cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rr8bjs
title: Occurrence Download

description: A dataset containing 1613737 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-90.02753 21.48135,-90.04207 20.29166,-89.75687 19.7986,-88.59615 19.88046,-87.7113 20.45065,-87.54303 21.2604,-87.98479 21.61947,-90.02753 21.48135))"
 ]
}

 The dataset includes 1613737 records from 643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007171-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p3wgw555yk.1
title: The effect of virtual reality on learning outcomes

description: A second-order meta-analysis study
DOI: 10.15468/dl.q7r5wa
title: Occurrence Download

description: A dataset listing the 111 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Germany",
 "DatasetKey is Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria",
 "Geometry POLYGON((10.19849 49.88991,12.07715 49.88991,12.07715 50.75267,10.19849 50.75267,10.19849 49.88991))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "PublishingOrg is 0674aea0-a7e1-11d8-9534-b8a03c50a862",
 "Year 2021-2023"
 ]
}

 The dataset's 111 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007170-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r8cfz2f5n7.1
title: Dynamic monitoring of soluble PD-1 in CHB patients and its role in predicting PEG-IFNα-2b efficacy: a longitudinal cohort study

description: The study aimed to monitor the dynamic alterations of sPD-1 and assess its potential as an innovative biomarker for HBsAg loss in CHB patients undergoing PEG-IFNα-2b treatment. A total of 222 CHB patients were prospectively enrolled from a real world study (The Everest Project in China, NCT 04035837). Virological indexes, sPD-1 levels and Clinical indexes were dynamically examined every 12 weeks over a period of at least 48 weeks. The correlations between sPD-1 level and key virological and biochemical parameters were analysed. Furthermore, to minimize the potential bias, patients in the cured group were matched (1:1) with those in the uncured group by propensity scores based on HBsAg levels at baseline. Then, we explored the association of sPD-1 levels with HBsAg loss and evaluated the value of sPD-1 in predicting HBsAg loss. Patients with HBsAg loss exhibited both lower sPD-1 levels and HBsAg levels. A decline in sPD-1 levels were observed during PEG-IFNα-2b treatment. While compared to uncured patients, a significant reduction in sPD-1 was observed in cured patients over time. Elevated levels of sPD-1 were observed in participants with higher levels of HBsAg. sPD-1 level was significantly correlated with HBsAg levels, and was weakly correlated with HBsAb ( P &lt; 0.001). After propensity score matching of 74 patients in cured group with 74 patients in uncured group, sPD-1 level with a cutoff value of 37.2 pg/mL at week 24 had a good performance in predicting HBsAg loss, with an area under the curve (AUC) of 0.728 (0.640-0.802, P &lt; 0.001).
DOI: 10.15468/dl.423mcy
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-65.8372 -31.4533,-25.67948 -31.4533,-25.67948 -3.42655,-65.8372 -3.42655,-65.8372 -31.4533))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "Year 1974-2024"
 ]
}

 The dataset includes 166 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007174-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8y68hg
title: Occurrence Download

description: A dataset containing 58154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor Cope, 1862"
 ]
}

 The dataset includes 58154 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007173-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/vzykid
title: LLM Responses for ChatNetZero Evaluation

description: Companion data for our paper Evaluating ChatNetZero, an LLM-Chatbot to Demystify Climate Pledges accepted to ClimateNLP 2024.
DOI: 10.15468/dl.yumhkk
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mesene croceella Bates, 1865"
 ]
}

 The dataset includes 422 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007175-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ngckx2d6tr.1
title: Ecological vulnerability in the Middle Yellow River Basin

description: Ecological vulnerability and impact factors, 2000, 2005, 2010, 2015, 2021
DOI: 10.17632/4b8t8p7f62.1
title: Pronounced Pacific-side Arctic sea ice melting during the Late Holocene

description: Data file 1 shows the measured data of core LV77-36-1 used in this study, including the Age model, biomarker dataset,diatom species. Data file 2 shows the referenced data in Extended Data Table 1, including the paleo-climate evidences used in this study from 20 referenced sites. Data file 3 shows the referenced data in Extended Data Table 2, including the paleo-sea ice records compiled in this study from the pan Arctic regions.
DOI: 10.17909/v0qw-x584
title: Data from OPAL 10-year trends paper
DOI: 10.17632/bjdg7rynd8.1
title: A study of Therapeutic potential of fecal microbiota transplantation for cardiac dysfunction in colorectal cancer mice: regulating serum metabolites and myocardial cytokines. Zhan-Kui Gao et al.

