cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tnyy9w
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.29096 -39.00525,-25.09321 -39.00525,-25.09321 17.40358,-88.29096 17.40358,-88.29096 -39.00525))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cichla monoculus Agassiz, 1831"
 ]
}

 The dataset includes 441 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044608-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f74pbj
title: Occurrence Download

description: A dataset containing 292155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Observation.org, Nature data from around the World, Royal Botanic Gardens, Kew - Herbarium Specimens)",
 "Country is one of (Brazil)",
 "Repatriated is true"
 ]
}

 The dataset includes 292155 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044591-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm7yvu
title: Occurrence Download

description: A dataset containing 292155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Observation.org, Nature data from around the World, Royal Botanic Gardens, Kew - Herbarium Specimens)",
 "Country is one of (Brazil)",
 "Repatriated is true"
 ]
}

 The dataset includes 292155 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044592-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26931961
title: 20240903 Hamm & Gray ppk relA spoT supplementation growth curves

description: Effect of media supplements on growth of ppk relA spoT mutants. Escherichia coli strains MG1655, MJG0224 (MG1655 ∆ppk-749), MJG1287 (MG1655 ∆relA782 ∆spoT1000::kan+), and MJG1282 (MG1655 ∆ppk-749 ∆relA782 ∆spoT1000::kan+) were grown overnight at 37C with shaking in Lysogeny Broth (LB), then normalized to A600 = 1 and rinsed three times with sterile PBS. The resulting cell suspensions were diluted 1:40 into LB or M9 minimal medium containing 0.4% glucose and 100 µM FeCl3 with or without supplementation with 0.1% or 1% (w/v) of yeast synthetic dropout mix supplement (Sigma Aldrich cat. #Y1501), casamino acids (Fisher Scientific cat. #BP1424), tryptone (Fisher Scientific cat. #BP1421), or yeast extract (Becton Dickinson cat. #288620). Growth curves were performed in clear 96-well plates in a Tecan Spark plate reader, incubating at 37C with shaking and measuring A600 at 30-minute intervals for 24 hours (n=3-6 experimental replicates, with 3-12 technical replicates per experiment).
DOI: 10.15468/dl.6cfes8
title: Occurrence Download

description: A dataset containing 51475 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Portuguese Lepidoptera records compiled by Martin Corley's database"
 ]
}

 The dataset includes 51475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044609-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26931952
title: 20240903 Hamm & Gray spot plate images

description: E. coli strains MG1655, MJG0224 (MG1655 ∆ppk-749), MJG0226 (MG1655 ∆relA782), MJG0344 (MG1655 ∆rpoS746), MJG1116 (MG1655 ∆ppk-749 ∆relA782), MJG1119 (MG1655 ∆ppk-749 ∆rpoS746), MJG1136 (MG1655 ∆relA782 spoT207::cat+), MJG1137 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+), MJG1205 (MG1655 rpoB3449), MJG1234 (MG1655 ∆ppk-749 rpoB3449), MJG1235 (MG1655 ∆relA782 rpoB3449), MJG1236 (MG1655 ∆ppk-749 ∆relA782 rpoB3449), MJG1237 (MG1655 ∆relA782 spoT207::cat+ rpoB3449), MJG1241 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ rpoB3449), MJG1605 (MG1655 ∆relA782 spoT207::cat+ / pUC18 (bla+)), MJG1606 (MG1655 ∆relA782 spoT207::cat+ / pSPOT1 (spoT+, bla+)), MJG1608 (MG1655 ∆relA782 spoT207::cat+ / pSPOT3 (spoT D259N, bla+)), MJG1613 (MG1655 ∆relA782 spoT207::cat+ / pSPOT4 (spoT D73N D259N, bla+)), MJG1306 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pUC18 (bla+)), MJG1307 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pPPK8 (ppk+ bla+)), MJG1308 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT1 (spoT+ bla+)), MJG1609 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT2 (spoT D73N bla+)), MJG1610 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT3 (spoT D259N bla+)), or MJG1614 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT4 (spoT D73N D259N bla+)) were grown overnight at 37C with shaking in LB broth, then rinsed twice with PBS and normalized to A600 = 1.5-µl spots of 10-fold serial dilutions were plated on LB agar and on M9 agar containing 0.4% (w/v) glucose with or without 0.05% casamino acids (Fisher Scientific cat. #BP1424), 1% tryptone (Fisher Scientific cat. #BP1421), or 0.5% yeast extract (Becton Dickinson cat. #288620). Plates were incubated overnight at 30 or 37C, as indicated.
DOI: 10.6084/m9.figshare.26931952.v1
title: 20240903 Hamm & Gray spot plate images

