cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48530/isoarch.2025.004.v1
title: Multi-isotope dataset of human, animal and plant samples from Africa

description: This dataset compiles isotopic data from over 4,000 materials and more than 4,000 samples, integrating results from 54 references including peer-reviewed articles, book chapters, and doctoral dissertations. It covers isotopic measurements of carbon (δ¹³C), nitrogen (δ¹⁵N), oxygen (δ¹⁸O), strontium (⁸⁷Sr/⁸⁶Sr), and radiocarbon (¹⁴C) derived from both archaeological and modern samples across 18 African countries such as Botswana, Democratic Republic of Congo, Ethiopia, Kenya, Mali, Mauritania, South Africa, Tunisia, and Zimbabwe. The dataset also includes individuals of African origin living in the United States, reflecting histories linked to the transatlantic slave trade. Chronologically, the dataset covers a remarkable temporal range-spanning millions of years of human and environmental history, from the late Miocene epoch to contemporary contexts.
DOI: 10.15468/dl.8wc4js
title: Occurrence Download

description: A dataset containing 1600700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Odontophoridae",
 "Year 2020-2026"
 ]
}

 The dataset includes 1600700 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004109-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48530/isoarch.2025.005
title: Strontium isotope data from modern plants and soil leachates on Corsica to establish a baseline for archaeological and palaeoecological studies

description: A total of 326 strontium isotope ( 87 Sr/ 86 Sr) analyses from 125 sampling sites from two sampling campaigns across Corsica are presented. The first sampling campaign collected paired plant and soil samples from 75 individual sites while the second sampling campaign collected grass, shrub and tree samples from 55 sampling sites. Overall, an 87 Sr/ 86 Sr range of 0.7075 to 0.7169 is seen on Corsica, with the spatial distribution of these values related to the geological age and lithology. The dataset includes the coordinates for each sampling site, with its 87 Sr/ 86 Sr and uncertainty. Details on the underlying surface geology, elevation, slope, rainfall, and aspect are also provided for each sampling site.
DOI: 10.48530/isoarch.2025.005.v1
title: Strontium isotope data from modern plants and soil leachates on Corsica to establish a baseline for archaeological and palaeoecological studies

description: A total of 326 strontium isotope ( 87 Sr/ 86 Sr) analyses from 125 sampling sites from two sampling campaigns across Corsica are presented. The first sampling campaign collected paired plant and soil samples from 75 individual sites while the second sampling campaign collected grass, shrub and tree samples from 55 sampling sites. Overall, an 87 Sr/ 86 Sr range of 0.7075 to 0.7169 is seen on Corsica, with the spatial distribution of these values related to the geological age and lithology. The dataset includes the coordinates for each sampling site, with its 87 Sr/ 86 Sr and uncertainty. Details on the underlying surface geology, elevation, slope, rainfall, and aspect are also provided for each sampling site.
DOI: 10.5061/dryad.q2bvq83vc
title: Guidelines for describing a microbiome data analysis

description: Scientific advances in microbial ecology rely on both high-quality data
 and rigorous analysis. At present, Statistical Analysis sections of many
 microbiome papers lack essential detail and justification. To support
 researchers in clearly and transparently presenting their methods, we
 provide guidelines for describing a microbiome data analysis. The
 guidelines span data transformations, justification for modeling choices,
 parameter interpretation, sensitivity analyses, code and data
 availability, and more. These guidelines are available under a Creative
 Commons Zero (CC0) license. We hope to accelerate the accumulation and
 dissemination of scientific knowledge by permitting their condition-free
 distribution, adaptation, and development.
description: These guidelines were drafted by the authors. 
description: # Guidelines for Describing a Microbiome Data Analysis
 [https://doi.org/10.5061/dryad.q2bvq83vc](https://doi.org/10.5061/dryad.q2bvq83vc) Scientific advances in microbial ecology rely on both high-quality data and rigorous analysis. At present, Statistical Analysis sections of many microbiome papers lack important details and justification. To support researchers in clearly and transparently presenting their methods, we provide a guidelines for describing a microbiome data analysis. The guidelines span data transformations, justification for modeling choices, parameter interpretation, sensitivity analyses, code and data availability, and more. This checklist is available under a Creative Commons Zero (CC0) license, permitting condition-free distribution, adaptation, and development of our guidelines. While not required under this license, the authors appreciate your acknowledgement of their work.  ## Description of the data and file structure These guidelines were drafted by the authors.
DOI: 10.5683/sp3/kmwoyz
title: Replication Data and Code for: Assessing potential screening harms from overdiagnosis and false positives with multicancer early detection tests

