cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8236387
title: Carabid beetle dataset - Lahti, Finland 2019

description: Carabid beetle dataset
Location: Lahti, Finland
Collected: 2019
Habitat: spruce (Picea abies) dominated semi-natural forest/remnant forests
Sites collected: 3 control forest patches, 10 forest patches in an agricutural landscape, 8 forest fragments in an urban landscape, 7 forested islands in lake Vesijäri.


Excel dataset properties:
TAB: fragment size,locations = fragment sizes, google maps link, site names and coordinates
TAB: carabids,abundance,size = carabid beetles collected. Body length and elytra length (in mm) of each individual collected per site per visit. Additional information include dates of trap placement and retrieval per visit, and number of traps active and lost per site per visit.
TAB: other taxa-abundance = Number of Gastropoda, Araneae and Formicidae individuals collected per site per visit.
TAB: vegetation = percentage cover of the field layer, ground layer and the canopy. Five reps per site. 15 litter depth measurements (in cm) per site. Proportion of conifer/deciduous trees per site.
TAB: soil data = percentage soil moisture, percentage organic matter (OM) and pH per site, measured from composite samples (4 subsamples per site).
DOI: 10.57745/zmel9t
title: Apr18_Non_Heated_FO1_1604_1804.xlsx

description: :unav
DOI: 10.57745/3svyqd
title: Apr18_Heated_FO2_1604_1804.xlsx

description: :unav
DOI: 10.57745/ijuhqg
title: Apr18_Non_Heated_FO2_1804_2004.xlsx

description: :unav
DOI: 10.57745/1h2edn
title: Apr18_Heated_FO1_1804_2004.xlsx

description: :unav
DOI: 10.57745/iaijkj
title: READ_ME_April2018.tab

description: :unav
DOI: 10.57745/incmmg
title: READ_ME_November2017.tab

description: :unav
DOI: 10.57745/gmyvnj
title: Nov17_Heated_FO1_1311_1511.xlsx

description: :unav
DOI: 10.57745/jsvyi8
title: Nov17_Heated_FO1_1611_1611.xlsx

description: :unav
DOI: 10.57745/6hyis0
title: Nov17_Non_Heated_FO1_1511_1611.xlsx

description: :unav
DOI: 10.57745/ctqlto
title: Nov17_Heated_FO2_1511_1611.xlsx

description: :unav
DOI: 10.57745/xkehef
title: Nov17_Non_Heated_FO2_1611_1611.xlsx

description: :unav
DOI: 10.57745/brxs7l
title: Nov17_Non_Heated_FO2_1311_1511.xlsx

description: :unav
DOI: 10.57745/sobtxm
title: Sep18_Heated_FO1_1109_1409.xlsx

description: :unav
DOI: 10.57745/4vy3ug
title: Sep18_Heated_FO2_1409_1509.xlsx

description: :unav
DOI: 10.57745/iaczi0
title: READ_ME_September2018.tab

description: :unav
DOI: 10.57745/h3vwqf
title: Sep18_Non_Heated_FO1_1409_1509.xlsx

description: :unav
DOI: 10.57745/rmdyyc
title: Sep18_Non_Heated_FO2_1109_1409.xlsx

description: :unav
DOI: 10.57745/wbcv0x
title: Sep19_Non_Heated_FO2.xlsx

description: :unav
DOI: 10.57745/fovqjb
title: READ_ME_September2019.tab

description: :unav
DOI: 10.57745/evdles
title: Sep19_Heated_FO1.xlsx

description: :unav
DOI: 10.21227/4098-8c60
title: Phishing Attack Dataset

description: The data set has been prepared as 2 different versions. The data set was shared in two versions due to the fact that the researchers could easily reproduce the tests and hardware limitations. The first version (small_dataset) was prepared using a 10% sub-sample of all dataset. The other version (big_dataset) contains the entire data. In this study, the scenarios tested were run on the small_dataset. The most successful configuration that was selected as a result of the analysis on small_dataset was applied to big_dataset.Both versions were divided into 3 parts: train, validation and test. The proportions used in the split process are as follows; train: 0.7, val: 0.2 and test: 0.1Phishing URLs are collected from Phishtank, Legal URLs are collected from Commoncrawl. Datasets are shared under dataset/ folder. The dataset folder has the following structure.
DOI: 10.6084/m9.figshare.24440572
title: Data for "Spatial scaling in bed-site selection by roe deer fawns: implications for mitigating neonatal mortality during mowing"

