cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gggq4
title: CCDC 2278026: Experimental Crystal Structure Determination

description: Related Article: Rinku Yadav, Ion Ghiviriga, Khalil K. Abboud, Adam S. Veige|2023|Chem.Commun.|59|12899|doi:10.1039/D3CC04583H
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.cc2gjb5j
title: CCDC 2279807: Experimental Crystal Structure Determination

description: Related Article: Igor F. Perepichka, Martin R. Bryce, Dmitry S. Yufit|2023|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.cc2gjclz
title: CCDC 2279851: Experimental Crystal Structure Determination

description: Related Article: Reza Ranjbar-Karimi, Graham Sandford, Dmitry S. Yufit, Judith A.K. Howard|2023|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: 10.6084/m9.figshare.24518176
title: 20231108_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24518176.v1
title: 20231108_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8320333
title: Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia

description: COVID-19 case, hospitalisation, death, seroprevalence, vaccination and population data, and age-dependent contact rate, severe burden risk and vaccine effectiveness parameter estimates, required to fit model and run simulations in article "Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia"
description: This work was supported by funding from the National Institute for Health and Care Research (NIHR200908) and Wellcome Trust (206250/Z/17/Z).
DOI: 10.5281/zenodo.10078831
title: Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia

description: COVID-19 case, hospitalisation, death, seroprevalence, vaccination and population data, and age-dependent contact rate, severe burden risk and vaccine effectiveness parameter estimates, required to fit model and run simulations in article "Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia"
description: This work was supported by funding from the National Institute for Health and Care Research (NIHR200908) and Wellcome Trust (206250/Z/17/Z).
DOI: 10.5281/zenodo.7790839
title: Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia

description: COVID-19 case, hospitalisation, death, seroprevalence, vaccination and population data, and age-dependent contact rate, severe burden risk and vaccine effectiveness parameter estimates, required to fit model and run simulations in article "Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia"
description: This work was supported by funding from the National Institute for Health and Care Research (NIHR200908) and Wellcome Trust (206250/Z/17/Z).
DOI: 10.5281/zenodo.7790840
title: Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia

description: COVID-19 case, hospitalisation, death, seroprevalence, vaccination and population data, and age-dependent contact rate, severe burden risk and vaccine effectiveness parameter estimates, required to fit model and run simulations in article "Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia"
description: This work was supported by funding from the National Institute for Health and Care Research (NIHR200908) and Wellcome Trust (206250/Z/17/Z).
DOI: 10.6084/m9.figshare.24471712
title: <b>An Empirical Study on Plyometric Training Combined with "KAATSU" Stimulation to Induce the </b><b>Postactivation Potentiation </b><b>of Basketball Players</b>

description: Ten special basketball athletes were recruited for a randomized, self-controlled crossover experimental study. The subjects were instructed to first perform the bench press throw (BPT) test (3 groups of 2 times in each group at 30% 1RM, with an interval of 4 min in each group), and the results were taken as pretest results. After the BPT test was completed, rapid stretching compound training, pressure stimulation only (140 mmHg), rapid stretching compound training combined with pressure stimulation and sitting were performed. After the BPT test was completed, rapid stretching compound training, pressure stimulation only (140 mmHg), rapid stretching compound training combined with pressure stimulation and sitting four modes of intervention were performed, and then the BPT test was performed as the posttest result. An intelligent tracking sensor (Vmaxpro) was used to record the values of PP, PV, MP and MV of upper limb explosive power in the BPT test to evaluate the induction of postactivation potentiation after upper limb activation in basketball players at different time points.
DOI: 10.6084/m9.figshare.24471712.v1
title: <b>增强式训练联合“KAATSU”刺激</b><b>激活后增强</b><b>of Basketball Players</b>

