cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.130768.v1/t61
title: "Table 61" of "Azimuthal anisotropy measurement of (multi-)strange hadrons in Au+Au collisions at $\sqrt{s_{\text{NN}}}$ = 54.4 GeV"

description: Difference of $v_{2}$ between particle and anti-particle
description: RHIC-STAR. Azimuthal anisotropy of produced particles is one of the most important observables used to access the collective properties of the expanding medium created in relativistic heavy-ion collisions. In this paper, we present second ($v_{2}$) and third ($v_{3}$) order azimuthal anisotropies of $K_{S}^{0}$, $\phi$, $\Lambda$, $\Xi$ and $\Omega$ at mid-rapidity ($|y|&lt;$1) in Au+Au collisions at $\sqrt{s_{\text{NN}}}$ = 54.4 GeV measured by the STAR detector.
The $v_{2}$ and $v_{3}$ are measured as a function of transverse momentum and centrality. Their energy dependence is also studied. $v_{3}$ is found to be more sensitive to the change in the center-of-mass energy than $v_{2}$. Scaling by constituent quark number is found to hold for $v_{2}$ within 10\%. This observation could be evidence for the development of partonic collectivity in 54.4 GeV Au+Au collisions. Differences in $v_{2}$ and $v_{3}$ between baryons and anti-baryons are presented, and ratios of $v_{3}$/$v_{2}^{3/2}$ are studied and motivated by hydrodynamical calculations. The ratio of $v_{2}$ of $\phi$ mesons to that of anti-protons ($v_{2}(\phi)/v_{2}(\bar{p})$) shows centrality dependence at low transverse momentum, presumably resulting from the larger effects from hadronic interactions on anti-proton $v_{2}$.
DOI: 10.17182/hepdata.130768.v1/t62
title: "Table 62" of "Azimuthal anisotropy measurement of (multi-)strange hadrons in Au+Au collisions at $\sqrt{s_{\text{NN}}}$ = 54.4 GeV"

description: Difference of $v_{3}$ between particle and anti-particle
description: RHIC-STAR. Azimuthal anisotropy of produced particles is one of the most important observables used to access the collective properties of the expanding medium created in relativistic heavy-ion collisions. In this paper, we present second ($v_{2}$) and third ($v_{3}$) order azimuthal anisotropies of $K_{S}^{0}$, $\phi$, $\Lambda$, $\Xi$ and $\Omega$ at mid-rapidity ($|y|&lt;$1) in Au+Au collisions at $\sqrt{s_{\text{NN}}}$ = 54.4 GeV measured by the STAR detector.
The $v_{2}$ and $v_{3}$ are measured as a function of transverse momentum and centrality. Their energy dependence is also studied. $v_{3}$ is found to be more sensitive to the change in the center-of-mass energy than $v_{2}$. Scaling by constituent quark number is found to hold for $v_{2}$ within 10\%. This observation could be evidence for the development of partonic collectivity in 54.4 GeV Au+Au collisions. Differences in $v_{2}$ and $v_{3}$ between baryons and anti-baryons are presented, and ratios of $v_{3}$/$v_{2}^{3/2}$ are studied and motivated by hydrodynamical calculations. The ratio of $v_{2}$ of $\phi$ mesons to that of anti-protons ($v_{2}(\phi)/v_{2}(\bar{p})$) shows centrality dependence at low transverse momentum, presumably resulting from the larger effects from hadronic interactions on anti-proton $v_{2}$.
DOI: 10.15468/dl.m63zw2
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Budorcas taxicolor"
 ]
}

 The dataset includes 241 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011528-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne7zcs
title: Occurrence Download

description: A dataset containing 76455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quadrulella, Penardochlamys, Nebela, Multicilia, Erpobdella)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 76455 records from 350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011518-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18358662
title: Replication package for: "An App Call a Day Keeps the Patient Away? Substitution of Online and In-Person Doctor Consultations Among Young Adults"

description: Replication Package for "An App Call a Day Keeps the Patient Away? Substitution of Online and In-Person Doctor Consultations Among Young Adults" by Lina Maria Ellegård, Gustav Kjellsson and Linn Mattisson published in the Economic Journal. This replication package provides the code required to replicate the results and exhibits in “An App Call a Day…”. It also includes the collapsed datasets used to generate all exhibits except Figures C1, C2, F1 and Tables D1, G1, H5. Individual-level data are not publicly available.
DOI: 10.5281/zenodo.18358661
title: Replication package for: "An App Call a Day Keeps the Patient Away? Substitution of Online and In-Person Doctor Consultations Among Young Adults"

description: Replication Package for "An App Call a Day Keeps the Patient Away? Substitution of Online and In-Person Doctor Consultations Among Young Adults" by Lina Maria Ellegård, Gustav Kjellsson and Linn Mattisson published in the Economic Journal. This replication package provides the code required to replicate the results and exhibits in “An App Call a Day…”. It also includes the collapsed datasets used to generate all exhibits except Figures C1, C2, F1 and Tables D1, G1, H5. Individual-level data are not publicly available.
DOI: 10.34740/kaggle/dsv/14618681
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.hyv54m
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncaglossum pringlei",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 84 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011529-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ws8wd
title: Occurrence Download

description: A dataset listing the 8522 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - United States (Contiguous) (ver.2.0, 2022)"
 ]
}

