cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7418227
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>
DOI: 10.6084/m9.figshare.22270351
title: Seroconversion and prevalence of Hepatitis B surface antigen among vaccinated health care workers in Ashanti Region, Ghana

description: This is the compiled data of the post-vaccination testing outcomes among studied health care workers in Ashanti region, Ghana.
DOI: 10.6084/m9.figshare.22289455
title: Table 2. Factor Analysis Results of North Cyprus

description: Factor Analysis Results of North Cyprus
DOI: 10.6084/m9.figshare.22289458.v1
title: Table 3. Factor Analysis Results of Turkey

description: Factor Analysis Results of Turkey
DOI: 10.6084/m9.figshare.22289458
title: Table 3. Factor Analysis Results of Turkey

description: Factor Analysis Results of Turkey
DOI: 10.48432/gzftjj
title: LiDAR survey on 499 hectares in Cantareira, Nazaré Paulista, São Paulo, Brasil in 2017

description: The LiDAR data Cantareira (CAN_A02_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: 10.6084/m9.figshare.22289464
title: Table 6. Factor Analysis Results of North Cyprus

description: Factor Analysis Results of North Cyprus
DOI: 10.6084/m9.figshare.22289464.v1
title: Table 6. Factor Analysis Results of North Cyprus

description: Factor Analysis Results of North Cyprus
DOI: 10.48432/6hrvd2
title: LiDAR survey on 1248 hectares in Adolpho Ducke Forest Reserve, Amazonas, Brasil in 2017

description: The LiDAR data Reserva Florestal Adolpho Ducke (DUC_A01_2017_LiDAR) refers to the survey carried out in Adolpho Ducke Forest Reserve, 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 (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/jslq31
title: LiDAR survey on 409 hectares in Rio Preto da Eva, Manaus, Amazonas, Brasil in 2008

description: The LiDAR data Rio Preto da Eva, Manaus Municipality (PRE_A01_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_A01_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 theBrazilian 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.22289461.v1
title: Table 4. Factor Analysis Results of UK

description: Factor Analysis Results of UK
DOI: 10.15468/ghtwvn
title: Fauna y Flora asociadas a plantaciones de palma de aceite en la región de Franja Transversal del Norte

description: Se presenta un listado de especies de flora y fauna asociados a plantaciones de palma de aceite de la región de la Franja Transversal del Norte del territorio guatemalteco. El listado corresponde a la sistematización de observaciones y registros levantados por Naturaceites.
DOI: 10.5519/qd.29edt9if
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28 records)
DOI: 10.5683/sp2/y573rd
title: Dataset 5: Replication package

description: Through our investigation into the effect of border closures, we provide a replication package to re-produce our results. The package consists of: A readme file describing the contents of the package and the version of the software it was written for. A transparent, comprehensive, and detailed documentation describing all the variables and source links to download the databases. All codes necessary to re-produce the tables and figures in the manuscript and supplementary tables.
DOI: 10.5683/sp2/gzp24s
title: Dataset 4: Analysis Plan

description: The analysis plan is provided to guide interested readers through the stages of our study. We outline the research methods, statistical tools, and data sources undertaken in our study. All decisions were solidified before analysis work begun.
DOI: 10.5683/sp2/pnnqno
title: Dataset 2: Interrupted time-series results

description: All results of the primary interrupted time-series results evaluating targeted and total border closures that met the following criteria: 1) at least seven days of data is available before and after the intervention point, 2) for multiple intervention time series, at least seven days has passed since the last intervention point, and 3) for multiple sequential targeted border closures, the second (or third) intervention is observed to indicate an increase of at least 20% of the world’s population being targeted by the new border closures.
DOI: 10.5517/ccdc.csd.cc28bbcb
title: CCDC 2095301: Experimental Crystal Structure Determination

description: Related Article: Javier López-Cabrelles, Eugenia Miguel-Casañ, María Esteve-Rochina, Eduardo Andres-Garcia, Iñigo J. Vitórica-Yrezábal, Joaquín Calbo, Guillermo Mínguez Espallargas|2022|Chemical Science|13|842|doi:10.1039/D1SC04779E
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.cc294ws4
title: CCDC 2119866: Experimental Crystal Structure Determination

