially disrupting trophic linkages and energy flow pathways over the subsequent open-water season. In considering a future with warmer winters, these results provide empirical evidence that may help anticipate phenological responses to freshwater ice loss and, more broadly, constitute a case of climate-induced cross-seasonal cascade on realized food web processes.
DOI: 10.25721/fqer-f440
title: Information sur l'apprentissage de l'accordéon et les différents instruments sur lesquels Monsieur Guedenet a joué
DOI: 10.25721/5m5e-r316
title: Information sur l'apprentissage du répertoire
DOI: 10.15468/sbzem9
title: Molecular Phylogenetics of Parasenegalia and Pseudosenegalia (Fabaceae: Mimosoideae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Miller, Joseph T., Terra, Vanessa, Riggins, Chance, Ebinger, John E., Seigler, David S. (2017): Molecular Phylogenetics of Parasenegalia and Pseudosenegalia (Fabaceae: Mimosoideae). Systematic Botany 42 (3), No. 465 - 469: 464-469, DOI: 10.1600/036364417X696140
DOI: 10.6084/m9.figshare.16940635
title: The Leadership of School Principals in Egalitarian Matrilineal Society of Minangkabau

description: This data is the raw data of research results that have been incorporated into the form of excel.
DOI: 10.6084/m9.figshare.16940635.v1
title: The Leadership of School Principals in Egalitarian Matrilineal Society of Minangkabau

description: This data is the raw data of research results that have been incorporated into the form of excel.
DOI: 10.25721/y5ap-6m20
title: Viens Poupoule
DOI: 10.25721/dd5q-wd64
title: Valse des roses
DOI: 10.5066/p9ywnbaq
title: Data and Regression Models for Suspended Sediment, Total Nitrogen, and Total Phosphorus for School Branch at CR750N at Brownsburg, Indiana, June 23, 2015 to February 6, 2019

description: The primary data sets consist of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage School Branch at CR750N at Brownsburg, Indiana, November 17, 2015 to February 6, 2019. The continuous and discrete measurements were used to develop regression models which may be used to compute concentrations and loads of suspended sediment, total nitrogen, and total phosphorus. The secondary data sets consist of daily streamflow, daily turbidity, daily specific conductance, and daily nitrate plus nitrite values collected continuously by in-situ monitors at School Branch at CR750N at Brownsburg, Indiana June 23, 2015 to February 6, 2019 which serve as input explanatory variables for the developed regression models to compute suspended sediment, total nitrogen, and total phosphorus at School Branch at CR750N at Brownsburg. The tertiary data sets for June 23, 2015 to February 6, 2019 are the output data sets that were developed by application of each regression model and include the computed daily mean constituent concentrations (with upper 95-percent prediction interval, and lower 95-percent prediction interval) and daily mean constituent loads (with upper 95-percent prediction interval, and lower 95-percent prediction interval).
DOI: 10.6084/m9.figshare.16940671
title: deepFlashTemplateT1SkullStripped.nii.gz

description: deep flash t1 template skull stripped<br>
DOI: 10.6084/m9.figshare.16940674
title: deepFlashTemplateT2SkullStripped.nii.gz

description: deep flash t2 template skull stripped
DOI: 10.6084/m9.figshare.16940674.v1
title: deepFlashTemplateT2SkullStripped.nii.gz

description: deep flash t2 template skull stripped
DOI: 10.25721/mwjb-cq11
title: Information sur la "Valse des roses", enregistrée sur la bande magnétique MUS1967.70.118
DOI: 10.25721/w91t-rb11
title: Mazurka
DOI: 10.17632/gdnzfz4x85.1
title: Raw data files from RNA-seq on BV2 cells

description: BV2 cells were treated with α-M or NP-α-M, and the total RNA was extracted using Trizol (ThermoFisher). RNA analysis was conducted by  Shanghai Personalbio Technology Co., Ltd, China. The sequencing library was constructed using TruSeq RNA Sample Preparation Kit (Illumina), and the library was sequenced using Hiseq platform (Illumina). 
pval: p-value
padj: p-adjusted value
FPKM: Fragments Per Kilobase of exon model per Million mapped fragments
GO: Gene Ontology analyses, based on the Gene Ontology Database (http://www.geneontology.org/) 
KEGG: Kyoto Encyclopedia of Genes and Genomes analyses, based on KEGG pathway database (http://www.genome.jp/kegg/)
DOI: 10.17632/9v87x4jmwt.2
title: A warm tea: the role of temperature and hydroperiod on litter decomposition in temporary wetlands

