cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10245386
title: Distributed Multi-objective Optimization in Cyber-Physical Energy Systems

description: The data includes results for a distributed multi-objective optimization in Cyber-Physical Energy Systems. The respective implementation for the scenarios can be found here: https://github.com/Digitalized-Energy-Systems/MOO-CPES/releases/tag/Distributed_Multi-objective_Optimization_in_Cyber-Physical_Energy_SystemsIn this case, a multi-agent system exists for the optimization in which agents represent chp units or wind plants. For the optimization using the agents, the agents have to fulfill a target schedule, with contains of the sum of all unit schedules. Regarding the target schedule, three objectives are considered: minimizing the difference between theproduced power in sum and the given target schedule, minimizing the emissions and minimizing the uncertainties.
DOI: 10.5281/zenodo.10245786
title: Distributed Multi-objective Optimization in Cyber-Physical Energy Systems

description: The data includes results for a distributed multi-objective optimization in Cyber-Physical Energy Systems. The respective implementation for the scenarios can be found here: https://github.com/Digitalized-Energy-Systems/MOO-CPES/releases/tag/Distributed_Multi-objective_Optimization_in_Cyber-Physical_Energy_SystemsIn this case, a multi-agent system exists for the optimization in which agents represent chp units or wind plants. For the optimization using the agents, the agents have to fulfill a target schedule, with contains of the sum of all unit schedules. Regarding the target schedule, three objectives are considered: minimizing the difference between theproduced power in sum and the given target schedule, minimizing the emissions and minimizing the uncertainties.
DOI: 10.5281/zenodo.7623897
title: BK Channels activation by N-type Ca2+ channels in the dendrites of neocortical pyramidal neurons

description: This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron dendrites in brain slices of the mouse.
Somatic electrophysiological and dendritic imaging recordings were done at 20 kHz. Imaging recordings were done with ~2.5 µm nm pixel resolution. These correspond to:

Voltage imaging (Figures 1 and 7)
Calcium imaging (Figures 2,3 and 4).
This dataset is used in the paper:
Blömer LA, Giacalone E, Abbas F, Filipis L, Migliore M, Canepari M. Kinetics and functional consequences of BK Channels activation by N-type Ca2+ channels in the dendrite of mouse neocortical layer-5 pyramidal neurons. bioRxiv, 2023 (https://www.biorxiv.org/content/10.1101/2023.10.26.564136v1).
DOI: 10.5281/zenodo.7623898
title: BK Channels activation by N-type Ca2+ channels in the dendrites of neocortical pyramidal neurons

description: This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron dendrites in brain slices of the mouse.
Somatic electrophysiological and dendritic imaging recordings were done at 20 kHz. Imaging recordings were done with ~2.5 µm nm pixel resolution. These correspond to:

Voltage imaging (Figures 1 and 7)
Calcium imaging (Figures 2,3 and 4).
This dataset is used in the paper:
Blömer LA, Giacalone E, Abbas F, Filipis L, Migliore M, Canepari M. Kinetics and functional consequences of BK Channels activation by N-type Ca2+ channels in the dendrite of mouse neocortical layer-5 pyramidal neurons. bioRxiv, 2023 (https://www.biorxiv.org/content/10.1101/2023.10.26.564136v1).
DOI: 10.34740/kaggle/dsv/7098361
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.60897/zugspitze_v01_lidar
title: NDACC stratospheric aerosol LIDAR data from the station Schneefernerhaus on Mt. Zugspitze

description: The Zugspitze aerosol lidar measures upper tropospheric and stratospheric aerosol profiles from about 3.7 km to 45 km - 50 km altitude (by elastic backscatter). The stratospheric aerosol load is calculated by integration from the tropopause level + 1 km to the upper end of the range. Since March 2016 the measurements have been carried out at the Schneefernerhaus research station on Mt. Zugspitze (2675m a.s.l.) and takes over the former measurement series from Garmisch-Partenkirchen. See https://www-air.larc.nasa.gov/pub/NDACC/PUBLIC/stations/garmisch/ames/lidar/
DOI: 10.34740/kaggle/dsv/7098372
title: High School Alcoholism and Academic Performance
DOI: 10.5281/zenodo.6421014
title: EWINA_RICH : a database of EarthWorm native and alien species richness In North America

