cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/4c83c5742390e3b4ccf2eb55c882761b
title: Herbivory of eight common species at El Verde from 1994 to 1996

description: In seasonal and aseasonal tropical forests, leaf production is often highly synchronous, concentrating herbivore resources in only a few months. As a result levels of herbivory on young leaves can vary throughout the year. To determine the importance of food availability on herbivory, leaf phenology and leaf damage were studied in an aseasonal forest, Luquillo Experimental Forest (LEF) in Puerto Rico. Leaf production was associated with an increase in light availability but leaf damage was relatively constant throughout the year. Leaf phenology and leaf damage was compared between LEF and a seasonal forest, Barro Colorado Island (BCI) PanamÃ¡. In BCI leaf production was associated with increases in water availability and leaf damage was significantly higher on leaves produced after the peak in leaf production. Leaf damage was significantly lower in LEF in comparison with BCI. Differences in the trophic structure between the two forests may explain the differences in levels of leaf damage. The density of frogs and lizards in LEF was approximately an order of magnitude greater than in BCI and these predators may limit the populations of herbivores and reduce leaf damage levels. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.10084767
title: SMS-TRIS

description: Dataset used for the paper "Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction".Code at Natithan/SMS-TRIS (github.com)
DOI: 10.5281/zenodo.10084766
title: SMS-TRIS

description: Dataset used for the paper "Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction".Code at Natithan/SMS-TRIS (github.com)
DOI: 10.6084/m9.figshare.24574756
title: <b>Relation</b><b>ship </b><b>Between Desire and Sexual Satisfaction in Different Typologies of Adherence to the Sexual Double Standard</b>

description: <b>Relation</b><b>ship </b><b>Between Desire and Sexual Satisfaction in Different Typologies of Adherence to the Sexual Double Standard</b>This study was approved by the Ethics Committee in Human Research at the University of Granada.
DOI: 10.6084/m9.figshare.24574756.v1
title: <b>Relation</b><b>ship </b><b>Between Desire and Sexual Satisfaction in Different Typologies of Adherence to the Sexual Double Standard</b>

description: <b>Relation</b><b>ship </b><b>Between Desire and Sexual Satisfaction in Different Typologies of Adherence to the Sexual Double Standard</b>This study was approved by the Ethics Committee in Human Research at the University of Granada.
DOI: 10.5281/zenodo.10144126
title: BckFT3_hvg2023

description: 4.0K Rest/hrep0
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11M Rest/backup_IndvAnalysis/basics/.ipynb_checkpoints
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66M Rest/backup_IndvAnalysis/data
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36K Rest/rna_only/log
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48K Rest/Notebooks/AntoniousRBDadsorption/wGlycans/log
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101M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/rotated/plots
63M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/rotated/basics/.ipynb_checkpoints
44K Rest/Notebooks/AntoniousRBDadsorption/wGlycans/rotated/basics/__pycache__
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DOI: 10.5281/zenodo.10144127
title: BckFT3_hvg2023

description: 4.0K Rest/hrep0
72M Rest/GRO_files/3model
110M Rest/GRO_files/4model
181M Rest/GRO_files
11M Rest/backup_IndvAnalysis/basics/.ipynb_checkpoints
36K Rest/backup_IndvAnalysis/basics/__pycache__
8.5G Rest/backup_IndvAnalysis/basics
66M Rest/backup_IndvAnalysis/data
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80K Rest/analysis_0model/RMSD
188K Rest/analysis_0model/RGYR
16K Rest/analysis_0model/RMSF
52K Rest/analysis_0model/DIS_RNA_PHOS
340K Rest/analysis_0model
36K Rest/rna_only/log
508K Rest/rna_only/toppar
6.1G Rest/rna_only
28K Rest/simAnalysisSharedwIvan
8.0K Rest/simLaunchingABvirmat
2.0G Rest/repUpload
24K Rest/__pycache__
744K Rest/data
16M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/vertical/.ipynb_checkpoints
114M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/vertical/plots
113M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/vertical/basics/.ipynb_checkpoints
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48K Rest/Notebooks/AntoniousRBDadsorption/wGlycans/log
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101M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/rotated/plots
63M Rest/Notebooks/AntoniousRBDadsorption/wGlycans/rotated/basics/.ipynb_checkpoints
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DOI: 10.5281/zenodo.8135837
title: Synthetic and real EEG datasets for closed-loop neuroscience

