cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10410772
title: Datos Observados Pichilemu periodo 2022-2023

description: Datos asociados el proyecto RISUE RED21992 del Ministerio de Educación de Chile.

Corresponden a mediciones meteorológicas en el periodo 2022-2023 en la comuna de Pichilemu para las siguientes estaciones:

Puente Negro:



temperatura del aire (INIA)

precipitación (INIA)

radiación solar (INIA)

velocidad promedio del viento (INIA)

velocidad máxima del viento (INIA)

dirección del viento (INIA)

contenido de humedad del suelo a 10cm, 20cm, 35cm y 50cm (UOH)

temperatura del suelo a 10cm, 20cm, 35cm y 50cm (UOH)

conductividad eléctrica del suelo a 10cm, 20cm, 35cm y 50cm (UOH)


La Aguada:



temperatura del aire (UOH)

precipitación (UOH)

radiación solar (UOH)

velocidad promedio del viento (UOH)

velocidad máxima del viento (UOH)

dirección del viento (UOH)

contenido de humedad del suelo a 20cm y 50cm (UOH)


La ubicación de las estaciones es:



Puente Negro: lon=-71.9856651, lat=-34.386359

La Aguada: lon=-71.8310213, lat=-34.3294707


Los datos INIA pertenecen a la red agrometeorológica del Instituto de Investigación Agropecuaria de Chile (https://agrometeorologia.cl). Las mediciones son realizadas con una estación Campbell Scientific.

Los datos UOH son recopilados por la Universidad de O'Higgins de Chile. Las mediciones son realizadas con una estación Meter Atmos 41 (meteorología), Meter Teros 12 (suelo, Puente Negro), Meter Teros 10 (suelo, La Aguada) y datalogger Meter ZL6.

La resolución de los datos es horaria.
DOI: 10.5281/zenodo.10410773
title: Datos Observados Pichilemu periodo 2022-2023

description: Datos asociados el proyecto RISUE RED21992 del Ministerio de Educación de Chile.

Corresponden a mediciones meteorológicas en el periodo 2022-2023 en la comuna de Pichilemu para las siguientes estaciones:

Puente Negro:



temperatura del aire (INIA)

precipitación (INIA)

radiación solar (INIA)

velocidad promedio del viento (INIA)

velocidad máxima del viento (INIA)

dirección del viento (INIA)

contenido de humedad del suelo a 10cm, 20cm, 35cm y 50cm (UOH)

temperatura del suelo a 10cm, 20cm, 35cm y 50cm (UOH)

conductividad eléctrica del suelo a 10cm, 20cm, 35cm y 50cm (UOH)


La Aguada:



temperatura del aire (UOH)

precipitación (UOH)

radiación solar (UOH)

velocidad promedio del viento (UOH)

velocidad máxima del viento (UOH)

dirección del viento (UOH)

contenido de humedad del suelo a 20cm y 50cm (UOH)


La ubicación de las estaciones es:



Puente Negro: lon=-71.9856651, lat=-34.386359

La Aguada: lon=-71.8310213, lat=-34.3294707


Los datos INIA pertenecen a la red agrometeorológica del Instituto de Investigación Agropecuaria de Chile (https://agrometeorologia.cl). Las mediciones son realizadas con una estación Campbell Scientific.

Los datos UOH son recopilados por la Universidad de O'Higgins de Chile. Las mediciones son realizadas con una estación Meter Atmos 41 (meteorología), Meter Teros 12 (suelo, Puente Negro), Meter Teros 10 (suelo, La Aguada) y datalogger Meter ZL6.

La resolución de los datos es horaria.
DOI: 10.5281/zenodo.10419819
title: pouteria_campechiana_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10419820
title: pouteria_campechiana_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10277699
title: Machine learning simulation protocol for protein amide II spectra

description: Machine learning simulation data for protein amide II spectra.
DOI: 10.5281/zenodo.7267972
title: Machine learning simulation protocol for protein amide II spectra

description: Machine learning simulation data for protein amide II spectra.
DOI: 10.5281/zenodo.7267973
title: Machine learning simulation data for protein amide II spectra