description: Related Article: Stanislava E. Todorova, Rusi I. Rusew, Zhanina S. Petkova, Boris L. Shivachev, Rositsa P. Nikolova, Vanya B. Kurteva|2022|New J.Chem.|46|1080|doi:10.1039/D1NJ05458A
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.cc29byd0
title: CCDC 2125682: 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.7742318
title: Kolakovic-Supplementary_Materials V3

description: Input data set and results of study: Estimation of large river designed-floods using the peaks-over-threshold (POT) method.
DOI: 10.5281/zenodo.7742317
title: Kolakovic-Supplementary_Materials V3

description: Input data set and results of study: Estimation of large river designed-floods using the peaks-over-threshold (POT) method.
DOI: 10.6084/m9.figshare.22289461
title: Table 4. Factor Analysis Results of UK

description: Factor Analysis Results of UK
DOI: 10.6084/m9.figshare.22289461.v3
title: Table 4. Factor Analysis Results of UK

description: Factor Analysis Results of UK
DOI: 10.6084/m9.figshare.22289461.v2
title: Table 4. Factor Analysis Results of UK

description: Factor Analysis Results of UK
DOI: 10.6084/m9.figshare.22289467
title: Table 7. Factor Analysis Results of Turkey

description: Factor Analysis Results of Turkey
DOI: 10.6084/m9.figshare.22289467.v1
title: Table 7. Factor Analysis Results of Turkey

description: Factor Analysis Results of Turkey
DOI: 10.6084/m9.figshare.22289470
title: Table 8. Factor Analysis Results of UK

description: Factor Analysis Results of UK
DOI: 10.6084/m9.figshare.22289470.v1
title: Table 8. Factor Analysis Results of UK

description: Factor Analysis Results of UK
DOI: 10.7303/syn51072170
title: Systems Biology Dissection of PTSD and MDD across brain regions and cell types
DOI: 10.5519/qd.lcb10neb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.5519/qd.qrk5j0fy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (504 records)
DOI: 10.15482/usda.adc/1528679
title: Data from: Galls formed by Aceria genistae (Acari: Eriophyidae) alter resource allocation of the invasive weed Scotch broom (Cytisus scoparius)

description: The Scotch broom gall mite, Aceria genistae, attacks Cytisus scoparius (Scotch broom), an invasive shrub in California, USA. Feeding causes galls (localized tissue distortion) but the effect of A. genistae on overall host vigor and reproduction has not been assessed. We collected data on plant parts between two plants partitioned between two groups, heavily or lightly galled plants, at three northern California sites. Plant parts were measured in the field (plant height, plant width) and others were recorded after harvesting plants (stem, leaf, gall, seed pod, seeds, etc.) and drying them in an oven to a constant weight. Data were natural log transformed. Columns represent (in order): observation number (obs), plant identifier (plantID), Site, treatment (heavy or light galling), Diameter at soil (lnDAS), height, leaf weight (lnLeaf), stem weight (lnStem), fruit weight (lnFruit), gall weight (lnGalls), number of pods (lnpods), seed weight (lnseeds), number of seeds per plant (lnseedsplant), canopy volume (lnVol), canopy diameter at its widest point (lnWidest), canopy area (lnCanopyArea), total biomass of all plant fractions combined (lnTotal), number of stem branches (lnResource).
Resources in this dataset:

Resource Title: Scotch broom dataset
File Name: Scotch broom gall mite.csv
Description: Dataset is comma deliminated
DOI: 10.5281/zenodo.7075919
title: Datasets used to train the models in "Deep learning for denoising High-Rate Global Navigation Satellite System data."

description: Datasets used to train the models in "Deep learning for denoising High-Rate Global Navigation Satellite System data." Additional information can be found at https://github.com/amtseismo/hrgnss_denoising.
DOI: 10.5281/zenodo.7075918
title: Datasets used to train the models in "Deep learning for denoising High-Rate Global Navigation Satellite System data."

