cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14284/391
title: BIOICE: The Benthic Invertebrates of Icelandic Waters stationlist

description: The dataset holds information on the stations sampled during the BIOICE (Benthic Invertebrates of Icelandic Waters) project. The sampling occurred from 1991 to 2004. Samples were taken on the Norwegian RV Håkon Mosby, the Icelandic RV Bjarni Sæmundsson and the Faeroese RV Magnus Heinason. The samples were mainly taken with a RP sled, a detritus sled, a triangular dredge, an Agassiz trawl and a Shipek grab, and in few cases Smögen grab, Van Veen grab, a gravity corer and a remotely operated camera were used. The samples taken at these stations were analysed for the presence and abundance of isopods, cumaceans and amphipods for which the data can be found in other datasets linked to this dataset record
description: The objectives of the Bioice program are to increase our understanding of the biodiversity and the distribution patterns of individual species that are thriving on the sea floor, in Icelandic waters. Iceland is a part of the Greenland-Scotland Ridge, which marks boundaries between the biogeographic regions of the Arctic and the North Atlantic Boreal region. There are thus entirely different sets of species that are thriving north and south of the Greenland-Scotland Ridge. The main objectives of Bioice are to gather comprehensive information on what species of benthic invertebrates are thriving in Icelandic waters, their physical enviroment and to promote international research on their ecology, taxonomy, systematics, and biogeography.
DOI: 10.5281/zenodo.3584183
title: CoPhy: Counterfactual Learning of Physical Dynamics (Benchmark Dataset)

description: Benchmark website: https://projet.liris.cnrs.fr/cophy/ Understanding causes and effects in mechanical systems is an essential component of reasoning in the physical world. This work poses a new problem of counterfactual learning of object mechanics from visual input. We develop the COPHY benchmark to assess the capacity of the state-of-the-art models for causal physical reasoning in a synthetic 3D environment. Having observed a mechanical experiment that involves, for example, a falling tower of blocks, a set of bouncing balls or colliding objects, we require to learn to predict how its outcome is affected by an arbitrary intervention on its initial conditions, such as displacing one of the objects in the scene. The main objective for the creation of our benchmark is (a) to focus specifically on evaluating capabilities of state of the art models for performing counterfactual reasoning, (b) to be unbiased in terms of distributions of parameters to be estimated and balanced with respect to possible outcomes, and (c) to have sufficient variety in terms of scenarios<br> and latent physical characteristics of the scene that are not visually observed and therefore can act<br> as confounders. If you use this benchmark, you need to cite the following paper: Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf. COPHY: Counterfactual Learning of Physical Dynamics. pre-print arXiv:1909.12000, 2019.
DOI: 10.5281/zenodo.3584184
title: CoPhy: Counterfactual Learning of Physical Dynamics (Benchmark Dataset)

description: Benchmark website: https://projet.liris.cnrs.fr/cophy/ Understanding causes and effects in mechanical systems is an essential component of reasoning in the physical world. This work poses a new problem of counterfactual learning of object mechanics from visual input. We develop the COPHY benchmark to assess the capacity of the state-of-the-art models for causal physical reasoning in a synthetic 3D environment. Having observed a mechanical experiment that involves, for example, a falling tower of blocks, a set of bouncing balls or colliding objects, we require to learn to predict how its outcome is affected by an arbitrary intervention on its initial conditions, such as displacing one of the objects in the scene. The main objective for the creation of our benchmark is (a) to focus specifically on evaluating capabilities of state of the art models for performing counterfactual reasoning, (b) to be unbiased in terms of distributions of parameters to be estimated and balanced with respect to possible outcomes, and (c) to have sufficient variety in terms of scenarios<br> and latent physical characteristics of the scene that are not visually observed and therefore can act<br> as confounders. If you use this benchmark, you need to cite the following paper: Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf. COPHY: Counterfactual Learning of Physical Dynamics. pre-print arXiv:1909.12000, 2019.
DOI: 10.5281/zenodo.3584237
title: Framepool supplementary data and tables

description: Supplementary data for the Framepooling models.
DOI: 10.5281/zenodo.3584238
title: Framepool supplementary data and tables

description: Supplementary data for the Framepooling models.
DOI: 10.17632/x6g8xtfv2j.1
title: Data for: Roles of nucleus accumbens shell and core in footshock-induced stress altering behavioral sensitization by methamphetamine in acquisition and testing

description: The files include two parts. One is nucleus accumbens core and the other is nucleus accumbens shell.
DOI: 10.17632/p8t3wxbs2r.4
title: Data for: Statistical and Geostatistical Spatial and Temporal Variability of Physico-Chemical Parameters, Nutrients, and Contaminants in the Tenango Dam, Puebla, Mexico.

