cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28388060
title: data.xlsx

description: Arbuscular mycorrhizal fungi (AMF) substantially enhance soil fertility and are widely recognized as one of the most extensively researched biological fertilizers. However, the effects of AMF on soil nutrient availability in mango orchards, along with the physiological processes regulating this availability under varying soil fertility conditions, remain poorly understood. To address this research gap, experiments were conducted with two soil types (soil from mango orchards co-cultivated with butterfly bean plants for five years and a control (no grass plants)) and two mycorrhizal inoculations (+AMF and –AMF). These experiments examined the physicochemical properties, microbial community composition, and metabolic profiles in mango orchard soils by integrating high-throughput sequencing with soil metabolomics. In nutrient-poor soils, the introduction of AMF enhanced the occurrence of specific bacterial species and elevated the richness and diversity of the soil bacterial community. This enhancement subsequently increased the activities of soil enzymes such as cellulase, β-glucosidase, chitinase, and nitrate reductase in rhizospheric soil, leading to improved soil pH, and increases in soil MBC, NH<sub>4</sub><sup>+</sup>-N, NO<sub>3</sub><sup>–</sup>-N, available potassium, and available phosphorus. Furthermore, alterations in soil properties and metabolites restructured the soil microbial community, with pH and microbial biomass carbon (MBC) emerging as the key factors shaping bacterial distribution within rhizospheric soil co-occurrence networks. In contrast, the effects of AMF on soil nutrient availability were weaker in high-fertility soils. We conclude that AMF enhance soil nutrient availability in mango orchards by regulating soil bacterial community structures, particularly in low-fertility soils.
DOI: 10.6084/m9.figshare.28388060.v1
title: data.xlsx

description: Arbuscular mycorrhizal fungi (AMF) substantially enhance soil fertility and are widely recognized as one of the most extensively researched biological fertilizers. However, the effects of AMF on soil nutrient availability in mango orchards, along with the physiological processes regulating this availability under varying soil fertility conditions, remain poorly understood. To address this research gap, experiments were conducted with two soil types (soil from mango orchards co-cultivated with butterfly bean plants for five years and a control (no grass plants)) and two mycorrhizal inoculations (+AMF and –AMF). These experiments examined the physicochemical properties, microbial community composition, and metabolic profiles in mango orchard soils by integrating high-throughput sequencing with soil metabolomics. In nutrient-poor soils, the introduction of AMF enhanced the occurrence of specific bacterial species and elevated the richness and diversity of the soil bacterial community. This enhancement subsequently increased the activities of soil enzymes such as cellulase, β-glucosidase, chitinase, and nitrate reductase in rhizospheric soil, leading to improved soil pH, and increases in soil MBC, NH<sub>4</sub><sup>+</sup>-N, NO<sub>3</sub><sup>–</sup>-N, available potassium, and available phosphorus. Furthermore, alterations in soil properties and metabolites restructured the soil microbial community, with pH and microbial biomass carbon (MBC) emerging as the key factors shaping bacterial distribution within rhizospheric soil co-occurrence networks. In contrast, the effects of AMF on soil nutrient availability were weaker in high-fertility soils. We conclude that AMF enhance soil nutrient availability in mango orchards by regulating soil bacterial community structures, particularly in low-fertility soils.
DOI: 10.1594/pangaea.971626
title: Satellite Color Images, Vegetation Indices, and Metabolism Indices from Langen, Germany from 1984 – 2023

description: The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document.The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications.In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description).Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.
DOI: 10.15468/dl.fgjmxk
title: Occurrence Download

description: A dataset containing 2078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Myocastor coypus (Molina, 1782)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2078 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003569-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg9tfs
title: Occurrence Download

description: A dataset containing 33961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.92001 3.66091,-73.75365 3.66091,-73.75365 3.83195,-73.92001 3.83195,-73.92001 3.66091))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33961 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048470-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggw4hr
title: Occurrence Download

description: A dataset containing 5478032 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branta canadensis (Linnaeus, 1758)"
 ]
}

 The dataset includes 5478032 records from 443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003569-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2y3xr
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaerobambos S.Dransf."
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049496-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhgr3h
title: Occurrence Download

description: A dataset containing 4439 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence data set of Non-Timber Forest Products species for medicinal purposes in Zimbabwe’s biodiversity hotspots"
 ]
}

 The dataset includes 4439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000349-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tkegp
title: Occurrence Download

description: A dataset containing 10030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "DatasetKey is Free-living marine Nematodes from San Julián bay (Santa Cruz, Argentine), 2009."
 ]
}

 The dataset includes 10030 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q32wce
title: Occurrence Download

description: A dataset containing 282699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2023-10-07",
 "EventDate is less than or equal to 2023-11-06",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 282699 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034936-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppdlp4
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Machaerium acutifolium var. enneandrum (Hoehne) Rudd"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9euet
title: Occurrence Download

description: A dataset containing 19929 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes aegypti occurrence"
 ]
}

 The dataset includes 19929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034934-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8y4ouz
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dulichium arundinaceum var. boreale Lepage"
 ]
}

 The dataset includes 17 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76hud6
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia amarissima Ortega"
 ]
}

 The dataset includes 755 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030099-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rlvz6f
title: Occurrence Download

description: A dataset containing 1082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruprechtia laxiflora Meisn."
 ]
}

 The dataset includes 1082 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp9z82
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registros de mamíferos del Valle de Aburrá asociados al estudio del análisis de la conectividad ecológica funcional y estructural en el Área Metropolitana del Valle de Aburrá"
 ]
}

