cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bywxb7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stylosanthes rostrata"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007804-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17711913
title: Off-Grid Cloud Data Center Renewable Forecasting Dataset

description: This dataset provides high-resolution, real-time operational measurements collected from an off-grid, renewable-powered cloud data-center environment operating between 3 February 2022 and 3 July 2025, recorded at a 10-minute temporal resolution. It captures the environmental, electrical, thermal, and ICT workload characteristics that jointly influence renewable energy generation, storage behavior, and sustainable data-center operations. The dataset was developed and maintained by the National University Hospital Energy Innovation Center (NUHEIC), Oslo, Norway, as part of its ongoing initiatives to support research in renewable-powered computing infrastructures and resilient microgrid architectures.

The environmental telemetry includes global, direct, and diffuse solar irradiance (GHI/DNI/DHI), ambient temperature, humidity, atmospheric pressure, precipitation, aerosol optical depth (AOD), cloud coverage, and wind measurements at 10 m and 100 m heights. These measurements capture fast-changing meteorological conditions affecting solar and wind availability.

The dataset also provides detailed photovoltaic (PV) information, including DC and AC power generation, module temperature, inverter efficiency, tilt and azimuth configuration, and curtailment signals. The wind-generation block contains turbine-level power output derived from wind–power characteristics relevant to microgrid energy balancing.

Battery storage telemetry records state-of-charge (SOC), state-of-health (SOH), battery temperature, charge/discharge power, and storage efficiency, enabling analysis of charge cycles, thermal stability, and long-term degradation.

Data-center operational measurements include IT load, total system load, CPU and GPU utilization, memory utilization, cooling power consumption, PUE, inlet/outlet temperature, and fan speed. These parameters quantify how renewable fluctuations interact with computational demand, thermal behavior, and cooling strategies.

Additionally, several derived indicators are included for advanced analytics and forecasting:





NEB (Net Energy Balance),




REAF (Renewable Energy Availability Forecast target),




SGF/WGF (Solar/Wind Generation forecasting targets),




SOC-F (battery charge-level forecasting target),




EEIF (Energy Efficiency Indicator),




RAC (Renewable Adequacy Class: Low, Medium, High),




SOW (Sustainability-of-Workload binary label).
DOI: 10.5281/zenodo.17711914
title: Off-Grid Cloud Data Center Renewable Forecasting Dataset

description: This dataset provides high-resolution, real-time operational measurements collected from an off-grid, renewable-powered cloud data-center environment operating between 3 February 2022 and 3 July 2025, recorded at a 10-minute temporal resolution. It captures the environmental, electrical, thermal, and ICT workload characteristics that jointly influence renewable energy generation, storage behavior, and sustainable data-center operations. The dataset was developed and maintained by the National University Hospital Energy Innovation Center (NUHEIC), Oslo, Norway, as part of its ongoing initiatives to support research in renewable-powered computing infrastructures and resilient microgrid architectures.

The environmental telemetry includes global, direct, and diffuse solar irradiance (GHI/DNI/DHI), ambient temperature, humidity, atmospheric pressure, precipitation, aerosol optical depth (AOD), cloud coverage, and wind measurements at 10 m and 100 m heights. These measurements capture fast-changing meteorological conditions affecting solar and wind availability.

The dataset also provides detailed photovoltaic (PV) information, including DC and AC power generation, module temperature, inverter efficiency, tilt and azimuth configuration, and curtailment signals. The wind-generation block contains turbine-level power output derived from wind–power characteristics relevant to microgrid energy balancing.

Battery storage telemetry records state-of-charge (SOC), state-of-health (SOH), battery temperature, charge/discharge power, and storage efficiency, enabling analysis of charge cycles, thermal stability, and long-term degradation.

Data-center operational measurements include IT load, total system load, CPU and GPU utilization, memory utilization, cooling power consumption, PUE, inlet/outlet temperature, and fan speed. These parameters quantify how renewable fluctuations interact with computational demand, thermal behavior, and cooling strategies.

