cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7054331
title: Fully Calculated Samples for Discrete Manufacturing Simulation Environment

description: This dataset is a MySQL file and contains fully calculated samples for different baseline situations: <br> Env-Version ammountOfCarriers uncertainty onlyForTraining quantity 1 4 1 0 10000 1 4 1 1 90786 1 4 3 0 10000 1 4 3 1 92254 1 6 1 0 20000 1 6 1 1 210000 1 6 3 0 20000 1 6 3 1 214000 1 7 3 1 30000 1 8 3 1 34188 1 9 3 1 30000 1 10 3 1 34000 1 12 3 1 3272 2 4 1 0 10000 2 4 1 1 94791 2 4 3 0 10000 2 4 3 1 100000 2 6 1 0 10000 2 6 1 1 90423 2 6 3 0 10000 2 6 3 1 249154 How do you use the files?<br> You need a MySQL instance on your computer (e.g. via XAMPP). If you do not already have one, create a database there with the name: "rlskipping". The command for this is: CREATE DATABASE IF NOT EXISTS rlskipping; On Windows: 1) Open a new CMD-Shell.<br> 2) Navigate to the path where the sql file is located.<br> (e.g.: cd C:\Users\MrScience\Desktop\Work\myProject\Paper\SQL)<br> 3) Import the Files.<br> (e.g.: mysql -u root -p rlskipping &lt; evaluierung.sql)<br> (e.g.: mysql -u root -p rlskipping &lt; calculatedsamples.sql)
DOI: 10.5281/zenodo.7054332
title: Fully Calculated Samples for Discrete Manufacturing Simulation Environment

description: This dataset is a MySQL file and contains fully calculated samples for different baseline situations: <br> Env-Version ammountOfCarriers uncertainty onlyForTraining quantity 1 4 1 0 10000 1 4 1 1 90786 1 4 3 0 10000 1 4 3 1 92254 1 6 1 0 20000 1 6 1 1 210000 1 6 3 0 20000 1 6 3 1 214000 1 7 3 1 30000 1 8 3 1 34188 1 9 3 1 30000 1 10 3 1 34000 1 12 3 1 3272 2 4 1 0 10000 2 4 1 1 94791 2 4 3 0 10000 2 4 3 1 100000 2 6 1 0 10000 2 6 1 1 90423 2 6 3 0 10000 2 6 3 1 249154 How do you use the files?<br> You need a MySQL instance on your computer (e.g. via XAMPP). If you do not already have one, create a database there with the name: "rlskipping". The command for this is: CREATE DATABASE IF NOT EXISTS rlskipping; On Windows: 1) Open a new CMD-Shell.<br> 2) Navigate to the path where the sql file is located.<br> (e.g.: cd C:\Users\MrScience\Desktop\Work\myProject\Paper\SQL)<br> 3) Import the Files.<br> (e.g.: mysql -u root -p rlskipping &lt; evaluierung.sql)<br> (e.g.: mysql -u root -p rlskipping &lt; calculatedsamples.sql)
DOI: 10.21227/qwz6-sd32
title: China 264 sample cities AQI, CO and NO2 and O3, PM10 and PM2.5, SO2 data set

description: 中国幅员辽阔，不同地区空气质量条件不同。 该数据库选择中国264个主要城市的空气质量作为研究对象。来自中华人民共和国生态环境部（http://www.mee.gov.cn/），中国空气质量在线监测分析平台 https://www.aqistudy.cn/historydata/ 2018-2021年264个城市每小时AQI和CO，NO2和O3，PM10和PM2.5，六个SO2污染物项目的每小时监测浓度数据（除CO为mg / m3，其他单位为ug / m3）平均每天24个1小时数据以获得每日污染物物品浓度指数和每日空气质量指数。2018年至2021年264个城市的七种每日数据集均被用作该研究的数据样本。
DOI: 10.7284/147959
title: Multiplexed data collected during research cruise AE2113 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147960
title: Multiplexed data collected during research cruise AE2113 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147961
title: Multiplexed data collected during research cruise AE2113 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147962
title: Multiplexed data collected during research cruise AE2113 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147333
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AE2113 using a Hawaii UHDAS instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149361
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AE2113 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34740/kaggle/dsv/4176832
title: synthetic-croissants-vs-donuts
DOI: 10.15129/5f1cdedf-1bb3-49c3-9085-b41db49b85af
title: Data for: "Construction and evaluation of an optical medium voltage transducer module aimed at a 132 kV optical voltage sensor for WAMPAC systems"