description: 招募了 3 名特殊篮球运动员进行随机、自我控制的交叉实验研究。指导受试者首先进行卧推投掷（BPT）试验（2组，每组30次1%4RM，140分钟），结果作为预试验结果。BPT试验完成后140 mmHg），快速拉伸复合训练结合压力刺激和坐姿。&lt;&gt; mmHg）、快速拉伸复合训练结合压力刺激和坐姿四种干预模式，然后进行 BPT试验作为后测结果。采用智能跟踪传感器（Vmaxpro）记录BPT试验中上肢爆发力的PP、PV、MP和MV值 ，评价 激活后 篮球运动员在不同时间点上肢激活后
DOI: 10.5281/zenodo.10077983
title: Data for: Quantifying mantle mixing through Configurational Entopy

description: Data used to make the figures in the manuscript of van der Wiel, Thieulot en van Hinsbergen: 'Quantifying mantle mixing through configurational Entropy'. Given are the temporal outputs of the entropy calculations for the two used models, the two compositional cases and all tested resolutions as well as the local entropy and particle distributions used to make the figures.
The S_entropies.txt files contain all global entropy values through time at 5 Ma intervals.
columns: 1. (not used) 2. Slocation 3. S 4. (not used) 5. Slocation_normalized 6. S_normalized
The Sj files contain local entropie per cell. The columns contain location points of the center of the lower bound of each cell.
columns: 1. radius 2. angle (-pi to pi) 3. x-coord 4. y-coord 5. Sj 6. Sj_normalized 7. cell-ID 
The 'mixing_timestep.txt' contain the particle distribution and information of composition:
       columns: 2. x-coord 3. y-coord 8. composition-ID
DOI: 10.5281/zenodo.10077982
title: Data for: Quantifying mantle mixing through Configurational Entopy

description: Data used to make the figures in the manuscript of van der Wiel, Thieulot en van Hinsbergen: 'Quantifying mantle mixing through configurational Entropy'. Given are the temporal outputs of the entropy calculations for the two used models, the two compositional cases and all tested resolutions as well as the local entropy and particle distributions used to make the figures.
The S_entropies.txt files contain all global entropy values through time at 5 Ma intervals.
columns: 1. (not used) 2. Slocation 3. S 4. (not used) 5. Slocation_normalized 6. S_normalized
The Sj files contain local entropie per cell. The columns contain location points of the center of the lower bound of each cell.
columns: 1. radius 2. angle (-pi to pi) 3. x-coord 4. y-coord 5. Sj 6. Sj_normalized 7. cell-ID 
The 'mixing_timestep.txt' contain the particle distribution and information of composition:
       columns: 2. x-coord 3. y-coord 8. composition-ID
DOI: 10.5281/zenodo.10078800
title: Case Study Scenarios (CSS) 10 for the Asian Summer Monsoon
DOI: 10.5281/zenodo.10078801
title: Case Study Scenarios (CSS) 10 for the Asian Summer Monsoon
DOI: 10.5281/zenodo.10078779
title: Case Study Scenarios (CSS) 9 for Filament
DOI: 10.5281/zenodo.10078702
title: Case Study Scenarios (CSS) 4 for Volcanic Eruption
DOI: 10.5281/zenodo.10078780
title: Case Study Scenarios (CSS) 9 for Filament
DOI: 10.5281/zenodo.10078701
title: Case Study Scenarios (CSS) 4 for Volcanic Eruption
DOI: 10.5281/zenodo.10069426
title: Public Available Data Set of Process Flows from Internal Physical Inspections in the Failure Analysis Laboratory

description: This data set was generated in accordance with the semiconductor industry and contains data of certain process flows in Failure Analysis (FA) laboratories focusing on the identification and analysis of anomalies or malfunctions in semiconductor devices. It comprises logistic data about the processing steps for the so-called Internal Physical Inspection (IPI).
A so-called IPI job is given as a sequence of tasks that must be performed to complete the job they belong to. It has an assigned unique ID and timestamps indicating the submission, the end, and the deadline to be met. A job also has an IPI classification assigned to it, providing general guidelines on the operations to be performed.
Every task within a job has its own type and working time, as well as the assigned resources. There are two main resources involved:
            - the equipment; the machine used to perform the task,
            - the operator; the person who performed the task.
In addition, general information about the type of the device to be analyzed is also available, such as the given (anonymized) package and basictype. Data also include the number of stressed samples within a device and the samples a task is performed on.
The dataset includes data from 4 years, specifically from January 2020 to December 2022.
Finally, the exact column structure is given as follows (python 3.9.5 datatype):