description: Machine learning simulation data for protein amide II spectra.
DOI: 10.6084/m9.figshare.24496604
title: Spatially Smoothed Robust Covariance Estimation for Local Outlier Detection

description: Most multivariate outlier detection procedures ignore the spatial dependency of observations, which is present in many real datasets from various application areas. This article introduces a new outlier detection method that accounts for a (continuously) varying covariance structure, depending on the spatial neighborhood of the observations. The underlying estimator thus constitutes a compromise between a unified global covariance estimation, and local covariances estimated for individual neighborhoods. Theoretical properties of the estimator are presented, in particular related to robustness properties, and an efficient algorithm for its computation is introduced. The performance of the method is evaluated and compared based on simulated data and for a dataset recorded from Austrian weather stations. Supplemental materials to the article are available online.
DOI: 10.6084/m9.figshare.24496604.v2
title: Spatially Smoothed Robust Covariance Estimation for Local Outlier Detection

description: Most multivariate outlier detection procedures ignore the spatial dependency of observations, which is present in many real datasets from various application areas. This article introduces a new outlier detection method that accounts for a (continuously) varying covariance structure, depending on the spatial neighborhood of the observations. The underlying estimator thus constitutes a compromise between a unified global covariance estimation, and local covariances estimated for individual neighborhoods. Theoretical properties of the estimator are presented, in particular related to robustness properties, and an efficient algorithm for its computation is introduced. The performance of the method is evaluated and compared based on simulated data and for a dataset recorded from Austrian weather stations. Supplemental materials to the article are available online.
DOI: 10.6084/m9.figshare.24496604.v1
title: Spatially smoothed robust covariance estimation for local outlier detection

description: Most multivariate outlier detection procedures ignore the spatial dependency of observations, which is present in many real data sets from various application areas. This paper introduces a new outlier detection method that accounts for a (continuously) varying covariance structure, depending on the spatial neighborhood of the observations. The underlying estimator thus constitutes a compromise between a unified global covariance estimation, and local covariances estimated for individual neighborhoods. Theoretical properties of the estimator are presented, in particular related to robustness properties, and an efficient algorithm for its computation is introduced. The performance of the method is evaluated and compared based on simulated data and for a data set recorded from Austrian weather stations. Supplemental materials to the article are available online.
DOI: 10.5281/zenodo.10414628
title: SCM files for "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization"

description: Supporting files for manuscript "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization" by N.P. Arnold.

The data consists of source code modifications relative to v11.2.0 of the GEOS GCM, modified boundary conditions for running single column model experiments, and netcdf model output from those experiments.
DOI: 10.5281/zenodo.10414629
title: SCM files for "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization"

description: Supporting files for manuscript "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization" by N.P. Arnold.

The data consists of source code modifications relative to v11.2.0 of the GEOS GCM, modified boundary conditions for running single column model experiments, and netcdf model output from those experiments.
DOI: 10.5281/zenodo.10419853
title: CURTAIN datasets
DOI: 10.5281/zenodo.10419852
title: CURTAIN datasets
DOI: 10.25934/pr00009659.0
title: Available datapackage for study 'DUKE CATH Educational dataset'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.10020019
title: Age-related differences in Bilateral Synergistic Coordination of the Upper Extremity

description: Data collected from two groups of subjects with mean ages of 23 and 55, performing three tasks of the upper extremity requiring bilateral coordination.
DOI: 10.5281/zenodo.10020020
title: Age-related differences in Bilateral Synergistic Coordination of the Upper Extremity

description: Data collected from two groups of subjects with mean ages of 23 and 55, performing three tasks of the upper extremity requiring bilateral coordination.
DOI: 10.3886/e195752v1
title: Is it Any Better? A Comparison of Ph.D. Students’ Experiences and Degree Completion Plans between Summer 2020 and 2021

description: Ph.D. students’ experiences in
graduate school and associated outcomes vary by field of study, learning
environment conditions, and support structures. In the context of the COVID-19
pandemic specifically, Ph.D. students’ individual educational trajectories were
potentially rendered more uncertain as disruptive conditions for learning and
research continued over the past several years. We compared the reports of 442
Ph.D. students at twelve U.S. institutions in terms of their experiences of
support or marginalization and educational plans from summer 2020 with
follow-up data gathered during summer 2021. We then examined factors related to
PhD students’ changes in their estimated times to degree. We found lower, but
still on average moderate levels of depression symptoms compared to the
previous year, and continued experiences of emotional, financial, educational,
and career stressors. Findings point to the importance of institutional material
and psychological structural supports over time.

