cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3979964
title: DWDE drifters: Trajectories of surface drifters in the western Gulf of Mexico from the Deep-Water Dispersion Experiment

description: This dataset is comprised of the final processed data collected by 207 surface drifters deployed in the western Gulf of Mexico during the Deep Water Dispersion Experiment (DWDE), as part of the project “Implementación de redes de observación oceanográficas (físicas geoquímicas, ecológicas) para la generación de escenarios ante posibles contingencias relacionadas a la exploración y producción de hidrocarburos en aguas profundas del Golfo de México” of the Gulf de Mexico Research Consortium (CIGoM), funded by CONACYT‐SENER‐Hydrocarbon Fund, Mexico”. The DWDE drifter data is also made available with the GulfDriftersWithDWDE dataset (http://doi.org/10.5281/zenodo.3985916), which is a merged and uniformly processed surface drifter dataset which includes publicly available data from several different drifter experiments. These latter database is the basis for the gridded product GulfFlow (http://doi.org/10.5281/zenodo.3978793). See Lilly and Pérez-Brunius (2021) "A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements" for details. García Carrillo, P., Ronquillo Méndez, A., Rodríguez Outerelo, J., Pérez Brunius, P. 2018. Experimento de Dispersión en Aguas Profundas ( DWDE ). Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California. 253 pp. Pérez-Brunius P., P. García Carrillo, A. Ronquillo Méndez, J. Rodríguez Outerelo, A. Sandoval Rangel, C. Liera Grijalva, X. Flores Vidal (2019). Trayectorias de Derivadores Superficiales en el Oeste del Golfo de México del Experimento de Dispersión en Aguas Profundas. Reg. INDAUTOR, México (03-2019- 120510255600-01, 13 December 2019).
description: The acquisition of the surface drifter data from the DWDE experiment has been financed by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico (project 201441), developed by the Gulf of Mexico Research Consortium (CIGoM). We recognize PEMEX for promoting to the Fund the specific demand on oil spills and the environment. See database webpage with additional information (https://giola.cicese.mx/database/DWDE)
description: {"references": ["Garc\u00eda Carrillo, P., Ronquillo M\u00e9ndez, A., Rodr\u00edguez Outerelo, J., P\u00e9rez Brunius, P. 2018. Experimento de Dispersi\u00f3n en Aguas Profundas ( DWDE ). Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada, Baja California. 253 pp."]}
DOI: 10.25345/c5833n82k
title: MassIVE MSV000092346 - TRIM28 modulates nuclear receptor signaling to regulate uterine function
title: This project identified that TRIM28 can modulate progesterone and estrogen signaling in both human and mouse endometrium to regulate its normal functions during pregnancy. TRIM28 showed proximal localization and co-immunoprecipitation with PR and ERalpha. The ablation of TRIM28 can inhibit the chromatin binding activity of PR and ERalpha leading to disrupted estrogen and progesterone signaling. This immunoprecipitation using TRIM28 antibody was performed in pre-decidual human endometrial stromal cells (HESCs) without any hormone treatment. The potential interacting proteins of TRIM28 was analyzed using mass spec.
DOI: 10.25345/c54b2xf8t
title: MassIVE MSV000092347 - GNPS Comparing the surface metabolomes of Fucus spp.
title: Comparing surface metabolomes of Fucus vesiculosus, Fucus serratus and Fucus distichus subsp evanescens
DOI: 10.5519/qd.g0xj3xgf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (308 records)
DOI: 10.6084/m9.figshare.23632011
title: GOCE Track Simulation Results

description: Data from the simulations along GOCE satallite tracks. Used in Figure 8.
DOI: 10.5519/qd.lqf0a9hc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (563 records)
DOI: 10.5281/zenodo.8117569
title: ASAS-SN 100 Million Variable Star Python CSV filter

description: A subset of the ASAS-SN 100 Million Variable Star Database CSV filter
description: 100 million row subset of the 100 million ASAS-SN Variable star database
DOI: 10.5281/zenodo.8117568
title: ASAS-SN 100 Million Variable Star Python CSV filter

