cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29043925
title: Carbon prices on the rise? Shedding light on the emerging second EU Emissions Trading System (EU ETS 2)

description: As of 2027, the EU will implement a second Emission Trading System (EU ETS 2) to cap emissions in buildings, road transport and small industries not covered by the already existing European Emissions Trading System. Substantial uncertainty remains regarding potential price trajectories and their underlying drivers. In light of this, we explore EU ETS 2 price paths using the energy system model PRIMES. We focus on the effect of complementary efficiency policies (EPs), as earlier research suggests they could have a profound impact. Indeed, analyzing three scenarios with different EPs stringency, we find that they make EU ETS 2 prices vary between 71 EUR/tCO<sub>2</sub> and 261 EUR/tCO<sub>2</sub> in 2030. Despite different instruments driving emission abatement, comparable emission reductions at the EU level (−41%) are achieved in all three scenarios. Energy efficiency policies at both EU and national levels are expected to significantly impact EU ETS 2 price levelsThe more stringent energy efficiency policies are, the lower the EU ETS 2 priceModeled EU ETS 2 prices lie in the range of 71–261 EUR/tCO<sub>2</sub>, depending on the stringency of complementary energy efficiency policies assumed in scenariosFundamentally modeled EU ETS 2 prices point to the possibility of price stability mechanisms of EU ETS 2 being triggered Energy efficiency policies at both EU and national levels are expected to significantly impact EU ETS 2 price levels The more stringent energy efficiency policies are, the lower the EU ETS 2 price Modeled EU ETS 2 prices lie in the range of 71–261 EUR/tCO<sub>2</sub>, depending on the stringency of complementary energy efficiency policies assumed in scenarios Fundamentally modeled EU ETS 2 prices point to the possibility of price stability mechanisms of EU ETS 2 being triggered
DOI: 10.6084/m9.figshare.29043925.v1
title: Carbon prices on the rise? Shedding light on the emerging second EU Emissions Trading System (EU ETS 2)

description: As of 2027, the EU will implement a second Emission Trading System (EU ETS 2) to cap emissions in buildings, road transport and small industries not covered by the already existing European Emissions Trading System. Substantial uncertainty remains regarding potential price trajectories and their underlying drivers. In light of this, we explore EU ETS 2 price paths using the energy system model PRIMES. We focus on the effect of complementary efficiency policies (EPs), as earlier research suggests they could have a profound impact. Indeed, analyzing three scenarios with different EPs stringency, we find that they make EU ETS 2 prices vary between 71 EUR/tCO<sub>2</sub> and 261 EUR/tCO<sub>2</sub> in 2030. Despite different instruments driving emission abatement, comparable emission reductions at the EU level (−41%) are achieved in all three scenarios. Energy efficiency policies at both EU and national levels are expected to significantly impact EU ETS 2 price levelsThe more stringent energy efficiency policies are, the lower the EU ETS 2 priceModeled EU ETS 2 prices lie in the range of 71–261 EUR/tCO<sub>2</sub>, depending on the stringency of complementary energy efficiency policies assumed in scenariosFundamentally modeled EU ETS 2 prices point to the possibility of price stability mechanisms of EU ETS 2 being triggered Energy efficiency policies at both EU and national levels are expected to significantly impact EU ETS 2 price levels The more stringent energy efficiency policies are, the lower the EU ETS 2 price Modeled EU ETS 2 prices lie in the range of 71–261 EUR/tCO<sub>2</sub>, depending on the stringency of complementary energy efficiency policies assumed in scenarios Fundamentally modeled EU ETS 2 prices point to the possibility of price stability mechanisms of EU ETS 2 being triggered
DOI: 10.15468/dl.aje7n4
title: Occurrence Download

description: A dataset containing 1142085 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Pakistan"
 ]
}

