cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14705802
title: Supplementary Material for: A Melanocortin-4 Receptor Agonist Induces Skin and Hair Pigmentation in Patients with Monogenic Mutations in the Leptin-Melanocortin Pathway

description: <b><i>Background and Objectives:</i></b> Gene mutations within the leptin-melanocortin signaling pathway lead to severe early-onset obesity. Recently, a phase 2 trial evaluated new pharmacological treatment options with the MC4R agonist <i>setmelanotide</i> in patients with mutations in the genes encoding proopiomelanocortin (POMC) and leptin receptor (LEPR). During treatment with <i>setmelanotide,</i> changes in skin pigmentation were observed, probably due to off-target effects on the closely related melanocortin 1 receptor (MC1R). Here, we describe in detail the findings of dermatological examinations and measurements of skin pigmentation during this treatment over time and discuss the impact of these changes on patient safety. <b><i>Methods:</i></b> In an investigator-initiated, phase 2, open-label pilot study, 2 patients with loss-of-function POMC gene mutations and 3 patients with loss-of-function variants in LEPR were treated with the MC4R agonist <i>setmelanotide</i>. Dermatological examination, dermoscopy, whole body photographic documentation, and spectrophotometric measurements were performed at screening visit and approximately every 3 months during the course of the study. <b><i>Results:</i></b> We report the results of a maximum treatment duration of 46 months. Skin pigmentation increased in all treated patients, as confirmed by spectrophotometry. During continuous treatment, the current results indicate that elevated tanning intensity levels may stabilize over time. Lips and nevi also darkened. In red-haired study participants, hair color changed to brown after initiation of <i>setmelanotide</i> treatment. <b><i>Discussion:</i></b> <i>Setmelanotide</i> treatment leads to skin tanning and occasionally hair color darkening in both POMC- and LEPR-deficient patients. No malignant skin changes were observed in the patients of this study. However, the results highlight the importance of regular skin examinations before and during MC4R agonist treatment.
DOI: 10.6084/m9.figshare.14705526
title: Supplementary Material for: Diversity in Starvation Survival Strategies and Outcomes among Heterotrophic Proteobacteria

description: Heterotrophic Proteobacteria are versatile opportunists that have been extensively studied as model organisms in the laboratory, as both pathogens and beneficial symbionts of plants and animals, and as ubiquitous organisms found free-living in many environments. Succeeding in these niches requires an ability to persist for potentially long periods of time in growth-arrested states when essential nutrients become limiting. The tendency of these bacteria to grow in dense biofilm communities frequently leads to the development of steep nutrient gradients and deprivation of interior cells even when the environment is nutrient rich. Surviving within host environments also likely requires tolerating growth arrest due to the host limiting access to nutrients and transitioning between hosts may require a period of survival in a nutrient-poor environment. Interventions to maximise plant-beneficial activities and minimise infections by bacteria will require a better understanding of metabolic and regulatory networks that contribute to starvation survival, and how these networks function in diverse organisms. Here we focus on carbon starvation as a growth-arresting condition that limits availability not only of substrates for biosynthesis but also of energy for ongoing maintenance of the electrochemical gradient across the cell envelope and cellular integrity. We first review models for studying bacterial starvation and known strategies that contribute to starvation survival<i>.</i> We then present the results of a survey of carbon starvation survival strategies and outcomes in ten bacterial strains, including representatives from the orders Enterobacterales and Pseudomonadales (both Gammaproteobacteria) and Burkholderiales (Betaproteobacteria). Finally, we examine differences in gene content between the highest and lowest survivors to identify metabolic and regulatory adaptations that may contribute to differences in starvation survival.
DOI: 10.34808/p2aw-m389
title: IRR (Irianian Rial) in comparison to the USD (IRR/USD)

description: Current problem of the Iranian economy is unstable exchange rate of Iranian currency Rial (IRR) to the US dollar (USD). Exchange rate was maintained at about 10-12 thousand IRR for 1 USD. However, the impact of sanctions depreciated Rial dramatically. In July 2013, the price of IRR has been reduced from 12 200 to 24 980 IRR/USD. At the same time, the market rate stood at 26 500 IRR/USD. Despite the many activities and government intervention, the value Rial still decreases. At the beginning of 2017, the value of the Iranian currency in terms of the US dollar is about 32 000.
DOI: 10.34808/6q9c-ap49
title: Top 10 Iran Export Partners in 2011

