cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.79482.v1/t1
title: "Table 1" of "Constraining the magnitude of the Chiral Magnetic Effect with Event Shape Engineering in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 2.76$ TeV"

description: $v_2\{EP\}$ with $|\Delta\eta| &gt; 2.0$ as a function of centrality for unbiased events in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.
description: In ultrarelativistic heavy-ion collisions, the event-by-event variation of the elliptic flow $v_2$ reflects fluctuations in the shape of the initial state of the system. This allows us to systematically study events corresponding to the same centrality but different initial geometry. This selection technique, Event Shape Engineering, has been used in the analysis of charge-dependent two- and three-particle correlations in Pb—Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV. The two-particle correlator $\langle \cos(\varphi_{\alpha} - \varphi_{\beta}) \rangle$, calculated for different combinations of charges $\alpha$ and $\beta$, is almost independent of $v_2$ (for a given centrality), while the three-particle correlator $\langle \cos(\varphi_{\alpha} + \varphi_{\beta} - 2\Psi_2) \rangle$ scales almost linearly both with the event $v_2$ and charged-particle pseudorapidity density. The charge dependence of the three-particle correlator is often interpreted as evidence for the Chiral Magnetic Effect (CME), a parity violating effect of the strong interaction. However, its measured dependence on $v_2$ points to a large non-CME contribution to the correlator. Comparing the results with Monte Carlo calculations including a magnetic field due to the spectators, the upper limit of the CME signal contribution to the three-particle correlator in the 10-50% centrality interval is found to be 26-33% at 95% confidence level.
DOI: 10.17182/hepdata.79482.v1/t2
title: "Table 2" of "Constraining the magnitude of the Chiral Magnetic Effect with Event Shape Engineering in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 2.76$ TeV"

description: $v_2\{EP\}$ with $|\Delta\eta| &gt; 2.0$ as a function of centrality for shape selected events (0-10% $q_2$) in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.
description: In ultrarelativistic heavy-ion collisions, the event-by-event variation of the elliptic flow $v_2$ reflects fluctuations in the shape of the initial state of the system. This allows us to systematically study events corresponding to the same centrality but different initial geometry. This selection technique, Event Shape Engineering, has been used in the analysis of charge-dependent two- and three-particle correlations in Pb—Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV. The two-particle correlator $\langle \cos(\varphi_{\alpha} - \varphi_{\beta}) \rangle$, calculated for different combinations of charges $\alpha$ and $\beta$, is almost independent of $v_2$ (for a given centrality), while the three-particle correlator $\langle \cos(\varphi_{\alpha} + \varphi_{\beta} - 2\Psi_2) \rangle$ scales almost linearly both with the event $v_2$ and charged-particle pseudorapidity density. The charge dependence of the three-particle correlator is often interpreted as evidence for the Chiral Magnetic Effect (CME), a parity violating effect of the strong interaction. However, its measured dependence on $v_2$ points to a large non-CME contribution to the correlator. Comparing the results with Monte Carlo calculations including a magnetic field due to the spectators, the upper limit of the CME signal contribution to the three-particle correlator in the 10-50% centrality interval is found to be 26-33% at 95% confidence level.
DOI: 10.17182/hepdata.79482.v1/t3
title: "Table 3" of "Constraining the magnitude of the Chiral Magnetic Effect with Event Shape Engineering in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 2.76$ TeV"

description: $v_2\{EP\}$ with $|\Delta\eta| &gt; 2.0$ as a function of centrality for shape selected events (10-20% $q_2$) in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV.
description: In ultrarelativistic heavy-ion collisions, the event-by-event variation of the elliptic flow $v_2$ reflects fluctuations in the shape of the initial state of the system. This allows us to systematically study events corresponding to the same centrality but different initial geometry. This selection technique, Event Shape Engineering, has been used in the analysis of charge-dependent two- and three-particle correlations in Pb—Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV. The two-particle correlator $\langle \cos(\varphi_{\alpha} - \varphi_{\beta}) \rangle$, calculated for different combinations of charges $\alpha$ and $\beta$, is almost independent of $v_2$ (for a given centrality), while the three-particle correlator $\langle \cos(\varphi_{\alpha} + \varphi_{\beta} - 2\Psi_2) \rangle$ scales almost linearly both with the event $v_2$ and charged-particle pseudorapidity density. The charge dependence of the three-particle correlator is often interpreted as evidence for the Chiral Magnetic Effect (CME), a parity violating effect of the strong interaction. However, its measured dependence on $v_2$ points to a large non-CME contribution to the correlator. Comparing the results with Monte Carlo calculations including a magnetic field due to the spectators, the upper limit of the CME signal contribution to the three-particle correlator in the 10-50% centrality interval is found to be 26-33% at 95% confidence level.
DOI: 10.24431/rw1k9ha
title: Cormorant Oceanography Project: Biologging Data from Great Cormorants (Phalacrocorax carbo), Lithuania, 2021

description: Oceanographic sampling of the coastal ocean is often sparse in space and time and in situ observations are needed to understand the complex physical processes in this zone. 