description: The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the closed loop neuroscience experiments and for EEG forecasting task. The dataset consists of a real data and 5 options of the synthetic data of varying difficulty. The real dataset consists of 25 people involved into the P4 alpha neurofeedback training. Its total size is about 16.3 hours. A more detailed instruction for this file is provided in the file Real dataset instructions.txt. Synthetic data is generated in 5 different ways: sine wave with white noise, sine wave with pink noise, narrow-band filtered pink noise sample with pink noise, state-space model with white noise and state-space model with pink noise. Each of these datasets has about 34.5 hours of data. It is generated similarly to (Wodeyar et al, 2021). A more detailed instruction for the synthetic dataset can be found in the file Synthetic datasets instructions.txt.
description: {"references": ["Anirudh Wodeyar, Mark Schatza, Alik S Widge, Uri T Eden, Mark A Kramer (2021) A state space modeling approach to real-time phase estimation eLife 10:e68803 https://doi.org/10.7554/eLife.68803"]}
DOI: 10.48328/tudatalib-1272
title: Analytical and numerical validation of a plate-plate tribometer for measuring wall slip

description: Data set and case setup for verification and validation numerical studies of the simplified analytical model that predicts the slip length. The plate tribometer is specially designed to measure viscosity and slip length simultaneously for lubrication gaps in the range of approximately 10 micrometres at relevant temperatures and surface roughness. We investigate the inlet effect of the flow on the results by varying the inner radius of the fluid inlet pipe. The outcomes of numerical simulations suggest that variations in the diameter of this inner radius have minimal impact on the results. Specifically, any alterations in the velocity profile near the inlet, brought about by changes in the diameter, quickly revert to the profile predicted by the analytical model. The main conclusion drawn from this study is the validation of the Navier-Slip boundary condition as an effective model for technical surface roughness in CFD simulations and the negligible influence of the inlet effect on the fluid dynamics between the tribometer's plates.
DOI: 10.5522/04/24559537
title: Drug target Mendelian randomisation to compare the effects of cholesteryl ester transfer protein (CETP) in individuals of East Asian and European ancestries

description: CETP correlation matrices in the East Asian and European populations (GRCh37) used for linkage disequilibrium pruning. These correlation matrices and summary statistics for LDL-C and HDL-C from Global Lipids Genetics Consortium (GLGC 2021) were used to generate ancestry specific CETP locus zoom plots. <br> CETP inhibitors are a class of lipid-lowering drugs in development for treatment of coronary heart disease (CHD). Genetic studies in East Asian ancestry have interpreted the lack of CETP signal with LDL-C and lack of drug target Mendelian randomization (MR) effect on CHD as evidence that CETP inhibitors might not be effective in East Asian participants. Capitalizing on recent increases in sample size of East Asian genetic studies, we conducted a drug target MR analysis, scaled to a standard deviation increase in HDL-C. Despite finding evidence for a possible absence of effect of lower CETP levels on LDL-C, systolic blood pressure and pulse pressure in East Asians (interaction p-values &lt; 1.8×10-3), effects on cardiovascular outcomes were similarly protective in both ancestry groups. In conclusion, on-target inhibition of CETP is anticipated to decrease cardiovascular disease in individuals of both European and East Asian ancestries.
DOI: 10.5522/04/24559537.v1
title: Drug target Mendelian randomisation to compare the effects of cholesteryl ester transfer protein (CETP) in individuals of East Asian and European ancestries

