cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9uesht5
title: Science in the Great Lakes (SiGL) Database Archive

description: In the Great Lakes basin, there are numerous organizations undertaking scientific monitoring and research efforts with the goal of identifying threats and evaluating management strategies that will protect and restore the Great Lakes ecosystem. Coordination among all these stakeholders is a challenge, and having a centralized location where researchers and managers can identify relevant scientific activities and access fundamental information about these activities is crucial for efficient management. The Science in the Great Lakes (SiGL) Mapper was a map-based discovery tool that spatially displayed basin-wide multidisciplinary monitoring and research activities conducted by both USGS and partners from all five Great Lakes. It was designed to help Great Lakes researchers and managers strategically plan, implement, and analyze monitoring and restoration activities by providing easy access to historical and on-going project metadata while allowing them to identify gaps (spatially and topically) that have been underrepresented in previous efforts or need further study. SiGL provided a user-friendly and efficient way to explore Great Lakes projects and data through robust search options while also providing a critical spatial perspective through its interactive mapping interface.
DOI: 10.25345/c5ks6jf5v
title: MassIVE MSV000092269 - Follicular fluid aids in cell adhesion, spreading and shows an age-dependent effect on DNA damage in fallopian tube epithelial cells
title: Ovarian cancer is the 5th leading cause of cancer related death in women with a low 5-year survival rate. Ovarian cancer is rarely detected early, and likely arises from the fimbriated end of the fallopian tube epithelium (FTE). There is a correlation between ovarian cancer and ovulation whereby ovulation suppression through use of oral contraception or pregnancy reduces the risk of ovarian cancer. Despite the association of ovarian cancer with ovulation, due to the lack of early detection methods, the disease typically presents as late stage, metastatic cancer in post-menopausal women who are no longer ovulating. The goal of this study is to understand how ovulation and the process of aging work together to contribute to ovarian cancer initiation and progression in the FTE. The process of ovulation releases follicular fluid and has been shown to induce DNA damage response pathway, but the role of aging on FTE exposure to follicular fluid has not been tested. De-identified follicular fluid samples were collected from 14 women (7 biologically young (29-35 years) and 7 biologically aged (40-44 years)) undergoing ART (assisted reproductive technology) through the Northwestern University Reproductive Tissue Library (NU-RTL). Our data found that follicular fluid caused DNA damage in an age-dependent manner and cell proliferation in a dose-dependent manner in FTE cells. Interestingly, follicular fluid disrupted FTE spheroid formation and instead stimulated attachment and growth on ultra-low attachment plates. Follicular fluid when coated on the surface of the ultra low plates enhanced FTE cell adhesion, spreading and proliferation. Proteomics analysis of the follicular fluid identified vitronectin, a glycoprotein as the factor responsible for FTE cell attachment and spreading. Overall, this study demonstrated that aging contributed to lipid oxidation and DNA damage of FTE cells and identified vitronectin in the follicular fluid as a protein factor that facilitates FTE cells to the detach from 3D spheroids and spread on low attachment surfaces.
DOI: 10.6073/pasta/926c925a2e5a9ca7962bc12e5bc5592e
title: Time-lapse camera (phenocam) imagery of sensor network plots, 2017 - ongoing.

description: Images from time-lapse cameras were analyzed to track the greenness curves of 16 plots in the Sensor Network at Niwot Ridge. Images were taken every 30 minutes during daylight hours throughout the growing season. Cameras were angled to view 1m^2 vegetation plots located at each sensor node. Pixels in the portion of the image capturing the vegetation plot were used to calculate the green chromatic coordinate (GCC). The change in GCC over the growing season represents the growth and phenology of the plant communities captured.
DOI: 10.48612/msupe/r9ad-t22x-ea18
title: Citation prediction of Russian journals articles in psychology in WoS by articles parameters and eLibrary and PsyJournals altmetrics