description: Data of green and mint tea remaining ash free dry mass (AFDM) for three moisture condition treatments and two incubation temperatures. Decomposition rates for both litter types are included and tea mass loss data from a field study, in which tea bags were set to decompose in nine meadows.
DOI: 10.17632/s733mm3njb.2
title: Fatigue life prediction of aluminum alloy materials based on surface damage and internal defects

description: The effects of internal defects and surface damage on fatigue life of periodically damaged specimens are analyzed by means of microscopic computed tomography and microscopic observation. A three-dimensional reconstruction model based on surface damage and internal defects was established, which was confirmed by the experimental data of fatigue damage accumulation during the stages of damage, and a statistical regression model was established by using surface roughness and stress concentration coefficient of the specimens to predict fatigue life.
DOI: 10.17632/sf8s89rhmv.1
title: Complete Lagrangian and set of Feynman rules for scalar leptoquarks

description: Leptoquarks (LQs) have attracted increasing attention within recent years, mainly since they can explain the flavor anomalies found in $R(D^{(*)})$, $b \rightarrow s \ell^+ \ell^-$ transitions and the anomalous magnetic moment of the muon. In this article, we lay the groundwork for further automated analyses by presenting the complete Lagrangian and the corresponding set of Feynman rules for scalar leptoquarks. This means we consider the five representations $\Phi_1, \Phi_{\tilde1}, \Phi_2, \Phi_{\tilde2}$ and $\Phi_3$ and include the triple and quartic self-interactions, as well as couplings to the Standard Model (SM) fermions, gauge bosons and the Higgs. The calculations are performed using FeynRules and all model files are publicly available online at https://gitlab.com/lucschnell/SLQrules.
DOI: 10.25721/mjpx-7368
title: La comijado
DOI: 10.17632/29ntw7sh4r.3
title: Human breast cancer in situ capturing transcriptomics

description: Triplicates from 23 breast cancer patients with luminal a, luminal b, triple-negative, and HER2-positive subtypes. Please refer to metadata.csv for patient, replicate, and subtype associations.

All samples were produced using the protocol described in [1].

[1]: http://doi.org/10.1126/science.aaf2403

Changes in Version 3:
- Added tumor annotation files

Changes in Version 2:
- Added indices to spot files
- Dropped sample with bad spot data (23901_C1)
DOI: 10.17632/kvxttz4783.1
title: Reheat Furnace Scheduling Input Data

description: This data set includes relevant data to schedule steel slabs through three non-identical reheating furnaces. The data was provided by a steel manufacturer - for confidentiality reasons the data set is manipulated with a constant, arbitrarily chosen numerical value.
The first three columns contain the minimum residence time of the slab in the respective furnace: U.
The fourth column gives the minimum time between two successive slabs: G.
The last column indicates whether the slab needs to be reheated with the walking beam furnace: WB
DOI: 10.34808/t3y8-r742
title: Kolbudy 2021 E - video data - pedestrian, bicycles, vehicles

description: Kolbudy 2021 E - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 8 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 03.2021.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: 
NR


INTERSECTION


TIME


TOTAL


UC


7 - 8


8 - 9


14 - 15


15 - 16


16 - 17


V/h


V/h


V/h


V/h


V/h


V/5h


%


1


DW221 - Ordynacka (m. Kowale)


1712


1567


1797


1823


1537


8436


9,2


2


DW221 - Wiecznych Mgieł (m. Bąkowo)


1125


985


1121


1185


998


5414


9,3


3


DW221 - Sowia (m. Bąkowo)


1125


979


1123


1189


1014


5430


9,3


4


DW221 - Wiśniowy Sad (m. Bąkowo)