description: The database contains information related to environmental variables of the Tenango dam, Puebla, 2015.
DOI: 10.5281/zenodo.3572060
title: Field-lab data and analyses results West Kalimantan, Indonesia

description: Field data included in this compressed folder were collected over an area of approximately 23,500 hectares in West Kalimantan, Indonesia. The folder includes Excel and txt files with the following contents: field measurements of the peat thickness at 63 coring sites, laboratory analyses results of the samples collected in the field, field and lab measurements of electrical conductivity. Moreover, there is a file containing all the measurements of peat thickness and soil elevation extracted from the figures contained in previous studies. Finally, the folder also includes the results obtained from the inversion of the Airborne Electromagntic (AEM) data collected with the SkyTEM instrument over the study site, and specifically the resistivity of the soil layers obtained from the inversion and the peat thickness corresponding to the 45 Ohmm threshold. The folder also includes the Python codes used for the statistical analyses explained in the paper.
description: SkyTEM data acquisition was funded by David and Lucile Packard Foundation through the grant agreement 2017-65823 to Duke University. Field activities and the acquisition of some additional SkyTEM data were supported by Stanford University School of Earth, Energy and Environmental Sciences, the Duke Wetland Center, SkyTEM Geophysical Surveys and EnviroSolutions & Consulting.
DOI: 10.5281/zenodo.3572061
title: Field-lab data and analyses results West Kalimantan, Indonesia

description: Field data included in this compressed folder were collected over an area of approximately 23,500 hectares in West Kalimantan, Indonesia. The folder includes Excel and txt files with the following contents: field measurements of the peat thickness at 63 coring sites, laboratory analyses results of the samples collected in the field, field and lab measurements of electrical conductivity. Moreover, there is a file containing all the measurements of peat thickness and soil elevation extracted from the figures contained in previous studies. Finally, the folder also includes the results obtained from the inversion of the Airborne Electromagntic (AEM) data collected with the SkyTEM instrument over the study site, and specifically the resistivity of the soil layers obtained from the inversion and the peat thickness corresponding to the 45 Ohmm threshold. The folder also includes the Python codes used for the statistical analyses explained in the paper.
description: SkyTEM data acquisition was funded by David and Lucile Packard Foundation through the grant agreement 2017-65823 to Duke University. Field activities and the acquisition of some additional SkyTEM data were supported by Stanford University School of Earth, Energy and Environmental Sciences, the Duke Wetland Center, SkyTEM Geophysical Surveys and EnviroSolutions & Consulting.
DOI: 10.5281/zenodo.3584319
title: weecology/portalPredictions 2019-12-19

description: Using various models to forecast abundances at Portal
DOI: 10.5281/zenodo.3584640
title: IO Islamic 712. Iftitâḥ-i- Żafarnâma, Introduction to Żafarnâma

description: IO Islamic 712. Iftitâḥ-i- Żafarnâma, Introduction to Żafarnâma
DOI: 10.5281/zenodo.3584641
title: IO Islamic 712. Iftitâḥ-i- Żafarnâma, Introduction to Żafarnâma

description: IO Islamic 712. Iftitâḥ-i- Żafarnâma, Introduction to Żafarnâma
DOI: 10.5281/zenodo.3584342
title: weecology/forecasts 2019-12-19

description: Archived forecasts for future analysis
DOI: 10.21227/hyfa-fa96
title: 5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion

description: The uploaded video files show the map PHD for the cases: i) 5G SLAM (without map fusion); ii) 5G ooperative positioning and mapping, which are the results of the paper submitted to the IEEE Transactions on Wireless Communications.Two vehicles are moving along with the circular road. Due to cooperation by map fusion, there is performance gain in detecting the SP which has the limited FoV.
DOI: 10.21227/kx3f-fx66
title: 5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion

description: The uploaded video files show the map PHD for the cases: i) 5G SLAM (without map fusion); ii) 5G ooperative positioning and mapping, which are the results of the paper submitted to the IEEE Transactions on Wireless Communications.Two vehicles are moving along with the circular road. Due to cooperation by map fusion, there is performance gain in detecting the SP which has the limited FoV.
DOI: 10.21227/7f99-yd53
title: 5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion

description: The uploaded video files show the map PHD with the simulation scenarios for the cases: i) 5G SLAM (without map fusion); ii) 5G ooperative positioning and mapping. These results are obtained from the paper submitted to the IEEE Transactions on Wireless Communications.Two vehicles are moving along with the circular road. Due to cooperation by map fusion, there is performance gain in detecting the SP which has the limited FoV.
DOI: 10.5281/zenodo.3584480
title: Influence of the thickness of the overriding plate on convergence zone dynamics

description: Dataset associated with the paper entitled "Influence of the thickness of the overriding plate on convergence zone dynamics" by Hertgen et al. These links allow to download: - Input files for WOP and SOP models - Output files for WOP and SOP models Please, contact S. Hertgen for additional information
DOI: 10.5281/zenodo.3584481
title: Influence of the thickness of the overriding plate on convergence zone dynamics

description: Dataset associated with the paper entitled "Influence of the thickness of the overriding plate on convergence zone dynamics" by Hertgen et al. These links allow to download: - Input files for WOP and SOP models - Output files for WOP and SOP models Please, contact S. Hertgen for additional information
DOI: 10.5519/qd.7sejjpcj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4485141 records)
DOI: 10.23634/mmudr.00624643
title: Dataset accompanying publication "Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning"
DOI: 10.5281/zenodo.3584926
title: IO Islamic 1135. Maṭla'-alsa'dain wa majma'-albaḥrain, History of the Tîmûrides

description: IO Islamic 1135. Maṭla’-alsa’dain wa majma’-albaḥrain, History of the Tîmûrides
DOI: 10.5281/zenodo.3584927
title: IO Islamic 1135. Maṭla'-alsa'dain wa majma'-albaḥrain, History of the Tîmûrides

description: IO Islamic 1135. Maṭla’-alsa’dain wa majma’-albaḥrain, History of the Tîmûrides
DOI: 10.5281/zenodo.3584840
title: IO Islamic 1141. Fatḥnâma-i- Ṣâḥibḳirânî, simplified Żafarnâma

description: IO Islamic 1141. Fatḥnâma-i- Ṣâḥibḳirânî, simplified Żafarnâma
DOI: 10.5281/zenodo.3584839
title: IO Islamic 1141. Fatḥnâma-i- Ṣâḥibḳirânî, simplified Żafarnâma

description: IO Islamic 1141. Fatḥnâma-i- Ṣâḥibḳirânî, simplified Żafarnâma
DOI: 10.5281/zenodo.3584937
title: IO Islamic 1943. Malfûżât-i-Tîmûrî, Tîmûr's memoirs

description: IO Islamic 1943. Malfûżât-i-Tîmûrî, Tîmûr’s memoirs
DOI: 10.5281/zenodo.3584936
title: IO Islamic 1943. Malfûżât-i-Tîmûrî, Tîmûr's memoirs

description: IO Islamic 1943. Malfûżât-i-Tîmûrî, Tîmûr’s memoirs
DOI: 10.5281/zenodo.3584983
title: IO Islamic 1538. Malfûżât-i-Tîmûrî, Tîmûr's Memoirs

description: IO Islamic 1538. Malfûżât-i-Tîmûrî, Tîmûr’s Memoirs
DOI: 10.5281/zenodo.3584982
title: IO Islamic 1538. Malfûżât-i-Tîmûrî, Tîmûr's Memoirs

description: IO Islamic 1538. Malfûżât-i-Tîmûrî, Tîmûr’s Memoirs
DOI: 10.5519/qd.xl39xpt4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3567750
title: Dataset on infrastructural contestation in Greece (2008-2017)

description: The recent financial crisis has disturbed the smooth operation of infrastructural systems and hence challenged their role as guarantors of the social contract between citizens and the state. The “infrastructural gap” caused by the financial crisis, the ongoing urban expansion around the globe and the technological changes has turned infrastructures into a contested public domain. The extreme austerity measures and cutbacks in public infrastructure and the subsequent political delegitimizing that occurred in Greece exemplify this phenomenon. Our dataset concerns the mapping of events of socio-political contestation on the various types of infrastructure that occurred in Greece between 2008 – 2017. The data have been collected in the context of the infra-demos project who studies the relationship between infrastructure change, citizens’ participation and socio-technical innovation. The list of our sources include datasets from previous ethnographic and social research, national and local media outlets, social movements’ communication platforms and social media. Our dataset is composed by four sectors: a. a chronological indicator of the date of each event and its duration, b. the kind of socio-political action, c. the type of infrastructure and d. the type of infrastructural contestation. Infra-demos is funded by an NWO Vidi Innovational Research Incentives Scheme (project no 452- 17-015) hosted in the Vrije Universiteit Amsterdam, Faculty of Social Sciences and held by Prof. Dimitris Dalakoglou.
DOI: 10.5281/zenodo.3567749
title: Dataset on infrastructural contestation in Greece (2008-2017)

