cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8162176
title: Supporting Information for the article "Enhanced formation of interstellar complex organic molecules on carbon monoxide ice"

description: Chemical models ("Models.pkl") and structures (*.xyz files, figures 2 and 3) supporting the calculations presented in the article : "Enhanced formation of interstellar complex organic molecules on carbon monoxide ice" The chemical models are stored as a dictionary of dictionaries with the following name per model:<br> <br> e_XXXX_T_YYYY_CR_ZZZZ where XXXX are the values of the epsilon parameter (see original article) sampled for \epsilon=0.5 and \epsilon=1.0 (additionally we release models with \epsilon=0.40, 0.45, 0.55, 0.60, 0.65, not discussed in the original article), YYYY is the dust temperature sampled within np.linspace(8,18, 26) and ZZZZ is the cosmic ray ionization rate, sampled within np.logspace(-18, -15, 22).<br> <br> To open the chemical models, prepare a python script of the type: ++++<br> import pickle<br> <br> def ice(dictionary, name, species): #Similar functions for gas molecules or surface molecules can be defined<br> gas = dictionary[name][f"{species}"]<br> surface = dictionary[name]["J"+f"{species}"+"(1)"]<br> mantle = dictionary[name]["K"+f"{species}"+"(1,1)"]<br> return surface + mantle <br> Data = read_pkl_file('Models.pkl')<br> name = "e_1.00_T_10.0_CR_1.00e-17" #as an example<br> time = ice(Data, name, "Time")<br> CO= ice(Data, name, "CO") print(CO)<br> ++++ <br> Legend for large COMs: Y=CH2OH, X=CH3O, Q=NH2, M=CH2. Please check the reaction network in https://iopscience.iop.org/article/10.1088/0004-637X/765/1/60 for further details. <br> Version 1.0: Revision release, including chemical models and cartesian coordinates supporting Figures 2 and 3 of the manuscript.<br> <br> If you request further data, please do not hesitate to contact us.
DOI: 10.5281/zenodo.8162175
title: Supporting Information for the article "Enhanced formation of interstellar complex organic molecules on carbon monoxide ice"

description: Chemical models ("Models.pkl") and structures (*.xyz files, figures 2 and 3) supporting the calculations presented in the article : "Enhanced formation of interstellar complex organic molecules on carbon monoxide ice" The chemical models are stored as a dictionary of dictionaries with the following name per model:<br> <br> e_XXXX_T_YYYY_CR_ZZZZ where XXXX are the values of the epsilon parameter (see original article) sampled for \epsilon=0.5 and \epsilon=1.0 (additionally we release models with \epsilon=0.40, 0.45, 0.55, 0.60, 0.65, not discussed in the original article), YYYY is the dust temperature sampled within np.linspace(8,18, 26) and ZZZZ is the cosmic ray ionization rate, sampled within np.logspace(-18, -15, 22).<br> <br> To open the chemical models, prepare a python script of the type: ++++<br> import pickle<br> <br> def ice(dictionary, name, species): #Similar functions for gas molecules or surface molecules can be defined<br> gas = dictionary[name][f"{species}"]<br> surface = dictionary[name]["J"+f"{species}"+"(1)"]<br> mantle = dictionary[name]["K"+f"{species}"+"(1,1)"]<br> return surface + mantle <br> Data = read_pkl_file('Models.pkl')<br> name = "e_1.00_T_10.0_CR_1.00e-17" #as an example<br> time = ice(Data, name, "Time")<br> CO= ice(Data, name, "CO") print(CO)<br> ++++ <br> Legend for large COMs: Y=CH2OH, X=CH3O, Q=NH2, M=CH2. Please check the reaction network in https://iopscience.iop.org/article/10.1088/0004-637X/765/1/60 for further details. <br> Version 1.0: Revision release, including chemical models and cartesian coordinates supporting Figures 2 and 3 of the manuscript.<br> <br> If you request further data, please do not hesitate to contact us.
DOI: 10.21227/fx7b-7p46
title: NLOS occlusion UWB TOA ranging dataset in indoor environment

