cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7aam3f
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Bird sounds from around the world",
 "OccurrenceStatus is Present",
 "TaxonKey is Buteogallus coronatus"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009903-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/28525
title: Chandra X-ray Observatory ObsId 28525

description: Beyond the GRB jet: searching for the remnant of a neutron star merger
DOI: 10.6084/m9.figshare.29683559.v1
title: Research data_Gargano.xlsx

description: Dataset comprehensive of all raw data shown in the manuscript titled "Nanoalgosomes from <i>Tetraselmis chuii</i>: Microalgal Extracellular Vesicles for UV Protection, Anti-Aging, and Skin Depigmentation" authored by Gargano P. et al., 2025.
DOI: 10.25592/uhhfdm.18072
title: Diversity and Functional Roles of Carabid Beetles across Salinity Gradients in Marshlands

description: This dataset is the base of the project, that investigates the biodiversity, community composition, and functional roles of carabid beetles across salinity gradients in the terrestrial marshlands of the Elbe Estuary. The overarching goal is to understand how carabid beetle assemblages contribute to ecosystem connectivity, functioning, and carbon cycling within these ecotonal systems. This research is part of the graduate school program “Biota-Mediated Effects on Carbon Cycling in Estuaries”.
DOI: 10.25592/uhhfdm.18071
title: Diversity and Functional Roles of Carabid Beetles across Salinity Gradients in Marshlands

description: This dataset is the base of the project, that investigates the biodiversity, community composition, and functional roles of carabid beetles across salinity gradients in the terrestrial marshlands of the Elbe Estuary. The overarching goal is to understand how carabid beetle assemblages contribute to ecosystem connectivity, functioning, and carbon cycling within these ecotonal systems. This research is part of the graduate school program “Biota-Mediated Effects on Carbon Cycling in Estuaries”.
DOI: 10.25592/uhhfdm.18067
title: Figure data for publication "High order strong-coupling expansion for X-ray absorption on a dynamically screened impurity"

description: These datasets contain simulation data which are shown in Fig.s (5)-(9) in the publication mentioned above.<br>
The publication can be found here.
DOI: 10.25592/uhhfdm.18066
title: Figure data for publication "High order strong-coupling expansion for X-ray absorption on a dynamically screened impurity"

description: These datasets contain simulation data which are shown in Fig.s (5)-(9) in the publication mentioned above.<br>
The publication can be found here.
DOI: 10.25592/uhhfdm.18026
title: Quantum Computational Fluid Dynamics - WP Core Tensor Network QCFD Set: Deliverable 4.2 --- Scaling and memory requirements

description: Accompanying dataset for WP4 Deliverable 4.2 (“Scaling and memory requirements”). In relation to the European Union’s Horizon Europe research and innovation programme (HORIZON-CL4-2021-DIGITAL-EMERGING-02-10) under grant agreement No. 101080085 - QCFD (https://doi.org/10.3030/101080085), this repository contains the analysed data underlying the report’s figures. For the tensor-network case studies, we include steady-state field snapshots and the corresponding computed bond dimensions across all tested configurations, enabling reproducibility and straightforward reuse in follow-up analyses. For the variational quantum algorithms (VQA) case studies, we provide the data required to reproduce the figures.
description: The current work has received funding from the European Union's Horizon Europe research and innovation program (HORIZON-CL4-2021 DIGITAL-EMERGING-02-10) under grant agreement No. 101080085 QCFD.
DOI: 10.25592/uhhfdm.18025
title: Quantum Computational Fluid Dynamics - WP Core Tensor Network QCFD Set: Deliverable 4.2 --- Scaling and memory requirements

description: Accompanying dataset for WP4 Deliverable 4.2 (“Scaling and memory requirements”). In relation to the European Union’s Horizon Europe research and innovation programme (HORIZON-CL4-2021-DIGITAL-EMERGING-02-10) under grant agreement No. 101080085 - QCFD (https://doi.org/10.3030/101080085), this repository contains the analysed data underlying the report’s figures. For the tensor-network case studies, we include steady-state field snapshots and the corresponding computed bond dimensions across all tested configurations, enabling reproducibility and straightforward reuse in follow-up analyses. For the variational quantum algorithms (VQA) case studies, we provide the data required to reproduce the figures.
description: The current work has received funding from the European Union's Horizon Europe research and innovation program (HORIZON-CL4-2021 DIGITAL-EMERGING-02-10) under grant agreement No. 101080085 QCFD.
DOI: 10.25592/uhhfdm.18055
title: Real-time fMRI feedback transforms mental strategies into tools for self-regulating hippocampal activity

