cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15161/oar.it/212309
title: Carta Geologica d'Italia alla scala 1:50.000, F. 367 Tagliacozzo

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1984 e il 1991) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.6084/m9.figshare.23982912
title: Digital citizen science for ethical surveillance of physical activity frequency among youth: mobile ecological prospective assessments vs. retrospective recall

description: Data for Digital citizen science for ethical surveillance of physical activity frequency among youth: mobile ecological prospective assessments vs. retrospective recall
DOI: 10.6084/m9.figshare.23982912.v5
title: Digital citizen science for ethical surveillance of physical activity frequency among youth: mobile ecological prospective assessments vs. retrospective recall

description: Data for Digital citizen science for ethical surveillance of physical activity frequency among youth: mobile ecological prospective assessments vs. retrospective recall
DOI: 10.6084/m9.figshare.23982912.v4
title: Digital citizen science for ethical surveillance of physical activity frequency among youth: mobile ecological prospective assessments vs. retrospective recall

description: Data for Digital citizen science for ethical surveillance of physical activity frequency among youth: mobile ecological prospective assessments vs. retrospective recall
DOI: 10.18112/openneuro.ds004516.v2.0.2
title: AVID: Audio-Visual Individual Differences dataset
DOI: 10.34740/kaggle/dsv/10853291
title: Heart Attack Risk & Prediction Dataset In India
DOI: 10.5281/zenodo.14926150
title: Interviews relating to article: Architecture and the Built Environment Seen Through the Eye of the Lens and AI – Does it Matter Which? by Martine Hamilton Knight

description: This dataset includes two illustrated interviews as word docx format conducted July and August 2024 with Martine Hamilton Knight and:



Damon Leverett - Midjourney user and architect

Clarissa Machado - Neuroarchitect


on the theme of Architecture and the Built Environment Seen Through the Eye of the Lens and AI – Does it Matter Which?
DOI: 10.5281/zenodo.14926151
title: Interviews relating to article: Architecture and the Built Environment Seen Through the Eye of the Lens and AI – Does it Matter Which? by Martine Hamilton Knight

description: This dataset includes two illustrated interviews as word docx format conducted July and August 2024 with Martine Hamilton Knight and:



Damon Leverett - Midjourney user and architect

Clarissa Machado - Neuroarchitect


on the theme of Architecture and the Built Environment Seen Through the Eye of the Lens and AI – Does it Matter Which?
DOI: 10.3886/icpsr38856.v1
title: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
title: Version 1

description: This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources. Research to date has focused on racial and geographic disparities in school-level vaccination rates. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space. The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.
description: Datasets: DS1: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
description: Public schools in New York City.
DOI: 10.3886/icpsr38856.v2
title: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
title: Version 2

description: This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources. Research to date has focused on racial and geographic disparities in school-level vaccination rates. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space. The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.
description: Datasets: DS1: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
description: Public schools in New York City.
DOI: 10.3886/icpsr38856.v3
title: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
title: Version 3

description: This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources.
Research to date has focused on racial and geographic disparities in school-level vaccination rates. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space.
The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.
description: Datasets: 
DS1: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
description: Public schools in New York City.
DOI: 10.3886/icpsr38856
title: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
title: Archival Version

description: This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources.
Research to date has focused on racial and geographic disparities in school-level vaccination rates, and on racial and ethnic group differences in New York City schoolchildren becoming fully vaccinated (two doses) within 6 months of vaccine eligibility. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space.
The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.
description: Datasets: 
DS0: Study-Level Files
DS1: Analysis of school-level vaccination rates by race, ethnicity, and geography in New York City
DS2: COVID-19 vaccines for children: Racial and ethnic disparities in New York City
description: DS1: Public schools in New York City.
DS2: Students between the ages 5 and 18 attending public schools in New York City as of May 27, 2022..
DOI: 10.3886/icpsr38856.v4
title: Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022
title: Version 4

description: This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources.
Research to date has focused on racial and geographic disparities in school-level vaccination rates, and on racial and ethnic group differences in New York City schoolchildren becoming fully vaccinated (two doses) within 6 months of vaccine eligibility. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space.
The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.
description: Datasets: 
DS0: Study-Level Files
DS1: Analysis of school-level vaccination rates by race, ethnicity, and geography in New York City
DS2: COVID-19 vaccines for children: Racial and ethnic disparities in New York City
description: DS1: Public schools in New York City.
DS2: Students between the ages 5 and 18 attending public schools in New York City as of May 27, 2022..
DOI: 10.6073/pasta/1439fca7210e4456c5f648c256add292
title: Carbon decomposition and nitrogen mineralization in Marsden agroecosystem diversification experiment, Iowa, 2021