description: We developed a stochastic microsimulation model to estimate the impacts of screening with multicancer early detection tests on future cancer incidence and outcomes. The dataset contains model predictions as R objects and code to generate the figures and tables in the paper "Assessing potential screening harms from overdiagnosis and false positives with multicancer early detection tests", to be submitted for publication.
DOI: 10.5061/dryad.9s4mw6mrv
title: Proteins identified from tumor-derived extracellular vesicles using mass spectrometry

description: Tumor-derived extracellular vesicles (tEVs) are important communication
 tools used by tumor cells to impact the function of other cells in the
 body. Accumulating evidence indicate that tEVs could impair the ability of
 immune cells in effectively attacking cancer cells. In our study, we find
 that proteins carried in tEVs are crucial for the immune-suppressive
 function of tEVs. In this study, we identified the proteins present in
 tEVs isolated from three different tumor cell lines: MCF7, A375, and A549.
 Proteins were extracted from the isolated tEVs, digested with trypsin, and
 analyzed by LC-MS/MS to identify the proteins. The identified proteins are
 listed in this dataset. Among the proteins identified, a total of 321
 proteins were shared in all three tEVs, indicating tEVs use a core set of
 proteins to exert their suppressive function.
description: Tumor-derived extracellular vesicles (tEVs) were isolated from
 A375, MCF7, and A549 tumor cells, respectively. Around 200 micrograms of
 proteins from each tEV sample were used for the proteomic analysis
 conducted at the Creative Proteomics Company. Proteins were precipitated
 using cold acetone, and the protein pellets were dissolved in 2 M urea.
 Samples were then treated with 10 mM DTT and incubated at 56 Celsius for 1
 h followed by alkylation with 50 mM IAA. Concentrated ammonium bicarbonate
 was added into the solution to make a final concentration of 50 mM
 ammonium bicarbonate with pH of 7.8. Proteins in the samples were digested
 with trypsin at 37 Celsius for 15 h. The resulting peptides were purified
 with C18 SPE column to remove salt, resuspended in 20 microliters of 0.1%
 formic acid and subjected to LC-MS/MS analysis on Ultimate 3000 Nano UHPLC
 system. Data were analyzed and searched based on the human protein
 database using Maxquant (1.6.2.14).
description: # Proteins identified from tumor-derived extracellular vesicles using mass
 spectrometry
 [https://doi.org/10.5061/dryad.9s4mw6mrv](https://doi.org/10.5061/dryad.9s4mw6mrv) ## Description of the data and file structure We have submitted our raw data (Proteins*Identified*fromtEVsviaMassSpectrometry.csv) that contain a list of proteins identified from the tEVs isolated from three different tumor cell lines. These cell lines are: MCF7 cell line, A375 cell line, and A549 cell line. "Protein names" indicate the name of the protein identified from the corresponding tEVs; "Gene names" indicate the corresponding gene name that encodes the protein. The first two columns list the proteins and their gene names of tEVs from MCF7 cells; The next two columns list the proteins and their gene names of tEVs from A375 cells; The last two columns list the proteins and their gene names of tEVs from A549 cells.
DOI: 10.48530/isoarch.2025.006
title: Isotopic analysis in pre-colonial Bonaire, Dutch Caribbean.