The Cormorant Oceanography Project (https://www.osudashcams.com/) is an interdisciplinary collaboration between oceanographers and seabird ecologists based at Oregon State University, USA, along with international partnerships with global collaborators. We are advancing biologging tag technologies for use with cormorant species to measure in situ oceanographic conditions. This also offers a unique opportunity to study the distribution and behaviours of cormorants relative to environmental conditions along their daily foraging paths. 

Our biologging tags include combinations of fast-response sensors to measure water temperature, conductivity, and pressure. Each tag contains an inertial measurement unit (IMU) to monitor acceleration and orientation. A GPS unit, triggered when a bird surfaces, provides locations for georeferencing measurements. The sensors collect large volumes of data that are transmitted and retrieved using two-way cellular communications. 

This dataset was collected by our collaborators at Klaipėda University, Lithuania, and consists of GPS tracks and dive profiles from Great Cormorants (Phalacrocorax carbo). Birds were tagged at the Baltic Sea coastal colonies in Lithuania, during the 2021 breeding season. Cormorants were fitted with GPS-GSM tags integrated with temperature, depth and IMU sensors and were tracked through their post-breeding migration.
DOI: 10.15468/dl.e5yprr
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Romerolagus diazi",
 "Year 2010-2025"
 ]
}

 The dataset includes 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006758-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17705641
title: Artificial Intelligence for the Diagnosis of De Novo Obstructive Sleep Apnoea: A Scoping Review of Global Evidence
DOI: 10.5281/zenodo.17705640
title: Artificial Intelligence for the Diagnosis of De Novo Obstructive Sleep Apnoea: A Scoping Review of Global Evidence
DOI: 10.15468/dl.x3yerz
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.62 -13.12,69.27 -13.12,69.27 12.83,-71.62 12.83,-71.62 -13.12))",
 "OccurrenceStatus is Present",
 "TaxonKey is Palmophyllophyceae"
 ]
}

 The dataset includes 25 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006760-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veew8r
title: Occurrence Download

description: A dataset containing 3265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunnus albacares",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 3265 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006761-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7hy6p
title: Occurrence Download

description: A dataset containing 2134795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Decapoda",
 "Year 2012-2024"
 ]
}

 The dataset includes 2134795 records from 1700 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006692-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6577u
title: Occurrence Download

description: A dataset containing 3817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Anser cygnoides (Linnaeus, 1758)"
 ]
}

 The dataset includes 3817 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001435-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kccnv5
title: Occurrence Download

description: A dataset containing 1386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eptesicus brasiliensis (Desmarest, 1819)"
 ]
}

 The dataset includes 1386 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001436-250424135625364/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.31124194
title: 数据集和数据结果GAS and SDG4

description: <br>基础信息：样本城乡分布、年龄、基线知识水平等；核心指标：理论成绩、实操技能、操作错误率、自我效能感、可持续素养等前后测对比及统计检验结果；公平与效率指标：城乡技能提升差距（GAS 缩小 35%）、资源利用率（提升 20%）、培训消耗（降低 18%）等；跨领域数据：机械制造低碳加工、电子商务可持续直播的关键效果指标；质性数据：学生与教师的访谈反馈主题及代表性语录。
DOI: 10.6084/m9.figshare.31124194.v1
title: 数据集和数据结果GAS and SDG4

description: <br>基础信息：样本城乡分布、年龄、基线知识水平等；核心指标：理论成绩、实操技能、操作错误率、自我效能感、可持续素养等前后测对比及统计检验结果；公平与效率指标：城乡技能提升差距（GAS 缩小 35%）、资源利用率（提升 20%）、培训消耗（降低 18%）等；跨领域数据：机械制造低碳加工、电子商务可持续直播的关键效果指标；质性数据：学生与教师的访谈反馈主题及代表性语录。
DOI: 10.57841/casdc.0006995
title: 室温有机自旋电子器件通过电光补偿策略实现宽范围磁电流调控和多功能性论文数据集
DOI: 10.5281/zenodo.18309909
title: Beijing Sixth-Ring noise complaints and explanatory variables, 2019–2023

