cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3963473
title: Gene expression counts from fibroblast, strand-specific, BCM UDN

description: <strong>File description:</strong> Gene-level counts using the gtf file from the release 34 of GENCODE https://www.gencodegenes.org/human/release_34 Split counts spanning from one exon to another using an annotation-free algorithm, therefore capturing new splice sites Non-split counts covering exon-intron boundaries Sample annotation describing each sample from the dataset Description file with global information from the dataset <strong>Use: </strong>The count matrices are intended to help researchers that are interested in using RNA-Seq data with the purpose of diagnostics. Researchers can merge their own dataset with the downloaded ones, provided the tissue, genome build, strand, and paired end specifications match. Afterwards, the DROP pipeline can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). <strong>Maintainer: </strong>Vicente A. Yépez, yepez@in.tum.de <strong>URL:</strong> https://github.com/gagneurlab/drop/<br> <strong>Title</strong>: BCM UDN Fibroblast<br> <strong>Number of samples</strong>: 139<br> <strong>Tissue</strong>: Fibroblast<br> <strong>Organism</strong>: Homo sapiens<br> <strong>Genome assembly:</strong> hg19<br> <strong>Gene annotation</strong>: gencode34<br> <strong>Disease (ICD-10: N)</strong>: : D17: 1, D84: 12, E34: 2, G82: 1, H57: 3, K92: 3, M25: 18, NONE: 35, Q02: 1, Q20: 5, Q33: 2, Q89: 12, R62: 44<br> <strong>Strand specific</strong>: TRUE<br> <strong>Paired end</strong>: TRUE<br> <strong>Protocol</strong>: poly(A) enrichment<br> <strong>Dataset contact</strong>: David Murdock, david.murdock@bcm.edu <strong>Citation:</strong> Cite both the resource using Zenodo's citation and the publication under References
description: {"references": ["Murdock, D. R. et al. Transcriptome-directed analysis for Mendelian disease diagnosis overcomes limitations of conventional genomic testing. JCI 131, e141500 (2021)."]}
DOI: 10.25574/06579
title: Chandra X-ray Observatory ObsId 6579

description: Relativistic emission-line or warm absorber in GRS 1915+105
DOI: 10.25574/06580
title: Chandra X-ray Observatory ObsId 6580

description: Relativistic emission-line or warm absorber in GRS 1915+105
DOI: 10.25574/06581
title: Chandra X-ray Observatory ObsId 6581

description: Relativistic emission-line or warm absorber in GRS 1915+105
DOI: 10.25574/06601
title: Chandra X-ray Observatory ObsId 6601

description: CHANDRA OBSERVATIONS OF THE WIND FROM CYGNUS X-3 FROM CYGNUS X-3
DOI: 10.25574/06613
title: Chandra X-ray Observatory ObsId 6613

description: INVESTIGATING NEW INTEGRAL SOURCES WITH CHANDRA
DOI: 10.25574/06615
title: Chandra X-ray Observatory ObsId 6615

description: Relativistic Effects and Outflows in a Black Hole Transient
DOI: 10.25574/06617
title: Chandra X-ray Observatory ObsId 6617

description: Relativistic Effects and Outflows in a Black Hole Transient
DOI: 10.25574/06618
title: Chandra X-ray Observatory ObsId 6618

description: Relativistic Effects and Outflows in a Black Hole Transient
DOI: 10.25574/06623
title: Chandra X-ray Observatory ObsId 6623

description: Precise Localization of Neutron Star Soft X-Ray Transients
DOI: 10.25574/06624
title: Chandra X-ray Observatory ObsId 6624

description: Precise Localization of Neutron Star Soft X-Ray Transients
DOI: 10.25574/06627
title: Chandra X-ray Observatory ObsId 6627

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06628
title: Chandra X-ray Observatory ObsId 6628

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06629
title: Chandra X-ray Observatory ObsId 6629

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06630
title: Chandra X-ray Observatory ObsId 6630

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06631
title: Chandra X-ray Observatory ObsId 6631

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06632
title: Chandra X-ray Observatory ObsId 6632

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06633
title: Chandra X-ray Observatory ObsId 6633

