cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22273012
title: TABLA DE ARTICULOS SEGUN AUTORES

description: tabla
DOI: 10.6084/m9.figshare.22273012.v1
title: TABLA DE ARTICULOS SEGUN AUTORES

description: tabla
DOI: 10.6084/m9.figshare.22273000
title: TabladeArticulosSeleccionados

description: Tabla de Articulos Seleccionados
DOI: 10.6084/m9.figshare.22273000.v1
title: TabladeArticulosSeleccionados

description: Tabla de Articulos Seleccionados
DOI: 10.6084/m9.figshare.22287028
title: Carbon spheres

description: <strong>A novel method for fabrication of micro/nano carbon spheres from the sucrose based on oilothermal method with a top-down approach</strong>
DOI: 10.6084/m9.figshare.22287028.v1
title: Carbon spheres

description: <strong>A novel method for fabrication of micro/nano carbon spheres from the sucrose based on oilothermal method with a top-down approach</strong>
DOI: 10.5281/zenodo.7742004
title: Wasmizer: Curating WebAssembly-driven Projects on GitHub

description: This is the dataset and artifact that accompanies the MSR 2023 paper titled: "Wasmizer: Curating WebAssembly-driven Projects<br> on GitHub"
DOI: 10.5281/zenodo.7742003
title: Wasmizer: Curating WebAssembly-driven Projects on GitHub

description: This is the dataset and artifact that accompanies the MSR 2023 paper titled: "Wasmizer: Curating WebAssembly-driven Projects<br> on GitHub"
DOI: 10.6084/m9.figshare.22270177
title: Wild-type zebrafish DICE-PPC-SRµCT image stacks

description: 1, 2, and 3 month post-fertilisation WT zebafish heads and torsos stained with iodine and scanned at BM05 of the ESRF-EBS at 0.727µm and 3µm voxel resolution. Reconstructed image stacks in jpeg2000 format. <br> nkx3.2 mutant image stacks may be made available on request. <br> Related to the publication: Leyhr J, Sanchez S, Dollman KN, Tafforeau P and Haitina T (2023) Enhanced contrast synchrotron X-ray microtomography for describing skeleton-associated soft tissue defects in zebrafish mutants. Front. Endocrinol. 14:1108916. doi: 10.3389/fendo.2023.1108916 <br>
DOI: 10.6084/m9.figshare.22270177.v1
title: Wild-type zebrafish DICE-PPC-SRµCT image stacks

description: 1, 2, and 3 month post-fertilisation WT zebafish heads and torsos stained with iodine and scanned at BM05 of the ESRF-EBS at 0.727µm and 3µm voxel resolution. Reconstructed image stacks in jpeg2000 format. <br> nkx3.2 mutant image stacks may be made available on request. <br> Related to the publication: Leyhr J, Sanchez S, Dollman KN, Tafforeau P and Haitina T (2023) Enhanced contrast synchrotron X-ray microtomography for describing skeleton-associated soft tissue defects in zebrafish mutants. Front. Endocrinol. 14:1108916. doi: 10.3389/fendo.2023.1108916 <br>
DOI: 10.5066/p9385rr2
title: Vertical Profiles of Water Quality and Light in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019-2020

description: Field data for vertical profiles of light and water quality parameters were collected biweekly between May and November in 2019 and June and October in 2020 in association with continuous monitoring platforms in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York.� Water quality profiles were collected using Yellow Spring Instruments (YSI) EXO2 sondes and light profiles were collected using a LI-COR Photosynthetically Active Radiation (PAR) sensor in 2019 and Onset HOBO Pendant Temperature and Light data loggers in 2020. This data release includes all measured environmental parameters included in the analysis. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. There are four data files included in this data release: one file containing light profile data from 2019, one file containing light profile data from 2020, one file containing EXO profile data from 2019, and one file containing EXO profile data from 2020.
DOI: 10.5517/ccdc.csd.cc243n20
title: CCDC 1969711: Experimental Crystal Structure Determination

description: Related Article: Kananat Naksomboon, Enrique Gómez-Bengoa, Jaya Mehara, Jana Roithová, Edwin Otten, M. Ángeles Fernández-Ibáñez|2023|Chemical Science|14|2943|doi:10.1039/D2SC06840K
description: Related Article: Kananat Naksomboon, Enrique Gómez-Bengoa, Jaya Mehara, Jana Roithová, Edwin Otten, M. Ángeles Fernández-Ibáñez|2023|Chemical Science|14|2943|doi:10.1039/D2SC06840K
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.cc243n31
title: CCDC 1969712: Experimental Crystal Structure Determination

description: Related Article: Kananat Naksomboon, Enrique Gómez-Bengoa, Jaya Mehara, Jana Roithová, Edwin Otten, M. Ángeles Fernández-Ibáñez|2023|Chemical Science|14|2943|doi:10.1039/D2SC06840K
description: Related Article: Kananat Naksomboon, Enrique Gómez-Bengoa, Jaya Mehara, Jana Roithová, Edwin Otten, M. Ángeles Fernández-Ibáñez|2023|Chemical Science|14|2943|doi:10.1039/D2SC06840K
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.cc243n42
title: CCDC 1969713: Experimental Crystal Structure Determination