description: The islands of the southern Caribbean (islands off the Venezuelan coast), are isotopically understudied in the field of molecular anthropology, despite being a source of information regarding connections with the South American mainland. The aim of this dataset is to provide isotope concentrations from pre-colonial individuals recovered from the site of Amboina (c. 910 - 590 cal BP), in Bonaire, Dutch Caribbean. To our knowledge, this is the first isotope study on skeletal material from Bonaire. In order to establish the residential histories of the eight individuals, strontium (87Sr/86Sr) and oxygen (δ18Ο) isotopes from the dental enamel were analyzed. To investigate patterns of paleodiet, carbon isotopes from the dental enamel (δ13Cen) and carbon (δ13Ccol) and nitrogen isotopes (δ15Ncol) from the dental dentin were also analyzed. Additionally, radiocarbon dates are provided for the individuals where the analysis was possible.
DOI: 10.48530/isoarch.2025.006.v1
title: Isotopic analysis in pre-colonial Bonaire, Dutch Caribbean.

description: The islands of the southern Caribbean (islands off the Venezuelan coast), are isotopically understudied in the field of molecular anthropology, despite being a source of information regarding connections with the South American mainland. The aim of this dataset is to provide isotope concentrations from pre-colonial individuals recovered from the site of Amboina (c. 910 - 590 cal BP), in Bonaire, Dutch Caribbean. To our knowledge, this is the first isotope study on skeletal material from Bonaire. In order to establish the residential histories of the eight individuals, strontium (87Sr/86Sr) and oxygen (δ18Ο) isotopes from the dental enamel were analyzed. To investigate patterns of paleodiet, carbon isotopes from the dental enamel (δ13Cen) and carbon (δ13Ccol) and nitrogen isotopes (δ15Ncol) from the dental dentin were also analyzed. Additionally, radiocarbon dates are provided for the individuals where the analysis was possible.
DOI: 10.15139/s3/ff5cvw
title: Data Management and Sharing Plan for: A MACROMOLECULAR SELECTION PLATFORM FOR THE ISOLATION OF LANTHANIDE IONS

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.48530/isoarch.2025.007
title: Strontium isotope analysis of Iron Age cremation burials from Westhampnett, UK

description: Strontium isotope analysis ( 87 Sr/ 86 Sr) of Iron Age cremation burials in Britain. The analysis was conducted on 31 individuals from cremation burials at the Late Iron Age cemetery of Westhampnett, West Sussex, United Kingdom.
DOI: 10.48530/isoarch.2025.007.v1
title: Strontium isotope analysis of Iron Age cremation burials from Westhampnett, UK

description: Strontium isotope analysis ( 87 Sr/ 86 Sr) of Iron Age cremation burials in Britain. The analysis was conducted on 31 individuals from cremation burials at the Late Iron Age cemetery of Westhampnett, West Sussex, United Kingdom.
DOI: 10.5061/dryad.k6djh9wgv
title: Data from: An integrated approach to understanding noise stress in two auditorily diverse species of freshwater fish