description: The files in this dataset were created during testing of a novel optical voltage sensor for medium voltage (MV) and/or high voltage (HV) network applications. The results of the sensor performance were obtained by means of laboratory testing and compared to the requirements of IEC 60044-7 and IEC 61869-11.
DOI: 10.6084/m9.figshare.21065470.v1
title: conuropsis_carolinensis_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.21065470
title: conuropsis_carolinensis_zanfona_1.fasta.gz

description: .....
DOI: 10.34740/kaggle/dsv/4177790
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.19754713
title: Financial evaluation of value-creating biosimilar development candidates: a business case study of low-, medium- and high-sales biosimilars

description: Selection of a biosimilar development candidate requires detailed and careful analysis to ensure value creation. We applied the net present value (NPV) model for financial evaluation of biosimilar development candidates for the global market. Biosimilar development candidates from three categories were identified based on the global sales of their respective original biological products (OBPs): &gt;$1 and ≤$4 billion, &gt;$4 and ≤$7 billion and &gt;$7 and ≤$10 billion. The standard NPV and risk-adjusted NPV (rNPV) were calculated under the base-case and various scenarios related to development costs, sales, selling, general and administrative expense, cost of goods sold, and discount rates. A biosimilar to an OBP with sales of $1.6 billion has some financial risk. Biosimilars to OBPs with sales of $5.5 billion and $9.4 billion have very less financial risk under the base-case scenario of analysis. Sales of an OBP had impact on the financial valuation and attractiveness of a biosimilar. Sensitivity of rNPV to different parameters varied for three biosimilars. Discount rates, sales and development costs were important parameters affecting financial valuation of biosimilars. Biosimilar development candidate selection requires a thorough financial evaluation considering product-, company- and market-specific aspects.
DOI: 10.6084/m9.figshare.19754713.v1
title: Financial evaluation of value-creating biosimilar development candidates: a business case study of low-, medium- and high-sales biosimilars

description: Selection of a biosimilar development candidate requires detailed and careful analysis to ensure value creation. We applied the net present value (NPV) model for financial evaluation of biosimilar development candidates for the global market. Biosimilar development candidates from three categories were identified based on the global sales of their respective original biological products (OBPs): &gt;$1 and ≤$4 billion, &gt;$4 and ≤$7 billion and &gt;$7 and ≤$10 billion. The standard NPV and risk-adjusted NPV (rNPV) were calculated under the base-case and various scenarios related to development costs, sales, selling, general and administrative expense, cost of goods sold, and discount rates. A biosimilar to an OBP with sales of $1.6 billion has some financial risk. Biosimilars to OBPs with sales of $5.5 billion and $9.4 billion have very less financial risk under the base-case scenario of analysis. Sales of an OBP had impact on the financial valuation and attractiveness of a biosimilar. Sensitivity of rNPV to different parameters varied for three biosimilars. Discount rates, sales and development costs were important parameters affecting financial valuation of biosimilars. Biosimilar development candidate selection requires a thorough financial evaluation considering product-, company- and market-specific aspects.
DOI: 10.6084/m9.figshare.19651220
title: Assessing the value contribution of bimekizumab for the treatment of moderate-to-severe psoriasis using a multidisciplinary reflective multi-criteria decision analysis

description: Multi-criteria decision analysis (MCDA) was proposed to surmount arbitrary clinical decisions in the field of biological therapies for psoriatic patients. At the same time, MCDA may further highlight the potential of bimekizumab for the treatment of moderate-to-severe psoriasis, compared to placebo, adalimumab, ustekinumab, secukinumab, and even ixekizumab and risankizumab. The EVIDEM framework was adapted to reflect relevant criteria for the assessment. Estimated values were obtained by means of an additive linear model combining weights and scores assigned by a multidisciplinary committee of 12 experts. Consistency and replicability were evaluated through an alternative weighting method and a re-test. Bimekizumab was assessed by the committee as an intervention with a positive value contribution for the treatment of moderate-to-severe psoriasis in comparison to any of the alternatives. The drug provides a substantial therapeutical benefits and improves the health results reported by the patients, as it combines a higher level of clearance, rapidity, and persistence with a similar safety and tolerability profile. Under a methodology with increasing use in the health field, bimekizumab was evaluated as a drug with a high added value for the treatment of moderate-to-severe psoriasis when compared to six different alternatives.
DOI: 10.6084/m9.figshare.19651220.v1
title: Assessing the value contribution of bimekizumab for the treatment of moderate-to-severe psoriasis using a multidisciplinary reflective multi-criteria decision analysis