description: Data accompanying the manuscript "Spatial scaling in bed-site selection by roe deer fawns: implications for mitigating neonatal mortality during mowing"
DOI: 10.6084/m9.figshare.24440572.v1
title: Data for "Spatial scaling in bed-site selection by roe deer fawns: implications for mitigating neonatal mortality during mowing"

description: Data accompanying the manuscript "Spatial scaling in bed-site selection by roe deer fawns: implications for mitigating neonatal mortality during mowing"
DOI: 10.18112/openneuro.ds004783.v1.0.1
title: Dance synchrony fMRI dataset
DOI: 10.17032/shu-0000000183
title: Standard Squareback models for Aerodynamics and Aeroacoustics Research

description: This data is a collection CAD of various forebody configurations of standard squareback models. All geometries have a standard mirror, the side window, frame; some include A-pillars. All models are identical in the projected frontal area.
DOI: 10.17633/rd.brunel.24225937
title: Analysis of Rainfall-Induced Slope Stability using Probabilistic and FEM Hydro-Mechanical Coupling

description: In this research, an integrated approach combining random fields and FEM hydro-mechanical coupling was employed to investigate the occurrence of shallow landslides near the slope surface during and after rainfall events. The related Python script to generate random fields and Plaxis input codes are included.
DOI: 10.17633/rd.brunel.24225937.v1
title: Analysis of Rainfall-Induced Slope Stability using Probabilistic and FEM Hydro-Mechanical Coupling

description: In this research, an integrated approach combining random fields and FEM hydro-mechanical coupling was employed to investigate the occurrence of shallow landslides near the slope surface during and after rainfall events. The related Python script to generate random fields and Plaxis input codes are included.
DOI: 10.17633/rd.brunel.23908371.v1
title: Carbon capture via aqueous ionic liquids intelligent modelling Item

description: This data set includes a library for making intelligent models to predict the solubility of Carbon dioxide when water vapor also exists in the mixture in a variety of ionic liquids. Different ionic liquids are tested and modelled at different operating conditions (temperature, pressure, and concentrations of CO<sub>2</sub>). The results can help design an effective system for carbon capture.
DOI: 10.17633/rd.brunel.23908371.v2
title: Carbon capture via aqueous ionic liquids intelligent modelling

description: This data set includes a library for making intelligent models to predict the solubility of Carbon dioxide when water vapor also exists in the mixture in a variety of ionic liquids. Different ionic liquids are tested and modelled at different operating conditions (temperature, pressure, and concentrations of CO<sub>2</sub>). The results can help design an effective system for carbon capture.
DOI: 10.17633/rd.brunel.23908371
title: Carbon capture via aqueous ionic liquids intelligent modelling

description: This data set includes a library for making intelligent models to predict the solubility of Carbon dioxide when water vapor also exists in the mixture in a variety of ionic liquids. Different ionic liquids are tested and modelled at different operating conditions (temperature, pressure, and concentrations of CO<sub>2</sub>). The results can help design an effective system for carbon capture.
DOI: 10.5517/ccdc.csd.cc29zm75
title: CCDC 2144587: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4ny3
title: CCDC 2149445: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4nz4
title: CCDC 2149446: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p06
title: CCDC 2149447: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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: 10.5281/zenodo.10042414
title: Dataset used in loop assessment
DOI: 10.5281/zenodo.10042415
title: Dataset used in loop assessment
DOI: 10.5281/zenodo.10043328
title: Dataset related to article "Proteomic aptamer analysis reveals serum biomarkers associated with disease mechanisms and phenotypes of systemic sclerosis"

description: This record contains data related to article "Proteomic aptamer analysis reveals serum biomarkers associated with disease mechanisms and phenotypes of systemic sclerosis".
Background: Systemic sclerosis (SSc) is an autoimmune connective tissue disease that affects multiple organs, leading to elevated morbidity and mortality with limited treatment options. The early detection of organ involvement is challenging as there is currently no serum marker available to predict the progression of SSc. The aptamer technology proteomic analysis holds the potential to correlate SSc manifestations with serum proteins up to femtomolar concentrations.
Methods: This is a two-tier study of serum samples from women with SSc (including patients with interstitial lung disease - ILD - at high-resolution CT scan) and age-matched healthy controls (HC) that were first analyzed with aptamer-based proteomic analysis for over 1300 proteins. Proposed associated proteins were validated by ELISA first in an independent cohort of patients with SSc and HC, and selected proteins subject to further validation in two additional cohorts.
Results: The preliminary aptamer-based proteomic analysis identified 33 proteins with significantly different concentrations in SSc compared to HC sera and 9 associated with SSc-ILD, including proteins involved in extracellular matrix formation and cell-cell adhesion, angiogenesis, leukocyte recruitment, activation, and signaling. Further validations in independent cohorts ultimately confirmed the association of specific proteins with early SSc onset, specific organ involvement, and serum autoantibodies.
Conclusions: Our multi-tier proteomic analysis identified serum proteins discriminating patients with SSc and HC or associated with different SSc subsets, disease duration, and manifestations, including ILD, skin involvement, esophageal disease, and autoantibodies.
DOI: 10.5281/zenodo.10043327
title: Dataset related to article "Proteomic aptamer analysis reveals serum biomarkers associated with disease mechanisms and phenotypes of systemic sclerosis"