description: we propose a novel Non-Line-of-Sight (NLOS) identification and error-mitigation method for dynamic object positioning and ultra-wideband (UWB) ranging. By applying inverse estimation on known Anchor Points (Aps) and improved unscented Kalman filter (IRUKF), the proposed technology identifies and compensates for NLOS occlusions between tag and APs, reducing positioning errors. The approach has been verified through simulation and experiment, with identification precision of 97.02%. After mitigating errors, we observed significant error reductions of 91.80%, 98.90% in Line-of-sight (LOS), NLOS situations, respectively. Moreover, the developed IRUKF algorithm effectively minimizes mislocalization by 50.48% in harsh scenarios. This data is collected by IMCM laboratory, including "Z", "U", "O" three dynamic tracking positioning trajectories
DOI: 10.15468/56rj3d
title: Ornithology of Maloelap Atoll in Marshall Islands

description: The Pacific Ocean Biological Survey Program (hereafter referred to as POBSP) of the Smithsonian Institution, Washington, D.C., conducted an ecological survey in the Central Pacific Ocean, with particular emphasis on the avifauna. As part of this program, a two month field trip to the Marshall and Gilbert Islands was made in October-November of 1964. Later studies were undertaken in June 1966 and in April-May 1967. This dataset presents a summary of all known bird records from the two island groups. Acknowledgement is made to the U.S. Navy, the U.S. Coast Guard, and the U.S. Military Sea Transport Service, who provided ship transportation for the POBSP field teams. Special acknowledgement for cooperation and assistance is extended. This data was digitised from a report published by the Smithsonian Institute as a pdf found online at https://repository.si.edu/handle/10088/6092
DOI: 10.5281/zenodo.8161946
title: Paired field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size compiled from various estuaries in the United States and Australia

description: Field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size are compiled from various estuaries in the United States and Australia to investigate the utility of combining optical and acoustic backscatter measurements for the estimation of suspended-sediment concentration under changes in floc particle size and density. Theory, analysis, and interpretation of the data is available in Livsey et al (2023). Data collected from the Chesapeake Bay, US were compiled from Fall et al (2022). Data collected on the Brisbane River were collected by Livsey et al (2022). Data collected for all other locations were compiled from Livsey et al (2022). Data collected by Fall et al (2022) utilized a LISST 100x. Data collected by Livsey et al (2022, 2023) utilized a LISST 200x. Data files for each instrument are provided. Funding for this research was provided by an Advance Queensland Industry Research Fellowship, Queensland University of Technology, and Queensland Department of Environment and Science. References Fall, Kelsey A., Massey, Grace M., and Friedrichs, Carl T., (2020). The importance of organic content to fractal floc properties in estuarine surface waters, insights from video, LISST, and pump sampling: Supporting data. Data. William & Mary. https://doi.org/10.25773/7gbc-794 6739 Livsey, D., Turner, R., Grace, P., and Crosswell, & Andy Steven. (2022). Field and laboratory measurements of suspended-sediment particle size and concentration from nine rivers draining to the Great Barrier Reef (1.0). Data. Zenodo. https://doi.org/10.5281/zenodo.6788303 Livsey, D., Turner, R., and Grace, P. (2023). Combining optical and acoustic backscatter measurements for monitoring of fine suspended-sediment concentration under changes in particle size and density. Water Resources Research. https://doi.org/10.1029/2022WR033982
description: {"references": ["Fall, Kelsey A., Massey, Grace M.,\u00a0and Friedrichs, Carl T., (2020). The importance of organic content to fractal floc properties in estuarine surface waters, insights from video, LISST, and pump sampling: Supporting data. Data. William & Mary. https://doi.org/10.25773/7gbc-794 6739", "Livsey, D., Turner, R., Grace, P., and Crosswell, & Andy Steven. (2022). Field and laboratory measurements of suspended-sediment particle size and concentration from nine rivers draining to the Great Barrier Reef (1.0). Data. Zenodo. https://doi.org/10.5281/zenodo.6788303", "Livsey, D., Turner, R., and Grace, P. (2023). Combining optical and acoustic backscatter measurements for monitoring of fine suspended-sediment concentration under changes in particle size and density. Water Resources Research. https://doi.org/10.1029/2022WR033982"]}
DOI: 10.7910/dvn/dhksfs
title: Filtered eIMMR Data (2017-2020) from Sri Lanka: Hospitalization episodes with Skeletal Dysplasia ICD Codes