description: In this study, we identified cardiac dysfunction in azomethane and dextran sodium sulfate-induced colorectal cancer mice. Intestinal microbes from healthy mice were transferred to colorectal cancer mice, which vastly reversed the disorder of the gut microbiota and effectively alleviated cardiac dysfunction. Moreover, FMT regulated the expression of serum metabolites such as andrographolide, UTP, and tiamulin, as well as cytokines like TGF-β, IRF5, and β-MHC in the heart. These findings uncover that the disturbed gut microbiota causes cardiac dysfunction in colorectal cancer mice by modulating the expression of serum metabolites and cytokines, which could be alleviated by treatment with FMT.
DOI: 10.17632/bjdg7rynd8.2
title: Cadiac function of colorectal cancer mice is remotely controlled by gut microbiota: regulating serum metabolites and myocardial cytokines. Zhan-Kui Gao et al.

description: In this study, we identified cardiac dysfunction in azomethane and dextran sodium sulfate-induced colorectal cancer mice. Intestinal microbes from healthy mice were transferred to colorectal cancer mice, which vastly reversed the disorder of the gut microbiota and effectively alleviated cardiac dysfunction. Moreover, FMT regulated the expression of serum metabolites such as andrographolide, UTP, and tiamulin, as well as cytokines like TGF-β, IRF5, and β-MHC in the heart. These findings uncover that the disturbed gut microbiota causes cardiac dysfunction in colorectal cancer mice by modulating the expression of serum metabolites and cytokines, which could be alleviated by treatment with FMT.
DOI: 10.17632/bjdg7rynd8.3
title: Cadiac function of colorectal cancer mice is remotely controlled by gut microbiota: regulating serum metabolites and myocardial cytokines. Zhan-Kui Gao et al.

description: In this study, we identified cardiac dysfunction in azomethane and dextran sodium sulfate-induced colorectal cancer mice. Intestinal microbes from healthy mice were transferred to colorectal cancer mice, which vastly reversed the disorder of the gut microbiota and effectively alleviated cardiac dysfunction. Moreover, FMT regulated the expression of serum metabolites such as andrographolide, UTP, and tiamulin, as well as cytokines like TGF-β, IRF5, and β-MHC in the heart. These findings uncover that the disturbed gut microbiota causes cardiac dysfunction in colorectal cancer mice by modulating the expression of serum metabolites and cytokines, which could be alleviated by treatment with FMT.
DOI: 10.17632/4zswn4t7c3.1
title: Higher Education and Labour Market Data

description: This data set includes the quantitative data and software, qualitative data (both Amharic and English version), instruments, and sources of data. The quantitative data was gathered from 161 respondents as part of a doctoral dissertation titled "Higher Education and Labor Market in Ethiopia: A Tracer Study of Graduate Employment in Engineering from Addis Ababa and Bahir Dar Universities." In the recent extracted article titled "Higher Education, Gender, and Job Opportunities of Engineering Graduates in Ethiopia: An Exploratory Study," only 158 data points out of 161 were entered into SPSS because of three missing data points, which makes it difficult to use bootstrapping with missing data, so only 158 data points were considered. A variable that has missing data is eliminated. This research uses bootstrapping to see the model's performance in terms of predicting power, so by increasing the sample size, it is possible to simulate the model's projections (Collier, 2020).
DOI: 10.17632/kydkgy2d9y.1
title: Source data of "In situ identification of intracellular glycoRNAs"

description: Source data from Figures 2B-D, 4C-E, 6B-E, S8-S12, S17-S23, and S27-S34.
DOI: 10.17632/xc8xxz4wbw.1
title: Effects of yeast culture on performance, blood biomarkers, rumen fermentation, microorganisms and rumen metabolism of end-lactation Holstein dairy cows

description: Supplementary materials used in this study.
DOI: 10.15468/dl.3ue9dc
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia sericea M.Martens & Galeotii"
 ]
}

 The dataset includes 102 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007179-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8f2w23gvpn.1
title: ANCHOR Database

description: ANCHOR
DOI: 10.17632/ngzpzhtc2y.1
title: Data for “Sub-micron craters on Chang'e-5 lunar soils: records of complex space weathering processes”

description: Data for “Sub-micron craters on Chang'e-5 lunar soils: records of complex space weathering processes”
DOI: 10.5281/zenodo.12610822
title: Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization (DataSet)

description: Data from the article: "Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization", L. Reyes, K. Campos, G. D. Avendaño, L. González-Paz, A. Vivas, Y. J. Alvarado, and S. Flores.

Data to be used with some implementation of the forecasting method of reference:Sugihara G. and May R. M., Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series, Nature 344, 734–741 (1990).
DOI: 10.5281/zenodo.12610823
title: Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization (DataSet)

description: Data from the article: "Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization", L. Reyes, K. Campos, G. D. Avendaño, L. González-Paz, A. Vivas, Y. J. Alvarado, and S. Flores.

