cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29y2mz
title: CCDC 2143111: Experimental Crystal Structure Determination

description: Related Article: M. Woźny, D. Trzybiński, K. Dąbrowa, J. Narodowiec, K. Woźniak|2022|Org.Biomol.Chem.|20|5308|doi:10.1039/D2OB00851C
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.cc29y2n0
title: CCDC 2143112: Experimental Crystal Structure Determination

description: Related Article: M. Woźny, D. Trzybiński, K. Dąbrowa, J. Narodowiec, K. Woźniak|2022|Org.Biomol.Chem.|20|5308|doi:10.1039/D2OB00851C
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.cc29ys35
title: CCDC 2143777: Experimental Crystal Structure Determination

description: Related Article: Xiao Yang, Yanping Xia, Jinghui Tong, Lu Ouyang, Yinlong Lai, Renshi Luo, Jianhua Liao|2022|Org.Biomol.Chem.|20|5239|doi:10.1039/D2OB00612J
description: Related Article: Jianhua Liao|2022|CSD Communication|||
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.cc2bd5c9
title: CCDC 2156650: Experimental Crystal Structure Determination

description: Related Article: Sandip Kundal, Gopal Rana, Abhishek Kar, Umasish Jana|2022|Org.Biomol.Chem.|20|5234|doi:10.1039/D2OB00502F
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.cc26c6yr
title: CCDC 2036574: Experimental Crystal Structure Determination

description: Related Article: Mickaele Bonneau, Christophe Lavenn, Jia-Jia Zheng, Alexandre Legrand, Tomofumi Ogawa, Kunihisa Sugimoto, Francois-Xavier Coudert, Regis Reau, Shigeyoshi Sakaki, Ken-ichi Otake, Susumu Kitagawa|2022|Nature Chemistry|14|816|doi:10.1038/s41557-022-00928-x
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.cc26c6zs
title: CCDC 2036575: Experimental Crystal Structure Determination

description: Related Article: Mickaele Bonneau, Christophe Lavenn, Jia-Jia Zheng, Alexandre Legrand, Tomofumi Ogawa, Kunihisa Sugimoto, Francois-Xavier Coudert, Regis Reau, Shigeyoshi Sakaki, Ken-ichi Otake, Susumu Kitagawa|2022|Nature Chemistry|14|816|doi:10.1038/s41557-022-00928-x
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.cc2bh5np
title: CCDC 2159542: Experimental Crystal Structure Determination

description: Related Article: Sofia O. Samultceva, Marina Yu. Dvorko, Dmitrii A. Shabalin, Igor’ A. Ushakov, Alexander V. Vashchenko, Elena Yu. Schmidt, Boris A. Trofimov|2022|Org.Biomol.Chem.|20|5325|doi:10.1039/D2OB00854H
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.6803920
title: ARIA - Accessible Rich Internet Applications Landmarks classified dataset

description: ARIA Landmarks classified dataset. ARIA Landmarks are regions of web applications that can be accessed by specific keyboard shortcuts and are specially useful for blind users. They comprise the banner, complementary, contentinfo, form, main, navigation, region and search classes. In the dataset, samples represent DOM elements of web applications with different attributes extracted when these elements are rendered in the browser.
DOI: 10.15139/s3/csjgpy
title: Contra Costa County Vision Zero: Systemic Safety Analysis Report (2022). Contra Costa, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/pp1mev
title: Vision Zero Atlanta: Annual Report Interim Acition Plan

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/ldfz9j
title: City of San Jose Vision Zero Action Plan (2020). San Jose, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/qbv2xs
title: Vision Zero Strategic Plan 2020-2025 (2020). San Diego, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/o9gwyd
title: Vision Zero Action Plan (2021). Tampa, Florida

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/nvtrlt
title: City of Watsonville Vision Zero Action Plan 2021 (2021). Watsonville, CA

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/owu6xj
title: Salinas Vision Zero Action Plan (2021). Salinas, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/xcwcnl
title: Palm Beach Transportation Planning Agency Vision Zero Action Plan (2019). Palm Beach, Florida