description: The study identifies citation predictors of Russian scientific publications on psychology in the Web of Science Core Collection (WoS) and compares them with citation predictors in the Russian Science Citation Index (RSCI). Four groups of indicators of various types are considered: formal attributes of the article (12 parameters), article visibility parameters on the eLibrary (3 parameters) and PsyJournals (2 parameters) internet portals, showing the availability of the article text to potential readers, and attributes of the author’s method of scientific citation (3 parameters). Special attention is paid to citation attributes as qualitative characteristics of the author’s way of working on his own scientific text and constructing a dialogue (in the form of citation) with other researchers.
DOI: 10.22003/xfel.eu-data-003408-00
title: Catalytic trihydrogen formation from water on nanoparticle surfaces
DOI: 10.22003/xfel.eu-data-003285-00
title: Ultrafast X-ray heating study: dynamics of (fluorescent) diamond formation from (doped) diamondoids under a static high-pressure environment
DOI: 10.5281/zenodo.8083876
title: Long COVID data set : physiotherapist and physiotherapy students KAP study

description: A data set analyzed from cross sectional study among physiotherapy and physiotherapy students on their knowledge, attitude and experiences on long COVID management is appended.
DOI: 10.5281/zenodo.8083875
title: Long COVID data set : physiotherapist and physiotherapy students KAP study

description: A data set analyzed from cross sectional study among physiotherapy and physiotherapy students on their knowledge, attitude and experiences on long COVID management is appended.
DOI: 10.14278/rodare.2315
title: Dataset for Fate of bubble clusters rising in a quiescent liquid

description: This repository contains the training data for Fate of bubble clusters rising in a quiescent liquid. Sequence 18, 19, 33 and 37 were used for validation. The structure is as follows: The Images folder contains the semi-artificial image sequences, the GTMask folder contains semantic masks with the same ID (gray value) for the same bubble, Nodes.pkl contains the prediction generated with the detection method described in "Bubble identification from images with machine learning methods" and NodesGT.pkl the corresponding ground truth needed for training. You can use GTMask or NodesGT.pkl to train/test your own tracking model.
DOI: 10.14278/rodare.2314
title: Dataset for Fate of bubble clusters rising in a quiescent liquid

description: This repository contains the training data for Fate of bubble clusters rising in a quiescent liquid. Sequence 18, 19, 33 and 37 were used for validation. The structure is as follows: The Images folder contains the semi-artificial image sequences, the GTMask folder contains semantic masks with the same ID (gray value) for the same bubble, Nodes.pkl contains the prediction generated with the detection method described in "Bubble identification from images with machine learning methods" and NodesGT.pkl the corresponding ground truth needed for training. You can use GTMask or NodesGT.pkl to train/test your own tracking model.
DOI: 10.5281/zenodo.5772657
title: Diversity of options to eliminate fossil fuels and reach carbon-neutrality across the entire European energy system

description: <strong>Sector-coupled Euro-Calliope model outputs</strong> The subdirectories found here cover cost-optimal and cost relaxation (SPORES) carbon-neutrality runs for a sector-coupled, sub-national resolution European energy system model. The underlying model to produce these results, Sector-coupled Euro-Calliope, is an extension of the power-sector only Euro-Calliope model. It incorporates all energy consuming sectors and includes a more detailed representation of transmission capacities between 98 model regions in Europe. The model runs here are based on specific Sector-Coupled Euro-Calliope minor releases: cost-opt slack-* The models were optimised using the Calliope open energy system modelling framework, again based on different minor releases: cost-opt slack-* <code>slack-*</code> results are for cost relaxation runs, where <code>*</code> refers to the percentage relaxation from the optimal cost of the 2018 energy system. All results use the friendly data format. Data files are structured according to standardised sector-coupled Euro-Calliope output processing provided by the friendly-calliope package + additional processing to produce data relevant to nine high-level metrics (see script here). Both cost optimal and SPORES results related to a projected demand scenario are given in the directories ending in "demand-update". To explore the data, please refer to the friendly data documentation.
DOI: 10.5281/zenodo.5772658
title: Diversity of options to reach carbon-neutrality across the entire European energy system

