cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30486950.v1
title: Supplementary Material for: Drug-induced interstitial lung disease: a real-world pharmacovigilance study based on an adverse event reporting system

description: Background and Objective Drug-induced interstitial lung disease(DILD) involves different pathogenic mechanisms and it is difficult for clinicians to identify the culprit drug. There is currently no systematic research that allows us to understand the comprehensive situation of potential risk drugs and culprit drugs for DILD.
Methods This study retrospectively analyzed all adverse events related to DILD in FAERS, compiled a list of potential risk drugs leading to DILD and calculated the reporting ratio. In addition, all drugs within the list were detected using disproportionality analysis, a list of culprit drugs was developed based on the signal detection results, and the signal distribution characteristics were summarized. 
Results We obtained 108891 DILD-related reports and identified 1445 potential risk drugs from them. Overall, the drug with the highest number of reports was methotrexate, followed by amiodarone, nivolumab, pembrolizumab, and rituximab. Classifying all potential risk drugs (second level ATC subgroup), the subgroup with the highest number of reports is antineoplastic agents. Finally, we determined the list of culprit drugs, and 171 drugs showed positive signals by signal detection, while the other 1274 drugs were determined to be negative, with amiodarone obtaining the highest number of positive signals. Classify all the culprit drugs and distribute them positively and negatively. The number of drugs with positive signals is less than that with negative signals, and antineoplastic agents (L01) have the highest proportion among all positive drugs. 
Conclusion This study comprehensively displays all drugs related to DILD from a landscape perspective, promoting the rational use of drugs in clinical practice.
DOI: 10.6084/m9.figshare.30486911
title: <b>How Income Inequality Influences Demand-Driven Clean Innovation and the Shift to Clean Technology</b>

description: Technical change plays a crucial role in improving environmental quality, while the influence of demand-side factors remains insufficiently examined. To clarify the pull effect of consumer demand on the transition to clean technology, this study develops a model of directed technical change incorporating quality innovation in consumer goods. The analysis shows that the relative prices and market sizes of clean consumer goods drive the transition to clean technology, generating a direct demand-induced pull for clean innovations. Income inequality determines the market size of clean relative to dirty goods, thereby shaping innovation incentives and influencing the effectiveness of environmental policies. By integrating learning-by-doing and demand-induced innovation for dirty and clean technologies, respectively, the model captures the path dependence of technological progress and explains the dynamic 'U-shaped'evolution of environmental quality under environmental policy intervention. These findings provide theoretical insight into how consumer heterogeneity and income distribution affect the direction of innovation and the long-term transition toward cleaner technologies.
DOI: 10.6084/m9.figshare.30486911.v1
title: <b>How Income Inequality Influences Demand-Driven Clean Innovation and the Shift to Clean Technology</b>

description: Technical change plays a crucial role in improving environmental quality, while the influence of demand-side factors remains insufficiently examined. To clarify the pull effect of consumer demand on the transition to clean technology, this study develops a model of directed technical change incorporating quality innovation in consumer goods. The analysis shows that the relative prices and market sizes of clean consumer goods drive the transition to clean technology, generating a direct demand-induced pull for clean innovations. Income inequality determines the market size of clean relative to dirty goods, thereby shaping innovation incentives and influencing the effectiveness of environmental policies. By integrating learning-by-doing and demand-induced innovation for dirty and clean technologies, respectively, the model captures the path dependence of technological progress and explains the dynamic 'U-shaped'evolution of environmental quality under environmental policy intervention. These findings provide theoretical insight into how consumer heterogeneity and income distribution affect the direction of innovation and the long-term transition toward cleaner technologies.
DOI: 10.18150/lc1jqn
title: Hybrid of Indolizine and Merocyanine—A New Class of Organelle-Specific Dyes

description: Supplementary Information file consists of data that support the findings of this study, including synthetic protocols, analytical data, and spectroscopic data.
DOI: 10.5281/zenodo.17480773
title: Dust and Sun-Mars distance dependency of night-time Martian Thermosphere over upper latitudes of Northern Hemisphere during perihelion period of Solar maximum and minimum
DOI: 10.5281/zenodo.17480774
title: Dust and Sun-Mars distance dependency of night-time Martian Thermosphere over upper latitudes of Northern Hemisphere during perihelion period of Solar maximum and minimum
DOI: 10.15468/dl.mvvbth
title: Occurrence Download

description: A dataset containing 1374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrus ussuriensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1374 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007704-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16638276
title: Dataset for the article "Modeling Chemical Reactivity in Complex Systems: Insights from Hybrid QM/MM MD Simulations"