description: Lifting of Iranian sanctions could lead to a rapid improvement in the economic situation of Iran. This will not only remove the barriers of international transactions, but also enable the investments of foreign entities on the territory of Iran, increasing the competitiveness of operators, including in the key mining sector.
Iran presents a positive trade balance measured as the excess of exports over imports. Countries with the largest share of Iranian exports are presented in the following dataset.
DOI: 10.34808/8bqs-xq10
title: GDP growth in Iran

description: The economy of the Islamic Republic of Iran is one of the fastest growing in the Middle East. Iran should not only be associated with crude oil industry but also other areas of the economy. The sanctions that hindered oil exports from Iran meant that the authorities had to take measures to increase exports of other products. There was an increase in exports of iron ore, urea, methanol, tar and cement Diversification of sales in the long term can lead to a reduction in the dependence of the economy on oil sales. As a result of a significant decline in revenues from sales of crude oil Iran in recent years had struggled with stagflation as well as a decline in real GDP by high inflation
DOI: 10.34808/fx6f-3861
title: Inflation rate (In percentage) in Iran

description: Currently, a major concern of the Iranian economy is high inflation. Increasing prices of basic goods, and their increase in wages do not follow. At the same time the unemployment rate has raised. The following data set present the inflation rate between 2010-2020 (forecast).
DOI: 10.15470/iugjqs
title: Colección Osteológica de Aves IMEDEA (Institut d'Estudis Avançats, CSIC-UIB)

description: [Castellano] La Colección Osteológica de Aves comprende 2330 registros y es un subconjunto de la Colección de Vertebrados del IMEDEA (IMEDEA-VERT). El Dr. Josep Antoni Alcover fue quien impulsó su creación con la voluntad de obtener una colección osteológica de aves actuales de referencia. Los especímenes registrados son esqueletos completos o parciales, todos conservados en seco que provienen de diferentes fuentes: recolecciones, donaciones e intercambios. Muchos de los ejemplares han sido preparados en el IMEDEA por parte del equipo del Dr. Josep Antoni Alcover. Una gran parte de los registros contiene información geográfica que ha permitido georreferenciarlos a nivel de localidad, municipio, región o estado, según la información encontrada en las etiquetas. Fundamentalmente, la mayoría de los especímenes provienen de España, y en particular, de las Islas Baleares. Aun así, hay ejemplares que provienen de otros 35 estados, entre los cuales destacamos, por la abundancia de registros, Suecia y Portugal. La colección osteológica de Aves, que está actualmente en crecimiento, tiene un gran interés científico por el número y diversidad de especies representadas (415), las cuales pertenecen a 83 famílias diferentes.
description: [English] The Osteological Bird Collection comprises 2330 records and is a subset of the IMEDEA Vertebrate Collection (IMEDEA-VERT). Dr. Josep Antoni Alcover was the one who promoted his creation with the aim of obtaining an osteological collection of current reference birds. The recorded specimens are complete or partial skeletons, all preserved in dry form that come from different sources: collections, donations and exchanges. Many of the specimens have been prepared at IMEDEA by the team of Dr. Josep Antoni Alcover. A large part of the records contains geographic information that has allowed georeferencing at the level of locality, municipality, region or state, according to the information found on the labels. Fundamentally, most of the specimens come from Spain, and in particular from the Balearic Islands. Even so, there are specimens that come from other 36 states, of which we highlight those of Sweden and Portugal. The Bird osteological collection, currently growing, has a high scientific interest due to the number and diversity of represented species (415), belonging to 83 different families.
DOI: 10.34808/vr06-ab94
title: Top 10 Iran Import Partners in 2011

description: The leader in the supply of goods and services to Iran are the United Arab Emirates. As many as 32% of the total value of imports to Iran comes from this country. This was followed by China, South Korea and Germany. These four largest countries supplied  goods to Iran of nearly 72% of the total value of imports.
DOI: 10.34808/0ze9-r608
title: Top 10 Iran Export Goods in 2011

description: In the structure of Iranian exports the dominant position are different types of fuel (including chemical industry products). The structure of imports is much more fragmented. Positions worth of consideration are machinery and equipment, steel, vehicles parts, cereals and food.
DOI: 10.34808/h3yf-b220
title: Top 10 Iran Import Goods in 2011