Additionally, several derived indicators are included for advanced analytics and forecasting:





NEB (Net Energy Balance),




REAF (Renewable Energy Availability Forecast target),




SGF/WGF (Solar/Wind Generation forecasting targets),




SOC-F (battery charge-level forecasting target),




EEIF (Energy Efficiency Indicator),




RAC (Renewable Adequacy Class: Low, Medium, High),




SOW (Sustainability-of-Workload binary label).
DOI: 10.5281/zenodo.17712068
title: Primary Studies

description: Primary studies selected for the Survey on Generative AI for Testing Autonomous Driving Systems and their meta-information
DOI: 10.5281/zenodo.17712069
title: Primary Studies

description: Primary studies selected for the Survey on Generative AI for Testing Autonomous Driving Systems and their meta-information
DOI: 10.15468/dl.p2pvv9
title: Occurrence Download

description: A dataset containing 1060490 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is a41250f0-7c3e-11d8-a19c-b8a03c50a862"
 ]
}

 The dataset includes 1060490 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007783-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17098314
title: CSRefiner: A lightweight framework for fine-tuning cell segmentation models with small datasets

description: This dataset release includes two demonstration collections from mouse brain tissue sections generated with the STOmics Stereo-seq platform: FFPE DAPI-stained sections and fresh frozen H&E-stained sections, and a dataset of fresh frozen H&E-stained mouse lung slices from a 10x VisiumHD platform. Each dataset contains whole-slide images, cell-level expression matrices, and manually curated annotations. These resources were produced for the CSRefiner study, a lightweight framework for fine-tuning cell segmentation models with small datasets. They are intended to support benchmarking, method development, and downstream analysis in spatial transcriptomics.
DOI: 10.5281/zenodo.17710903
title: CSRefiner: A lightweight framework for fine-tuning cell segmentation models with small datasets

description: This dataset release includes two demonstration collections from mouse brain tissue sections generated with the STOmics Stereo-seq platform: FFPE DAPI-stained sections and fresh frozen H&E-stained sections, and a dataset of fresh frozen H&E-stained mouse lung slices from a 10x VisiumHD platform. Each dataset contains whole-slide images, cell-level expression matrices, and manually curated annotations. These resources were produced for the CSRefiner study, a lightweight framework for fine-tuning cell segmentation models with small datasets. They are intended to support benchmarking, method development, and downstream analysis in spatial transcriptomics.
DOI: 10.5281/zenodo.17711857
title: Fish supporting infomation

description: this data contain supporting information about fish study
DOI: 10.5281/zenodo.17711856
title: Fish supporting infomation

description: this data contain supporting information about fish study
DOI: 10.15468/dl.z755b4
title: Occurrence Download

description: A dataset containing 733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phytophthora ramorum"
 ]
}

 The dataset includes 733 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007806-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yevs2y
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.96626 5.92499,94.29736 4.90197,95.6745 3.80026,97.62217 2.12802,99.23538 -0.40985,102.08803 -4.61996,104.27178 -6.80371,105.8063 -6.23318,107.20312 -2.65262,105.23577 -0.7443,103.99635 0.49512,102.36346 1.28206,100.2584 3.13136,97.18935 5.96433,94.96626 5.92499))",
 "TaxonKey is Myristica"
 ]
}

 The dataset includes 243 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007807-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17708464
title: Handheld Fourier-transform infrared spectroscopy as a portable tool for tree health

description: This dataset contains FT-IR spectral data and trained machine-learning models used to evaluate handheld mid-infrared spectroscopy for phenotyping Pinus sylvestris and Fraxinus excelsior. It includes pre-processed spectra, metadata, and the sPLS-DA and SVM models used in the manuscript analyses. These files allow full reproduction of classification results and enable independent testing of handheld FT-IR for forest-health applications.

