cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10245164
title: Code to run the analyses of "Forest storm resilience depends on the interplay between functional composition and climate - insights from European-scale simulations" by Barrere et al. (2024).

description: Repository containing the code to run the model and statistical analyses of the paper "Forest storm resilience depends on the interplay between functional composition and climate - insights from European-scale simulations" by Julien Barrere, Björn Reineking, Maxime Jeaunatre and Georges Kunstler, accepted by Functional Ecology in 2024.
 
The code requires prior installation of the matreex R package, developped by Maxime Jeaunatre (INRAE), and of the ```targets``` package. The data folder, required to run the code, can be made available upon request to julienbarrere3@gmail.com
 
Once the packages are installed and the data folder is placer in the main folder, just run ```targets::tar_make()``` from R and the script will download the other packages required and run the analyses.
 
A version of this code is also available in the github repository
DOI: 10.5281/zenodo.10053240
title: Organic electrochemical transistor aptasensor for interleukin-6 detection

description: Explanation of included data for following publication:
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Organic electrochemical transistor aptasensor for interleukin-6 detection
Chiara Diacci (1,2), Bernhard Burtscher (1), Marcello Berto (2), Tero Petri Ruoko (1), Samuel Lienemann (1), Pierpaolo Greco (3,4), Magnus Berggren (1), Marco Borsari (5), Daniel T. Simon (1), Carlo A. Bortolotti (2), Fabio Biscarini (2,4)
 
1) Laboratory of Organic Electronics, Department of Science and Technology, ITN, Linköping University, 601 74, Norrköping, Sweden.
2) Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, via Campi 103, 41125 Modena, Italy.
3) Department of Neuroscience and Rehabilitation, Università di Ferrara, Via  Borsari 46, 44121 Ferrara, Italy.
4) Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, via Fossato di Mortara 17-193, 44100 Ferrara, Italy.
5) Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia, via Campi 103, 41125 Modena, Italy.
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Manuscript
 
Figure 2:

SEM pictures
 
Figure 3:

CV for aptamer deposition (Time, Voltage, Current) in 1µM aptamer solution from 0V to -1V, 50mV/s for 30 cycles
Impedance data for AuNP/PEDOT:PSS electrode (before aptamer deposition) and after aptamer deposition (Aptamer/AuNP/PEDOT:PSS); (Freq/Hz, Re(Z)/Ohm, -Im(Z)/Ohm, |Z|/Ohm, Phase/deg) in ferricyanide 5mM
 
Figure 4: Fluorescent images (LSM, as czi format) for

4a: AuNP/PEDOT:PSS (no Cy3-tag, control)
4b: Cy3-aptamer/AuNP/PEDOT:PSS (sample)
4c: Cy3-aptamer/PEDOT:PSS (no AuNP, control)
 
Figure 5: Data sets of transfer curves for multiple OECTs for various concentrations of IL6/TNF

One sheet refers to one OECT sample with either IL6 or TNF
The first coloumn indicates the gate voltage and the others the drain current with various concentration except the second column (Tween) with is without any analyte
VDS = -0.3V
VGS swept from 0 to 0.6V
 
 
 
Supporting Information:
 
Figure S1: AuNP/PEDOT:PSS electrical characteristics

S1a: CV in 5mM ferricyanide from -0.5V to 0.5V at 50mV/s
S1b: Transconductance for bare Au, PEDOT:PSS in PBS 10mM
S1c: Transfer curves in PBS 10mM
 
Figure S2: FTIR-ATR measurements

Raw exported files from the FTIR (Au+PEDOT, Au+DNA, Au+PEDOT+NP, Au+PEDOT+NP+DNA) as txt file.
For Au+DNA the normalized with the maximum and for the others the 1010cm-1 peak used for normalization. This is shown in the ATR.xlsx file.
 
Figure S3: IL6 detection on AuNP/PEDOT:PSS gate

Transfer Charasteristics of the AuNP/PEDOT:PSS electrode with increasing IL6 concentration with VDS=-0.3V and VGS from 0V to 0.6V
 