description: CETP correlation matrices in the East Asian and European populations (GRCh37) used for linkage disequilibrium pruning. These correlation matrices and summary statistics for LDL-C and HDL-C from Global Lipids Genetics Consortium (GLGC 2021) were used to generate ancestry specific CETP locus zoom plots. <br> CETP inhibitors are a class of lipid-lowering drugs in development for treatment of coronary heart disease (CHD). Genetic studies in East Asian ancestry have interpreted the lack of CETP signal with LDL-C and lack of drug target Mendelian randomization (MR) effect on CHD as evidence that CETP inhibitors might not be effective in East Asian participants. Capitalizing on recent increases in sample size of East Asian genetic studies, we conducted a drug target MR analysis, scaled to a standard deviation increase in HDL-C. Despite finding evidence for a possible absence of effect of lower CETP levels on LDL-C, systolic blood pressure and pulse pressure in East Asians (interaction p-values &lt; 1.8×10-3), effects on cardiovascular outcomes were similarly protective in both ancestry groups. In conclusion, on-target inhibition of CETP is anticipated to decrease cardiovascular disease in individuals of both European and East Asian ancestries.
DOI: 10.5517/ccdc.csd.cc2g5sp4
title: CCDC 2269686: Experimental Crystal Structure Determination

description: Related Article: Sven M. Papidocha, Hendrik H. Bulthaupt, Erick M. Carreira|2023|Angew.Chem.,Int.Ed.|62|e202310149|doi:10.1002/anie.202310149
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: 10.5281/zenodo.8135836
title: Synthetic and real EEG datasets for closed-loop neuroscience

description: The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the closed loop neuroscience experiments and for EEG forecasting task. The dataset consists of a real data and 5 options of the synthetic data of varying difficulty.
The real dataset consists of 25 people involved into the P4 alpha neurofeedback training. Its total size is about 16.3 hours. A more detailed instruction for this file is provided in the file Real dataset instructions.txt.
Synthetic data is generated in 5 different ways: sine wave with white noise, sine wave with pink noise, narrow-band filtered pink noise sample with pink noise, state-space model with white noise and state-space model with pink noise. Each of these datasets has about 34.5 hours of data. It is generated similarly to (Wodeyar et al, 2021). A more detailed instruction for the synthetic dataset can be found in the file Synthetic datasets instructions.txt. 
In LowLatencyEEGFiltering.zip one can find a code for the models used in our paper for low-latency filtering with this data.
NOTE: Code is also published in the following GitHub repository: https://github.com/ivsemenkov/LowLatencyEEGFiltering
 
If you use our data or code please cite: https://www.doi.org/10.1088/1741-2552/acf7f3
DOI: 10.5281/zenodo.8207948
title: Synthetic and real EEG datasets for closed-loop neuroscience

description: The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the closed loop neuroscience experiments and for EEG forecasting task. The dataset consists of a real data and 5 options of the synthetic data of varying difficulty.
The real dataset consists of 25 people involved into the P4 alpha neurofeedback training. Its total size is about 16.3 hours. A more detailed instruction for this file is provided in the file Real dataset instructions.txt.
Synthetic data is generated in 5 different ways: sine wave with white noise, sine wave with pink noise, narrow-band filtered pink noise sample with pink noise, state-space model with white noise and state-space model with pink noise. Each of these datasets has about 34.5 hours of data. It is generated similarly to (Wodeyar et al, 2021). A more detailed instruction for the synthetic dataset can be found in the file Synthetic datasets instructions.txt. 
In LowLatencyEEGFiltering.zip one can find a code for the models used in our paper for low-latency filtering with this data.
NOTE: Code is also published in the following GitHub repository: https://github.com/ivsemenkov/LowLatencyEEGFiltering
 
If you use our data or code please cite: https://www.doi.org/10.1088/1741-2552/acf7f3
DOI: 10.5281/zenodo.10023420
title: Discard
DOI: 10.5281/zenodo.10023421
title: Discard
DOI: 10.5519/qd.6s76mj4w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.5519/qd.t0h3r6wx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (98 records)
DOI: 10.18434/mds2-2379
title: Data from "Full-Scale Experiments to Demonstrate Flammability Risk of Residential Upholstered Furniture and Mitigation Using Barrier Fabric"
DOI: 10.18434/mds2-2378
title: Data from "Flaming Tests on Upholstered Chair Mock-Ups"
DOI: 10.6084/m9.figshare.24574900
title: Untitled Item

description: Modern Cascadia foraminifera database.
DOI: 10.6084/m9.figshare.24574900.v1
title: Untitled Item

