cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4bt4jwjdwm
title: Storm Event Water Quality in an Industrial Cutaway Peatland, Ireland

description: This dataset was collected to test the hypothesis that effluents from degraded peatland catchments are highly dynamic and pose a year-round risk to surface waters. To investigate this, we measured flow, temperature, pH, electrical conductivity, nutrients, SUVA254 (carbon aromaticity), and ions at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities.

The storm events were classified based on peak flow, with six events having peak flows &lt;15 L/s and eight events exceeding 30 L/s. These events occurred across all four seasons (six in spring, three in summer, three in autumn, and two in winter) and resulted in datasets with varying sample sizes per event (ranging from 6 to 23 samples per event).

Our findings support the hypothesis, revealing high temporal variability in water quality between storm events. Regression models and correlation analyses indicate that climatic factors such as rainfall (as a proxy for flow) and temperature were key drivers of this variability. These data provide valuable insights for understanding the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream waters.
DOI: 10.17632/4bt4jwjdwm.2
title: Storm Event Water Quality in an Industrial Cutaway Peatland, Ireland

description: This dataset was collected to test the hypothesis that effluents from degraded peatland catchments are highly dynamic and pose a year-round risk to surface waters. To investigate this, we measured flow, temperature, pH, electrical conductivity, nutrients, SUVA254 (carbon aromaticity), and ions at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities.

The storm events were classified based on peak flow, with six events having peak flows &lt;15 L/s and eight events exceeding 30 L/s. These events occurred across all four seasons (six in spring, three in summer, three in autumn, and two in winter) and resulted in datasets with varying sample sizes per event (ranging from 6 to 23 samples per event).

Our findings support the hypothesis, revealing high temporal variability in water quality between storm events. Regression models and correlation analyses indicate that climatic factors such as rainfall (as a proxy for flow) and temperature were key drivers of this variability. These data provide valuable insights for understanding the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream waters.
DOI: 10.17632/rghjtw9p55
title: Storm Event Flow Data from an Industrial Cutaway Peatland, Ireland

description: This flow dataset was collected alongside water quality data to test the hypothesis that effluents from degraded peatland catchments exhibit high temporal variability and pose a year-round risk to surface waters. Flow was measured at high resolution (1–5-minute intervals) at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities. This dataset provides insights into flow dynamics, including the rise, peak, and recession phases of storm events, and their relationships with water quality.

The storm events were classified based on peak flow, with six events having peak flows &lt;15 L/s and eight events exceeding 30 L/s.

Our findings support the hypothesis, revealing strong temporal variability in water quality between storm events, partly influenced by flow intensity. Regression models and correlation analyses identified rainfall (used as a proxy for flow) as a key driver of this variability. These data contribute to a better understanding of the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream water quality.
DOI: 10.6084/m9.figshare.30913640
title: Supplmentary materials: Long-term efficacy and safety of lorlatinib versus alectinib in anaplastic lymphoma kinase-positive advanced/metastatic non-small cell lung cancer: matching-adjusted indirect comparison