Figure S4: Transconductance of OECT based aptasensor

Datasets used for S4 are identical with the ones from Figure 5
 
Figure S5: Impedance of functionalized device with IL6

Each sheet is for a IL6 concentration. The normalized OECT concentration is the same as in Figure 5.
DOI: 10.3886/e183946v1-143401
title: Data and Code for: Control of Decentralized Autonomous Organizations

description: Replication data and code for "Control of Decentralized Autonomous Organizations" Abstract: Blockchain technology has facilitated the emergence of a new type of organizational form, Decentralized Autonomous Organizations (DAOs). In contrast to corporations and other types of business organizations, DAOs do not have managers or directors with formal decision rights. Instead, the members of DAOs collectively make decisions by voting on proposals. The governance process is encoded and executed via smart contracts, negating the need for centralized leadership. We examine the control of DAOs by analyzing 10,639 proposals across 151 DAOs. We find that, rather than democratizing decision-making, a small number, often three or fewer, of entities exert control over most decisions.
DOI: 10.5281/zenodo.10245175
title: ATP Tennis dataset

description: This dataset contains various information about male tennis players in 2020-2023 and is publicly available.
Most of the original data is stored in 3.1_ATP_info.xlsx and can be accessed on the ATP website. On separate sheets, it contains scores like aces, under pressure, breakpoints, etc., for the top players each year. Then, each sheet was preprocessed and converted to csv files.
Additionally, heights_weights.csv contains data with heights and weights of tennis players, and final_rankings_{2020-2023}.csv contains rankings at the end of each corresponding year and, additionally, nationalities and ages of tennis players. However, since the year 2023 has not ended yet, we have little data for it.
Finally, all the data was merged by year in merged_{2020-2023}.csv.
DOI: 10.5281/zenodo.10108666
title: ATP Tennis dataset

description: This dataset contains various information about male tennis players in 2020-2023 and is publicly available.
Most of the original data is stored in 3.1_ATP_info.xlsx and can be accessed on the ATP website. On separate sheets, it contains scores like aces, under pressure, breakpoints, etc., for the top players each year. Then, each sheet was preprocessed and converted to csv files.
Additionally, heights_weights.csv contains data with heights and weights of tennis players, and final_rankings_{2020-2023}.csv contains rankings at the end of each corresponding year and, additionally, nationalities and ages of tennis players. However, since the year 2023 has not ended yet, we have little data for it.
Finally, all the data was merged by year in merged_{2020-2023}.csv.
DOI: 10.5281/zenodo.10108667
title: ATP Tennis dataset

description: This dataset contains various information about male tennis players in 2020-2023 and is publicly available.
Most of the original data is stored in 3.1_ATP_info.xlsx and can be accessed on the ATP website. On separate sheets, it contains scores like aces, under pressure, breakpoints, etc., for the top players each year. Then, each sheet was preprocessed and converted to csv files.
Additionally, heights_weights.csv contains data with heights and weights for tennis players, and final_rankings_{2020-2023}.csv contains rankings at the end of each corresponding year. However, since the year 2023 has not ended yet, we have little data for it.
Finally, all the data was merged by year in merged_{2020-2023}.csv.
DOI: 10.13120/508fecce-d7cd-4af3-a83a-638aca26d101
title: European seas - DIVAnd 4D monthly analysis of Water body ammonium 1960/2020 v2023
title: All Europeans Seas-Water body ammonium-v2023-ANA

description: Water body ammonium - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain. Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m. Units: umol/l. The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
DOI: 10.7910/dvn/lxtgg3
title: Deadly Tango

description: Do Geomagnetic disturbances drive homicide rates in the USA Canada? We all know it takes two to tango, what we did not know was that there were others dancing tango along the same longitude, until the Sun pulled the trigger. Beltrão, Almeida and I recently published an article suggesting Solar storms may drive homicides rates across the Atlantic. Because the geomagnetic impact of solar storms may last only a few hours, it would also be interesting to see what happens in countries with reliable homicide data and on the same longitude, meaning simultaneously exposed to the same solar storms. This is why we chose to compare the homicide rates of the USA and Canada. The importance and disparity in structural factors between Canada and the USA, like values, gun ownership, and income inequality, suggest that USA homicide rates should be higher than Canadian ones, and on average they are over three times higher for the period 1990-2020. Nothing new up to here. What is startling is that between 1990 and 2020 homicide rates in the USA and Canada evolved in tandem, with a correlation of 90%!
DOI: 10.6084/m9.figshare.24598773
title: Codes

description: codes for experiments, models and analysis.
DOI: 10.6084/m9.figshare.24598773.v1
title: Codes

description: codes for experiments, models and analysis.
DOI: 10.5281/zenodo.10245168
title: Training and test data, plus saved models for the upcoming paper `Top-down perceptual inference shaping the activity of early visual cortex'

description: Each .pkl file contains a training or test dataset in the form of a Python dictionary (generated with Python 3.8.5) with the following fields:

'train_images': 640,000 float32 images used for model training. These are 40px images that contain 1600 pixel intensities each.
'train_labels': float32 labels for each image in 'train_images'. All natural images are labeled with 0.0. Texture images are labeled with 0.0, 1,0, 2.0, 3.0, or 4.0, according to their texture family.
'test_images': 64,000 float32 images used for model testing. These are 40px images that contain 1600 pixel intensities each.
'test_labels': float32 labels for each image in 'test_images'. All natural images are labeled with 0.0. Texture images are labeled with 0.0, 1,0, 2.0, 3.0, or 4.0, according to their texture family.
The .zip file contains a saved model snapshot and various intermediate evaluative data. Details on these are coming soon.
DOI: 10.5281/zenodo.10245167
title: Training and test data, plus saved models for the upcoming paper `Top-down perceptual inference shaping the activity of early visual cortex'

description: Each .pkl file contains a training or test dataset in the form of a Python dictionary (generated with Python 3.8.5) with the following fields:

'train_images': 640,000 float32 images used for model training. These are 40px images that contain 1600 pixel intensities each.
'train_labels': float32 labels for each image in 'train_images'. All natural images are labeled with 0.0. Texture images are labeled with 0.0, 1,0, 2.0, 3.0, or 4.0, according to their texture family.
'test_images': 64,000 float32 images used for model testing. These are 40px images that contain 1600 pixel intensities each.
'test_labels': float32 labels for each image in 'test_images'. All natural images are labeled with 0.0. Texture images are labeled with 0.0, 1,0, 2.0, 3.0, or 4.0, according to their texture family.
The .zip file contains a saved model snapshot and various intermediate evaluative data. Details on these are coming soon.
DOI: 10.20387/bonares-85ac-09rt
title: On-the-go gamma spectra for the site “Uckermark-1” from the publication Pätzold et al. 2020, Soil Systems 4, 31

description: The file contains 11,406 datasets. They comprise gamma-ray data (total counts, K-40, U-238, and Th-232, all in Bq), along with co-ordinates from a field survey. The spectra were taken at 0.7 to 1.4 m s-1 at 0.3 m above soil surface with an RSI-700 instrument (two 4.2 L NaI crystals). Further details in the open access publication Pätzold et al. 2020 (https://doi.org/10.3390/soilsystems4020031)
DOI: 10.6084/m9.figshare.24037836.v1
title: Metabolites alteration during ferroptotic process in tumor cells

description: Targeting ferroptosis, an iron-dependent form of regulated cell death triggered by the lethal overload of lipid peroxides, in cancer therapy is impeded by our limited understanding of the intersection of tumour’s metabolic feature and ferroptosis vulnerability. In the presented study, we performed metabolomics for cancer cell lines treated by ferroptosis inducer RSL3 or control DMSO.<br>
DOI: 10.6084/m9.figshare.24710931
title: SGPPI PDB files

description: Alphafold protein structures
DOI: 10.6084/m9.figshare.24710931.v1
title: SGPPI PDB files

description: Alphafold protein structures
DOI: 10.5517/ccdc.csd.cc2hknc3
title: CCDC 2310875: Experimental Crystal Structure Determination

description: Related Article: Kevin Schwitalla, Wing Lee, Marc Schmidtmann, Rüdiger Beckhaus|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hkzxz
title: CCDC 2311202: Experimental Crystal Structure Determination

description: Related Article: Yuning Wang|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24711057
title: Opuntia cohenillifera Chloroplast and Mitochondria genome

description: This is the complete chloroplast genome and mitochondria genome, and 3 chloroplast markers matrix and whole chloroplast CDS(protein coding sequence) matrix among Opuntia species and outgroup.
DOI: 10.6084/m9.figshare.24711057.v1
title: Opuntia cohenillifera Chloroplast and Mitochondria genome

description: This is the complete chloroplast genome and mitochondria genome, and 3 chloroplast markers matrix and whole chloroplast CDS(protein coding sequence) matrix among Opuntia species and outgroup.
DOI: 10.5281/zenodo.8153513
title: WorldFloods extended data set