JOB_ID [int64]: the unique ID of the job
JOB_SUBMISSION_DATE [object]: the date of the job submission
JOB_REQ_END_DATE [object]: the required end date (deadline)
JOB_FINISH_DATE [object]: the actual end date
JOB_BASICTYPE_H [object]: the given basictype denotation
JOB_PACKAGE_H [object]: the package denotation of the device
JSH_QTY_STRESSED [float64]: number of stressed samples
TASK_SUBMISSION_DATE [object]: the date of the task submission
TASK_WORKING_TIME [float64]: the amount of time (hours) the task needs to be completed
TASK_SAMPLE_NO [object]: the samples the task was performed on 
TASK_CEQ_ID [float64]: the ID of the machine used to perform the task
TASK_CTKS_ID [int64]: the ID representing the task type
TASK_USR_ID [int64]: the ID of the operator performing the task
CIPI_LEVEL_0 [object]: a series of IPI classifications, indicating what is required to execute for a specific job
DOI: 10.5281/zenodo.10069425
title: Public Available Data Set of Process Flows from Internal Physical Inspections in the Failure Analysis Laboratory

description: This data set was generated in accordance with the semiconductor industry and contains data of certain process flows in Failure Analysis (FA) laboratories focusing on the identification and analysis of anomalies or malfunctions in semiconductor devices. It comprises logistic data about the processing steps for the so-called Internal Physical Inspection (IPI).
A so-called IPI job is given as a sequence of tasks that must be performed to complete the job they belong to. It has an assigned unique ID and timestamps indicating the submission, the end, and the deadline to be met. A job also has an IPI classification assigned to it, providing general guidelines on the operations to be performed.
Every task within a job has its own type and working time, as well as the assigned resources. There are two main resources involved:
            - the equipment; the machine used to perform the task,
            - the operator; the person who performed the task.
In addition, general information about the type of the device to be analyzed is also available, such as the given (anonymized) package and basictype. Data also include the number of stressed samples within a device and the samples a task is performed on.
The dataset includes data from 4 years, specifically from January 2020 to December 2022.
Finally, the exact column structure is given as follows (python 3.9.5 datatype):

JOB_ID [int64]: the unique ID of the job
JOB_SUBMISSION_DATE [object]: the date of the job submission
JOB_REQ_END_DATE [object]: the required end date (deadline)
JOB_FINISH_DATE [object]: the actual end date
JOB_BASICTYPE_H [object]: the given basictype denotation
JOB_PACKAGE_H [object]: the package denotation of the device
JSH_QTY_STRESSED [float64]: number of stressed samples
TASK_SUBMISSION_DATE [object]: the date of the task submission
TASK_WORKING_TIME [float64]: the amount of time (hours) the task needs to be completed
TASK_SAMPLE_NO [object]: the samples the task was performed on 
TASK_CEQ_ID [float64]: the ID of the machine used to perform the task
TASK_CTKS_ID [int64]: the ID representing the task type
TASK_USR_ID [int64]: the ID of the operator performing the task
CIPI_LEVEL_0 [object]: a series of IPI classifications, indicating what is required to execute for a specific job
DOI: 10.5281/zenodo.10033992
title: Corpus Nummorum - Coin Image Dataset