description: <b>These are peer-reviewed supplementary materials for the article</b><b> </b><b>'</b><b>Long-term efficacy and safety of lorlatinib versus alectinib in anaplastic lymphoma kinase-positive advanced/metastatic non-small cell lung cancer: matching-adjusted indirect comparison</b><b>'</b><b> </b><b>published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Ratio/Difference in Progression-free Survival Probabilities at Years 1–5</b><b>References</b><b>Aim:</b> Lorlatinib demonstrated superior efficacy over alectinib as a first-line treatment for ALK-positive (ALK+) advanced/metastatic non-small cell lung cancer in a matching-adjusted indirect comparison (MAIC) using 3-year follow-up data from CROWN (lorlatinib). This study aimed to update these findings using the latest extended 5-year follow-up data from CROWN. <b>Materials & methods:</b> We conducted an anchored MAIC using data from CROWN and ALEX (alectinib). Patients were matched based on prespecified effect modifiers. We compared progression-free survival (PFS) using hazard ratios (HRs), restricted mean survival time and PFS probabilities and adverse events (AEs) using rate ratios and rate differences. PFS was analyzed in subgroups with and without baseline brain/CNS metastases. <b>Results: </b>Lorlatinib demonstrated superior PFS over alectinib, reducing the risk of progression or death by 45% (HR: 0.55, 95% CI: 0.34, 0.88). Lorlatinib extended restricted mean survival time by 8.5 months up to 4 years and 11.2 months up to 5.5 years, with generally higher annual PFS probabilities across years 1–5. While lorlatinib was associated with a higher incidence of grade ≥3 AEs, the rates of AEs leading to treatment discontinuation, dose interruption and dose reduction were similar between the treatments. In patients with baseline brain/CNS metastases, lorlatinib showed a numerical PFS benefit, with significant improvement at year 1. In patients without brain/CNS metastases, lorlatinib significantly improved PFS, with significant increases at years 2–4. <b>Conclusion: </b>This extended analysis reaffirms lorlatinib’s superior efficacy over alectinib in prolonging PFS. Despite the higher grade ≥3 AE incidence, similar rates of dose reduction, interruption, or discontinuation suggest these AEs are manageable. Lorlatinib remains a firstline treatment option for ALK+ metastatic non-small cell lung cancer, offering meaningful benefits to appropriate patients.
DOI: 10.6084/m9.figshare.30913640.v1
title: Supplmentary materials: Long-term efficacy and safety of lorlatinib versus alectinib in anaplastic lymphoma kinase-positive advanced/metastatic non-small cell lung cancer: matching-adjusted indirect comparison

description: <b>These are peer-reviewed supplementary materials for the article</b><b> </b><b>'</b><b>Long-term efficacy and safety of lorlatinib versus alectinib in anaplastic lymphoma kinase-positive advanced/metastatic non-small cell lung cancer: matching-adjusted indirect comparison</b><b>'</b><b> </b><b>published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Ratio/Difference in Progression-free Survival Probabilities at Years 1–5</b><b>References</b><b>Aim:</b> Lorlatinib demonstrated superior efficacy over alectinib as a first-line treatment for ALK-positive (ALK+) advanced/metastatic non-small cell lung cancer in a matching-adjusted indirect comparison (MAIC) using 3-year follow-up data from CROWN (lorlatinib). This study aimed to update these findings using the latest extended 5-year follow-up data from CROWN. <b>Materials & methods:</b> We conducted an anchored MAIC using data from CROWN and ALEX (alectinib). Patients were matched based on prespecified effect modifiers. We compared progression-free survival (PFS) using hazard ratios (HRs), restricted mean survival time and PFS probabilities and adverse events (AEs) using rate ratios and rate differences. PFS was analyzed in subgroups with and without baseline brain/CNS metastases. <b>Results: </b>Lorlatinib demonstrated superior PFS over alectinib, reducing the risk of progression or death by 45% (HR: 0.55, 95% CI: 0.34, 0.88). Lorlatinib extended restricted mean survival time by 8.5 months up to 4 years and 11.2 months up to 5.5 years, with generally higher annual PFS probabilities across years 1–5. While lorlatinib was associated with a higher incidence of grade ≥3 AEs, the rates of AEs leading to treatment discontinuation, dose interruption and dose reduction were similar between the treatments. In patients with baseline brain/CNS metastases, lorlatinib showed a numerical PFS benefit, with significant improvement at year 1. In patients without brain/CNS metastases, lorlatinib significantly improved PFS, with significant increases at years 2–4. <b>Conclusion: </b>This extended analysis reaffirms lorlatinib’s superior efficacy over alectinib in prolonging PFS. Despite the higher grade ≥3 AE incidence, similar rates of dose reduction, interruption, or discontinuation suggest these AEs are manageable. Lorlatinib remains a firstline treatment option for ALK+ metastatic non-small cell lung cancer, offering meaningful benefits to appropriate patients.
DOI: 10.17632/rghjtw9p55.2
title: Storm Event Flow Data from an Industrial Cutaway Peatland, Ireland

description: This flow dataset was collected alongside water quality data to test the hypothesis that effluents from degraded peatland catchments exhibit high temporal variability and pose a year-round risk to surface waters. Flow was measured at high resolution (1–5-minute intervals) at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities. This dataset provides insights into flow dynamics, including the rise, peak, and recession phases of storm events, and their relationships with water quality.