 The dataset includes 342 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044824-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu92ak
title: Occurrence Download

description: A dataset containing 16922 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vallisneria P.Micheli ex L."
 ]
}

 The dataset includes 16922 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044830-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2l8m9i
title: Occurrence Download

description: A dataset containing 10784 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetodipus penicillatus (Woodhouse, 1852)"
 ]
}

 The dataset includes 10784 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx7cfs
title: Occurrence Download

description: A dataset containing 14607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cistus laurifolius L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14607 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037035-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aiaeoe
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callicarpa americana L.",
 "HasCoordinate is false"
 ]
}

 The dataset includes 627 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6s2sz
title: Occurrence Download

description: A dataset containing 696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Caracterización de Fauna para el plan de Etnodesarrollo de Bahía Cupica, Chocó"
 ]
}

 The dataset includes 696 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044872-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iymjoa
title: Occurrence Download

description: A dataset containing 411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reptilia",
 "DecimalLatitude is greater than 41.4570603803106",
 "DecimalLatitude is less than 42.2659012053011",
 "DecimalLongitude is greater than -70.4922436491563",
 "DecimalLongitude is less than -69.6831221507734"
 ]
}

 The dataset includes 411 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b62fzb
title: Occurrence Download

description: A dataset containing 3782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Estudios bióticos (Plantas, Fauna Edáfica, Anfibios y Aves) en el Complejo de Páramos Perijá"
 ]
}

 The dataset includes 3782 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044891-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fobua
title: Occurrence Download

description: A dataset containing 7516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sula dactylatra Lesson, 1831",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7516 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1ensvo
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Creaseriella anops (Creaser, 1936)"
 ]
}

 The dataset includes 54 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4excmg
title: Occurrence Download

description: A dataset containing 183847 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museum of Texas Tech University Invertebrate Zoology Collection"
 ]
}

 The dataset includes 183847 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034941-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kw46q7
title: Occurrence Download

description: A dataset containing 691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mustela putorius furo Linnaeus, 1758"
 ]
}

 The dataset includes 691 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034938-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15169279
title: Rotated kestrel data
DOI: 10.5281/zenodo.15169280
title: Rotated kestrel data
DOI: 10.6084/m9.figshare.27653524
title: Different continuous freshwater contributions to submarine groundwater discharge at a coastal peatland, southern Baltic Sea

description: The impact of freshwater sources like surface river runoff and submarine groundwater discharge (SGD) on coastal waters is currently in focus of intense debate and investigation. One of the ongoing challenges in SGD research is the characterization and quantification of the freshwater endmember contributions to the subsurface mixing zone and their influences on element balance and biogeochemical transformations. Long-term investigations of the sediment porewater composition provide characterization and understanding of the physical, hydrological and biogeochemical processes controlling the substance exchanges. In this study, we focus on the hydrochemical and stable isotope (<i>δ</i><sup>2</sup>H, <i>δ</i><sup>18</sup>O) compositions of sediment porewaters along the coastline of a southern Baltic Sea peatland. Coastal surface water and groundwater dynamics were monitored at two coastal sites using 5-m-long stationary lances over a 5-year period. The vertical compositional gradients were used to extrapolate to zero-salinity (ZS) components applying a binary mixing model on the salinity and water isotope composition. The results characterize a subterranean estuary (STE) with three potential mixing endmembers: two fresh groundwaters and the brackish Baltic Sea. Tritium–helium (<sup>3</sup>H–<sup>3</sup>He) porewater dating gave ages of more than about 20 years for the freshwater components. The ZS components were compared with other SGD sites along the southern Baltic Sea and North Sea and highlight the importance of local SGD studies for a proper groundwater endmember characterization as basis to understand hydrological and biogeochemical developments at the land–ocean continuum in times of current climate change.
DOI: 10.6084/m9.figshare.27653524.v1
title: Different continuous freshwater contributions to submarine groundwater discharge at a coastal peatland, southern Baltic Sea

description: The impact of freshwater sources like surface river runoff and submarine groundwater discharge (SGD) on coastal waters is currently in focus of intense debate and investigation. One of the ongoing challenges in SGD research is the characterization and quantification of the freshwater endmember contributions to the subsurface mixing zone and their influences on element balance and biogeochemical transformations. Long-term investigations of the sediment porewater composition provide characterization and understanding of the physical, hydrological and biogeochemical processes controlling the substance exchanges. In this study, we focus on the hydrochemical and stable isotope (<i>δ</i><sup>2</sup>H, <i>δ</i><sup>18</sup>O) compositions of sediment porewaters along the coastline of a southern Baltic Sea peatland. Coastal surface water and groundwater dynamics were monitored at two coastal sites using 5-m-long stationary lances over a 5-year period. The vertical compositional gradients were used to extrapolate to zero-salinity (ZS) components applying a binary mixing model on the salinity and water isotope composition. The results characterize a subterranean estuary (STE) with three potential mixing endmembers: two fresh groundwaters and the brackish Baltic Sea. Tritium–helium (<sup>3</sup>H–<sup>3</sup>He) porewater dating gave ages of more than about 20 years for the freshwater components. The ZS components were compared with other SGD sites along the southern Baltic Sea and North Sea and highlight the importance of local SGD studies for a proper groundwater endmember characterization as basis to understand hydrological and biogeochemical developments at the land–ocean continuum in times of current climate change.