This repository contains all data and trained model objects associated with the manuscript:

“Handheld FT-IR spectroscopy for rapid phenotyping of forest trees: evaluating infection status and genotypic variation in Pinus sylvestris and Fraxinus excelsior.”

The deposit includes:

1. Raw and processed FT-IR spectral data





Pine_FTIR_avr_2der_TRIM.csv – averaged and pre-processed mid-infrared spectra for Pinus sylvestris needles and stem phloem at 0, 14, and 21 days post inoculation with Diplodia sapinea.




Ash_FTIR_avr_2der_TRIM.csv – averaged and pre-processed spectra for Fraxinus excelsior leaf, shoot, and stem tissues from multiple genotypes and field sites.



Each file contains:





Sample metadata (tree ID, genotype, tissue type, location, inoculation status/date)




Wavenumber-intensity values (trimmed and 2nd-derivative transformed)



These datasets correspond exactly to the versions analyzed in the manuscript.

2. Trained machine-learning model files (“model weights”), stored as .rds objects (R’s native serialized format) for full reproducibility.

3. Minimal scripts for model testing (see readme file).
DOI: 10.5281/zenodo.17708463
title: Handheld Fourier-transform infrared spectroscopy as a portable tool for tree health

description: This dataset contains FT-IR spectral data and trained machine-learning models used to evaluate handheld mid-infrared spectroscopy for phenotyping Pinus sylvestris and Fraxinus excelsior. It includes pre-processed spectra, metadata, and the sPLS-DA and SVM models used in the manuscript analyses. These files allow full reproduction of classification results and enable independent testing of handheld FT-IR for forest-health applications.

This repository contains all data and trained model objects associated with the manuscript:

“Handheld FT-IR spectroscopy for rapid phenotyping of forest trees: evaluating infection status and genotypic variation in Pinus sylvestris and Fraxinus excelsior.”

The deposit includes:

1. Raw and processed FT-IR spectral data





Pine_FTIR_avr_2der_TRIM.csv – averaged and pre-processed mid-infrared spectra for Pinus sylvestris needles and stem phloem at 0, 14, and 21 days post inoculation with Diplodia sapinea.




Ash_FTIR_avr_2der_TRIM.csv – averaged and pre-processed spectra for Fraxinus excelsior leaf, shoot, and stem tissues from multiple genotypes and field sites.



Each file contains:





Sample metadata (tree ID, genotype, tissue type, location, inoculation status/date)




Wavenumber-intensity values (trimmed and 2nd-derivative transformed)



These datasets correspond exactly to the versions analyzed in the manuscript.

2. Trained machine-learning model files (“model weights”), stored as .rds objects (R’s native serialized format) for full reproducibility.

3. Minimal scripts for model testing (see readme file).
DOI: 10.15468/dl.39f96b
title: Occurrence Download

description: A dataset containing 67207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is one of (USA.14_1, USA.50_1, USA.24_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus",
 "Year 2014-2024"
 ]
}

 The dataset includes 67207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007782-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/w5489
title: Effect of multimodal cognitive intervention in older adults with mild cognitive impairment: a meta-analysis of randomized controlled trials

description: The aim of this review is to evaluate the efficacy of multimodal cognitive intervention on cognitive and behavioural
outcomes in older adults with mild cognitive impairment (MCI). For that, this review will specifically try to:
1) What are the effects of a multimodal cognitive interventional program in older adults with MCI?
2) Is there any significant effect on combining behavioral outcomes (late-life depression, cognition, memory) from
randomized controlled trials of multimodal cognitive intervention in people with MCI?
3) Is there any effect of potential moderators across studies?
DOI: 10.15468/dl.7zumsj
title: Occurrence Download

description: A dataset containing 107372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "DatasetKey is one of (Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium, Observations.be - Non-native species occurrences in Wallonia, Belgium)",
 "TaxonKey is Psittacula krameri"
 ]
}