description: The recent financial crisis has disturbed the smooth operation of infrastructural systems and hence challenged their role as guarantors of the social contract between citizens and the state. The “infrastructural gap” caused by the financial crisis, the ongoing urban expansion around the globe and the technological changes has turned infrastructures into a contested public domain. The extreme austerity measures and cutbacks in public infrastructure and the subsequent political delegitimizing that occurred in Greece exemplify this phenomenon. Our dataset concerns the mapping of events of socio-political contestation on the various types of infrastructure that occurred in Greece between 2008 – 2017. The data have been collected in the context of the infra-demos project who studies the relationship between infrastructure change, citizens’ participation and socio-technical innovation. The list of our sources include datasets from previous ethnographic and social research, national and local media outlets, social movements’ communication platforms and social media. Our dataset is composed by four sectors: a. a chronological indicator of the date of each event and its duration, b. the kind of socio-political action, c. the type of infrastructure and d. the type of infrastructural contestation. Infra-demos is funded by an NWO Vidi Innovational Research Incentives Scheme (project no 452- 17-015) hosted in the Vrije Universiteit Amsterdam, Faculty of Social Sciences and held by Prof. Dimitris Dalakoglou.
DOI: 10.5281/zenodo.3584954
title: IO Islamic 722. Malfûżât-i-Tîmûrî, Tîmûr's Memoirs

description: IO Islamic 722. Malfûżât-i-Tîmûrî, Tîmûr’s Memoirs
DOI: 10.5281/zenodo.3584953
title: IO Islamic 722. Malfûżât-i-Tîmûrî, Tîmûr's Memoirs

description: IO Islamic 722. Malfûżât-i-Tîmûrî, Tîmûr’s Memoirs
DOI: 10.5281/zenodo.3584549
title: Set of European CO2 and CO emission grids representing emission uncertainties

description: This dataset was prepared by TNO as a contribution to the H2020 project CHE and the H2020 project VERIFY. The basis is a high-resolution (~1x1 km) emission inventory providing CO<sub>2</sub> and CO (from fossil fuels and biofuels separately) over western Europe (2ºW - 19ºE, 47ºN - 56ºN). The reported emissions by European countries to UNFCCC (CO<sub>2</sub>) and to EMEP/CEIP (CO) have been used and where needed gap-filled or replaced with emission data from the GAINS model. These country-level emissions are disaggregated in space using a consistent spatial distribution methodology, whereas large point sources are listed with their exact locations. This approach is similar to the one described by Kuenen et al., (ACP, 2014). Emissions are reported per GNFR sector, with an extra split for road transport. The emission grids that are part of this dataset are a variation on the base grid, representing the uncertainty in the emission data. Each grid is equally plausible. The grids have been created using a Monte Carlo approach. The uncertainties in the underlying data used to create the base grid (emissions: activity data and emission factors, spatial proxies) have been collected (either from country reports or based on expert judgement). Through the Monte Carlo simulation these uncertainties, taking into account error correlations between some sub-sectors, are combined to create ten new emission grids. The spread in emissions between these emission maps gives an indication of the uncertainty in the emissions. The grid files (in .csv and .nc format) contain annual total emissions per grid cell for the year 2015. A separate file has been prepared for each ensemble member in the Monte Carlo simulation (indicated with M). The unit in the files is kg/yr. A detailed description of the Monte Carlo simulation is presented in: Super, I., Dellaert, S. N. C., Visschedijk, A. J. H., and Denier van der Gon, H. A. C.: Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-696, in review, 2019. <strong>N.B. It is important to note that 10 maps are not sufficient to describe the sometimes complex uncertainty structures, for example in the case of lognormal uncertainty distributions. The interpretation of the uncertainty based on these 10 maps should therefore be done with care.</strong> <strong>NB. Despite efforts to prevent negative emissions to occur in the grid maps, some negative values are still present. In local studies this might cause some issues, and we recommend to set negative emissions to zero in those cases.</strong>
DOI: 10.5281/zenodo.3584548
title: Set of European CO2 and CO emission grids representing emission uncertainties

