cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15260598
title: Co-UDlabs _TA_IKT-03-TEST Testing the hydraulic performance of full-scale prototypes of a novel manhole

description: The design of manholes dates back more than 100 years and there is a lack of research on improvements in the geometry and configurations of manhole’ structures. This project presents an innovative manhole design suitable for use in narrow streets, particularly in hilly regions providing cost-effective and space-efficient solutions for separate urban sewer networks to improve and ameliorate the adverse environmental impacts of storm drainage systems. It addresses the challenges of disruptions to city streets and flooding events in downstream networks by mitigating the flow energy inside the storm chamber and enabling separate sewer pipes to be accommodated in one trench. The new shape of the manhole generates a new flow pattern for stormwater. It is therefore important to understand the hydraulic properties of the newly designed stormwater manhole chamber. The structural and hydraulic properties of a physical scale model of the new design have been assessed before at a lab at Liverpool John Moores Unviersity (LJMU) in the UK, and the results showed that the new manhole design provided structural integrity, stability, and significant improvements in hydraulic performance compared with the conventional system. 

The dataset of this Transnational Access Project - as a part of the Europen Union funded project Co-UDlabs (Collaborative Urban Drainage research lab communities) -  is about the hydraulic performance of the new  manhole system tested at a full-scale demonstration facility at IKT - Institute for Underground Infrastructure (Germany). 

The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)”
DOI: 10.6084/m9.figshare.28639898
title: Supplementary data 2

description: Spreadsheet file including a table providing the number of local populations with genetic data available inside protected areas (PAs) per PA and metadata relative to PAs (type, name, year of establishment, total area), presented in Paz-Vinas, Vandergast et al (accepted).Paz-Vinas I, Vandergast A, Schmidt C, Leigh DM, Blanchet S, Clark RD, Crandall ED, De Kort H, Falgout J, Garroway CJ, Karachaliou E, Kershaw F, O’Brien D, Pinsky ML, Segelbacher G, Toczydlowski R, Hunter ME <b>(accepted)</b>. Sparse genetic data limit biodiversity assessments in protected areas globally. Frontiers in Ecology and the Environment
DOI: 10.5281/zenodo.15261598
title: Global Influenza Vaccine Equipment Market 2024 To 2033

description: Influenza Vaccine Equipment Market Size, Trends and Insights By Vaccine Type (Inactivated, Live Attenuated), By Indication (Quadrivalent, Trivalent), By Age Group (Pediatric, Adult), By Route of Administration (Injection, Nasal Spray), By Distribution Channel (Hospitals & Pharmacies, Government & Institutional Supply, Other), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

The global Influenza Vaccine Equipment Market is anticipated to witness substantial growth from 2024 to 2033, driven by increasing global awareness of influenza prevention and control, coupled with the rising prevalence of influenza outbreaks worldwide. Influenza vaccine equipment includes a range of specialized machinery and devices utilized in vaccine production and packaging processes.

This market is expected to register a Compound Annual Growth Rate (CAGR) of approximately 7.9% during the forecast period. In 2024, the market size was estimated at USD 4.9 Billion, with projections to reach USD 7.8 Billion by 2033.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=44576
DOI: 10.5281/zenodo.15261599
title: Global Influenza Vaccine Equipment Market 2024 To 2033

description: Influenza Vaccine Equipment Market Size, Trends and Insights By Vaccine Type (Inactivated, Live Attenuated), By Indication (Quadrivalent, Trivalent), By Age Group (Pediatric, Adult), By Route of Administration (Injection, Nasal Spray), By Distribution Channel (Hospitals & Pharmacies, Government & Institutional Supply, Other), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

The global Influenza Vaccine Equipment Market is anticipated to witness substantial growth from 2024 to 2033, driven by increasing global awareness of influenza prevention and control, coupled with the rising prevalence of influenza outbreaks worldwide. Influenza vaccine equipment includes a range of specialized machinery and devices utilized in vaccine production and packaging processes.