 The dataset includes 107372 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007790-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17712059
title: Акустична характеристика голосних (до АТЛАСУ голосних алофонів українського мовлення)
DOI: 10.5281/zenodo.17712058
title: Акустична характеристика голосних (до АТЛАСУ голосних алофонів українського мовлення)
DOI: 10.14470/mj7565224230
title: The Jutland-to-Lower-Saxony (JULS) profile

description: This project investigates the crust and upper mantle along a north-south oriented, about 350 km long profile from around the town of Ringkøbing in western Jutland to south of Hamburg in northwestern Germany, with a focus on teleseismic receiver functions and seismic tomography. A number of tectonic processes have affected the crust and uppermost mantle beneath southern Scandinavia and northern Germany: Precambrian crustal accretion in southern Baltica, Caledonian collision between Baltica and Avalonia along the Tornquist Suture Zone (TSZ), followed by Variscan collision and formation of the North German and the Norwegian-Danish basins, and more recent magmatic activity to the south. This study is particularly focused on the closure of the Tornquist Sea and the Caledonian collision between Baltica and Avalonia. A total of 29 stations, provided by GFZ and the University of Aarhus, were deployed between autumn 2010 and summer 2012, of which 25 form the main profile, and 4 are positioned in an off-line location. Waveform data are available from the GEOFON data centre, under network code ZW, and are available under CC-BY 4.0 license according to GIPP-rules.
DOI: 10.14470/1t7562235078
title: Dataset of the 6G seismic network at Los Humeros, 2017-2018

description: Extensive passive seismic monitoring was carried out between September 2017 and September 2018 over the Los Humeros geothermal field in Mexico. This experiment, in addition to several geophysical, geological, and geochemical surveys was conducted in the framework of the European H2020 and Mexican CONACyT-SENER project GEMex for a better understanding of the structures and behavior of the local geothermal system currently under exploitation, and for investigating future development areas. 25 broadband stations (22 Trillium C-120s and 3 Trillium C-20 PH) recording at 200 Hz, and 20 short period stations (Mark L-4C-3D) recording at 100 Hz comprised the network which is sub-divided into two sub-networks. An inner and denser (~1.6-2 km inter-station distance) pseudo-rhomboidal array (27 stations) was laid out to cover the producing zone and retrieve local seismicity mainly associated to injection and production operations, and to comply with beamforming of ambient noise and time reverse imaging techniques. An outer and sparser (~5 km minimum spacing) array was placed at around 30 km radius surrounding the inner network, and was mainly dedicated to larger scale imaging techniques, such as seismic ambient noise tomography, and regional earthquakes tomography. The GEMex project is supported by the European Union’s Horizon 2020 programme for Research and Innovation under grant agreement No 727550 and the Mexican Energy Sustainability Fund CONACYT-SENER, project 2015-04-68074. Waveform data are available from the GEOFON data centre, under network code 6G.
DOI: 10.26008/1912/bco-dmo.988549.1
title: Specific activities of dissolved radon-222 collected from underway samples during STING II cruise EN704 on R/V Endeavor in the Gulf of Mexico in Jul 2023

description: This dataset includes the specific activities of dissolved radon-222 collected from underway samples during STING II cruise EN704 on R/V Endeavor in the Gulf of Mexico from July 5th to July 12th, 2023. Additional data collected from grab samples during STING I and STING II are provided in the related dataset.