description: <strong>EWINA_RICH</strong> gathers data on observed and predicted native and alien species richness of earthworms species across geographical units of North America (Mexico, US and Canada), based on data from 1850 to 2021. Please refer to [REF pub to update] for the details about the process to produce the predictions and the general interpretation of the results. Data are given at two spatial resolutions <strong>Data at resolution of counties or equivalent</strong> EWINA_counties.geojson: Spatial layer of all counties or alike geographical units, with environmental covariates. Used to map geographical units and to predict RASR. EWINA_2000_counties_obs.csv: Observed earthworm species richness and RASR (Relative Alien Species Richness) in the geographical units with earthworm data, since year 2000, together with the environmtal covariates. Used to fit the model. Use the GEOID field to merge with the spatial layer. EWINA_2000_counties_pred.csv: Predicted earthworm RASR (Relative Alien Species Richness) and its uncertainty, in all counties or equivalent, based on a model fitted on data after the year 2000. Use the GEOID field to merge with the spatial layer. <strong>Data at resolution of TDWG4 geographical units</strong> see the Biodiversity Information Facility Website for more info about the definition of the geographical units EWINA_TDWG4_aboveground.geojson: Spatial layers of TDWG4 geographical units, with above ground alien taxa richness from Dawson 2017 https://doi.org/10.1038/s41559-017-0186 EWINA_TDWG4_earthworms.csv: Observed earthworm native and exotic species richness in the TDWG4 units, data cumulated from 1850 to 2021. All data files are provided with a readme file, with the suffix "_variables", that explains the meaning of the variables
DOI: 10.5281/zenodo.6421013
title: EWINA_RICH : a database of EarthWorm native and alien species richness accross North America

description: EWINA_RICH gathers data on observed and predicted native and alien species richness of earthworms species across geographical units of North America (Mexico, US and Canada), based on data from 1850 to 2021.
Please refer to the published paper for the details about the process to produce the predictions and the general interpretation of the results.
Data are given at two distinct spatial resolutions

- Data at the resolution of counties or equivalent

EWINA_counties.geojson: Spatial layer of all counties or alike geographical units, with environmental covariates. Used to map geographical units and to predict RASR.
EWINA_2000_counties_obs.csv: Observed earthworm species richness and RASR (Relative Alien Species Richness) in the geographical units with earthworm data, since year 2000, together with the environmtal covariates.(Coverage based estimates, used in the paper, will be released soon, feel free to reach out if you need them).
EWINA_2000_counties_pred.csv: Predicted earthworm RASR (Relative Alien Species Richness) and its uncertainty,  in all counties or equivalent, based on a model fitted on data after the year 2000.
- Data at the resolution of  TDWG4 geographical units (≈ states)
see the Biodiversity Information Facility Website for more info about the definition of TDWG4 geographical units

EWINA_TDWG4_aboveground.geojson: Spatial layer of TDWG4 geographical units, with above ground alien taxa richness from Dawson 2017 https://doi.org/10.1038/s41559-017-0186.
EWINA_TDWG4_earthworms_YYYY.csv: Observed earthworm native and exotic species richness in the TDWG4 units, data cumulated from 1850 to YYYY.
EWINA_TDWG4_fun.csv: Observed native and alien earthworm species functionnal role in the TDWG4 units, data cumulated from 1850 to 2021.
All data files are provided with a readme file that explains the meaning of the variables.
Scripts to use the data are stored on GitHub: https://github.com/JeromeMathieuEcology/GlobalWorming
DOI: 10.5281/zenodo.6728385
title: EWINA_RICH : a database of EarthWorm native and alien species richness accross North America

description: EWINA_RICH gathers data on observed and predicted native and alien species richness of earthworms species across geographical units of North America (Mexico, US and Canada), based on data from 1850 to 2021.
Please refer to the published paper for the details about the process to produce the predictions and the general interpretation of the results.
Data are given at two distinct spatial resolutions

- Data at the resolution of counties or equivalent

EWINA_counties.geojson: Spatial layer of all counties or alike geographical units, with environmental covariates. Used to map geographical units and to predict RASR.
EWINA_2000_counties_obs.csv: Observed earthworm species richness and RASR (Relative Alien Species Richness) in the geographical units with earthworm data, since year 2000, together with the environmtal covariates.(Coverage based estimates, used in the paper, will be released soon, feel free to reach out if you need them).
EWINA_2000_counties_pred.csv: Predicted earthworm RASR (Relative Alien Species Richness) and its uncertainty,  in all counties or equivalent, based on a model fitted on data after the year 2000.
- Data at the resolution of  TDWG4 geographical units (≈ states)
see the Biodiversity Information Facility Website for more info about the definition of TDWG4 geographical units

