cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cjbgq
title: CCDC 2190443: Experimental Crystal Structure Determination

description: Related Article: Qing Wu|2023|J.Coord.Chem.|76|479|doi:10.1080/00958972.2023.2183126
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.cc2d74tm
title: CCDC 2211410: Experimental Crystal Structure Determination

description: Related Article: Luigi Menduti, Clara Baldoli, Simone Manetto, Michael Bolte, Hans‐Wolfram Lerner, Giovanna Longhi, Claudio Villani, Emanuela Licandro, Matthias Wagner|2023|Angew.Chem.,Int.Ed.|62|e202215468|doi:10.1002/anie.202215468
description: Related Article: Michael Bolte, Luigi Menduti, Matthias Wagner|2023|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.cc2d7bdd
title: CCDC 2211583: Experimental Crystal Structure Determination

description: Related Article: Jun-Chao Liu, Hang Peng, Xiao-Gang Chen, Hui-Peng Lv, Xian-Jiang Song, Ren-Gen Xiong, Wei-Qiang Liao|2023|JACS Au|3|1196|doi:10.1021/jacsau.3c00059
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.cc2d7bgg
title: CCDC 2211585: Experimental Crystal Structure Determination

description: Related Article: Jun-Chao Liu, Hang Peng, Xiao-Gang Chen, Hui-Peng Lv, Xian-Jiang Song, Ren-Gen Xiong, Wei-Qiang Liao|2023|JACS Au|3|1196|doi:10.1021/jacsau.3c00059
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.cc2d7gch
title: CCDC 2211706: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Yuen Cheong Tse, Andrew Docker, Christian Gateley, Amber L. Thompson, Heike Kuhn, Zongyao Zhang, Paul D. Beer|2023|Angew.Chem.,Int.Ed.|62|e202214785|doi:10.1002/anie.202214785
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.cc2d7gpt
title: CCDC 2211716: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Yuen Cheong Tse, Andrew Docker, Christian Gateley, Amber L. Thompson, Heike Kuhn, Zongyao Zhang, Paul D. Beer|2023|Angew.Chem.,Int.Ed.|62|e202214785|doi:10.1002/anie.202214785
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.cc2d7gqv
title: CCDC 2211717: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Yuen Cheong Tse, Andrew Docker, Christian Gateley, Amber L. Thompson, Heike Kuhn, Zongyao Zhang, Paul D. Beer|2023|Angew.Chem.,Int.Ed.|62|e202214785|doi:10.1002/anie.202214785
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.cc2d7grw
title: CCDC 2211718: Experimental Crystal Structure Determination

description: Related Article: Hui Min Tay, Yuen Cheong Tse, Andrew Docker, Christian Gateley, Amber L. Thompson, Heike Kuhn, Zongyao Zhang, Paul D. Beer|2023|Angew.Chem.,Int.Ed.|62|e202214785|doi:10.1002/anie.202214785
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.cc2d7hqw
title: CCDC 2211748: Experimental Crystal Structure Determination

description: Related Article:  Ji‐Kun Li, Xing‐Yu Chen, Wen‐Long Zhao, Yun‐Long Guo, Yi Zhang, Xin‐Chang Wang, Andrew C.‐H. Sue, Xiao‐Yu Cao, Meng Li, Chuan‐Feng Chen, Xiao‐Ye Wang|2023|Angew.Chem.,Int.Ed.|62|e202215367|doi:10.1002/anie.202215367
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.7751780
title: Data and codes for "Dynamical Quantum Phase Transitions Following Double Quenches"

description: Codes for producing figures and data in the paper "Dynamical Quantum Phase Transitions Following Double Quenches" (https://arxiv.org/abs/2302.01661). Included are the data for the return rates and python codes for producing this data and the figures. A Mathematica file is included which was used for analysing the conditions for DQPTs in the paper, and for producing the remaining figures.
DOI: 10.5281/zenodo.7751779
title: Data and codes for "Dynamical Quantum Phase Transitions Following Double Quenches"

description: Codes for producing figures and data in the paper "Dynamical Quantum Phase Transitions Following Double Quenches" (https://arxiv.org/abs/2302.01661). Included are the data for the return rates and python codes for producing this data and the figures. A Mathematica file is included which was used for analysing the conditions for DQPTs in the paper, and for producing the remaining figures.
DOI: 10.3886/e190402
title: Data and Code for: Gendered Disparities during the COVID-19 Crisis in Sierra Leone