1058


975


998


1040


901


4972


8,4


5


DW221 - droga lokalna (m. Bąkowo)


1057


972


997


1034


901


4961


8,4


6


DW221 - Rekreacyjna (m. Bąkowo)


1055


972


993


1034


900


4954


8,4


7


DW221 - Otomińska (m. Bąkowo)


1059


977


1007


1047


907


4997


8,4


8


DW221 - Żurawia (m. Bąkowo)


1069


982


1015


1057


921


5044


8,4

 
 
 
 
 
 
 
 

7,4

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Sample view of the video material:
DOI: 10.34808/jymv-1253
title: Bielawa 2019 - video data - pedestrian, bicycles, vehicles

description: Bielawa 2019 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 15 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 04.2019.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTION
TIME
TOTAL
UC
7 - 8
8 - 9
14 - 15
15 - 16
16 - 17
V/h
V/h
V/h
V/h
V/h
V/5h
%
1
DW384-Kamienna (m. Dzierżoniów)
957
1019
1284
1424
1421
6105
4,6
2
DW384-Korczaka (m. Dzierżoniów)
1144
1144
1510
1659
1702
7159
4,3
3
DW382 – DW384 (m. Dzierżoniów)
1331
1525
1764
1926
1853
5960
8,9
4
DW382 – DW384 (m. Dzierżoniów)
1458
1589
1903
2029
1907
8886
6,2
5
DW384 – Kopernika (m. Dzierżoniów)
1040
1172
1496
1535
1448
6537
6,3
6
DW384 – Kolejowa – Staszica (m. Dzierżoniów)
1547
1516
2068
2174
2051
8956
4,1
7
DW382 – Staszica (m. Dzierżoniów)
796
741
1037
1038
957
4569
7,2
8
DW382 - DP3017D (m. Piława Dolna)
740
714
916
948
887
4205
7,8
9
DW382 - DP3008D (m. Piława Dolna)
659
637
870
876
864
3906
9,5
10
DW384 – Pilawska (m. Bielawa)
995
957
1310
1506
1393
6161
3,3
11
DW384 – Wojska Polskiego (m. Bielawa)
648
688
904
1051
1070
4361
2,0
12
DW384 – Sienkiewicza (m. Bielawa)
907
1091
1473
1582
1558
6611
3,3
13
DW384 – Ostroszowicka (m. Bielawa)
768
814
1176
1168
1189
5115
4,0
14
DW384 – DP3004D (m. Jodłownik)
129
124
172
169
159
753
1,6
15
DP3004D – DP3006D (m. Ostroszowice)
187
169
263
262
256
1137
5,3
DOI: 10.34808/xt9x-9354
title: Kowale 2017 - video data - pedestrian, bicycles, vehicles

description: Kowale 2017 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 11 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 03.2017.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
NODE/INTERSECTION
TIME
TOTAL
UC
7 - 8
8 - 9
14 - 15
15 - 16
16 - 17
17 - 18
V/h
V/h
V/h
V/h
V/h
V/h
V/6H
%
1
Intersection: ul. Jabłoniowa – ul. Lubichowska
663
672
576
843
1141
799
4694
6,3
2
Node Jabłoniowa, west
1199
1141
1065
1390
1462
1360
7617
5,3
3
Node Jabłoniowa, east
1531
1410
1447
1767
1666
1668
9489
4,5
4
Intersection: ul. Jabłoniowa – ul. Przywidzka
2029
1847
2009
2360
2200
2259
12704
4,2
5
Intersection: ul. Jabłoniowa – ul. Lubowidzka
1479
1397
1397
1524
1396
1395
8588
5,1
6
Obwodnica Trójmiasta, section
2283
1959
1912
2621
2282
2258
13315
8,4
7
Node Kowale, west
4259
4427
4774
5447
5749
4766
29422
11,7
8
Node Kowale, east
2447
2163
1997
2638
2435
2355
14035
6,3
9
Intersection: ul. Staropolska – ul. Starowiejska – ul. Glazurowa
2075
1917
1807
2329
2315
2174
12617
5,3
10
Intersection: ul. Staropolska – ul. Pilotów – ul. Kręta
1622
1549
1406
1796
1825
1736
9934
4,6
11
Intersection: ul. Staropolska – ul. Zeusa – ul. Sadowa
1666
1623
1555
1970
2014
1909
10737
4,7
DOI: 10.25721/sze7-vf70
title: Bourrée
DOI: 10.34808/9w48-2704
title: Człuchów 2019 - video data - pedestrian, bicycles, vehicles