description: Related Article: Kananat Naksomboon, Enrique Gómez-Bengoa, Jaya Mehara, Jana Roithová, Edwin Otten, M. Ángeles Fernández-Ibáñez|2023|Chemical Science|14|2943|doi:10.1039/D2SC06840K
description: Related Article: Kananat Naksomboon, Enrique Gómez-Bengoa, Jaya Mehara, Jana Roithová, Edwin Otten, M. Ángeles Fernández-Ibáñez|2023|Chemical Science|14|2943|doi:10.1039/D2SC06840K
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.cc29lml4
title: CCDC 2133066: Experimental Crystal Structure Determination

description: Related Article: Alex S. Tossaint, Christophe Rebreyend, Vivek Sinha, Manuela Weber, Stefano Canossa, Evgeny A. Pidko, Georgy A. Filonenko|2022|Cat.Sci.Tech.|12|2972|doi:10.1039/D2CY00485B
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.cc29lmm5
title: CCDC 2133067: Experimental Crystal Structure Determination

description: Related Article: Alex S. Tossaint, Christophe Rebreyend, Vivek Sinha, Manuela Weber, Stefano Canossa, Evgeny A. Pidko, Georgy A. Filonenko|2022|Cat.Sci.Tech.|12|2972|doi:10.1039/D2CY00485B
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.7742050
title: WACCM-X Northern Hemisphere Winter Ensemble

description: Simulation output from the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCM-X) for 40 Northern Hemisphere winters. The simulations were performed as free-running simulations with constant geomagnetic and solar activity. Included output is the Northern Annular Mode (NAM), zonal mean temperature and zonal wind, residual circulation, atomic oxygen to molecular nitrogen ratio (O/N2), migrating semidiurnal tide (SW2), and the SW2 component of TEC. The data files are in support of the publication “Influence of Stratosphere Polar Vortex Variability on the Mesosphere, Thermosphere, and Ionosphere”
DOI: 10.48432/sv0gba
title: LiDAR survey on 499 hectares in Cantareira, Nazaré Paulista, São Paulo, Brasil in 2014.

description: The LiDAR data Cantareira (CAN_A02_2014_LiDAR) refers to the survey carried out in Nazaré Paulista municipality, São Paulo state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.5281/zenodo.7742011
title: Raptor@GenomeBiology: RefSeq data set

description: Size: 29 GiB SHA256: cbf98d727cb87df8dff249714c4a2e07e24ade532e7d56f8849e3e9d8c0f27db
DOI: 10.5281/zenodo.7742010
title: Raptor@GenomeBiology: RefSeq data set

description: Size: 29 GiB SHA256: cbf98d727cb87df8dff249714c4a2e07e24ade532e7d56f8849e3e9d8c0f27db
DOI: 10.6084/m9.figshare.14833014
title: Empirical Investigation of Quality Factors in Embedded System

description: Empirical Investigation of Quality Factors in Embedded System
DOI: 10.6084/m9.figshare.14833014.v1
title: Empirical Investigation of Quality Factors in Embedded System

description: Empirical Investigation of Quality Factors in Embedded System
DOI: 10.34740/kaggle/dsv/5179389
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.6084/m9.figshare.22289149
title: Supplemental material.pdf

description: Individual data for old and young
DOI: 10.6084/m9.figshare.22289149.v1
title: Supplemental material.pdf

description: Individual data for old and young
DOI: 10.5281/zenodo.7713143
title: DNA-HDXMS_XchangeDB: A dataset of Hydrogen-Deuterium eXchange native Mass Spectrometry experiments on DNA oligonucleotides

description: The DNA-HDXMS_XchangeDB dataset contains HDX/native MS exchange kinetics and metadata of a reference set of DNA oligonucleotides.
description: The dataset is provided as a text file, a .xlsx Microsoft Excel file, and an Rda file (for import in R).
DOI: 10.5281/zenodo.7693219
title: Results from a National Survey of Canadian Perspectives on Predicting River Channel Migration and River Bank Erosion

description: This dataset contains findings from a national survey of Canadian perspectives on predicting river channel migration and river bank erosion. The online survey was conducted by researchers from the University of Guelph from November 2, 2021 through January 31, 2022 and received more than 40 responses from regions across Canada.
description: This research was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Discovery and CGS D programs.
DOI: 10.5281/zenodo.7693220
title: Results from a National Survey of Canadian Perspectives on Predicting River Channel Migration and River Bank Erosion

description: This dataset contains findings from a national survey of Canadian perspectives on predicting river channel migration and river bank erosion. The online survey was conducted by researchers from the University of Guelph from November 2, 2021 through January 31, 2022 and received more than 40 responses from regions across Canada.
description: This research was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Discovery and CGS D programs.
DOI: 10.48432/gjbcrr
title: LiDAR survey on 499 hectares in Nazaré Paulista, São Paulo, Brasil in 2017