description: The hippocampus is essential for recalling the past and envisioning the future, and its disruption has major consequences for aging and mental health. While external neurostimulation tools show promise in modulating hippocampal activity, effective real-world interventions require individuals to flexibly self-regulate this system. Here, we show, across two real-time fMRI neurofeedback studies (N = 141), that individuals can learn to upregulate hippocampal activity through mental strategies linked to its core functions. Crucially, the effective use of such strategies depended critically on contingent neurofeedback; without valid neurofeedback, these strategies did not predict the capacity for hippocampal upregulation. Subfield analyses revealed the strongest effects in the subiculum, an integrative hub connecting hippocampal processing to broader cognitive and affective networks. Together, these findings suggest that real-time fMRI feedback reinforces the use of self-generated mnemonic strategies to achieve voluntary control over hippocampal activity—a learned form of self-regulation that may enhance everyday memory function and inform interventions for memory-related disorders.
DOI: 10.25592/uhhfdm.18054
title: Real-time fMRI feedback transforms mental strategies into tools for self-regulating hippocampal activity

description: The hippocampus is essential for recalling the past and envisioning the future, and its disruption has major consequences for aging and mental health. While external neurostimulation tools show promise in modulating hippocampal activity, effective real-world interventions require individuals to flexibly self-regulate this system. Here, we show, across two real-time fMRI neurofeedback studies (N = 141), that individuals can learn to upregulate hippocampal activity through mental strategies linked to its core functions. Crucially, the effective use of such strategies depended critically on contingent neurofeedback; without valid neurofeedback, these strategies did not predict the capacity for hippocampal upregulation. Subfield analyses revealed the strongest effects in the subiculum, an integrative hub connecting hippocampal processing to broader cognitive and affective networks. Together, these findings suggest that real-time fMRI feedback reinforces the use of self-generated mnemonic strategies to achieve voluntary control over hippocampal activity—a learned form of self-regulation that may enhance everyday memory function and inform interventions for memory-related disorders.
DOI: 10.25592/uhhfdm.18045
title: ChatGPT & me 3.0 Dataset

description: Daten der Umfrage "ChatGPT & me 3.0" über die Lebensrealität mit generativer KI an der Uni Hamburg, Erhebungszeitraum Juli 2025.

In den qualitativen Erhebungsfeldern wurden die Aussagen, die Rückschlüsse auf Einzelpersonen zulassen könnten, mit [XXX] anonymisiert. 

In den beiden Vorjahren wurde diese Erhebung ebenfalls durchgeführt, die Daten sind auch für 2024 hier verfügbar.
DOI: 10.25592/uhhfdm.18044
title: ChatGPT & me 3.0 Dataset

description: Daten der Umfrage "ChatGPT & me 3.0" über die Lebensrealität mit generativer KI an der Uni Hamburg, Erhebungszeitraum Juli 2025.

In den qualitativen Erhebungsfeldern wurden die Aussagen, die Rückschlüsse auf Einzelpersonen zulassen könnten, mit [XXX] anonymisiert. 

In den beiden Vorjahren wurde diese Erhebung ebenfalls durchgeführt, die Daten sind auch für 2024 hier verfügbar.
DOI: 10.15468/dl.j3g3dm
title: Occurrence Download

description: A dataset containing 95026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry MULTIPOLYGON (((-0.4735906 42.05521, -0.4678998 42.05207, -0.4506116 42.04759, -0.4323211 42.04718, -0.4147046 42.05087, -0.3993767 42.05833, -0.3979248 42.05929, -0.3862297 42.0699, -0.379366 42.08264, -0.3783738 42.0924, -0.3778128 42.09406, -0.3780331 42.09576, -0.3779748 42.09633, -0.3782012 42.09705, -0.3791462 42.1043, -0.3784799 42.10437, -0.3785456 42.10472, -0.378685 42.10557, -0.379626 42.10798, -0.3798057 42.10936, -0.3800533 42.11003, -0.3803971 42.10996, -0.3840752 42.1194, -0.3950639 42.13126, -0.4105268 42.13993, -0.4288788 42.14451, -0.4345697 42.14452, -0.4355646 42.14476, -0.4539941 42.14484, -0.4557291 42.14465, -0.4737538 42.14044, -0.4739656 42.14037, -0.4940788 42.12837, -0.4941903 42.12827, -0.4963091 42.1262, -0.4964186 42.12608, -0.5060386 42.11049, -0.5071197 42.09335, -0.5062327 42.08882, -0.5005959 42.07535, -0.4896421 42.06384, -0.4744488 42.05543, -0.4735906 42.05521)))"
 ]
}