 The dataset includes 1142085 records from 1203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011387-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57996/cran.ceres-2733
title: Dataset: Environmental impacts of low and high order detonations in water

description: Raw data for physical and chemical analysis of TNT pipe bomb
description: The clearance of dumped munitions often relies on Low Order (LO) and High Order (HO) detonation techniques, both of which pose significant risks to aquatic ecosystems. LO detonation leaves behind substantial explosive residues, whereas HO detonation generates intense shock waves and extensive fragmentation. This study examines the environmental impact of these detonation methods, including partial detonation, under semi-controlled conditions using six 1000-litre IBC tanks. Partial detonation represents an incomplete LO event, leaving exposed explosive material in the water. Experimental results showed that LO detonations left an average of 8.7 mg/L of explosive residue, significantly higher than the 1.2 mg/L observed for HO. Fragmentation analysis revealed that HO produced more than twice the number of fragments compared to LO, increasing the potential for physical damage. By integrating these findings with modelling, we estimated fragment stopping distances and the spatial extent of explosive contamination. These insights inform the development of mitigation zones to minimise both chemical and physical environmental impacts, particularly in the context of World War-era munitions clearance.
DOI: 10.15468/dl.z3b2aj
title: Occurrence Download

description: A dataset listing the 4546 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Azorean Biodiversity Portal"
 ]
}

 The dataset's 4546 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011457-260208012135463/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.30234943
title: Workslop and the Optimization Trap: AI, Vapor Work, and the Authenticity Gap

description: This working paper examines “workslop,” a term used to describe AI-assisted output that appears polished while lacking substantive advancement. Drawing on cultural and organizational analysis, the paper situates workslop within the Optimization Trap, where efficiency gains and metric pressure reshape how value and authenticity are perceived.The analysis frames vapor work and the authenticity gap as signals of broader shifts in how meaning, effort, and credibility are mediated in contemporary knowledge work. The paper is presented as a descriptive cultural analysis rather than a prescriptive or evaluative claim.
DOI: 10.6084/m9.figshare.30234943.v2
title: Workslop and the Optimization Trap: AI, Vapor Work, and the Authenticity Gap

description: This working paper examines “workslop,” a term used to describe AI-assisted output that appears polished while lacking substantive advancement. Drawing on cultural and organizational analysis, the paper situates workslop within the Optimization Trap, where efficiency gains and metric pressure reshape how value and authenticity are perceived.The analysis frames vapor work and the authenticity gap as signals of broader shifts in how meaning, effort, and credibility are mediated in contemporary knowledge work. The paper is presented as a descriptive cultural analysis rather than a prescriptive or evaluative claim.
DOI: 10.34740/kaggle/dsv/14818305
title: WikiFirst
DOI: 10.15468/dl.q8qdmp
title: Occurrence Download

description: A dataset containing 11526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Smilax china",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 11526 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011465-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.31123642
title: Supplementary Number 1

description: Containing Data related to descriptions in the main text and Figures S1-S4.
DOI: 10.60893/figshare.apl.31123642.v1
title: Supplementary Number 1

description: Containing Data related to descriptions in the main text and Figures S1-S4.
DOI: 10.6084/m9.figshare.31324567
title: Data to Chem Eng J 510 (2025) 161758

description: This work was published in Chem Eng J 510 (2025) 161758 and was financially supported by the National Science Centre (NCN), Poland, under grant no. 2023/51/D/ST8/00206.
DOI: 10.6084/m9.figshare.31324567.v1
title: Data to Chem Eng J 510 (2025) 161758

description: This work was published in Chem Eng J 510 (2025) 161758 and was financially supported by the National Science Centre (NCN), Poland, under grant no. 2023/51/D/ST8/00206.
DOI: 10.7910/dvn/r0z3nd
title: Replication data for: Pastoral conflicts and (dis)trust: Evidence from Nigeria using an instrumental variable approach.

