cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10403671
title: Database of 'Resonant Electron Signatures in the Formation of Chorus Wave Subpackets'
DOI: 10.5281/zenodo.10403672
title: Database of 'Resonant Electron Signatures in the Formation of Chorus Wave Subpackets'
DOI: 10.5281/zenodo.10408251
title: Experimental validation of simplicial complexes in multivariable coupled oscillators. Coupling: Lineal (Class III) vs NoLineal (Class II)

description: The data sets correspond to the experimental implementation of synchronization phenomenon in simplicial complexes. In this particular case, the simplicial complex consists of 3-node network, where each node is an electronic Rössler-like oscillator whose parameters were fixed to operate in chaotic regime. In simplicial complexes, it is possible to model two types of interactions among nodes: pair-wise interactions (linear interactions) and high-order interactions (non-linear interactions).

The complete experiment consists of coupling simultaneously by means of linear and non-linear interactions the simplicial complex, the coupling occurs in state variables x (class III) and y (class II). The full data sets are organized in four Dataset (second), whose name explicitly indicates in which state variable occurs each coupling. In these case, Linearx-nonlineary means that the linear coupling occurs in variable x (class III) whereas the non-linear coupling occurs in variable y (class II).

Now, each folder contains 10000 files which come from varying the linear coupling and the nonlinear coupling 100 times each one. The file name is composed as follows: rootname XX YY, where XX corresponds to the variation number in linear coupling, whereas YY corresponds to the variation number in non-linear coupling.

Internally in each file we can find 6 columns and 30,000 rows. Each pair of columns corresponds to the x and y variables of each oscillator and the rows correspond to time-varying samples.
DOI: 10.6084/m9.figshare.24618996
title: [Data] Estimating population size and monitoring the endangered mahogany glider: an occupancy and abundance assessment

description: Accompanying the article 'Estimating Population Size and Monitoring the Endangered Mahogany Glider: An Occupancy and Abundance Assessment,' this dataset includes relevant data and analysis scripts. These resources are shared to support and enhance the reproducibility of the research findings.
DOI: 10.6084/m9.figshare.24618996.v1
title: [Data] Estimating population size and monitoring the endangered mahogany glider: an occupancy and abundance assessment

description: Accompanying the article 'Estimating Population Size and Monitoring the Endangered Mahogany Glider: An Occupancy and Abundance Assessment,' this dataset includes relevant data and analysis scripts. These resources are shared to support and enhance the reproducibility of the research findings.
DOI: 10.5517/ccdc.csd.cc2fft5w
title: CSD 2247598: Experimental Crystal Structure Determination

description: Related Article: Jan P. Scheifers, Michael Küpers, Nika G. Bakshi, Rashid St. Touzani, Fabian C. Gladisch, Ute Ch. Rodewald, Rainer Pöttgen, Boniface P. T. Fokwa|2023|Inorg.Chem.|62|8670|doi:10.1021/acs.inorgchem.3c00837
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2fg277
title: CSD 2247848: Experimental Crystal Structure Determination

description: Related Article: Masayuki Fukuda, Takumi Nishikubo, Hongwu Yu, Yoichi Okimoto, Shin-ya Koshihara, Kazunari Yamaura, Masaki Azuma|2023|Inorg.Chem.|62|8372|doi:10.1021/acs.inorgchem.3c00940
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fg615
title: CCDC 2247966: Experimental Crystal Structure Determination

description: Related Article: Li Xing, Youshan An, Yishan Qin, Hui Xin, Tianyu Deng, Kaini Meng, Da Liu, Wei Xue|2023|New J.Chem.|48|117|doi:10.1039/D3NJ04902G
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: 10.25505/fiz.icsd.cc2dptzx
title: CSD 2225520: Experimental Crystal Structure Determination

description: Related Article: Gougeon, P., Gall, P.|2023|ICSD Communication|||
description: Related Article: Philippe Gall, Thierry Guizouarn, Patrick Gougeon|2023|Inorg.Chem.|62|6011|doi:10.1021/acs.inorgchem.2c04518
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dzxx7
title: CCDC 2234260: Experimental Crystal Structure Determination

description: Related Article: S.M. Rodriguez, Y.N. Motta, M.R. Hill, L.M. Oelke, C.C. Carter, T.R. Cundari, M. Yousufuddin|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|158|doi:10.1107/S2053229623002395
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: 10.25505/fiz.icsd.cc2f33f3
title: CSD 2237314: Experimental Crystal Structure Determination