This market is expected to register a Compound Annual Growth Rate (CAGR) of approximately 7.9% during the forecast period. In 2024, the market size was estimated at USD 4.9 Billion, with projections to reach USD 7.8 Billion by 2033.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=44576
DOI: 10.5281/zenodo.15260322
title: Dataset belonging to the article: Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica

description: This dataset contains the ZY-3 DEM and the corrected REMA DEMs produced in the study “Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica”. For more details, please refer to the paper currently under review in The Cryosphere (https://doi.org/10.5194/egusphere-2025-175).
DOI: 10.5281/zenodo.15260323
title: Dataset belonging to the article: Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica

description: This dataset contains the ZY-3 DEM and the corrected REMA DEMs produced in the study “Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica”. For more details, please refer to the paper currently under review in The Cryosphere (https://doi.org/10.5194/egusphere-2025-175).
DOI: 10.15468/dl.c4vj7g
title: Occurrence Download

description: A dataset containing 2932678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Formicidae",
 "Year 1000-2025"
 ]
}

 The dataset includes 2932678 records from 1994 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009657-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/l9y-s40-1ye
title: Thurmanniceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rkw-v1t-fgq
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s6w-jpk-2ej
title: †Substeueroceras koeneni (Steuer, 1897)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1j7-fdp-4sz
title: Canis lupus familiaris Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3df-xm5-p26
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ng-3nz-0n3
title: †Ptychophylloceras ptychoicum (Quenstedt, 1845)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y02-jtl-xnx
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f6k-dh4-s70
title: Bison bonasus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kqt-kk9-p5e
title: Hypophylloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ln0-gwn-9rp
title: †Caenanoplia Carter, 1968

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1d8-7ma-qdb
title: Holcophylloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a0v-9at-r6b
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/chc-x5w-33p
title: †Micraster (Micraster) schroederi

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bnk-hs1-0tz
title: Pseudosubplanites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y8s-ct3-b4f
title: Phoca Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8dk-14m-vw1
title: †Conulus subrotundus Mantell, 1822

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/111-rdl-yqc
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yqa-6ab-7qh
title: †Ptychophylloceras ptychoicum (Quenstedt, 1845)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ac-xmw-xlc
title: Heteroscleromorpha Cárdenas, Pérez & Boury-Esnault, 2012

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbm-m71-63w
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ss-b24-xz5
title: Proporidae Graff, 1882

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1g6-bcv-qwy
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r9y-1d8-6yd
title: Cervus elaphus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5ta-yxd-k9p
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8pm-rv4-lmg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cem-1n2-l67
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sra-f4p-n35
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hzb-knn-53y
title: Aves

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v39-93n-v52
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wkk-dqa-0my
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gcd-vk3-qcg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/55l-czp-9w7
title: Chondrichthyes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6lv-h54-x4k
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bgr-8jn-kxl
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zev-q2v-e96
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1wn-hze-vvq
title: Raja

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/39p-csq-glv
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.17334282
title: URP v5.3 — Invariant Normalization of the Cosmological Constant / Invariante Normierung der kosmologischen Konstante

description: English (scientific description)

This study presents version 5.3 of the Universal Resonance Physics (URP) framework.

URP models coherent self-organization through dimensionless parameters of chaos (C), order (O), and coupling (K), connected by resonance (R) and a coherence function B(Ψ).

Instead of introducing a case-dependent calibration α, the new formulation defines a single, system-independent invariant

Ξ = 4 Λ_obs L_c², anchored at the symmetry point (C = O, ln(1 + K) = 1).

With Planck 2018 parameters (Ω_m = 0.31, σ₈ = 0.81, H₀ = 67.4 km s⁻¹ Mpc⁻¹), URP reproduces the observed cosmological constant

Λ_obs ≈ 1.1 × 10⁻⁵² m⁻² within ≈ 8 % deviation — without any per-case fit.