description: Multi-criteria decision analysis (MCDA) was proposed to surmount arbitrary clinical decisions in the field of biological therapies for psoriatic patients. At the same time, MCDA may further highlight the potential of bimekizumab for the treatment of moderate-to-severe psoriasis, compared to placebo, adalimumab, ustekinumab, secukinumab, and even ixekizumab and risankizumab. The EVIDEM framework was adapted to reflect relevant criteria for the assessment. Estimated values were obtained by means of an additive linear model combining weights and scores assigned by a multidisciplinary committee of 12 experts. Consistency and replicability were evaluated through an alternative weighting method and a re-test. Bimekizumab was assessed by the committee as an intervention with a positive value contribution for the treatment of moderate-to-severe psoriasis in comparison to any of the alternatives. The drug provides a substantial therapeutical benefits and improves the health results reported by the patients, as it combines a higher level of clearance, rapidity, and persistence with a similar safety and tolerability profile. Under a methodology with increasing use in the health field, bimekizumab was evaluated as a drug with a high added value for the treatment of moderate-to-severe psoriasis when compared to six different alternatives.
DOI: 10.15129/10404f32-af01-4ccb-9904-810a6ebf1e28
title: Data for: "Design of an optical sensor with varied sensitivities for overhead line sag, temperature and vibration monitoring"

description: The files in this dataset were created during designing a novel optical sag, temperature, and vibration sensor to implement overhead line (OHL) dynamic rating and health monitoring in electrical power networks. The results of the expected sensor performance were obtained by means of simulations and finite element analysis.
DOI: 10.5281/zenodo.6703088
title: iNat-Anim

description: <strong>iNat-Anim Dataset</strong> iNat-Anim (iNaturalist + Animalia) is a multi-modal few-shot image classification benchmark. It consists of 195,605 images across 673 species from an array of animal classes. The images are taken as a subset of the images from the iNaturalist 2021 CVPR challenge [1] and are augmented with descriptions of each species from animalia.bio, an online animal encyclopedia (gathered March 2021). The descriptions are typically short and qualitatively more pertinent with respect to visual characteristics than generic species descriptions (e.g. Wikipedia). While the raw images are included, embeddings for all images have been precomputed with a ResNet-152 model [2], allowing for efficient classifier training. Separately, we include cropped and downsampled (128x128) copies of the images, ideal for fast data exploration. Directory structure: <em>images/[id]_[class]/</em>: Animal images of species `class`. <em>inat_anim.json</em>: Natural language class descriptions and image metadata. <em>image_embeddings_resnet-152.hdf5</em>: Precomputed ResNet-152 [2] image embeddings for all images. [1] Grant Van Horn and Oisin Mac Aodha. 2021. iNat Challenge 2021. https://sites.google.com/view/fgvc8/competitions/inatchallenge2021?authuser=0 [2] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep residual learning for image recognition. In _2016 IEEE Conference on Computer Vision and Pattern Recognition_, pages 770–778.
DOI: 10.5281/zenodo.6703087
title: iNat-Anim

description: <strong>iNat-Anim Dataset</strong> iNat-Anim (iNaturalist + Animalia) is a multi-modal few-shot image classification benchmark. It consists of 195,605 images across 673 species from an array of animal classes. The images are taken as a subset of the images from the iNaturalist 2021 CVPR challenge [1] and are augmented with descriptions of each species from animalia.bio, an online animal encyclopedia (gathered March 2021). The descriptions are typically short and qualitatively more pertinent with respect to visual characteristics than generic species descriptions (e.g. Wikipedia). While the raw images are included, embeddings for all images have been precomputed with a ResNet-152 model [2], allowing for efficient classifier training. Separately, we include cropped and downsampled (128x128) copies of the images, ideal for fast data exploration. Directory structure: <em>images/[id]_[class]/</em>: Animal images of species `class`. <em>inat_anim.json</em>: Natural language class descriptions and image metadata. <em>image_embeddings_resnet-152.hdf5</em>: Precomputed ResNet-152 [2] image embeddings for all images. [1] Grant Van Horn and Oisin Mac Aodha. 2021. iNat Challenge 2021. https://sites.google.com/view/fgvc8/competitions/inatchallenge2021?authuser=0 [2] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep residual learning for image recognition. In _2016 IEEE Conference on Computer Vision and Pattern Recognition_, pages 770–778.
DOI: 10.6084/m9.figshare.20449140.v1
title: ofc-learning-choosing-paper-files

description: Value Representation in the Rodent Orbitofrontal Cortex Drive Learning, not Choice <br> Kevin J. Miller, Matthew M. Botvinick, and Carlos D. Brody <br> Datasets and figure panels associated with the paper
DOI: 10.5281/zenodo.7061842
title: SciExpeM - 10.5281/zenodo.7061842