<br>
DOI: 10.3886/e195752
title: Is it Any Better? A Comparison of Ph.D. Students’ Experiences and Degree Completion Plans between Summer 2020 and 2021

description: Ph.D. students’ experiences in
graduate school and associated outcomes vary by field of study, learning
environment conditions, and support structures. In the context of the COVID-19
pandemic specifically, Ph.D. students’ individual educational trajectories were
potentially rendered more uncertain as disruptive conditions for learning and
research continued over the past several years. We compared the reports of 442
Ph.D. students at twelve U.S. institutions in terms of their experiences of
support or marginalization and educational plans from summer 2020 with
follow-up data gathered during summer 2021. We then examined factors related to
PhD students’ changes in their estimated times to degree. We found lower, but
still on average moderate levels of depression symptoms compared to the
previous year, and continued experiences of emotional, financial, educational,
and career stressors. Findings point to the importance of institutional material
and psychological structural supports over time.

<br>
DOI: 10.3886/e195752v2
title: Is it Any Better? A Comparison of Ph.D. Students’ Experiences and Degree Completion Plans between Summer 2020 and 2021

description: Ph.D. students’ experiences in
graduate school and associated outcomes vary by field of study, learning
environment conditions, and support structures. In the context of the COVID-19
pandemic specifically, Ph.D. students’ individual educational trajectories were
potentially rendered more uncertain as disruptive conditions for learning and
research continued over the past several years. We compared the reports of 442
Ph.D. students at twelve U.S. institutions in terms of their experiences of
support or marginalization and educational plans from summer 2020 with
follow-up data gathered during summer 2021. We then examined factors related to
PhD students’ changes in their estimated times to degree. We found lower, but
still on average moderate levels of depression symptoms compared to the
previous year, and continued experiences of emotional, financial, educational,
and career stressors. Findings point to the importance of institutional material
and psychological structural supports over time.

<br>
DOI: 10.3886/e195752v3
title: Is it Any Better? A Comparison of Ph.D. Students’ Experiences and Degree Completion Plans between Summer 2020 and 2021

description: Ph.D. students’ experiences in
graduate school and associated outcomes vary by field of study, learning
environment conditions, and support structures. In the context of the COVID-19
pandemic specifically, Ph.D. students’ individual educational trajectories were
potentially rendered more uncertain as disruptive conditions for learning and
research continued over the past several years. We compared the reports of 442
Ph.D. students at twelve U.S. institutions in terms of their experiences of
support or marginalization and educational plans from summer 2020 with
follow-up data gathered during summer 2021. We then examined factors related to
PhD students’ changes in their estimated times to degree. We found lower, but
still on average moderate levels of depression symptoms compared to the
previous year, and continued experiences of emotional, financial, educational,
and career stressors. Findings point to the importance of institutional material
and psychological structural supports over time.

<br>
DOI: 10.5517/ccdc.csd.cc2fcxd4
title: CCDC 2245776: Experimental Crystal Structure Determination

description: Related Article: Partha Pratim Mondal, Nilanjan Seal, Manpreet Singh, Subhadip Neogi|2023|Dalton Trans.|52|8661|doi:10.1039/D3DT01053H
description: Related Article: Manpreet Singh, Arun Karmakar, Nilanjan Seal, Partha Pratim Mondal, Subrata Kundu, Subhadip Neogi|2023|ACS Applied Materials and Interfaces|15|24504|doi:10.1021/acsami.3c03619
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.cc2fz6pb
title: CCDC 2263362: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Jin, Yongjie Lin, Robert P. Davies|2023|Cat.Sci.Tech.|13|7181|doi:10.1039/D3CY00767G
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.cc2fz6qc
title: CCDC 2263363: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Jin, Yongjie Lin, Robert P. Davies|2023|Cat.Sci.Tech.|13|7181|doi:10.1039/D3CY00767G
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.cc2fz6rd
title: CCDC 2263364: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Jin, Yongjie Lin, Robert P. Davies|2023|Cat.Sci.Tech.|13|7181|doi:10.1039/D3CY00767G
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.cc2fz6sf
title: CCDC 2263365: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Jin, Yongjie Lin, Robert P. Davies|2023|Cat.Sci.Tech.|13|7181|doi:10.1039/D3CY00767G
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.cc2fz6tg
title: CCDC 2263366: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Jin, Yongjie Lin, Robert P. Davies|2023|Cat.Sci.Tech.|13|7181|doi:10.1039/D3CY00767G
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.cc2fz6vh
title: CCDC 2263367: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Jin, Yongjie Lin, Robert P. Davies|2023|Cat.Sci.Tech.|13|7181|doi:10.1039/D3CY00767G
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.cc2fzfgb
title: CCDC 2263572: Experimental Crystal Structure Determination