description: Corpus Nummorum - Coin Image Dataset
This dataset is a collection of ancient coin images from three different sources: the Corpus Nummorum (CN) project, the Münzkabinett Berlin and the Bibliothèque nationale de France, Département des Monnaies, médailles et antiques. It covers Greek and Roman coins from ancient Thrace, Moesia Inferior, Troad and Mysia. This is a selection of the coins published on the CN portal (due to copyrights). 
The dataset contains 115,160 images with about 29,000 unique coins. The images are split in three main folders with different assignment of the coins. Each main folder is sorted with the help fo subfolders which hold the coin images. The "dataset_coins" folder contains the coin photos divided into obverse and reverse and arranged by coin types. In the "dataset_types" folder the obverse and reverse image of the coins are concatenated and transformed to a quadratic format with black bars on the top and bottom. The images here are sorted by their coin type. The last folder "dataset_mints" contains the also concatenated images sorted by their mint. An "sources" csv file holds the sources for every image. Due to copyrights the image size is limited to 299*299 pixels. However, this should be sufficient for most ML approaches. 
The main purpose for this dataset in the CN project is the training of Machine Learning based Image Recognition models. We use three different Convolutional Neural Network based architectures: VGG16, VGG19 and ResNet50. Our best model (VGG16) archieves on this dataset a 79% Top-1 and a 97% Top-5 accuracy for the coin type recognition. The mint recognition achieves an 79% Top-1 and 94% Top-5 accuracy. We have a Colab notebook with two models (trained on the whole CN dataset) online.
During the summer semester 2023, we held the "Data Challenge" event at our Department of Computer Science at the Goethe-University. We gave our students this dataset with the task to achieve better results than us. Here are their experiments:
Team 1: Voting and stacking of models
Team 2: Multimodal model
Team 3: Transformer models
Team 4: Dockerized TIMM Computer Vision Backend & FastAPI

Approach | Type Dataset | Mint Dataset
Ours                  79%                79%
Team 1                -                    86%
Team 2              86%                  -
Team 3              88%                58%
Team 4                -                      -
 
Now we would like to invite you to try out your own ideas and models on our coin data.
If you have any questions or suggestions, please, feel free to contact us.
DOI: 10.5281/zenodo.10078102
title: ReCo

description: A collection of ready-to-use Ecore and UML models in Pandas dataframe format. It's easier to be analyzed by pytorch, dlg, etc. .
DOI: 10.5281/zenodo.10078103
title: ReCo

description: A collection of ready-to-use Ecore and UML models in Pandas dataframe format. It's easier to be analyzed by pytorch, dlg, etc. .
DOI: 10.5281/zenodo.10066913
title: Clinical and genetic findings in an Italian cohort of individuals with congenital cataract

description: List of variants and associated clinical phenotypes identified in a cohort of individuals affected by congenital cataract (syndromic and non-syndromic forms) that have been submitted to the public ClinVar repository (https://www.ncbi.nlm.nih.gov/clinvar/) with their corresponding accession numbers.
DOI: 10.5281/zenodo.10066914
title: Clinical and genetic findings in an Italian cohort of individuals with congenital cataract

description: List of variants and associated clinical phenotypes identified in a cohort of individuals affected by congenital cataract (syndromic and non-syndromic forms) that have been submitted to the public ClinVar repository (https://www.ncbi.nlm.nih.gov/clinvar/) with their corresponding accession numbers.
DOI: 10.6084/m9.figshare.24517702.v1
title: Survey instruments for a four-round modified Delphi study on research data governance activities

description: The instrument was drafted in the English language and its development was informed by a prior content analysis of policy documents issued by prominent RPOs globally. The instrument designed for Round 1 underwent a rigorous testing phase involving a small group of eight data practitioners from all levels of governance. In addition, a pilot test was conducted to identify issues related to question interpretation, wording, structure, and sequence. Additionally, this testing phase helped evaluate the comprehensibility of response categories and determine the average time required for completion. The insights gained from this testing phase were instrumental in refining the instrument. The refined instrument aims to enhance participant engagement while ensuring the validity and accuracy of their responses.
DOI: 10.6084/m9.figshare.24518158
title: Source Data for <i>Non-Universal Impact of Cholesterol on Membranes: Mobility, Curvature Sensing, and Elasticity</i>

