cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8069020
title: Urban Land Use Dataset (1964-2001) of Maputo city, Mozambique

description: This dataset comprises land use maps of Maputo city, with exception of the KaTembe urban district, for the years 1964, 1973, 1982, 1991 and 2001. It is the digital version of the land use maps published by Henriques [1] and revised under the LUCO research project. The land use of Maputo city was identified from: i) aerial photographs (1964, 1982, 1991), orthophoto maps (1973) and IKONOS images (2001); ii) documentary sources, such as the Urbanization Master Plan (1969) and the Maputo City Addressing (1997); iii) the recognition made during several field survey campaigns. The methodology is described in Henriques [1]. Land use was classified into three levels, resulting from a hierarchical classification system, including descriptive and parametric classes. Levels I and II are available in this repository. Level I, composed by 10 classes, contains the main forms of occupation: built-up areas (residential, economic activity, equipment, and infrastructure) and non-built-up areas (vacant or "natural"). It is geared towards analyses that serve policymaking and resource management at the regional or national scale [1]. Level II, composed by 31 classes, discriminates the higher hierarchical level according to its functional land use to become useful for municipal planning and management in municipal master plans, for example [1]. Maps are available in shapefile format and include predefined symbology-legend files, for QGIS and ArcGIS (v.10.7 or higher). The urban land use classes are described in Portuguese and English, and their meaning is provided as an accompanying document (ULU_Maputo_Nomenclatura_PT.pdf / ULU_Maputo_Nomenclature_EN.pdf). Data format: vector (shapefile, polygon) Reference system: WGS84, UTM 36S (EPSG:32736) Original minimum mapping unit: 25 m2 Urban Land Use dataset attributes: [N_I_C] – code of level I [N_I_D_PT] – name of level I, in Portuguese [N_I_D_EN] - name of level I, in English [N_II_C] – code of level II [N_II_D_PT] - name of level II, in Portuguese [N_II_D_EN] - name of level II, in English Funding: this research was supported by national funds through FCT – Fundação para a Ciência e Tecnologia, I.P. Project number: FCT AGA-KHAN/ 541731809 / 2019 [1] Henriques, C.D. (2008). <em>Maputo. Cinco décadas de mudança territorial. </em><em>O uso do solo observado por tecnologias de informação geográfica</em> [<em>Maputo. </em><em>Five decades of territorial transformation. Land use assessed by geographical information technologies</em>]. Lisboa, Instituto Português de Apoio ao Desenvolvimento (ISBN: 978-972-8975-22-7).
description: Funding: this research was supported by national funds through FCT – Fundação para a Ciência e Tecnologia, I.P. Project number: FCT AGA-KHAN/ 541731809 / 2019
DOI: 10.5281/zenodo.8088739
title: HoloFood Data Portal Samples

description: HoloFood data portal table with full list of samples contained within the portal
DOI: 10.5281/zenodo.8088740
title: HoloFood Data Portal Samples

description: HoloFood data portal table with full list of samples contained within the portal
DOI: 10.14473/csda/75xsbt/qadxzf
title: zbp_w25_fromWide_FIN.tab

description: Data
DOI: 10.14473/csda/75xsbt/rna7cq
title: TI_ZBP_vlna1az34.pdf

description: Technická informace 1. až 34. vlna
DOI: 10.14473/csda/75xsbt/icises
title: OM03_ZBP_vlna1az34.sps

description: Ostatní materiály 03 - skript příjem ekvivalizace
DOI: 10.14473/csda/75xsbt/bovxth
title: OM02_ZBP_vlna1az34.tab

description: Ostatní materiály 02 - Seznam proměnných
DOI: 10.14473/csda/75xsbt/e1l7c4
title: D_ZBP_vlna1az34.pdf

description: Dotazník 1. až 34. vlna
DOI: 10.14473/csda/75xsbt/9het2o
title: OM01_ZBP_vlna1az34.pdf

