cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18462687
title: Angular dependence and powder average of resonant inelastic X-ray scattering

description: Abstract

Resonant inelastic X-ray scattering (RIXS) is a synchrotron-based spectroscopy that has seen growing interest across a range of scientific disciplines beyond fundamental physics. The interpretation of experimental RIXS data requires theoretical calculations based on the Kramers–Heisenberg formula. However, due to the dependence of RIXS on both the incident and scattered photon properties, a tractable treatment of the angular dependence in this formula has been lacking. In this work, within the electric dipole approximation, we determine the number of fundamental spectra contributing to the RIXS cross-section for all crystallographic point groups. We then derive a general expression for the RIXS cross-section of isotropic samples such as un-textured powders, homogeneous glasses or liquids, explicitly accounting for the polarization and propagation directions of both the incident and scattered photons. Simplified forms of the RIXS expressions are subsequently obtained for most common point groups. Finally, we demonstrate the applicability of our formalism through a case study of uranium 3d4f RIXS.
DOI: 10.5281/zenodo.17517027
title: 3D Cal Datasets (py3DCal)

description: This dataset comprises tactile data collected from three sensors: 36,630 probe images from a DIGIT sensor across 1,221 distinct probe locations; 36,270 probe images from a GelSight Mini sensor across 1,209 distinct probe locations; and 3,780 readings from a ReSkin magnetic tactile sensor across 189 distinct probe locations. The dataset also includes pre-trained model weights for 3D depth map reconstruction on our DIGIT and GelSight Mini sensors, as well as for contact location prediction on our ReSkin sensor.
DOI: 10.5281/zenodo.18462608
title: 3D Cal Datasets (py3DCal)

description: This dataset comprises tactile data collected from three sensors: 36,630 probe images from a DIGIT sensor across 1,221 distinct probe locations; 36,270 probe images from a GelSight Mini sensor across 1,209 distinct probe locations; and 3,780 readings from a ReSkin magnetic tactile sensor across 189 distinct probe locations. The dataset also includes pre-trained model weights for 3D depth map reconstruction on our DIGIT and GelSight Mini sensors, as well as for contact location prediction on our ReSkin sensor.
DOI: 10.5281/zenodo.15850874
title: Distinct impact of PI(4)P flux on PI(4,5)P2 steady states and oscillations

description: This dataset contains processed fluorescence time-series data used in the analysis reported in “Distinct impact of PI(4)P flux on PI(4,5)P2 steady states and oscillations.” The repository consists of .xlsx files containing raw and background fluorescence intensity time series extracted from total internal reflection fluorescence (TIRF) microscopy experiments on rat basophilic leukemia (RBL-2H3) mast cells. The time series correspond to fluorescence measurements of sensors for PI(4)P, PI(4,5)P2, and Cdc42-GTP dynamics under antigen stimulation and chemical perturbation of PI4KIIIα. These data were used for oscillation amplitude, period, cross-correlation, and spectral analyses described in the Materials and Methods and Supporting Information of the associated publication. The files are organized by experimental condition and represent the data used for quantitative analysis.
DOI: 10.5281/zenodo.18475604
title: Distinct impact of PI(4)P flux on PI(4,5)P2 steady states and oscillations

description: This dataset contains processed fluorescence time-series data used in the analysis reported in “Distinct impact of PI(4)P flux on PI(4,5)P2 steady states and oscillations.” The repository consists of .xlsx files containing raw and background fluorescence intensity time series extracted from total internal reflection fluorescence (TIRF) microscopy experiments on rat basophilic leukemia (RBL-2H3) mast cells. The time series correspond to fluorescence measurements of sensors for PI(4)P, PI(4,5)P2, and Cdc42-GTP dynamics under antigen stimulation and chemical perturbation of PI4KIIIα. These data were used for oscillation amplitude, period, cross-correlation, and spectral analyses described in the Materials and Methods and Supporting Information of the associated publication. The files are organized by experimental condition and represent the data used for quantitative analysis.
DOI: 10.5281/zenodo.18475368
title: SuperDARN data in netCDF format (2011-Jun)

description: 2011-Jun SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6533937
title: SuperDARN data in netCDF format (2011-Jun)

description: 2011-Jun SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.6084/m9.figshare.30526790
title: Data and R codes for "Ecological restoration cannot easily or rapidly compensate for the negative impacts of land-use degradation on soil fauna"

description: # land use change effects (included degradation effects and restoration effects)Data and R codes for global land use change effects for soil fauna communitiesIncluded all codes for statistical analyses in this study.Data and code files showed the analyses separately for each figure and table.
DOI: 10.6084/m9.figshare.30526790.v2
title: Data and R codes for "Ecological restoration cannot easily or rapidly compensate for the negative impacts of land-use degradation on soil fauna"