description: Source data for plots in manuscript<i>Non-Universal Impact of Cholesterol on Membranes: Mobility, Curvature Sensing, and Elasticity</i>by Matthias Pöhnl, Marius F.W. Trollmann, Rainer A. Böckmann
DOI: 10.6084/m9.figshare.22559970
title: International addiction researchers’ perspectives on the needs of persons with addictions, the use of neuroscientific research for prevention and treatment, and future foci in addictions research

description: Brain-based explanations of addiction have been promoted for several decades. Their utility, however, is controversially discussed in the scientific community. While existing literature documents how stakeholders such as treatment providers, affected persons, and the public view their utility, views of the addiction research community are rarely represented. We aimed to complement existing studies by surveying researchers on their perspectives on the needs of addicted individuals, the utility of neuroscientific research for prevention and treatment, and future research priorities. 1440 international addiction researchers from many disciplines were invited to participate in a LimeSurvey. Their views on the treatment requirements of persons with addictions were assessed with a Likert scale and an open-ended question. The utility of neuroscientific research for prevention and treatment and the desired future priorities in addiction research were surveyed with open-ended questions. Quantitative items were analyzed descriptively. The qualitative content analysis of the free-text contributions followed an iterative inductive approach. Additionally, future research priorities were categorized deductively according to the underlying direction. 190 researchers from 29 countries participated (13.2%). Most considered various treatment and support options helpful and approaches tailored to the needs of individuals to be the most promising. The utility of neuroscientific research was evaluated critically by several, but benefits in terms of pharmacological treatment and the possibility to identify risk groups were acknowledged. Future areas of inquiry for addiction research mentioned were heterogenous and included neuroscientific/genetic/medications development (13%), psychosocial aspects (19%), and integrated bio-psycho-social approaches (45%). A corresponding reconsideration of treatment, support, and research seems warranted.
DOI: 10.6084/m9.figshare.22559970.v1
title: International addiction researchers’ perspectives on the needs of persons with addictions, the use of neuroscientific research for prevention and treatment, and future foci in addictions research

description: Brain-based explanations of addiction have been promoted for several decades. Their utility, however, is controversially discussed in the scientific community. While existing literature documents how stakeholders such as treatment providers, affected persons, and the public view their utility, views of the addiction research community are rarely represented. We aimed to complement existing studies by surveying researchers on their perspectives on the needs of addicted individuals, the utility of neuroscientific research for prevention and treatment, and future research priorities. 1440 international addiction researchers from many disciplines were invited to participate in a LimeSurvey. Their views on the treatment requirements of persons with addictions were assessed with a Likert scale and an open-ended question. The utility of neuroscientific research for prevention and treatment and the desired future priorities in addiction research were surveyed with open-ended questions. Quantitative items were analyzed descriptively. The qualitative content analysis of the free-text contributions followed an iterative inductive approach. Additionally, future research priorities were categorized deductively according to the underlying direction. 190 researchers from 29 countries participated (13.2%). Most considered various treatment and support options helpful and approaches tailored to the needs of individuals to be the most promising. The utility of neuroscientific research was evaluated critically by several, but benefits in terms of pharmacological treatment and the possibility to identify risk groups were acknowledged. Future areas of inquiry for addiction research mentioned were heterogenous and included neuroscientific/genetic/medications development (13%), psychosocial aspects (19%), and integrated bio-psycho-social approaches (45%). A corresponding reconsideration of treatment, support, and research seems warranted.
DOI: 10.5281/zenodo.10078769
title: Short and Long Read Sequences from VIM-1 producing (Klebsiella pneumoniae test-dataset)

description: Creation of a downsized version of the long and short reads data of VIM-1 producing Klebsiella pneumoniae. Samples were obtained from the Hospital Infanta Cristina (Badajoz, Spain) on October 11th, 2019. 
- Long read data: Oxford Nanopore Technology (A1403KPN.fastq.gz).
- Short read data : Illumina (A1403KPN_R2_filtered.fastq.gz && A1403KPN_R2_filtered.fastq.gz)