cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20444109.v1
title: Compositional and Structural Fingerprints of Materials Project Time Split Data for use with Generative Materials Benchmarking Metrics

description: This is a supporting dataset for <em><strong>matbench-genmetrics</strong></em> [docs] [repo], a set of generative materials benchmarking metrics. The compositional (Magpie) and structural (CrystalNN) fingerprints* are produced in fingerprint_snapshot.py using <em><strong>mp-time-split</strong></em> data [docs] [repo] [figshare] and are given in <em>comp_fingerprints.csv</em> (132 features) and <em>struct_fingerprints.csv</em> (61 features), respectively. Each has an additional column in the first position, <em>material_id,</em> which contains the Materials Project <em>material_id</em>. So, in total there are 133 and 62 columns, respectively. There are 40476 entries, plus a header row with labels, so 40477 rows in total. The primary purpose of these datasets is to avoid repeating lengthy calculations each time a <em>matbench-genmetrics</em> benchmark is computed; thus, only the generated structures need to be featurized. The total runtime for the compositional and structural fingerprinting using 6 physical cores (12 virtual cores as determined by <em>multiprocessing.cpu_count()</em>) is approximately 50 minutes and 140 min, respectively. The benchmarks can be used with materials generative models such as <em>xtal2png</em><em>+</em><em>Imagen</em>. <br> *The use of Magpie and CrystalNN featurizers are based on the coverage metric from CDVAE [repo] [paper].
DOI: 10.5281/zenodo.6969733
title: Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018

description: The dataset ia produced based on the Infrared Atmospheric Sounding Interferometer (IASI) observations in Luo et al.,(2022), by updating the prior ammonia (NH3) emission fluxes with the ratio between biases in simulated NH3 concentrations and effective NH3 lifetimes against the loss of the NHx family (NHx ≡ NH3 + NH4+). We then include sulfur dioxide (SO2) column to correct the NH3 emission trends over India and China, where SO2 emissions have changed rapidly in recent years. Finally, we quantify the uncertainty of NH3 emission by a series of perturbation and sensitivity experiments. The GEOS-Chem simulation driven by top-down estimates has lower bias with the IASI observations than prior emissions, demonstrating the consistency of our estimates with observations.
description: Our dataset excludes grid cells with the number of successful retrievals less than 800 in a month, and grids where transport dominates over local prior emissions or depositions in the monthly NHx budget. Caution is needed when analyzing the long-term average/trend of NH3 emission with the missing values. Proper gap-filling procedure is recommended before any long-term analysis.
DOI: 10.6084/m9.figshare.20444391
title: Day Scholars Food Insecurity Experience Scale (DSFIES): Pretesting and Survey Administration

description: Pretesting and Survey Administration materials for the Day Scholars Food Insecurity Experience Scale
DOI: 10.6084/m9.figshare.20444391.v1
title: Day Scholars Food Insecurity Experience Scale (DSFIES): Pretesting and Survey Administration

description: Pretesting and Survey Administration materials for the Day Scholars Food Insecurity Experience Scale
DOI: 10.34740/kaggle/dsv/4036877
title: Yu-Gi-Oh Database
DOI: 10.6084/m9.figshare.20444394
title: LIVROCOD_RSL_watchdog.pdf

description: watchdog journalism
DOI: 10.6084/m9.figshare.20444394.v1
title: LIVROCOD_RSL_watchdog.pdf

description: watchdog journalism
DOI: 10.6084/m9.figshare.20444409
title: RSL_watchdog

description: RSL watchdog
DOI: 10.6084/m9.figshare.20444409.v1
title: RSL_watchdog

description: RSL watchdog
DOI: 10.34740/kaggle/ds/2151594
title: Stack Overflow Cross-Site Question Dataset
DOI: 10.5517/ccdc.csd.cc28vd8t
title: CCDC 2110736: Experimental Crystal Structure Determination