description: Człuchów 2019 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 9 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 09.2019.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTION
TIME
TOTAL
UC
7 - 8
8 - 9
14 - 15
15 - 16
16 - 17
V/h
V/h
V/h
V/h
V/h
V/5h
%
1
Intersection: DK25 – ul. Przemysłowa (m. Człuchów)
366
333
426
400
339
1864
11,5
2
Intersection: DK25 – zjazd, kier. posesja nr 23A (m. Człuchów)
361
336
424
401
334
1856
11,8
3
Intersection: DK25 – zjazd, kier. posesja nr 31 (m. Człuchów)
300
290
366
352
315
1623
12,7
4
Intersection: DK25 – ul. Kwiatowa (m. Człuchów)
306
289
357
348
321
1621
12,8
5
Intersection: DK25 – DG236007G (m. Ględowo)
310
273
343
331
303
1560
13,1
6
Intersection: DK25 – DG236009G (m. Jęczniki Wielkie)
237
215
256
251
219
1178
16,3
7
Intersection: DK25 – DP2556G (m. Wierzchowo Człuchowskie)
241
228
305
296
256
1326
14,3
8
Intersection: DK25 – DW212 (m. Kamionka)
374
352
453
503
453
2135
15,4
9
Intersection: DK25 – DP1101C (m. Zamarte)
359
345
420
466
436
2026
16,0
DOI: 10.34808/ahym-6p15
title: Strzegom 2019 - video data - pedestrian, bicycles, vehicles

description: Strzegom 2019 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 10 intersections .
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 04.2019.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTION
TIME
TOTAL
UC
7 - 8
8 - 9
14 - 15
15 - 16
16 - 17
V/h
V/h
V/h
V/h
V/h
V/5h
%
1
Intersection: DW374 – DP2792D (m. Rogoźnica)
441
541
697
649
637
2965
15,0
2
Intersection: DW374 – DP2792D (m. Rogoźnica)
444
522
718
661
631
2976
16,5
3
Intersection: DW374 – DP2887D (m. Rogoźnica)
403
472
633
583
590
2681
16,6
4
Intersection: DW374 – DG110753D (m. Wieśnica)
430
452
564
589
589
2624
13,8
5
Intersection: DW374 – Sosnowa / Granitowa (m. Strzegom)
553
573
738
774
789
3427
10,4
6
Intersection: DW374 – Kościuszki (m. Strzegom)
548
562
722
754
767
3353
10,7
7
Intersection: DK5 – DW374 (m. Strzegom)
1385
1328
1578
1742
1662
7695
11,0
8
Intersection: DK5 – DP2922D / DG110747D (m. Granica)
336
399
444
467
411
2057
15,6
9
Intersection: DW374 – DP2884D (m. Międzyrzecze)
776
753
836
929
908
4202
11,6
10
Intersection: DW374 – DW382 (m. Stawiska)
857
783
908
936
982
4466
9,1
DOI: 10.34808/wwfn-5s10
title: S14 2019 - video data - pedestrian, bicycles, vehicles

description: S14 2019 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 8 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 10.2019.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTIONS
TIME
TOTAL
UC
7 - 8
8 - 9
14 - 15
15 - 16
16 - 17
 V/h
 V/h
 V/h
 V/h
 V/h
 V/5h
%
1
DK91-DG120361E
1058
938
1027
1090
1244
5357
7,2
2
DK91-A2-DP5144E
1336
1195
1289
1358
1513
6691
7,7
3
Parzeczewska-Boya Zelenskiego
288
179
223
245
302
1237
11,6
4
Staffa-Jedlicka
315
231
256
292
318
1412
12,5
5
DK71-DG120839E
893
725
761
870
936
4185
6,4
6
DG161203E-DG161040E
55
26
26
34
54
195
5,1
7
DK72-DG161261E
1448
1369
1566
1677
1786
7846
3,4
8
DG161080E-DG161185E
102
46
62
62
76
348
2,3
DOI: 10.25721/xfzh-h685
title: Information sur la mazurka enregistrée sur la bande magnétique MUS1967.70.120
DOI: 10.34808/h5h0-mr06
title: Hel 2019 - video data - pedestrian, bicycles, vehicles

