cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4wkc6mvf9g
title: Isotopic insights from carpological remains: one of the first datasets for the Italian Bronze Age

description: The dataset encompasses 180 carpological remains from various crop types, including Vicia faba, Triticum mococcum/dicoccum, Triticum aestivum, and Hordeum vulgare. These remains are derived from four archaeological sites situated in northern and central Italy, dating back to the Early-Middle Bronze Age: the pile-dwelling of Ledro, the settlement of S. Maria in Belverde, Grotta Nuova, and Grotta di Pastena.
The data are useful to reconstruct agricultural practices of ancient communities, filling partially the lack of data that characterized the Italian Bronze age. The aim of the work is to return a regional picture through the isotopic values obtained, becoming a pattern for future analyses. Prior to conducting stable isotope analysis, the samples underwent archaeobotanical studies. Microscopic analysis of seeds was carried out, aided by modern comparative collections and illustrated atlases. Seeds from Ledro are unburned, while those from S. Maria in Belverde, Grotta Nuova, and Grotta di Pastena are burned.
Given the absence of an established protocol for stable isotope analysis on carpological remains, two different methods were employed to assess whether chemical pre-treatment affected the isotopic signatures of the grains. Twenty samples underwent the ABA pre-treatment protocol (Fraser et al., 2013b), while the remaining seeds were individually crushed in a mortar, with the resulting powder fed into the isotope ratio mass spectrometer. There are no defined criteria for rejecting plant isotope measurements based on C/N ratios, so we adhered to the guidelines proposed by Vaiglova et al. (2014). To ensure the reliability of measurements, each grain was measured three times, following the recommendations of Mueller-Bieniek et al. (2019) and O’Connell et al. (2019).
The preparation of carpological remains took place at the Centre of Molecular Anthropology for Ancient DNA Studies at the University of Rome “Tor Vergata.” Carbon and nitrogen stable isotope ratios were measured in a double run using a Delta Plus XP isotope ratio mass spectrometer coupled with a Flash 1112 Elemental Analyser via a Conflow IV interface (Thermo Scientific Milan, Italy) at the Food Quality and Nutrition Department, Traceability Unit – Fondazione Edmund Mach. Estimations of manuring rates were determined through comparison with various methodological approaches (e.g., Bogaard et al., 2007, 2013; Kanstrup et al., 2014; Styring et al., 2016; Treasure et al., 2016). The watering status of seeds was established through carbon values, following Ferrio et al. (2005) and Wallace et al. (2013).
In conclusion, the obtained results show how legumes and cereals have been manured and watered by humans; nevertheless, it seems that in settlements crops have been more subjected to human management; conversely in cave contexts agricultural practices were less significant.
DOI: 10.17632/g9drpbstf2
title: Brand Recognition, Customer Loyalty, Expansion Model

description: 1. Brand Recognition Model
The Brand Recognition Model evaluates the awareness levels of a brand across different geographical scopes and its marketing reach. The data comprises:
Awareness Level Local: Simulated using a Beta distribution with parameters (2, 5), this variable represents local brand awareness as a percentage, scaled to a range of 0 to 100. The skewed distribution suggests that while some individuals have high awareness, many have lower levels.
Awareness Level Regional: This variable is generated using a Beta distribution (5, 2), reflecting a higher average awareness level compared to local awareness. It indicates that regional marketing efforts may be more effective.
Awareness Level National: Similar to the previous variables, this is derived from a Beta distribution (3, 7), indicating a tendency towards lower national awareness levels.
Marketing Reach Online: This variable follows a normal distribution with a mean of 5000 and a standard deviation of 1000, representing the online reach of marketing efforts. This reflects typical variations in online audience engagement.
Marketing Reach Offline: Generated from a log-normal distribution (mean=8, std=0.5), this variable captures the offline marketing reach, emphasizing that most values will cluster around the mean with a long tail towards higher values.
Brand Recall: This percentage is drawn from a uniform distribution between 30 and 80, indicating variability in how well customers remember the brand.
The summary statistics for this model provide insights into central tendencies and dispersions for each variable, facilitating an understanding of brand recognition dynamics.
2. Customer Loyalty Model
The Customer Loyalty Model focuses on key metrics that indicate customer retention and satisfaction:
Customer Retention Rate (CRR): This percentage is generated using a Beta distribution (2, 5), reflecting the likelihood of customers continuing their relationship with the brand. The resulting values suggest that while some customers remain loyal, there are challenges in retaining others.
Net Promoter Score (NPS): Simulated using a Poisson distribution with an average score of 7, this variable measures customer willingness to recommend the brand to others. The NPS is crucial for assessing overall customer satisfaction and loyalty.
Customer Lifetime Value (CLV): This metric is derived from a log-normal distribution (mean=9, std=0.3), indicating the potential revenue generated from customers over their lifetime. The skew towards higher values reflects the presence of high-value customers.
Summary statistics for this model will reveal insights into customer loyalty metrics and highlight areas for improvement in retention strategies.
3. Expansion Potential Model
The Expansion Potential Model assesses factors influencing a company's ability to grow and adapt.
DOI: 10.17632/gcnstc8syw
title: The effect of forager loss on honeybee workers temporal polyethism and social network structure