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06634
title: Chandra X-ray Observatory ObsId 6634

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06635
title: Chandra X-ray Observatory ObsId 6635

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06636
title: Chandra X-ray Observatory ObsId 6636

description: CHAZSS: The Chandra HETGS Atoll/Z Spectroscopic Survey
DOI: 10.25574/06647
title: Chandra X-ray Observatory ObsId 6647

description: Return to the Clocked Burster GS 1826-238
DOI: 10.25574/06648
title: Chandra X-ray Observatory ObsId 6648

description: Return to the Clocked Burster GS 1826-238
DOI: 10.25574/06656
title: Chandra X-ray Observatory ObsId 6656

description: Precision X-ray timing and imaging of the young and energetic pulsar PSR J1357-6429
DOI: 10.5517/ccdc.csd.cc2bbqfv
title: CCDC 2155257: Experimental Crystal Structure Determination

description: Related Article: Neha Sharma Prabhakar, Saurabh Kumar, Prince Kumar Gupta, Krishna Nand Singh|2022|J.Org.Chem.|87|11112|doi:10.1021/acs.joc.2c01353
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bnjr9
title: CCDC 2164691: Experimental Crystal Structure Determination

description: Related Article: Xiaoman Li, Jiawei Huang, Liang Xu, Ping Liu, Yu Wei|2022|J.Org.Chem.|87|10684|doi:10.1021/acs.joc.2c00880
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bzpxy
title: CCDC 2174461: Experimental Crystal Structure Determination

description: Related Article: Yue Zhou, Yang-Lu Zhang, Qian Zhang, Shun-Yi Yang, Xiao-Qin Wei, Zhengfang Tian, Dong Shao|2022|Polyhedron|225|116078|doi:10.1016/j.poly.2022.116078
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c93ph
title: CCDC 2183506: Experimental Crystal Structure Determination

description: Related Article: Xiaoman Li, Jiawei Huang, Liang Xu, Ping Liu, Yu Wei|2022|J.Org.Chem.|87|10684|doi:10.1021/acs.joc.2c00880
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2804xc
title: CCDC 2085522: Experimental Crystal Structure Determination

description: Related Article: Urszula Maciołek, Ewaryst Mendyk, Daniel M. Kamiński, Maciej Dranka, Liliana Mazur, Anna Kuźniar, Jan Kalembkiewicz, Anna E. Kozioł|2022|Polyhedron|226|116083|doi:10.1016/j.poly.2022.116083
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25574/06709
title: Chandra X-ray Observatory ObsId 6709

description: ToO Observations of Soft Gamma Repeaters
DOI: 10.25574/06710
title: Chandra X-ray Observatory ObsId 6710

description: ToO Observations of Soft Gamma Repeaters
DOI: 10.25574/06722
title: Chandra X-ray Observatory ObsId 6722

description: High-Resolution Soft X-ray Spectroscopy of a Gamma-ray Burst X-ray Afterglow
DOI: 10.25574/06723
title: Chandra X-ray Observatory ObsId 6723

description: TINY HICCUPS TO TITANIC EXPLOSIONS: Tackling Transients in Anomalous X-ray Pulsars
DOI: 10.25574/06724
title: Chandra X-ray Observatory ObsId 6724

description: TINY HICCUPS TO TITANIC EXPLOSIONS: Tackling Transients in Anomalous X-ray Pulsars
DOI: 10.25574/06725
title: Chandra X-ray Observatory ObsId 6725

description: TINY HICCUPS TO TITANIC EXPLOSIONS: Tackling Transients in Anomalous X-ray Pulsars
DOI: 10.25574/06726
title: Chandra X-ray Observatory ObsId 6726

description: TINY HICCUPS TO TITANIC EXPLOSIONS: Tackling Transients in Anomalous X-ray Pulsars
DOI: 10.25574/06733
title: Chandra X-ray Observatory ObsId 6733

description: THE X-RAY SPECTRAL AND OPTICAL/IR FLUX VARIABILITY IN MAGNETARS
DOI: 10.25574/06734
title: Chandra X-ray Observatory ObsId 6734