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.5281/zenodo.6803950
title: Mosquito Tagging Using DNA-Barcoded Nanoporous Protein Microcrystals

description: Contains raw data for the publication titled 'Mosquito Tagging Using DNA Barcoded Nanoporous Protein Microcrystals'.
DOI: 10.6084/m9.figshare.19747495
title: Rock n’ Seeds: a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation

description: The present dataset includes information for 16 seed traits from 383 taxa in 148 genera, 50 families and 25 orders from Brazilian rock outcrop vegetation. Data was collected in several study sites across Brazil, including locations from all six Brazilian biomes, namely Atlantic Forest, Amazon, Caatinga, Cerrado, Pampa and Pantanal. The most represented families in the database are Melastomataceae (67 taxa), Fabaceae (38) and Velloziaceae (36), with ~37% of all reported species. The 16 seed traits include two dispersal, six production, four morphological, two biophysical and two germination traits. The traits with the highest number of records are the presence/absence of primary dormancy (499 records), dispersal syndrome (497) and dormancy class (353). Additionally, Rock n' Seeds compiles the primary data of 48 germination experiments for a total of 10,187 records. Experiments available in this database include tests that assessed the effect of different dormancy-breaking treatments (e.g., scarification and hormone application) and germination responses to various abiotic (e.g., temperature, photoperiod, and fire-related cues) and biotic (e.g., intraspecific variability, gut passage, and reproductive systems) factors.
DOI: 10.6084/m9.figshare.19747495.v1
title: Rock n’ Seeds: a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation

description: The present dataset includes information for 16 seed traits from 383 taxa in 148 genera, 50 families and 25 orders from Brazilian rock outcrop vegetation. Data was collected in several study sites across Brazil, including locations from all six Brazilian biomes, namely Atlantic Forest, Amazon, Caatinga, Cerrado, Pampa and Pantanal. The most represented families in the database are Melastomataceae (67 taxa), Fabaceae (38) and Velloziaceae (36), with ~37% of all reported species. The 16 seed traits include two dispersal, six production, four morphological, two biophysical and two germination traits. The traits with the highest number of records are the presence/absence of primary dormancy (499 records), dispersal syndrome (497) and dormancy class (353). Additionally, Rock n' Seeds compiles the primary data of 48 germination experiments for a total of 10,187 records. Experiments available in this database include tests that assessed the effect of different dormancy-breaking treatments (e.g., scarification and hormone application) and germination responses to various abiotic (e.g., temperature, photoperiod, and fire-related cues) and biotic (e.g., intraspecific variability, gut passage, and reproductive systems) factors.
DOI: 10.5066/p9ei3uel
title: Detection range and efficiency of acoustic telemetry receivers in Clear Lake, Lake County, California

description: Data on the detection range and efficiency of VR2W-69 kHz acoustic receivers (Innovasea Marine Systems Canada Inc., Bedford, Nova Scotia, Canada; https://www.vemco.com/) were collected to guide the development of telemetry studies of the Clear Lake Hitch (Lavinia exilicauda chi), an imperiled fish species endemic to Clear Lake, Lake County, California. The study took place June 21, 2021 through July 01, 2021. Receivers we deployed at distances of 0m, 25m, 50m, 100m, 200m, and 300m from a sentinel test tag. The test tag was deployed for 20 minutes and emitted signals approximately 6-7 times per minute. Data recorded included the total number of signals emitted by the test tag and the number of those signals that were detected by each [...]
DOI: 10.5281/zenodo.6784404
title: Supplementary Material for "'A Certain Enemy Robbed Me of My Life': Medieval Riddles, Digital Transformations, and Pandemic Pedagogy"

description: Assignment, games, and illustrations associated with "'A Certain Enemy Robbed Me of My Life': Medieval Riddles, Digital Transformations, and Pandemic Pedagogy"
DOI: 10.5281/zenodo.6784403
title: Supplementary Material for "'A Certain Enemy Robbed Me of My Life': Medieval Riddles, Digital Transformations, and Pandemic Pedagogy"

description: Assignment, games, and illustrations associated with "'A Certain Enemy Robbed Me of My Life': Medieval Riddles, Digital Transformations, and Pandemic Pedagogy"
DOI: 10.5281/zenodo.6802954
title: Accipiter erythropus zanfona 1

description: .
DOI: 10.5281/zenodo.6802953
title: Accipiter erythropus zanfona 1

description: .
DOI: 10.5066/p9ard2wy
title: Vegetation Type Conversion in Southern California Between 1943 and 2018

description: This dataset contains data pertaining to ground surface cover in 30 meter plots around a random selection of points within chaparral from Santa Barbara county south to San Diego County in southern California, USA. These data were obtained from historical aerial imagery from 1943 to 1959 and current imagery from 2016 to 2018 and they were compared to quantify changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J., Rustigian-Romsos, H. and Keeley, J.E., 2022. Fire-driven vegetation type conversion in southern California. Ecological Applications, p.e2626. https://doi.org/10.1002/eap.2626.
DOI: 10.6084/m9.figshare.3761562.v2271
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.20247459
title: Bioengineered Soybean qPCR data