description: The western honeybee Apis mellifera is perhaps the best-known example of an advanced eusocial species displaying temporal polyethism, a process in which workers perform different tasks in the colony as they age. Previous studies demonstrated that this temporal division of labour is not only regulated by the age of the bees but also by the proportion of workers performing the required tasks in the colony. As we progress through the Anthropocene, the Intergovernmental Panel on Climate Change predicted that a significant increase in both the frequency and intensity of severe weather events can be expected in the coming decades. Here, we performed a controlled interrupted time series experiment with the objective of quantifying the possible effects that these weather events might have in the honeybee colony dynamics. By simulating a significant loss of foragers in the colony, we observed that honeybee workers quickly replaced the missing foragers by accelerating their transition to a subsequent task and, in some cases, completely skipped several of the natural task transitions with respect to their age. In addition, we analysed how the colony social network structure is affected by the sudden loss of foragers. Indeed, our data show that honeybee colonies increased their network cohesion with workers having a higher number of interactions as well as becoming more closely connected to one another soon after the disturbance. Overall, our data shows that even when faced with a substantial perturbation, honeybees can respond swiftly in order to maintain colony homeostasis and likely increase their resilience against future perturbations.
DOI: 10.17632/jzsx489pmk
title: Broadly neutralizing antibodies target a hemagglutinin anchor epitope, Guthmiller et al. 2021

description: This study was designed to analyze the B cell repertoire of cH5/1 binding B cells following vaccination with the cHA platform. Human B cells (CD19+IgM-CD27+cH5/1+) were sorted at day 113 and were used for downstream sequencing. This dataset is comprised of a collection of BCR sequences of 1952 antibodies with paired heavy chain and light chain, a collection of BCR sequences of 119 anchor antibodies, and a collection of BCR sequences of 365 VH1-69&kappa. 

PROTOCOLS: 
cH5/1+ memory B cells (CD19+CD27+HA+) were bulk sorted and partitioned into nanoliter-scale Gel Bead-In-Emulsions (GEMs) to achieve single cell resolution using the 10x Genomics Chromium Controller and according to the manufacturer’s instruction (10x Genomics). The sorted single cells were processed according to 5’ gene expression and B cell Immunoglobulin (Ig) enrichment instruction to prepare the libraries for sequencing. Libraries were sequenced using an Illumina HiSeq 4000 at Northwestern University or an Illumina NextSeq 500 at the University of Chicago. 

Cellranger Single-Cell Software Suite (version 3.0) was used to perform sample de-multiplexing, barcode processing, and single-cell 5’ and V(D)J counting, and Cellranger mkfastq was used to de-multiplex raw base call (BCL) files into sample-specific fastq files. Subsequently, GRCh38-1.2.0 and cellranger-vdj-GRCh38-alta-ensembl-2.0.0 were used as references for the transcriptome and V(D)J assembly, respectively. Cellranger counts and Cellranger vdj package were used to identify gene expression and assemble V(D)J pairs of antibodies. BCR sequences were then processed by IgBlast and our in-house software VGenes. 

Please see readme.xlsx file for more details.
DOI: 10.6084/m9.figshare.26335903.v1
title: EcoPhyloSim v0.3

description: R package for simulation of biogeographical and phylogenetic data v 0.3All versions of this package, as well as installation instructions, are available at https://theoreticalecology.github.io/EcoPhyloSim/<br>
DOI: 10.17632/878znykp3p
title: Dataset for Why is Dollar Debt Cheaper? Evidence from Peru

description: This folder explains the details about the information used in the paper “Why is Dollar Debt Cheaper? Evidence from Peru” by Bryan Gutierrez, Victoria Ivashina, and Juliana Salomao
DOI: 10.17632/hrmxybrd2n
title: Life histories of myeloproliferative neoplasms inferred from phylogenies 

description: Per subject somatic mutation calls for 12 individuals analysed in "Life histories of myeloproliferative neoplasms inferred from phylogenies"  ( DOI : 10.1038/s41586-021-04312-6 ).
DOI: 10.17632/kb3f8gvczj
title: Original dataset of indictments and non-indictments from April 15, 2013 to July 2, 2022 in four regions of China, including Beijing, Zhejiang, Guangdong, and Yunnan