Data to be used with some implementation of the forecasting method of reference:Sugihara G. and May R. M., Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series, Nature 344, 734–741 (1990).
DOI: 10.6073/pasta/54c48567c1d853a8bcd6719d1833f77f
title: Root productivity of riverine and scrub mangroves from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, March 2024 - ongoing

description: Root productivity of riverine and scrub mangroves in the Florida Everglades: Mangrove root productivity in the shallow root zone (0-45 cm depth) was estimated at all Shark River (SRS-4, SRS-5, SRS-6, SRS-7) and Taylor River (TS/Ph-6, TS/Ph-7) sites in March-April 2024. Root productivity was estimated with the ingrowth core technique using the same sampling protocol previously published for the study area (Castañeda-Moya et al. 2011). Ingrowth cores (10.2 cm diameter x 45 cm length) were made of synthetic material (3 mm mesh) and filled with root-free commercial sphagnum peat moss. This material has similar soil properties (i.e., bulk density, organic matter content, total C and N) as mangrove peat in our study sites as previously reported by Castañeda-Moya et al. (2011). Ingrowth cores were installed in holes made out with a PVC coring device (10.2 cm diameter x 45 cm length). At each site, 8 ingrowth cores were deployed vertically into the soil to a depth of 45 cm and retrieved one year later (March-April 2024). After collection, ingrowth cores were processed individually and initially rinsed with water through a 1-mm screen mesh to remove soil particles and peat moss material. Live roots were separated manually based on their buoyancy, turgor, and color (Castañeda-Moya et al. 2011; Cormier et al. 2015; Medina-Calderon et al. 2021). Live roots were further sorted into three size diameter classes including fine (&lt;2 mm), small (2-5 mm), and coarse (5-20 mm). Roots greater than 20 mm in diameter were not included in this study due to sampling limitations (i.e., core area). All root samples were oven-dried at 60°C to a constant mass and weighed. Root growth within each ingrowth core following one year of incubation was used to estimate annual root productivity (g m⁻² yr⁻¹) in the shallow root zone across all mangrove sites. This is an ongoing project with data collection occurring every 2-3 years after 2024. All data collection and processing were funded by FCE-LTER.
 
 References:
 Castañeda-Moya, E., R.R. Twilley, V.H. Rivera-Monroy, B.D. Marx, C. Coronado-Molina, and S.M.L. Ewe. 2011. Patterns of root dynamics in mangrove forests along environmental gradients in the Florida Coastal Everglades, USA. Ecosystems 14: 1178-1195. https://doi.org/10.1007/s10021-011-9473-3.
 Cormier, N., R.R. Twilley, C.K. Ewel, and K.W. Krauss. 2015. Fine root productivity varies along nitrogen and phosphorus gradients in high-rainfall mangrove forests of Micronesia. Hydrobiologia 750, 69-87.
 Medina-Calderon, J.H., J.E. Mancera-Pineda, E. Castañeda-Moya, and V.H. Rivera-Monroy. 2021. Hydroperiod and salinity interactions control mangrove root dynamics in a karstic oceanic island in the Caribbean Sea (San Andres, Colombia). Frontiers in Marine Science 7: 598132. https://doi.org/10.3389/fmars.2020.598132.
DOI: 10.15468/dl.9cjsa6
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Arabis olympica Piper)"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007180-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh942a
title: Occurrence Download

description: A dataset containing 8008 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Avistajes de espcies de valor especial en áreas protegidas del noreste de Argentina"
 ]
}

 The dataset includes 8008 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007181-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vzx64zbkny.1
title: Good and Bad classification of Amaranthus Leaf Red (Amaranthus cruentus) )

description: Data Description: Good and Bad Classification of Amaranthus Leaf (Amaranthus cruentus)
This project involves a dataset aimed at classifying Amaranthus Leaf (Amaranthus cruentus) into "good" and "bad" categories. The dataset comprises a total of 1000 samples, evenly divided into 500 good samples and 500 bad samples. The classification is based on specific criteria related to the health and quality of the leaves.

Dataset Overview
Total Samples: 1000
Good Samples: 500
Bad Samples: 500
Data Attributes
Each sample in the dataset consists of several attributes that provide detailed information about the characteristics and conditions of the Amaranthus leaves. These attributes include both visual and measurable properties that are crucial for determining the quality of the leaves.