description: Hel 2019 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 7 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 08.2019.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTION
TIME
TOTAL
UC
7 - 8
8 - 9
14 - 15
15 - 16
16 - 17
17 - 18
V/h
V/h
V/h
V/h
V/h
V/h
V/6H
%
1
DW216 - ul. Sambora (m. Hel)
151
179
440
450
410
423
2053
2,2
2
DW216 - ul. Bosmańska (m. Chałupy)
282
360
610
687
649
689
3277
2
3
DW216/DW215 - ul. Szyperska (m. Władysławowo)
1081
1411
1730
1880
1924
1894
9920
2,1
4
DW216 - ul. Gdańska (m. Władysławowo)
771
939
1268
1361
1362
1285
6986
2,5
5
DP1509G - ul. Oetkera (m. Władysławowo)
203
278
351
389
358
330
1909
2,6
6
DW215 - ul. Żeromskiego (m. Chłapowo)
309
447
546
612
634
695
3243
3,6
7
DW216 - ul. Starowiejska (m. Władysławowo)
363
472
763
814
826
819
4057
1,8
DOI: 10.34808/47m2-fq19
title: Lipsko 2018 - video data - pedestrian, bicycles, vehicles

description: Lipsko 2018 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 8 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 04.2018.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTION
TIME
TOTAL
UC
6 - 7
7 - 8
8 - 9
9 - 10
14 - 15
15 - 16
16 - 17
17 - 18
V/h
V/h
V/h
V/h
V/h
V/h
V/h
V/h
V/8h
%
1
Intersection: DK79 – D754
383
519
471
495
543
630
535
494
4070
27,4
2
Intersection: DK79 – Obrońców Chotczy
460
662
593
611
668
791
717
585
5087
21,3
3
Intersection: DK79 – Partyzantów
540
852
803
745
920
1001
833
690
6384
17,0
4
Intersection: DK79 – 1 Maja
591
915
921
864
1002
1071
933
740
7037
15,8
5
Intersection: DK79 – Solecka
0
691
723
705
805
953
716
615
5208
18,8
6
Intersection: DK79 – Solecka
0
521
512
503
482
622
467
390
3497
15,6
7
Intersection: DK79 – DW747
536
800
855
804
933
984
790
650
6352
20,3
8
Intersection: DK79 – DW747
536
735
776
736
914
981
764
636
6078
19,1
DOI: 10.34808/h3g0-9v65
title: Góra Kalwaria 2018 - video data - pedestrian, bicycles, vehicles

description: Góra Kalwaria 2018 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 8 intersections .
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 04.2018.  Location of intersections:  Summary of road traffic and HGV share at individual intersections: NR
INTERSECTION
TIME
TOTAL
UC
7 - 8
8 - 9
9 - 10
14 - 15
15 - 16
16 - 17
V/h
V/h
V/h
V/h
V/h
V/h
V/6h
%
1
Intersection: DK50 – DK79
2410
2333
2081
2094
2292
2450
13660
24,5
2
Intersection: DK79 – DW739
1111
1030
805
986
1080
1157
6169
14,3
3
Intersection: DK79 – DG8108401
889
759
746
731
872
947
4944
15,1
4
Intersection: DK79 – DP2820W
827
712
674
694
785
848
4540
15,6
5
Intersection: DK79 – DW731
773
627
630
666
709
792
4197
16,7
6
Intersection: DK79 – DP1675W
439
386
384
376
432
463
2392
16,8
7
Intersection: DK79 – DP1709W
420
400
376
364
419
485
2464
16,4
8
Intersection: DK60 – DW736
0
550
492
512
561
562
2677
13,3