description: Related Article: Valeriy Yu. Verchenko, Alexander V. Kanibolotskiy, Ivan V. Chernoukhov, Kirill A. Cherednichenko, Alexey V. Bogach, Konstantin O. Znamenkov, Alexey V. Sobolev, Iana S. Glazkova, Igor A. Presniakov, Andrei V. Shevelkov|2023|Inorg.Chem.|62|7557|doi:10.1021/acs.inorgchem.3c00912
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2fgy51
title: CSD 2248683: Experimental Crystal Structure Determination

description: Related Article: Adam A. King, Logan S. Breton, Greg Morrison, Mark D. Smith, Mingli Liang, P. Shiv Halasyamani, Hans-Conrad zur Loye|2023|Inorg.Chem.|62|7446|doi:10.1021/acs.inorgchem.3c00708
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25919/0g87-n196
title: Parkes observations for project P737 semester 2023OCTS_03

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.25919/2980-hm46
title: Parkes observations for project P1219 semester 2023OCTS_10

description: The magnetic field potentially regulates the process of star formation and the evolution of molecular clouds. It is inherently difficult to measure interstellar magnetic field strengths, with the measurement of Zeeman splitting a unique method to estimate the magnetic field strength along the line of sight directly. Despite the detection of Zeeman splitting in other mediums, there are as yet no Zeeman detections against compact background sources in quiescent molecular clouds or the cold neutral medium. Pulsars with extremely small solid angles and relatively high transverse velocities are ideal background sources to study the magnetic field in molecular clouds, providing a distinct signal to measure splitting against. There are four pulsars with OH absorption detections, namely PSR B1849+00, B1641-45, B1718-35, and B1749-28. We propose to utilize these four pulsars to explore the properties of the magnetic field and its variations within molecular clouds through both the Zeeman splitting of OH absorption and rotation measure estimations, between epochs. If a detection is confirmed, it will open a new window on the hard-to-measure magnetic fields in molecular clouds, independent of interpretation, thus shedding light on the physics of star formation and the interstellar medium.
DOI: 10.5281/zenodo.10416767
title: NCOMMS-23-27903B data
DOI: 10.5281/zenodo.10416768
title: NCOMMS-23-27903B data
DOI: 10.6084/m9.figshare.24882402
title: <b>Data to research on high performance combustible gas concentration sensor based on pyramid beam splitter matrix</b>

description: Combustible gas concentration detection; Redundant sensor; Pyramidal beam splitter matrix; Signal superposition technology; Chirp z-transform
DOI: 10.6084/m9.figshare.24882402.v1
title: <b>Data to research on high performance combustible gas concentration sensor based on pyramid beam splitter matrix</b>

description: Combustible gas concentration detection; Redundant sensor; Pyramidal beam splitter matrix; Signal superposition technology; Chirp z-transform
DOI: 10.6084/m9.figshare.24882699
title: Underlying Data.xlsx

description: The GDP of ASEAN member states is crucial for determining their economic growth. Factors such as foreign direct investment (FDI), tourism, banking credit, and inflation rates play a significant role in boosting GDP. High inflation can lead to economic instability, particularly for developing countries like those in ASEAN. The ASEAN Economic Community (AEC) aims to address these issues by promoting tourism, increasing investment, and offering low-interest credit to businesses. A study was conducted to analyze the impact of FDI, foreign visitors, bank credit, and inflation on the GDP of ASEAN member nations. The findings revealed that while inflation has a negative impact on GDP, FDI, tourism, and bank credit have a positive impact.
DOI: 10.6084/m9.figshare.24882390
title: The genome assembly of Anisodus tanguticus

description: The genome assembly of Anisodus tanguticus
DOI: 10.6084/m9.figshare.24882390.v1
title: The genome assembly of Anisodus tanguticus

description: The genome assembly of Anisodus tanguticus
DOI: 10.5281/zenodo.8283060
title: Dataset for  the paper  "The magnetopause deformation indicated by fast cold ion motion"