description: This dataset contains measurements of soil carbon decomposition and nitrogen mineralization from 36 soils in the Marsden agroecosystem diversification experiment. Soil samples were collected in fall 2021 from a long-term experiment initiated in 2002 at Iowa State University's Marsden Farm. The dataset includes laboratory data on soil organic carbon (SOC) content, soil total nitrogen content, the carbon-to-nitrogen ratio of soil, time-series CO2 fluxes from SOC decomposition in a 13.5-month lab incubation, and soil nitrogen mineralization rates. It also provides model simulations of SOC decomposition from different carbon pools using three process-based models: the Agricultural version of the Integrated Biosphere Simulator (Agro-IBIS), CN-SIM, and the Microbial-ENzyme Decomposition (MEND) models.
DOI: 10.5281/zenodo.14926134
title: FESOM2 meshes: NG5

description: FESOM2 mesh with a resolution increased in energetacally active areas. The resolution at the equator is around 14 km, with a maximum resolution of 5 km.

Vertices: 7402886, Triangles: 14741520

Mesh is generated with JIGSAW-GEO

To reproduce the plot, you need pyfesom2 installed. The resolution is shown according to Danilov (2022).
DOI: 10.5281/zenodo.14926135
title: FESOM2 meshes: NG5

description: FESOM2 mesh with a resolution increased in energetacally active areas. The resolution at the equator is around 14 km, with a maximum resolution of 5 km.

Vertices: 7402886, Triangles: 14741520

Mesh is generated with JIGSAW-GEO

To reproduce the plot, you need pyfesom2 installed. The resolution is shown according to Danilov (2022).
DOI: 10.25625/jt4crw/0zv84y
title: Leh72Corona.tif

description: :unav
DOI: 10.25625/jt4crw/48n8kd
title: LehBoundary.zip

description: :unav
DOI: 10.25625/jt4crw/5jyjj9
title: Diskit74Corona.tif

description: :unav
DOI: 10.25625/jt4crw/6o2pt0
title: Diskit2018GoogleEarth.tif

description: :unav
DOI: 10.25625/jt4crw/dk28ps
title: Data_Leh_and_Diskit_v2.tab

description: Data of HH interviews in Leh and Diskit, Ladakh
DOI: 10.25625/jt4crw/eny1bv
title: Leh2019GoogleEarth.tif

description: :unav
DOI: 10.25625/jt4crw/ezcuff
title: Diskit2002GoogleEarth.tif

description: :unav
DOI: 10.25625/jt4crw/hbs5i9
title: Read.txt

description: :unav
DOI: 10.25625/jt4crw/hlpjou
title: Diskit2002_LU.zip

description: :unav
DOI: 10.25625/jt4crw/hwsdqb
title: Leh2019_LU.zip

description: :unav
DOI: 10.25625/jt4crw/jar3xv
title: Historic livestock data Leh and Diskit.tab

description: this file depicts changes in livestock numbers 1999 to 2019
DOI: 10.25625/jt4crw/od35mc
title: Diskit2018_LU.zip

description: :unav
DOI: 10.25625/jt4crw/oe2wlt
title: Leh72_LU.zip

description: :unav
DOI: 10.25625/jt4crw/ovuakl
title: Leh2003GoogleEarth.tif

description: :unav
DOI: 10.25625/jt4crw/sgxeqp
title: DiskitBoundary.zip

description: :unav
DOI: 10.25625/jt4crw/txzr2l
title: Leh2003_LU.zip

description: :unav
DOI: 10.25625/jt4crw/wx77hp
title: Diskit74_LU.zip

description: :unav
DOI: 10.5281/zenodo.14926176
title: Bibliometric dataset on rare earth metals research in Ukraine

description: This dataset contains bibliometric data related to research on rare earth metals (REMs) in Ukraine. The dataset was compiled using the Web of Science Core Collection and includes records from 1991 to 2024. It provides insights into Ukraine’s research output, key contributors, collaboration networks, research topics, and publication trends in the field of REMs. The dataset aims to support researchers, policymakers, and stakeholders in assessing Ukraine’s role in the global rare earth metals research landscape and identifying potential international partnerships.

