cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2909/d6938865-05e5-4016-a15c-a09bb898421d
title: Member States' greenhouse gas (GHG) emission projections 2025

description: The Governance of the Energy Union and Climate Action ((EU) 2018/1999) requires Member States to report national projections of anthropogenic GHG emissions. Every two years, it is mandatory for EU Member States to report their GHG projections by gas (or group of gases) and by sector. On non-mandatory years, Member States are to report if there have been significant changes to their data. National projections shall take into consideration any policies and measures adopted at Union level. The reported data are quality checked by the EEA and its European Topic Centre for Climate Change Mitigation and Energy (ETC/CME). The 2025 dataset contains data up to year 2055.
DOI: 10.5517/ccdc.csd.cc2nvv8n
title: CCDC 2468662: Experimental Crystal Structure Determination

description: Related Article: Takaaki Miyazaki, Akio Mishima, Ryuta Ishikawa, Osamu Hayashida|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01705
description: Related Article: Takaaki Miyazaki|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17379843
title: Datasets for "Unraveling eutherian and metatherian divergence through dental evolution"

description: The datasets includes the morphological chracter matrix for phylogenetic analysis, Bayesian undated and tip-dated trees, R scripts for ancestral state reconstruction, and data used for each set of character state reconstruction.
DOI: 10.6084/m9.figshare.30393580
title: Table 6. Mann-Whitney U Test

description: This data was used to determine whether there was a significant difference between two independent groups, namely the control group and the experimental group, based on creative thinking scores.
DOI: 10.6084/m9.figshare.30393580.v2
title: Table 6. Mann-Whitney U Test

description: This data was used to determine whether there was a significant difference between two independent groups, namely the control group and the experimental group, based on creative thinking scores.
DOI: 10.6084/m9.figshare.30393580.v1
title: Table 6. Mann-Whitney U Test

description: This data was used to determine whether there was a significant difference between two independent groups, namely the control group and the experimental group, based on creative thinking scores.
DOI: 10.5281/zenodo.17456734
title: Promoting Decent Work by Enhancing AI Literacy and Implementing AI Adoption for Better Adaptive Performance

description: The rapid advancement of Artificial Intelligence (AI) is reshaping the global workplace, demanding new competencies that integrate technical, cognitive, and adaptive skills. This study aims to examine how AI Literacy influences Adaptive Performance through AI Adoption as a mediating variable. A quantitative explanatory design was employed using Structural Equation Modeling (SEM) with SmartPLS 4, based on data collected from 201 employees and interns across various organizations in Indonesia. The findings reveal that AI Literacy has a significant and positive effect on both AI Adoption and Adaptive Performance. AI Adoption also demonstrates a strong positive impact on Adaptive Performance, confirming a partial mediation effect. The results highlight that employees with higher AI Literacy are more capable of adopting AI tools effectively, which enhances their adaptability in dynamic digital workplaces. These findings emphasize the critical role of AI Literacy in promoting Decent Work and achieving Sustainable Development Goals, particularly Goals 8 (Decent Work and Economic Growth) and 9 (Industry, Innovation, and Infrastructure). Strengthening AI Literacy across the workforce can therefore accelerate AI-enabled transformation and improve organizational resilience in the digital era.
DOI: 10.5281/zenodo.17456735
title: Promoting Decent Work by Enhancing AI Literacy and Implementing AI Adoption for Better Adaptive Performance

description: The rapid advancement of Artificial Intelligence (AI) is reshaping the global workplace, demanding new competencies that integrate technical, cognitive, and adaptive skills. This study aims to examine how AI Literacy influences Adaptive Performance through AI Adoption as a mediating variable. A quantitative explanatory design was employed using Structural Equation Modeling (SEM) with SmartPLS 4, based on data collected from 201 employees and interns across various organizations in Indonesia. The findings reveal that AI Literacy has a significant and positive effect on both AI Adoption and Adaptive Performance. AI Adoption also demonstrates a strong positive impact on Adaptive Performance, confirming a partial mediation effect. The results highlight that employees with higher AI Literacy are more capable of adopting AI tools effectively, which enhances their adaptability in dynamic digital workplaces. These findings emphasize the critical role of AI Literacy in promoting Decent Work and achieving Sustainable Development Goals, particularly Goals 8 (Decent Work and Economic Growth) and 9 (Industry, Innovation, and Infrastructure). Strengthening AI Literacy across the workforce can therefore accelerate AI-enabled transformation and improve organizational resilience in the digital era.
DOI: 10.7910/dvn/engp1o
title: Replication Data for: Divided Government and U.S. Military Interventions Design

