cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24893721
title: <b>Do rearing group-size and social rank influence the affective state of a cooperatively-breeding cichlid fish?</b>

description: Data JBT : dataset for the judgment bias test analysisData learning : dataset for the learning phase analysis
DOI: 10.6084/m9.figshare.24893721.v1
title: <b>Do rearing group-size and social rank influence the affective state of a cooperatively-breeding cichlid fish?</b>

description: Data JBT : dataset for the judgment bias test analysisData learning : dataset for the learning phase analysis
DOI: 10.12770/854b583a-b523-4b57-80d0-714bd35f2bea
title: DCSMM2024_D1C4 Distribution du dauphin de Risso en Atlantique entre 2015 et 2020

description: Données des campagnes MEGASCOPE en Atlantique et en Méditerranée Occidentale. Ces campagnes scientifiques internationales et nationales renseignent sur l'abondance et la distribution des cétacés.
DOI: 10.5281/zenodo.10375608
title: GNSS signals acquired by a Software Defined Radio (SDR) system subject to ionospheric scintillations

description: Global Navigation Satellite System (GNSS) signals crossing small-scale electron density irregularities in the ionosphere may be subject to rapid fluctuations of their amplitude and phase known as ionospheric scintillations. Ionospheric scintillations may cause cycle slips and loss of lock of the GNSS signals, thus hindering the accuracy and integrity of precise positioning applications. GNSS scintillation can be studied and monitored by processing the GNSS signals through dedicated ground-based monitoring equipment such as the Ionospheric Scintillation Monitoring Receiver (ISMR). Moreover, Software Defined Radio (SDR) equipment has been demonstrated as a powerful tool to support the analysis of GNSS signals subject to this kind of phenomena. 

This dataset contains 3 hours of GNSS signal acquired by an SDR system located in Lampedusa, Italy (lat:35.52, lon: 12.63). The dataset was acquired on the 23th March 2023, from 20 to 22 UTC. Within this timespan, a co-located ISMR receiver detected ionospheric scintillations on a few of the GNSS satellites in view. 

Besides the binary data from the SDR system, a json file containing the Scintillation Indices at 1 min resolution acquired by the ISMR receiver is also provided.
description: Instructions (SDR dataset): 

The dataset is collected in a folder named according to the notation YYMMDD. The folder contains hourly subfolders that include in turn the binary files. The binary files belonging to the dataset were downconverted through an USRP N210 from an original center frequency of 1575.43 MHz (GPS L1 Galileo E1) with a sampling frequency of 5 Msps (Mega samples per second). Quantizatization depth was set to 16 bit. Furthermore, the settings of the grabbing station are included in form of a MATLAB's .mat file named settings.mat.

The main settings to read the binary files of the dataset are reported as 





Intermediate frequency: 0 [MHz]




Data Type: Int16




Sampling mode: 'IQ' (In-Phase/Quadrature)



Please, refer to USRP documentation to read the data or contact the authors of the dataset.
description: Instructions (ISMR dataset): 

The dataset is collected in a json file called “ISMR_lam0p” containing the following parameters for each satellite links at 1 minute resolution (elevation > 5°):

-dt (date in UTC),

-PRN (GNSS satellite code),

-ipp_lat (Latitude of the Ionospheric Pierce Point at 350 km), 

-ipp_lon (Longitude of the Ionospheric Pierce Point at 350 km), 

-elevation, 

-azimuth, 

-phi60_l1_vert (Verticalized sigmaphi index on L1),

-phi60l1slant (salnt sigmaphi index on L1),

-s4_l1_vert (Verticalized S4 index on L1),

-s4_l1_slant (Slant S4 index on L1).

More information and this data can be found at http://eswua.ingv.it
DOI: 10.5281/zenodo.10375607
title: GNSS signals acquired by a Software Defined Radio (SDR) system subject to ionospheric scintillations

description: Global Navigation Satellite System (GNSS) signals crossing small-scale electron density irregularities in the ionosphere may be subject to rapid fluctuations of their amplitude and phase known as ionospheric scintillations. Ionospheric scintillations may cause cycle slips and loss of lock of the GNSS signals, thus hindering the accuracy and integrity of precise positioning applications. GNSS scintillation can be studied and monitored by processing the GNSS signals through dedicated ground-based monitoring equipment such as the Ionospheric Scintillation Monitoring Receiver (ISMR). Moreover, Software Defined Radio (SDR) equipment has been demonstrated as a powerful tool to support the analysis of GNSS signals subject to this kind of phenomena. 

This dataset contains 3 hours of GNSS signal acquired by an SDR system located in Lampedusa, Italy (lat:35.52, lon: 12.63). The dataset was acquired on the 23th March 2023, from 20 to 22 UTC. Within this timespan, a co-located ISMR receiver detected ionospheric scintillations on a few of the GNSS satellites in view. 