 The dataset's 8522 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011527-260120142942310/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.29123060
title: JASPEX model

description: JASPEX model was developed and extensively and rigorously programmed over many years by [Dr.Olugbenga Oluwagbemi]. This GitHub project data also contains processed weather collection data for the region of study from year 2006 to year 2019. https://github.com/oluwagbemi/Enhanced-Computational-Model-Project-2018-2026
DOI: 10.6084/m9.figshare.29123060.v2
title: JASPEX model

description: JASPEX model was developed and extensively and rigorously programmed over many years by [Dr.Olugbenga Oluwagbemi]. This GitHub project data also contains processed weather collection data for the region of study from year 2006 to year 2019. https://github.com/oluwagbemi/Enhanced-Computational-Model-Project-2018-2026
DOI: 10.6084/m9.figshare.29123060.v1
title: JASPEX model

description: JASPEX model was developed using Java programming language and Visual C++/C++ programming language. It was extensively and rigorously programmed over many years. [Dr.Olugbenga Oluwagbemi]. The accompany data were processed and reformatted into its current form using Python programming within Jupyter Notebook enivironment and Shell programming.We wrote new sets of python codes and developed python programming codes to rework on the map to generate the coloured map of Southwest Nigeria from the map of Nigeria (which represented the region of our study). This GitHub project data also contains processed weather collection data for the region of study from year 2006 to year 2019. This repository also contains codes used for processing the data and formatting the data into an appropriate and suitable format for the JASPEX model to effectively absorb and process.https://github.com/oluwagbemi/Enhanced-Computational-Model-Project-2018-2022Some data can be obtained from the main author by reasonable request.
DOI: 10.15468/dl.5db5aw
title: Occurrence Download

description: A dataset containing 37179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Crassula helmsii, Lithobates catesbeianus, Misgurnus mohoity, Myriophyllum aquaticum, Procambarus clarkii, Procambarus virginalis, Xenopus laevis, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 37179 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011531-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34973/dxge-bp38
title: FSHD-registratie

description: This collection belongs to two published papers: 1) "The Dutch registry for facioscapulohumeral muscular dystrophy: Cohort profile and longitudinal patient reported outcomes" by J. Kools et al., published in Neuromuscular Disorders in 2023, and 2) "Living with facioscapulohumeral muscular dystrophy during the first two COVID-19 outbreaks: a repeated patient survey in the Netherlands" by J.C.W. Deenen et al., published in Acta Neurolica Belgica in 2024.
DOI: 10.34973/twq7-9d22
title: The Impact of Inferred Event Knowledge versus Event Structure on Building Narratives

description: Situation models, mental representation of events that are unfolding in the environment, are known to help structure our experiences in our memory, but what exactly are the ingredients of a situation model and to what degree do abstract event features contribute to the updating cycle of a situation model? Here, we used an event card experiment in which we systematically manipulated abstract event feature dimensions (e.g., narrative X has a location change from event 1 to 2) and narrative specific factors (e.g., John walked from the kitchen into the living room after having a coffee). During this experiment, participants actively constructed a narrative from a random order of event descriptions, presented as event cards. After narrative construction, memory of the narrative specific events was tested in an oddball paradigm. We investigated the influence of the abstract factors “degree of feature change” and “position within the story” on response speeding during the oddball task. We discovered that participants were faster for oddballs with a different degree of feature change, which interacted with whether the oddball was from within the same story or from another story. When zooming in on oddballs from other stories only, we found an interaction between position within the event structure and degree of feature change. Our results suggest that people make use of an abstraction for keeping track of an event feature space and narrative specific representations. These abstractions of event features are important for the instantiation of a situation model.
DOI: 10.34973/bv75-q239
title: What learning mechanism underlies statistical learning?