description: The COVID-19 outbreak had severe adverse impacts on the health and the wealth of households in lower-income countries (LICs), and has affected even more severely female-headed households in LICs. Using high-frequency phone surveys in Sierra Leone, we show that female-headed households are likely to rely on cheaper food alternatives (e.g., Cassava) compared to male-headed households and are more food insecure. These effects are more nuanced among the poorest families, owning one or no assets. Furthermore, female-headed households had less access to COVID-19 information and are less likely to adopt preventive measures (e.g., masks and social distancing) at the onset of the pandemic and show greater signs of vaccine hesitancy in the early stages of COVID-19 vaccine campaign.
DOI: 10.3886/e190402v1
title: Data and Code for: Gendered Disparities during the COVID-19 Crisis in Sierra Leone

description: The COVID-19 outbreak had severe adverse impacts on the health and the wealth of households in lower-income countries (LICs), and has affected even more severely female-headed households in LICs. Using high-frequency phone surveys in Sierra Leone, we show that female-headed households are likely to rely on cheaper food alternatives (e.g., Cassava) compared to male-headed households and are more food insecure. These effects are more nuanced among the poorest families, owning one or no assets. Furthermore, female-headed households had less access to COVID-19 information and are less likely to adopt preventive measures (e.g., masks and social distancing) at the onset of the pandemic and show greater signs of vaccine hesitancy in the early stages of COVID-19 vaccine campaign.
DOI: 10.35078/a5jkpn
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Passabem

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7871633
title: Azcorra2023 - Raw fiber photometry recordings

description: Raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. Metadata for these recordings (recording location, mouse sex...) can be found in the pre-processed dataset (see below). The code used to pre-processed this data to get DF/F is available on GitHub (https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023) and Zenodo (DOI: 10.5281/zenodo.7872052, https://zenodo.org/record/7872052). We have also made the pre-processed data available on Zenodo (DOI: 10.5281/zenodo.7871982, https://zenodo.org/record/7871982). The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.
description: Recordings are organized in folders indicating the batch of mice. Within them, each mouse has its own folder, with further folders inside, one per recording as saved by Picoscope. Recordings are labelled with the date, so a set of recordings in one session will all be labelled with the date and a number.
DOI: 10.3886/e189561
title: Data and code for: Learning Curve: Progress in the Replication Crisis

description: We present detailed monitoring data across a five-country randomized trial of phone-based targeted tutoring – one of the largest multi-country replication efforts in education to date. We study an approach shown to work in Botswana and replicated in India, Kenya, Nepal, Philippines, and Uganda. While the existing literature often finds diminishing effects as proof-of-concept studies are replicated and scaled, we find the opposite: implementation fidelity (the degree of targeted educational instruction) improves across replications and over time. This demonstrates that replication is not intractable; rather, equipped with mechanisms to learn from experience, organizational “learning curves” can enable effective replication and scale-up.
description: Primary school students and caregivers across Botswana, Nepal, Uganda and Philippines.<br>.
DOI: 10.3886/e189561v1
title: Data and code for: Learning Curve: Progress in the Replication Crisis

description: We present detailed monitoring data across a five-country randomized trial of phone-based targeted tutoring – one of the largest multi-country replication efforts in education to date. We study an approach shown to work in Botswana and replicated in India, Kenya, Nepal, Philippines, and Uganda. While the existing literature often finds diminishing effects as proof-of-concept studies are replicated and scaled, we find the opposite: implementation fidelity (the degree of targeted educational instruction) improves across replications and over time. This demonstrates that replication is not intractable; rather, equipped with mechanisms to learn from experience, organizational “learning curves” can enable effective replication and scale-up.
description: Primary school students and caregivers across Botswana, Nepal, Uganda and Philippines.<br>.
DOI: 10.3886/e189101
title: Code for: Exacerbated Inequalities: the Learning Loss from COVID-19 in Italy