description: THE X-RAY SPECTRAL AND OPTICAL/IR FLUX VARIABILITY IN MAGNETARS
DOI: 10.25574/06735
title: Chandra X-ray Observatory ObsId 6735

description: THE X-RAY SPECTRAL AND OPTICAL/IR FLUX VARIABILITY IN MAGNETARS
DOI: 10.25574/06736
title: Chandra X-ray Observatory ObsId 6736

description: THE X-RAY SPECTRAL AND OPTICAL/IR FLUX VARIABILITY IN MAGNETARS
DOI: 10.25574/06743
title: Chandra X-ray Observatory ObsId 6743

description: AO7 Observations of the Standard Candles Cas A and G21.5-09
DOI: 10.6084/m9.figshare.20589888
title: Supplemental Table 1

description: Data quality assessment for each participant. Individual energy functional of sclera, cornea and lens as determined by normal gradient matching averaged over all acquired bSSFP scans.
DOI: 10.6084/m9.figshare.20589888.v1
title: Supplemental Table 1

description: Data quality assessment for each participant. Individual energy functional of sclera, cornea and lens as determined by normal gradient matching averaged over all acquired bSSFP scans.
DOI: 10.5281/zenodo.6598714
title: Raw Data to "Theoretical Study on the Photoacidity of Hydroxypyrene Derivatives in DMSO Using ADC(2) and CC2"

description: This data is a supplement to the publication entitled "Theoretical Study on the Photoacidity of Hydroxypyrene Derivatives in DMSO Using ADC(2) and CC2" in the The Journal of Physical Chemistry A (DOI: 10.1021/acs.jpca.2c04436). It contains the structures (as '.xyz' files) and HF/DFT energies from the quantum chemical (QC) calculations using TURBOMOLE (version 7.4). Additional information on the file structure is given in the README file.
DOI: 10.17632/f4z52vty6v.1
title: RAD51 PROTECTS HUMAN CELLS FROM TRANSCRIPTION-REPLICATION CONFLICTS

description: Bhowmick et al. 2022, Molecular cell
DOI: 10.17632/jmj8sgrjwf.1
title: Data for: “Information transparency, location, and stakeholder pressure on the socially responsible partner selection” published by RAC-Revista de Administração Contemporânea

description: Data sets, vignettes and instruments for “Information transparency, location, and stakeholder pressure on the socially responsible partner selection” published by RAC-Revista de Administração Contemporânea.
DOI: 10.17632/rrjv728cmj.1
title: An extensible RatSlam C++ library: The xRatSLam 

description: libxratslam
An extensible RatSlam C++ library.

The xRatSLam library implements the Simultaneous Location and Mapping (SLAM) algorithm called RatSlam inspired by neural rodents knowing dynamics while performing self localization tasks.

This is a simple readme file to remember basic usage.
If you have questions, mail me: mesmunoz@gmail.com

Note
Current code works only under Unix based systems.
DOI: 10.17632/7tx8hx37gd.1
title: Deep Learning for Accurate Prediction of Physical Properties of Heterogeneous Digital Rocks

description: Digital rock physics (DRP), an approach to predicting physical properties of porous media based on images, has been utilized in various fields, such as geosciences, environmental engineering, and civil engineering. Accurate prediction of physical properties in DRP depends on high-resolution (HR) and large-view 3D images. However, it is of great difficulty to obtain such images since current imaging techniques strike a balance between the image resolution and field of view. Moreover, few HR 2D SEM images are only available in real scenarios, and these HR images are not matched with low-resolution (LR) CT images. To alleviate these issues, we proposed a hybrid unsupervised deep learning method (FastGAN-CycleGAN) to fuse multiscale structure information from HR 2D SEM images for reconstructing HR and large-scale 3D images based on a few unpaired training images. The generated HR 3D images not only keep the morphological features of minerals and pores but also resolve the microstructures and fine details which are nonexistent in original LR images. The comparison reveals the physical properties of the reconstructed HR 3D images by deep learning are closer to the experimental data than the LR images and HR images from bicubic interpolation. The study opens a new avenue for construction of the multiscale HR porous media, characterization of complex rocks and accurate prediction of physical properties.
DOI: 10.17632/jg7hkcg6gc.1
title: Carbohydrate intake and the risk of stroke: dose-response meta-analysis of cohort studies

description: The results of dose-response meta-analysis of cohort studies on carbohydrate intake and the risk of stroke
DOI: 10.17632/8m5n462gcv.1
title: Metabotyping the Welsh population of badgers based on thoracic blood

description: Metabotyping the Welsh population of badgers based on thoracic blood