description: <strong>Euro-Calliope v2.0 model outputs</strong> The subdirectories found here cover cost-optimal and cost relaxation (SPORES) carbon-neutrality runs for a sector-coupled, sub-national resolution European energy system model. The underlying model to produce these results, Euro-Calliope v2.0, is an extension of the power-sector only Euro-Calliope model. It incorporates all energy consuming sectors and includes a more detailed representation of transmission capacities between 98 model regions in Europe. The model runs here are based on specific Euro-Calliope v2.0 minor releases: cost-opt slack-* The models were optimised using the Calliope open energy system modelling framework, again based on different minor releases: cost-opt slack-* <code>slack-*</code> results are for cost relaxation runs, where <code>*</code> refers to the percentage relaxation from the optimal cost of the 2018 energy system. The data structure differs between the cost relaxation runs and the cost-optimal runs, with the cost-optimal run outputs following the structure produced by friendly-calliope and the relaxation run outputs being based on a custom collation of output data relevant to publication outputs (see script here). The overlapping files between all results are <code>flow_in_sum.csv</code>, <code>flow_out_sum.csv</code>, <code>flow_in_max.csv</code>, and <code>flow_out_max.csv</code>. To explore the data, please refer to the friendly data documentation.
DOI: 10.5281/zenodo.6368833
title: Diversity of options to reach carbon-neutrality across the entire European energy system

description: <strong>Sector-coupled Euro-Calliope model outputs</strong> The subdirectories found here cover cost-optimal and cost relaxation (SPORES) carbon-neutrality runs for a sector-coupled, sub-national resolution European energy system model. The underlying model to produce these results, Sector-coupled Euro-Calliope, is an extension of the power-sector only Euro-Calliope model. It incorporates all energy consuming sectors and includes a more detailed representation of transmission capacities between 98 model regions in Europe. The model runs here are based on specific Euro-Calliope v2.0 minor releases: cost-opt slack-* The models were optimised using the Calliope open energy system modelling framework, again based on different minor releases: cost-opt slack-* <code>slack-*</code> results are for cost relaxation runs, where <code>*</code> refers to the percentage relaxation from the optimal cost of the 2018 energy system. All results use the friendly data format. Data files are structured according to standardised sector-coupled Euro-Calliope output processing provided by the friendly-calliope package + additional processing to produce data relevant to nine high-level metrics (see script here). To explore the data, please refer to the friendly data documentation.
DOI: 10.5281/zenodo.6546817
title: Diversity of options to eliminate fossil fuels and reach carbon-neutrality across the entire European energy system

description: <strong>Sector-coupled Euro-Calliope model outputs</strong> The subdirectories found here cover cost-optimal and cost relaxation (SPORES) carbon-neutrality runs for a sector-coupled, sub-national resolution European energy system model. The underlying model to produce these results, Sector-coupled Euro-Calliope, is an extension of the power-sector only Euro-Calliope model. It incorporates all energy consuming sectors and includes a more detailed representation of transmission capacities between 98 model regions in Europe. The model runs here are based on specific Sector-Coupled Euro-Calliope minor releases: cost-opt slack-* The models were optimised using the Calliope open energy system modelling framework, again based on different minor releases: cost-opt slack-* <code>slack-*</code> results are for cost relaxation runs, where <code>*</code> refers to the percentage relaxation from the optimal cost of the 2018 energy system. All results use the friendly data format. Data files are structured according to standardised sector-coupled Euro-Calliope output processing provided by the friendly-calliope package + additional processing to produce data relevant to nine high-level metrics (see script here). Both cost optimal and SPORES results related to a projected demand scenario are given in the directories ending in "demand-update". To explore the data, please refer to the friendly data documentation.
DOI: 10.25505/fiz.icsd.cc1y2jyh
title: CSD 1789907: Experimental Crystal Structure Determination