description: The LiDAR data Cantareira (CAN_A01_2017_LiDAR) refers to the survey carried out in Nazaré Paulista municipality, São Paulo state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/hcnffw
title: LiDAR survey on 242.32 hectares in Rio Preto da Eva, Manaus, Amazonas, Brasil in 2008

description: The LiDAR data Rio Preto da Eva, Manaus Municipality (PRE_A04_2008), refers to airborne survey carried out in 2008 near ZF-3 access point, Amazonas state, Brazil, and funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.), NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.), and from the Smithsonian Tropical Research Institute (STRI). The PRE_A04_2008 survey area encompass a subset of plots of the Biological Dynamics of Forest Fragments Project (BDFFP), established to monitor the dynamics of forest fragments in different states of fragmentation and recovery from logging (Bierregaard, et al., 1992). These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/cmkzze
title: LiDAR survey on 138.41 hectares in Rio Preto da Eva, Manaus, Amazonas, Brasil in 2008

description: The LiDAR data Rio Preto da Eva, Manaus Municipality (PRE_A05_2008), refers to airborne survey carried out in 2008 near ZF-3 access point, Amazonas state, Brazil, and funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.), NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.), and from the Smithsonian Tropical Research Institute (STRI). The PRE_A05_2008 survey area encompass a subset of plots of the Biological Dynamics of Forest Fragments Project (BDFFP), established to monitor the dynamics of forest fragments in different states of fragmentation and recovery from logging (Bierregaard, et al., 1992).These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/ucn0pf
title: LiDAR survey on 124.02 hectares in Rio Preto da Eva, Manaus, Amazonas, Brasil in 2008

description: The LiDAR data Rio Preto da Eva, Manaus Municipality (PRE_A06_2008), refers to airborne survey carried out in 2008 near ZF-3 access point, Amazonas state, Brazil, and funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.), NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.), and from the Smithsonian Tropical Research Institute (STRI). The PRE_A06_2008 survey area encompass a subset of plots of the Biological Dynamics of Forest Fragments Project (BDFFP), established to monitor the dynamics of forest fragments in different states of fragmentation and recovery from logging (Bierregaard, et al., 1992) and is a Center for Tropical Forest Science (CTFS) long-term monitoring plot in intact primary forest. These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.6084/m9.figshare.22289434
title: Table 1. Demographic characteristics of the Participants

description: Demographic characteristics of the Participants
DOI: 10.5683/sp2/h1l7ag
title: Dataset 3: Dickey-Fuller tests and Cumby-Huizinga tests

description: The primary interrupted-series analyses evaluated all targeted and total border closures by country-level intervention points. As robustness checks, Dickey-Fuller tests were run for every time series, with none exceeding the 5% critical value of the t-distribution for a unit root. Cumby-Huizinga general tests were run to correct results for each lag found to have serial autocorrelation present for all global and country interrupted time-series.
DOI: 10.48432/s75g5r
title: LiDAR survey on 8.85 hectares in Rio Preto da Eva, Manaus, Amazonas, Brasil in 2008

description: The LiDAR data Rio Preto da Eva, Manaus Municipality (PRE_A07_2008), refers to airborne survey carried out in 2008 near ZF-3 access point, Amazonas state, Brazil, and funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.), NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.), and from the Smithsonian Tropical Research Institute (STRI). The PRE_A07_2008 survey area encompass a subset of plots of the Biological Dynamics of Forest Fragments Project (BDFFP), established to monitor the dynamics of forest fragments in different states of fragmentation and recovery from logging (Bierregaard, et al., 1992).These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/an7pql
title: LiDAR survey on 245.7 hectares in Manaus, Amazonas, Brasil in 2017

description: The LiDAR data ZF2 - Manaus (ZF2_A01_2017_LiDAR) refers to the survey carried out in the Manaus municipality, Amazonas state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.5519/qd.f4mt5f6w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.48432/m1svuz
title: LiDAR survey on 1037 hectares in Manaus, Amazonas, Brasil in 2017

description: The LiDAR data ZF2 - Manaus (ZF2_A02_2017_LiDAR) refers to the survey carried out in the Manaus municipality, Amazonas state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.5281/zenodo.7499297
title: XXXXX

description: <strong>This dataset is part of the manuscript: "<em>Systematic review of the Cerrado Pé-de-Gigante flora, one of the largest protected Cerrado fragments in São Paulo state, Brazil</em>".</strong><br> <br> The Cerrado Pé-de-Gigante is located in the State of São Paulo, southeastern Brazil, and it comprises a part of the Vassununga State Park, a integral protection conservation unit. This study presents an updated list of the flora of Cerrado Pé-de-Gigante which was developed through a systematic search in the literature, consultations to virtual herbaria, and field validation. In the state of São Paulo, the original vegetation of the remaining Cerrado is mostly in small fragments and in areas not properly protected. In this regard, we emphasize the relevance in the context of conservation of biodiversity as a whole of Cerrado Pé-de-Gigante, since our results pointed to the record of 681 plant species for this area of just over 1200 ha. The final list includes angiosperms, ferns and bryophytes and their respective conservation status, habit and herbarium deposit vouchers. <pre> </pre>