cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10360748
title: Assessment of social aspects across Europe resulting from the insertion of technologies for nutrient recovery and recycling in agriculture (Data Sets)
DOI: 10.5281/zenodo.10360747
title: Assessment of social aspects across Europe resulting from the insertion of technologies for nutrient recovery and recycling in agriculture (Data Sets)
DOI: 10.6084/m9.figshare.24792699
title: Data Reproduksi Survei Lalu Lintas pada Manual Kapasitas Jalan Indonesia 1997

description: Data Reproduksi Hubungan Kecepatan dan Arus Lalu Lintas pada Manual Kapasitas Jalan Indonesia 1997
DOI: 10.6084/m9.figshare.24792699.v1
title: Data Reproduksi Survei Lalu Lintas pada Manual Kapasitas Jalan Indonesia 1997

description: Data Reproduksi Hubungan Kecepatan dan Arus Lalu Lintas pada Manual Kapasitas Jalan Indonesia 1997
DOI: 10.25413/sun.24762522.v1
title: Probing the nature of interactions in molecular materials using high-pressure single-crystal X-ray diffraction

description: Crystallographic data files for structures presented in PhD dissertation. These files were generated from the single-crystal structures of the various compounds studied using high-pressure single-crystal X-ray diffraction. For detailed description please see associated PhD dissertation, specifically Chapter 3.
DOI: 10.25413/sun.24762522
title: Probing the nature of interactions in molecular materials using high-pressure single-crystal X-ray diffraction

description: Crystallographic data files for structures presented in PhD dissertation. These files were generated from the single-crystal structures of the various compounds studied using high-pressure single-crystal X-ray diffraction. For detailed description please see associated PhD dissertation, specifically Chapter 3.
DOI: 10.5281/zenodo.10360627
title: Observational data and processing results
DOI: 10.5281/zenodo.10360628
title: Observational data and processing results
DOI: 10.6084/m9.figshare.24792714
title: New data-9.19.docx

description: Hydrochemical properties and multi-isotopic characteristics of karst water and pore water samples from Jinci in 2018
DOI: 10.6084/m9.figshare.24792714.v1
title: New data-9.19.docx

description: Hydrochemical properties and multi-isotopic characteristics of karst water and pore water samples from Jinci in 2018
DOI: 10.5281/zenodo.10360758
title: Selection and application of agri-environmental indicators to assess potential technologies for nutrient recovery in agriculture (Data Sets)
DOI: 10.5281/zenodo.10360759
title: Selection and application of agri-environmental indicators to assess potential technologies for nutrient recovery in agriculture (Data Sets)
DOI: 10.4121/98b4d5dd-7b07-48c0-bbc7-62a2f10944b1.v2
title: Data underlying the publication: "Temperature status of domestic refrigerators and its effect on the risk of listeriosis from ready-to-eat (RTE) cooked meat products".

description: Inadequate domestic refrigeration is frequently cited as a factor that contributes to foodborne poisoning and infection, and consumer behaviour in this regard can vary largely. This study provides insight into the temperature profiles of domestic refrigerators in the Netherlands and the impact on the number of listeriosis cases related to ready-to-eat (RTE) cooked meat products. A QMRA (Quantitative Microbiological Risk Assessment) was performed with emphasis on consumer handling and storage of RTE cooked meat products before consumption. Monte Carlo simulations were performed to determine the distribution of the Probability of illness using @Risk simulation software (@Risk 8.2 for Excel, Palisade, Ithaca, USA), as an add-in to Microsoft Excel, with 1,000,000 iterations.
DOI: 10.57967/hf/1449
title: law-test
DOI: 10.25345/c5ht2gp1f
title: MassIVE MSV000093643 - GNPS_GCMS_DENICE_MSDIALDATA_GUAYUSA
title: Volatiloma del extracto acuoso de las hojas de Ilex guayusa bajo diferentes condiciones de luz y edad en tres Chakras de Tena-Ecuador
DOI: 10.6084/m9.figshare.24792756.v1
title: data.sav

description: survey data
DOI: 10.6084/m9.figshare.24792756
title: data.sav

description: survey data
DOI: 10.6084/m9.figshare.23092127
title: Supplementary R code for "Palaeoenvironmental data track Late Quaternary anthropogenic impacts on vegetation and landscapes in Mzimba, northern Malawi" (submitted to <em>Frontiers in Environmental Archaeology</em>, June 2023).