description: Modern Cascadia foraminifera database.
DOI: 10.25582/data.2024-04.3088175/2554912
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088176/2554913
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088177/2554914
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088178/2554915
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088179/2554916
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088180/2554917
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088181/2554918
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088182/2554919
title: Data for EMSL Project 51287 from April 2024
DOI: 10.7910/dvn/gt1b2/aqupim
title: petitions.xlsx
DOI: 10.7910/dvn/gyohq/il83lb
title: petitions.xlsx
DOI: 10.7910/dvn/ijafn/1mmipz
title: petitions.xlsx
DOI: 10.7910/dvn/ksxgtl/2korpr
title: petitions.xlsx
DOI: 10.7910/dvn/vhkyn/biarak
title: petitions.xlsx
DOI: 10.7910/dvn/xnykp/u6wabj
title: petitions.xlsx
DOI: 10.7910/dvn/4bvxu/w24das
title: petitions.xlsx
DOI: 10.7910/dvn/4yyyt/3jasfh
title: petitions.xlsx
DOI: 10.7910/dvn/7ih2qn/mda86p
title: petitions.xlsx
DOI: 10.7910/dvn/fmmzq/uueabf
title: petitions.xlsx
DOI: 10.7910/dvn/jzgaq/m7dqca
title: petitions.xlsx
DOI: 10.7910/dvn/kft8ez/fzgynn
title: pcomments_text.json.bz2
DOI: 10.7910/dvn/kft8ez/l3o18f
title: scratch_data_release_scripts-20161127.tar.bz2
DOI: 10.7910/dvn/kft8ez/naiutu
title: galleries_text.json.bz2
DOI: 10.7910/dvn/kft8ez/zkyfoy
title: project_block_stacks.json.bz2
DOI: 10.7910/dvn/kjbh8/nnpjaj
title: petitions.xlsx
DOI: 10.7910/dvn/kjsff/ls392v
title: petitions.xlsx
DOI: 10.7910/dvn/mcco0/i4ry25
title: petitions.xlsx
DOI: 10.7910/dvn/mzk42/mtkyfa
title: petitions.xlsx
DOI: 10.7910/dvn/nituu/8jnoyp
title: petitions.xlsx
DOI: 10.7910/dvn/t4iuls/jqej22
title: petitions.xlsx
DOI: 10.7910/dvn/tvba5/t4mfie
title: petitions.xlsx
DOI: 10.7910/dvn/yt8ob/meu1jl
title: petitions.xlsx
DOI: 10.7910/dvn/zk7al/ohazi6
title: petitions.xlsx
DOI: 10.7910/dvn/zpxos/fjk3qf
title: petitions.xlsx
DOI: 10.7910/dvn/gsxxp/tmkpfs
title: petitions.xlsx
DOI: 10.7910/dvn/hpmmc/ykdnyp
title: petitions.xlsx
DOI: 10.7910/dvn/k5nmm/k2tdah
title: petitions.xlsx
DOI: 10.7910/dvn/notgb/kcqxpy
title: petitions.xlsx
DOI: 10.7910/dvn/py2ne/vzeohz
title: petitions.xlsx
DOI: 10.7910/dvn/s92md/dbtl3n
title: petitions.xlsx
DOI: 10.7910/dvn/tm3dc/rsybfm
title: petitions.xlsx
DOI: 10.7910/dvn/wclya/kce2oc
title: petitions.xlsx
DOI: 10.7910/dvn/24vht/ztzy3l
title: petitions.xlsx
DOI: 10.7910/dvn/5vtjj/28cdwm
title: petitions.xlsx
DOI: 10.7910/dvn/ejako/ch9hyz
title: petitions.xlsx
DOI: 10.7910/dvn/hckvo/bnyadc
title: petitions.xlsx
DOI: 10.7910/dvn/kft8ez/qsedxu
title: project_media.json.bz2
DOI: 10.7910/dvn/pwq2v/l28m6p
title: petitions.xlsx
DOI: 10.7910/dvn/uicav/hre9qo
title: petitions.xlsx
DOI: 10.5281/zenodo.1481180
title: Hubble Cos Nuv Dataset