1. Visual Attributes
Color: A descriptor or numerical representation of the leaf color, indicating chlorophyll content and overall health.
Texture: A qualitative or quantitative measure of the leaf surface, indicating smoothness or roughness.
Shape: Geometric properties of the leaf, such as length, width, and edge irregularities.
Damage Marks: Presence of any physical damage, such as holes, tears, or discoloration spots.
Uniformity: Consistency in the appearance of the leaf surface, indicating uniform growth and health.
2. Measurable Attributes
Leaf Area: The total surface area of the leaf, typically measured in square centimeters.
Moisture Content: The percentage of water content within the leaf, indicating hydration levels.
Nutrient Levels: Concentrations of essential nutrients, such as nitrogen, phosphorus, and potassium.
Pest Damage: Indicators of pest infestation, such as bite marks or presence of pests.
Disease Symptoms: Signs of disease, such as wilting, yellowing, or mold growth.
Good vs. Bad Classification Criteria
The classification of leaves into good and bad categories is based on a combination of the above attributes. Here are the general criteria used:

Good Leaves
Color: Vibrant green, indicating high chlorophyll content.
Texture: Smooth and uniform texture without rough patches.
Shape: Regular shape without significant deformities.
Damage Marks: Minimal or no physical damage.
Uniformity: High consistency in appearance.
Leaf Area: Optimal size for the species.
Moisture Content: Adequate hydration.
Nutrient Levels: Balanced nutrient levels.
Pest Damage: Little to no signs of pest damage.
Disease Symptoms: No visible signs of disease.
Bad Leaves
Color: Pale, yellow, or brown, indicating low chlorophyll content.
Texture: Rough or irregular texture.
Shape: Deformed or irregular shape.
Damage Marks: Visible physical damage, such as holes or tears.
Uniformity: Inconsistent appearance.
Leaf Area: Smaller or larger than the optimal size.
Moisture Content: Low hydration levels.
Nutrient Levels: Imbalanced nutrient levels.
Pest Damage: Visible signs of pest damage.
DOI: 10.17632/79v64694b5.1
title: Referral Profile of the Integrated Emergency Management System in a Local Hospital in Indonesia

description: The Integrated Emergency Management System (IEMS) in Indonesia is an emergency patient management system with an integrated emergency patients service mechanism consisting of pre-hospital, in-hospital and inter-hospital services.
DOI: 10.17632/jnkjtfyfrf.1
title: Drivers of Innovation and Competitiveness in SMEs: A Comprehensive Analysis of the Latin American and Caribbean Region

description: This data was use to investigate the key drivers of innovation and competitiveness in small and medium-sized enterprises (SMEs) within the Latin American and Caribbean (LAC) region,
DOI: 10.17632/2sr5bwb8hv.1
title: Baicalein suppresses Coxsackievirus B3 replication by inhibiting caspase-1 and viral protease 2A

description: All the data generated during the current study are included in the manuscrip, included WB data, RT-qPCR data and some data about vivo experiments.
DOI: 10.17632/hxyjv63nyd.1
title: PAHs in Ethiopian soils

description: This dataset encompasses comprehensive data on the presence and distribution of Polycyclic Aromatic Hydrocarbons (PAHs) in 33 soil samples collected from different regions of Ethiopia. The data includes detailed information on the concentration levels of 16 PAH compounds and the potential sources.
DOI: 10.17632/n634dgmbk2.1
title: Roadkill data of wild vertebrates in Northern Central America

description: We collected data on vertebrate wildlife-vehicle collisions from self-initiated iNaturalist projects in Guatemala, El Salvador, and Honduras to establish the first comprehensive database of species affected by roads in the Northern Central America (NCA) region. These projects are driven by citizen scientists, biologists, and conservationists and were non-systematically collected. 

The database covers 670 records from 2011 to December 31, 2023, and has undergone rigorous review to classify each entry using accompanying photos to the lowest taxonomic level possible. We also removed errors such as duplicates and location inaccuracies by ensuring collision sites align with roadways. The database will be updated annually, with the next update scheduled for January 2025. 

To access the raw database, please visit the project websites on iNaturalist: 
El Salvador: https://mexico.inaturalist.org/projects/fauna-atropellada-de-el-salvador
Honduras: https://mexico.inaturalist.org/projects/fauna-atropellada-en-carreteras-de-honduras
Guatemala: https://mexico.inaturalist.org/projects/fauna-atropellada-en-carreteras-de-guatemala
DOI: 10.15468/dl.wcr6yf
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-77.31773 40.43045,-67.32661 40.43045,-67.32661 47.07617,-77.31773 47.07617,-77.31773 40.43045))",
 "HasGeospatialIssue is false",
 "TaxonKey is Urocyon cinereoargenteus (Schreber, 1775)",
 "Year 1000-1941"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007182-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tmezc
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea thracica Velen."
 ]
}

 The dataset includes 58 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007183-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4enx94
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elytraria imbricata (Vahl) Pers.",
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007184-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c57d2qk1c
title: MassIVE MSV000095201 - metabolomics and lipidomics analysis for gut bacteria after pesticide exposure
title: raw file for ATCC 8483 metabolomics analysis after pesticide exposure