description: These are data files and R code for stable isotope results, depositional models and pollen spectra generated from the Mzimba region of north-central Malawi. 
<br>
Authors: David K. Wright, Sarah J. Ivory, Jago J. Birk, Jeong-Heon Choi, Benjamin Davies, Sabine Fiedler, Jacob Davis, Potiphar Kaliba, Jessica C. Thompson
<br>
DOI: 10.34740/kaggle/dsv/6145038
title: AI-generated psychology participants: Personality
DOI: 10.6084/m9.figshare.24745749
title: Navigating the Generative AI era: Introducing the AI assessment scale for ethical GenAI assessment (Supplementary Material)

description: This is supplemetary material for the journal article titled 'Navigating the Generative AI era: Introducing the AI assessment scale for ethical GenAI assessment'. These supplementary materials provide examples on the application of the AI Assessment Scale (AIAS) for a variety of disciplines. They are not designed to be prescriptive: the Scale can be readily adapted for various subjects and assessment types.
DOI: 10.6084/m9.figshare.24792789
title: Garraf_centroid_distances_new II

description: Changes in plant distribution species after 20 consecutive years of partial rainfall exclusion.
DOI: 10.6084/m9.figshare.24792789.v1
title: Garraf_centroid_distances_new II

description: Changes in plant distribution species after 20 consecutive years of partial rainfall exclusion.
DOI: 10.34740/kaggle/dsv/7182059
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7182058
title: AutoXGB
DOI: 10.22008/fk2/lvktlo/jxeabn
title: Roedby_Top Bunter Shale Fm_twt_250x250mGrid_geus2023-3.dat

description: :unav
DOI: 10.22008/fk2/lvktlo/rgyce9
title: GEUS_Terms_of_Delivery_20230919.pdf

description: :unav
DOI: 10.22008/fk2/lvktlo/3ywtic
title: Roedby_Top Bunter Sandstone Fm_twt_250x250mGrid_geus2023-3.dat

description: :unav
DOI: 10.22008/fk2/lvktlo/bs9fox
title: Roedby_Top Oerslev Fm_twt_250x250mGrid_geus2023-3.dat

description: :unav
DOI: 10.22008/fk2/lvktlo/ivttwh
title: Readme_Roedby.pdf

description: :unav
DOI: 10.22008/fk2/lvktlo
title: Two-Way Time (TWT) grids from the Rødby project

description: GEUS’ gridded interpretations in two-way time of the Rødby structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2023 (the GEUS2023-ROEDBY survey) and legacy seismic data and published as of December 11th, 2023. The work will be reported in a GEUS report in 2024. The grids of key horizons are provided for reference of the initial maturation of the structure. GEUS disclaims any responsibility of the grids, their exactness as well as the applicability of the data to the customer’s purpose. Any use of the interpretations from this folder are not the responsibility of GEUS. Please also refer to GEUS terms of delivery (GEUS_Terms_of_Delivery_20230919.pdf, available in this folder). The seismic interpreted grids are made in Petrel (2022 version) in two-way time (negative values as standard of Petrel), with a grid size of 250 X 250 meter, and exported from Petrel (Zmap+) as .dat (ASCII) files. All grids are unsmoothed. Contents of this folder (TWT grids and GEUS’ terms of delivery): Roedby_Top Oerslev Fm_twt_250x250mGrid_geus2023.dat Roedby_Top Bunter Sandstone Fm_twt_250x250mGrid_geus2023.dat Roedby_Top Bunter Shale Fm_twt_250x250mGrid_geus2023.dat GEUS_Terms_of_Delivery_20230919.pdf
DOI: 10.5281/zenodo.10360810
title: Gene coexpression data in ALCOdbMarpo

description: Coexpression data provided in ALCOdbMarpo.
Details of the data can be found on the download page in ALCOdbMarpo. http://alcodb.jp/marpo/download

Coexpression data

Mpo.v17-12.G10913-S266.quantile.mrgeo.d.geneid.zip
Data Format
Gene coexpression data folder contains a number of files, and file names correspond to the query gene IDs. Each file includes the coexpressed gene list as in the following format (Example about Mapoly0001s0025 in Mpo.v17-12.G10913-S266.quantile.mrgeo.d.geneid).