description: Related Article: F. Ledderboge, T. Schleid|2015|Z.Krist. - Supplement issues|35|87|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8064564
title: AIS data

description: Terrestrial vessel automatic identification system (AIS) data was collected around Ålesund, Norway in 2020, from multiple receiving stations with unsynchronized clocks. Features are '<em>mmsi</em>', '<em>imo</em>', '<em>length</em>', '<em>latitude</em>', '<em>longitude</em>', '<em>sog</em>', '<em>cog</em>', '<em>true_heading</em>', '<em>datetime UTC</em>', '<em>navigational status</em>', and '<em>message number</em>'. Compact parquet files can be turned into data frames with python's pandas library. Data is irregularly sampled because of the navigational status. The preprocessing script for training the machine learning models can be found here. There you will find gathered dozen of trainable models and hundreds of datasets. Visit this website for more information about the data. If you have additional questions, please find our information in the links below: Luka Grgičević Ottar Laurits Osen
DOI: 10.5281/zenodo.8064487
title: AIS data

description: Terrestrial vessel automatic identification system (AIS) data was collected around Ålesund, Norway in 2020, from multiple receiving stations with unsynchronized clocks. Features are '<em>mmsi</em>', '<em>imo</em>', '<em>length</em>', '<em>latitude</em>', '<em>longitude</em>', '<em>sog</em>', '<em>cog</em>', '<em>true_heading</em>', '<em>datetime UTC</em>', '<em>navigational status</em>', and '<em>message number</em>'. Compact parquet files can be turned into data frames with python's pandas library. Data is irregularly sampled because of the navigational status. The preprocessing script for training the machine learning models can be found here. There you will find gathered dozen of trainable models and hundreds of datasets. Visit this website for more information about the data. If you have additional questions, please find our information in the links below: Luka Grgičević Ottar Laurits Osen
DOI: 10.34740/kaggle/dsv/5658579
title: Internet Traffic Data Set
DOI: 10.5519/qd.a8talka3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (173 records)
DOI: 10.6084/m9.figshare.20151770
title: In Planta Transcriptome of Psy and Pta

description: A spreadsheet containing annotations of the type 3 effectors and phytotoxins for two strains of Pseudomonas syringae (from pv. syringae B728a and pv. tabaci 11528)
DOI: 10.6084/m9.figshare.20151770.v2
title: In Planta Transcriptome of Psy and Pta

description: A spreadsheet containing annotations of the type 3 effectors and phytotoxins for two strains of Pseudomonas syringae (from pv. syringae B728a and pv. tabaci 11528)
DOI: 10.6084/m9.figshare.20151770.v3
title: In Planta Transcriptome of Psy and Pta

description: A spreadsheet containing annotations of the type 3 effectors and phytotoxins for two strains of Pseudomonas syringae (from pv. syringae B728a and pv. tabaci 11528)
DOI: 10.7298/sb79-hf09
title: Compound data for Direct Insertion Polymerization of Ionic Monomers
DOI: 10.6084/m9.figshare.23402360.v1
title: 14,922 SNP markers used for genomewide prediction in chile peppers

description: Genotype data (numeric) of the 204 chile pepper genotypes for 14,922 single nucleotide polymorphism (SNP) markers used for genomic prediction.
DOI: 10.6084/m9.figshare.23402360.v2
title: 14,922 SNP markers and genotypes used for genomewide prediction in chile peppers

description: Genotype data (numeric) of the 204 chile pepper genotypes for 14,922 single nucleotide polymorphism (SNP) markers used for genomic prediction.
DOI: 10.5519/qd.hs9eoykr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.5281/zenodo.8016364
title: Spreadsheets to model counterfactual tropical forest losses (1990-2019) for Brazil, Democratic Republic of Congo and Indonesia