description: The data and do-files underlying the regression results have been provided.
description: Even though the incidence of conflicts between Fulani nomadic pastoralists and sedentary communities in Nigeria has risen significantly in the last decade, there is a notable lack of research examining how these conflicts influence distrust towards members of the Fulani ethnic group and Muslims. Using novel survey data from Kaduna, the state with the third-highest incidence of pastoral conflict in Nigeria, this study addresses that gap. Regression analyses show that exposure to pastoral conflict increases distrust towards the Fulani and Muslims. This suggests a contagion effect whereby the Fulani are conflated with the broader Muslim population, due to the Muslim identity of nomadic Fulani pastoralists. Disaggregating the data by religious affiliation reveals a pattern: conflict exposure raises distrust only among Muslim respondents, while effects are statistically insignificant among Christians. Among Muslims, the positive effect suggests that pastoral conflict erodes in-group cohesion. The null effect among Christians may reflect the way in which pastoral conflicts align with pre-existing religious fault lines.
description: STATA, 17
DOI: 10.17026/dans-xyu-dk2x
title: Archeologisch Bureauonderzoek Gommerwijk West, gemeente Enkhuizen

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
description: Date: 18-08-2006 (aanvang onderzoek)
DOI: 10.5281/zenodo.18621364
title: Why a Cat? Narrative Corpus, Analysis Pipeline, and Metrics (Memory ON/OFF)

description: The deposit provides a controlled corpus of twenty short narratives co-produced with a large language model under two continuity regimes: Memory ON (continuity enabled) and Memory OFF (continuity disabled). The repository includes the original DOCX narratives (why_a_cat_ON01 – why_a_cat_ON10; why_a_cat_OFF01 – why_a_cat_OFF10), a deterministic Python analysis pipeline, and the derived datasets used to produce Tables 1–6 in the manuscript. Each narrative was generated in a fresh chat session, with the study prompt as the first and only task-specific message, ensuring no local conversational context. Re-running the provided pipeline reproduces all reported numerical results, given the same inputs and package versions. See README for file nomenclature, execution instructions, and outputs.
DOI: 10.5281/zenodo.18621365
title: Why a Cat? Narrative Corpus, Analysis Pipeline, and Metrics (Memory ON/OFF)

description: The deposit provides a controlled corpus of twenty short narratives co-produced with a large language model under two continuity regimes: Memory ON (continuity enabled) and Memory OFF (continuity disabled). The repository includes the original DOCX narratives (why_a_cat_ON01 – why_a_cat_ON10; why_a_cat_OFF01 – why_a_cat_OFF10), a deterministic Python analysis pipeline, and the derived datasets used to produce Tables 1–6 in the manuscript. Each narrative was generated in a fresh chat session, with the study prompt as the first and only task-specific message, ensuring no local conversational context. Re-running the provided pipeline reproduces all reported numerical results, given the same inputs and package versions. See README for file nomenclature, execution instructions, and outputs.
DOI: 10.5281/zenodo.18621109
title: Electrically stimulated hiPSC-derived astrocytes - calcium imaging videos, raw and analysed fluorescence intensity values

description: Deep brain stimulation (DBS) is an established neuromodulation technique used for various conditions. While it offers symptom relief, the mechanisms underlining its therapeutic effects remain unclear, affecting efficacy and side effects. A key challenge in DBS research is isolating neuron-astrocyte interactions in a complex in vivo environment. To address this, we developed tools to study the effects of DBS on astrocytic calcium dynamics in vitro. We employed human induced pluripotent stem cell (hiPSC)-derived astrocytes cultured on custom glass micro-electrode arrays (MEAs) together with a semi-automated analysis pipeline to extract key calcium dynamics parameters of large data sets. Here, we share calcium imaging videos of hiPSC-derived astrocytes stimulated at 10Hz, 130Hz and stimulated with one electrical pulse. Additionally, we provide the raw fluorescence intensity values of Fluo-4 Calcium indicator in each identified cell and the subsequent data analysed using our custom-made Fluorescence analyser script.

Data analyses were conducted using FIJI ImageJ software (RRID:SCR_002285) and a custom-made Python script we called Fluorescence_analyser. Fluorescence signals (‘F’) from individual astrocytes were extracted by identifying cell bodies through automatic region of interest (ROI) segmentation based on fluorescence intensity, size, and shape using FIJI's ‘Analyze Particles’ function. Fluorescence intensity of each ROI was measured in each video frame using the FIJI ImageJ plugin Time Series Analyzer (RRID:SCR_014269).