The storm events were classified based on peak flow, with six events having peak flows &lt;15 L/s and eight events exceeding 30 L/s.

Our findings support the hypothesis, revealing strong temporal variability in water quality between storm events, partly influenced by flow intensity. Regression models and correlation analyses identified rainfall (used as a proxy for flow) as a key driver of this variability. These data contribute to a better understanding of the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream water quality.
DOI: 10.17632/wrt4dk2w6m
title: Inlet and Outlet Water Quality of a Treatment Pond in an Extracted Peatland Catchment, Ireland

description: This dataset was collected alongside other on-site water quality datasets to test the hypothesis that effluents from degraded peatland catchments are highly dynamic and pose a year-round risk to surface waters. Additionally, this dataset was used to evaluate the water treatment performance of a pond excavated at the edge of the catchment.

To investigate this, we measured pH, electrical conductivity, nutrients, SUVA254 (carbon aromaticity), ions, biochemical oxygen demand (BOD₅), and turbidity at the inlet and outlet of the pond during two grab sampling campaigns: one conducted from March to October 2021, and another from September 2022 to April 2023.

Our findings support the hypothesis, revealing high temporal variability in water quality. Additionally, we found that the pond had low or negligible effectiveness in treating soluble components. This dataset provides valuable insights into the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream waters, as well as the effectiveness of treatment ponds as mitigation measures.
DOI: 10.17632/wrt4dk2w6m.2
title: Inlet and Outlet Water Quality of a Treatment Pond in an Extracted Peatland Catchment, Ireland

description: This dataset was collected alongside other on-site water quality datasets to test the hypothesis that effluents from degraded peatland catchments are highly dynamic and pose a year-round risk to surface waters. Additionally, this dataset was used to evaluate the water treatment performance of a pond excavated at the edge of the catchment.

To investigate this, we measured pH, electrical conductivity, nutrients, SUVA254 (carbon aromaticity), ions, biochemical oxygen demand (BOD₅), and turbidity at the inlet and outlet of the pond during two grab sampling campaigns: one conducted from March to October 2021, and another from September 2022 to April 2023.

Our findings support the hypothesis, revealing high temporal variability in water quality. Additionally, we found that the pond had low or negligible effectiveness in treating soluble components. This dataset provides valuable insights into the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream waters, as well as the effectiveness of treatment ponds as mitigation measures.
DOI: 10.17632/32dm7dgfjw
title: Fine roots and soil

description: This dataset contains fine-root traits and associated soil properties collected from pure and mixed plantations on the Loess Plateau, China. The study includes monocultures of Robinia pseudoacacia, Populus simonii, and Hippophae rhamnoides, as well as mixed plantations of R. pseudoacacia with P. simonii or H. rhamnoides under different mixing ratios. Fine-root biomass and morphological traits were measured across multiple soil depth intervals to capture spatial variation in belowground structure. Corresponding soil variables, including soil organic carbon, total nitrogen, soil water content, and soil bulk density, were measured at the same sampling locations. The dataset supports analyses of species-specific root strategies, root–soil interactions, and scale-dependent patterns of belowground complementarity in arid and semi-arid plantation ecosystems.
DOI: 10.17632/32dm7dgfjw.1
title: Fine roots and soil

description: This dataset contains fine-root traits and associated soil properties collected from pure and mixed plantations on the Loess Plateau, China. The study includes monocultures of Robinia pseudoacacia, Populus simonii, and Hippophae rhamnoides, as well as mixed plantations of R. pseudoacacia with P. simonii or H. rhamnoides under different mixing ratios. Fine-root biomass and morphological traits were measured across multiple soil depth intervals to capture spatial variation in belowground structure. Corresponding soil variables, including soil organic carbon, total nitrogen, soil water content, and soil bulk density, were measured at the same sampling locations. The dataset supports analyses of species-specific root strategies, root–soil interactions, and scale-dependent patterns of belowground complementarity in arid and semi-arid plantation ecosystems.
DOI: 10.17632/rsrsw8h7mv
title: Mechanosorptive Creep of Norway Spruce on the Tissue Scale Perpendicular to Grain

