cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7086626
title: Example of data for 01 Knapsack problem

description: <strong>ks01</strong> is a set of 42 weights and profits for a knapsack of capacity 120. ks01_c.txt, the knapsack capacity. ks01_w.txt, the weights of the objects. ks01_p.txt, the profits of each object. ks01_s.txt, the optimal selection of weights.
DOI: 10.6084/m9.figshare.21133657
title: asclepias_incarnata_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21133657.v1
title: asclepias_incarnata_zanfona_1.fasta.gz

description: .......
DOI: 10.5517/ccdc.csd.cc24yvyx
title: CCDC 1994910: Experimental Crystal Structure Determination

description: Related Article: xu zhang|2022|CSD Communication|||
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.cc27mkct
title: CCDC 2074376: Experimental Crystal Structure Determination

description: Related Article: Jinhua Wang, Barbara Wicher, Alejandro Méndez-Ardoy, Xuesong Li, Gilles Pecastaings, Thierry Buffeteau, Dario M. Bassani, Victor Maurizot, Ivan Huc|2021|Angew.Chem.,Int.Ed.|60|18461|doi:10.1002/anie.202104734
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.cc2cycyn
title: CCDC 2202982: Experimental Crystal Structure Determination

description: Related Article: Stephanie Rolvering, Roland Fröhlich, Constantin G. Fröhlich, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cydd4
title: CCDC 2202996: Experimental Crystal Structure Determination

description: Related Article: Stephanie Rolvering, Roland Fröhlich, Constantin G. Daniliuc, Hans J.Schäfer|2022|CSD Communication|||
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.cc2cyfvm
title: CCDC 2203041: Experimental Crystal Structure Determination

description: Related Article: P. Q. Nguyen, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cygf7
title: CCDC 2203059: Experimental Crystal Structure Determination

description: Related Article: Christian Reufer, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyh94
title: CCDC 2203086: Experimental Crystal Structure Determination

description: Related Article: Martin Wendker, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyl0y
title: CCDC 2203170: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
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.cc2cynff
title: CCDC 2203245: Experimental Crystal Structure Determination

description: Related Article: Daniel Witthaut, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyp89
title: CCDC 2203271: Experimental Crystal Structure Determination

description: Related Article: Jan Friese, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cypjk
title: CCDC 2203279: Experimental Crystal Structure Determination

description: Related Article: Daniel Witthaut, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyr7b
title: CCDC 2203332: Experimental Crystal Structure Determination

description: Related Article: Christian Reufer, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyrcg
title: CCDC 2203336: Experimental Crystal Structure Determination

description: Related Article: Claudia Zielinski, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyrnr
title: CCDC 2203345: Experimental Crystal Structure Determination

description: Related Article: Daniel Witthaut, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyrsw
title: CCDC 2203349: Experimental Crystal Structure Determination

description: Related Article: Jan Friese, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cysy2
title: CCDC 2203385: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
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.cc2cyvx3
title: CCDC 2203446: Experimental Crystal Structure Determination

description: Related Article: Daniel Witthaut, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyw6f
title: CCDC 2203455: Experimental Crystal Structure Determination

description: Related Article: Christian Reufer, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyx6g
title: CCDC 2203486: Experimental Crystal Structure Determination

description: Related Article: Bernd Koop, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyxpy
title: CCDC 2203501: Experimental Crystal Structure Determination

description: Related Article: Jens Heimann, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyxqz
title: CCDC 2203502: Experimental Crystal Structure Determination

description: Related Article: Daniel Witthaut, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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.cc2cyybm
title: CCDC 2203521: Experimental Crystal Structure Determination

description: Related Article: Phu Qui, Nguyen, Roland Fröhlich, Constantin G. Daniliuc, Hans J. Schäfer|2022|CSD Communication|||
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: 10.5066/p92mdh2h
title: Surface time for sea turtles in the Gulf of Mexico, 2010-2019