description: "Global Flood Extent Segmentation in Optical Satellite Images" article data.
This data set is the extended version of the WorldFloods dataset released by Mateo-Garcia et al. (2021). We filtered low-quality floodmaps, extended the period of coverage to include flood events up to 2023, and manually fixed the labels of several flood maps. The resulting dataset has 509 flood extent maps from 144 different flood events.
The flood extent masks were visually inspected, and manually corrected when necessary, in order to provide reliable data to train supervised ML algorithms for flood extent segmentation. Here we provide the floodmaps.zip with vectorized reference masks, containing polygons of flood water, permanent water, clouds, and area of interest for each flood map.
Additionally, the metadatas.zip contains all the necessary information to download corresponding Sentinel-2 images, as well as the location of each flood event and activation code (according to Copernicus EMS, UNOSAT, or GLOFMIR conventions).
Portalés-Julià, E., Mateo-García, G., Purcell, C., & Gómez-Chova, L. Global flood extent segmentation in optical satellite images. Sci Rep 13, 20316 (2023). https://doi.org/10.1038/s41598-023-47595-7
This dataset is released under a Creative Commons non-commercial license (https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt) 
The development of this dataset has been supported by the Spanish Ministry of Science and Innovation project PID2019-109026RB-I00 (MINECO-ERDF MCIN/AEI/10.13039/501100011033).
DOI: 10.5281/zenodo.8153514
title: WorldFloods extended data set

description: "Global Flood Extent Segmentation in Optical Satellite Images" article data.
This data set is the extended version of the WorldFloods dataset released by Mateo-Garcia et al. (2021). We filtered low-quality floodmaps, extended the period of coverage to include flood events up to 2023, and manually fixed the labels of several flood maps. The resulting dataset has 509 flood extent maps from 144 different flood events.
The flood extent masks were visually inspected, and manually corrected when necessary, in order to provide reliable data to train supervised ML algorithms for flood extent segmentation. Here we provide the floodmaps.zip with vectorized reference masks, containing polygons of flood water, permanent water, clouds, and area of interest for each flood map.
Additionally, the metadatas.zip contains all the necessary information to download corresponding Sentinel-2 images, as well as the location of each flood event and activation code (according to Copernicus EMS, UNOSAT, or GLOFMIR conventions).
Portalés-Julià, E., Mateo-García, G., Purcell, C., & Gómez-Chova, L. Global flood extent segmentation in optical satellite images. Sci Rep 13, 20316 (2023). https://doi.org/10.1038/s41598-023-47595-7
This dataset is released under a Creative Commons non-commercial license (https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt) 
The development of this dataset has been supported by the Spanish Ministry of Science and Innovation project PID2019-109026RB-I00 (MINECO-ERDF MCIN/AEI/10.13039/501100011033).
DOI: 10.6084/m9.figshare.24711132
title: Datasets

description: All the datasets of the study.
DOI: 10.6084/m9.figshare.24711132.v1
title: Datasets

description: All the datasets of the study.
DOI: 10.25919/0xty-yx40
title: Parkes observations for project P1219 semester 2023OCTS_06

description: The magnetic field potentially regulates the process of star formation and the evolution of molecular clouds. It is inherently difficult to measure interstellar magnetic field strengths, with the measurement of Zeeman splitting a unique method to estimate the magnetic field strength along the line of sight directly. Despite the detection of Zeeman splitting in other mediums, there are as yet no Zeeman detections against compact background sources in quiescent molecular clouds or the cold neutral medium. Pulsars with extremely small solid angles and relatively high transverse velocities are ideal background sources to study the magnetic field in molecular clouds, providing a distinct signal to measure splitting against. There are four pulsars with OH absorption detections, namely PSR B1849+00, B1641-45, B1718-35, and B1749-28. We propose to utilize these four pulsars to explore the properties of the magnetic field and its variations within molecular clouds through both the Zeeman splitting of OH absorption and rotation measure estimations, between epochs. If a detection is confirmed, it will open a new window on the hard-to-measure magnetic fields in molecular clouds, independent of interpretation, thus shedding light on the physics of star formation and the interstellar medium.
DOI: 10.25919/vc8c-0v03
title: Parkes observations for project P1171 semester 2023OCTS_01

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, to increase our detection chances of possibly associated X-ray emission. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve since all XMM-Newton data will become public a year after the observation.
DOI: 10.20387/bonares-5tpj-cmsz
title: On-the-go gamma spectra for the site “Ahrweiler” from the publication Pätzold et al. 2020, Soil Systems 4, 31

description: The file contains 2,494 datasets. They comprise gamma-ray data (total counts, K-40, U-238, and Th-232, all in Bq), along with co-ordinates from a field survey. The spectra were taken at 0.7 to 1.4 m s-1 at 0.3 m above soil surface with an RSI-700 instrument (two 4.2 L NaI crystals). Further details in the open access publication Pätzold et al. 2020 (https://doi.org/10.3390/soilsystems4020031)