description: This replication package contains the data and Stata code to reproduce the empirical findings from the article, "Divided Government and U.S. Military Interventions Design," forthcoming in Security Studies. 
The dataset (`intervention_data.csv`) includes 78 cases of major U.S. military interventions from 1993 to 2022, with variables coding for intervention characteristics (e.g., goal clarity, troop deployment) and key political and contextual factors (e.g., divided government, threat level).
The accompanying Stata do-file (`replication_code.do`) executes all steps necessary to reproduce the main regression results presented in the paper, including the ordered logit and OLS models from Table 2, the mediation analysis from Table 3, and the robustness checks from Table A1. The code is self-contained and requires Stata version 16 or higher. A `README.txt` file provides detailed instructions for replication.
DOI: 10.17043/tarfala-ridge-meteorology-1
title: Meteorological data from Tarfala Ridge, northern Sweden
DOI: 10.7910/dvn/d9u5d9
title: Replication Data for: Revisiting Name Recognition and Candidate Support: Experimental Tests of the Mere Exposure Hypothesis

description: Often lacking adequate information to guide their votes, voters may be susceptible to subtle psychological influences, including name recognition. For decades, scholars have found that voters are more likely to cast ballots for candidates whose names they recognize. These arguments imply that exposure to little-known candidates’ names increases electoral support. But research has seldom demonstrated a causal effect consistent with this “mere exposure” hypothesis, particularly under real-world conditions. We conduct three sets of experiments exposing subjects to the names of challengers in a range of electoral contexts across the United States. Results yield little support for the hypothesis that exposure increases electoral support. As name recognition may be insufficient without party labels, we also conduct experiments providing the candidates’ party affiliations, again finding little evidence of an effect. These findings cast doubt on the hypothesis that candidates, particularly challengers, who merely make their names known will thereby win more votes.
DOI: 10.5281/zenodo.17433389
title: Angular dependence and powder average of resonant inelastic X-ray scattering

description: Abstract

Resonant inelastic X-ray scattering (RIXS) is a synchrotron-based spectroscopy that has seen growing interest across a range of scientific disciplines beyond fundamental physics. The interpretation of experimental RIXS data requires theoretical calculations based on the Kramers–Heisenberg formula. However, due to the dependence of RIXS on both the incident and scattered photon properties, a tractable treatment of the angular dependence in this formula has been lacking. In this work, within the electric dipole approximation, we determine the number of fundamental spectra contributing to the RIXS cross-section for all crystallographic point groups. We then derive a general expression for the RIXS cross-section of isotropic samples such as un-textured powders, homogeneous glasses or liquids, explicitly accounting for the polarization and propagation directions of both the incident and scattered photons. Simplified forms of the RIXS expressions are subsequently obtained for most common point groups. Finally, we demonstrate the applicability of our formalism through a case study of uranium 3d4f RIXS.
DOI: 10.15468/dl.4qg3az
title: Occurrence Download

description: A dataset containing 32987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset)",
 "Geometry POLYGON((-70.8409 42.60749,-70.84147 42.59385,-70.81934 42.58244,-70.78985 42.59093,-70.81008 42.60596,-70.82161 42.60165,-70.82691 42.60805,-70.8409 42.60749))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset includes 32987 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002978-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25417/uic.30397054
title: Dataset of metals in water samples at ASGM locations in Kenya

description: This dataset is from a study of metals found in artisanal and small-scale gold mining in western Kenya. Specifically, water samples were collected from basins used to amalgamate gold with elemental mercury. The samples were analyzed by ICP-MS for a set of metals. The dataset has one tab with results of analysis of field samples ("Occupational Water Samples"). Other tabs have location data about sampling sites and results of analysis of sample blanks.
DOI: 10.25417/uic.30397054.v1
title: Dataset of metals in water samples at ASGM locations in Kenya

description: This dataset is from a study of metals found in artisanal and small-scale gold mining in western Kenya. Specifically, water samples were collected from basins used to amalgamate gold with elemental mercury. The samples were analyzed by ICP-MS for a set of metals. The dataset has one tab with results of analysis of field samples ("Occupational Water Samples"). Other tabs have location data about sampling sites and results of analysis of sample blanks.
DOI: 10.15468/dl.p87dch
title: Occurrence Download

description: A dataset containing 50974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Geometry POLYGON((-86.97666 45.12028,-88.56878 42.37344,-86.44595 40.51719,-83.43861 40.24769,-81.58113 42.95879,-79.72366 45.24497,-83.61551 47.02229,-88.03807 46.90156,-86.97666 45.12028))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50974 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002946-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43n753
title: Occurrence Download

description: A dataset containing 661606 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Triplehorn Insect Collection, The Ohio State University"
 ]
}