description: This dataset contains additional material related to the article "Modeling Chemical Reactivity in Complex Systems: Insights from Hybrid QM/MM MD Simulations", and the Jupyter notebooks with the analysis scripts to reproduce the plots in the article.
DOI: 10.5281/zenodo.16638277
title: Dataset for the article "Modeling Chemical Reactivity in Complex Systems: Insights from Hybrid QM/MM MD Simulations"

description: This dataset contains additional material related to the article "Modeling Chemical Reactivity in Complex Systems: Insights from Hybrid QM/MM MD Simulations", and the Jupyter notebooks with the analysis scripts to reproduce the plots in the article.
DOI: 10.15490/fairdomhub.1.datafile.8087.1
title: Figure S1

description: Illustration of bovine lung explant (BLE) in Tissue Culture Medium (TCM).
DOI: 10.18150/li5itp
title: Data for the article "Is there an impact of Ethereum Merge on the relationship between this cryptocurrency and energy portfolios?

description: Dataset used in the article "Is there an impact of Ethereum Merge on the relationship between this cryptocurrency and energy portfolios?". The file consists of the prices of Ether, three dirty-energy assets (Brent and WTI futures together with the MSCI-Energy index (https://www.msci.com/documents/10199/de6dfd90-3fcd-42f0-aaf9-4b3565462b5a) and three clean-energy ETFs: CNRG (SPDR S\&P Kensho Clean Power ETF - designed to capture companies whose products and services are driving innovation behind clean power), QCLN (First Trust NASDAQ Clean Edge Green Energy Index Fund, designed to track the Nasdaq Clean Edge Green Energy index which captures companies worldwide which operate in the clean energy sector) and ICLN (iShares Global Clean Energy ETF which track the S&P Global Clean Energy index comprising of the largest and most liquid stocks worldwide which are involved in clean energy business) from 15.03.2021 to 15.03.2024. Two last columns are the prices of the portfolios of cryptoassets: equally-weighted (Port_eq) and capitalisation-weighted (Port_cap). Among the crypto-assets included in the portfolio, we use Bitcoin (BTC), Litecoin (LTC), Ripple (XRP), Monero (XMR), Stellar (XLM), Ethereum Classic (ETC), Neo (NEO), EOS (EOS), Bitcoin Cash (BCH), Tron (TRX), Cardano(ADA), Binance (BNB), DOGE (DOGE) and Solana (SOL). These cryptocurrencies are of different proofing mechanisms and various capitalisations. They accounted for 80\% of the total cryptocurrency market capitalisation as of 15th of March, 2024 (https://coinmarketcap.com/historical/20240315/).
DOI: 10.15151/esrf-es-2268005766
title: XBIC on GaN

description: pump probe
DOI: 10.15151/esrf-es-2232204154
title: Determination of uranium(IV) crystal field parameters from RIXS

description: Understanding the magnetic properties of the actinides is non-trivial as spin-orbit and crystal field couplings are of the same magnitude so Russell-Saunders and jj models do not fully account for the data. Whilst the ligand field can, to an extent, be changed there is no consensus on how this can be modelled. We have used the template effect of the cations in A4[U(UNCS)8] complexes where moving from A = Cs, Me4N, nPr4N and Et4N the geometry changes from Square antiprismatic to cubic and the magnetism chnages across the series. Using SQUID and MCD measurements the modelling gives very diverging results that do not match the experiment. We believe this is because the crystal field parameters are not fully known. Modelling of RIXS at the U M4 or M5 edges can give direct access to these and this proposal aims to measure the RIXS spectra of A4[U(NCS)8 (A = Cs, Me, Et) and Cs5[U(NCS)9].HNCS so that the geometry can be fully understood.
DOI: 10.3886/e239382
title: HIFLD OPEN Intermodal Freight Facilities Marine Roll-on/Roll-off

description: The Intermodal Freight Facilities - Marine Roll-on/Roll-off dataset was compiled on July 01, 2019 and was updated on July 22, 2022 from the Bureau of Transportation Statistics (BTS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). When available, primary sources for this dataset were the websites of the ports, as well as port operators. Every facility is associated with a port and assumed to be served by both marine and truck, and those facilities which support rail operations, the reporting code for the operating rail company is also identified. The dataset also includes at least one Navigation Unit ID (NAV_UNIT_ID) from the U.S. Army Corps of Engineers (USACE) Port Facilities dataset which is associated with the Ro/Ro terminal. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.3886/e239382v1
title: HIFLD OPEN Intermodal Freight Facilities Marine Roll-on/Roll-off

description: The Intermodal Freight Facilities - Marine Roll-on/Roll-off dataset was compiled on July 01, 2019 and was updated on July 22, 2022 from the Bureau of Transportation Statistics (BTS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). When available, primary sources for this dataset were the websites of the ports, as well as port operators. Every facility is associated with a port and assumed to be served by both marine and truck, and those facilities which support rail operations, the reporting code for the operating rail company is also identified. The dataset also includes at least one Navigation Unit ID (NAV_UNIT_ID) from the U.S. Army Corps of Engineers (USACE) Port Facilities dataset which is associated with the Ro/Ro terminal. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.5281/zenodo.17376385
title: Pulse of the Library 2025

description:  






The 2025 Pulse of the Library report draws on insights from more than 2,000 librarians from 109 countries/regions, representing academic, public and national libraries. Building on the first report in 2024, it shows how libraries are adapting to rapid change, in particular considering AI, open science and evolving mission priorities.