description: This record contains data related to article "Proteomic aptamer analysis reveals serum biomarkers associated with disease mechanisms and phenotypes of systemic sclerosis".
Background: Systemic sclerosis (SSc) is an autoimmune connective tissue disease that affects multiple organs, leading to elevated morbidity and mortality with limited treatment options. The early detection of organ involvement is challenging as there is currently no serum marker available to predict the progression of SSc. The aptamer technology proteomic analysis holds the potential to correlate SSc manifestations with serum proteins up to femtomolar concentrations.
Methods: This is a two-tier study of serum samples from women with SSc (including patients with interstitial lung disease - ILD - at high-resolution CT scan) and age-matched healthy controls (HC) that were first analyzed with aptamer-based proteomic analysis for over 1300 proteins. Proposed associated proteins were validated by ELISA first in an independent cohort of patients with SSc and HC, and selected proteins subject to further validation in two additional cohorts.
Results: The preliminary aptamer-based proteomic analysis identified 33 proteins with significantly different concentrations in SSc compared to HC sera and 9 associated with SSc-ILD, including proteins involved in extracellular matrix formation and cell-cell adhesion, angiogenesis, leukocyte recruitment, activation, and signaling. Further validations in independent cohorts ultimately confirmed the association of specific proteins with early SSc onset, specific organ involvement, and serum autoantibodies.
Conclusions: Our multi-tier proteomic analysis identified serum proteins discriminating patients with SSc and HC or associated with different SSc subsets, disease duration, and manifestations, including ILD, skin involvement, esophageal disease, and autoantibodies.
DOI: 10.57724/gdc_20221221_goleta_magneto
title: GOLETA - Magnetotelluric Data 2022-2023
DOI: 10.6084/m9.figshare.24409453
title: Raw datebase

description: The file contains the raw results of the determination of biogenic amines and amino acids.
DOI: 10.5281/zenodo.10043493
title: Dataset of Israeli-Jews, Palestinians, Israeli-Arabs, Americans and Cypriot students' knowledge about the Israeli-Palestinian conflict before and after playing the PeaceMaker game

description: The dataset includes data from 168 undergraduate students from five different ethnic groups (31 Israeli Jews, 30 Palestinians, 35 Israeli-Arabs, 42 Americans, and 30 Cypriots) who participated in a quasi-experimental pre-test post-test research design and played the games PeaceMaker. Their knowledge about the Israeli-Palestinian conflict was measured before and after playing the game.
DOI: 10.5281/zenodo.10043492
title: Dataset of Israeli-Jews, Palestinians, Israeli-Arabs, Americans and Cypriot students' knowledge about the Israeli-Palestinian conflict before and after playing the PeaceMaker game

description: The dataset includes data from 168 undergraduate students from five different ethnic groups (31 Israeli Jews, 30 Palestinians, 35 Israeli-Arabs, 42 Americans, and 30 Cypriots) who participated in a quasi-experimental pre-test post-test research design and played the games PeaceMaker. Their knowledge about the Israeli-Palestinian conflict was measured before and after playing the game.
DOI: 10.57780/esa-t4y39mj
title: Mars_HRSC_High-Altitude-Mosaic_V1.0

description: Global mosaics of Mars produced from MEX/HRSC high-altitude campaign
DOI: 10.5517/ccdc.csd.cc2b4p17
title: CCDC 2149448: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p28
title: CCDC 2149449: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p39
title: CCDC 2149450: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p4b
title: CCDC 2149451: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p5c
title: CCDC 2149452: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p6d
title: CCDC 2149453: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p7f
title: CCDC 2149454: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p8g
title: CCDC 2149455: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4p9h
title: CCDC 2149456: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4pbj
title: CCDC 2149457: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4pck
title: CCDC 2149458: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4pdl
title: CCDC 2149459: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc2b4pfm
title: CCDC 2149460: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.