description: The following dataset shows the volume of trade of the European Union countries with Iran. One can observe a significant drop in both imports and exports (the year 2012 meant tightening of sanctions, which clearly limited the import of Iranian products to the EU). After lifting the sanctions it is expected to substantially increase the level of trade in the next few years at least to the numbers of 2005, although according to many forecasts, historical levels should also be exceeded.
DOI: 10.6084/m9.figshare.14705796.v1
title: Fisher weevil data.zip from Social selection is density dependent but makes little contribution to total selection in New Zealand giraffe weevils

description: Social selection occurs when traits of interaction partners influence an individual's fitness and can alter total selection strength. However, we have little idea of what factors influence social selection's strength. Further, social selection only contributes to overall selection when there is phenotypic assortment, but simultaneous estimates of social selection and phenotypic assortment are rare. Here, we estimated social selection on body size in a wild population of New Zealand giraffe weevils (<i>Lasiorhynchus barbicornis</i>). We measured phenotypic assortment by body size and tested whether social selection varied with sex ratio, density and interacted with the body size of the focal individual. Social selection was limited and unaffected by sex ratio or the size of the focal individual. However, at high densities social selection was negative for both sexes, consistent with size-based competitive interactions for access to mates. Phenotypic assortment was always close to zero, indicating negative social selection at high densities will not impede the evolution of larger body sizes. Despite its predicted importance, social selection may only influence evolutionary change in specific contexts, leaving direct selection to drive evolutionary change.
DOI: 10.34808/wecj-rs23
title: Total Goods: EU Trade flows and balance with Iran, 2005-2015 (in millions of USD).

description: The following dataset shows the volume of trade of the European Union countries with Iran. One can observe a significant drop in both imports and exports (the year 2012 meant tightening of sanctions, which clearly limited the import of Iranian products to the EU). After lifting the sanctions it is expected to substantially increase the level of trade in the next few years at least to the numbers of 2005, although according to many forecasts, historical levels should also be exceeded.
DOI: 10.6084/m9.figshare.14705796
title: Fisher weevil data.zip from Social selection is density dependent but makes little contribution to total selection in New Zealand giraffe weevils

description: Social selection occurs when traits of interaction partners influence an individual's fitness and can alter total selection strength. However, we have little idea of what factors influence social selection's strength. Further, social selection only contributes to overall selection when there is phenotypic assortment, but simultaneous estimates of social selection and phenotypic assortment are rare. Here, we estimated social selection on body size in a wild population of New Zealand giraffe weevils (<i>Lasiorhynchus barbicornis</i>). We measured phenotypic assortment by body size and tested whether social selection varied with sex ratio, density and interacted with the body size of the focal individual. Social selection was limited and unaffected by sex ratio or the size of the focal individual. However, at high densities social selection was negative for both sexes, consistent with size-based competitive interactions for access to mates. Phenotypic assortment was always close to zero, indicating negative social selection at high densities will not impede the evolution of larger body sizes. Despite its predicted importance, social selection may only influence evolutionary change in specific contexts, leaving direct selection to drive evolutionary change.
DOI: 10.6084/m9.figshare.14705793
title: R code to reproduce analysis in manuscript from Social selection is density dependent but makes little contribution to total selection in New Zealand giraffe weevils

description: R code to reproduce analysis in manuscript. Uses the five csv files included in supplementary materials.
DOI: 10.34808/e899-ka25
title: Poland – Iran trade turnover annually in 2009-2014 (millions of USD)