Analysis was conducted in partnership with an external agency, TBI Communications, with further qualitative interviews led by Clarivate.

Content enclosed: Full survey findings in Excel
DOI: 10.5281/zenodo.17376386
title: Pulse of the Library 2025

description:  






The 2025 Pulse of the Library report draws on insights from more than 2,000 librarians from 109 countries/regions, representing academic, public and national libraries. Building on the first report in 2024, it shows how libraries are adapting to rapid change, in particular considering AI, open science and evolving mission priorities.

Analysis was conducted in partnership with an external agency, TBI Communications, with further qualitative interviews led by Clarivate.

Content enclosed: Full survey findings in Excel
DOI: 10.15151/esrf-es-2269508949
title: Olivine single crystal characterization

description: Characterizing prepared olivine single crystal
DOI: 10.5281/zenodo.17481204
title: Laborbestätigte Influenzafälle in Deutschland

description: Im Datensatz "Laborbestätigte Influenzafälle in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu Infektionen mit dem Influenzavirus nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Bundeslandebene zu Infektionen nach Falldefinition des Robert Koch-Instituts, differenziert nach Altersgruppen. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.17481205
title: Respiratorische Synzytialvirusfälle in Deutschland

description: Im Datensatz "Respiratorische Synzytialvirusfälle in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu Infektionen mit dem Respiratorischen Synzytial-Virus (RSV) nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Bundeslandebene zu Infektionen nach Falldefinition des Robert Koch-Instituts, differenziert nach Altersgruppen. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.15468/dl.f7mcc2
title: Occurrence Download

description: A dataset containing 1762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((55.98273 -14.42184,169.18199 -14.42184,169.18199 56.59042,55.98273 56.59042,55.98273 -14.42184))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Persicaria pubescens"
 ]
}

 The dataset includes 1762 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007708-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28425779
title: Origin of switchable quasiparticle-interference chirality in loop-current phase of kagome metals measured by scanning-tunneling-microscopy

description: Numerical data for Figs. 1-5, 7 and Figs. S1-S6.
DOI: 10.6084/m9.figshare.28425779.v1
title: Origin of switchable quasiparticle-interference chirality in loop-current phase of kagome metals measured by scanning-tunneling-microscopy

description: Numerical data for Figs. 1-5, 7 and Figs. S1-S6.
DOI: 10.6084/m9.figshare.29910476
title: epDevAtlas: Mapping GABAergic cells and microglia in the early postnatal mouse brain

description: The Early Postnatal Mouse Brain Developmental Atlas, Version 1.0 (epDevAtlas v1) is a suite of open access resources including 3D atlases of the early postnatally developing mouse brain and mapped cell type density growth charts, which can be used as standalone resources or to implement data integration. Deposited in figshare is a collection of data used for the epDevAtlas v1 web platform, which can be utilized to analyze and visualize the spatiotemporal growth of GABAergic, microglial, and cortical layer-specific cell type densities in 3D. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system with an isotropic resolution of 20 µm (XYZ in coronal plane). Average transformations were conducted at 20 µm voxel resolution by interpolating high resolution serial two photon tomography images from primarily Vip-IRES-Cre;Ai14 mice at postnatal (P) ages P4, P6, P8, P10, P12, and P14. For all ages, anatomical labels from the P56 Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) were iteratively down registered to each early postnatal time point in a non-linear manner, aided by manual parcellations of landmarks in 3D, consistent with the Allen Mouse Reference Atlas Ontology. All 3D-counted cell types were registered to age-matched epDevAtlas templates and annotations.
DOI: 10.6084/m9.figshare.29910476.v1
title: epDevAtlas: Mapping GABAergic cells and microglia in the early postnatal mouse brain