EWINA_TDWG4_aboveground.geojson: Spatial layer of TDWG4 geographical units, with above ground alien taxa richness from Dawson 2017 https://doi.org/10.1038/s41559-017-0186.
EWINA_TDWG4_earthworms_YYYY.csv: Observed earthworm native and exotic species richness in the TDWG4 units, data cumulated from 1850 to YYYY.
EWINA_TDWG4_fun.csv: Observed native and alien earthworm species functionnal role in the TDWG4 units, data cumulated from 1850 to 2021.
All data files are provided with a readme file that explains the meaning of the variables.
Scripts to use the data are stored on GitHub: https://github.com/JeromeMathieuEcology/GlobalWorming
DOI: 10.6084/m9.figshare.24711534
title: <b>Breeding system and pollination ecology of an endangered desert shrub endemic to northwestern China</b>

description: The breeding system and pollination ecology of <i>Tamarix taklamakanensis</i>, an endangered shrub occurring in sand dunes in the Taklamakan Desert, were examined by seven pollination treatments and observational studies in natural populations in 2019.
DOI: 10.18712/nsd-nsd3147-v1
title: Living conditions among adults with ADHD

description: On assignment from ADHD Norway a survey has been conducted researching the living conditions of adults with ADHD. The survey examines their perceptions of their own health and experience with the health care system, as well as accommodations within education and the workspace.
DOI: 10.20375/0000-0011-0e30-8
title: Discuss Data_File 1_Naturalizations 1992-2023.xlsx
DOI: 10.20375/0000-0011-0e31-7
title: Discuss Data_File 2_Monthly naturalizations 2016-2023.xlsx
DOI: 10.20375/0000-0011-0e32-6
title: Discuss Data_File 3_Naturalizations per quarter_total and of Ukrainians 2016-2023.xlsx
DOI: 10.20375/0000-0011-0e33-5
title: Discuss Data_File 4_Regional breakdown of naturalizations per quarter 2016-2023.xlsx
DOI: 10.20375/0000-0011-0e34-4
title: Discuss Data_File 5_Issued domestic and foreign passports per month 2016-2023.xlsx
DOI: 10.20375/0000-0011-0e35-3
title: Discuss Data_MVD naturalization_all spreadsheets.zip
DOI: 10.20375/0000-0011-0e36-2
title: Discuss Data_The Four Modi of Russia’s Forced Naturalization of Ukrainians.docx
DOI: 10.48320/fe07bfe1-e1e5-4700-b926-932b94af2cc9
title: The Four Modi of Russia’s Forced Naturalization of Ukrainians
DOI: 10.6084/m9.figshare.24002583
title: Additional Data for 'Corals and Sponges are Hotspots of Reactive Oxygen Species in the Deep Sea'

description: Supporting datafiles providing the genomic and transcriptomic data used to produce a maximum likelihood phylogenetic tree of NOX-like genes in corals and sponges.
DOI: 10.5281/zenodo.10103000
title: Dataset: Evaluating permafrost definitions for global permafrost area estimates in CMIP6 climate models

description: This dataset corresponds to the following publication:Steinert, N., J., et al. 2023: Evaluating permafrost definitions for global permafrost area estimates in CMIP6 climate models, Environmental Research Letters, 10.1088/1748-9326/ad10d7https://iopscience.iop.org/article/10.1088/1748-9326/ad10d7
Global permafrost regions are undergoing significant changes due to global warming, whose assessments often rely on permafrost extent estimates derived from climate model simulations. These assessments employ a range of definitions for the presence of permafrost, leading to inconsistencies in the calculation of permafrost area. This dataset contains permafrost area calculations using 10 different definitions for detecting permafrost presence based on either ground thermodynamics, soil hydrology, or air-ground coupling from an ensemble of 32 Earth System Models.
This dataset includes two file archives:1. 32 CMIP6 models, 10 permafrost definitions, historical period (1850-2014), annual data2. 32 CMIP6 models, 10 permafrost definitions, SSP5-85 period (2015-2100), annual data
This dataset represents source data for the following publication. Please refer to this reference for a more detailed description of the definitions used in this dataset:Steinert, N., J., et al. 2023: Evaluating permafrost definitions for global permafrost area estimates in CMIP6 climate models, https://iopscience.iop.org/article/10.1088/1748-9326/ad10d7
The results show that variations between permafrost-presence definitions result in substantial differences of up to 18 million km2, where any given model could both over- or underestimate the present-day permafrost area. Ground-thermodynamic-based definitions are, on average, comparable with observations but are subject to a large inter-model spread. The associated uncertainty of permafrost area estimates is reduced in definitions based on ground-air coupling. However, their representation of permafrost area strongly depends on how each model represents the ground-air coupling processes. The definition-based spread in permafrost area can affect estimates of permafrost-related impacts and feedbacks, such as quantifying permafrost carbon changes. For instance, the definition spread in permafrost area estimates can lead to differences in simulated permafrost-area soil carbon changes of up to 28%. This dataset therefore supports an emphasis on the importance of consistent and well-justified permafrost-presence definitions for robust projections and accurate assessments of permafrost from climate model outputs.
For any questions regarding the dataset, please free feel to contact Norman J. Steinert (nste@norceresearch.no, normanst@ucm.es)
DOI: 10.5281/zenodo.10103001
title: Dataset: Evaluating permafrost definitions for global permafrost area estimates in CMIP6 climate models