Analysis of fluorescence intensity changes over time was performed using our custom-made Fluorescence_analyser script. It automates the acquisition and post-analysis of fluorescence data in a python-based integrated development environment. The results are visualized through various graphs and all calculated data is documented in an Excel file for further use. This automatization enables manual analysis compressing them into a single execution. 

Fluorescence baselines (‘F0’) are computed for each ROI from a 90 second sliding window. Variations in fluorescence intensity were quantified as ΔF/F0, and key parameters such as amplitude, duration, rise slope, and decay slope are calculated for detected significant fluorescence events. Fluorescence_analyser is freely available to download from https://gitedu.hesge.ch/tissue-engineering-lab/estime_fluorescence_analyser and was tested and used on Spyder 6 (https://github.com/spyder-ide/spyder).
DOI: 10.5281/zenodo.18621110
title: Electrically stimulated hiPSC-derived astrocytes - calcium imaging videos, raw and analysed fluorescence intensity values

description: Deep brain stimulation (DBS) is an established neuromodulation technique used for various conditions. While it offers symptom relief, the mechanisms underlining its therapeutic effects remain unclear, affecting efficacy and side effects. A key challenge in DBS research is isolating neuron-astrocyte interactions in a complex in vivo environment. To address this, we developed tools to study the effects of DBS on astrocytic calcium dynamics in vitro. We employed human induced pluripotent stem cell (hiPSC)-derived astrocytes cultured on custom glass micro-electrode arrays (MEAs) together with a semi-automated analysis pipeline to extract key calcium dynamics parameters of large data sets. Here, we share calcium imaging videos of hiPSC-derived astrocytes stimulated at 10Hz, 130Hz and stimulated with one electrical pulse. Additionally, we provide the raw fluorescence intensity values of Fluo-4 Calcium indicator in each identified cell and the subsequent data analysed using our custom-made Fluorescence analyser script.

Data analyses were conducted using FIJI ImageJ software (RRID:SCR_002285) and a custom-made Python script we called Fluorescence_analyser. Fluorescence signals (‘F’) from individual astrocytes were extracted by identifying cell bodies through automatic region of interest (ROI) segmentation based on fluorescence intensity, size, and shape using FIJI's ‘Analyze Particles’ function. Fluorescence intensity of each ROI was measured in each video frame using the FIJI ImageJ plugin Time Series Analyzer (RRID:SCR_014269).

Analysis of fluorescence intensity changes over time was performed using our custom-made Fluorescence_analyser script. It automates the acquisition and post-analysis of fluorescence data in a python-based integrated development environment. The results are visualized through various graphs and all calculated data is documented in an Excel file for further use. This automatization enables manual analysis compressing them into a single execution. 

Fluorescence baselines (‘F0’) are computed for each ROI from a 90 second sliding window. Variations in fluorescence intensity were quantified as ΔF/F0, and key parameters such as amplitude, duration, rise slope, and decay slope are calculated for detected significant fluorescence events. Fluorescence_analyser is freely available to download from https://gitedu.hesge.ch/tissue-engineering-lab/estime_fluorescence_analyser and was tested and used on Spyder 6 (https://github.com/spyder-ide/spyder).
DOI: 10.15468/dl.stx5mx
title: Occurrence Download

description: A dataset containing 1652342 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Azorean Biodiversity Portal"
 ]
}

 The dataset includes 1652342 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011456-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1139292
title: Images from an Archaeological Evaluation at Kintore Substation, Kintore, Aberdeenshire, July 2025

description: This collection consists of images from a trial trench evaluation by Ecology Solutions. Work occurred at land to the east of Kintore Substation, Kintore, Aberdeenshire in July 2025. Five 50m by 2m trenches were excavated. No deposits, features, or finds of archaeological interest were encountered. The relatively shallow depth of subsoil deposits indicate that past activity in the site has been limited and has likely been primarily agricultural.
DOI: 10.48436/90jhd-ghm10
title: Nano-scale mechanistic model for reactive hybrid solder joints - original data

description: This data set was created in the frame of FWF project P34894 - Hybrid solder joins, new promising soldering strategy, Grant DOI 10.55776/P34894