The same invariant scale yields the CMB anisotropy amplitude ΔT/T ≈ 1 × 10⁻⁵ as a linear coherence response.

URP v5.3 therefore provides an invariant, resonance-based explanation of cosmic coherence phenomena without invoking dark energy or spatial curvature.

License: CC BY-NC 4.0

 

Deutsch (wissenschaftliche Zusammenfassung)

Diese Arbeit präsentiert Version 5.3 der Universellen Resonanz-Physik (URP).

URP beschreibt kohärente Selbstorganisation durch die dimensionslosen Parameter Chaos (C), Ordnung (O) und Kopplung (K), vermittelt durch Resonanz (R) und eine Kohärenzfunktion B(Ψ).

Anstelle eines fall-spezifischen Fit-Parameters α wird eine einzige, systemunabhängige Invariante definiert:

Ξ = 4 Λ_obs L_c², verankert am Symmetriepunkt (C = O, ln(1 + K) = 1).

Mit den Planck-2018-Daten (Ω_m = 0.31, σ₈ = 0.81, H₀ = 67.4 km s⁻¹ Mpc⁻¹) reproduziert URP die beobachtete kosmologische Konstante

Λ_obs ≈ 1.1 × 10⁻⁵² m⁻² mit ≈ 8 % Abweichung — ohne fall-spezifisches Fitting.

Dieselbe invariante Skala erklärt zugleich die CMB-Anisotropie ΔT/T ≈ 1 × 10⁻⁵ als linearen Kohärenzeffekt.

URP v5.3 liefert damit eine resonanzbasierte, invariante Deutung kosmischer Kohärenz, ohne Annahmen über dunkle Energie oder Raumkrümmung.

Lizenz: CC BY-NC 4.0
DOI: 10.5281/zenodo.17334283
title: URP v5.3 — Invariant Normalization of the Cosmological Constant / Invariante Normierung der kosmologischen Konstante

description: English (scientific description)

This study presents version 5.3 of the Universal Resonance Physics (URP) framework.

URP models coherent self-organization through dimensionless parameters of chaos (C), order (O), and coupling (K), connected by resonance (R) and a coherence function B(Ψ).

Instead of introducing a case-dependent calibration α, the new formulation defines a single, system-independent invariant

Ξ = 4 Λ_obs L_c², anchored at the symmetry point (C = O, ln(1 + K) = 1).

With Planck 2018 parameters (Ω_m = 0.31, σ₈ = 0.81, H₀ = 67.4 km s⁻¹ Mpc⁻¹), URP reproduces the observed cosmological constant

Λ_obs ≈ 1.1 × 10⁻⁵² m⁻² within ≈ 8 % deviation — without any per-case fit.

The same invariant scale yields the CMB anisotropy amplitude ΔT/T ≈ 1 × 10⁻⁵ as a linear coherence response.

URP v5.3 therefore provides an invariant, resonance-based explanation of cosmic coherence phenomena without invoking dark energy or spatial curvature.

License: CC BY-NC 4.0

 

Deutsch (wissenschaftliche Zusammenfassung)

Diese Arbeit präsentiert Version 5.3 der Universellen Resonanz-Physik (URP).

URP beschreibt kohärente Selbstorganisation durch die dimensionslosen Parameter Chaos (C), Ordnung (O) und Kopplung (K), vermittelt durch Resonanz (R) und eine Kohärenzfunktion B(Ψ).

Anstelle eines fall-spezifischen Fit-Parameters α wird eine einzige, systemunabhängige Invariante definiert:

Ξ = 4 Λ_obs L_c², verankert am Symmetriepunkt (C = O, ln(1 + K) = 1).

Mit den Planck-2018-Daten (Ω_m = 0.31, σ₈ = 0.81, H₀ = 67.4 km s⁻¹ Mpc⁻¹) reproduziert URP die beobachtete kosmologische Konstante

Λ_obs ≈ 1.1 × 10⁻⁵² m⁻² mit ≈ 8 % Abweichung — ohne fall-spezifisches Fitting.