Scott Baumann J, Pizzey R, Beckmann M., Villarreal-Ramos B., King J., Hopkins B., Rooke D., Hewinson G., Mur L

Methods: 
The badgers involved in this study where collected dead on the side of the road as part of an ongoing surveillance study by Welsh Government and the Animal Plant Health Agency (APHA), the All Wales Badger Found Dead study (AWBFD study). Badgers reported by members of the public are collected and brought to a laboratory where they are deemed appropriate for post-mortem (PM) if they are intact, not distended with gas, with no severe myiasis and have not been frozen. Carcasses spend no more than four days in cold storage before PM. PM involves an external examination; including, weighing, measuring, sexing, approximate aging based on dental wear, and checking for lactation if female. Badgers were scanned for microchips as well as clipping of guard hairs or any colour marker to indicate historical trapping and vaccination. Any signs of external injury, bite wounds, illegal trapping or snaring are also noted. Internal examination focussed on identification of any gross lesions and sampling of tissues for mycobacterial culture. Detailed examination is made of the pericardial sac, lungs, liver and kidneys including internally by making several, longitudinal incisions across each. Each lymph node is incised at least once and two pools of samples material are created. Pool one contains retropharyngeal, bronchial lymph nodes, mediastinal and hepatic lymph nodes. Pool two contains a section of any bite wound or any internal visible lesions suggestive of tuberculosis. All badgers designated as bTB positive were done so based solely on the results of culture.   For this study only culture negative badger blood samples were used.
All samples were processed for metabolomics in a blinded manner. 200 L of each sample were added to 1520 L of 4:1 (v/v) mix of MeOH:chloroform (HPLC grade) and 50 mg of acetone-washed glass beads (< 160 g, Sigma, UK). These were vortexed, shaken (15 min at 4 °C), left to settle (-80 °C for 20 min), then centrifuged (1800 × g for 10 min). 100 L  of the supernatant was transferred to a glass vial with glass insert, sample injection order was randomised to reduce batch effects and run on an ExactiveTM Orbitrap Mass Spectrometer (Thermo Scientific) as described in Baptista et al. (2018).
DOI: 10.17632/58ph43s6h4.1
title: Instances for the Berth Allocation Problem in Tidal Bulk ports with Inventory control (BAPTBI)

description: Set of problem instances in the format: 
instancia.nnN.bbB.ppP.dddD

where nn= number of ships, bb = number of berths, pp = number of raw matters, ddd = density of raw matter per ship (25% = only one raw matter, 100% = 4 different raw matter per ship)

The instance file is formatted as (Commented example)