Besides the binary data from the SDR system, a json file containing the Scintillation Indices at 1 min resolution acquired by the ISMR receiver is also provided.
description: Instructions (SDR dataset): 

The dataset is collected in a folder named according to the notation YYMMDD. The folder contains hourly subfolders that include in turn the binary files. The binary files belonging to the dataset were downconverted through an USRP N210 from an original center frequency of 1575.43 MHz (GPS L1 Galileo E1) with a sampling frequency of 5 Msps (Mega samples per second). Quantizatization depth was set to 16 bit. Furthermore, the settings of the grabbing station are included in form of a MATLAB's .mat file named settings.mat.

The main settings to read the binary files of the dataset are reported as 





Intermediate frequency: 0 [MHz]




Data Type: Int16




Sampling mode: 'IQ' (In-Phase/Quadrature)



Please, refer to USRP documentation to read the data or contact the authors of the dataset.
description: Instructions (ISMR dataset): 

The dataset is collected in a json file called “ISMR_lam0p” containing the following parameters for each satellite links at 1 minute resolution (elevation > 5°):

-dt (date in UTC),

-PRN (GNSS satellite code),

-ipp_lat (Latitude of the Ionospheric Pierce Point at 350 km), 

-ipp_lon (Longitude of the Ionospheric Pierce Point at 350 km), 

-elevation, 

-azimuth, 

-phi60_l1_vert (Verticalized sigmaphi index on L1),

-phi60l1slant (salnt sigmaphi index on L1),

-s4_l1_vert (Verticalized S4 index on L1),

-s4_l1_slant (Slant S4 index on L1).

More information and this data can be found at http://eswua.ingv.it
DOI: 10.5517/ccdc.csd.cc2gz6th
title: CCDC 2293157: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz6vj
title: CCDC 2293158: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz6wk
title: CCDC 2293159: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz6xl
title: CCDC 2293160: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz6ym
title: CCDC 2293161: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz6zn
title: CCDC 2293162: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz70q
title: CCDC 2293163: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz71r
title: CCDC 2293164: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz72s
title: CCDC 2293165: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gz73t
title: CCDC 2293166: Experimental Crystal Structure Determination

description: Related Article: Han-Fang Hsu, Guan-Lin Liu, Yu-Chia Su, Bao-Tsan Ko|2023|Dalton Trans.|53|299|doi:10.1039/D3DT03084A
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.cc2gzvht
title: CCDC 2293767: Experimental Crystal Structure Determination

description: Related Article: Madhuparna Chakraborty, Manab Chakravarty|2023|Materials Today Chemistry|35|101836|doi:10.1016/j.mtchem.2023.101836
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.cc2h00bw
title: CCDC 2293917: Experimental Crystal Structure Determination

description: Related Article: Shiva Panbarasu, Ankur Khapre, Melchi Chosenyah, Avulu Vinod Kumar, Rajadurai Chandrasekar|2023|Chem.Mater.|35|10169|doi:10.1021/acs.chemmater.3c02369
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: 10.12770/75ae9d65-c3d8-45eb-a5aa-4f28947fffe9
title: DCSMM2024_D1C4 Distribution du grand dauphin en Atlantique et Méditerranée Occidentale entre 2012 et 2020

description: Données des campagnes MEGASCOPE en Atlantique et en Méditerranée Occidentale. Ces campagnes scientifiques internationales et nationales renseignent sur l'abondance et la distribution des cétacés.
DOI: 10.6084/m9.figshare.24893715
title: Baltic and South Caucasian Technology and Agriculture Exports to the Russian Federation (January 2020 - July 2023).

description: Datasets used for writing the article "Friend or Foe? Comparative Analysis of South Caucasian and Baltic Technology Exports to the Russian Federation" considered for publication in "Post-Soviet Affairs" journal.
DOI: 10.6084/m9.figshare.24893715.v2
title: Baltic and South Caucasian Technology and Agriculture Exports to the Russian Federation (January 2020 - July 2023).

description: Datasets used for writing the article "Friend or Foe? Comparative Analysis of South Caucasian and Baltic Technology Exports to the Russian Federation" considered for publication in "Post-Soviet Affairs" journal.
DOI: 10.6084/m9.figshare.24893715.v1
title: Baltic and South Caucasian Technology and Agriculture Exports to the Russian Federation (January 2020 - July 2023)

description: Datasets used for writing an article.
DOI: 10.12770/8db5c537-fa8d-468f-b741-695014d1eb02
title: DCSMM2024_D1C4 Distribution du globicéphale noir en Atlantique et Méditerranée Occidentale entre 2012 et 2020

description: Données des campagnes MEGASCOPE en Atlantique et en Méditerranée Occidentale. Ces campagnes scientifiques internationales et nationales renseignent sur l'abondance et la distribution des cétacés.
DOI: 10.15161/oar.it/143277
title: Carta Geologica d'Italia alla scala 1:50.000, F. 587-600 Milazzo-Barcellona-Pozzo di Gotto

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2006 e il 2009) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/143276
title: Carta Geologica d'Italia alla scala 1:50.000, F. 587-600 Milazzo-Barcellona-Pozzo di Gotto

