cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23600325
title: Phylogenomic conflict analyses of the plastid and mitochondrial genomes via deep genome skimming highlight their independent evolutionary histories: A case study in the cinquefoil genus <em>Potentilla </em>sensu lato (Potentilleae, Rosaceae)

description: Sequence matrices and phylogenetic trees of the <em>Potentilla</em>
DOI: 10.34945/f5xk5q
title: Differences in anatomical outcomes between early chronic (8w) and far chronic (26w) time points after transplantation of mouse spinal cord neural progenitor cells into sites of cervical (C4) dorsal column lesion SCI in male and female mice

description: STUDY PURPOSE: Spinal cord injury (SCI) affects millions of people worldwide. Neural progenitor cell (NPC) transplantation is a promising treatment for regenerating lost spinal cord tissue and restoring neurological function after SCI. However, relatively few studies have previously investigated anatomical outcomes at far chronic time points following NPC transplantation. This is a critical topic to investigate, given that stem and progenitor cell therapies would need to remain in place throughout the lifetime of an individual. We sought to determine how commonly assessed anatomical outcomes evolve between the early and far chronic time points post-NPC transplantation. DATA COLLECTED: Abbreviated Methods: (More detailed information can be found in the Methodology document.) Male and female C57BL/6 mice (17-33 g) were used for the study. Cervical (C4) dorsal column lesion SCI was performed, followed by immediate transplantation of GFP+ E12.5 mouse spinal cord neural progenitor cells. Three mice were excluded due to premature mortality. At either 8 weeks (n=13) or 26 weeks (n=14) following transplantation of NPCs into sites of cervical SCI, mice were perfused. We evaluated graft neuronal density, astroglial cell density, graft axon outgrowth, and regeneration of host axon populations into grafts. DATA USAGE NOTES:
DOI: 10.5281/zenodo.5416145
title: [DATASET 8] - MICROBIAL FUEL CELLS (MFCS)

description: In the framework of GrowBot project, Task 7.1 aims to develop autonomous MFCs that can provide energy to the robot and, in addition, do not require continuous monitoring of the cell conditions. Bioo's objectives are: i) to have a cell that is easy to install, ii) that does not require of a continuous maintenance and iii) that is adaptable to non-wet lands. In order to achieve the objective described, different configurations for the MFC will be tested and adapted regarding to predominant plant species, soil pH, temperature, average humidity, organic matter and mineral salt composition. New electrode materials (combinations of polymers, metals, carbon) and surface treatments (i.e. doping with catalysts, new 2D materials, and functionalization with bacteria for on-demand activation) will be developed to improve their performance. Energy harvesting and storage will be established by considering low power harvesting technologies like tunnel FET and supercapacitors. DS8 aims at collecting all the experimental data gathered during these activities.
DOI: 10.5281/zenodo.5416146
title: [DATASET 8] - MICROBIAL FUEL CELLS (MFCS)

description: In the framework of GrowBot project, Task 7.1 aims to develop autonomous MFCs that can provide energy to the robot and, in addition, do not require continuous monitoring of the cell conditions. Bioo's objectives are: i) to have a cell that is easy to install, ii) that does not require of a continuous maintenance and iii) that is adaptable to non-wet lands. In order to achieve the objective described, different configurations for the MFC will be tested and adapted regarding to predominant plant species, soil pH, temperature, average humidity, organic matter and mineral salt composition. New electrode materials (combinations of polymers, metals, carbon) and surface treatments (i.e. doping with catalysts, new 2D materials, and functionalization with bacteria for on-demand activation) will be developed to improve their performance. Energy harvesting and storage will be established by considering low power harvesting technologies like tunnel FET and supercapacitors. DS8 aims at collecting all the experimental data gathered during these activities.
DOI: 10.5281/zenodo.8096219
title: [DATASET 8] - MICROBIAL FUEL CELLS (MFCS)

description: In the framework of GrowBot project, Task 7.1 aims to develop autonomous MFCs that can provide energy to the robot and, in addition, do not require continuous monitoring of the cell conditions. Bioo's objectives are: i) to have a cell that is easy to install, ii) that does not require of a continuous maintenance and iii) that is adaptable to non-wet lands. In order to achieve the objective described, different configurations for the MFC will be tested and adapted regarding to predominant plant species, soil pH, temperature, average humidity, organic matter and mineral salt composition. New electrode materials (combinations of polymers, metals, carbon) and surface treatments (i.e. doping with catalysts, new 2D materials, and functionalization with bacteria for on-demand activation) will be developed to improve their performance. Energy harvesting and storage will be established by considering low power harvesting technologies like tunnel FET and supercapacitors. DS8 aims at collecting all the experimental data gathered during these activities.
DOI: 10.48366/r599805
title: How to use corpus linguistics approach to improve educational content for students of foreign language