description: A subset of the ASAS-SN 100 Million Variable Star Database CSV filter
description: 100 million row subset of the 100 million ASAS-SN Variable star database
DOI: 10.5281/zenodo.8117205
title: Additional ASAS-SN Variable Star Python CSV filters

description: Additional ASAS-SN Variable Star Python CSV filters
description: Additional ASAS-SN Variable Star Python CSV filters
DOI: 10.5281/zenodo.8117204
title: Additional ASAS-SN Variable Star Python CSV filters

description: Additional ASAS-SN Variable Star Python CSV filters
description: Additional ASAS-SN Variable Star Python CSV filters
DOI: 10.5281/zenodo.8117003
title: Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files

description: Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files
description: Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files
DOI: 10.5281/zenodo.8117002
title: Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files

description: Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files
description: Additional ASAS-SN 100 Million Variable Star Database Python Filter CSV files
DOI: 10.5281/zenodo.8116919
title: ASAS-SN 100 Million Variable Star Database Python CSV Filters

description: ASAS-SN 100 Million Variable Star Database Python CSV Filters
description: ASAS-SN 100 Million Variable Star Database Python CSV Filters
DOI: 10.5281/zenodo.8116918
title: ASAS-SN 100 Million Variable Star Database Python CSV Filters

description: ASAS-SN 100 Million Variable Star Database Python CSV Filters
description: ASAS-SN 100 Million Variable Star Database Python CSV Filters
DOI: 10.6084/m9.figshare.18316304.v1
title: PDXE_gene_essentiality_scores.tsv

description: Predicted gene essentiality of PDX models
DOI: 10.6084/m9.figshare.21382011
title: (Table S5) TCGADEPMAP gene essentiality scores

description: TCGADEPMAP gene essentiality scores, rows are gene models and columns are TCGA samples
DOI: 10.5281/zenodo.8118265
title: Dataset: Harmonic Integration via Randomized Kaczmarz Algorithms

description: The dataset used for the analyses in our paper: "On the Conjugate Symmetry and Sparsity of the Harmonic Decomposition of Parametric Surfaces with the Randomised Kaczmarz Method". The codes are available on our EESD GitHub webpage. The attached files are all MAT files (Matlab 7.0). These files will be read and processed directly with our Python3.8 codes. The codes that generated these input data are referred to in our paper (via Spherical harmonics, spherical cap harmonics, and disk harmonics approaches).
description: Input data to test the newly proposed RK algorithms.
DOI: 10.5281/zenodo.8118264
title: Dataset: Harmonic Integration via Randomized Kaczmarz Algorithms

description: The dataset used for the analyses in our paper: "On the Conjugate Symmetry and Sparsity of the Harmonic Decomposition of Parametric Surfaces with the Randomised Kaczmarz Method". The codes are available on our EESD GitHub webpage. The attached files are all MAT files (Matlab 7.0). These files will be read and processed directly with our Python3.8 codes. The codes that generated these input data are referred to in our paper (via Spherical harmonics, spherical cap harmonics, and disk harmonics approaches).
description: Input data to test the newly proposed RK algorithms.
DOI: 10.6084/m9.figshare.23632053
title: NeuroNexus Sample

description: Info.txt included to add more context. <br> MKO05_Tonotopy.txt and MKO06_Tonotopy.txt are only needed if the user would like to try using my specified Github repo (but actually aren't necessary to run the code up past where the issue is).
DOI: 10.6084/m9.figshare.23632053.v1
title: NeuroNexus Sample

description: Info.txt included to add more context. <br> MKO05_Tonotopy.txt and MKO06_Tonotopy.txt are only needed if the user would like to try using my specified Github repo (but actually aren't necessary to run the code up past where the issue is).
DOI: 10.6084/m9.figshare.23631912
title: Weimer-FRE driven simulation time series