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2006 e il 2009) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.34740/kaggle/dsv/7260607
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.12770/b47ab767-b45b-414c-8824-bc6eaa69780a
title: DCSMM2024_D1C4 Distribution du rorqual commun en Atlantique et Méditerranée Occidentale entre 2012 et 2020

description: Données des campagnes MEGASCOPE en Atlantique et en Méditerranée Occidentale. Ces campagnes scientifiques internationales et nationales renseignent sur l'abondance et la distribution des cétacés.
DOI: 10.6084/m9.figshare.20452398
title: Ultrasonic-assisted synthesis of wood-aluminium-based sorbents: Comparison with conventional preparation and evaluation of chromium removal

description: An oak tree sawdust modiﬁed by aluminium was synthesized by a simple and facile one-stage sonochemical synthesis method. The synthesis reaction time decreases about 5 folds using ultrasonic energy compared to the conventional method without sonication. The obtained sorbents synthesized with and without sonication were characterized for their surface morphology, elemental composition, functionality, and crystallinity by SEM, EDX, FT-IR, and XRD, respectively. The performance of sorbents was evaluated using a time-dependent batch sorption protocol for the removal of Cr(VI) ions from aqueous media. The sorption mechanism was best described by the Langmuir isotherm followed pseudo-second-order kinetics. The maximal sorption capacity of sonicated sorbent for Cr(VI) ion removal was 104.2 mg/g. The obtained material was successfully applied to a real wastewater sample for the removal of Cr(VI) ions.
DOI: 10.6084/m9.figshare.20452398.v1
title: Ultrasonic-assisted synthesis of wood-aluminium-based sorbents: Comparison with conventional preparation and evaluation of chromium removal

description: An oak tree sawdust modiﬁed by aluminium was synthesized by a simple and facile one-stage sonochemical synthesis method. The synthesis reaction time decreases about 5 folds using ultrasonic energy compared to the conventional method without sonication. The obtained sorbents synthesized with and without sonication were characterized for their surface morphology, elemental composition, functionality, and crystallinity by SEM, EDX, FT-IR, and XRD, respectively. The performance of sorbents was evaluated using a time-dependent batch sorption protocol for the removal of Cr(VI) ions from aqueous media. The sorption mechanism was best described by the Langmuir isotherm followed pseudo-second-order kinetics. The maximal sorption capacity of sonicated sorbent for Cr(VI) ion removal was 104.2 mg/g. The obtained material was successfully applied to a real wastewater sample for the removal of Cr(VI) ions.
DOI: 10.5281/zenodo.10423426
title: Dataset for Machine Learning Assisted Citation Screening for Systematic Reviews

description: The work "Machine Learning Assisted Citation Screening for Systematic Reviews" explored the problem of citation screening automation using machine-learning (ML) with an aim to accelerate the process of generating systematic reviews. Manual process of citation screening involve two reviewers manually screening the searched studies using a predefined inclusion criteria. If the study passes the "inclusion" criteria, it is included for further analysis or is excluded. As apparant through manual screening process, the work considered citation screening as a binary classification problem whereby any ML classifier could be trained to separate the searched studies into these two classes (include and exclude).

 

A physiotherapy citation screening dataset was used to test automation approaches and the dataset includes the studies identified for citation screening in an update to the systematic review by Hilfiker et al. The dataset included titles and abstracts (citations) from 31,279 (deduplicated: 25,540) studies identified during the search phase of this SR. These studies were already manually assessed for relevance and labelled by two reviewers into two mutually exclusive labels. The uploaded file consists of 25,540 data samples, with each data sample separated by a new line. It is a tab separated file and the data in it is structured as shown below. This dataset was manually labelled into include and exclude by Hilfiker et al.

 




Title
PMID
Abstract 
Class
MeSH terms (separated by a pipe)


Structured exercise improves physical functioning in women with stages I and II breast cancer: results of a randomized controlled trial.  
11157015
Abstract PURPOSE: Self-directed and supervised exercise were compared with usual care in a clinical trial designed to evaluate the effect of structured exercise on physical functioning and other dimensions of health-related quality of life in women with stages I and II breast cancer. PATIENTS AND METHODS: One hundred twenty-three women with stages I and II breast cancer completed baseline evaluations of generic and disease- and site-specific health-related quality of life, aerobic capacity, and body weight. Participants were randomly allocated to one of three intervention groups: usual care (control group), self-directed exercise, or supervised exercise. Quality of life, aerobic capacity, and body weight measures were repeated at 26 weeks...
include or exclude
Clinical Trial | Comparative Study | Randomized Controlled Trial | Research Support, Non-U.S. Gov't | Antineoplastic Combined Chemotherapy Protocols | Breast Neoplasms | Breast Neoplasms | Breast Neoplasms | Chemotherapy, Adjuvant | Exercise | Female | Humans | Middle Aged | Neoplasm Staging | Quality of Life | Radiotherapy, Adjuvant




 

If you use this dataset in your research, please cite our papers.