description: Related Article: Tatyana N. Moshkina, Emiliya V. Nosova, Julia V. Permyakova, Galina N. Lipunova, Marina S. Valova, Pavel A. Slepukhin, Leila K. Sadieva, Valery N. Charushin|2022|Dyes Pigm.|206|110592|doi:10.1016/j.dyepig.2022.110592
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.cc28vdbw
title: CCDC 2110738: Experimental Crystal Structure Determination

description: Related Article: Tatyana N. Moshkina, Emiliya V. Nosova, Julia V. Permyakova, Galina N. Lipunova, Marina S. Valova, Pavel A. Slepukhin, Leila K. Sadieva, Valery N. Charushin|2022|Dyes Pigm.|206|110592|doi:10.1016/j.dyepig.2022.110592
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.cc28w2t2
title: CCDC 2111404: Experimental Crystal Structure Determination

description: Related Article: Tatyana N. Moshkina, Emiliya V. Nosova, Julia V. Permyakova, Galina N. Lipunova, Marina S. Valova, Pavel A. Slepukhin, Leila K. Sadieva, Valery N. Charushin|2022|Dyes Pigm.|206|110592|doi:10.1016/j.dyepig.2022.110592
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.cc297g23
title: CCDC 2122324: Experimental Crystal Structure Determination

description: Related Article: Yuexia Yang, Liang Zhang, Jiemin Wang, Yuping Cao, Wenwu Qin, Yun Liu|2022|Dyes Pigm.|206|110596|doi:10.1016/j.dyepig.2022.110596
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.cc2bcdvz
title: CCDC 2155921: Experimental Crystal Structure Determination

description: Related Article: Charlestine Soh, Mohan Rao Kollipara, Venkanna Banothu, Danny F Diengdoh, Werner Kaminsky, E.K. Rymmai|2022|J.Mol.Struct.|1269|133775|doi:10.1016/j.molstruc.2022.133775
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.cc2bcdw0
title: CCDC 2155922: Experimental Crystal Structure Determination

description: Related Article: Charlestine Soh, Mohan Rao Kollipara, Venkanna Banothu, Danny F Diengdoh, Werner Kaminsky, E.K. Rymmai|2022|J.Mol.Struct.|1269|133775|doi:10.1016/j.molstruc.2022.133775
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.cc2bcdx1
title: CCDC 2155923: Experimental Crystal Structure Determination

description: Related Article: Charlestine Soh, Mohan Rao Kollipara, Venkanna Banothu, Danny F Diengdoh, Werner Kaminsky, E.K. Rymmai|2022|J.Mol.Struct.|1269|133775|doi:10.1016/j.molstruc.2022.133775
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.cc2bcdy2
title: CCDC 2155924: Experimental Crystal Structure Determination

description: Related Article: Charlestine Soh, Mohan Rao Kollipara, Venkanna Banothu, Danny F Diengdoh, Werner Kaminsky, E.K. Rymmai|2022|J.Mol.Struct.|1269|133775|doi:10.1016/j.molstruc.2022.133775
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.cc2bcdz3
title: CCDC 2155925: Experimental Crystal Structure Determination

description: Related Article: Charlestine Soh, Mohan Rao Kollipara, Venkanna Banothu, Danny F Diengdoh, Werner Kaminsky, E.K. Rymmai|2022|J.Mol.Struct.|1269|133775|doi:10.1016/j.molstruc.2022.133775
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.cc2c7740
title: CCDC 2181691: Experimental Crystal Structure Determination

description: Related Article: Tatyana N. Moshkina, Emiliya V. Nosova, Julia V. Permyakova, Galina N. Lipunova, Marina S. Valova, Pavel A. Slepukhin, Leila K. Sadieva, Valery N. Charushin|2022|Dyes Pigm.|206|110592|doi:10.1016/j.dyepig.2022.110592
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.6969809
title: Standardized Dataset of the Ecosystem's Water Use Efficiency, Gross Primary Productivity and the Evapotranspiration Deficit Index for 1982–2017 over the Middle East