description: Figure with underlying data for Weimer-FRE simulation, used in figure 1 and 2
DOI: 10.6084/m9.figshare.23631912.v1
title: Weimer-FRE driven simulation time series

description: Figure with underlying data for Weimer-FRE simulation, used in figure 1 and 2
DOI: 10.5281/zenodo.8118382
title: PFOCR GMT for Homo sapiens

description: GMT file of human genes (NCBI Gene IDs) extracted from published pathway figures.
DOI: 10.5281/zenodo.8118381
title: PFOCR GMT for Homo sapiens

description: GMT file of human genes (NCBI Gene IDs) extracted from published pathway figures.
DOI: 10.25345/c50k26n3k
title: MassIVE MSV000092348 - LD4172 and LD4172NC treated MDA_MB_231 cell line global proteomics
title: 1 million MDAMB231 cells were seeded in 6-well plates. On the following day, MBAMB231 cells were treated in triplicates with DMSO, LD4172 (100 nM) or LD4172-NC (100 nM) for 6 hours. Cells were washed with ice-cold PBS three times. The cell pellets were lysed, reduced, alkylated, and digested by EasyPep MS Sample Prep Kits (ThermoFisher: A45733). The same amount of peptide from each condition was labeled with tandem mass tag (TMT) reagent (ThermoFisher: 90113). The 10-plex TMT reagents were incubated with each peptide sample for 1 hour at room temperature. The labeled peptide samples were quenched by adding 50 uL of 5% hydroxylamine, 20% formic acid solution and mixed. Mixed samples were desalted and offline fractionated into 24 fractions as previously described.
DOI: 10.6084/m9.figshare.23632107
title: Untitled Item

description: nomogram colorectal cancer
DOI: 10.6084/m9.figshare.23632107.v1
title: Untitled Item

description: nomogram colorectal cancer
DOI: 10.5519/qd.r9v8o12j
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.25909/23160164.v1
title: <strong>Genetic analysis of late-maturity α-amylase in twelve wheat populations</strong>

description: Phenotype and genotype data generated in the 'Genetic analysis of late-maturity α-amylase in twelve wheat populations' study.
DOI: 10.5281/zenodo.7783840
title: The Secret Life of User Feedback: How Organizations Manage It

description: This data represents two artifacts from our research in studying how software organizations manage user feedback, particularly social media feedback, to help improve existing products. It includes our base interview questions and the codebook. This page includes supplementary materials associated with our paper entitled "The Secret Life of User Feedback: How Organizations Manage It".
DOI: 10.6084/m9.figshare.23632131
title: Supplements

description: Supp 1: List of 87 cities examined Supp 2: Database of all information extracted from programs Supp 3: Metadata which describes each column in Supp. 2
DOI: 10.34740/kaggle/dsv/6086383
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8101814
title: Raw Taxi Data for the d+Au direct photon analysis

description: Raw Taxi Data for the d+Au direct photon analysis. This files are primarily intended for building software images.
DOI: 10.5517/ccdc.csd.cc2brc5n
title: CCDC 2167401: Experimental Crystal Structure Determination

description: Related Article: Zouhaier Aloui, Manel Essid, Giuseppe Bruno, Giovanni Bella, Antonio Santoro, Sonia Abid|2023|Materials Today Comm.|36|106484|doi:10.1016/j.mtcomm.2023.106484
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.cc2dr0y4
title: CCDC 2226666: Experimental Crystal Structure Determination

description: Related Article: Yanping Dong, Guangming Li, Li Li|2023|Inorg.Chim.Acta|556|121616|doi:10.1016/j.ica.2023.121616
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.cc2dr0z5
title: CCDC 2226667: Experimental Crystal Structure Determination

description: Related Article: Yanping Dong, Guangming Li, Li Li|2023|Inorg.Chim.Acta|556|121616|doi:10.1016/j.ica.2023.121616
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.cc2dr107
title: CCDC 2226668: Experimental Crystal Structure Determination