description: The Comparison reflects some approaches to use corpus linguistics tools in second language teaching
DOI: 10.5281/zenodo.8096279
title: urosalpinx_cinerea_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8096278
title: urosalpinx_cinerea_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8095785
title: Dataset of the authorisation protocol of the AI-SPRINT project

description: Dataset concerning the authorisation protocol of the AI-SPRINT European project which was created for performance evaluation purpose
DOI: 10.5281/zenodo.8095784
title: Dataset of the authorisation protocol of the AI-SPRINT project

description: Dataset concerning the authorisation protocol of the AI-SPRINT European project which was created for performance evaluation purpose
DOI: 10.6073/pasta/633d378afd674a4edba3a269fbee2322
title: Hubbard Brook Experimental Forest: 15-Minute Air Temperature Record, 2014 - present

description: Air temperature is measured at 15-minute intervals in six clearings throughout the Hubbard Brook experimental watersheds and at the Headquarters Station. Beginning in 2014, digital sensors housed in aspirated solar radiation shields collected air temperature measurements. These data are gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6084/m9.figshare.23600460
title: ESD Efficiency HPLC Data.zip

description: Raw HPLC data corresponding to the manuscript titled "Efficient Electrospray Deposition of Surfaces Smaller than the Spray Plume" by Park et al.
DOI: 10.3886/icpsr09730.v3
title: National Maternal and Infant Health Survey, 1988
title: Version 3

description: This survey was designed to explore factors that cause negative pregnancy outcomes. Questions were asked of pregnant women concerning prenatal care, weight gain or loss during pregnancy, alcohol, cigarette, or drug use during pregnancy, and whether vitamin or mineral supplements were taken before or during pregnancy. In addition, questions were asked about the use of home pregnancy tests, exercise before and during pregnancy, medical care before, during, and after delivery, previous pregnancies and their outcomes, birth control use, and how the mother felt and behaved. Demographic information about the mother such as marital status, marital history, date of birth, state of birth, mother's weight at birth, weight changes before, during, and after pregnancy, height, race, education, work history, and place of residence was obtained. Information about the father includes items such as age, height, weight, education, and job status. In addition, family income questions were asked, as were questions about the health, care, and feeding of the baby. Information was also taken from birth certificates and fetal and infant death certificates.
description: Stratified, systematic sampling from the 48 states, the District of Columbia, and New York City in 1988. For Part 2, the Texas--Hispanic Sample, all Texans from the national file were combined with an oversample of Texas Hispanics.
description: Datasets: DS1: Public-use National Data File
description: Women between the ages of 15 and 49 who had a pregnancy in 1988.
description: Per agreement with the National Center for Health Statistics (NCHS), ICPSR distributes the data file(s) and technical documentation in this collection in their original form as prepared by NCHS.
DOI: 10.5281/zenodo.3662293
title: Malware dataset from VirusShare used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model"

description: This repository contains all malicious samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". It is safe to download these samples <strong>without </strong>running them. Please note that when downloading these samples, <strong>close all </strong>anti-virus software, including Windows Defender.
DOI: 10.5281/zenodo.3662292
title: Malware dataset from VirusShare used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model"

description: This repository contains all malicious samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". It is safe to download these samples <strong>without </strong>running them. Please note that when downloading these samples, <strong>close all </strong>anti-virus software, including Windows Defender.
DOI: 10.5281/zenodo.6335722
title: Dataset Acceptance Teachers

description: Dataset of VR acceptance study by teachers
DOI: 10.5281/zenodo.6335721
title: Dataset Acceptance Teachers

description: Dataset of VR acceptance study by teachers
DOI: 10.25345/c53f4kr29
title: MassIVE MSV000089016 - Loss of ADAM15 exacerbates transition to decompensated hypertrophy through activation of calcineurin pathway
title: Label-free quantification of cardiac tissue following transverse aortic constriction (TAC) in a WT and ADAM15-/- mouse model.
DOI: 10.21223/bgagdn/k53bik
title: 03-Data-Animales-Crianza-3-7-2022.xlsx

description: :unav
DOI: 10.14469/hpc/10189
title: 2-ethoxyphenyl tridecanoate

description: Synthesis of ester with guaiethol and tridecanoic acid. Reaction conducted and TLC was carried out to ensure the completion of reflux reaction. Product collected was analysed with NMR and IR.
DOI: 10.6084/m9.figshare.19319624
title: Repositórios digitais integrados da América do Sul.csv