description: The eIMMR data from Sri Lanka (2017-2020) was filtered to include only hospitalizations with skeletal dysplasia ICD codes. The aim is to provide data to any inquisitive reader who requests it in connection with the research article.
DOI: 10.5281/zenodo.8185509
title: Protocol Hack in Cryptoworld

description: Source: https://defillama.com/hacks Dates: 2020- July 26, 2023 :
DOI: 10.5281/zenodo.8185508
title: Protocol Hack in Cryptoworld

description: Source: https://defillama.com/hacks Dates: 2020- July 26, 2023 :
DOI: 10.6084/m9.figshare.23755575
title: Sample

description: Sample data
DOI: 10.6084/m9.figshare.23755575.v1
title: Sample

description: Sample data
DOI: 10.15151/esrf-es-1300660132
title: Study on hiv-1 glycoprotein

description: We want to get the structure of the HIV glycoprotein ectodomain in complex with a neutralising antibody
DOI: 10.12755/nrct-arc.doc.1997.1
title: (ร่าง) แผนงานวิจัยของชาติตามนโยบายและแนวทางการวิจัยของชาติ ฉบับที่ห้า (พ.ศ. 2540-2544)
DOI: 10.5519/qd.jy3mokiu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.57745/sexxtr
title: data_carabid_traits.tab

description: :unav
DOI: 10.57745/druuwf
title: data_carabid_abundance.tab

description: :unav
DOI: 10.57745/fdihlc
title: Readme.txt

description: :unav
DOI: 10.6084/m9.figshare.23690973
title: OIR_Flat_Mount_Dataset.zip

description: Zip of OIR dataset with the following structure: ROOT -Final dataset (Data dictionary describing age of mice, experiments/doses, and OIR vs NOX for each image) -Healthsheet -Folders: -------Age_Matched_Controls<br> ------- ------- P12 NOX<br> ------- ------- P12 OIR ------- ------- P17 NOX ------- ------- P17 OIR ------- ------- P25 NOX ------- ------- P25 OIR ------- OIRSeg ------- Xin_et_al_Eylea_vs_IgG ------- ------- Aflibercept ------- ------- IgG_Control <br> Each folder contains 3 sub-folders: -Raw: raw full resolution flat-mounted image -512: Scaled raw images to 512x512 -Seg: Vessel segmentations at 512x512 resolution
DOI: 10.6084/m9.figshare.23690973.v2
title: OIR_Flat_Mount_Dataset.zip

description: Zip of OIR dataset with the following structure: ROOT -Dataset.csv (Data dictionary describing age of mice, experiments/doses, and OIR vs NOX for each image) -Folders: -------Age_Matched_Controls<br> ------- ------- P12 NOX <br> ------- ------- P12 OIR ------- ------- P17 NOX ------- ------- P17 OIR ------- ------- P25 NOX ------- ------- P25 OIR ------- OIRSeg ------- Xin_et_al_Eylea_vs_IgG ------- ------- Aflibercept ------- ------- IgG_Control <br> Each folder contains 3 sub-folders: -Raw: raw full resolution flat-mounted image -512: Scaled raw images to 512x512 -Seg: Vessel segmentations at 512x512 resolution
DOI: 10.6084/m9.figshare.23756652
title: Supplementary Material for: Effect of needle-to-puncture time on reperfusion outcome in acute ischemic stroke