description: This data aimed to investigate the spatial-temporal variability of Standardized Actual Evapotranspiration (sAET), Gross Primary Productivity (sGPP) and Water Use Efficiency (WUE) anomalies series, and the Standardized Evapotranspiration Deficit Index (SEDI). The Middle East (ME), was selected as a case study to monitoring drought events as one of the major natural disasters for the ecosystem. To this end, the yearly gross primary production of GLASS, GIMMS, FloxCom, and VPM datasets for the study area spanning 1982–2017 was used to develop the sGPPR data. On the other hand, the Global Land Evaporation Amsterdam Model (GLEAM-version (v3.3a)), which estimated the several components of terrestrial evaporation (annual actual and potential evaporation (AET, PET)) was used for the same period this aimed to detect the variability of the SEDI.<br> This version of the yearly GLASS-sGPPR dataset (1982–2017) is available for the ME at 0.05° spatial resolution, as the original data of the GPP-GLASS products, While, sGPPR dataset of GIMMS, FloxCom, and VPM are also at annual temporal resolution, and at 0.5 degree spatial resolution spanning 1982–2016 for GIMMS, FloxCom, and 2000-2016 for VPM (Excel wrokbook .xlsx). The SEDI data are also available at 0.25 degree spatial resolution for 1980–2018 ( Raster files (TIFF)). For more details about Standardization of the GPP and evapotranspiration deficit data see: <strong>Alsafadi, K., Al-Ansari, N., Mokhtar, A., Mohammed, S., Elbeltagi, A., Sammen, S. S., & Bi, S. (2021). An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East. <em>Environmental Research Letters</em>. 10.1088/1748-9326/ac4765</strong>
DOI: 10.5281/zenodo.4540831
title: Standardized Dataset of the Ecosystem's Water Use Efficiency, Gross Primary Productivity and the Evapotranspiration Deficit Index for 1982–2017 over the Middle East

description: This data aimed to investigate the spatial-temporal variability of Standardized Actual Evapotranspiration (sAET), Gross Primary Productivity (sGPP) and Water Use Efficiency (WUE) anomalies series, and the Standardized Evapotranspiration Deficit Index (SEDI). The Middle East (ME), was selected as a case study to monitoring drought events as one of the major natural disasters for the ecosystem. To this end, the yearly gross primary production of GLASS, GIMMS, FloxCom, and VPM datasets for the study area spanning 1982–2017 was used to develop the sGPPR data. On the other hand, the Global Land Evaporation Amsterdam Model (GLEAM-version (v3.3a)), which estimated the several components of terrestrial evaporation (annual actual and potential evaporation (AET, PET)) was used for the same period this aimed to detect the variability of the SEDI.<br> This version of the yearly GLASS-sGPPR dataset (1982–2017) is available for the ME at 0.05° spatial resolution, as the original data of the GPP-GLASS products, While, sGPPR dataset of GIMMS, FloxCom, and VPM are also at annual temporal resolution, and at 0.5 degree spatial resolution spanning 1982–2016 for GIMMS, FloxCom, and 2000-2016 for VPM (Excel wrokbook .xlsx). The SEDI data are also available at 0.25 degree spatial resolution for 1980–2018 ( Raster files (TIFF)). For more details about Standardization of the GPP and evapotranspiration deficit data see: <strong>Alsafadi, K., Al-Ansari, N., Mokhtar, A., Mohammed, S., Elbeltagi, A., Sammen, S. S., & Bi, S. (2021). An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East. <em>Environmental Research Letters</em>. 10.1088/1748-9326/ac4765</strong>
DOI: 10.5281/zenodo.6969772
title: Wave-current Coupling Effects on the Variation Modes of Pore Pressure Response in a Sandy Seabed: Physical Modeling and Explicit Approximations

description: This is experimental data of combined wave-current induced pore pressure. The corresponding test condition is given in the title of each excel. The channels 4, 2, 1 represent the wave height data measured by the WHGs just above PPTs, in the upstream, and in the downstream, respectively. The channels 6, 8, 3, 7 are pore pressure data monitored by PPTs installed at 0, 6, 9, and 15 cm below the seabed surface, respectively.
DOI: 10.6084/m9.figshare.14225945
title: Gender Sensitization scale data