description: Related Article: Simon J. Coles, Simon Cooper, Wim T. Klooster, Laura J McCormick Mc Pherson, Andrew W. G. Platt|2023|Eur.J.Inorg.Chem.|26|e202300375|doi:10.1002/ejic.202300375
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.cc2fzfhc
title: CCDC 2263573: Experimental Crystal Structure Determination

description: Related Article: Simon J. Coles, Simon Cooper, Wim T. Klooster, Laura J McCormick Mc Pherson, Andrew W. G. Platt|2023|Eur.J.Inorg.Chem.|26|e202300375|doi:10.1002/ejic.202300375
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.cc2bypbb
title: CCDC 2173482: Experimental Crystal Structure Determination

description: Related Article: E.C.L. Jones, K.E. Goldsmith, M.R. Ward, L.M. Bimbo, I.D.H. Oswald|2023|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|79|164|doi:10.1107/S2052520623001282
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.cc2fzmwy
title: CCDC 2263771: Experimental Crystal Structure Determination

description: Related Article: Minghui Wei|2023|CSD Communication|||
description: Related Article: Minghui Wei, Jiankun Chen, Chengkou Liu, Zhao Yang, Hong Qin, Yujing Hu, Jindian Duan, Yuguang Li, Zheng Fang, Kai Guo|2023|Org.Chem.Front.|11|83|doi:10.1039/D3QO01508D
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: 10.25505/fiz.icsd.cc2cmjj2
title: CSD 2193514: Experimental Crystal Structure Determination

description: Related Article: Gregory Morrison, Lakshani W. Masachchi, Hunter B. Tisdale, Tieyan Chang, Virginia G. Jones, K. Pilar Zamorano, Logan S. Breton, Mark D. Smith, Yu-Sheng Chen, Hans-Conrad zur Loye|2023|Dalton Trans.|52|8425|doi:10.1039/D3DT00352C
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2cmjl4
title: CSD 2193516: Experimental Crystal Structure Determination

description: Related Article: Gregory Morrison, Lakshani W. Masachchi, Hunter B. Tisdale, Tieyan Chang, Virginia G. Jones, K. Pilar Zamorano, Logan S. Breton, Mark D. Smith, Yu-Sheng Chen, Hans-Conrad zur Loye|2023|Dalton Trans.|52|8425|doi:10.1039/D3DT00352C
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2g01sb
title: CSD 2264171: Experimental Crystal Structure Determination

description: Related Article: V. Nytka, V. Kordan, A. Stetskiv, V. Pavlyuk|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|257|doi:10.1107/S2053229623004369
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g01vd
title: CCDC 2264173: Experimental Crystal Structure Determination

description: Related Article: Yuanfeng Li, Difei Zhang, Zhenqiang Huang, Tianyang Zhang, Nan Zheng, Feng Peng, Lei Ying, Fei Huang|2023|J.Mater.Chem.C|11|15426|doi:10.1039/D3TC01742G
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: 10.25625/iypekx/d8drzr
title: 466_Personen_-_Big_Abfrage_II_todesorte.tab

description: :unav
DOI: 10.25625/iypekx/bi7nev
title: 471_Personen_-_Big_Abfrage_II_MPG-Pos.tab

description: :unav
DOI: 10.25625/iypekx/sjusvu
title: requirements.txt

description: :unav