description: This dataset contains surface dive times, defined as 0-2 m in the water column, for three species of sea turtles (Kemp's ridleys, loggerheads, and green turtles) tracked via satellite telemetry in the Gulf of Mexico during periods within 2010-2019. It contains information on turtle species, location, proportion of time in "surface" bins, region of the Gulf of Mexico, corresponding remotely-sensed variables at specific locations/times (i.e., sea surface temperature, sea surface temperature anomalies, salinity, current direction, sea surface height), depth, and distance to shore. This dataset thus allows estimation of time each turtle spent at the surface in various sites in the Gulf of Mexico.
DOI: 10.5066/p9r9dndo
title: USGS National and Global Oil and Gas Assessment Project-Paleozoic Petroleum Systems of Central European Basin System: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

description: This data release contains the boundaries of assessment units, assessment input data tables and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the Paleozoic petroleum systems of the Central European Basin System. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Machine-readable tables are provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.6084/m9.figshare.20895400.v1
title: 1034_concatenation.rar

description: A combined alignment matrix of 1034 low-copy nuclear genes
DOI: 10.6084/m9.figshare.21135832.v1
title: Fuirst_et_al_RSPB_Lifetime_Fitness_Data.csv

description: Dataset used to test the effects of early-life social status on lifetime reproductive success.
DOI: 10.5281/zenodo.4127038
title: History of Communication Research Bibliography BibTeX library

description: The History of Communication Research Bibliography BibTeX library, hosted by the Annenberg School for Communication Library Archives at the University of Pennsylvania, and maintained by Jeff Pooley. Minor updates
DOI: 10.17632/g3jc26frtm.1
title: Clinical course, diagnostic patterns, and treatment outcomes in patients with pityriasis rubra pilaris

description: Tables for Research Letter submission to JAAD: Clinical course, diagnostic patterns, and treatment outcomes in patients with pityriasis rubra pilaris
DOI: 10.17632/g3jc26frtm.2
title: Clinical course, diagnostic patterns, and treatment outcomes in patients with pityriasis rubra pilaris

description: Tables for Research Letter submission to JAAD: Clinical course, diagnostic patterns, and treatment outcomes in patients with pityriasis rubra pilaris
DOI: 10.17632/khc74863b6.1
title: Comparison of quality of life indicators 

description: Comparison of quality of life indicators in patients with cicatricial strictures of the extrahepatic bile ducts and biliodigestive anastomoses according to the SF-36 questionnaire in the long-term period.
DOI: 10.17632/pk44mkx9vm.1
title: halfFace: A face covering mask dataset of South Asian people

description: halfFace is a dataset that contains facial images of both masked and unmasked images of South Asian people (166 participants). This is a combination of 3 different datasets which include full face, upper face, and augmented upper face images so that it can be used for person identification from both masked and unmasked images and detecting unmasked person. The participants were fully informed about the usage of the dataset and an approval was taken from them for further usage of this data while collecting data from them.


Method
Images of the dataset were captured in participant’s environment, and using participant’s smart phone camera. Hence, this dataset contains the diversity of devices. This images were then collected by the authors. Then, three different datasets were developed from the images. In the dataset-1, only facial part was kept using a pretrained CNN model, and it was not divided into train-test images. The facial images of masked and unmasked images can be easily identified by naming convention. In dataset-2, we have excluded the covered face portion by using  YOLOV3. So, images of dataset-2 contains only upper part of the face (hair, forehead, eyes, and upper portion of nose), and it was further divided into training-testing parts. As models require a huge amount of data to train, we have increased the number of training images using augmentation method by adjusting brightness, blur, contrast, saturation, gaussian noise, and salt and pepper noise. This has made the dataset-3 even more diverse and noisy which is essential in building robust models.