description: This dataset is used for the paper "The magnetopause deformation indicated by fast cold ion motion" and contains pubilicly available data of MMS dayside magnetopause crossing events with fast cold ion motion from 2015 to 2021, which includes crossing time and position, solar wind parameters (dynamic pressure, IMF, solar wind speed), the normals from the model (Shue97) and observations (Timing and MVA methods), the normal speed of magnetopause (VMP) from Timing method, the component speeds of cold ion along normal and tangential directions, the deflection angle between the observed magnetopause normal and the prediction, and the magnetopause deformation amplitude of each event in geocentric solar magnetospheric (GSM) coordinates.
DOI: 10.6084/m9.figshare.24882360
title: genome assembly and annotation of heat tolerant raspberry Rubus leucanthus

description: Raspberry trees were popular fruits around the world, and most of them were from temperate areas and thus sensitive to heat stress. In tropical South China, there were some wild raspberry trees, and these wild crop relatives provide opportunities for genetic breed on themotolerance. So we sequenced Rubus leucanthus using pacBio CLR and Hi-C technology, this species is common in subtropical China, and heat tolerant, we explored the possible mechanisms for this trait
DOI: 10.5281/zenodo.7020827
title: Imaging MS data of Ciona brain No. 1

description: Imaging MS data of the Ciona brain. 10 um sections. Apparatus: Bruker rapifleX.
DOI: 10.5281/zenodo.7121588
title: Imaging MS data of Ciona brain No. 2

description: Imaging MS data of the Ciona brain. 10 um sections. Apparatus: Bruker rapifleX.
DOI: 10.34740/kaggle/dsv/7251810
title: Disaster Waste Dataset
DOI: 10.5281/zenodo.7141208
title: Imaging MS data of Ciona brain No. 3

description: Imaging MS data of the Ciona brain. 10 um sections. Apparatus: Bruker rapifleX.
DOI: 10.5281/zenodo.7141212
title: Imaging MS data of Ciona brain No. 4

description: Imaging MS data of the Ciona brain. 10 um sections. Apparatus: Bruker rapifleX.
DOI: 10.5281/zenodo.7141200
title: Peptide mapping images of Ciona brain

description: Peptide mapping images of the Ciona cerebral ganglion. GIMP format.
DOI: 10.34740/kaggle/ds/4201672
title: Disaster Waste Dataset
DOI: 10.5281/zenodo.10278852
title: Imaging MS colocalization data 1

description: Data of co-localization analysis and images. Zip file includes colocalized data tables. The file names indicate mass values of peptides.
DOI: 10.5281/zenodo.10279155
title: Imaging MS colocalization data 2

description: Data of co-localization analysis and images. Zip file includes colocalized data tables. The file names indicate mass values of peptides.
DOI: 10.5281/zenodo.10279437
title: Imaging MS colocalization data 3

description: Data of co-localization analysis and images. Zip file includes colocalized data tables. The file names indicate mass values of peptides.
DOI: 10.6084/m9.figshare.24883467
title: Additional file 1 of Evaluation of ‘implications for research’ statements in systematic reviews of interventions in advanced cancer patients – a meta-research study

description: Additional file 1.
DOI: 10.6084/m9.figshare.24883467.v1
title: Additional file 1 of Evaluation of ‘implications for research’ statements in systematic reviews of interventions in advanced cancer patients – a meta-research study

description: Additional file 1.
DOI: 10.6084/m9.figshare.24883601
title: Additional file 1 of Instrumental variables for implementation science: exploring context-dependent causal pathways between implementation strategies and evidence-based interventions

description: Additional file 1.
DOI: 10.6084/m9.figshare.24883601.v1
title: Additional file 1 of Instrumental variables for implementation science: exploring context-dependent causal pathways between implementation strategies and evidence-based interventions

description: Additional file 1.
DOI: 10.26036/cnp0003657
title: Complete mitochondrial genome sequence and comparative analysis with mitochondrial genomes of other plants

description: In this study, we assembled and annotated the mitogenome of two Dactylis species. The results of our analyses provide comprehensive information on the Dactylis species mitogenome, which would facilitate evolutionary research and molecular barcoding in Dactylis.
DOI: 10.34740/kaggle/ds/4201777
title: Pharmaceutical and Biomedical Waste
DOI: 10.6084/m9.figshare.21455922
title: <b>Growing-season climate as an explanation of spatial variations in temperature sensitivity of green-up on Tibetan Plateau</b>

description:  The processed data used for analyses.
DOI: 10.6084/m9.figshare.24883824
title: Data - Mental Metropolis: Navigating the Urban Landscape of Mental Disorders in SAARC Nations

description: Data set
DOI: 10.6084/m9.figshare.24883824.v1
title: Data - Mental Metropolis: Navigating the Urban Landscape of Mental Disorders in SAARC Nations

description: Data set
DOI: 10.5281/zenodo.8424411
title: CM2.1 Model Data

description: GFDL-CM2.1 Model Volcanic and non-volcanic (i.e., Control) simulation data:


This data is for the positive ENSO phase (PENSO, 8 realizations), negative ENSO (NENSO, 8 realizations), and Neutral (NEUTRAL, 8 realizations) cases. There is also one corresponding control each for PENSO, NENSO, and Neutral case. A long control run used to initialize the volcanic experiments with different ENSO phases (PENSO, NENSO, and NEUTRAL) is also included. The model output files are explained below.


1. Volcanic simulation data files produced by initializing the model with a positive ENSO phase (PENSO) are named as follows:


t_surf_ps_VOL_R8_PENSO_REALIZATION1.nc , t_surf_ps_VOL_RR1_PENSO_REALIZATION2.nc t_surf_ps_VOL_RR2_PENSO_REALIZATION3.nc , t_surf_ps_VOL_RR4_PENSO_REALIZATION4.nc t_surf_ps_VOL_RR5_PENSO_REALIZATION5.nc , t_surf_ps_VOL_RR6_PENSO_REALIZATION6.nc t_surf_ps_VOL_RR7_PENSO_REALIZATION7.nc , t_surf_ps_VOL_RR9_PENSO_REALIZATION8.nc 


2. Volcanic simulation data files produced by initializing the model with the NEUTRAL phase are named as follows:


t_surf_ps_VOL_NNN1_NEUTRAL_REALIZATION1.nc , t_surf_ps_VOL_NNN1_1_NEUTRAL_REALIZATION2.nc  t_surf_ps_VOL_NNN1_2_NEUTRAL_REALIZATION3.nc, t_surf_ps_VOL_NNN1_3_NEUTRAL_REALIZATION4.nc t_surf_ps_VOL_NNN1_4_NEUTRAL_REALIZATION5.nc , t_surf_ps_VOL_NNN1_5_NEUTRAL_REALIZATION6.nc t_surf_ps_VOL_NNN1_7_NEUTRAL_REALIZATION7.nc , t_surf_ps_VOL_NNN1_8_NEUTRAL_REALIZATION8.nc 


3. Volcanic simulation data files produced by initializing the model with a negative ENSO phase (NENSO) are named as follows:


t_surf_ps_VOL_RR_TEST_RR1_NENSO_REALIZATION1.nc, t_surf_ps_VOL_RR_TEST_RR2_NENSO_REALIZATION2.nc 


t_surf_ps_VOL_RR_TEST_RR3_NENSO_REALIZATION3.nc, t_surf_ps_VOL_RR_TEST_RR4_NENSO_REALIZATION4.nc 


t_surf_ps_VOL_RR_TEST_RR5_NENSO_REALIZATION5.nc, t_surf_ps_VOL_RR_TEST_RR6_NENSO_REALIZATION6.nc 


t_surf_ps_VOL_RR_TEST_RR7_NENSO_REALIZATION7.nc, t_surf_ps_VOL_RR_TEST_RR9_NENSO_REALIZATION8.nc 


4. Each experiment (PENSO, NEUTRAL, and NENSO) has its corresponding control runs which are named as follows:


t_surf_ps_NVOL_RR9_PENSO_CONTROL.nc (PENSO Control)
t_surf_ps_NVOL_NNN1_NEUTRAL_CONTROL.nc (NEUTRAL Control)
t_surf_ps_NVOL_RR_TEST_RR1_NENSO_CONTROL.nc  (NENSO control)


5. The long control run (used to initialize the aforementioned volcanic with three ENSO cases) is named as follows:


t_surf_LONG_CONTROL.nc
DOI: 10.5281/zenodo.8424412
title: CM2.1 Model Data

description: GFDL-CM2.1 Model Volcanic and non-volcanic (i.e., Control) simulation data:


This data is for the positive ENSO phase (PENSO, 8 realizations), negative ENSO (NENSO, 8 realizations), and Neutral (NEUTRAL, 8 realizations) cases. There is also one corresponding control each for PENSO, NENSO, and Neutral case. A long control run used to initialize the volcanic experiments with different ENSO phases (PENSO, NENSO, and NEUTRAL) is also included. The model output files are explained below.