 The dataset includes 95026 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009850-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx49a5
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuon alpinus"
 ]
}

 The dataset includes 110 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009905-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.14275
title: Efficient insertion and reoptimization algorithms for a customer-oriented dynamic dial-a-ride problem - instance data

description: This entry contains the used instances for the article "Efficient insertion and reoptimization algorithms for a customer-oriented dynamic dial-a-ride problem". A readme is included for further information about the file format.
DOI: 10.25592/uhhfdm.14276
title: Efficient insertion and reoptimization algorithms for a customer-oriented dynamic dial-a-ride problem - instance data

description: This entry contains the used instances for the article "Efficient insertion and reoptimization algorithms for a customer-oriented dynamic dial-a-ride problem". A readme is included for further information about the file format.
DOI: 10.5281/zenodo.15193086
title: Dataset for paper "The Modification of Air-Sea Fluxes by Sinusoidal Sea Surface Temperature Structures in a Cross-gradient Scenario"

description: This dataset is used to produce figures in the article "The Modification of Air-Sea Fluxes by Sinusoidal Sea Surface Temperature Structures in a Cross-gradient Scenario".

How to use this dataset, and the code to generate the figures are described in https://github.com/meteorologytoday/paper-figures-2024-SST_structures.git

 

Please merge the split paper_data.tar.gz_part_XX before decompression. In Linux, you can do

```

cat paper_data.tar.gz_part_* > paper_data.tar.gz

tar -xzvf paper_data.tar.gz

```
DOI: 10.5281/zenodo.17468743
title: Dataset for paper "The Modification of Air-Sea Fluxes by Sinusoidal Sea Surface Temperature Structures in a Cross-gradient Scenario"

description: This dataset is used to produce figures in the article "The Modification of Air-Sea Fluxes by Sinusoidal Sea Surface Temperature Structures in a Cross-gradient Scenario".

How to use this dataset, and the code to generate the figures are described in https://github.com/meteorologytoday/paper-figures-2024-SST_structures.git

 

Please merge the split paper_data.tar.gz_part_XX before decompression. In Linux, you can do

```

cat paper_data.tar.gz_part_* > paper_data.tar.gz

tar -xzvf paper_data.tar.gz

```
DOI: 10.15468/dl.rnvta6
title: Occurrence Download

description: A dataset containing 85614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spilopelia chinensis"
 ]
}

 The dataset includes 85614 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009886-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17494682
title: Analyzing the response of exchange-correlation potentials of chain-like molecules to electric fields by Kohn-Sham inversion and evaluation of the response within the random phase approximation

description: Data for the article submitted to Journal of Chemical Physics and corresponding Jupyter Notebook to produce all Figures
DOI: 10.5281/zenodo.17494683
title: Analyzing the response of exchange-correlation potentials of chain-like molecules to electric fields by Kohn-Sham inversion and evaluation of the response within the random phase approximation

description: Data for the article submitted to Journal of Chemical Physics and corresponding Jupyter Notebook to produce all Figures
DOI: 10.15468/dl.pbvamh
title: Occurrence Download

description: A dataset containing 361412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.6.8_1",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Animalia",
 "Year 2005-2025"
 ]
}

 The dataset includes 361412 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009896-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pphaez
title: Occurrence Download

description: A dataset containing 8017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionKey is 6a6ac6c5-1b8a-48db-91a2-f8661274ff80",
 "OccurrenceStatus is Present",
 "TaxonKey is Potamogeton"
 ]
}