description: Using administrative data on the universe of 8th graders, we study learning losses in Italy between 2021 and 2019 to estimate the effect of schools' closures due to the COVID-19 pandemic. We find an average learning loss of 0.14 SD in math and 0.05 SD in reading. The pandemic widened pre-existing gaps by socio-economic status (SES): students in the bottom quintile of SES learnt 0.21 SD less in math and 0.10 SD less in reading. Learning losses for immigrant students in math are larger than for native ones. We do not find economically significant differences by gender.
DOI: 10.3886/e189101v1
title: Code for: Exacerbated Inequalities: the Learning Loss from COVID-19 in Italy

description: Using administrative data on the universe of 8th graders, we study learning losses in Italy between 2021 and 2019 to estimate the effect of schools' closures due to the COVID-19 pandemic. We find an average learning loss of 0.14 SD in math and 0.05 SD in reading. The pandemic widened pre-existing gaps by socio-economic status (SES): students in the bottom quintile of SES learnt 0.21 SD less in math and 0.10 SD less in reading. Learning losses for immigrant students in math are larger than for native ones. We do not find economically significant differences by gender.
DOI: 10.5281/zenodo.7871981
title: Azcorra2023 - Fiber photometry recordings (pre-processed to get DF/F)

description: Pre-processed raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. This dataset has been pre-processed to calculate DF/F from the raw data (see below for code and raw data), which are then normalized from 0 to 1 (un-normalized DF/F data can be recovered using the 'norm' value included in the dataset). This dataset also includes metadata for each recording (recording location, mouse sex...). The code used to generate this pre-processed data from raw data is available on GitHub (https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023) and Zenodo (DOI: 10.5281/zenodo.7872052, https://zenodo.org/record/7872052). The original raw data has been deposited on Zenodo (DOI: 10.5281/zenodo.7871634, https://zenodo.org/record/7871634). The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.
DOI: 10.5281/zenodo.7900605
title: PrimeWater Virtual Lab: Experiment B4

description: <strong>Input and output data for Experiment B4 of PrimeWater's Virtual Lab.</strong> Experiment Name: <strong>Developing an error-correcting complementary modeling approach for surface water quality</strong>
DOI: 10.5281/zenodo.7900604
title: PrimeWater Virtual Lab: Experiment B4

description: <strong>Input and output data for Experiment B4 of PrimeWater's Virtual Lab.</strong> Experiment Name: <strong>Developing an error-correcting complementary modeling approach for surface water quality</strong>
DOI: 10.5281/zenodo.7871634
title: Azcorra2023 - Raw fiber photometry recordings

description: Raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. Metadata for these recordings (recording location, mouse sex...) can be found in the pre-processed dataset (see below). The code used to pre-processed this data to get DF/F is available on GitHub (https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023) and Zenodo (DOI: 10.5281/zenodo.7872052, https://zenodo.org/record/7872052). We have also made the pre-processed data available on Zenodo (DOI: 10.5281/zenodo.7871982, https://zenodo.org/record/7871982). The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.
description: Recordings are organized in folders indicating the batch of mice. Within them, each mouse has its own folder, with further folders inside, one per recording as saved by Picoscope. Recordings are labelled with the date, so a set of recordings in one session will all be labelled with the date and a number.
DOI: 10.5281/zenodo.7871982
title: Azcorra2023 - Fiber photometry recordings (pre-processed to get DF/F)

description: Pre-processed raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. This dataset has been pre-processed to calculate DF/F from the raw data (see below for code and raw data), which are then normalized from 0 to 1 (un-normalized DF/F data can be recovered using the 'norm' value included in the dataset). This dataset also includes metadata for each recording (recording location, mouse sex...). The code used to generate this pre-processed data from raw data is available on GitHub (https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023) and Zenodo (DOI: 10.5281/zenodo.7872052, https://zenodo.org/record/7872052). The original raw data has been deposited on Zenodo (DOI: 10.5281/zenodo.7871634, https://zenodo.org/record/7871634). The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.
DOI: 10.35078/zgh2y1
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Diamantina | Município: Santo Hipólito