description: Ostatní materiály 01 - Dokumentace k veřejnému datovému souboru
DOI: 10.5281/zenodo.8089296
title: Simulated_bending_spectras_and_NN_network

description: This folder is used as a supplementary material for article "Fiber shape sensing using Long Period Fiber Grating and Machine Learning Numerical analysis". It comprises first matlab generated data in the form of fiber random bending profiles and their associated LPG spectral transmission, as calculated with coupled-mode-theory. Then, the data has been used to train a keras NN model, that is also given in the folder.
DOI: 10.17632/rfpbzcf6hr.1
title: A comprehensive longitudinal study of magnetic resonance imaging identifies novel features of the Mecp2 deficient mouse brain 

description: Rett syndrome (RTT) is a X-linked neurodevelopmental disorder which represents the leading cause of severe incurable intellectual disability in females worldwide. The vast majority of RTT cases are caused by mutations in the X-linked MECP2 gene, and preclinical studies on RTT largely benefit from the use of mouse models of Mecp2, which present a broad spectrum of symptoms phenocopying those manifested by RTT patients.  
Neurons represent the core targets of the pathology; however, neuroanatomical abnormalities that regionally characterize the Mecp2 deficient mammalian brain remain ill-defined.
Neuroimaging techniques, such as MRI and MRS, represent a key approach for assessing in vivo anatomic and metabolic changes in brain. Being non-invasive, these analyses also permit to investigate how the disease progresses over time through longitudinal studies.
To foster the biological comprehension of RTT and identify useful biomarkers, we have performed a thorough in vivo longitudinal study of MRI and MRS in Mecp2 deficient mouse brains. Analyses were performed on both genders of two different mouse models of RTT, using an automatic atlas-based segmentation tool that permitted to obtain a detailed and unbiased description of the whole RTT mouse brain. We found that the most robust alteration of the RTT brain consists in an overall reduction of the brain volume. Accordingly, Mecp2 deficiency generally delays brain growth, eventually leading, in heterozygous older animals, to stagnation and/or contraction. Most but not all brain regions participate to the observed deficiency in brain size; similarly, the volumetric defect progresses diversely in different brain areas also depending on the specific Mecp2 genetic lesion and gender. Interestingly, in some regions volumetric defects anticipate overt symptoms, possibly revealing where the pathology originates and providing a useful biomarker for assessing drug efficacy in pre-clinical studies.

DOI: 10.1016/j.nbd.2023.106083
DOI: 10.14473/csda/zncgtd/d49ku4
title: OM01_ZBP_vlna1az34.pdf

description: Ostatní materiály 01 - Dokumentace k veřejnému datovému souboru
DOI: 10.14473/csda/zncgtd/ypw66a
title: D_ZBP_vlna1az34.pdf

description: Dotazník 1. až 34. vlna
DOI: 10.14473/csda/zncgtd/yxycuw
title: OM03_ZBP_vlna1az34.sps

description: Ostatní materiály 03 - skript příjem ekvivalizace
DOI: 10.14473/csda/zncgtd/s9kwci
title: zbp_w26_fromWide_FIN.tab

description: :unav
DOI: 10.14473/csda/zncgtd/ehmkdk
title: TI_ZBP_vlna1az34.pdf

description: Technická informace 1. až 34. vlna
DOI: 10.14473/csda/zncgtd/hknzu4
title: OM02_ZBP_vlna1az34.tab

description: Ostatní materiály 02 - Seznam proměnných
DOI: 10.5281/zenodo.7983370
title: ECHAM6-wiso annual mean data for LGM and PI