description: This dataset contains experimental results from our study (Ferrara and Wittel, 2025b), in which mechanosorptive creep tests were performed on Norway spruce tissue slices in the transverse anatomical directions—radial (R) and tangential (T)—under cyclic relative humidity (RH) between 30% and 90%. Samples were cut in the orientations {RL, RT, TR}, where the first letter denotes the longitudinal dimension and the second the transverse width, all comprising alternating bands of earlywood (EW) and latewood (LW). Tests were carried out at different loading degrees (LD): {RL, RT} at 30% and 50%, and {TR} at 40% of the respective tensile strength. Reference tensile strengths were taken from our earlier work (Ferrara and Wittel, 2024).

The dataset is organized by sample type, with each file containing multiple sheets corresponding to individual experiments. Each sheet reports detailed information about the sample (e.g., dimensions, loading degree, ...), together with time, moisture content, creep strain, and creep compliance measurements. In addition, two CSV files are provided: the first contains mean elastic compliance values from our earlier work (Ferrara and Wittel, 2024), enabling analyses of how creep compliance scales with elastic compliance; the second contains element compliances of the Kelvin–Voigt model describing the mean viscoelastic compliances from our previous work (Ferrara and Wittel, 2025a), which serve as input for calculating the viscoelastic strain component. Finally, one NPZ file includes the results of Dynamic Vapor Sorption (DVS) tests, reproducing the RH profile applied in the mechanosorptive experiments.

A. Ferrara and F.K. Wittel "Mechanosoprtive Creep of Norway Spruce on the Tissue Scale Perpendicular to Grain", Holzforschung (2025b)
A. Ferrara and F.K. Wittel "Tensile Creep of Norway Spruce on the Tissue Scale", Mechanics of Time-Dependent Materials (2025a) 
A. Ferrara and F.K. Wittel "Micro-mechanical tests on tissue slices of Norway spruce: tensile and shear performance", Holzforschung (2024)
DOI: 10.17632/rsrsw8h7mv.2
title: Mechanosorptive Creep of Norway Spruce on the Tissue Scale Perpendicular to Grain

description: This dataset contains experimental results from our study (Ferrara and Wittel, 2025b), in which mechanosorptive creep tests were performed on Norway spruce tissue slices in the transverse anatomical directions—radial (R) and tangential (T)—under cyclic relative humidity (RH) between 30% and 90%. Samples were cut in the orientations {RL, RT, TR}, where the first letter denotes the longitudinal dimension and the second the transverse width, all comprising alternating bands of earlywood (EW) and latewood (LW). Tests were carried out at different loading degrees (LD): {RL, RT} at 30% and 50%, and {TR} at 40% of the respective tensile strength. Reference tensile strengths were taken from our earlier work (Ferrara and Wittel, 2024).

The dataset is organized by sample type, with each file containing multiple sheets corresponding to individual experiments. Each sheet reports detailed information about the sample (e.g., dimensions, loading degree, ...), together with time, moisture content, creep strain, and creep compliance measurements. In addition, two CSV files are provided: the first contains mean elastic compliance values from our earlier work (Ferrara and Wittel, 2024), enabling analyses of how creep compliance scales with elastic compliance; the second contains element compliances of the Kelvin–Voigt model describing the mean viscoelastic compliances from our previous work (Ferrara and Wittel, 2025a), which serve as input for calculating the viscoelastic strain component. Finally, one NPZ file includes the results of Dynamic Vapor Sorption (DVS) tests, reproducing the RH profile applied in the mechanosorptive experiments.