description: This dataset consist of four materials: One is the total variance explained table enlisted as Appendix_S1 where Principal Axis Factoring method was used with oblique rotation. <br> Second one is the table consisting communality value of the items after the PAF enlisted as Table_S1. <br> The third (Table_S2) consists of the Factor loadings from Principal Axis Factor Analysis (PAF) with Promax Rotation . <br> The fourth (Table_S3) consists of the Factor Correlation Matrix of the extracted qualified factors.
DOI: 10.6084/m9.figshare.14225945.v5
title: Gender Sensitization scale data

description: This dataset consist of two materials:One is the total variance explained table enlisted as Appendix_S1 where Principal Axis Factoring method was used with oblique rotation.<br>Second one is the table consisting communality value of the items after the PAF enlisted as Table_S1. <br>The third table (Table_S2) consists of the Factor loadings from Principal Axis Factor Analysis (PAF) with Promax Rotation .
DOI: 10.6084/m9.figshare.20444454
title: Search Engine Manipulation: SEO to Spread Kremlin-Aligned Disinformation. Think Tank Backlink Network and Keyphrase Network dataset.

description: <strong>README</strong><br> These datasets and R script are to generate the visualizations used in "Search Engine Manipulation: SEO to Spread Kremlin-Aligned Disinformation"<br> <br> <strong>DATA</strong><br> <br> Data were collected from the Ahrefs (ahrefs.com) dashboard on Feb 21, 2022. Any re-use of this data must cite Ahrefs as the source.<br> We provide two data files: <br> 1) ora_rd.csv (referring domain network extracted from Ahrefs)<br> 2) ora_kw.csv (keyword network extracted from Ahrefs)<br> ora_rd.csv contains:<br> 'source' : (think tank domain) 'target' : (backlinking domain) 'weight' : (total # of backlinks) 'network' : (ru_tt_rd = Russia, us_tt_rd = US, ds_rd = Pseudo) <br> ora_kw contains:<br> `keyword`: top key phrases `outlet`: countains the think tank domain - maps to source in ora_rd <strong>R Script</strong><br> This script generates visuals of top backlinkers and backlink recipients in the think tank network. It also constructs and visualizes the minimum overlap network for referring domains present in the paper.<br> This code was created using R version 4.1.1 (2021-08-10) -- "Kick Things".<br> To run this code, you'll first need to install the libraries at the beginning of the script.<br> Once that is done, open the script and modify the path to the input file (ora_rd.csv): `rd_data_el` and modify the path to the output file: `output_dir`.<br> The script can then be run line-by-line in Rstudio or by typing `Rscript seo_visuals.R` in the terminal.<br> <strong>Citation</strong><br> How to cite (will be updated upon acceptance):<br> ```<br> Williams, E. M. & Carley, M. C., (2022). Search Engine Manipulation: SEO to <br> Spread Kremlin-Aligned Disinfor-mation. Harvard Kennedy School (HKS) <br> Misinformation Review, Volume #(Issue #).<br> Received: Month Xth, 2022. Accepted: Month Xth, 20XX. Published: Month Xth, 2022.<br> ``` <br>
DOI: 10.6084/m9.figshare.20444474
title: On the prospects of optical cycling in diatomic cations: effects of transition metals, spin–orbit couplings, and multiple bonds

description: Molecules with optical cycling centres (OCCs) are highly desirable in the context of fundamental studies as well as applications (e.g. quantum computing) because they can be effectively cooled to very low temperatures by repeated absorption and emission (hence, cycling). Charged species offer additional advantages for experimental control and manipulation. We present a systematic computational study of a series of diatomic radical-cations made of a <i>d</i>-block metal and a <i>p</i>-block ligand, that are isoelectronic (in their valence shell) to the successfully laser-cooled neutral molecules. Using high-level electronic structure methods, we characterise state and transition properties of low-lying electronic states and compute Franck–Condon factors. The computed branching ratios and radiative lifetimes reveal that the electronic transitions analogous to those successfully used in the laser cooling of neutral molecules are less than optimal in the cations. We propose alternative transitions suitable for optical cycling and highlight trends that could assist future designs of OCCs in charged or neutral molecules.
DOI: 10.6084/m9.figshare.20444474.v1
title: On the prospects of optical cycling in diatomic cations: effects of transition metals, spin–orbit couplings, and multiple bonds