description: # land use change effects (included degradation effects and restoration effects)Data and R codes for global land use change effects for soil fauna communitiesIncluded all codes for statistical analyses in this study.Data and code files showed the analyses separately for each figure and table.
DOI: 10.6084/m9.figshare.30526790.v1
title: Data and R codes for "Asymmetric responses of soil fauna to degradation and restoration: A global meta-analysis across the land use change"

description: # land use change effects (included degradation effects and restoration effects)Data and R codes for global land use change effects for soil fauna communitiesIncluded all codes for statistical analyses in this study.Data and code files showed the analyses separately for each figure and table.
DOI: 10.13140/rg.2.2.24158.09287
title: Tabla de datos de harvi velez
DOI: 10.34740/kaggle/dsv/14723967
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30601210
title: Inference on Dynamic Spatial Autoregressive Models with Change Point Detection

description: We analyze a varying-coefficient spatial autoregressive model with spatial fixed effects. One salient feature of the model is the incorporation of multiple spatial weight matrices through their linear combinations with varying coefficients, which help solve the problem of choosing the most “correct” one for applied econometricians who often face the availability of multiple expert spatial weight matrices. We estimate and make inferences on the model coefficients and coefficients in basis expansions of the varying coefficients through penalized estimations, establishing the oracle properties of the estimators and the consistency of the overall estimated spatial weight matrix, which can be time-dependent. We further consider two applications of our model in change point detections in spatial autoregressive models, providing theoretical justifications in consistent change point locations estimation and practical implementations. Simulation experiments demonstrate the performance of our proposed methodology, and real data analyses are also carried out.
DOI: 10.6084/m9.figshare.30601210.v1
title: Inference on Dynamic Spatial Autoregressive Models with Change Point Detection

description: We analyze a varying-coefficient spatial autoregressive model with spatial fixed effects. One salient feature of the model is the incorporation of multiple spatial weight matrices through their linear combinations with varying coefficients, which help solve the problem of choosing the most “correct” one for applied econometricians who often face the availability of multiple expert spatial weight matrices. We estimate and make inferences on the model coefficients and coefficients in basis expansions of the varying coefficients through penalized estimations, establishing the oracle properties of the estimators and the consistency of the overall estimated spatial weight matrix, which can be time-dependent. We further consider two applications of our model in change point detections in spatial autoregressive models, providing theoretical justifications in consistent change point locations estimation and practical implementations. Simulation experiments demonstrate the performance of our proposed methodology, and real data analyses are also carried out.
DOI: 10.13140/rg.2.2.17447.20641
title: Tabla-autores
DOI: 10.5281/zenodo.18475605
title: Supplementary Data:  The impact of land use and land cover change on groundwater in Greater Giyani Local Municipality, South Africa.

description: Supplementary data files for MSc thesis. Includes cleaned groundwater measurements, LULC accuracy assessment, change detection results, and statistical analysis outputs. These files support the appendices but were removed from the thesis document for brevity.   Keywords: groundwater, land use change, South Africa, LULC, GIS, remote sensing Related identifiers:   - Is documented by: https://github.com/mshipalana/GGLM-Groundwater-LULC-Analysis   

License: Creative Commons Attribution 4.0
DOI: 10.5281/zenodo.18475606
title: Supplementary Data:  The impact of land use and land cover change on groundwater in Greater Giyani Local Municipality, South Africa.

description: Supplementary data files for MSc thesis. Includes cleaned groundwater measurements, LULC accuracy assessment, change detection results, and statistical analysis outputs. These files support the appendices but were removed from the thesis document for brevity.   Keywords: groundwater, land use change, South Africa, LULC, GIS, remote sensing Related identifiers:   - Is documented by: https://github.com/mshipalana/GGLM-Groundwater-LULC-Analysis   

License: Creative Commons Attribution 4.0
DOI: 10.5281/zenodo.18472045
title: Data for: Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway - Part 1 of 0-2

description: This record contains Part 1 of a processed dataset used in the manuscript "Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway" under review at PLOS Computational Biology.

The dataset consists of three files:wildlife_20x40_40frames_600px_1dg_part0.npy.tar.gzwildlife_20x40_40frames_600px_1dg_part1.npy.tar.gzwildlife_20x40_40frames_600px_1dg_part2.npy.tar.gz
DOI: 10.5281/zenodo.18472046
title: Data for: Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway - Part 1 of 0-2

description: This record contains Part 1 of a processed dataset used in the manuscript "Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway" under review at PLOS Computational Biology.