This file contains the original reseach data presented in the manuscript "Nano-scale mechanistic model for microstructural reliability in reactive hybrid solder joints" doi:10.1016/j.matchar.2024.114247 and were used to generate charts the figures of this research.Data created by / Authors: Farzad Khodabakhshi, Irina Wodak, Andriy Yakymovych, Shabnam Taheriniya, Saba Khademorezaian, Gerhard Wilde, Golta Khatibi,The materials are provided to ensure transparency, reproducibility, and ease of re‑analysis.

Contents:TiFF, JPG, PNG images of High‑resolution microscopy or imaging data used as the basis for figures and charts. files/ Images are named according to sample identifiers to allow straightforward matching between raw data and figure components. Date of generation is included in respective images.Source files (XLSX) used to generate quantitative graphs and statistical visualizations.Supplementary and additional datasets that support the figures.

Notes: Main Folder names correspond to figure numbers, subfolder/ file names correspond to sample IDs where applicable.Data are provided in their original formats unless otherwise specified in the manuscript.imaging data are provided in their original formats without post‑processing.The experimentals details concenring the images are included in the manuscript.Figures as published in the manuscript are included as pdf as additional information.

For reading dm3 /dm4 file pls see: https://github.com/ovidiopr/DM3Viewerorhttps://www.mathworks.com/matlabcentral/fileexchange/43005-read-dm3-and-dm4-image-files
DOI: 10.48436/e3pp4-8sk51
title: Nano-scale mechanistic model for reactive hybrid solder joints - original data

description: This data set was created in the frame of FWF project P34894 - Hybrid solder joins, new promising soldering strategy, Grant DOI 10.55776/P34894

This file contains the original reseach data presented in the manuscript "Nano-scale mechanistic model for microstructural reliability in reactive hybrid solder joints" doi:10.1016/j.matchar.2024.114247 and were used to generate charts the figures of this research.Data created by / Authors: Farzad Khodabakhshi, Irina Wodak, Andriy Yakymovych, Shabnam Taheriniya, Saba Khademorezaian, Gerhard Wilde, Golta Khatibi,The materials are provided to ensure transparency, reproducibility, and ease of re‑analysis.

Contents:TiFF, JPG, PNG images of High‑resolution microscopy or imaging data used as the basis for figures and charts. files/ Images are named according to sample identifiers to allow straightforward matching between raw data and figure components. Date of generation is included in respective images.Source files (XLSX) used to generate quantitative graphs and statistical visualizations.Supplementary and additional datasets that support the figures.

Notes: Main Folder names correspond to figure numbers, subfolder/ file names correspond to sample IDs where applicable.Data are provided in their original formats unless otherwise specified in the manuscript.imaging data are provided in their original formats without post‑processing.The experimentals details concenring the images are included in the manuscript.Figures as published in the manuscript are included as pdf as additional information.

For reading dm3 /dm4 file pls see: https://github.com/ovidiopr/DM3Viewerorhttps://www.mathworks.com/matlabcentral/fileexchange/43005-read-dm3-and-dm4-image-files
DOI: 10.15468/dl.ytfym7
title: Occurrence Download

description: A dataset containing 2732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrastigma obtectum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2732 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011466-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/nwy7ky/ssvnbg
title: FIGURE 2 RAW DATA.tab
DOI: 10.13130/rd_unimi/nwy7ky/xzdbns
title: Figure 3 RAW DATA.tab
DOI: 10.13130/rd_unimi/nwy7ky/ryte6q
title: Figure 1 RAW DATA.tab
DOI: 10.13130/rd_unimi/nwy7ky
title: Replication Data for: Chronic administration of metformin exerts cytostatic and cytotoxic effects via the PP2A-GSK3β-MCL-1 pathway by inhibiting the tmCLIC1 membrane protein in glioblastoma-initiating cells

description: Excel file for main Figures of the paper