description: Anthropogenic noise can have negative consequences on a fish’s ability to
 survive and reproduce and has been increasing over the past decades. To
 determine the integrated effects of anthropogenic noise on two auditorily
 diverse freshwater fish species, yellow perch (Perca flavescens) and
 spottail shiner (Notropis hudsonius), the current study assessed
 behavioural, physiological, and transcriptional metrics. Fish were exposed
 to anthropogenic noise or control sounds in a semi-captive field setting,
 and behavioural changes, blood cortisol levels, and relative transcription
 were analyzed for effects of anthropogenic noise. Results showed little
 effect of noise on yellow perch; however, spottail shiners were affected
 by noise at multiple levels of organization. Additionally, blood cortisol
 levels showed indications of handling stress in both species, overriding
 any potential effects of noise. For the first time, the current study
 differentiates stress effects from handling and those induced by
 environmental noise and shows that ecological impacts of anthropogenic
 noise can be both species- and metric-specific, indicating a need for a
 more systematic approach when analyzing potential noise impacts.
description: # An integrated approach to understanding noise stress in two auditorily
 diverse species of freshwater fish
 [https://doi.org/10.5061/dryad.k6djh9wgv](https://doi.org/10.5061/dryad.k6djh9wgv) ## Description of the data and file structure This dataset includes raw data files for transcriptional, physiological, and behavioural data for a study conducted on yellow perch and spot-tail shiner that were exposed to acute noise. Each file contains a “dictionary tab” defining variables found in the sheet. ### Files and variables #### File: BehaviourDataNoFormatting.xlsx **Description:** Swimming and startle data for yellow perch and spot tail shiner exposed to noise.  ##### Variables * Variables are defined within the "dictionary" tab on the excel sheet #### File: PerchShinerCortisolData.xlsx **Description:** Data sheet for blood cortisol data given in (ng/ul) ##### Variables * Variables are defined within the "dictionary" tab on the excel sheet #### File: PerchRelativeTranscriptionData.xlsx **Description:** Raw data sheet from the Open Array nanofluidic assays with relative transcription calculations for yellow perch.  ##### Variables * Variables are defined within the "dictionary" tab on the excel sheet #### File: ShinerRelativeTranscriptionData.xlsx **Description:** Raw data sheet from the Open Array nanofluidic assays with relative transcription calculations for spot tail shiner.  ##### Variables * Variables are defined within the "dictionary" tab on the excel sheet
DOI: 10.48530/isoarch.2025.008
title: Multi-isotope dataset of human, animal and plant samples from Czech Republic and Slovakia.

description: This dataset comprises a total of 1927 materials and includes 2354 samples, along with 2229 organic isotope measures (δ¹³C, δ¹⁵N, δ³⁴S), 422 mineral isotope measures (δ¹³C, δ¹⁸O, ⁸⁷Sr/⁸⁶Sr), and 38 radiocarbon measures. It compiles isotopic data from 49 sources, including journal articles, books, and academic theses (both master’s theses and doctoral dissertations). The dataset integrates isotope analysis results from archaeological and modern samples collected from sites in central Europe region specifically in the Czech Republic and Slovakia. The majority of these studies explore aspects such as diet, food practices, subsistence strategies, social dynamics, mobility patterns, and environmental influences among past populations.
DOI: 10.48530/isoarch.2025.008.v1
title: Multi-isotope dataset of human, animal and plant samples from Czech Republic and Slovakia.

description: This dataset comprises a total of 1927 materials and includes 2354 samples, along with 2229 organic isotope measures (δ¹³C, δ¹⁵N, δ³⁴S), 422 mineral isotope measures (δ¹³C, δ¹⁸O, ⁸⁷Sr/⁸⁶Sr), and 38 radiocarbon measures. It compiles isotopic data from 49 sources, including journal articles, books, and academic theses (both master’s theses and doctoral dissertations). The dataset integrates isotope analysis results from archaeological and modern samples collected from sites in central Europe region specifically in the Czech Republic and Slovakia. The majority of these studies explore aspects such as diet, food practices, subsistence strategies, social dynamics, mobility patterns, and environmental influences among past populations.
DOI: 10.5061/dryad.m63xsj4c1
title: Data from: Colostrum conductivity, pH and Brix index as predictors of passive immunity transfer in foals