File Name: Mapoly0001s0025
Line1: Mapoly0102s0025    1.00    0.9677
Line2: Mapoly0058s0006    1.73    0.9601
Line3: Mapoly0066s0050    2.45    0.9643
Line4: Mapoly0083s0003    4.47    0.9598
Line5: Mapoly0006s0261    5.00    0.9563
 

Columns are tab-deliminated.
Lines are sorted by column2.
Column1: ID of coexpressed gene.
Column2: Matual Rank (MR). [smaller MR indicates stronger coexpression]
Column3: Pearson's Correlation Coefficient (PCC). [larger PCC indicates stronger coexpression]
DOI: 10.5281/zenodo.10360811
title: Gene coexpression data in ALCOdbMarpo

description: Coexpression data provided in ALCOdbMarpo.
Details of the data can be found on the download page in ALCOdbMarpo. http://alcodb.jp/marpo/download

Coexpression data

Mpo.v17-12.G10913-S266.quantile.mrgeo.d.geneid.zip
Data Format
Gene coexpression data folder contains a number of files, and file names correspond to the query gene IDs. Each file includes the coexpressed gene list as in the following format (Example about Mapoly0001s0025 in Mpo.v17-12.G10913-S266.quantile.mrgeo.d.geneid).

File Name: Mapoly0001s0025
Line1: Mapoly0102s0025    1.00    0.9677
Line2: Mapoly0058s0006    1.73    0.9601
Line3: Mapoly0066s0050    2.45    0.9643
Line4: Mapoly0083s0003    4.47    0.9598
Line5: Mapoly0006s0261    5.00    0.9563
 

Columns are tab-deliminated.
Lines are sorted by column2.
Column1: ID of coexpressed gene.
Column2: Matual Rank (MR). [smaller MR indicates stronger coexpression]
Column3: Pearson's Correlation Coefficient (PCC). [larger PCC indicates stronger coexpression]
DOI: 10.25403/upresearchdata.24757626.v1
title: Phenotypic and genotypic data for composite breeds and their selected founder breeds

description: This data was obtained from the Livestock Registering Federation (LRF) with the permision of the individual breeders society. The aim of this study was to utilize phenotypic and genotypic data to characterize the genetic status of three South African composite beef breeds (Braford, Santa Gertrudis, and Simbra) in comparison to their selected founder breeds which are Brahman and Simmentaler.  PopReport and R studio were used to analyse phenotypic data and PLINK version 1.90 was used to analyse genotypic data.
DOI: 10.25403/upresearchdata.24757626
title: Phenotypic and genotypic data for composite breeds and their selected founder breeds

description: This data was obtained from the Livestock Registering Federation (LRF) with the permision of the individual breeders society. The aim of this study was to utilize phenotypic and genotypic data to characterize the genetic status of three South African composite beef breeds (Braford, Santa Gertrudis, and Simbra) in comparison to their selected founder breeds which are Brahman and Simmentaler.  PopReport and R studio were used to analyse phenotypic data and PLINK version 1.90 was used to analyse genotypic data.
DOI: 10.5281/zenodo.10360605
title: Observed data and processing results
DOI: 10.5281/zenodo.10360606
title: Observed data and processing results
DOI: 10.5281/zenodo.10360832
title: Gene coexpression data in ALCOdbCyano

description: Coexpression data provided in ALCOdbCyano.
Details of the data can be found on the download page in ALCOdbCyano. http://alcodb.jp/cyano/download

Coexpression data

PCC6803.v15-11.G3660-S18.quantile.mrgeo.d.zip
PCC7120.v16-10.G5330-S116.d.zip
PCC7942.v15-11.G2714-S34.quantile.mrgeo.d.zip
Data Format
Gene coexpression data folder contains a number of files, and file names correspond to the query gene IDs. Each file includes the coexpressed gene list as in the following format (Example about Cre01g001400 in cre.v15-08.G15519-S172.quantile.mrgeo.d).