description: This dataset corresponds to the following publication:Steinert, N., J., et al. 2023: Evaluating permafrost definitions for global permafrost area estimates in CMIP6 climate models, Environmental Research Letters, 10.1088/1748-9326/ad10d7https://iopscience.iop.org/article/10.1088/1748-9326/ad10d7
Global permafrost regions are undergoing significant changes due to global warming, whose assessments often rely on permafrost extent estimates derived from climate model simulations. These assessments employ a range of definitions for the presence of permafrost, leading to inconsistencies in the calculation of permafrost area. This dataset contains permafrost area calculations using 10 different definitions for detecting permafrost presence based on either ground thermodynamics, soil hydrology, or air-ground coupling from an ensemble of 32 Earth System Models.
This dataset includes two file archives:1. 32 CMIP6 models, 10 permafrost definitions, historical period (1850-2014), annual data2. 32 CMIP6 models, 10 permafrost definitions, SSP5-85 period (2015-2100), annual data
This dataset represents source data for the following publication. Please refer to this reference for a more detailed description of the definitions used in this dataset:Steinert, N., J., et al. 2023: Evaluating permafrost definitions for global permafrost area estimates in CMIP6 climate models, https://iopscience.iop.org/article/10.1088/1748-9326/ad10d7
The results show that variations between permafrost-presence definitions result in substantial differences of up to 18 million km2, where any given model could both over- or underestimate the present-day permafrost area. Ground-thermodynamic-based definitions are, on average, comparable with observations but are subject to a large inter-model spread. The associated uncertainty of permafrost area estimates is reduced in definitions based on ground-air coupling. However, their representation of permafrost area strongly depends on how each model represents the ground-air coupling processes. The definition-based spread in permafrost area can affect estimates of permafrost-related impacts and feedbacks, such as quantifying permafrost carbon changes. For instance, the definition spread in permafrost area estimates can lead to differences in simulated permafrost-area soil carbon changes of up to 28%. This dataset therefore supports an emphasis on the importance of consistent and well-justified permafrost-presence definitions for robust projections and accurate assessments of permafrost from climate model outputs.
For any questions regarding the dataset, please free feel to contact Norman J. Steinert (nste@norceresearch.no, normanst@ucm.es)
DOI: 10.6084/m9.figshare.24711294
title: Liftoff output

description: This is the final output of the liftoff algorithm in transporting the different gene models over to the GCF_932526225.1_jaNemVect1.1 assembly.
DOI: 10.34740/kaggle/dsv/7098561
title: High School Alcoholism and Academic Performance
DOI: 10.5258/soton/d2887
title: Dataset supporting the University of Southampton Doctoral Thesis "Combined effects of force and vibration on the human hand"

description: The dataset contains acceleration data during the vibration test, collected by Matlab as .mat file, and can be read by Matlab
DOI: 10.5281/zenodo.10245866
title: Dataset related to article "High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis"