description: This repository contains aggregated grid-level noise-complaint rates and explanatory variables for Beijing within the Sixth Ring Road during 2019–2023. It provides complaint rates by source type (transport, mechanical, neighbor, voice, music) together with demographic, functional, accessibility, morphological, environmental and nighttime-activity indicators, plus core Python scripts for the main analyses; only de-identified aggregates are included, as original complaint text records cannot be shared for privacy reasons.
description: v1.1 (naming fix): Renamed variable to avoid ambiguity; no changes to underlying values or other contents.
DOI: 10.5281/zenodo.17762541
title: Beijing Sixth-Ring noise complaints and explanatory variables, 2019–2023

description: This repository contains aggregated grid-level noise-complaint rates and explanatory variables for Beijing within the Sixth Ring Road during 2019–2023. It provides complaint rates by source type (transport, mechanical, neighbor, voice, music) together with demographic, functional, accessibility, morphological, environmental and nighttime-activity indicators, plus core Python scripts for the main analyses; only de-identified aggregates are included, as original complaint text records cannot be shared for privacy reasons.
description: v1.1 (naming fix): Renamed variable to avoid ambiguity; no changes to underlying values or other contents.
DOI: 10.5281/zenodo.18335928
title: Microbiological agents as notified to EFSA

description: This is the list of “Microbiological agents as notified to EFSA” from 2007, in the context of technical dossiers to EFSA Units, for intentional use in feed and/or food or as sources of food and feed additives, enzymes and plant protection products (PPPs) for safety assessment.

This is supplementing the QPS statements part 11, part 12, part 13, part 14, part 15, part 16, part 17, part 18, part 19, part 20, part 21, part 22, part 23 and the 2022 Scientific Opinion of the BIOHAZ Panel of EFSA - see related identifiers.

EFSA topic on QPS: https://www.efsa.europa.eu/en/topics/topic/qualified-presumption-safety-qps
description: EU;en; xlsx; biohaz@efsa.europa.eu
DOI: 10.5281/zenodo.3607183
title: Microbiological agents as notified to EFSA

description: This is the list of “Microbiological agents as notified to EFSA” from 2007, in the context of technical dossiers to EFSA Units, for intentional use in feed and/or food or as sources of food and feed additives, enzymes and plant protection products (PPPs) for safety assessment.

This is supplementing the QPS statements part 11, part 12, part 13, part 14, part 15, part 16, part 17, part 18, part 19, part 20, part 21, part 22, part 23 and the 2022 Scientific Opinion of the BIOHAZ Panel of EFSA - see related identifiers.

EFSA topic on QPS: https://www.efsa.europa.eu/en/topics/topic/qualified-presumption-safety-qps
description: EU;en; xlsx; biohaz@efsa.europa.eu
DOI: 10.5281/zenodo.18296525
title: ROBIN - Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics - BendingBeam Dataset

description: BendingBeam dataset

BendingBeam is a diagnostic benchmark dataset of the paper Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics focused on structural mechanics for neural PDE solvers. It simulates the geometric nonlinear deformations of beam parts under external forces and is specifically designed to test a model's ability to propagate local boundary information across global mesh geometries.

Key challenges and motivation

This dataset addresses bottlenecks in learning physical dynamics on meshes.



Local-to-global propagation: Force and boundary conditions are defined on a small subset of nodes (local), yet they determine the deformation of the entire part (global).

Large Graph Diameters: The beams have large aspect ratios and increased mesh resolution at thin walls. This creates large graph diameters, which challenge the message-passing capabilities of graph neural networks (GNNs).

Spatial Frequency Variance: Models must accurately resolve solutions across varying spatial frequencies influenced by geometry-dependent stiffness.


Technical Specifications

Domain: Structural Mechanics (Geometric Nonlinear Deformation)Solver: scikit-fem (Newton-Raphson, stop tolerance 10−8)Temporal Resolution: 400 time steps per simulationTotal Samples: 1,300Split: 1000 Training, 100 Validation, 100 Testing, and 100 additional. Dataset format: XDMF files based on HDF5. These simulations can be opened directly in Paraview.
DOI: 10.5281/zenodo.18296526
title: ROBIN - Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics - BendingBeam Dataset

description: BendingBeam dataset

BendingBeam is a diagnostic benchmark dataset of the paper Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics focused on structural mechanics for neural PDE solvers. It simulates the geometric nonlinear deformations of beam parts under external forces and is specifically designed to test a model's ability to propagate local boundary information across global mesh geometries.

Key challenges and motivation

This dataset addresses bottlenecks in learning physical dynamics on meshes.



Local-to-global propagation: Force and boundary conditions are defined on a small subset of nodes (local), yet they determine the deformation of the entire part (global).

Large Graph Diameters: The beams have large aspect ratios and increased mesh resolution at thin walls. This creates large graph diameters, which challenge the message-passing capabilities of graph neural networks (GNNs).

Spatial Frequency Variance: Models must accurately resolve solutions across varying spatial frequencies influenced by geometry-dependent stiffness.