The dataset was generated using the following search query in the Web of Science Core Collection: TS=("rare earth metal*" OR scandium OR yttrium OR lanthanum OR cerium OR praseodymium OR neodymium OR promethium OR samarium OR europium OR gadolinium OR terbium OR dysprosium OR holmium OR erbium OR thulium OR ytterbium OR lutetium") AND CU=Ukraine

This query ensures the retrieval of publications explicitly related to rare earth metals and critical materials with at least one author affiliated with a Ukrainian institution.
DOI: 10.5281/zenodo.13821565
title: Ensemble-based design of tau to inhibit aggregation while preserving biological activity

description: The microtubule-associated protein tau is implicated in neurodegenerative diseases characterized by amyloid formation. Mutations associated with frontotemporal dementia increase tau aggregation propensity, disrupting its endogenous microtubule-binding activity. The structural relationship between aggregation propensity and biological activity remains unclear. We employed a multi-disciplinary approach, including computational modeling, NMR, cross-linking mass spectrometry, and cell models to design tau sequences that stabilize thier structural ensemble. Our findings show that substitutions near the conserved 'PGGG' β-turn motif can alter local conformations, promoting more stable interactions with the 306VQIVYK311 amyloid motif that reduce aggregation in vitro and in cells, even counteracting aggregation induced by turn destabilizing disease-associated proline-to-serine mutations. Designed tau sequences maintain microtubule binding and explain why 3R isoforms exhibit reduced pathogenesis over 4R isoforms. We propose a simple mechanism to reduce the formation of pathogenic species while preserving biological function, offering insights for therapeutic strategies aimed at reducing protein misfolding in neurodegenerative diseases.

Description of Source Data and Supplementary Data: All MD, NMR (peptide and tauRD), ThT, XL-MS, MT stabilization, MT:tau modeling, and cell-based aggregation data are available in the Source_Data directory as Source Data 1, Source Data 2, Source Data 3 and 4, Source Data 5, Source Data 6, Source Data 7, and Source Data 8, respectively. Supplementary Data for raw MD trajectory files, structure files for MSM modeling and validation file, and tau:MT modeling are available as "Supplementary_Data_MD_Trajectories_Structures", "Supplementary_Data_MSM_models_Structures" and "Supplementary_Data_MT-tau_complex_models", respectively."
DOI: 10.5281/zenodo.14921078
title: Amyloid-motif-dependent tau self-assembly is modulated by isoform sequence context

description: The microtubule-associated protein tau is implicated in neurodegenerative diseases characterized by amyloid formation. Mutations associated with frontotemporal dementia increase tau aggregation propensity and disrupt its endogenous microtubule-binding activity. However, the structural relationship between aggregation propensity and biological activity remains unclear. We employed a multi-disciplinary approach, including computational modeling, NMR, cross-linking mass spectrometry, and cell models to engineer tau sequences that modulate its structural ensemble. Our findings show that substitutions near the conserved 'PGGG' β-turn motif informed by tau isoform context reduce tau aggregation in vitro and cells and can even counteract aggregation promoting disease-associated proline-to-serine mutations. Engineered tau sequences maintain microtubule binding and explain why 3R isoforms exhibit reduced pathogenesis compared to 4R. We propose a simple mechanism to reduce the formation of pathogenic species while preserving biological function, thus offering insights for therapeutic strategies aimed at reducing tau protein misfolding in neurodegenerative diseases.

Description of Source Data and Supplementary Data: All MD, NMR (peptide and tauRD), ThT, XL-MS, MT stabilization, MT:tau modeling, and cell-based aggregation data are available in the Source_Data directory as Source Data 1, Source Data 2, Source Data 3 and 4, Source Data 5, Source Data 6, Source Data 7, and Source Data 8, respectively. Supplementary Data for raw MD trajectory files, structure files for MSM modeling and validation file, and tau:MT modeling are available as "Supplementary_Data_MD_Trajectories_Structures", "Supplementary_Data_MSM_models_Structures" and "Supplementary_Data_MT-tau_complex_models", respectively."
DOI: 10.25625/jt4crw
title: Ladakh interview and landuse data 2019

description: The interviews have been conducted in Ladakh, Leh and Diskit settlements, in 2019. They depict the cropping and livestock activities of the interviewed households. The Geodata depicts the land use changes in Leh and Diskit from the 1970s through the early years of 2000 until 2018/19.
DOI: 10.5517/ccdc.csd.cc2h1y0j
title: CCDC 2295767: Experimental Crystal Structure Determination

description: Related Article: Ye Lim Kim, Yuri Yun, Seoung-Mi Choi, Ju Hyun Kim|2025|Org.Chem.Front.|12|1452|doi:10.1039/D4QO01980F
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.cc2hlgcy
title: CCDC 2311650: Experimental Crystal Structure Determination

description: Related Article: Peng Fan, Lequn Yuan, Yuzhen Zhang|2025|Inorg.Chem.Front.|12|1812|doi:10.1039/D4QI02842B
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.cc2hlgdz
title: CCDC 2311651: Experimental Crystal Structure Determination

description: Related Article: Peng Fan, Lequn Yuan, Yuzhen Zhang|2025|Inorg.Chem.Front.|12|1812|doi:10.1039/D4QI02842B
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.