 The dataset includes 661606 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002955-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrvxgr
title: Occurrence Download

description: A dataset containing 144817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Albania",
 "Geometry POLYGON((19.0755 39.1074,21.11369 39.1074,21.11369 42.69407,19.0755 42.69407,19.0755 39.1074))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 144817 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002905-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e8krn
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Locality is ROMILLY-SUR-SEINE",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 814 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002979-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17454843
title: Working fluid/oil separation in a reversible ORC test rig with a twin-screw machine - Lessons learned and remaining challenges

description: This dataset contains the raw experimental data obtained from the oil flow variation tests in high-temperature heat pump mode conducted in a reversible Organic Rankine Cycle system. The measurements were performed at the Chair of Energy Systems, Technical University of Munich. The analyzed results were presented at the 8th International Seminar on ORC Power Systems (2025) and the corresponding publication ("Working fluid/oil separation in a reversible ORC test rig with a twin-screw machine - Lessons learned and remaining challenges") is available in the conference proceedings.
DOI: 10.5281/zenodo.17454844
title: Working fluid/oil separation in a reversible ORC test rig with a twin-screw machine - Lessons learned and remaining challenges

description: This dataset contains the raw experimental data obtained from the oil flow variation tests in high-temperature heat pump mode conducted in a reversible Organic Rankine Cycle system. The measurements were performed at the Chair of Energy Systems, Technical University of Munich. The analyzed results were presented at the 8th International Seminar on ORC Power Systems (2025) and the corresponding publication ("Working fluid/oil separation in a reversible ORC test rig with a twin-screw machine - Lessons learned and remaining challenges") is available in the conference proceedings.
DOI: 10.13140/rg.2.2.12560.47362
title: case study
DOI: 10.15468/dl.mbbafj
title: Occurrence Download

description: A dataset containing 904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus steindachneri"
 ]
}

 The dataset includes 904 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002980-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17456751
title: Palau FTIR Tropospheric Ozone Column (0.2–10.2 km), Sep–Oct 2022 (v1.0)

description: This dataset provides ground-based Fourier-transform infrared (FTIR) observations of tropospheric ozone over Palau (7.3°N, 134.5°E) during September–October 2022, retrieved using the **SFIT-4** algorithm.  The main product is the dry-air partial column-averaged mixing ratio of ozone (O₃) in the 0.2–10.2 km altitude range, representing the lower-tropospheric column (TOC).

Auxiliary variables such as averaging kernels (AVK), solar zenith angles (SZA), and degrees of freedom for signal (DOFS) are provided to allow averaging-kernel-consistent model or satellite comparisons.

This dataset was used in the study:  > Sun, X. et al. (2025), “Tropospheric Low Ozone and Its Diurnal Cycle over the Western Pacific Warm Pool from Solar Absorption FTIR observations.”
DOI: 10.5281/zenodo.17456752
title: Palau FTIR Tropospheric Ozone Column (0.2–10.2 km), Sep–Oct 2022 (v1.0)

description: This dataset provides ground-based Fourier-transform infrared (FTIR) observations of tropospheric ozone over Palau (7.3°N, 134.5°E) during September–October 2022, retrieved using the **SFIT-4** algorithm.  The main product is the dry-air partial column-averaged mixing ratio of ozone (O₃) in the 0.2–10.2 km altitude range, representing the lower-tropospheric column (TOC).

Auxiliary variables such as averaging kernels (AVK), solar zenith angles (SZA), and degrees of freedom for signal (DOFS) are provided to allow averaging-kernel-consistent model or satellite comparisons.

This dataset was used in the study:  > Sun, X. et al. (2025), “Tropospheric Low Ozone and Its Diurnal Cycle over the Western Pacific Warm Pool from Solar Absorption FTIR observations.”
DOI: 10.5281/zenodo.16362042
title: Dataset associated with the Karyu et al. 2025 manuscript

description: Main data used in Karyu et al. 2025 manuscript. Descriptions of the files are provided in the README.txt file.
DOI: 10.5281/zenodo.17456674
title: Dataset associated with the Karyu et al. 2025 manuscript

description: Main data used in Karyu et al. 2025 manuscript. Descriptions of the files are provided in the README.txt file.
DOI: 10.5281/zenodo.17456388
title: Avian cognition and collision incidence analysis

description: Data and code used in analyses to support the manuscript "Innovative behavior is associated with increased collision incidence in birds".
DOI: 10.13140/rg.2.2.32693.13289
title: random instances
DOI: 10.15468/dl.5kxz2j
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrina coralloides"
 ]
}