The dataset consists of three files:wildlife_20x40_40frames_600px_1dg_part0.npy.tar.gzwildlife_20x40_40frames_600px_1dg_part1.npy.tar.gzwildlife_20x40_40frames_600px_1dg_part2.npy.tar.gz
DOI: 10.5517/ccdc.csd.cc2mpzp0
title: CCDC 2434203: Experimental Crystal Structure Determination

description: Related Article: Dong-Wei Wang, Shuo-Xun Zheng, Jian-Quan Liu, Xiang-Shan Wang|2025|Adv.Synth.Catal.|367|e70010|doi:10.1002/adsc.70010
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.cc2mpzq1
title: CCDC 2434204: Experimental Crystal Structure Determination

description: Related Article: Dong-Wei Wang, Shuo-Xun Zheng, Jian-Quan Liu, Xiang-Shan Wang|2025|Adv.Synth.Catal.|367|e70010|doi:10.1002/adsc.70010
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.cc2mqmtt
title: CCDC 2434827: Experimental Crystal Structure Determination

description: Related Article: Suman Kuila, Hector Miranda‐Salinas, Chunyong Li, Natalie E. Pridmore, Martin R. Bryce, Christel M. Marian, Andrew P. Monkman|2025|Angew.Chem.,Int.Ed.|64|e202509535|doi:10.1002/anie.202509535
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.cc2n022v
title: CCDC 2442926: Experimental Crystal Structure Determination

description: Related Article: Shengyu Zhong|2025|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.cc2n024x
title: CCDC 2442928: Experimental Crystal Structure Determination

description: Related Article: Shengyu Zhong|2025|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.cc2n026z
title: CCDC 2442930: Experimental Crystal Structure Determination

description: Related Article: Shengyu Zhong|2025|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.cc2n314z
title: CCDC 2445780: Experimental Crystal Structure Determination

description: Related Article: Martyna Pęczek, Helena Butkiewicz, Maura Malinska, Damian Trzybiński, Wojciech A. Sawiński, Anders Ø. Madsen, Frederik H. Gjo̷rup, Teresa Bizoń, Anna A. Hoser|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c00785
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.cc2n3bpt
title: CCDC 2446076: Experimental Crystal Structure Determination

description: Related Article: Antônio Junio Araujo Dias, Ken Tanaka, Masanobu Uchiyama, Yuki Nagashima|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-6xnhk
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.cc2n4hdq
title: CCDC 2447183: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2025|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.cc2n4hfr
title: CCDC 2447184: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2025|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.cc2n4hjv
title: CCDC 2447187: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2025|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.cc2fcp7r
title: CCDC 2245554: Experimental Crystal Structure Determination

description: Related Article: A.O. Isaeva, R.N. Burangulova, I.A. Krutov, A. Shirshova, M.N. Sayfutdinova, A.I. Samigullina, E.L. Gavrilova|2025|Zh.Obshch.Khim.|||doi:10.1134/S1070363225602923
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.cc2n4gpz
title: CCDC 2447161: Experimental Crystal Structure Determination

description: Related Article: A.O. Isaeva, R.N. Burangulova, I.A. Krutov, A. Shirshova, M.N. Sayfutdinova, A.I. Samigullina, E.L. Gavrilova|2025|Zh.Obshch.Khim.|||doi:10.1134/S1070363225602923
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.cc2n4gq0
title: CCDC 2447162: Experimental Crystal Structure Determination

description: Related Article: A.O. Isaeva, R.N. Burangulova, I.A. Krutov, A. Shirshova, M.N. Sayfutdinova, A.I. Samigullina, E.L. Gavrilova|2025|Zh.Obshch.Khim.|||doi:10.1134/S1070363225602923
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.cc2n4gr1
title: CCDC 2447163: Experimental Crystal Structure Determination

description: Related Article: A.O. Isaeva, R.N. Burangulova, I.A. Krutov, A. Shirshova, M.N. Sayfutdinova, A.I. Samigullina, E.L. Gavrilova|2025|Zh.Obshch.Khim.|||doi:10.1134/S1070363225602923
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.cc2n4gs2
title: CCDC 2447164: Experimental Crystal Structure Determination

description: Related Article: A.O. Isaeva, R.N. Burangulova, I.A. Krutov, A. Shirshova, M.N. Sayfutdinova, A.I. Samigullina, E.L. Gavrilova|2025|Zh.Obshch.Khim.|||doi:10.1134/S1070363225602923
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.cc2n4gt3
title: CCDC 2447165: Experimental Crystal Structure Determination

description: Related Article: A.O. Isaeva, R.N. Burangulova, I.A. Krutov, A. Shirshova, M.N. Sayfutdinova, A.I. Samigullina, E.L. Gavrilova|2025|Zh.Obshch.Khim.|||doi:10.1134/S1070363225602923
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.