description: Datasets used to train the models in "Deep learning for denoising High-Rate Global Navigation Satellite System data." Additional information can be found at https://github.com/amtseismo/hrgnss_denoising.
DOI: 10.6084/m9.figshare.22289698
title: t_test_barn_good_microbiome.Rmd

description: Supplemental material
DOI: 10.6084/m9.figshare.22289698.v1
title: t_test_barn_good_microbiome.Rmd

description: Supplemental material
DOI: 10.6084/m9.figshare.22290064.v1
title: ttest_day_21_barn_good_diet.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22290064
title: ttest_day_21_barn_good_diet.csv

description: Supplemental material
DOI: 10.5519/qd.3cus1q8c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5519/qd.f0k3qi53
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5281/zenodo.7742410
title: Human-gut phages harbor sporulation genes

description: See README file for details. <strong>Abstract: </strong>Spore-forming bacteria are prevalent in mammalian guts and have implications for host health and nutrition. The production of dormant spores is thought to play an important role in the colonization, persistence, and transmission of these bacteria. Spore formation also modifies interactions among microorganisms such as infection by phages. Recent studies suggest that phages may counter dormancy-mediated defense through the expression of phage-encoded sporulation genes during infection, which can alter the transitions between active and inactive states. By mining genomes and gut-derived metagenomes, we identified sporulation genes that are preferentially encoded by phages that infect spore-forming bacteria. These included genes involved in chromosome partitioning, DNA damage repair, and cell wall-associated functions. In addition, phages contained homologs of sporulation-specific transcription factors, notably <em>spo0A</em>, the master regulator of sporulation, which could allow phages to control the complex genetic network responsible for spore development. Our findings suggest that phages could influence the formation of bacterial spores with implications for the health of the human gut microbiome, as well as bacterial communities in other environments.
DOI: 10.5281/zenodo.7742409
title: Human-gut phages harbor sporulation genes

description: See README file for details. <strong>Abstract: </strong>Spore-forming bacteria are prevalent in mammalian guts and have implications for host health and nutrition. The production of dormant spores is thought to play an important role in the colonization, persistence, and transmission of these bacteria. Spore formation also modifies interactions among microorganisms such as infection by phages. Recent studies suggest that phages may counter dormancy-mediated defense through the expression of phage-encoded sporulation genes during infection, which can alter the transitions between active and inactive states. By mining genomes and gut-derived metagenomes, we identified sporulation genes that are preferentially encoded by phages that infect spore-forming bacteria. These included genes involved in chromosome partitioning, DNA damage repair, and cell wall-associated functions. In addition, phages contained homologs of sporulation-specific transcription factors, notably <em>spo0A</em>, the master regulator of sporulation, which could allow phages to control the complex genetic network responsible for spore development. Our findings suggest that phages could influence the formation of bacterial spores with implications for the health of the human gut microbiome, as well as bacterial communities in other environments.
DOI: 10.5519/qd.pt58fb6b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.25921/kwzb-6w07
title: EM304 Water Column Sonar Data Collected During EX2206
DOI: 10.6084/m9.figshare.22289977
title: t_test_barn_poor_microbiome.Rmd

description: Supplemental material
DOI: 10.6084/m9.figshare.22289977.v1
title: t_test_barn_poor_microbiome.Rmd

description: Supplemental material
DOI: 10.6084/m9.figshare.22290013
title: barn_good_microbiome_data.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22290013.v1
title: barn_good_microbiome_data.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22289659
title: ttest_day_21_barn_poor_diet.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22289659.v1
title: ttest_day_21_barn_poor_diet.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22290181
title: barn_poor_microbiome_data.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22290181.v1
title: barn_poor_microbiome_data.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22290196
title: experiment_1.csv

description: Supplemental material
DOI: 10.6084/m9.figshare.22290196.v1
title: experiment_1.csv

description: Supplemental material
DOI: 10.5281/zenodo.7508108
title: CODEX Rb and Sr isotopic data of granites