This project investigates how boundary sources, including rivers and submarine groundwater discharge, deliver important nutrients and metals to the coastal ecosystems of the West Florida Shelf. Here, dissolved radon-222 has been measured to trace boundary sources of nutrients and metals entering the West Florida Shelf, including submarine groundwater discharge.
DOI: 10.14470/6g7569676919
title: TOMO-ETNA

description: The TOMO-ETNA experiment was focused on the base of generation and acquisition of seismic signal (active and passive) at Mt. Etna volcano and surrounding area. The terrestrial campaign consists in the deployment of 80 short-period three-component seismic stations (June 15 to July24), 17 Broadband seismometers (June 15 to October 30) provided by Helmholtz Centre Potsdam (GFZ) German Research Centre for Geosciences using the German Geophysical Instrument Pool Potsdam (GIPP Gerätepool Geophysik), and the coordination with 133 permanent seismic station belonging to the “Istituto Nazionale di Geofisica e Vulcanologia” (INGV) of Italy. This temporary seismic network recorded active and passive seismic sources. Active seismic sources were generated by an array of air-guns mounted in the Spanish Oceanographic vessel “Sarmiento de Gamboa” with a power capacity of up to 5.200 cubic inches. In total more than 26.000 shots were fired and more than 450 local and regional earthquakes were recorded. Until July the Oceanographic Vessel “Sarmiento de Gamboa” and the hydrographic vessel “Galatea” were responsible for the offshore activities, that included deployment of OBSs, and several marine activities. The vessel “Aegaeo” performed additional seismic, magnetic and gravimetric experiments until the end of November 2014. This experiment was part of the “Task 5.3 - Mt. Etna structure” of the “EU MED-SUV Project” concerned with the investigation of Mt. Etna volcano (seismic tomography experiment - TOMO-ETNA) by means of passive and active refraction/reflection seismic methods. It focused on the investigation of Etna’s roots and surrounding areas by means of passive and active seismic methods. Therefore, this experiment included activities both on-land and offshore with the main objective to obtain a new high-resolution tomography in order to improve the 3D image of the crustal structures existing beneath the Etna volcano and the northeast Sicily (Peloritani - Nebrodi chain) up to the Aeolian Islands. Waveform data are open and available from the GEOFON data centre, under network code 1T.
DOI: 10.14470/2n7564774946
title: Multi-scale imaging of the Main Pamir Thrust faults within the framework of CaTeNA project – Climatic and Tectonic Natural Hazards in Central Asia

description: We propose to investigate the structure and evolution of the Main Pamir Thrust (MPT) with a high-density seismological array. The MPT, with its surface expression along the east-west trending Alai Valley, marks the northern boundary of the Pamir. The Alai Valley, separating the Pamir and the Tien Shan, constitutes the last vestige of a formerly continuous basin that linked the Tarim and the Tajik Basins. The MPT manifests itself as a place of high seismic activity with frequently occurred disastrous earthquakes. The array is about 50 km long, consisted of 90 three-component geophones (stations G?? and C??) and 10 Trillium-Compact seismometers (stations T??), and equipped with 100 CUBE dataloggers. We will construct a high-resolution receiver function profile to image the MPT and accurately locate the local earthquakes associated with the MPT. Funded by BMBF, within the framework of CaTeNA project – Climatic and Tectonic Natural Hazards in Central Asia. Waveform data are available from the GEOFON data centre, under network code 7A.
DOI: 10.5281/zenodo.17711581
title: Dataset to the article: Multiproxy evidence of millet reliance and selective dietary change during iron age transformation in Central Europe

description: Dataset to the article Multiproxy evidence of millet reliance and selective dietary change during iron age transformation in Central Europe.  

This publication was supported by the Ministry of Education and Sport of the Czech Republic and European Union (MEYS and EU), RESHUM project ‘Ready for the future: understanding longterm resilience of the human culture’, Reg. no. CZ.02.01.01/00/22_008/0004593.
DOI: 10.5281/zenodo.17711580
title: Dataset to the article: Multiproxy evidence of millet reliance and selective dietary change during iron age transformation in Central Europe

description: Dataset to the article Multiproxy evidence of millet reliance and selective dietary change during iron age transformation in Central Europe.  

This publication was supported by the Ministry of Education and Sport of the Czech Republic and European Union (MEYS and EU), RESHUM project ‘Ready for the future: understanding longterm resilience of the human culture’, Reg. no. CZ.02.01.01/00/22_008/0004593.