1. Volcanic simulation data files produced by initializing the model with a positive ENSO phase (PENSO) are named as follows:


t_surf_ps_VOL_R8_PENSO_REALIZATION1.nc , t_surf_ps_VOL_RR1_PENSO_REALIZATION2.nc t_surf_ps_VOL_RR2_PENSO_REALIZATION3.nc , t_surf_ps_VOL_RR4_PENSO_REALIZATION4.nc t_surf_ps_VOL_RR5_PENSO_REALIZATION5.nc , t_surf_ps_VOL_RR6_PENSO_REALIZATION6.nc t_surf_ps_VOL_RR7_PENSO_REALIZATION7.nc , t_surf_ps_VOL_RR9_PENSO_REALIZATION8.nc 


2. Volcanic simulation data files produced by initializing the model with the NEUTRAL phase are named as follows:


t_surf_ps_VOL_NNN1_NEUTRAL_REALIZATION1.nc , t_surf_ps_VOL_NNN1_1_NEUTRAL_REALIZATION2.nc  t_surf_ps_VOL_NNN1_2_NEUTRAL_REALIZATION3.nc, t_surf_ps_VOL_NNN1_3_NEUTRAL_REALIZATION4.nc t_surf_ps_VOL_NNN1_4_NEUTRAL_REALIZATION5.nc , t_surf_ps_VOL_NNN1_5_NEUTRAL_REALIZATION6.nc t_surf_ps_VOL_NNN1_7_NEUTRAL_REALIZATION7.nc , t_surf_ps_VOL_NNN1_8_NEUTRAL_REALIZATION8.nc 


3. Volcanic simulation data files produced by initializing the model with a negative ENSO phase (NENSO) are named as follows:


t_surf_ps_VOL_RR_TEST_RR1_NENSO_REALIZATION1.nc, t_surf_ps_VOL_RR_TEST_RR2_NENSO_REALIZATION2.nc 


t_surf_ps_VOL_RR_TEST_RR3_NENSO_REALIZATION3.nc, t_surf_ps_VOL_RR_TEST_RR4_NENSO_REALIZATION4.nc 


t_surf_ps_VOL_RR_TEST_RR5_NENSO_REALIZATION5.nc, t_surf_ps_VOL_RR_TEST_RR6_NENSO_REALIZATION6.nc 


t_surf_ps_VOL_RR_TEST_RR7_NENSO_REALIZATION7.nc, t_surf_ps_VOL_RR_TEST_RR9_NENSO_REALIZATION8.nc 


4. Each experiment (PENSO, NEUTRAL, and NENSO) has its corresponding control runs which are named as follows:


t_surf_ps_NVOL_RR9_PENSO_CONTROL.nc (PENSO Control)
t_surf_ps_NVOL_NNN1_NEUTRAL_CONTROL.nc (NEUTRAL Control)
t_surf_ps_NVOL_RR_TEST_RR1_NENSO_CONTROL.nc  (NENSO control)


5. The long control run (used to initialize the aforementioned volcanic with three ENSO cases) is named as follows:


t_surf_LONG_CONTROL.nc
DOI: 10.25403/upresearchdata.24874158
title: Study findings of Cameroonian Presbyterian school leadership

description: This data was gathered regarding an investigation on school leadership connection to student learning through the context, in Cameroonian Presbyterian schools. A qualitative research approach was employed in the collection of data through semi-structured-in-depth interviews and document analysis. Six Cameroonian Presbyterian secondary schools were conveniently selected. Criterion sampling was used to determine the characteristics of those who participated. There were fifty-four Participants; six principals, twelve teachers and thirty-six students. Data was manually analyzed, thematically. The data showed that many principals could not establish the relationship between context and student learning owing to inadequate leadership preparation and therefore could not connect their roles to student learning via the creation of conducive learning context. The data also established that a disconnection exists between school leadership and student learning in Cameroonian Presbyterian secondary schools, resulting to unsafe environments for students and even teachers. This data further reveal that school leaders face challenges which limit their abilities to create school climate that fosters effective student learning, such as lack of basic institutional resources. The data has equally provided some proposed actions needed to salvage this situation.