description: This dataset was prepared by TNO as a contribution to the H2020 project CHE and the H2020 project VERIFY. The basis is a high-resolution (~1x1 km) emission inventory providing CO<sub>2</sub> and CO (from fossil fuels and biofuels separately) over western Europe (2ºW - 19ºE, 47ºN - 56ºN). The reported emissions by European countries to UNFCCC (CO<sub>2</sub>) and to EMEP/CEIP (CO) have been used and where needed gap-filled or replaced with emission data from the GAINS model. These country-level emissions are disaggregated in space using a consistent spatial distribution methodology, whereas large point sources are listed with their exact locations. This approach is similar to the one described by Kuenen et al., (ACP, 2014). Emissions are reported per GNFR sector, with an extra split for road transport. The emission grids that are part of this dataset are a variation on the base grid, representing the uncertainty in the emission data. Each grid is equally plausible. The grids have been created using a Monte Carlo approach. The uncertainties in the underlying data used to create the base grid (emissions: activity data and emission factors, spatial proxies) have been collected (either from country reports or based on expert judgement). Through the Monte Carlo simulation these uncertainties, taking into account error correlations between some sub-sectors, are combined to create ten new emission grids. The spread in emissions between these emission maps gives an indication of the uncertainty in the emissions. The grid files (in .csv and .nc format) contain annual total emissions per grid cell for the year 2015. A separate file has been prepared for each ensemble member in the Monte Carlo simulation (indicated with M). The unit in the files is kg/yr. A detailed description of the Monte Carlo simulation is presented in: Super, I., Dellaert, S. N. C., Visschedijk, A. J. H., and Denier van der Gon, H. A. C.: Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-696, in review, 2019. <strong>N.B. It is important to note that 10 maps are not sufficient to describe the sometimes complex uncertainty structures, for example in the case of lognormal uncertainty distributions. The interpretation of the uncertainty based on these 10 maps should therefore be done with care.</strong> <strong>NB. Despite efforts to prevent negative emissions to occur in the grid maps, some negative values are still present. In local studies this might cause some issues, and we recommend to set negative emissions to zero in those cases.</strong>
DOI: 10.5281/zenodo.3584914
title: IO Islamic 297. Maṭla'-alsa'dain wa majma'-albaḥrain, History of the Tîmûrides

description: IO Islamic 297. Maṭla’-alsa’dain wa majma’-albaḥrain, History of the Tîmûrides
DOI: 10.5281/zenodo.3584529
title: Human Methylene- tetrahydrofolate reductase (MTHFR) A Target Enabling Package (TEP)

description: The folate and methionine cycles are essential metabolic pathways for life, involved respectively in DNA synthesis and generation of the ubiquitous methyl donor S-adenosylmethionine (SAM). The enzyme 5,10-methylenetetrahydrofolate reductase (MTHFR) represents a key regulatory connection between these cycles, hence exerting a strong influence on an array of diseases. This TEP presents the first structures for any eukaryotic MTHFR, revealing a novel SAM-binding fold. The TEP provides additional mass spectrometry, activity assay and biophysical binding methods yielding mechanistic insights into how phosphorylation and allosteric binding of SAM act in concert to inhibit MTHFR activity. This work further provides the starting point for the design of tool molecules (e.g. SAM-analogues) aimed at disrupting the SAM-induced inhibition of MTHFR activity.
description: Future versions of this TEP will contain experimental data on the MTHFR TEP.
DOI: 10.5281/zenodo.3584913
title: IO Islamic 297. Maṭla'-alsa'dain wa majma'-albaḥrain, History of the Tîmûrides

description: IO Islamic 297. Maṭla’-alsa’dain wa majma’-albaḥrain, History of the Tîmûrides
DOI: 10.5281/zenodo.3584925
title: Framepool supplementary data and tables

description: Supplementary data for the Framepooling models.
DOI: 10.5281/zenodo.3584856
title: IO Islamic 2940. Fatḥnâma-i- Ṣâḥibḳirânî, simplified Żafarnâma

description: IO Islamic 2940. Fatḥnâma-i- Ṣâḥibḳirânî, simplified Żafarnâma