description: Foal immunity relies heavily on the absorption of colostrum
 immunoglobulins; thus, colostrum evaluation is used to predict the
 transfer of passive immunity (TPI), and its conductivity is associated
 with TPI in cattle. Leading up to and at parturition, a reduction in
 colostrum pH and conductivity is thought to be necessary for TPI; however,
 this remains to be determined.  The objective of this study was
 to assess the conductivity, pH, and Brix refractometer index of colostrum
 to predict the TPI in foals. The colostrum of 241 mares was assessed for
 conductivity, pH, and Brix index using handheld devices immediately after
 parturition. Twenty-hour postpartum foals had complete blood cell count
 and plasma IgG concentrations assessed. Foals were split into complete
 versus incomplete TPI (i.e., IgG ≥8 g/L vs. &lt;8 g/L). Mare (breed,
 duration of pregnancy, parity, and age), foal (sex), and colostrum
 (conductivity, pH, and Brix index) data were computed to assess factors
 affecting TPI. Multivariate regression and receiver operating
 characteristic (ROC) curves were employed for analysis.
description: # Data from: Colostrum conductivity, pH and Brix index as predictors of
 passive immunity transfer in foals Dataset DOI:
 [10.5061/dryad.m63xsj4c1](https://doi.org/10.5061/dryad.m63xsj4c1) ##
 Description of the data and file structure ### Files and variables ####
 File: EVJ14421.xlsx **Description:** This table shows the raw data used to
 evaluate transfer of passive immunity (TPI) in foals based on colostrum
 quality and foal blood results. This study looked at whether simple
 colostrum tests can predict whether foals receive enough maternal
 antibodies after birth. Researchers measured colostrum conductivity, pH,
 and Brix index in 241 mares right after foaling, then measured foals’
 blood IgG levels at 20 hours. Foals were classified as having adequate or
 inadequate transfer of passive immunity. Using statistical analyses, the
 study evaluated how mare, foal, and colostrum factors were associated with
 successful immunity transfer. ##### Variables * Each row represents one
 mare–foal pair. * IgG is the foal’s plasma immunoglobulin concentration at
 ~20 hours postpartum and is the main indicator of TPI (higher = better
 immunity). * Conductivity, pH, and BRIX are measurements of the mare’s
 colostrum immediately after foaling, used to estimate colostrum quality
 and predict IgG transfer. * Breed, season, parity/management variables
 (PM), gestational age, and foal sex are mare/foal factors tested for their
 influence on TPI. * RBC and WBC come from the foal’s complete blood count
 to assess overall neonatal health. **Access information** Other publicly
 accessible locations of the data: * None Data was derived from the
 following sources: * None
DOI: 10.5061/dryad.xsj3tx9qw
title: Controlled environment agriculture (CEA) breeding of watercress in an indoor vertical farm

description: Significant genotypic diversity in the powerhouse vegetable watercress was
 identified through phenotyping the first global wild germplasm collection.
 Blue light exposure influenced photomorphogenesis, nutritional quality,
 and sensory traits, guiding the selection of elite genotypes for CEA
 breeding.
description: # Controlled Environment Agriculture (CEA) breeding of watercress in an
 indoor vertical farm
 [https://doi.org/10.5061/dryad.xsj3tx9qw](https://doi.org/10.5061/dryad.xsj3tx9qw) ## Description of the data and file structure Raw phenotype data from the screening trial of a wild germplasm collection of watercress (*Nasturtium officinale*; Brassicaceae) in an indoor vertical farm. ### Files and variables #### File: Phenotype\_Data-CEA\_breeding\_of\_watercress\_in\_an\_indoor\_vertical\_farm.xlsx **Description:** This is the complete spreadsheet of all phenotypes. There are abbreviations (documented in the abbreviations tab) and all units of measurement are included in the file.   \#N/A represents data not available (plant not measured for that specific trait). * In this multi-tab spreadsheet, the first sheet described glucosinolates quantification. * The second sheet was raw data from all phenotyping traits within the wild population. * The third sheet was Vitamin C quantification. * The fourth sheet was Folic acid concentration. * The fifth sheet was flavonoids quantification. * The sixth sheet was carotenoids concentration.   * The last sheet was an explanation of abbreviation.  #####