 The dataset includes 461 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002981-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fe425
title: Occurrence Download

description: A dataset containing 26825 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire des coléoptères saproxyliques de France métropolitaine - Données Opie, Coléoptères saproxyliques"
 ]
}

 The dataset includes 26825 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002982-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17418205
title: Idealized Model Experiments in the Atlantic with changing Wind Stress at the Equator

description: These files are asoociated with the publication titled "Impact of Equatorial Wind Change on the Meridional Heat Transport in the Atlantic" by Sanjana Satish, Kaila Uyeda, and C Spencer Jones. There are 10 files in total, 8 of which are from the model runs using the wind profiles in winds.nc, and the geometry as in ocean_geometry.nc
DOI: 10.5281/zenodo.17418206
title: Idealized Model Experiments in the Atlantic with changing Wind Stress at the Equator

description: These files are asoociated with the publication titled "Impact of Equatorial Wind Change on the Meridional Heat Transport in the Atlantic" by Sanjana Satish, Kaila Uyeda, and C Spencer Jones. There are 10 files in total, 8 of which are from the model runs using the wind profiles in winds.nc, and the geometry as in ocean_geometry.nc
DOI: 10.15468/dl.cknjdu
title: Occurrence Download

description: A dataset containing 89331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagaceae"
 ]
}

 The dataset includes 89331 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002902-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds004215.v1.0.0
title: The NIMH Intramural Healthy Volunteer Dataset
DOI: 10.6084/m9.figshare.28660019
title: Predicting hybrid fitness: the effects of ploidy and complex ancestry

description: # Predicting hybrid fitness: the effects of ploidy and complex ancestryHybridization between divergent populations places alleles in novel genomic contexts. This can inject adaptive variation -- which is useful for breeders and conservationists -- or reduce fitness, leading to reproductive isolation. Most theoretical work on hybrids involves haploid or diploid hybrids between two parental lineages, but real-world hybridization is often more complex. We introduce a simple fitness landscape model to predict hybrid fitness with arbitrary ploidy and an arbitrary number of hybridizing lineages. We test our model on published data from maize (<i>Zea mays</i>) and rye (<i>Secale cereale</i>), including hybrids between multiple inbred lines, both as diploids and synthetic tetraploids. Quantitative predictions for the effects of inbreeding, and the strength of progressive heterosis, are well supported. Results suggest that the model captures the important properties of dosage and genetic interactions, and may help to unify theories of heterosis and reproductive isolation.<br>## Description of the data and file structure<br>The three folders contain the scripts and data files required to produce the figures in the article<br>"Predicting hybrid fitness: the effects of ploidy and complex ancestry" by Hilde Schneemann ([hilde.schneemann@evobio.eu](mailto:hilde.schneemann@evobio.eu)) and John Welch.<br>The data in the '.csv' files was extracted from the following sources (filtered and reformatted to facilitate our analysis):<br>rye data: Lundqvist, A. (1966). Heterosis and inbreeding depression in autotetraploid rye. Hereditas, 56(2-3):317–366.<br>maize data: Yao, H., Srivastava, S., Swyers, N., Han, F., Doerge, R. W., and Birchler, J. A. (2020). Inbreeding depression in genotypically matched diploid and tetraploid maize. Frontiers in Genetics,11:564928<br>You can run the scripts ending in '.R' files in R, setting the working directory to that in which the file is found.<br>The 'maize' folder contains script to produce the figures with maize data (Figure 1 and S1).<br>The 'rye' folder contains the script to produce the figures with rye data (Figure 2, S2, S3 and S4).<br>The 'FigS5' folder contains the script to produce the conceptual Figure S5.<br>### Files and variables<br>#### File: code.zip<br>**Description:** This compressed archive contains three folders ('maize', 'rye' and 'FigS5'). Each of these contains a single R script and the PDF figures created by this script. The 'maize' and 'rye' folder also contain CSV files with the data required by the scripts.<br>## Access information<br>Data was derived from the following sources:<br>* Lundqvist, A. (1966). Heterosis and inbreeding depression in autotetraploid rye. Hereditas, 56(2-3):317–366.* Yao, H., Srivastava, S., Swyers, N., Han, F., Doerge, R. W., and Birchler, J. A. (2020). Inbreeding depression in genotypically matched diploid and tetraploid maize. Frontiers in Genetics,11:564928<br><br>