description: Uma lista com 33 repositórios digitais selecionados de acordo com a característica de serem repositórios digitais integrados (com armazenamento de dados de pesquisa, publicações científicas e trabalhos acadêmicos).Lista coletada nos dias 17 e 18 de fevereiro de 2022, realizada em planilha do Excel e salvo em CSV.
DOI: 10.6084/m9.figshare.19319624.v1
title: Repositórios digitais integrados da América do Sul.csv

description: Uma lista com 33 repositórios digitais selecionados de acordo com a característica de serem repositórios digitais integrados (com armazenamento de dados de pesquisa, publicações científicas e trabalhos acadêmicos).Lista coletada nos dias 17 e 18 de fevereiro de 2022, realizada em planilha do Excel e salvo em CSV.
DOI: 10.5517/ccdc.csd.cc275mfh
title: CCDC 2060986: Experimental Crystal Structure Determination

description: Related Article: Moumita Bera, Kritika Keshari, Akhil Bhardwaj, Geetika Gupta, Bhaskar Mondal, Sayantan Paria|2022|Inorg.Chem.|61|3152|doi:10.1021/acs.inorgchem.1c03537
DOI: 10.5517/ccdc.csd.cc275mgj
title: CCDC 2060987: Experimental Crystal Structure Determination

description: Related Article: Moumita Bera, Kritika Keshari, Akhil Bhardwaj, Geetika Gupta, Bhaskar Mondal, Sayantan Paria|2022|Inorg.Chem.|61|3152|doi:10.1021/acs.inorgchem.1c03537
DOI: 10.18434/mds2-2568
title: Supplemental material to "Capability of commercial trackers as compensators for the absolute refractive index of air"
DOI: 10.15468/vkzxjh
title: Biodiversity description of the Crystal mountains national park buffer

description: Data are provided by the Institut de Pharmacopée et de Médecine Traditionnelles (IPHAMETRA). Data was collected from 123 plots of 2500 m2 (31 ha) installed in the area that will host the construction of the national project of hydroelectric dam. Trees with diameter at breast height (dbh) ≥ 10 cm were measured and identified. The dbh is measured with a diametric tape at approximately 1.3 m from ground or 30 cm above buttresses and stilt roots, avoiding lianas growing on the trunk.
DOI: 10.5281/zenodo.6335741
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 1 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
DOI: 10.5281/zenodo.6335740
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 1 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
DOI: 10.5281/zenodo.3911155
title: SLNET: A Redistributable Corpus of 3rd-party Simulink Models

description: SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNET_Miner) The metrics are collected using https://github.com/50417/SLNET_Metrics
DOI: 10.5281/zenodo.3936145
title: SLNET: A Redistributable Corpus of 3rd-party Simulink Models

description: SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNET_Miner) The metrics are collected using https://github.com/50417/SLNET_Metrics
DOI: 10.5281/zenodo.4749810
title: SLNET: A Redistributable Corpus of 3rd-party Simulink Models

description: SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNET_Miner) The metrics are collected using https://github.com/50417/SLNET_Metrics
description: Removes potential duplicate projects from the dataset
DOI: 10.5281/zenodo.4898432
title: SLNET: A Redistributable Corpus of 3rd-party Simulink Models

description: SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNET_Miner) The metrics are collected using https://github.com/50417/SLNET_Metrics v1.1.1: Fixed issue with number of duplicates project in SLNET_duplicates's potential_duplicates_list.csv Note: SRC_blocks tables houses "block type" and its count per model. For many blocktypes such as MATLAB Function (which are actually built using a Subsystem), Simulink's get_param API returns block type as "Subsystem" instead of MATLAB Function. Thus, "Subsystem" block type include counts both from user created ones and library blocks (which are implemented using Subsystem). Thus To get a precise number for user created Subsystem, refer to "Agg_subsystem_count" in SRC_metric table.
description: Removes potential duplicate projects from the dataset
DOI: 10.18434/mds2-1906
title: Code for "The Walker Alias Method in Modern Fortran"
DOI: 10.18434/mds2-2431
title: Data Supporting "Seabird Tissue Archival and Monitoring Project (STAMP) Data from 1999-2010"
DOI: 10.18434/mds2-1954
title: Data from "NIST TN 2006 'Interlaboratory mechanical-property study for Cobalt-Chromium alloy made by laser powder-bed-fusion additive manufacturing'" DOI: 10.6028/NIST.TN.2006
DOI: 10.3886/e155025v1-111400
title: National Neighborhood Data Archive (NaNDA): Internet Access by ZIP Code Tabulation Area, United States, 2015-2019