description: Introduction To investigate the impact of time interval between start of intravenous thrombolysis (IVT) to start of endovascular thrombectomy (EVT) on stroke outcomes. Methods Data from the Quality Improvement and Clinical Research (QuICR) provincial stroke registry from Alberta, Canada was used to identify stroke patients who received IVT and EVT from January 2015 to December 2019. We assessed the impact of the time interval between IVT bolus to EVT puncture (needle-to-puncture times “NPT”) on outcomes. Radiological outcomes included successful initial recanalization (revised arterial occlusive lesion 2b–3), successful initial and final reperfusion (modified thrombolysis in cerebral infarction 2b–3). Clinical outcomes were 90-day modified Rankin Scale (mRS) and mortality. Results Of the 680 patients, 233 patients (median age 73, 41% females) received IVT+EVT. Median NPT was 38 minutes (IQR, 24–60). Arrival during working hours was independently associated with shorter NPT (P &lt; 0.001). Successful initial recanalization, initial and final reperfusion were observed in 12%, 10% and 83% of patients, respectively. NPT was not associated with initial successful recanalization (OR 0.97 for every 10-minute increase of NPT, 95% CI 0.91 – 1.04), initial successful reperfusion (OR 1.01, 95% CI 0.96 – 1.07), or final successful reperfusion (OR 1.03, 95% CI 0.97 – 1.08). Every 10-minute delay in NPT was associated with lower odds of functional independence at 90 days (mRS ≤ 2; OR 0.93; 95% CI, 0.88–0.97). Patients with shorter NPT (≤ 38 min) had lower 90-day mRS scores (median 1 vs 3; OR 0.54 [0.31–0.91]) and had lower mortality (6.1% vs 21.2%; OR, 0.23 [0.10–0.57]) than the longer NPT group. Conclusion Shorter NPT did not impact reperfusion outcomes, but was associated with better clinical outcome.
DOI: 10.6084/m9.figshare.23756652.v1
title: Supplementary Material for: Effect of needle-to-puncture time on reperfusion outcome in acute ischemic stroke

description: Introduction To investigate the impact of time interval between start of intravenous thrombolysis (IVT) to start of endovascular thrombectomy (EVT) on stroke outcomes. Methods Data from the Quality Improvement and Clinical Research (QuICR) provincial stroke registry from Alberta, Canada was used to identify stroke patients who received IVT and EVT from January 2015 to December 2019. We assessed the impact of the time interval between IVT bolus to EVT puncture (needle-to-puncture times “NPT”) on outcomes. Radiological outcomes included successful initial recanalization (revised arterial occlusive lesion 2b–3), successful initial and final reperfusion (modified thrombolysis in cerebral infarction 2b–3). Clinical outcomes were 90-day modified Rankin Scale (mRS) and mortality. Results Of the 680 patients, 233 patients (median age 73, 41% females) received IVT+EVT. Median NPT was 38 minutes (IQR, 24–60). Arrival during working hours was independently associated with shorter NPT (P &lt; 0.001). Successful initial recanalization, initial and final reperfusion were observed in 12%, 10% and 83% of patients, respectively. NPT was not associated with initial successful recanalization (OR 0.97 for every 10-minute increase of NPT, 95% CI 0.91 – 1.04), initial successful reperfusion (OR 1.01, 95% CI 0.96 – 1.07), or final successful reperfusion (OR 1.03, 95% CI 0.97 – 1.08). Every 10-minute delay in NPT was associated with lower odds of functional independence at 90 days (mRS ≤ 2; OR 0.93; 95% CI, 0.88–0.97). Patients with shorter NPT (≤ 38 min) had lower 90-day mRS scores (median 1 vs 3; OR 0.54 [0.31–0.91]) and had lower mortality (6.1% vs 21.2%; OR, 0.23 [0.10–0.57]) than the longer NPT group. Conclusion Shorter NPT did not impact reperfusion outcomes, but was associated with better clinical outcome.
DOI: 10.34740/kaggle/dsv/6196736
title: Contrastive Language Image Pretraining by openai
DOI: 10.23729/f2a5333b-196e-46cc-aeaa-15f1ad161315
title: National Forest Inventory 11 field plot data
title: Valtakunnan metsien inventointi 11