 The dataset includes 8017 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009906-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/avia_gor_cz
title: Liaisons de transport aérien de fret et de courrier entre les aéroports partenaires et les principaux aéroports de Tchéquie
title: Freight and mail air transport routes between partner airports and main airports in Czechia
title: Flugrouten für Beförderung von Fracht und Post zwischen Partnerflughäfen und den wichtigsten Flughäfen in Tschechien
DOI: 10.2908/avia_par_cz
title: Liaisons de transport aérien de passagers entre les aéroports partenaires et les principaux aéroports de Tchéquie
title: Flugrouten für Fluggastverkehr zwischen Partnerflughäfen und Hauptflughäfen in Tschechien
title: Air passenger transport routes between partner airports and main airports in Czechia
DOI: 10.15468/dl.znvghh
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocalamus asper"
 ]
}

 The dataset includes 471 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009908-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6akza2
title: Occurrence Download

description: A dataset containing 23164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Month is May",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 23164 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009907-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5287/ora-jbxj1jxbm
title: State Government Experimentation dataset (SGE): U.S. State-Led Technology-Based Economic Development (TBED) policies, 2000 – 2015

description: A recent understudied phenomenon has emerged whereby public institutions are collectively taking on an expanded role in technological innovation by offering resource, policy, and infrastructure support even when the trajectories of these technologies are unclear. We term this phenomenon as government experimentation. Scholarship has tended to examine national efforts, yet local governments are in an ideal position to tailor programs to the local market context given their proximity. Nevertheless, we have a limited understanding regarding how local institutions experiment. The aims of this paper are twofold. First, we outline our methodological approach for building a unique dataset that classifies the portfolio of U.S. state government technology-based economic development policies from 2000-2015. We turn to the State Science and Technology Institute as the primary data source. Among the set of 1,659 state-led actions, we classify the context, topic, and lever. Second, we offer descriptive and comparative analysis of this local government experimentation. In considering the spread of each state’s policy portfolio, we highlight four distinct experimental archetypes – hub specialists, public entrepreneurs, industry architects, and ecosystem designers. Finally, we consider theoretical, managerial, policy, and methodological implications that could be derived from our characterization of this phenomenon of local government experimentation.
DOI: 10.15468/dl.c9fffn
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mozambique_Fish_Collections"
 ]
}

 The dataset includes 345 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009909-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17494434
title: Data for Coevolution and temporal dynamics of species interactions shape species coexistence

description: This folder contains all the data and R codes used to reproduce simulations and analyses.


# Project structure




.
└── data_zenodo
    ├── data
    ├── scripts
        ├── functions and secondary scripts
        | numbered scripts
    ├── README.md




The folder "functions and secondary scripts" contains some functions that are called in the main scripts or alternative scripts that have been used while building up the project, for exploration.


# Codes


### Initial conditions


Scripts 1.1 & 1.2 defined initial conditions for theoretical and empirical communities, respectively, to allows the reproducibility of the simulations.


### Simulations under Julia


Script 2 & 2bis are Julia scripts that were used to perform the coevolution simulations, using theoretical and empirical initial conditions, respectively. The ran on a HPC plateform.


### Extracts and plot the results of theoretical simulations


Script 3 extracts community measures from theoretical simulations. The middle part of script 3, was also ran on a HPC plateform to gain time.


Script 4 plots the results, from figure 2 to figure 4. Figure 1 was done in a sepate scripts labelled *Figure1.r*


### Analyse empirical data and simulations with empirical initial conditions (=with empirical network dimensions)


Scripts 5 extracts communitiy measures from empirical networks and from simulations performed with initial empirical network sizes.


Script 6 merges community measures from empirical networks and simulations to do figure 5.


# Empirical data


*flow_pheno_empirical.csv* and *poll_pheno_empirical.csv* contain the empirical phenological parameters for plant and pollinator species, respectively: the mean activity day (mu) and its standard deviation (sde) representing the duration of the activity period.


*matrices_empirical_networks.RData* contains an R object with the 17 networks used. Plants are in rows and pollinators in columns, with each cell representing the average interaction value across sampling rounds, corrected by abundances.


You can access it in R via:




#load data
load("matrices_empirical_networks.RData")

#see the structure (a list of 17 networks)
str(networks)

#access the first network
networks[[1]]
DOI: 10.15468/dl.72qfet
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schistidium atrofuscum"
 ]
}

 The dataset includes 633 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009910-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z9vpk
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "StateProvince is North Dakota",
 "TaxonKey is Grus americana",
 "Year 1000-2025"
 ]
}

 The dataset includes 144 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009912-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.