description: This record contains raw data related to article "High-resolution analysis of mononuclear phagocytes reveals GPNMB as a prognostic marker in human colorectal liver metastasis"
Abstract
Patients with colorectal liver metastasis (CLM) present with heterogenous clinical outcomes and improved classification is needed to ameliorate the therapeutic output. Macrophages (Mϕ) hold promise as prognostic classifiers and therapeutic targets. Here, stemming from a single-cell analysis of mononuclear phagocytes infiltrating human CLM, we identified two Mϕ markers associated with distinct populations with opposite clinical relevance. The invasive margin of CLM was enriched in pro-inflammatory monocyte-derived Mϕ (MoMϕ) expressing the monocytic marker SERPINB2, and a more differentiated population, tumor-associated Mϕ (TAM), expressing glycoprotein nonmetastatic melanoma protein B (GPNMB). SERPINB2+ MoMϕ had an early inflammatory profile, whereas GPNMB+ TAMs were enriched in pathways of matrix degradation, angiogenesis, and lipid metabolism and were found closer to the tumor margin, as confirmed by spatial transcriptomics on CLM specimens. In a cohort of patients, a high infiltration of SERPINB2+ cells independently associated with longer disease-free survival (DFS; P = 0.033), whereas a high density of GPNMB+ cells correlated with shorter DFS (P = 0.012) and overall survival (P = 0.002). Cell-cell interaction analysis defined opposing roles for MoMϕ and TAMs, suggesting that SERPINB2+ and GPNMB+ cells are discrete populations of Mϕ and may be exploited for further translation to an immune-based stratification tool. This study provides evidence of how multi-omics approaches can identify nonredundant, clinically relevant markers for further translation to immune-based patient stratification tools and therapeutic targets. GPNMB has been shown to set Mϕ in an immunosuppressive mode. Our high dimensional analyses provide further evidence that GPNMB is a negative prognostic indicator and a potential player in the protumor function of Mϕ populations.
DOI: 10.5281/zenodo.10245867
title: Dataset related to article "High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis"

description: This record contains raw data related to article "High-resolution analysis of mononuclear phagocytes reveals GPNMB as a prognostic marker in human colorectal liver metastasis"
Abstract
Patients with colorectal liver metastasis (CLM) present with heterogenous clinical outcomes and improved classification is needed to ameliorate the therapeutic output. Macrophages (Mϕ) hold promise as prognostic classifiers and therapeutic targets. Here, stemming from a single-cell analysis of mononuclear phagocytes infiltrating human CLM, we identified two Mϕ markers associated with distinct populations with opposite clinical relevance. The invasive margin of CLM was enriched in pro-inflammatory monocyte-derived Mϕ (MoMϕ) expressing the monocytic marker SERPINB2, and a more differentiated population, tumor-associated Mϕ (TAM), expressing glycoprotein nonmetastatic melanoma protein B (GPNMB). SERPINB2+ MoMϕ had an early inflammatory profile, whereas GPNMB+ TAMs were enriched in pathways of matrix degradation, angiogenesis, and lipid metabolism and were found closer to the tumor margin, as confirmed by spatial transcriptomics on CLM specimens. In a cohort of patients, a high infiltration of SERPINB2+ cells independently associated with longer disease-free survival (DFS; P = 0.033), whereas a high density of GPNMB+ cells correlated with shorter DFS (P = 0.012) and overall survival (P = 0.002). Cell-cell interaction analysis defined opposing roles for MoMϕ and TAMs, suggesting that SERPINB2+ and GPNMB+ cells are discrete populations of Mϕ and may be exploited for further translation to an immune-based stratification tool. This study provides evidence of how multi-omics approaches can identify nonredundant, clinically relevant markers for further translation to immune-based patient stratification tools and therapeutic targets. GPNMB has been shown to set Mϕ in an immunosuppressive mode. Our high dimensional analyses provide further evidence that GPNMB is a negative prognostic indicator and a potential player in the protumor function of Mϕ populations.
DOI: 10.6084/m9.figshare.24711724
title: Table S2 from Transcriptomic responses to location learning by honeybee dancers are partly mirrored in the brains of dance-followers

description: Outputs of gene expression analyses for distance experiment
DOI: 10.6084/m9.figshare.24711724.v1
title: Table S2 from Transcriptomic responses to location learning by honeybee dancers are partly mirrored in the brains of dance-followers

description: Outputs of gene expression analyses for distance experiment
DOI: 10.6084/m9.figshare.24711727
title: Table S4 from Transcriptomic responses to location learning by honeybee dancers are partly mirrored in the brains of dance-followers

description: Sample quality and statistics associated with RNA sequencing
DOI: 10.6084/m9.figshare.24711727.v1
title: Table S4 from Transcriptomic responses to location learning by honeybee dancers are partly mirrored in the brains of dance-followers

description: Sample quality and statistics associated with RNA sequencing