description: This is a quantitative big dataset of 140,000 indictments and non-indictments from April 15, 2013 to July 2, 2022 in four regions of China, including Beijing, Zhejiang, Guangdong, and Yunnan. The dataset may contain extraneous or irrelevant data (e.g., noise or redundant information), and users are advised to perform appropriate data cleaning based on the specific research objectives.
DOI: 10.17632/nmdyn28mxv
title: Comparison of the natural increase rate in the Russian Federation, Republic of Kazakhstan, Republic of Belarus, Kyrgyz Republic, and Republic of Estonia for the period from 1990 to 2024

description: Since 1991, the governments of 15 countries, formerly integrated into a unified cultural, economic, social, and legal framework within the Union of Soviet Socialist Republics, have sequentially decided to secede from the union and build sovereign nation-states with independent foreign and domestic policies.
The dataset has been compiled with the aim of studying the demographic policies of post-Soviet countries, including the Russian Federation, Republic of Kazakhstan, Republic of Belarus, Kyrgyz Republic, and Republic of Estonia.
For consistency in comparison, demographic statistics were obtained from a single source: the non-profit, non-governmental resource “Database.earth,” which bases its data on the report titled “2024 Revision of World Population Prospects” prepared by the Department of Economic and Social Affairs of the United Nations.The files include two tables (with corresponding charts):
1. The natural increase rate in the studied countries over the period from 1990 to 2024.
2. Urban-rural population ratio in the studied countries as of 2024.
The natural increase rate is a standardized indicator that allows comparisons between different states regardless of their size or level of economic development.
Private trends for individual states.
1. The Russian Federation. After a stable period of positive growth in the late 1980s, the country faced a deep crisis in the first half of the 1990s (-5.7% in 1995). By the beginning of the 21st century, dynamics stabilized, but the overall trend remains negative. Attempts to restore fertility led to temporary improvement in 2015 (+0.3%). 
2. Republic of Kazakhstan. The country maintained a positive growth dynamic almost throughout the observation period. The highest peak of growth falls on the early 2010s (13.6% in 2010, 15.2% in 2015), demonstrating high rates of population reproduction. However, by the end of the observed period (2024), there is also a gradual slowdown in growth noted.
3. Republic of Belarus. The situation in Belarus is characterized by alternating positive and negative phases. The beginning of the 1990s was marked by a significant drop, followed by a weak recovery period. Nevertheless, the general tendency is towards maintaining low levels of growth, transitioning into an insignificant minus by the 2020s.
4. Kyrgyz Republic. The only country showing sustained positive values of growth over the entire study period. Although some reduction in positive figures has been observed, nevertheless, it maintains relatively high rates of natural increase (approximately +15-18%).
5. Estonian Republic. This country stands out with the strongest volatility among the reviewed states. Except for one year (2010), natural growth remained consistently negative. The significant fall was observed in the mid-1990s and continued through the first decades of the 21st century.
DOI: 10.17632/yxc2wg272k
title: Data for: Predictors of availability of long-acting medication assisted therapy for opioid use disorder

description: Variables derived from publicly available data, including NSSATS, CDC Wonder, Medicaid expansion dates
DOI: 10.6084/m9.figshare.25623456.v1
title: <b>Predictors of Mental Health Strain in College Students in the Context of Covid-19</b>

description: We attempted to see which factors most closely relate to the negative mental health issues many college students face, especially in the context of the Covid-19 pandemic
DOI: 10.17632/2byy5b3g6y
title: Somatic SNPs and indels in patients with atherosclerosis

description: The dataset contains somatic SNPs and indels found analyzing the white blood cells and carotid atherosclerotic plaque of the same patients. The data was gathered by whole exome sequencing technology. The variants were calling by GATK4 Best practice workflow “Somatic short variant discovery (SNPs + Indels).”
DOI: 10.17632/7rksfp2bbk
title: Flow condensation R134a, R450A, and R513A: IJHMT publication by Morrow and Derby

description: Experimental flow condensation heat transfer coefficient and pressure drop data are tabulated for R134a, R513A, and R450A in seven parallel 0.95-mm diameter mini-channels for a range of mass fluxes (i.e., 200–500 kg/m2s) and qualities (i.e., 0.2–0.8) at a saturation temperature of 40°C. The heat transfer coefficient uncertainties for all experiments were ± 6.3–21.2%, with an average of ± 9.8%. The data tabulated are the raw data from the paper “Flow condensation heat transfer and pressure drop performance of R134a alternative refrigerants R513A and R450A in a 0.95-mm-diameter minichannel,” accepted by the International Journal of Heat and Mass Transfer and its accompanying Data in Brief.
DOI: 10.17632/v8p7r5nfrf
title: Predicting forest products price trend: the example of Scots pine in Catalonia