Technical Specifications

Domain: Structural Mechanics (Geometric Nonlinear Deformation)Solver: scikit-fem (Newton-Raphson, stop tolerance 10−8)Temporal Resolution: 400 time steps per simulationTotal Samples: 1,300Split: 1000 Training, 100 Validation, 100 Testing, and 100 additional. Dataset format: XDMF files based on HDF5. These simulations can be opened directly in Paraview.
DOI: 10.15468/dl.w5ca78
title: Occurrence Download

description: A dataset containing 69884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus merula",
 "Year 2000-2025"
 ]
}

 The dataset includes 69884 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004756-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/msyz-1t72
title: NCCOS Assessment: Orthoimagery, vegetation, and sediment characteristics in Susquehanna River, Chesapeake Bay on 20230516 (NCEI Accession 0303869)

description: This dataset contains imagery, GPS coordinates, elevation data, types of vegetation, and sediment characteristics collected from Fishing Battery Island. This island was revisited to evaluate long-term performance post-restoration. The data collected for assessment is stored in one .tif file and three .csv files. The .tif file consists of an ortho mosaic image, captured using a DJI Phantom 4 Pro drone. The .csv files contain detailed gps data, observed vegetation, and sediment core information, including bulk density and percent carbon. The Trimble R12 GNSS System was utilized to capture the GPS data for types of vegetation, sediment cores, ground control points (used for georeferencing drone imagery), and the topography of the island. A total of three sediment cores were extracted by driving a 7 cm diameter polycarbonate tube into the ground. Sediment cores were further analyzed at the lab to determine sediment characteristics. To determine bulk density, the cores were sectioned into 5cm intervals and dried. The dried section was weighed and bulk density was calculated using weight divided by volume. The dried sediment was subsampled to measure percent carbon with a Perkin Elmer 2400 series II CHNS/O elemental analyzer. More information on this site can be found here: https://arcg.is/08Oirb0
DOI: 10.60534/ez8vf-kax43
title: PHOTOPERIOD 1 enhances stress tolerance and energy metabolism to promote spike fertility in barley under high ambient temperatures

description: hosted on: https://git.nfdi4plants.org/projects/1590
DOI: 10.60534/hp7es-ykp49
title: PHOTOPERIOD 1 enhances stress tolerance and energy metabolism to promote spike fertility in barley under high ambient temperatures

description: hosted on: https://git.nfdi4plants.org/projects/1590
DOI: 10.18160/bh5c-k4g4
title: Obspack compilation of atmospheric oxygen and carbon dioxide data from ICOS and non-ICOS stations for the period 1989-2025

description: This data package contains high accuracy CO2 dry air mole fractions and deltaO2N2 ratios in dry air from 34 ICOS and non-ICOS observatories. The package is the first release of the multispecies O2/CO2 Obspack data product (version 1.0), and is intended for use in carbon cycle research, e.g., inverse modeling or data comparison studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/M3VW-DRM5. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information.
description: Global O2 Obspack, produced by CP-NL
DOI: 10.15468/dl.dvpyc2
title: Occurrence Download

description: A dataset containing 49882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ichthyaetus ichthyaetus"
 ]
}

 The dataset includes 49882 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004771-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data2940
title: Raw analytical data from different experimental approaches to study the regulation of the Gh/Igf axis by selected amino acids (AAs) in gilthead sea bream (Sparus aurata) fish.

description: Raw analytical data obtained from an experimental trial in which we investigated the regulation of the Gh/Igf axis by selected amino acids (AAs) in gilthead sea bream (Sparus aurata) using complementary experimental approaches, including an in vivo assay by intraperitoneal injection, as well as ex vivo incubations of hemipituitary glands and in vitro of isolated hepatocytes. Data include the levels of Gh and Igf1 in both the plasma of injected fish and in the culture media of incubated hemipituitary glands, as well as gene expression analysis of isolated hepatocytes.
description: This work was supported by the projects with references RTI2018-100757-B-I00 (MICIU/AEI/10.13039/501100011033 and by ERDF A way of making Europe), PID2023-149563OB-I00 (MICIU/AEI/10.13039/501100011033 and by ERDF/EU), PID2020-116172RB-I00 and PDC2021-121316-I00 (MICIU/AEI/10.13039/501100011033), 2017SGR1574 and 2021SGR-00713 {Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR)}, as well as ACUISOST {MAPA (RD 685/2021, 03/08/2021) and European Union NextGeneration (EU/PRTR - BDNS: 579529 - Component 3 - Action Line I8)}. M.P.A. and S.B.-P. were supported by predoctoral fellowships (BES-2016-078697 and PRE-2018-085580, respectively) from the MCIN/AEI/ 10.13039/501100011033 and by “ESF Investing in your future”.