description: Analysis of transgene expression in lines of soybean (Glycine max var. Maverick) transformed with the construct pEG301+RZGPFV. Data collected from field trials at the University of Illinois at Urbana Champaign in 2020 and 2021 <br>
DOI: 10.6084/m9.figshare.20247459.v1
title: Bioengineered Soybean qPCR data

description: Analysis of transgene expression in lines of soybean (Glycine max var. Maverick) transformed with the construct pEG301+RZGPFV. Data collected from field trials at the University of Illinois at Urbana Champaign in 2020 and 2021 <br>
DOI: 10.5281/zenodo.6804014
title: Accipiter fasciatus zanfona 1

description: .
DOI: 10.5281/zenodo.6804013
title: Accipiter fasciatus zanfona 1

description: .
DOI: 10.5281/zenodo.6386814
title: Data for AU Mic Flares Observed with HST/COS

description: Data products and tables affiliated with "AU Microscopii in the FUV: Observations in Quiescence, During Flares, and Implications for AU Mic b and c" (Feinstein et al. 2022). This directory contains the following data products: <strong>A demonstration Jupyter notebook on how to create the SED for AU Mic (</strong>panchromatic_spectrum_demo.ipynb<strong>) and all affiliated spectra and errors</strong> X-ray -- XMM-Newton (xmm_newton_spectrum.npy) Differential Emission Measurement flux (au_mic_dem_quiescent_spectrum.fits) FUV -- FUSE (fuse_spectra.npy) FUV -- HST/COS (hst_cos_quiescent_spectrum.txt) NUV -- IUE (iue_spectra.npy) Optical -- HARPS-N (harps_spectra.npy) Optical/NIR -- PHOENIX model (phoenix_grid_3700_4.5_0.0.npy) <strong>A table of 176 measured emission lines from the HST/COS spectra of AU Mic (</strong>au_mic_full_emission_line_list.txt<strong>)</strong> <strong>The modeled transmission spectra for AU Mic b and c and a demonstration Jupyter notebook for how to read in the files</strong> (tp_profile_demo.ipynb): Disequilibrium model for AU Mic b (au_mic_b_disequil_profile.dat) Disequilibrium model for AU Mic c (au_mic_c_disequil_profile.dat) Equilibrium model for AU Mic b (au_mic_b_equil_profile.dat) Equilibrium model for AU Mic c (au_mic_c_equil_profile.dat)
DOI: 10.5281/zenodo.6386813
title: Data for AU Mic Flares Observed with HST/COS

description: Data products and tables affiliated with "AU Microscopii in the FUV: Observations in Quiescence, During Flares, and Implications for AU Mic b and c" (Feinstein et al. 2022). This directory contains the following data products: <strong>A demonstration Jupyter notebook on how to create the SED for AU Mic (</strong>panchromatic_spectrum_demo.ipynb<strong>) and all affiliated spectra and errors</strong> X-ray -- XMM-Newton (xmm_newton_spectrum.npy) Differential Emission Measurement flux (au_mic_dem_quiescent_spectrum.fits) FUV -- FUSE (fuse_spectra.npy) FUV -- HST/COS (hst_cos_quiescent_spectrum.txt) NUV -- IUE (iue_spectra.npy) Optical -- HARPS-N (harps_spectra.npy) Optical/NIR -- PHOENIX model (phoenix_grid_3700_4.5_0.0.npy) <strong>A table of 176 measured emission lines from the HST/COS spectra of AU Mic (</strong>au_mic_full_emission_line_list.txt<strong>)</strong> <strong>The modeled transmission spectra for AU Mic b and c and a demonstration Jupyter notebook for how to read in the files</strong> (tp_profile_demo.ipynb): Disequilibrium model for AU Mic b (au_mic_b_disequil_profile.dat) Disequilibrium model for AU Mic c (au_mic_c_disequil_profile.dat) Equilibrium model for AU Mic b (au_mic_b_equil_profile.dat) Equilibrium model for AU Mic c (au_mic_c_equil_profile.dat)
DOI: 10.6084/m9.figshare.19982180
title: Data and code from: Encroachment diminishes herbaceous plant diversity in grassy ecosystems worldwide

description: Data and code used in Wieczorkowski, J.D. and Lehmann, C.E.R. (2022) Encroachment diminishes herbaceous plant diversity in grassy ecosystems worldwide. Global Change Biology. https://doi.org/10.1111/gcb.16300
DOI: 10.6084/m9.figshare.19982180.v2
title: Data and code from: Encroachment diminishes herbaceous plant diversity in grassy ecosystems worldwide

description: Data and code used in Wieczorkowski, J.D. and Lehmann, C.E.R. (2022) Encroachment diminishes herbaceous plant diversity in grassy ecosystems worldwide. Global Change Biology.
DOI: 10.6084/m9.figshare.20249376
title: Data_Prediction of genetic values according to the dimensionality reduction of SNP's markers in complex models