description: This dataset contains measures of internet access per United States ZIP code tabulation area (ZCTA) from the 2015-2019 American Community Survey five-year estimate. Key variables include the number and percent of households per ZCTA with any type of internet subscription, with broadband internet, and with a computer or smartphone.
description: ZCTAs in the United States, the District of Columbia, and Puerto Rico. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data must use a ZIP code to ZCTA crosswalk. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.5281/zenodo.6335754
title: Ground temperature timeseries (2014-2021) and cryostratigraphy from Villum Research Station, Station Nord, eastern North Greenland (81° N)

description: This dataset contains ground temperature timeseries (2014-2021) and cryostratigraphy data from two 20 m deep boreholes located at Villum Research Station (VRS), Station Nord, eastern North Greenland. The cryostratigraphy data includes split permafrost core photographs and values for the following parameters: gravimetric moisture content, salinity, and freezing point depression. A complete sample inventory and information on sample quality and recovery is also included. Please read the file "Readme_Strandetal2021_V2" for the necessary background information and overview of the dataset contents (file structure and description of each file). This is the second version of the dataset; the ground temperature timeseries in this version are 2.5 years longer than in the first version, and meteorology data from the same period as the ground temperature data is provided.
description: The authors are grateful for the opportunity to collaborate with VRS on establishing permafrost monitoring as part of their climate monitoring program. When VRS was established in 2014, the permafrost researchers at UNIS were asked to establish the permafrost monitoring sites as the closest neighboring institution with a permafrost drill rig that could be transported by air to Station Nord. Wesley Farnsworth, Graham Gilbert, and Ullrich Neumann (Kolibri Geo Services) drilled the boreholes and collected the samples in August 2014. We would like to thank Luca Durstewitz for her sample preparation work (core cutting, cataloguing, and photographing) and initial lab analysis (gravimetric moisture content and sieving) during her internship at UNIS in spring 2019. Jørgen Skafte and Kirsten Christoffersen kindly assisted with downloading the borehole temperature data in summer 2019 and winter 2021. We would like to thank the Station Nord military personnel and the staff and researchers associated with VRS for helping with logistics and contributing to an excellent fieldwork and research environment. Prof. Henrik Skov has been particularly supportive of this project and ensured successful fieldwork in August 2017. This research received funding from INTERACT under the European Union H2020 Grant Agreement No.871120; this funding covered the summer 2017 fieldwork costs through INTERACT's transnational access program.
DOI: 10.5281/zenodo.5604527
title: Ground temperature timeseries (2014-2021) and cryostratigraphy from Villum Research Station, Station Nord, eastern North Greenland (81° N)

description: This dataset contains ground temperature timeseries (2014-2021) and cryostratigraphy data from two 20 m deep boreholes located at Villum Research Station (VRS), Station Nord, eastern North Greenland. The cryostratigraphy data includes split permafrost core photographs and values for the following parameters: gravimetric moisture content, salinity, and freezing point depression. A complete sample inventory and information on sample quality and recovery is also included. Please read the file "Readme_Strandetal2021_V2" for the necessary background information and overview of the dataset contents (file structure and description of each file). This is the second version of the dataset; the ground temperature timeseries in this version are 2.5 years longer than in the first version, and meteorology data from the same period as the ground temperature data is provided.
description: The authors are grateful for the opportunity to collaborate with VRS on establishing permafrost monitoring as part of their climate monitoring program. When VRS was established in 2014, the permafrost researchers at UNIS were asked to establish the permafrost monitoring sites as the closest neighboring institution with a permafrost drill rig that could be transported by air to Station Nord. Wesley Farnsworth, Graham Gilbert, and Ullrich Neumann (Kolibri Geo Services) drilled the boreholes and collected the samples in August 2014. We would like to thank Luca Durstewitz for her sample preparation work (core cutting, cataloguing, and photographing) and initial lab analysis (gravimetric moisture content and sieving) during her internship at UNIS in spring 2019. Jørgen Skafte and Kirsten Christoffersen kindly assisted with downloading the borehole temperature data in summer 2019 and winter 2021. We would like to thank the Station Nord military personnel and the staff and researchers associated with VRS for helping with logistics and contributing to an excellent fieldwork and research environment. Prof. Henrik Skov has been particularly supportive of this project and ensured successful fieldwork in August 2017. This research received funding from INTERACT under the European Union H2020 Grant Agreement No.871120; this funding covered the summer 2017 fieldwork costs through INTERACT's transnational access program.