description: Statistical learning enables observers to extract regularities from their environment, but what statistical regularity is extracted remains debated. While previous research has mainly focused on conditional probability, recent evidence suggests that observers may instead learn the uniqueness of predictive relationships. In two visual statistical learning experiments, we manipulated the strength and uniqueness of associations between two object stimuli. We contrasted the predictions of three metrics of associative strength, which incorporate the strength and uniqueness of the association differentially. Participants viewed sequences of objects with varying transitional structures and completed an incidental categorization task. Reaction time benefits for expected versus unexpected stimuli were used to gauge learning. Across two experiments, learning benefits were best predicted by the dual factor heuristic (DFH), a heuristic that jointly considers the conditional probabilities of cue given outcome and outcome given cue. This metric predicted learning behavior better than either the conditional probability of outcome given cue, or the normative metric ΔP, which considers the difference in conditional probabilities of outcome given cue, compared to outcome given no cue. These results suggest that visual statistical learning is primarily guided by a heuristic calculation of uniqueness, as formalized by DFH, rather than either simple conditional probability or ∆P.
DOI: 10.34973/ffdb-m313
title: Does stimulus order affect central tendency and serial dependence in vestibular path integration?

description: The reproduction of a perceived stimulus, such as a distance or a duration, is often influenced by two biases. Central tendency indicates that reproductions are biased toward the mean of the stimulus distribution. Serial dependence reflects that the reproduction of the current stimulus is influenced by the previous stimulus. Although these biases are well-documented, their origins remain to be determined. Studies on duration reproduction suggest that autocorrelation within a stimulus sequence may play a role. In this study, we explored whether the level of autocorrelation in a stimulus sequence affects central tendency and serial dependence in vestibular path integration. Participants (n = 24) performed a vestibular distance reproduction task in total darkness by actively replicating a passively moved stimulus distance with a linear motion platform. We compared two conditions: a high-autocorrelation condition, where stimulus distances followed a random walk, and a no-autocorrelation condition, where the same distances were presented in a randomly shuffled order. We quantified both biases using two approaches: separate simple linear regressions and a joint multiple linear regression model that accounts for the autocorrelation in the stimulus sequence. Simple linear regressions revealed that central tendency was weaker and serial dependence reversed in the high-autocorrelation condition compared to the no-autocorrelation condition. However, these differences were no longer observed in the multiple linear regression analysis, indicating that these biases were independent of the specific stimulus sequence protocol. We conclude that these perceptual biases in vestibular path integration persist regardless of stimulus autocorrelation, suggesting that they reflect robust strategies of the brain to process vestibular information in self-motion perception.
DOI: 10.34973/5mjf-5x71
title: Does stimulus order affect central tendency and serial dependence in vestibular path integration?

description: The reproduction of a perceived stimulus, such as a distance or a duration, is often influenced by two biases. Central tendency indicates that reproductions are biased toward the mean of the stimulus distribution. Serial dependence reflects that the reproduction of the current stimulus is influenced by the previous stimulus. Although these biases are well-documented, their origins remain to be determined. Studies on duration reproduction suggest that autocorrelation within a stimulus sequence may play a role. In this study, we explored whether the level of autocorrelation in a stimulus sequence affects central tendency and serial dependence in vestibular path integration. Participants (n = 24) performed a vestibular distance reproduction task in total darkness by actively replicating a passively moved stimulus distance with a linear motion platform. We compared two conditions: a high-autocorrelation condition, where stimulus distances followed a random walk, and a no-autocorrelation condition, where the same distances were presented in a randomly shuffled order. We quantified both biases using two approaches: separate simple linear regressions and a joint multiple linear regression model that accounts for the autocorrelation in the stimulus sequence. Simple linear regressions revealed that central tendency was weaker and serial dependence reversed in the high-autocorrelation condition compared to the no-autocorrelation condition. However, these differences were no longer observed in the multiple linear regression analysis, indicating that these biases were independent of the specific stimulus sequence protocol. We conclude that these perceptual biases in vestibular path integration persist regardless of stimulus autocorrelation, suggesting that they reflect robust strategies of the brain to process vestibular information in self-motion perception.
DOI: 10.34973/drtg-kq58
title: Rapid modulation of choice behavior by ultrasound on the human frontal eye fields

description: This dataset was collected as part of a study investigating the effects of transcranial ultrasound stimulation (TUS) on the frontal eye fields (FEFs) in humans. A fundamental challenge in neuroscience is establishing causal brain-function relationships with spatial and temporal precision. 
TUS offers a unique opportunity to modulate deep brain structures non-invasively with high spatial resolution, but temporally precise effects and their neurophysiological foundations have yet to be demonstrated in humans. Here, we develop a temporally precise TUS protocol targeting the frontal eye fields (FEFs) — a well-characterized circuit critical for saccadic eye movements. We demonstrate that TUS induces robust excitatory behavioral effects. Importantly, individual differences in baseline GABAergic inhibitory tone predict response magnitude. These findings establish TUS as a reliable tool for chronometric circuit interogation and highlight the importance of neurophysiological state in neuromodulation. This work bridges human and animal research, advancing targeted TUS applications in neuroscience and clinical settings.