description: National Forest Inventory (NFI) is a forest monitoring system based on systematic sampling on all land. Nowadays, NFI is repeated in every 5 years. These data are from the 11th NFI cycle (2009-2013). One fifth of the NFI11 field plot clusters are permanent, 4 fifths temporary. These data contains only the temporary field plots measured in forest land or poorly produtive forest land. Another restriction of the data is that field plots at the border of two land use or forest stand borders are excluded. The data contains few selected variables describing the forest stand and volume of growing stock (by species group) measured at the plot location. Because the data are only a sub-sample of the full NFI data it cannot be used for calculating unbiased forest resource statistics. These selected data may be used for example as a ground truth data for remote sensing or for validation of map data.
description: Valtakunnan metsien inventointi (VMI) on tilastolliseen otantaan pohjautuva inventointi, joka perustuu systemaattiseen koealojen mittaukseen koko Suomesta. Nykyään VMI toistetaan viiden vuoden välein. Nämä tiedot ovat 11. VMI-syklistä (2009-2013). VMI11:sta koealoista viidesosa on pysyviä, ja neljäviidesosaa tilapäisiä. Nämä tiedot sisältävät vain tilapäisten koealojen mittaukset metsämaalla tai huonosti tuottavalla metsämaalla. Rajoituksena aineistolle on, että kahden maankäytön tai metsikön rajalla olevat koealat on jätetty pois. Aineisto sisältää muutamia valikoituja muuttujia, jotka kuvaavat koealan metsikköä ja puuston kasvua (lajiryhmittäin). Koska tiedot ovat vain osaotos VMI:n täydestä tiedosta, sitä ei voida käyttää puolueettoman metsävaratilaston laskennassa. Näitä valittuja tietoja voidaan käyttää esimerkiksi perustietona kaukokartoitusta varten tai karttatietojen validointiin.
DOI: 10.57967/hf/0930
title: Gita1gpt
DOI: 10.5281/zenodo.8185579
title: Observational dataset of snowfall events in 20160121 and 20180104 by polarimetric radar and 2-dimensional vedio disdrometer

description: Observational dataset of snowfall events in 20160121 and 20180104 by polarimetric radar and 2-dimensional vedio disdrometer used for the Manuscript: "Potential of Snowfall Nowcasting Using Polarimetric Radar Data and Its Link to Ice Microphysics: Study of Two Snowstorms in East China". QVP.zip represents the quasi-vertical profiles composited from NUIST CPOL at the 19.5-degree elevation. VAD.zip is the velocity azimuth displays (VADs) estimated from radar volume scans, using the method by Matejka and Srivastava (1991). Traj_ele_1p5.zip is the reflectivity factor at the trajectory final location estimated by VAD winds at the 1.5-degree elevation. Snow_data.zip is the observations of snow particles by NJU 2DVD. The files that end with .pkl can be read by python joblib module. The files that end with .nc are in Netcdf format.
DOI: 10.5281/zenodo.8185578
title: Observational dataset of snowfall events in 20160121 and 20180104 by polarimetric radar and 2-dimensional vedio disdrometer

description: Observational dataset of snowfall events in 20160121 and 20180104 by polarimetric radar and 2-dimensional vedio disdrometer used for the Manuscript: "Potential of Snowfall Nowcasting Using Polarimetric Radar Data and Its Link to Ice Microphysics: Study of Two Snowstorms in East China". QVP.zip represents the quasi-vertical profiles composited from NUIST CPOL at the 19.5-degree elevation. VAD.zip is the velocity azimuth displays (VADs) estimated from radar volume scans, using the method by Matejka and Srivastava (1991). Traj_ele_1p5.zip is the reflectivity factor at the trajectory final location estimated by VAD winds at the 1.5-degree elevation. Snow_data.zip is the observations of snow particles by NJU 2DVD. The files that end with .pkl can be read by python joblib module. The files that end with .nc are in Netcdf format.
DOI: 10.6084/m9.figshare.23301590.v1
title: Assessing the vulnerability of global dryland birds to heat waves