description: This dataset contains ECHAM6-wiso annual mean values for 6 LGM and 2 PI simulations, described in https://doi.org/10.5194/cp-19-1275-2023: LGM_GLOMAP: uses SST and sea-ice from GLOMAP dataset. LGM_tierney2020: uses SST from Tierney et al. (2020) and sea-ice form GLOMAP. LGM_miroc4m_sst_glomap_sic: uses SST from MIROC 4m and sea-ice form GLOMAP. LGM_miroc4m_sst_and_sic: uses SST and sea ice from MIROC 4m. LGM_miroc4m_strong_AMOC_sst_glomap_sic: uses SST from MIROC 4m for strong AMOC phase and sea-ice from GLOMAP. LGM_miroc4m_strong_AMOC_sst_and_sic: uses SST and sea ice from MIROC 4m for strong AMOC phase. PI_amip_sst_and_sic: PI simulation with AMIP SST and sea ice. To be used with LGM_GLOMAP, LGM_tierney2020, LGM_miroc4m_sst_glomap_sic and LGM_miroc4m_strong_AMOC_sst_glomap_sic simulations. PI_amip_sst_miroc4m_sic: PI simulation with AMIP SST and MIROC 4m PI sea ice. To be used with LGM_miroc4m_sst_and_sic and LGM_miroc4m_strong_AMOC_sst_and_sic simulations. The data in the LGM simulations are 2m air temperature, precipitation amount, d18O of precipitation, vertically integrated water vapor content and u and v components of total water vapor transport. The data in the PI simulations are 2m air temperature, precipitation amount and d18O of precipitation. The 2 CSV files show values in d18O of snow on ice and temperature at polar ice core stations for both observations and ECHAM6-wiso simulations.
description: This research was supported by JSPS KAKENHI Grant 17H06323 and 22K20379, and by the German Federal Ministry of Education and Research (BMBF) as Research for Sustainability initiative (FONA). The ECHAM6-wiso simulations were performed at the Alfred Wegener Institute (AWI) supercomputing center. The MIROC 4m simulations used in this study were performed on the Earth Simulator 3 at Japan Agency for Marine‐Earth Science and Technology (JAMSTEC).
DOI: 10.5281/zenodo.7983371
title: ECHAM6-wiso annual mean data for LGM and PI

description: This dataset contains ECHAM6-wiso annual mean values for 6 LGM and 2 PI simulations, described in https://doi.org/10.5194/cp-19-1275-2023: LGM_GLOMAP: uses SST and sea-ice from GLOMAP dataset. LGM_tierney2020: uses SST from Tierney et al. (2020) and sea-ice form GLOMAP. LGM_miroc4m_sst_glomap_sic: uses SST from MIROC 4m and sea-ice form GLOMAP. LGM_miroc4m_sst_and_sic: uses SST and sea ice from MIROC 4m. LGM_miroc4m_strong_AMOC_sst_glomap_sic: uses SST from MIROC 4m for strong AMOC phase and sea-ice from GLOMAP. LGM_miroc4m_strong_AMOC_sst_and_sic: uses SST and sea ice from MIROC 4m for strong AMOC phase. PI_amip_sst_and_sic: PI simulation with AMIP SST and sea ice. To be used with LGM_GLOMAP, LGM_tierney2020, LGM_miroc4m_sst_glomap_sic and LGM_miroc4m_strong_AMOC_sst_glomap_sic simulations. PI_amip_sst_miroc4m_sic: PI simulation with AMIP SST and MIROC 4m PI sea ice. To be used with LGM_miroc4m_sst_and_sic and LGM_miroc4m_strong_AMOC_sst_and_sic simulations. The data in the LGM simulations are 2m air temperature, precipitation amount, d18O of precipitation, vertically integrated water vapor content and u and v components of total water vapor transport. The data in the PI simulations are 2m air temperature, precipitation amount and d18O of precipitation. The 2 CSV files show values in d18O of snow on ice and temperature at polar ice core stations for both observations and ECHAM6-wiso simulations.
description: This research was supported by JSPS KAKENHI Grant 17H06323 and 22K20379, and by the German Federal Ministry of Education and Research (BMBF) as Research for Sustainability initiative (FONA). The ECHAM6-wiso simulations were performed at the Alfred Wegener Institute (AWI) supercomputing center. The MIROC 4m simulations used in this study were performed on the Earth Simulator 3 at Japan Agency for Marine‐Earth Science and Technology (JAMSTEC).
DOI: 10.5517/ccdc.csd.cc2f16nc
title: CCDC 2235492: Experimental Crystal Structure Determination