description: Molecules with optical cycling centres (OCCs) are highly desirable in the context of fundamental studies as well as applications (e.g. quantum computing) because they can be effectively cooled to very low temperatures by repeated absorption and emission (hence, cycling). Charged species offer additional advantages for experimental control and manipulation. We present a systematic computational study of a series of diatomic radical-cations made of a <i>d</i>-block metal and a <i>p</i>-block ligand, that are isoelectronic (in their valence shell) to the successfully laser-cooled neutral molecules. Using high-level electronic structure methods, we characterise state and transition properties of low-lying electronic states and compute Franck–Condon factors. The computed branching ratios and radiative lifetimes reveal that the electronic transitions analogous to those successfully used in the laser cooling of neutral molecules are less than optimal in the cations. We propose alternative transitions suitable for optical cycling and highlight trends that could assist future designs of OCCs in charged or neutral molecules.
DOI: 10.34740/kaggle/dsv/4037519
title: Elon Musk Tweets
DOI: 10.5281/zenodo.6969999
title: Sentinel-3 NDVI ARD and Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Lombardia

description: Sentinel-3 NDVI Analysis Ready Data (ARD) (C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc) product provided by the Copernicus Global Land Service [3]. The file C_GLS_NDVI_20220101_20220701_Lombardia_S3_2_masked.nc is derived from C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc but values have been scaled (raw_value * ( 1/250) - 0.08) and values lower then -0.08 and greater than 0.92 have been removed (set to missing values). The original dataset can also be discovered through the OpenEO API[5] from the CGLS distributor VITO [4]. Access is free of charge but an EGI registration is needed. The masked dataset Further info about drought indexes can be found in the Integrated Drought Management Programme [5] [1] Application of vegetation index and brightness temperature for drought detection [2] NDVI [3] Copernicus Global Land Service [4] Vito [5] OpenEO [5] Integrated Drought Management
description: These datasets are used for training purposes. See https://pangeo-data.github.io/foss4g-2022/intro.html
DOI: 10.5281/zenodo.6970019
title: Supporting dataset for drafted article Evaluation of Multi-step Forecasting Models

description: Supporting dataset for drafted article Evaluation of Multi-step Forecasting Models
DOI: 10.5281/zenodo.6970018
title: Supporting dataset for drafted article Evaluation of Multi-step Forecasting Models

description: Supporting dataset for drafted article Evaluation of Multi-step Forecasting Models
DOI: 10.25919/je9w-f769
title: Parkes observations for project P1156 semester 2022APRS_06

description: The discovery of a repeating fast radio burst (FRB) 20200120E localized to a globular cluster (GC) of the nearby (~3.6 Mpc) M81 galaxy challenged our current understanding of FRBs. Its location in an old stellar system and proximity to the Earth (40 times closer than any other extragalactic FRB detected) have profound implications on the origin of FRBs and the number density and luminosity of this type of source. Motivated by this discovery, we propose to search for FRBs targeting at another nearby elliptical galaxy, Centaurus A. Its relative proximity (~3.5 Mpc), combined with its richness in GCs (&gt;1200), makes Centaurus A the best target in the sky for detecting new FRB sources in GCs. Such a targeted survey will allow us to constrain the event rate and luminosity of FRBs from GCs and hence understand their contribution to the cosmological FRB rate and shed new light on the formation of neutron stars in GCs.
DOI: 10.6084/m9.figshare.20338923.v1
title: supervizyon

description: <strong>Career Indecision, Career Adaptability, and Career Anxiety in Turkish High School Students</strong>
DOI: 10.6084/m9.figshare.3761562.v2302
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.