description: <strong>Genomic prediction according to dimensionality reduction</strong>
DOI: 10.5281/zenodo.6561312
title: Data and code for: Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts

description: Data and code for "Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts," accepted in <em>Ecological Monographs</em>
DOI: 10.5281/zenodo.5655592
title: Data and code for: Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts

description: Data and code for "Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts," accepted in <em>Ecological Monographs</em>
DOI: 10.5281/zenodo.6804156
title: Characterizing protoclusters and protogroups at z∼2.5 using Lyman-α Tomography (data repo)

description: <strong>Data repo</strong> : Characterizing protoclusters and protogroups at z∼2.5 using Lyman-α Tomography : The generated data in Qezlou et. al. 2021 Guide on how to use the data : This data is used by this package (Zenodo or GitHub ). Feel free to download only the relevant data you need. Refer to this cook book and all the other referred notebooks to see which data file you need to download for each task. There is a module in our package to download these files with python. See this. Below we provide a short description on each compressed file and the data inside it. ./descendants/ : Containing data related to the z=0 descendants of the structures (aka. watersheds ) in mock-observed maps at z=2.5. ./DM_Density_field/ : Holds the DM density field of the TNG snapshots at z= 2.3, 2=.245, 2.6 ./FGPA/ : Data generated for the noiseless FGPA map or used to test FGPA accuracy. ./mock_maps_z*/ : 20 mock maps generated for each redshift snapshot ./noiseless_maps/ : noiseless \delta_F maps for different redshifts ./plotting_data/ : summary data used to make plotting easier ./progenitor_maps/ : The density maps at z=2.5 for progenitor DM particles of all z=0 halos with M(z=0) &gt; 10^13.5 M_\{odot}/h ./progenitors/ : Summary data for progenitors. e.g cofm and a list of their z=0 halo mass ./purenoise_maps/ : pure noise maps. Added noise on flat spectra (F = &lt;F&gt;) and then Wiener filtered. ./spectra_z*/ : holding extracted spectra from TNG-Illustris snapshots. They are noise free and it will be added in the next step of the analysis. Please, refer to our cook book ./watersheds_z*/ : The watersheds found in all mock maps and noiseless maps at 3 different redshifts. If you have any questions please feel free to reach mea via email : mahdi.qezlou@email.ucr.edu or raise and issue on our code repository:
description: This work was supported by a UCR-Carnegie Graduate Fellowship and The National Science Foundation Grants: AST-2107821 and AST-1817256 and AST-2108014
DOI: 10.5281/zenodo.5770882
title: Characterizing protoclusters and protogroups at z∼2.5 using Lyman-α Tomography (data repo)

description: <strong>Data repo</strong> : Characterizing protoclusters and protogroups at z∼2.5 using Lyman-α Tomography : The generated data in Qezlou et. al. 2021 Guide on how to use the data : This data is used by this package (Zenodo or GitHub ). Feel free to download only the relevant data you need. Refer to this cook book and all the other referred notebooks to see which data file you need to download for each task. There is a module in our package to download these files with python. See this. Below we provide a short description on each compressed file and the data inside it. ./descendants/ : Containing data related to the z=0 descendants of the structures (aka. watersheds ) in mock-observed maps at z=2.5. ./DM_Density_field/ : Holds the DM density field of the TNG snapshots at z= 2.3, 2=.245, 2.6 ./FGPA/ : Data generated for the noiseless FGPA map or used to test FGPA accuracy. ./mock_maps_z*/ : 20 mock maps generated for each redshift snapshot ./noiseless_maps/ : noiseless \delta_F maps for different redshifts ./plotting_data/ : summary data used to make plotting easier ./progenitor_maps/ : The density maps at z=2.5 for progenitor DM particles of all z=0 halos with M(z=0) &gt; 10^13.5 M_\{odot}/h ./progenitors/ : Summary data for progenitors. e.g cofm and a list of their z=0 halo mass ./purenoise_maps/ : pure noise maps. Added noise on flat spectra (F = &lt;F&gt;) and then Wiener filtered. ./spectra_z*/ : holding extracted spectra from TNG-Illustris snapshots. They are noise free and it will be added in the next step of the analysis. Please, refer to our cook book ./watersheds_z*/ : The watersheds found in all mock maps and noiseless maps at 3 different redshifts. If you have any questions please feel free to reach mea via email : mahdi.qezlou@email.ucr.edu or raise and issue on our code repository:
description: This work was supported by a UCR-Carnegie Graduate Fellowship and The National Science Foundation Grants: AST-2107821 and AST-1817256 and AST-2108014