description: Related Article: Wei Wang, Zhaoliang Qin, Ze Tan, Wen Yang|2023|Org.Biomol.Chem.|21|5234|doi:10.1039/D3OB00619K
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: 10.14473/csda/bzwcwh/dsfbqj
title: D_ZBP_vlna1az34.pdf

description: Dotazník 1. až 34. vlna
DOI: 10.14473/csda/bzwcwh/ykf5x3
title: TI_ZBP_vlna1az34.pdf

description: Technická informace 1. až 34. vlna
DOI: 10.14473/csda/bzwcwh/q2ddqz
title: OM03_ZBP_vlna1az34.sps

description: Ostatní materiály 03 - skript příjem ekvivalizace
DOI: 10.14473/csda/bzwcwh/b9hpcl
title: OM01_ZBP_vlna1az34.pdf

description: Ostatní materiály 01 - Dokumentace k veřejnému datovému souboru
DOI: 10.14473/csda/bzwcwh/huzlvj
title: OM02_ZBP_vlna1az34.tab

description: Ostatní materiály 02 - Seznam proměnných
DOI: 10.14473/csda/bzwcwh/qzs7ci
title: zbp_w27_fromWide_FINAL.tab

description: Data
DOI: 10.14473/csda/c7w9kd/12qrx7
title: OM03_ZBP_vlna1az34.sps

description: Ostatní materiály 03 - skript příjem ekvivalizace
DOI: 10.14473/csda/c7w9kd/cy64zy
title: TI_ZBP_vlna1az34.pdf

description: Technická informace 1. až 34. vlna
DOI: 10.14473/csda/c7w9kd/ut0k38
title: zbp_w28_fromWide.tab

description: Data
DOI: 10.14473/csda/c7w9kd/i7acdw
title: OM02_ZBP_vlna1az34.tab

description: Ostatní materiály 02 - Seznam proměnných
DOI: 10.14473/csda/c7w9kd/fkesed
title: OM01_ZBP_vlna1az34.pdf

description: Ostatní materiály 01 - Dokumentace k veřejnému datovému souboru
DOI: 10.14473/csda/c7w9kd/olj31j
title: D_ZBP_vlna1az34.pdf

description: Dotazník 1. až 34. vlna
DOI: 10.14473/csda/849joh/ikkj99
title: TI_ZBP_vlna1az34.pdf

description: Technická informace 1. až 34. vlna
DOI: 10.14473/csda/849joh/goplpz
title: D_ZBP_vlna1az34.pdf

description: Dotazník 1. až 34. vlna
DOI: 10.14473/csda/849joh/zmjopq
title: zbp_w29_fromWide_FIN.tab

description: Data
DOI: 10.14473/csda/849joh/wz8zjs
title: OM01_ZBP_vlna1az34.pdf

description: Ostatní materiály 01 - Dokumentace k veřejnému datovému souboru
DOI: 10.14473/csda/849joh/o45ie1
title: OM02_ZBP_vlna1az34.tab

description: Ostatní materiály 02 - Seznam proměnných
DOI: 10.14473/csda/849joh/bovfvu
title: OM03_ZBP_vlna1az34.sps

description: Ostatní materiuály 03 - skript příjem ekvivalizace
DOI: 10.5517/cc96yr5
title: CCDC 274807: Experimental Crystal Structure Determination

description: Related Article: K.Tappe, P.Knochel, K.Polborn|2005|CSD Communication|||
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: 10.17632/5772rx4df8.3
title: Northern Atacama Desert Radiocarbon Dataset

description: Compilation of 1003 radiocarbon dates of archaeological sites located in the Northern Atacama Desert, South-Central Andes, and published between 1963 and 2021. 
The .xls file contains the complete radiocarbon dataset and the .doc file contains the dataset references.
DOI: 10.5281/zenodo.7541631
title: Dataset of "Divergent convective outflow in ICON deep convection permitting and parameterised deep convection simulations": sample simulations