description: In 2014, Polish exports to Iran was worth of 34.9 million EUR and imports 22.4 million (the trade turnover exceeded 57 million EUR). Year 2015 did not bring recovery in economic relations - the value of trade exchange exceeded only EUR 60 million. In comparison to 2011 when the total value of bilateral trade reached EUR 167 million.
DOI: 10.34808/fg0m-ws08
title: Nuts 51 (voj. dolnoslaskie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. dolnoslaskie (Poland, nuts 71).
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
3619
4393
2174
466
4859
2000
3793
4743
1467
454
5197
2001
3552
4395
1291
377
4772
2002
3242
3974
1400
393
4367
2003
2960
3544
1146
374
3918
2004
2987
3686
1161
371
4057
2005
3148
4088
1195
364
4452
2006
3030
3958
1145
344
4302
2007
3118
4344
1198
359
4703
2008
3003
4111
1205
363
4474
2009
2668
3646
870
294
3940
2010
2293
3097
810
241
3338
2011
2951
3954
889
258
4212
2012
3211
4263
969
238
4501
2013
2585
3384
976
223
3607
2014
2466
3154
1108
242
3396
2015
2280
2968
1077
185
3153
2016
2324
2907
1071
226
3133
2017
2183
2749
1009
219
2968
2018
2148
2674
971
203
2877
2019
1929
2275
913
215
2490
DOI: 10.34808/eznm-e248
title: Nuts 92 (mazowiecki regionalny region). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in mazowiecki regionalny region (Poland, nuts 92)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
2800
3451
1225
506
3957
2000
2978
3610
1261
487
4097
2001
2917
3803
1244
431
4234
2002
2919
3673
1152
498
4171
2003
2939
3755
1274
435
4190
2004
2778
3483
1259
454
3937
2005
3054
3897
1114
440
4337
2006
3081
3929
1003
439
4368
2007
3048
3821
1001
457
4278
2008
3142
3854
981
458
4312
2009
2818
3530
948
418
3948
2010
2448
3010
764
334
3344
2011
2441
2931
791
362
3293
2012
2080
2457
733
326
2783
2013
2082
2559
662
293
2852
2014
1990
2431
676
268
2699
2015
1848
2185
603
242
2427
2016
1974
2336
679
288
2624
2017
1899
2256
609
244
2500
2018
1888
2219
579
247
2466
2019
1826
2152
592
262
2414
DOI: 10.34808/3pvn-fv38
title: Nuts 91 (woj. warszawski - stoleczny). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in warszawski - stoleczny region (Poland, nuts 91)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
 
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
7268
8601
2297
1123
9724
2000
7627
9142
2391
994
10136
2001
7224
8887
2236
900
9787
2002
7224
8762
2258
1015
9777
2003
6805
8245
2171
905
9150
2004
6375
7752
2203
967
8719
2005
6452
7986
1982
885
8871
2006
6617
8181
1832
849
9030
2007
6888
8531
1876
958
9489
2008
6910
8394
1791
920
9314
2009
5762
7081
1650
786
7867
2010
5189
6338
1366
655
6993
2011
5133
6153
1459
712
6865
2012
4509
5384
1315
584
5968
2013
4579
5511
1284
562
6073
2014
4385
5211
1205
518
5729
2015
4006
4747
1032
487
5234
2016
4078
4878
1150
508
5386
2017
4048
4754
952
464
5218
2018
4034
4682
919
448
5130
2019
3802
4391
928
469
4860
DOI: 10.34808/8y2f-rk64
title: Nuts 84 (voj. podlaskie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. podlaskie (Poland, nuts 84)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
 
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
1621
2007
639
230
2237
2000
1538
1914
565
201
2115
2001
1407
1723
561
185
1908
2002
1452
1877
647
209
2086
2003
1361
1742
518
215
1957
2004
1226
1572
380
200
1772
2005
1185
1490
378
211
1701
2006
1135
1425
341
208
1633
2007
1162
1444
349
210
1654
2008
1136
1482
288
162
1644
2009
1041
1353
252
179
1532
2010
847
1125
164
146
1271
2011
816
1006
188
152
1158
2012
767
970
397
131
1101
2013
738
874
494
135
1009
2014
691
791
427
126
917
2015
690
864
426
118
982
2016
686
834
436
120
954
2017
693
802
393
114
916
2018
672
771
362
102
873
2019
585
620
315
106
726
DOI: 10.34808/4qne-ex53
title: Nuts 82 (voj. podkarpackie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. podkarpackie(Poland, nuts 82)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
 