description: 18 spreadsheets used to simulate the counterfactual forest losses underlying the publication:<br> "Trends in tropical forest loss and the social value of emission reductions"<br> by Thomas Knoke, Nick Hanley, Rosa Maria Roman-Cuesta, Ben Groom, Frank Venmans and Carola Paul published in Nature Sustainability (DOI: 10.1038/s41893-023-01175-9) Each spreadsheet covers a period of five years. The dynamic robust multifunctional land-use allocation model is based on Knoke, T. et al. Accounting for multiple ecosystem services in a simulation of land-use<br> decisions: Does it reduce tropical deforestation? Glob. Chang. Biol. 26, 2403–2420; 10.1111/gcb.15003 (2020). For details see linked publication and README file
DOI: 10.5281/zenodo.8016363
title: Spreadsheets to model counterfactual tropical forest losses (1990-2019) for Brazil, Democratic Republic of Congo and Indonesia

description: 18 spreadsheets used to simulate the counterfactual forest losses underlying the publication:<br> "Trends in tropical forest loss and the social value of emission reductions"<br> by Thomas Knoke, Nick Hanley, Rosa Maria Roman-Cuesta, Ben Groom, Frank Venmans and Carola Paul published in Nature Sustainability (DOI: 10.1038/s41893-023-01175-9) Each spreadsheet covers a period of five years. The dynamic robust multifunctional land-use allocation model is based on Knoke, T. et al. Accounting for multiple ecosystem services in a simulation of land-use<br> decisions: Does it reduce tropical deforestation? Glob. Chang. Biol. 26, 2403–2420; 10.1111/gcb.15003 (2020). For details see linked publication and README file
DOI: 10.48493/6c2a-r758
title: CAMBIO Human Isotopic Dataset
DOI: 10.5517/ccdc.csd.cc2bgr3p
title: CCDC 2159122: Experimental Crystal Structure Determination

description: Related Article: Koki Ikemoto, Misato Akiyoshi, Tatsuru Mio, Kaito Nishioka, Sota Sato, Hiroyuki Isobe|2022|Angew.Chem.,Int.Ed.|61|e202204035|doi:10.1002/anie.202204035
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.cc2c1ym0
title: CCDC 2176622: Experimental Crystal Structure Determination

description: Related Article: Sanehiro Muromachi, Masato Kida, Masato Morimoto, Shogo Yamane, Satoshi Takeya|2022|Phys.Chem.Chem.Phys.(PCCP)|24|18198|doi:10.1039/D2CP02625B
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: 10.25505/fiz.icsd.cc2736f0
title: CSD 2058661: Experimental Crystal Structure Determination

description: Related Article: Xuehui Wei, Jianzong Wang|2022|ACS Omega|7|15200|doi:10.1021/acsomega.2c01325
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28gjz8
title: CSD 2099350: Experimental Crystal Structure Determination

description: Related Article: Ke-Ke Guo, Yan-Li Yang, Si-Meng Dong, Feng-Yan Li, Xin-Ye Jiang, Lin Xu|2022|Inorg.Chem.|61|6411|doi:10.1021/acs.inorgchem.1c03928
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2bdjjt
title: CSD 2156996: Experimental Crystal Structure Determination

description: Related Article: Kageyama, Keisuke, Yang, Yang, Kageyama, Toki, Murayama, Kantaro, Shitara, Kazuki, Saito, Takashi, Ubukata, Hiroki, Tassel, CÃ Â©dric, Kuwabara, Akihide, Kageyama, Hiroshi|2022|Inorganics|10|73|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2bdjny
title: CSD 2157000: Experimental Crystal Structure Determination

description: Related Article: Kageyama, Keisuke, Yang, Yang, Kageyama, Toki, Murayama, Kantaro, Shitara, Kazuki, Saito, Takashi, Ubukata, Hiroki, Tassel, CÃ Â©dric, Kuwabara, Akihide, Kageyama, Hiroshi|2022|Inorganics|10|73|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.