description: Please find the README file by extracting the archive " PER_archive_data.tar.gz ".<br> <br> The other two archives contain example simulation output for two simulations - one with parameterised convection and one with convection-permitting set-up.
description: Funded by TRR-165 (DFG): 'Wavestoweather' (see wavestoweather.de)
DOI: 10.5281/zenodo.4042749
title: Examining the Self-Assembly of Patchy Alkane-Grafted Silica Nanoparticles using Molecular Simulation

description: This is the dataset for the work published with the above title.
DOI: 10.5517/ccdc.csd.cczdqhk
title: CCDC 905959: Experimental Crystal Structure Determination

description: Related Article: Atekeh Tarahhomi, Mehrdad Pourayoubi, James A. Golen, Arnold L. Rheingold|2016|CSD Communication|||
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.cczdqln
title: CCDC 905962: Experimental Crystal Structure Determination

description: Related Article: Atekeh Tarahhomi, Mehrdad Pourayoubi, James A. Golen, Arnold L. Rheingold|2016|CSD Communication|||
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: 10.22003/xfel.eu-data-002161-00
title: Open community proposal on femtosecond time-resolved soft x-ray absorption spectroscopy of magnetically ordered transition metals and oxides
DOI: 10.5281/zenodo.1320320
title: Equation-Of-Motion Coupled-Cluster Theory Based On The 4-Component Dirac--Coulomb(--Gaunt) Hamiltonian. Energies For Single Electron Detachment, Attachment And Electronically Excited States: Dataset

description: This dataset collects the unprocessed (= outputs from calculations) and processed (= outputs from fits for obtaining spectroscopic constants) results discussed in the paper titled "Equation-of-Motion Coupled-Cluster Theory based on the 4-component Dirac--Coulomb(--Gaunt) Hamiltonian. Energies for single electron detachment, attachment and electronically excited states", by Avijit Shee, Trond Saue, Lucas Visscher and Andre Severo Pereira Gomes.
description: We acknowledge support from:

the CaPPA project (Chemical and Physical Properties of the Atmosphere), funded by the French National Research Agency (ANR) through the PIA (Programme d'Investissement d'Avenir) under contract ``ANR-11-LABX-0005-01'' 

The French Ministry of Higher Education and Research, Hauts de France council and European Regional Development Fund (ERDF) through the Contrat de Projets Etat-Region (CPER) CLIMIBIO (Changement climatique, dynamique de l'atmosphère, impacts sur la biodiversité et la santé humaine).

The CNRS Institute of Physics (INP) via the PICS program (grant 6386), 

The French national supercomputing facilities (grants DARI x2016081859, A0010801859, A0030801859)
DOI: 10.5517/cc79s09
title: CCDC 217930: Experimental Crystal Structure Determination

description: Related Article: M.B.Hursthouse, S.J.Coles, I.R.Butler|2003|CSD Communication|||
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: 10.7924/r4w37th8b
title: Data and scripts from: Characterization and efficient Monte Carlo sampling of disordered microphases

description: The disordered microphases that develop in the high-temperature phase of systems with competing short- range attractive and long-range repulsive (SALR) interactions result in a rich array of distinct morphologies, such as cluster, void cluster and percolated (gel-like) fluids. These different structural regimes exhibit complex relaxation dynamics with marked heterogeneity and slowdown. The overall relationship between structure and configurational sampling schemes, however, remains largely uncharted. Here, the disordered microphases of a schematic SALR model are thoroughly characterized, and structural relaxation functions adapted to each regime are devised. The sampling efficiency of various advanced Monte Carlo (MC) sampling schemes–Virtual-Move (VMMC), Aggregation-Volume-Bias (AVBMC) and Event-Chain (ECMC)–is then assessed. A combination of VMMC and AVBMC is found to be computationally most efficient for cluster fluids and ECMC to become relatively more efficient as density increases. These results offer a complete description of the equilibrium disordered phase of a simple microphase former as well as dynamical benchmarks for other sampling schemes.
DOI: 10.5281/zenodo.7465132
title: South Atlantic Ocean profile dataset: identification of near-Antarctic profiles using unsupervised classification