description: The files in this archive represent Rb and Sr isotopic compositions of hundreds of spot analyses on the Boulder Creek Granite and the Pikes Peak Granite. Data were acquired using CODEX, the Chemistry, Organics, and Dating Experiment, using the prototype instrument at the Southwest Research Institute in Boulder, Colorado, USA, in July-August 2019. The files are in plain text format. As indicated by the header, each row contains:<br> (1) A unique identifier for the spot analysis;<br> (2-4) 3 columns representing the position of the analysis spot (in mm) relative to a fiducial spot on the sample holder (this permits the construction of an isotopic map of the sample);<br> (5-7) the isotopic abundances for Rb-87, Sr-86, and Sr-87 in units of V*ns, i.e., the product of peak height and duration;<br> (8-10) the 1-sigma uncertainties in each of those isotope abundances, in the units; and<br> (11-13) the correlation coefficients (dimensionless) between fluctuations in the isotope pairs (Rb-87,Sr-86), (Sr-86,Sr-87), (Rb-87,Sr-87). These are important because the uncertainties in the isotope abundances are strongly correlated with one another, making the uncertainties in their ratios smaller than the uncertainty in individual abundances might suggest.
DOI: 10.5281/zenodo.7508107
title: CODEX Rb and Sr isotopic data of granites

description: The files in this archive represent Rb and Sr isotopic compositions of hundreds of spot analyses on the Boulder Creek Granite and the Pikes Peak Granite. Data were acquired at the Southwest Research Institute in Boulder, Colorado, USA in July-August 2019, using the breadboard version of CODEX, the Chemistry, Organics, and Dating Experiment. The files are in plain text format. Following a one-row header that gives column headings, subsequent rows contain:<br> (1) A unique identifier for each spot analysis;<br> (2-4) 3 columns representing the position of the analysis spot (in mm) relative to a fiducial spot on the sample holder (this permits the construction of an isotopic map of the sample);<br> (5-7) the isotopic abundances for Rb87, Sr86, and Sr87 in units of V*ns, i.e., the product of peak height and duration;<br> (8-10) the 1-sigma uncertainties in each of those isotope abundances, in the same units;<br> (11-13) the correlation coefficients (dimensionless) between fluctuations in the isotope pairs (Rb-87,Sr-86), (Sr-86,Sr-87), (Rb-87,Sr-87). These are important because the uncertainties in the isotope abundances are strongly correlated with one another, making the uncertainties in their ratios smaller than the uncertainty in individual abundances might suggest; <br> (14-15) the ratio of Rb87/Sr86 and its 1-sigma uncertainty; <br> (16-17) the ratio of Sr87/Sr86 and its 1-sigma uncertainty; and<br> (18) the correlation coefficient between the Rb87/Sr86 ratio and the Sr87/Sr86 ratio.
DOI: 10.5281/zenodo.7730427
title: CODEX Rb and Sr isotopic data of granites

description: The files in this archive represent Rb and Sr isotopic compositions of hundreds of spot analyses on the Boulder Creek Granite and the Pikes Peak Granite. Data were acquired at the Southwest Research Institute in Boulder, Colorado, USA in July-August 2019, using the breadboard version of CODEX, the Chemistry, Organics, and Dating Experiment. The files are in plain text format. Following a one-row header that gives column headings, subsequent rows contain:<br> (1) A unique identifier for each spot analysis;<br> (2-4) 3 columns representing the position of the analysis spot (in mm) relative to a fiducial spot on the sample holder (this permits the construction of an isotopic map of the sample);<br> (5-7) the isotopic abundances for Rb87, Sr86, and Sr87 in units of V*ns, i.e., the product of peak height and duration;<br> (8-10) the 1-sigma uncertainties in each of those isotope abundances, in the same units;<br> (11-13) the correlation coefficients (dimensionless) between fluctuations in the isotope pairs (Rb-87,Sr-86), (Sr-86,Sr-87), (Rb-87,Sr-87). These are important because the uncertainties in the isotope abundances are strongly correlated with one another, making the uncertainties in their ratios smaller than the uncertainty in individual abundances might suggest; <br> (14-15) the ratio of Rb87/Sr86 and its 1-sigma uncertainty; <br> (16-17) the ratio of Sr87/Sr86 and its 1-sigma uncertainty; and<br> (18) the correlation coefficient between the Rb87/Sr86 ratio and the Sr87/Sr86 ratio.