description: As global average surface temperature increases, extreme climatic events (e.g., heat waves) are becoming more frequent and intense, which can drive population responses such as rapid population declines and/or shifts in species distributions. However, extreme climatic events are largely ignored in conservation plans. Birds are very susceptible to heat waves, especially in dryland ecosystems. Understanding which birds are most vulnerable to heat waves and where these birds occur can offer a scientific basis for adaptive management and conservation. We assessed the relative vulnerability of 1,167 dryland bird species to heat waves based on a trait-based approach. 61% (715/1,167) of bird species are estimated to be vulnerable to heat waves (275 highly vulnerable, 14 extremely vulnerable). 93.4% (668/715) of bird species identified as vulnerable to heatwave impacts are currently considered non-threatened by the IUCN, which suggests that many species will likely be threatened with intensifying climate change. We identified five hotspot areas of vulnerable species, 176 vulnerable birds are distributed in Australia; 146 in Eastern Africa (Ethiopia, Somalia, Kenya); 148 in Southern Africa (Botswana, Namibia and South Africa); 81 in Central Asia (Afghanistan, Tajikistan, Turkmenistan, Uzbekistan), 71 in the southwestern United States. Populations of vulnerable species recorded in the Living Planet Database were found to be declining significantly faster than those of non-vulnerable species (p = 0.042) after heatwavesheat waves occurred. In contrast, no significant difference in population trends between vulnerable and non-vulnerable species was detected (p = 0.67) when no heatwave occurred. This suggests that our framework can correctly identify vulnerable species, and that heatwavesheat waves are already impacting the population trends of these vulnerable species. Our findings will help prioritize heatwave-vulnerable birds in dryland ecosystems in risk mitigation and adaptation management as the frequency of heat waves accelerates in the coming decades.
DOI: 10.5281/zenodo.8185513
title: miroc6.amip.run02.tar.gz

description: Archive of the MIROC6 AMIP-trend experiment for 1979-2013 (member 2) used in Watanabe et al. (2023, GRL). The data format is not netCDF so please ask Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp) when you would like to analyze them. Alternatvely, the Fortran codes and GrADS scripts for converting the data are available at https://ccsr.aori.u-tokyo.ac.jp/~hiro/data/amip-trend/.
DOI: 10.5281/zenodo.8185512
title: miroc6.amip.run02.tar.gz

description: Archive of the MIROC6 AMIP-trend experiment for 1979-2013 (member 2) used in Watanabe et al. (2023, GRL). The data format is not netCDF so please ask Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp) when you would like to analyze them. Alternatvely, the Fortran codes and GrADS scripts for converting the data are available at https://ccsr.aori.u-tokyo.ac.jp/~hiro/data/amip-trend/.
DOI: 10.14473/csda/nckcxo/2eajme
title: D_CSDA00322.pdf

description: :unav
DOI: 10.14473/csda/nckcxo/8zglhp
title: Q_CSDA00322.pdf

description: :unav
DOI: 10.14473/csda/nckcxo/zrru2l
title: University students during COVID-19 pandemic.tab

description: :unav
DOI: 10.14473/csda/nckcxo/mw4c2i
title: TI_CSDA00322.pdf

description: :unav
DOI: 10.14473/csda/jbddd3/hkyflh
title: D_CSDA00319.pdf

description: Dotazník Předvolební výzkum 2021 - 2. vlna
DOI: 10.14473/csda/jbddd3/rixdag
title: Volby do PS 2021_predvolebni_vyzkumy_Data_2. vlna_FIN1.tab

description: Data