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
2462
3078
1002
289
3367
2000
2336
2886
878
267
3153
2001
2294
2855
848
246
3101
2002
2250
2746
824
223
2969
2003
2229
2728
766
250
2978
2004
2380
3000
867
295
3295
2005
2244
2858
797
287
3145
2006
2223
2873
836
260
3133
2007
2278
3030
848
258
3288
2008
2356
3003
799
234
3237
2009
2173
2776
701
220
2996
2010
1963
2573
547
202
2775
2011
2104
2620
605
224
2844
2012
1801
2247
441
184
2431
2013
1807
2251
451
151
2402
2014
1751
2184
453
144
2328
2015
1703
2120
438
136
2256
2016
1682
2019
415
141
2160
2017
1710
2033
366
124
2157
2018
1480
1725
336
122
1847
2019
1481
1708
378
157
1865
DOI: 10.34808/aqyy-rh66
title: Nuts  63 (voj. pomorskie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. pomorskie (Poland, nuts 63)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
3299
4035
938
350
4385
2000
3513
4574
962
323
4897
2001
3569
4565
881
328
4893
2002
3682
4894
881
285
5179
2003
3262
4362
691
276
4638
2004
3214
4272
649
307
4579
2005
3063
4043
634
266
4309
2006
2750
3532
537
256
3788
2007
3060
4008
640
266
4274
2008
3199
4159
655
265
4424
2009
2848
3641
525
257
3898
2010
2659
3404
426
199
3603
2011
2910
3711
572
222
3933
2012
2763
3568
560
179
3747
2013
2641
3405
471
174
3579
2014
2724
3476
475
181
3657
2015
2675
3347
503
170
3517
2016
2725
3357
753
144
3501
2017
2608
3253
660
134
3387
2018
2504
3098
665
146
3244
2019
2297
2775
595
160
2935
DOI: 10.34808/6hs2-rm42
title: Nuts  62 (voj. warminsko-mazurskie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. warminsko-mazurskie (Poland, nuts 62)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
1868
2428
942
314
2742
2000
1985
2624
833
285
2909
2001
1849
2384
864
277
2661
2002
1787
2314
824
251
2565
2003
1907
2492
814
270
2762
2004
1997
2498
761
315
2813
2005
1936
2598
780
279
2877
2006
1645
2106
636
248
2354
2007
1962
2598
814
271
2869
2008
2241
2948
798
224
3172
2009
1817
2382
706
176
2558
2010
1725
2340
726
168
2508
2011
1648
2099
624
179
2278
2012
1606
2065
638
145
2210
2013
1621
1968
578
154
2122
2014
1644
2051
569
148
2199
2015
1535
1869
496
140
2009
2016
1627
2025
600
158
2183
2017
1455
1734
563
118
1852
2018
1281
1506
502
140
1646
2019
1218
1486
489
103
1589
DOI: 10.34808/h5sg-w157
title: Nuts  72 (voj. swietokrzyskie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. swietokrzyskie (Poland, nuts 72)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
2303
2877
887
299
3176
2000
2282
2806
815
263
3069
2001
2208
2855
808
220
3075
2002
2209
2708
826
292
3000
2003
2171
2719
753
242
2961
2004
2172
2813
797
221
3034
2005
1906
2580
769
227
2807
2006
1886
2340
694
221
2561
2007
1922
2442
666
261
2703
2008
1899
2358
683
240
2598
2009
1743
2274
642
176
2450
2010
1575
2018
534
197
2215
2011
1516
1855
524
179
2034
2012
1393
1713
451
136
1849
2013
1399
1727
401
143
1870
2014
1308
1621
430
130
1751
2015
1353
1676
407
108
1784
2016
1365
1724
364
107
1831
2017
1235
1529
397
115
1644
2018
1201
1450
406
127
1577
2019
1056
1241
344
131
1372
DOI: 10.34808/dvhr-qp72
title: Nuts 71 (voj. lodzkie). Number of accidents, injuries, seriously Injured and fatalities

description: The data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. lodzkie (Poland, nuts 71)
Source of data: Police Accident database SEWIK, Data has been processed by GUT.
Year
Accidents
Injuries
Seriously Injured
Fatalities
Victims
1999
3578
4368
1667
476
4844
2000
4735
5609
1880
507
6116
2001
4814
5901
1883
452
6353
2002
4630
5542
1744
509
6051
2003
4628
5562
1836
493
6055
2004
4826
5844
1916
440
6284
2005
4753
5753
1561
444
6197
2006
4554
5623
1481
415
6038
2007
4847
6053
1506
448
6501
2008
4773
5953
1310
439
6392
2009
4709
5958
1012
347
6305
2010
4156
5225
515
320
5545
2011
4266
5231
959
322
5553
2012
3903
4844
1182
295
5139
2013
3830
4733
1144
263
4996
2014
3986
4807
1291
256
5063
2015
3991
4826
1329
236
5062
2016
4222
5298
1426
214
5512
2017
3787
4750
1237
219
4969
2018
3759
4600
1239
229
4829
2019
3351
4047
1101
239
4286