description: When deciding on how to estimate future prices, due to influences that are likely to affect a product, we should consider two factors: the expected inflation and the real price change.
The rate of real price change allows us to plot a trend line based on time series reflecting existing or past market price, that is, on "facts".
Usually, many potential users are not going to use sophisticated forecasting techniques to estimate future prices, preferring to rely on simple approximation techniques. If acceptable time price series is available, then the simplest approach is to evidence a trend line over time that can be extended into the future. This can be done with regression analysis. In working with historical data, we could arrive at a medium-term trend estimate, which excludes the effects of inflation.
Although the real price of forest products does not usually vary in an exponential way, the normal practice in investment analyses is often simplified by compounding price using a real price change rate.
We can get the annual rate of real price change (r) from a linearized model that allows us to keep the statistical robustness of a linear regression model (with statistics, confidence indicators and tests), but applying the compound rate approach used in mathematics of finance. To do that, the well-known basic formula for compounding Pn=P0 (1+r)^n, where:
   Pn = estimated price in year n
   P0= price in year 0
   r = annual rate of real price change (the real compound rate)
   n = number of years from year 0

is transformed into that of a straight line by making a change of variables (linearization).

The proposed method is easy to reproduce and seems more orthodox than apply projections made using a simple straight-line model. Even though the straight-line represents an average variation over the years, from a mathematics of finance approach we should discuss price variation in terms of the annual compound rate. In Figure 1, you can see the differences between these approaches.
If we have a clear trend in past real prices and the likelihood of a real price variation, we could make future price assumptions. If you agree with this statement and believe that price trend based on historical patterns is a significative information, then you should use r value gotten from the linearized model here proposed to project the price according to the previous compounding equation, where P0 is any real price calculated through the linearized compounding model (Table I).
In Catalonia, most of forest products prices have not kept up with inflation and reflect a declining trend. A few others have just barely kept up with inflation. This is means that, despite moderate growth in nominal terms, the real price of almost all Catalan forest products presents a negative trend. For example, Scots pine sawlogs -the most representative harvested species in Catalonia (the 27% of the total volume yearly logged)- have dropped by an average of almost 2% per year since 1980.
DOI: 10.17632/8rfzwb72nk
title: Data for: A Novel Energy Pile: The Thermo-Syphon Helical Pile
DOI: 10.17632/jzppg7h8j4
title: Microplastic pollution isolation - a forensic science approach

description: To use this dataset, please download and extract the zip file that it contains, then read the Introduction that is provided in that file. This dataset contains the raw experimental data that resulted from the simulation experiment reported by Gwinnett Osborne and Jackson (2021). It also contains the raw spectral data that was used to plot the Raman spectra given in that paper, together with the R code that was used to process and analyse both these sets of raw data and the output from that code. As described in the Introduction referred to above, that simulation experiment was primarily designed to explore the effect of filter type and Büchner funnel type on the rate of target microplastic (MP) particle recovery from filters by tape lifting with Easylift®. The data generated also allowed the effect of those factors on the rate of target MP particle recovery from water by filtration to be studied. The target MP particles used were fluorescent polyester fibres taken from a high-visibility vest. That simulation experiment has a 2 x 2 balanced factorial design. In that experiment, the dependent variable of primary interest (DV1) was the percentage of target MP particles present on the filter that were recovered on the tape. The independent variables (IVs) were the factors: • filter type (with two levels); • funnel type (also with two levels). Data were also gathered that allowed: • the filters’ water contents at the point of tape lifting to be known and used as a covariate; • a dependent variable of secondary interest (DV2) to be calculated. DV2 is the percentage of target MP particles present in the water that were recovered on the filter. Both DV1 and DV2 are recovery rates and are referred to as such in this dataset. The simulation experiment had three repeat determinations for each unique combination of factor levels - giving a total of 12 determinations overall for each. For each of these, data were recorded that allowed each of the two recovery rates and the covariate referred to above to be calculated. The Raman spectra were obtained from four samples. This was done via confocal Raman spectroscopy using a Renishaw inVia Raman Microscope with Leica microscope. The raw Raman spectra were exported as x, y coordinate data. By means of source code provided in this dataset, these spectra were each processed using the R programming language to correct for baseline drift and to use LOESS smoothing to boost the signal to noise ratio. Further experimental details are provided in the dataset. Reference: Gwinnett, C M B, Osborne, A O and Jackson, A R W (2021) The application of tape lifting in microplastic pollution monitoring, Environmental Advances, DOI: https://doi.org/10.1016/j.envadv.2021.100066.
DOI: 10.6084/m9.figshare.21731330.v4
title: Compendium of Global Marine Cold Seep Metagenome Reveals Diversity and Novelty of Taxonomy, Metabolic Function and Natural Products

description: The genome sequence of 3,175 MAGs and 54Gb Non-redundant Contigs of Cold Seep Microbiomic Database (CSMD). Please cite "Compendium of Global Marine Cold Seep Metagenome Reveals Diversity and Novelty of Taxonomy, Metabolic Function and Natural Products".