description: This dataset consists of temperature and salinity profiles taken by Argo floats (http://argo.ucsd.edu) and ship-based CTDs as recorded in the World Ocean Database (https://www.ncei.noaa.gov/products/world-ocean-database). It covers 65°W to 80°E in longitude, 85°S to 30°S in latitude (roughly the South Atlantic Ocean and a part of the Indian Ocean). In the vertical, it covers the top 1000m of the ocean. It was prepared using MITprof, which is a toolbox for Matlab:<br> <br> Gael Forget. (2017). gaelforget/MITprof: various updates and minor improvements (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.834078 This dataset should be considered the "initial" dataset that has been classified into five sub-groups using a profile classification model (PCM) built on Gaussian mixture modelling. The five-component PCM consists of these profile types: (1) subtropical Atlantic, (2) subtropical Indian, (3) circumpolar (more northern), (4) circumpolar (more southern), and (5) near-Antarctic.
DOI: 10.5281/zenodo.7782389
title: Data for the manuscript "Calculations of Excited Electronic States by Converging on Saddle Points Using Generalized Mode Following"

description: Data of all energy curves presented.
DOI: 10.3886/icpsr07348
title: Fortune-Yankelovich Youth Study, 1966
title: Archival Version

description: This survey of American youth of college age, including both college students and non-students, was conducted in 1968 by Daniel Yankelovich, Inc., for Fortune Magazine. The questions explored a wide range of issues reflecting personal values, career goals, and social and political philosophies. Among the major topics investigated were the respondents' opinions on the draft, civil disobedience, student riots, science and technology, and the generation gap. In addition, respondents were asked to compare their values with those of their parents, and to indicate societal values that they would adhere to, or reject. Demographic variables include sex, age, marital status, occupation, and income.
description: Datasets: 
 
 DS1: Dataset
description: While the title indicates that the time period covered is 1966, the study was in fact conducted in 1968.
The 718 respondents were weighted to 1,701. Since all weighting was performed by replicating cards, no weight variable is included in the data.
description: American youth aged 18-24.
DOI: 10.48670/moi-00008
title: Arctic Ocean Wave Hindcast
DOI: 10.5281/zenodo.3251716
title: Maintenance of Wakefulness Test (MWT) recordings

description: Each file contains a MWT trial (first trial after noon) recording of a patient. The data contains occipital EEG and EOG data. All signals were bandpass filtered between 0.5-45 Hz. In each file, the data is structured as the following: fs: sampling rate. eeg_O1: EEG channel O1-M2 where M2 is the mastoid electrode on the opposite side. eeg_O2: EEG channel O2-M1 where M1 is the mastoid electrode on the opposite side. E1 and E2: EOG channels for left and right eye, both referenced to M1. labels_O1 and labels_O2: arrays with expert scoring (0-wake, 1-MSE, 2-MSEc, 3-ED, according to the BERN scoring criteria published in Hertig-Godeschalk et al. doi:10.1093/sleep/zsz163.); length of the arrays is the same as for other signals, i.e. there is a label per sample. prec: amount of signal samples per label, in this case it is 1. variables prec and half_prec were not used. num_Labels: length of the signal in samples. Further descriptions, details, and outcomes can be found in the related studies. The published studies which are based on this data and address the borderland between wakefulness and sleep, i.e. microsleep episodes, are listed under related/alternative identifiers.
DOI: 10.5291/ill-data.8-03-779
title: Ion-Ion pairing in aqueous solutions of imidazolium chloride
DOI: 10.6084/m9.figshare.11879205
title: data

description: These files contain the data used in the proof of Lemma 3.1 and Proposition 4.1 in the paper "Golden mean renormalization<br>for the almost Mathieu operator and related skew products"<br><br>