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061841
title: SciExpeM - 10.5281/zenodo.7061842

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061844
title: SciExpeM - 10.5281/zenodo.7061844

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061843
title: SciExpeM - 10.5281/zenodo.7061844

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.34740/kaggle/dsv/4177836
title: CIC-DoHBrw2020
DOI: 10.6084/m9.figshare.5813877.v2
title: Carbocupration of heterosubstituted alkynes

description: Inputs and outputs
DOI: 10.17043/hallberg-2022-sumatra-1
title: Lipid biomarker glycerol dialkyl glycerol tetraether (GDGT) distributions from soils, peats and lake sediments on Sumatra
DOI: 10.7284/144886
title: Multiplexed data collected during research cruise AE2102 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144887
title: Multiplexed data collected during research cruise AE2102 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144888
title: Multiplexed data collected during research cruise AE2102 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144890
title: Multiplexed data collected during research cruise AE2102 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144885
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AE2102 using a Hawaii UHDAS instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144889
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AE2102 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23708/rwdmn9
title: Stakeholders’ mental models about the Makay region, Madagascar

description: This dataset includes the mental models (in a matrix format) of 32 informants regarding the Makay region in Madagascar who were interviewed in 2019. For each individual informants, two files are available: (i) the raw mental model as elicited during the interview (in French) and (ii) the standardized mental model after homogenization across informants and translation into English. A notice is provided with all the variables used in the model and their associated codes. More information on the protocol and mental models' standardization is available in the associated publication. - Only anonymous data is provided. - Data does not include any sensitive information. - Participants provided verbal consent, which was documented by audio recording. - For all CSV files included in the dataset, columns/fields are separated by semi-colon character (;)
DOI: 10.25403/upresearchdata.20391363
title: Input and output data of economic order quantity (EOQ) models for deteriorating items

description: The datasets presented shows input and output parameters for the two EOQ models developed on the study. The method used in selecting these numerical values is through optimality/optimisation conditions as established in the dissertation. Sensitity analysis was performed to check the effectivenes of the selected values on the model results. Tables 4 and 19 present selected numerical values used to run the model while tables 4 and 20 present results generated from running the two models.
DOI: 10.25403/upresearchdata.20391363.v1
title: Input and output data of economic order quantity (EOQ) models for deteriorating items

description: The datasets presented shows input and output parameters for the two EOQ models developed on the study. The method used in selecting these numerical values is through optimality/optimisation conditions as established in the dissertation. Sensitity analysis was performed to check the effectivenes of the selected values on the model results. Tables 4 and 19 present selected numerical values used to run the model while tables 4 and 20 present results generated from running the two models.
DOI: 10.7284/145078
title: Multiplexed data collected during research cruise AE2103 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145079
title: Multiplexed data collected during research cruise AE2103 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145080
title: Multiplexed data collected during research cruise AE2103 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145082
title: Multiplexed data collected during research cruise AE2103 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145077
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AE2103 using a Hawaii UHDAS instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145081
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AE2103 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.7061953
title: SciExpeM - 10.5281/zenodo.7061953

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061952
title: SciExpeM - 10.5281/zenodo.7061953

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061957
title: SciExpeM - 10.5281/zenodo.7061957

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061956
title: SciExpeM - 10.5281/zenodo.7061957

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061959
title: SciExpeM - 10.5281/zenodo.7061959

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061958
title: SciExpeM - 10.5281/zenodo.7061959

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061961
title: SciExpeM - 10.5281/zenodo.7061961

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061960
title: SciExpeM - 10.5281/zenodo.7061961

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.34740/kaggle/dsv/4177973
title: synthetic-croissants-vs-donuts
DOI: 10.5281/zenodo.7061963
title: SciExpeM - 10.5281/zenodo.7061963

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061962
title: SciExpeM - 10.5281/zenodo.7061963

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061965
title: SciExpeM - 10.5281/zenodo.7061965

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061964
title: SciExpeM - 10.5281/zenodo.7061965

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061967
title: SciExpeM - 10.5281/zenodo.7061967

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061966
title: SciExpeM - 10.5281/zenodo.7061967

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031
DOI: 10.5281/zenodo.7061969
title: SciExpeM - 10.5281/zenodo.7061969

description: Saxena, Saumitra; Kahandawala, M.S.P.; Sidhu, Sukh S. - Combustion And Flame, 2011, (158), 1019-1031