data;
set N := 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15;     *** SHIP SET
set K := Material1 Material2 Material3 Material4 Material5;  *** RAW MATTER SET
set L := 1 2 3 4; *** BERTH SET
param Mares := 115;  *** DISCRETE PLANNING HORIZON IN TERMS OF NUMBER OF TIDE AVAILABLE
param v :=  *** BERTH THROUGHPUT 
1 25
2 10
3 20
4 10;
param d :=  *** DEMURRAGE RATE
1 4000
2 3000
3 3000
4 1000
5 6000
6 3000
7 1000
8 6000
9 5000
10 2000
11 1000
12 4000
13 2000
14 2000
15 3000;
param a :=  *** ETA 
1 52
2 37
3 10
4 24
5 42
6 36
7 14
8 35
9 42
10 22
11 28
12 27
13 49
14 55
15 29;
param e :=  *** INITTIAL AMOUNT IN THE INVENTORY
Material1 80.00
Material2 60.00
Material3 70.00
Material4 60.00
Material5 60.00;
param ck :=  *** PRODUCTION OR CONSUMPTION  DEPENDING ON EXPORT OR IMPORT PORT
Material1 3.00
Material2 4.00
Material3 2.00
Material4 1.00
Material5 1.00;
param spin :=
Material1 -1
Material2 -1
Material3 -1
Material4 -1
Material5 -1;
param q : Material1 Material2 Material3 Material4 Material5 :=  *** RAM MATTER PER SHIP
1 80.00 56.00 72.00 60.00 59.00
2 83.00 64.00 68.00 61.00 60.00
3 80.00 60.00 70.00 59.00 60.00
4 83.00 64.00 72.00 61.00 61.00
5 77.00 56.00 70.00 61.00 60.00
6 83.00 56.00 72.00 59.00 59.00
7 77.00 64.00 68.00 61.00 61.00
8 80.00 56.00 68.00 61.00 59.00
9 77.00 64.00 72.00 61.00 60.00
10 77.00 64.00 72.00 60.00 61.00
11 80.00 60.00 68.00 61.00 61.00
12 83.00 60.00 70.00 60.00 59.00
13 83.00 64.00 68.00 60.00 60.00
14 83.00 64.00 72.00 61.00 60.00
15 83.00 56.00 70.00 60.00 60.00;
end;
DOI: 10.17632/58ph43s6h4.2
title: Instances for the Berth Allocation Problem in Tidal Bulk ports with Inventory control (BAPTBI)

description: Set of problem instances in the format: 
instancia.nnN.bbB.ppP.dddD

where nn= number of ships, bb = number of berths, pp = number of raw matters, ddd = density of raw matter per ship (25% = only one raw matter, 100% = 4 different raw matter per ship)

The instance file is formatted as (Commented example)

data;
set N := 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15;     *** SHIP SET
set K := Material1 Material2 Material3 Material4 Material5;  *** RAW MATTER SET
set L := 1 2 3 4; *** BERTH SET
param Mares := 115;  *** DISCRETE PLANNING HORIZON IN TERMS OF NUMBER OF TIDE AVAILABLE
param v :=  *** BERTH THROUGHPUT 
1 25
2 10
3 20
4 10;
param d :=  *** DEMURRAGE RATE
1 4000
2 3000
3 3000
4 1000
5 6000
6 3000
7 1000
8 6000
9 5000
10 2000
11 1000
12 4000
13 2000
14 2000
15 3000;
param a :=  *** ETA 
1 52
2 37
3 10
4 24
5 42
6 36
7 14
8 35
9 42
10 22
11 28
12 27
13 49
14 55
15 29;
param e :=  *** INITTIAL AMOUNT IN THE INVENTORY
Material1 80.00
Material2 60.00
Material3 70.00
Material4 60.00
Material5 60.00;
param ck :=  *** PRODUCTION OR CONSUMPTION  DEPENDING ON EXPORT OR IMPORT PORT
Material1 3.00
Material2 4.00
Material3 2.00
Material4 1.00
Material5 1.00;
param spin :=
Material1 -1
Material2 -1
Material3 -1
Material4 -1
Material5 -1;
param q : Material1 Material2 Material3 Material4 Material5 :=  *** RAM MATTER PER SHIP
1 80.00 56.00 72.00 60.00 59.00
2 83.00 64.00 68.00 61.00 60.00
3 80.00 60.00 70.00 59.00 60.00
4 83.00 64.00 72.00 61.00 61.00
5 77.00 56.00 70.00 61.00 60.00
6 83.00 56.00 72.00 59.00 59.00
7 77.00 64.00 68.00 61.00 61.00
8 80.00 56.00 68.00 61.00 59.00
9 77.00 64.00 72.00 61.00 60.00
10 77.00 64.00 72.00 60.00 61.00
11 80.00 60.00 68.00 61.00 61.00
12 83.00 60.00 70.00 60.00 59.00
13 83.00 64.00 68.00 60.00 60.00
14 83.00 64.00 72.00 61.00 60.00
15 83.00 56.00 70.00 60.00 60.00;
end;
DOI: 10.17632/58ph43s6h4.3
title: Instances for the Berth Allocation Problem in Tidal Bulk ports with Inventory control (BAPTBI)

description: Set of problem instances in the format: 
instancia.nnN.bbB.ppP.dddD

where nn= number of ships, bb = number of berths, pp = number of raw matters, ddd = density of raw matter per ship (25% = only one raw matter, 100% = 4 different raw matter per ship)