Dieselbe invariante Skala erklärt zugleich die CMB-Anisotropie ΔT/T ≈ 1 × 10⁻⁵ als linearen Kohärenzeffekt.

URP v5.3 liefert damit eine resonanzbasierte, invariante Deutung kosmischer Kohärenz, ohne Annahmen über dunkle Energie oder Raumkrümmung.

Lizenz: CC BY-NC 4.0
DOI: 10.15468/dl.tj3tqf
title: Occurrence Download

description: A dataset containing 12963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "TaxonKey is Crescentia L."
 ]
}

 The dataset includes 12963 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010052-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kssbda
title: Occurrence Download

description: A dataset containing 7374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)",
 "Sex is Female"
 ]
}

 The dataset includes 7374 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010053-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/28752426
title: processed_data: aligned traces, demodulated photometry and restructured behavioral events

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.This is the processed data for fiber photometry data of mice during learning and expert stages of the cloud of tones task. It is not required to run plotting for the paper (that only requires 'Processed striatal dopamine fiber photometry data, required to reproduce all photometry figures except EDfig5pqrstwvxy and EDfig12dfg' which is referred to as 'repro data' in the documentation linked below).This data set includes: aligned_traces (photometry traces aligned to behavioral events per mouse per recording), smoothed_signal (demodulated and smoothed dlight recordings per mouse per session) and restructured_data (behavioral data in a format to easily align to photometry) files that are referred to in the documentation: https://github.com/SainsburyWellcomeCentre/SJLab_APE_paper/tree/main/APE_paper_photometry_code_francesca(file: Documentation for code.pdf)Refer to 'Experiment record for photometry dataset to for all photometry figures except ED Fig 5O-Y and ED Fig 12' for the information about what experiments the dates on the recordings refer to.
DOI: 10.5522/04/28752426.v1
title: processed_data: aligned traces, demodulated photometry and restructured behavioral events

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.This is the processed data for fiber photometry data of mice during learning and expert stages of the cloud of tones task. It is not required to run plotting for the paper (that only requires 'Processed striatal dopamine fiber photometry data, required to reproduce all photometry figures except EDfig5pqrstwvxy and EDfig12dfg' which is referred to as 'repro data' in the documentation linked below).This data set includes: aligned_traces (photometry traces aligned to behavioral events per mouse per recording), smoothed_signal (demodulated and smoothed dlight recordings per mouse per session) and restructured_data (behavioral data in a format to easily align to photometry) files that are referred to in the documentation: https://github.com/SainsburyWellcomeCentre/SJLab_APE_paper/tree/main/APE_paper_photometry_code_francesca(file: Documentation for code.pdf)Refer to 'Experiment record for photometry dataset to for all photometry figures except ED Fig 5O-Y and ED Fig 12' for the information about what experiments the dates on the recordings refer to.
DOI: 10.17632/nsgw7gx32r
title: LINF_150021900

description: Nucleolar RNA binding protein | NOP58; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nsgw7gx32r.2
title: LINF_150021900

description: Nucleolar RNA binding protein | NOP58; Leishmania infantum (strain JPCM5)
DOI: 10.17632/7b72ygn8jh.1
title: LINF_150022500

description: glutaminyl-tRNA synthetase Leishmania infantum (strain JPCM5)
DOI: 10.17632/7b72ygn8jh.2
title: LINF_150022500

description: Glutaminyl-tRNA synthetase | GlnRS; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.3gu8d6
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phragmanthera austroarabica A.G.Mill. & J.Nyberg"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010878-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/portal.gsi.6895b4636d27d
title: G. Pisko, Gemälde-Salon
DOI: 10.15468/dl.39q5pg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Ophiorrhiza undulata"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028431-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.