description: Related Article: Yanping Dong, Guangming Li, Li Li|2023|Inorg.Chim.Acta|556|121616|doi:10.1016/j.ica.2023.121616
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.cc2dr118
title: CCDC 2226669: Experimental Crystal Structure Determination

description: Related Article: Yanping Dong, Guangming Li, Li Li|2023|Inorg.Chim.Acta|556|121616|doi:10.1016/j.ica.2023.121616
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.cc2dr13b
title: CCDC 2226671: Experimental Crystal Structure Determination

description: Related Article: Yanping Dong, Guangming Li, Li Li|2023|Inorg.Chim.Acta|556|121616|doi:10.1016/j.ica.2023.121616
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.cc2fb3b7
title: CCDC 2244038: Experimental Crystal Structure Determination

description: Related Article: Rabina Pradhan, Laxmi Tiwari, Vincent M. Groner, Caleb Leach, Kyle Lusk, Nathan S. Harrison, Kenneth A. Cornell, Kristopher V. Waynant|2023|J.Inorg.Biochem.|246|112294|doi:10.1016/j.jinorgbio.2023.112294
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.cc2fb3c8
title: CCDC 2244039: Experimental Crystal Structure Determination

description: Related Article: Rabina Pradhan, Laxmi Tiwari, Vincent M. Groner, Caleb Leach, Kyle Lusk, Nathan S. Harrison, Kenneth A. Cornell, Kristopher V. Waynant|2023|J.Inorg.Biochem.|246|112294|doi:10.1016/j.jinorgbio.2023.112294
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.cc2fb3d9
title: CCDC 2244040: Experimental Crystal Structure Determination

description: Related Article: Rabina Pradhan, Laxmi Tiwari, Vincent M. Groner, Caleb Leach, Kyle Lusk, Nathan S. Harrison, Kenneth A. Cornell, Kristopher V. Waynant|2023|J.Inorg.Biochem.|246|112294|doi:10.1016/j.jinorgbio.2023.112294
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: 10.25955/21454386
title: Bush Medicine Project Database Export S2 2022

description: Raw Data: Plant Sample, Plant Extract Toxicity, and Antimicrobial Activity Database for 2022 from the Bush Medicine Project If you want to use this data it is licenced using a CC BY-NC-SA licence. We would love to know what you use it for so please get in contact (bm.long@federation.edu.au) and share your creations.
DOI: 10.25955/21454386.v1
title: Bush Medicine Project Database Export S2 2022

description: Raw Data: Plant Sample, Plant Extract and Antimicrobial Activity Database for 2021 from the Bush Medicine Project If you want to use this data it is licenced using a CC BY-NC-SA licence. We would love to know what you use it for so please get in contact (bm.long@federation.edu.au) and share your creations.
DOI: 10.6084/m9.figshare.23629113
title: Data for " a numerical study on load effect of low-rise buildings in the wind-blown sand environment"

description: The transportation process of wind-blown sand occurs frequently in arid and semi-arid regions. The combined action of wind and sand impact load in the wind-sand environment poses a serious threat to the safety of construction, transportation and other engineering infrastructures. However, most of the current structural design only considers the effect of wind, and there is few detailed research on the surface load distribution of structures caused by sand impact, which leads to the uncertainty of the safety assessment of engineering structures in wind-sand areas. This work focuses on the wind load and sand load characteristics of low-rise buildings in wind-blown sand environment.
DOI: 10.6084/m9.figshare.23629113.v1
title: Data for " a numerical study on load effect of low-rise buildings in the wind-blown sand environment"

description: The transportation process of wind-blown sand occurs frequently in arid and semi-arid regions. The combined action of wind and sand impact load in the wind-sand environment poses a serious threat to the safety of construction, transportation and other engineering infrastructures. However, most of the current structural design only considers the effect of wind, and there is few detailed research on the surface load distribution of structures caused by sand impact, which leads to the uncertainty of the safety assessment of engineering structures in wind-sand areas. This work focuses on the wind load and sand load characteristics of low-rise buildings in wind-blown sand environment.
DOI: 10.34740/kaggle/dsv/6086461
title: Pypi sython pandaerror handling
DOI: 10.25493/kp2j-fz4
title: Perturbational Complexity Index (PCI) protocol in the mouse (in vivo) and ferret (in vitro) (v1)