Usage Notes
Dataset-1 : Full face images
Datset-2: Upper face without augmentation (divided into train-test)
Dataset-3: Upper face with augmentation of training part, testing images were same as dataset-2
Naming convention:
Folders: P_XXX where XXX is the identification of participants.
Images of dataset-1 and dataset-2: pXXX_(0/1)(0/1/2)(m/f) 
Here, pXXX is the person identification number. First (0/1) means unmasked (0) or masked(1). (0/1/2) means the image is front facing(0)/ left facing (1), right facing (2). (m/f) denotes the gender of the participant.
Images of dataset-3: pXXX_(0/1)(0/1/2)(m/f)_(b/blur/c/GN/s/SPN)
Here, pXXX is the person identification number. First (0/1) means unmasked (0) or masked(1). (0/1/2) means the image is front facing(0)/ left facing (1), right facing (2). (m/f) denotes the gender of the participant. “b/blur/c/GN/s/SPN” means change of brightness (b), blur (blur), contrast (c), gaussian noise (GN), saturation (s), Salt and Pepper noise (SPN).
DOI: 10.17632/pk44mkx9vm.2
title: halfFace: A face covering mask dataset of South Asian people

description: halfFace is a dataset that contains facial images of both masked and unmasked images of South Asian people (166 participants). This is a combination of 3 different datasets which include full face, upper face, and augmented upper face images so that it can be used for person identification from both masked and unmasked images and detecting unmasked person. The participants were fully informed about the usage of the dataset and an approval was taken from them for further usage of this data while collecting data from them.


Method
Images of the dataset were captured in participant’s environment, and using participant’s smart phone camera. Hence, this dataset contains the diversity of devices. This images were then collected by the authors. Then, three different datasets were developed from the images. In the dataset-1, only facial part was kept using a pretrained CNN model, and it was not divided into train-test images. The facial images of masked and unmasked images can be easily identified by naming convention. In dataset-2, we have excluded the covered face portion by using  YOLOV3. So, images of dataset-2 contains only upper part of the face (hair, forehead, eyes, and upper portion of nose), and it was further divided into training-testing parts. As models require a huge amount of data to train, we have increased the number of training images using augmentation method by adjusting brightness, blur, contrast, saturation, gaussian noise, and salt and pepper noise. This has made the dataset-3 even more diverse and noisy which is essential in building robust models.

Usage Notes
Dataset-1 : Full face images
Datset-2: Upper face without augmentation (divided into train-test)
Dataset-3: Upper face with augmentation of training part, testing images were same as dataset-2
Naming convention:
Folders: P_XXX where XXX is the identification of participants.
Images of dataset-1 and dataset-2: pXXX_(0/1)(0/1/2)(m/f) 
Here, pXXX is the person identification number. First (0/1) means unmasked (0) or masked(1). (0/1/2) means the image is front facing(0)/ left facing (1), right facing (2). (m/f) denotes the gender of the participant.
Images of dataset-3: pXXX_(0/1)(0/1/2)(m/f)_(b/blur/c/GN/s/SPN)
Here, pXXX is the person identification number. First (0/1) means unmasked (0) or masked(1). (0/1/2) means the image is front facing(0)/ left facing (1), right facing (2). (m/f) denotes the gender of the participant. “b/blur/c/GN/s/SPN” means change of brightness (b), blur (blur), contrast (c), gaussian noise (GN), saturation (s), Salt and Pepper noise (SPN).
DOI: 10.17632/mfgxrhmm8w.1
title: Typhoon-induced suspended sediment dynamics in the mouth-bar region of a river/wave-dominated estuary

description: The database includes 4 parts: the statistical observation results of 2 near bottom observation stations; The time series of windspeed and direction at Macau station, collected from the National Centers for Environmental Information, (https://www.ncei.noaa.gov/); The calculated results of bottom shear stress and sediment carrying capacity based on the near bottom observation (the mean value).
DOI: 10.17632/m2krtc45bt.1
title: Water chemistry dataset for upper Changjiang River

description: Water chemistry dataset for upper Changjiang River
DOI: 10.17632/b4ngkrn592.1
title: data

description: Distribution, traditional use, chemical composition and pharmacological description of the genus Alstonia