File Name: Cre01g001400
Line1: Cre03g197300    1.00    0.8352
Line2: Cre13g605200    6.63    0.6938
Line3: Cre09g411751    7.35    0.7082
Line4: Cre15g638551    9.38    0.7128
Line5: Cre01g037600    10.25    0.6761
 

Columns are tab-deliminated.
Lines are sorted by column2.
Column1: ID of coexpressed gene.
Column2: Matual Rank (MR). [smaller MR indicates stronger coexpression]
Column3: Pearson's Correlation Coefficient (PCC). [larger PCC indicates stronger coexpression]
DOI: 10.5281/zenodo.10360833
title: Gene coexpression data in ALCOdbCyano

description: Coexpression data provided in ALCOdbCyano.
Details of the data can be found on the download page in ALCOdbCyano. http://alcodb.jp/cyano/download

Coexpression data

PCC6803.v15-11.G3660-S18.quantile.mrgeo.d.zip
PCC7120.v16-10.G5330-S116.d.zip
PCC7942.v15-11.G2714-S34.quantile.mrgeo.d.zip
Data Format
Gene coexpression data folder contains a number of files, and file names correspond to the query gene IDs. Each file includes the coexpressed gene list as in the following format (Example about Cre01g001400 in cre.v15-08.G15519-S172.quantile.mrgeo.d).

File Name: Cre01g001400
Line1: Cre03g197300    1.00    0.8352
Line2: Cre13g605200    6.63    0.6938
Line3: Cre09g411751    7.35    0.7082
Line4: Cre15g638551    9.38    0.7128
Line5: Cre01g037600    10.25    0.6761
 

Columns are tab-deliminated.
Lines are sorted by column2.
Column1: ID of coexpressed gene.
Column2: Matual Rank (MR). [smaller MR indicates stronger coexpression]
Column3: Pearson's Correlation Coefficient (PCC). [larger PCC indicates stronger coexpression]
DOI: 10.34740/kaggle/dsv/7182270
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.6084/m9.figshare.24792813
title: -.fcs

description: MDS系列
DOI: 10.6084/m9.figshare.24792813.v1
title: -.fcs

description: MDS系列
DOI: 10.5281/zenodo.10361006
title: GNSS gravity leveling
DOI: 10.5281/zenodo.10361007
title: GNSS gravity leveling
DOI: 10.18462/iir.icr.2023.0950
title: Physics-informed neural network and experimental investigations for analysing adsorption kinetics of desiccant coated energy exchanger under tropical climatic conditions.
DOI: 10.21227/ggd7-a357
title: The dataset of GIF-PLA

description: Accurate prediction of protein-ligand binding affinities (PLAs) is essential for drug discovery, repositioning, and design. Deep learning (DL) techniques have shown promise in PLA prediction, due to their high expressive power, leading to significant advancements. However, the relationships among ligand and protein entities are not fully characterized, resulting in relatively simplistic representations that may affect the accuracy and generalization. In this study, we propose GIF-PLA (Graph-based heterogeneous Information Fusion framework for Protein-Ligand binding Affinity prediction), a structure-aware approach that effectively estimates the binding affinity scores of protein-ligand pairs with the assistance of protein-ligand binding complexes. Protein-ligand binding complexes are transformed into heterogeneity graphs with meta-paths, in parallel with protein sequences and ligand SMILES strings, fed into cascaded deep neural networks, respectively. GIF-PLA has the ability to acquire structure-oriented information, encompassing topological interactions and high-order nonlinear relationships, as well as sequence-oriented 1D grammatical information. Finally, a fusion module to effectively integrate multi-level information, and a visualization technique to demonstrate the biological significance of the predictions. The resulting GIF-PLA model substantially outperforms state-of-the-art methods on well-known datasets.
DOI: 10.18462/iir.icr.2023.0535
title: Performance simulation of an inverter operated split air conditioner using HFC-161 as an alternative refrigerant to HC-290 and HFC-32.
DOI: 10.18462/iir.icr.2023.0533
title: A robust fault diagnosis method for HVAC systems with domain knowledge augmented machine learning.
DOI: 10.25597/gxh5-0w84
title: Replication material for: Strebel, Michael A. & Schakel, Arjan H. (2023) “When do subnational jurisdictional mergers impact voting?” Political Geography 103033 doi: 10.1016/j.polgeo.2023.103033
DOI: 10.18462/iir.icr.2023.0501
title: An interpretable machine learning method for fault diagnosis of heating, ventilation and air conditioning systems.
DOI: 10.18462/iir.icr.2023.0490
title: Demand response control for the installed inverter air conditioners based on hierarchical model predictive control.
DOI: 10.18462/iir.icr.2023.0475
title: An optimal design method of multi-chillers system based on map concordance analysis.
DOI: 10.18462/iir.icr.2023.0471
title: Performance evaluation of a desiccant cooling system coupled with indirect evaporative cooling technologies under various climates.
DOI: 10.18462/iir.icr.2023.0722
title: Vapor-liquid equilibrium of binary refrigerant blends of R1132(E) + R1234yf and R1132(E) + R32.
DOI: 10.5281/zenodo.10361050
title: multi class dataset_Dipper Throated Optimization with Deep Convolutional Neural Network-based Crop Classification on Remote Sensing Image Analysis
DOI: 10.5281/zenodo.10361051
title: multi class dataset_Dipper Throated Optimization with Deep Convolutional Neural Network-based Crop Classification on Remote Sensing Image Analysis
DOI: 10.18462/iir.icr.2023.0733
title: Influence of the mass diffusivity versus solubility on the performance of ammonia-ionic liquid absorption refrigeration systems.
DOI: 10.18462/iir.icr.2023.0356
title: Chemical stability of HFO and HCFO olefin refrigerants and their potential mechanistic breakdown pathways.
DOI: 10.5517/ccdc.csd.cc2g82lf
title: CCDC 2271884: Experimental Crystal Structure Determination