description: The spatiotemporal complexity of the activity expressed by the cerebral cortex is a highly revealing feature of the underlying network’s state. Quantifying cortical complexity can be achieved by perturbing the system and investigating the causal interactions that follow. Here, by means of two different projects, we aimed to assess cortical complexity differences across brain states, anesthesia levels, and stimulus location using in vitro and in vivo experiments, ultimately contributing to a better understanding of the underlying network dynamics and their modulation. Firstly, we explore the differences in cortical complexity between the effect of the ventral posteromedial thalamic nucleus (VPM) stimulation and the motor (M1/M2) cortex. Secondly, we explore the role of inhibition in cortical complexity using in vitro experiments. We investigate the influence of GABAergic inhibition, mediated by GABA<sub>A</sub> or GABA<sub>B</sub> receptors, on cortical complexity, departing from a desynchronized state that mimics wakefulness.
DOI: 10.25493/pydg-9kz
title: Control of cortical slow oscillations and epileptiform discharges by photoswitchable type 1 muscarinic ligands (v1)

description: Acetylcholine is a key brain neurotransmitter, involved in processes such as wakening and cognitive functions. Its dysregulation has been linked to several neurological disorders, highlighting the relevance of cholinergic control in both basic research and clinical neurology. Here we modulated neuronal activity using cholinergic photopharmacology. We used selective type-1 muscarinic (M1) photoswitchable drugs, the agonist benzyl quinolone carboxylic acid–azo-iperoxo BAI and the antagonist cryptozepine-2, to evaluate their impact on cortical network activity by light-control. We confirmed M1 selectivity of BAI in cell cultures, to next demonstrate its ability to increase the frequency of slow oscillatory activity under light activation in cortical networks in vitro and in vivo. Additionally, we found that cryptozepine-2 suppressed M1-mediated epileptiform seizures through illumination. These results provide new insights on the M1-cholinergic effects in the cortex and open opportunities for light-based pharmacotherapies with high spatiotemporal resolution, enabling a precise modulation of brain activity in health and disease.
DOI: 10.5281/zenodo.8115373
title: Supporting data for "Linearity of the climate system response to raising and lowering West Antarctic and coastal Antarctic topography" by Andrew G. Pauling, Cecilia M. Bitz and Eric J. Steig

description: Contains the model output and topography files necessary to reproduce the results of "Linearity of the climate system response to raising and lowering West Antarctic and coastal Antarctic topography" by Andrew G. Pauling, Cecilia M. Bitz and Eric J. Steig. Published in Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0416.1. Please download and extract the data from each of the tar.gz.files. A description of the directories, run names, and use of the topography files is given in the file readme.txt within the dataset.
DOI: 10.5281/zenodo.8115374
title: Supporting data for "Linearity of the climate system response to raising and lowering West Antarctic and coastal Antarctic topography" by Andrew G. Pauling, Cecilia M. Bitz and Eric J. Steig

description: Contains the model output and topography files necessary to reproduce the results of "Linearity of the climate system response to raising and lowering West Antarctic and coastal Antarctic topography" by Andrew G. Pauling, Cecilia M. Bitz and Eric J. Steig. Published in Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0416.1. Please download and extract the data from each of the tar.gz.files. A description of the directories, run names, and use of the topography files is given in the file readme.txt within the dataset.
DOI: 10.26180/23632326
title: A Phase 2 Randomised Controlled Trial of Sodium Selenate as a Disease Modifying Treatment for Chronic Drug-resistant Temporal Lobe Epilepsy - The SeLECT Study

description: Sodium selenate, 15mg three times a day, 26 weeks, oral tablet. Participants will be required to return unused tablets to site each visit to monitor compliance with dosing regimen.