description: COS NUV spectrum, GD71 (Star).
DOI: 10.5281/zenodo.1481181
title: Hubble Cos Nuv Dataset

description: COS NUV spectrum, GD71 (Star).
DOI: 10.7910/dvn/2pss8/fay12w
title: petitions.xlsx
DOI: 10.7910/dvn/4onj3/bionb9
title: petitions.xlsx
DOI: 10.7910/dvn/6sk4g/d4f0ks
title: petitions.xlsx
DOI: 10.7910/dvn/83skd/nqn6z7
title: petitions.xlsx
DOI: 10.7910/dvn/8y7ay/dwdpgb
title: petitions.xlsx
DOI: 10.7910/dvn/gkmvh/1fvknp
title: petitions.xlsx
DOI: 10.7910/dvn/mkszf/fvih77
title: petitions.xlsx
DOI: 10.7910/dvn/q5meq/v9ijdh
title: petitions.xlsx
DOI: 10.7910/dvn/snewg/o9kjlp
title: petitions.xlsx
DOI: 10.7910/dvn/td6ki/vhn6cg
title: petitions.xlsx
DOI: 10.7910/dvn/tjngu/nq2jsw
title: petitions.xlsx
DOI: 10.7910/dvn/ysbov/nudadr
title: petitions.xlsx
DOI: 10.7910/dvn/edgbx/45ljo4
title: petitions.xlsx
DOI: 10.7910/dvn/k8vpf/iaker9
title: petitions.xlsx
DOI: 10.7910/dvn/kft8ez/7xzri8
title: project_media.RData
DOI: 10.7910/dvn/ucdfc/4mu1hx
title: petitions.xlsx
DOI: 10.7910/dvn/w5xr4/pvrl9u
title: petitions.xlsx
DOI: 10.7910/dvn/wxuei/nx4rex
title: petitions.xlsx
DOI: 10.7910/dvn/x14dk/ezxk5m
title: petitions.xlsx
DOI: 10.7910/dvn/xwhgv/nuuk7e
title: petitions.xlsx
DOI: 10.25505/fiz.icsd.cc1z628j
title: CSD 1823087: Experimental Crystal Structure Determination

description: Related Article: Timothy Ferreira, Mark D. Smith, Hans-Conrad zur Loye|2018|Inorg.Chem.|57|7797|doi:10.1021/acs.inorgchem.8b00887
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: 10.7910/dvn/2olmh/ihw5sh
title: petitions.xlsx
DOI: 10.7910/dvn/58bsb/wxeowy
title: petitions.xlsx
DOI: 10.7910/dvn/bepro/glup3q
title: petitions.xlsx
DOI: 10.7910/dvn/c0m0n/ucepby
title: petitions.xlsx
DOI: 10.7910/dvn/dm5kq/femuf8
title: petitions.xlsx
DOI: 10.7910/dvn/g5jr0/qnxz4g
title: petitions.xlsx
DOI: 10.7910/dvn/ibchy/r7uxgu
title: petitions.xlsx
DOI: 10.7910/dvn/snxpp/y1vhxg
title: petitions.xlsx
DOI: 10.7910/dvn/wr3hn/6c0gim
title: petitions.xlsx
DOI: 10.7910/dvn/xsq6x/g77bto
title: petitions.xlsx
DOI: 10.25505/fiz.icsd.cc1z6lzr
title: CSD 1823605: Experimental Crystal Structure Determination

description: Related Article: Sheng-Ping Guo|2018|CSD Communication|||
description: Related Article: Yang Chi, Liang-Zhen Rong, Nian-Tzu Suen, Huai-Guo Xue, Sheng-Ping Guo|2018|Inorg.Chem.|57|5343|doi:10.1021/acs.inorgchem.8b00344
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.cc1z6m1v
title: CSD 1823607: Experimental Crystal Structure Determination

description: Related Article: Sheng-Ping Guo|2018|CSD Communication|||
description: Related Article: Yang Chi, Liang-Zhen Rong, Nian-Tzu Suen, Huai-Guo Xue, Sheng-Ping Guo|2018|Inorg.Chem.|57|5343|doi:10.1021/acs.inorgchem.8b00344
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.