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.6084/m9.figshare.22766789.v1
title: Mammal Species Traits - Manu National Park, Peru

description: This dataset contains mammal species as rows (species captured on camera traps at Cocha Cashu Biological Station and indigenous communities: Maizal, Tayakome, and Yomibato, in Manu National Park, Peru), and their traits as columns, including diet, body mass (Kg), average litter size, and generation length (yrs). <br> Body mass and diet were extracted from Elton traits database (Wilman et al., 2014). Generation length (yrs) was extracted from the Pacifici database (Pacifici et al., 2013), and average litter size from the PanTHERIA database (Jones et al., 2009). <br> For several species, average litter size needed to be taken from alternative data sources: <br> <em>1. Ateles chamek </em>extracted from https://animaldiversity.org/accounts/Ateles_chamek/ <em>2. Dasypus Kappleri</em> (Eisenberg, 1989) <em>3. Eira Barbara </em>https://animaldiversity.org/accounts/Eira_barbara/ <em>4. Myoprocta pratti </em>https://animaldiversity.org/accounts/Myoprocta_pratti/ 5. <em>Philander andersoni </em>https://animaldiversity.org/accounts/Philander_andersoni/ <em>6. Puma concolor </em>https://animaldiversity.org/accounts/Puma_concolor/ <em>6. Saimiri boliviensis </em>https://animaldiversity.org/accounts/Saimiri_boliviensis/ 7. <em>Sciurus ignitus</em> and <em>Sciurus spadiceus</em> were given 3.5 based on the range (2-5) within Neotropical tree squirrels (Eisenberg & Redford, 1999). <br> Eisenberg, J. F. (1989). <em>Mammals of the Neotropics. The Northern Neotropics. Vol. 1</em>. Chicago, USA and London, UK: The University of Chicago Press. <br> Eisenberg, J. F., & Redford, K. H. (1999). <em>Mammals of the neotropics. The central neotropics. Vol. 3</em>. London: The University of Chicago Press
DOI: 10.6084/m9.figshare.22766789
title: Mammal Species Traits - Manu National Park, Peru

description: This dataset contains mammal species as rows (species captured on camera traps at Cocha Cashu Biological Station and indigenous communities: Maizal, Tayakome, and Yomibato, in Manu National Park, Peru), and their traits as columns, including diet, body mass (Kg), average litter size, and generation length (yrs). <br> Body mass and diet were extracted from Elton traits database (Wilman et al., 2014). Generation length (yrs) was extracted from the Pacifici database (Pacifici et al., 2013), and average litter size from the PanTHERIA database (Jones et al., 2009). <br> For several species, average litter size needed to be taken from alternative data sources: <br> <em>1. Ateles chamek </em>extracted from https://animaldiversity.org/accounts/Ateles_chamek/ <em>2. Dasypus Kappleri</em> (Eisenberg, 1989) <em>3. Eira Barbara </em>https://animaldiversity.org/accounts/Eira_barbara/ <em>4. Myoprocta pratti </em>https://animaldiversity.org/accounts/Myoprocta_pratti/ 5. <em>Philander andersoni </em>https://animaldiversity.org/accounts/Philander_andersoni/ <em>6. Puma concolor </em>https://animaldiversity.org/accounts/Puma_concolor/ <em>6. Saimiri boliviensis </em>https://animaldiversity.org/accounts/Saimiri_boliviensis/ 7. <em>Sciurus ignitus</em> and <em>Sciurus spadiceus</em> were given 3.5 based on the range (2-5) within Neotropical tree squirrels (Eisenberg & Redford, 1999). <br> Eisenberg, J. F. (1989). <em>Mammals of the Neotropics. The Northern Neotropics. Vol. 1</em>. Chicago, USA and London, UK: The University of Chicago Press. <br> Eisenberg, J. F., & Redford, K. H. (1999). <em>Mammals of the neotropics. The central neotropics. Vol. 3</em>. London: The University of Chicago Press
DOI: 10.5287/ora-00q5w9jem
title: Super-resolution electron ptychography of low dimensional materials at 30keV beyond the detector limit : 4DSTEM data

description: 4DSTEM data set acquired with a MerlinEM - medipix 3 detecor at 30keV on a JEOL ARM300CF. In the hdf5 file the data can be found under the keys: Experiments\__unnamed__\data. All experimental parameters can be found in the publication: CS Allen et al, "Super-resolution electron ptychography of low dimensional materials at 30keV beyond the detector limit.", Applied Physics Letters. 2023