The instance file is formatted as (Commented example)

data;
set N := 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15;     *** SHIP SET
set K := Material1 Material2 Material3 Material4 Material5;  *** RAW MATTER SET
set L := 1 2 3 4; *** BERTH SET
param Mares := 115;  *** DISCRETE PLANNING HORIZON IN TERMS OF NUMBER OF TIDE AVAILABLE
param v :=  *** BERTH THROUGHPUT 
1 25
2 10
3 20
4 10;
param d :=  *** DEMURRAGE RATE
1 4000
2 3000
3 3000
4 1000
5 6000
6 3000
7 1000
8 6000
9 5000
10 2000
11 1000
12 4000
13 2000
14 2000
15 3000;
param a :=  *** ETA 
1 52
2 37
3 10
4 24
5 42
6 36
7 14
8 35
9 42
10 22
11 28
12 27
13 49
14 55
15 29;
param e :=  *** INITTIAL AMOUNT IN THE INVENTORY
Material1 80.00
Material2 60.00
Material3 70.00
Material4 60.00
Material5 60.00;
param ck :=  *** PRODUCTION OR CONSUMPTION  DEPENDING ON EXPORT OR IMPORT PORT
Material1 3.00
Material2 4.00
Material3 2.00
Material4 1.00
Material5 1.00;
param spin :=
Material1 -1
Material2 -1
Material3 -1
Material4 -1
Material5 -1;
param q : Material1 Material2 Material3 Material4 Material5 :=  *** RAM MATTER PER SHIP
1 80.00 56.00 72.00 60.00 59.00
2 83.00 64.00 68.00 61.00 60.00
3 80.00 60.00 70.00 59.00 60.00
4 83.00 64.00 72.00 61.00 61.00
5 77.00 56.00 70.00 61.00 60.00
6 83.00 56.00 72.00 59.00 59.00
7 77.00 64.00 68.00 61.00 61.00
8 80.00 56.00 68.00 61.00 59.00
9 77.00 64.00 72.00 61.00 60.00
10 77.00 64.00 72.00 60.00 61.00
11 80.00 60.00 68.00 61.00 61.00
12 83.00 60.00 70.00 60.00 59.00
13 83.00 64.00 68.00 60.00 60.00
14 83.00 64.00 72.00 61.00 60.00
15 83.00 56.00 70.00 60.00 60.00;
end;
DOI: 10.17632/334ngczgbc.1
title: Racial and ethnic differences in hospital admissions for cellulitis in the United States: A cross-sectional analysis

description: Supplement  for:
Zheng, NS,  Shung DL, Kerby EH. "Racial and ethnic differences in hospital admissions for cellulitis in the United States: A cross-sectional analysis." J Am Acad Dermatol. 2022.
DOI: 10.17632/s3cn7sfhyy.2
title: Supplementary Dataset for Review Paper: Effects of personality on assessments of anxiety and cognition

description: Supplementary Dataset to be used with Supplementary Materials S2 (Review Paper: Effects of personality on assessments of anxiety and cognition)
DOI: 10.17632/s3cn7sfhyy.1
title: Supplementary Dataset for Review Paper: Effects of personality on assessments of anxiety and cognition

description: Supplementary Dataset to be used with Supplementary Materials S2 
Review Paper: Effects of personality on assessments of anxiety and cognition
DOI: 10.17632/s3cn7sfhyy.3
title: Supplementary Dataset for Review Paper: Effects of personality on assessments of anxiety and cognition

description: Supplementary Dataset to be used with Supplementary Materials S2 (Review Paper: Effects of personality on assessments of anxiety and cognition)
DOI: 10.17632/ksnnytmv62.1
title: Multi-Resolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and Empirical Data

description: Data for each figure. Plotting programs are also included.
DOI: 10.17632/ksnnytmv62.2
title: Multi-Resolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and an Empirical Data

description: Data for each figure. Plotting programs are also included.