description: The Early Postnatal Mouse Brain Developmental Atlas, Version 1.0 (epDevAtlas v1) is a suite of open access resources including 3D atlases of the early postnatally developing mouse brain and mapped cell type density growth charts, which can be used as standalone resources or to implement data integration. Deposited in figshare is a collection of data used for the epDevAtlas v1 web platform, which can be utilized to analyze and visualize the spatiotemporal growth of GABAergic, microglial, and cortical layer-specific cell type densities in 3D. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system with an isotropic resolution of 20 µm (XYZ in coronal plane). Average transformations were conducted at 20 µm voxel resolution by interpolating high resolution serial two photon tomography images from primarily Vip-IRES-Cre;Ai14 mice at postnatal (P) ages P4, P6, P8, P10, P12, and P14. For all ages, anatomical labels from the P56 Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) were iteratively down registered to each early postnatal time point in a non-linear manner, aided by manual parcellations of landmarks in 3D, consistent with the Allen Mouse Reference Atlas Ontology. All 3D-counted cell types were registered to age-matched epDevAtlas templates and annotations.
DOI: 10.6084/m9.figshare.29646407
title: Dynamic Clinical Trial Success Rates for Drugs in the 21st Century

description: Clinical trial success rates for drugs in the 21st century
DOI: 10.6084/m9.figshare.29646407.v1
title: Dynamic Clinical Trial Success Rates for Drugs in the 21st Century

description: Clinical trial success rates for drugs in the 21st century
DOI: 10.15468/dl.dg8cas
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Syzygium cumini"
 ]
}

 The dataset includes 84 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007709-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/iijmax
title: Transport mode preferences in V4 over 2018-2023: database

description: The survey was conducted in national languages using the CATI (Computer-Assisted Telephone Interviewing) technique to examine respondents' preferences in choosing the modes of transport for five categories of key activities (commuting to work or school, work-related travel, daily/small purchases, large purchases, travel related to children's activities, and other regular activities such as hobbies or religious purposes) in the Czech Republic, Poland, Slovakia, and in Hungary. Several questions explored respondents' attitudes towards transport-related statements. The survey was conducted from December 20, 2023, to January 16, 2024. The study considered the population of adults living in V4 countries aged 18-74. The following number of interviews were collected: 1067 interviews from Poland, 513 interviews from the Czech Republic, 534 interviews from Hungary, and 501 interviews from Slovakia. Stratified random sampling was used according to gender, age, professional activity, and domicile. Post-stratification weights were used for the following criteria: age, gender, region, and size of the place of residence. Hence, the obtained research samples are representative of the countries’ inhabitants and allow for conclusions regarding general populations.The description of variables is provided in the file metadata_variables_codes.xlsx.
DOI: 10.15490/fairdomhub.1.datafile.8086.1
title: Quantitative Real Time PCR Data Analysis

description: Analysis to determine fold change in mRNA for selected targets (COX-2, IL1B, IL8, 5-LOX, TLR4, iNOS, TNFa)
DOI: 10.6084/m9.figshare.24958221
title: Energy flows reveal declining ecosystem functions by animals across Africa

description: This data is associated with the paper "Energy flows reveal declining ecosystem functions by animals across Africa". The energetics analysis of sub-Saharan African birds and mammals was calculated in R using a the R script Loft.Energetics.2407017.R. The original data in the analysis come from a number of publicly available datasets. To ease code reproducibility, all the input data used in the analysis (which in some cases have been cleaned or filtered) are also uploaded here. The script in its entirety takes ~72 hours to run on a reasonably powerful laptop. To save the user time, some computationally intensive intermediate data products are provided in these files, although each of these can also be produced by running the script in its entirety. Further information on code structure is provided in the annotated script itself. Any questions and reasonable requests for additional data products should be directed to the corresponding author at ty.loft@chch.ox.ac.uk. Below we list the annotated contents of this folder.
DOI: 10.6084/m9.figshare.24958221.v1
title: Energy flows reveal declining ecosystem functions by animals across Africa

description: This data is associated with the paper "Energy flows reveal declining ecosystem functions by animals across Africa". The energetics analysis of sub-Saharan African birds and mammals was calculated in R using a the R script Loft.Energetics.2407017.R. The original data in the analysis come from a number of publicly available datasets. To ease code reproducibility, all the input data used in the analysis (which in some cases have been cleaned or filtered) are also uploaded here. The script in its entirety takes ~72 hours to run on a reasonably powerful laptop. To save the user time, some computationally intensive intermediate data products are provided in these files, although each of these can also be produced by running the script in its entirety. Further information on code structure is provided in the annotated script itself. Any questions and reasonable requests for additional data products should be directed to the corresponding author at ty.loft@chch.ox.ac.uk. Below we list the annotated contents of this folder.
DOI: 10.6084/m9.figshare.29234984
title: Structural characterization of atrial natriuretic peptide amyloid fibrils from patients with atrial fibrillation

description: Post-process maps, half-maps, and related models of the two polymorphs (PolA and PolB) identified in left atrial appendage of atrial fibrillation patient.
DOI: 10.6084/m9.figshare.29234984.v1
title: Structural characterization of atrial natriuretic peptide amyloid fibrils from patients with atrial fibrillation

description: Post-process maps, half-maps, and related models of the two polymorphs (PolA and PolB) identified in left atrial appendage of atrial fibrillation patient.