Data were acquired across three experimental sessions:
Session 1: Structural MRI scans were obtained for neuronavigation, Functional MRI (BOLD) was used to localize the FEFs and M1 (motor cortex), Magnetic resonance spectroscopy (MRS) was performed to estimate GABA+ levels in the left FEF and left M1.
Session 2: Behavioral and eye-tracking data were collected while participants performed a saccade task designed to assess TUS effects on FEF function.
Session 3: Behavioral and eye-tracking data were recorded again, a behavioral masking assessment was conducted exposing participants to conditions similar to the main saccade task to evaluate the efficacy of control conditions.

The dataset includes the following data types:
Neuroimaging Data: Structural MRI scans for neuronavigation (please note that since the T1-weighted scans are not anonymized, they cannot be shared in this folder), Functional MRI (BOLD) data from FEF and M1 localizers, MRS data estimating GABA+ levels in the left FEF and left M1.
Behavioral and Eye-Tracking Data: Saccade task data, assessing the impact of TUS on FEF function, Masking assessment data validating control conditions.
DOI: 10.15468/dl.3ayvts
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreocarya paradoxa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 138 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011534-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18371318
title: An Industry Study on Thermoplastic Elastomer (TPE) Materials: Innovations and Applications by Dongguan Renergy Plastic  Technology Co., Ltd.

description: This paper examines the current developments in thermoplastic elastomer (TPE) materials, focusing on Dongguan Renergy Plastic Technology Co., Ltd, a company based in Shenzhen that specializes in polymer compounding. TPEs are a category of materials that combine the elasticity of rubber with the processing efficiency of plastics. They can be recycled and adapted to various production methods, which makes them suitable for use in consumer products, automotive parts, medical equipment, and industrial components. Modern TPEs, such as those produced under the Topolymer® brand, do not require vulcanization and can be processed using techniques like injection molding, extrusion, blow molding, and overmolding. Their physical properties, including hardness, thermal resistance, and surface texture, can be adjusted to meet specific application needs.Renergy develops these materials using processes such as twin-screw extrusion and dynamic vulcanization. The formulations are designed to meet defined mechanical criteria, including tensile strength, elongation, and resistance to repeated stress. The materials also comply with international standards related to chemical safety and product performance, such as REACH, RoHS, FDA food-contact regulations, and ISO 10993 for medical use. The company applies a structured development process that includes requirement analysis, laboratory testing, pilot-scale validation, and full-scale manufacturing with quality control at each stage. This process is intended to deliver materials that meet technical, regulatory, and productionrelated requirements.By reviewing both broader trends in the TPE industry and the specific technical practices at Renergy, this study provides information relevant to engineers, product developers, and manufacturers involved in selecting materials for practical applications.
DOI: 10.5281/zenodo.18371319
title: An Industry Study on Thermoplastic Elastomer (TPE) Materials: Innovations and Applications by Dongguan Renergy Plastic  Technology Co., Ltd.

description: This paper examines the current developments in thermoplastic elastomer (TPE) materials, focusing on Dongguan Renergy Plastic Technology Co., Ltd, a company based in Shenzhen that specializes in polymer compounding. TPEs are a category of materials that combine the elasticity of rubber with the processing efficiency of plastics. They can be recycled and adapted to various production methods, which makes them suitable for use in consumer products, automotive parts, medical equipment, and industrial components. Modern TPEs, such as those produced under the Topolymer® brand, do not require vulcanization and can be processed using techniques like injection molding, extrusion, blow molding, and overmolding. Their physical properties, including hardness, thermal resistance, and surface texture, can be adjusted to meet specific application needs.Renergy develops these materials using processes such as twin-screw extrusion and dynamic vulcanization. The formulations are designed to meet defined mechanical criteria, including tensile strength, elongation, and resistance to repeated stress. The materials also comply with international standards related to chemical safety and product performance, such as REACH, RoHS, FDA food-contact regulations, and ISO 10993 for medical use. The company applies a structured development process that includes requirement analysis, laboratory testing, pilot-scale validation, and full-scale manufacturing with quality control at each stage. This process is intended to deliver materials that meet technical, regulatory, and productionrelated requirements.By reviewing both broader trends in the TPE industry and the specific technical practices at Renergy, this study provides information relevant to engineers, product developers, and manufacturers involved in selecting materials for practical applications.