description: Related Article: Biplob Halder, Tulasi Barik, Saurav Chatterjee|2023|New J.Chem.|47|21994|doi:10.1039/D3NJ04862D
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.cc2g82mg
title: CCDC 2271885: Experimental Crystal Structure Determination

description: Related Article: Biplob Halder, Tulasi Barik, Saurav Chatterjee|2023|New J.Chem.|47|21994|doi:10.1039/D3NJ04862D
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.cc2gz67x
title: CCDC 2293139: Experimental Crystal Structure Determination

description: Related Article: Hinako Kato, Yoji Horii, Mariko Noguchi, Hiroki Fujimori, Takashi Kajiwara|2023|Chem.Commun.|59|14587|doi:10.1039/D3CC04770A
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.cc2gz68y
title: CCDC 2293140: Experimental Crystal Structure Determination

description: Related Article: Hinako Kato, Yoji Horii, Mariko Noguchi, Hiroki Fujimori, Takashi Kajiwara|2023|Chem.Commun.|59|14587|doi:10.1039/D3CC04770A
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.cc2gz69z
title: CCDC 2293141: Experimental Crystal Structure Determination

description: Related Article: Hinako Kato, Yoji Horii, Mariko Noguchi, Hiroki Fujimori, Takashi Kajiwara|2023|Chem.Commun.|59|14587|doi:10.1039/D3CC04770A
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.cc2gz6b0
title: CCDC 2293142: Experimental Crystal Structure Determination

description: Related Article: Hinako Kato, Yoji Horii, Mariko Noguchi, Hiroki Fujimori, Takashi Kajiwara|2023|Chem.Commun.|59|14587|doi:10.1039/D3CC04770A
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.cc2g312q
title: CCDC 2267032: Experimental Crystal Structure Determination

description: Related Article: Kanishka Sikligar, Steven P. Kelley, Gary A. Baker, Jerry L. Atwood|2023|Chem.Commun.|59|14591|doi:10.1039/D3CC03374K
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.cc2h3ss6
title: CCDC 2297558: Experimental Crystal Structure Determination

description: Related Article: Ranjay Shaw, Prasoon Prakash, Ismail Althagafi, Nand Gopal Giri, Ramendra Pratap|2023|RSC Advances|13|34299|doi:10.1039/D3RA05421G
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.cc2f7922
title: CCDC 2241333: Experimental Crystal Structure Determination

description: Related Article: Muhammad Naeem Ahmed, Maheen Akhtar, Hina Andleeb, Muhammad Adnan Bashir, Mahmoud A. A. Ibrahim, Peter A. Sidhom, Ifzan Arshad, Muhammad Nawaz Tahir, Diego M. Gil, Rosa M. Gomila, Antonio Frontera|2023|CrystEngComm|25|6710|doi:10.1039/D3CE00944K
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.cc2f7933
title: CCDC 2241334: Experimental Crystal Structure Determination

description: Related Article: Muhammad Naeem Ahmed, Maheen Akhtar, Hina Andleeb, Muhammad Adnan Bashir, Mahmoud A. A. Ibrahim, Peter A. Sidhom, Ifzan Arshad, Muhammad Nawaz Tahir, Diego M. Gil, Rosa M. Gomila, Antonio Frontera|2023|CrystEngComm|25|6710|doi:10.1039/D3CE00944K
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.