A. Ferrara and F.K. Wittel "Mechanosoprtive Creep of Norway Spruce on the Tissue Scale Perpendicular to Grain", Holzforschung (2025b)
A. Ferrara and F.K. Wittel "Tensile Creep of Norway Spruce on the Tissue Scale", Mechanics of Time-Dependent Materials (2025a) 
A. Ferrara and F.K. Wittel "Micro-mechanical tests on tissue slices of Norway spruce: tensile and shear performance", Holzforschung (2024)
DOI: 10.25740/gh906mk5473
title: School Segregation Data (Version 2.0)

description: Abstract with Data Use Agreement (note: the following bullet points are all in once section): 

School Segregation Data Version 2.0 was published in November 2025. The archive includes school segregation data for the nation, states, metropolitan areas, commuting zones, counties, congressional districts, and administrative and geographic school districts from 1991 to 2023. The archive also includes a Geographic Crosswalk linking schools to these geographies and the Longitudinal Imputed School Dataset (LISD) Version 2.0, which provides imputed school-level demographic data. This release updates School Segregation Data Version 1.1, which was created by Sean F. Reardon, Ann Owens, Demetra Kalogrides, Heewon Jang, and Thalia Tom. 

You agree not to use the data sets for commercial advantage, or in the course of for-profit activities. Commercial entities wishing to use this Service should contact Stanford University’s Office of Technology Licensing (info@otlmail.stanford.edu).
You agree that you will not use these data to identify or to otherwise infringe the privacy or confidentiality rights of individuals.

THE DATA SETS ARE PROVIDED “AS IS” AND STANFORD MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED. STANFORD SHALL NOT BE LIABLE FOR ANY CLAIMS OR DAMAGES WITH RESPECT TO ANY LOSS OR OTHER CLAIM BY YOU OR ANY THIRD PARTY ON ACCOUNT OF, OR ARISING FROM THE USE OF THE DATA SETS.

You agree that this Agreement and any dispute arising under it is governed by the laws of the State of California of the United States of America, applicable to agreements negotiated, executed, and performed within California.
You agree to acknowledge the Segregation Tracking Project as the source of these data. In publications, please cite the data as:

Reardon, Sean F., Ann Owens, and Demetra Kalogrides. 2025. School Segregation Data (Version 2.0). The Segregation Tracking Project. http://edopportunity.org/segregation Stanford Digital Repository. Available at https://purl.stanford.edu/gh906mk5473. https://doi.org/10.25740/gh906mk5473. 

Subject to your compliance with the terms and conditions set forth in this Agreement, Stanford grants you a revocable, non-exclusive, non-transferable right to access and make use of the Data Sets.
DOI: 10.17632/jb67p4cr4c
title: data

description: Aims: Emodin, a natural anthraquinone, exerts antitumor effects by increasing reactive oxygen species (ROS) and inducing apoptosis, autophagy, and cell-cycle arrest. However, its potential to induce ferroptosis, a distinct iron-dependent cell death, in hepatocellular carcinoma (HCC) remains unexplored.
Materials and methods: The anti-proliferative effect of Emodin was assessed in human HCC cell lines HepG2 and MHCC97H. Ferroptosis was evaluated following treatment with 40 μM Emodin for 24 h, measuring ROS, lipid peroxidation, glutathione levels, and mitochondrial morphology. Molecular mechanisms were investigated via reverse transcription polymerase chain reaction (RT-qPCR), western blot, and functional rescue experiments. A HepG2 xenograft model (25 and 50 mg/kg Emodin, intraperitoneal.) and immunohistochemistry were used to confirm the findings in vivo.
Key findings: Emodin inhibited HCC cell proliferation and induced ferroptosis, characterized by ROS accumulation, lipid peroxidation, and reduced glutathione levels, mitochondrial membrane potential, and glutathione peroxidase 4 (GPX4) expression. Mechanistically, Emodin upregulated microRNA-4465 (miR-4465), which directly targeted and suppressed the NFE2 like bZIP transcription factor 3 (NFE2L3). This led to inhibition of the NFE2L3/3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR)/GPX4 signaling axis. Overexpression of NFE2L3 rescued cells from Emodin-induced ferroptosis. In the xenograft model, Emodin significantly suppressed tumor growth and downregulated the NFE2L3/HMGCR/GPX4 pathway in tumor tissues.
Significance: Our study demonstrates that Emodin induces ferroptosis through the miR-4465/NFE2L3/HMGCR/GPX4 axis in HCC, revealing NFE2L3's role in ferroptosis and suggesting Emodin as a promising therapeutic candidate.