description: E. coli strains MG1655, MJG0224 (MG1655 ∆ppk-749), MJG0226 (MG1655 ∆relA782), MJG0344 (MG1655 ∆rpoS746), MJG1116 (MG1655 ∆ppk-749 ∆relA782), MJG1119 (MG1655 ∆ppk-749 ∆rpoS746), MJG1136 (MG1655 ∆relA782 spoT207::cat+), MJG1137 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+), MJG1205 (MG1655 rpoB3449), MJG1234 (MG1655 ∆ppk-749 rpoB3449), MJG1235 (MG1655 ∆relA782 rpoB3449), MJG1236 (MG1655 ∆ppk-749 ∆relA782 rpoB3449), MJG1237 (MG1655 ∆relA782 spoT207::cat+ rpoB3449), MJG1241 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ rpoB3449), MJG1605 (MG1655 ∆relA782 spoT207::cat+ / pUC18 (bla+)), MJG1606 (MG1655 ∆relA782 spoT207::cat+ / pSPOT1 (spoT+, bla+)), MJG1608 (MG1655 ∆relA782 spoT207::cat+ / pSPOT3 (spoT D259N, bla+)), MJG1613 (MG1655 ∆relA782 spoT207::cat+ / pSPOT4 (spoT D73N D259N, bla+)), MJG1306 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pUC18 (bla+)), MJG1307 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pPPK8 (ppk+ bla+)), MJG1308 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT1 (spoT+ bla+)), MJG1609 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT2 (spoT D73N bla+)), MJG1610 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT3 (spoT D259N bla+)), or MJG1614 (MG1655 ∆ppk-749 ∆relA782 spoT207::cat+ / pSPOT4 (spoT D73N D259N bla+)) were grown overnight at 37C with shaking in LB broth, then rinsed twice with PBS and normalized to A600 = 1.5-µl spots of 10-fold serial dilutions were plated on LB agar and on M9 agar containing 0.4% (w/v) glucose with or without 0.05% casamino acids (Fisher Scientific cat. #BP1424), 1% tryptone (Fisher Scientific cat. #BP1421), or 0.5% yeast extract (Becton Dickinson cat. #288620). Plates were incubated overnight at 30 or 37C, as indicated.
DOI: 10.15468/dl.5p8wym
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 659 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044610-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/a8170b4f30fec183592ea7868d7bc1d4
title: Size-fractionated chlorophyll from water column bottle samples collected during NES-LTER Transect cruises, ongoing since 2017.

description: Size-fractionated chlorophyll a and phaeopigments are measured from discrete bottle samples collected during CTD-rosette casts on Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises (ongoing since 2017), as a proxy for phytoplankton biomass. Sampling frequency is approximately seasonal. Samples were processed by three lab groups using different methods. Size fractions in addition to whole seawater (&gt;0.7 micron) include &gt;5 , &lt;10, &gt;10, and &gt;20 microns with some samples pre-filtered &lt;200 microns. Pigments were analyzed using fluorometers in which fluorescence was measured versus a blank and a standard, and final concentrations were calculated in micrograms per liter (or mg per cubic meter). Some of the data are from cruises in collaboration with the Ocean Observatories Initiative (OOI).
DOI: 10.6073/pasta/a7339395dd62b8193379b1b44803ba55
title: RustMapper: White Pine Blister Rust Risk in the Western United States

description: White pine blister rust (WPBR) is a highly destructive disease threatening high-elevation five-needle white pines across North America. To better understand risk patterns, we analyzed data from independent studies conducted across the western U.S. between 1995 and 2020. Using this data, we assessed WPBR risk for high-elevation five-needle pine species (High-5) from 1980 to 2023, integrating the results into the adaptive management tool "RustMapper." These projections estimate the annual probability of WPBR occurrence, providing valuable insights for monitoring and management.
DOI: 10.6084/m9.figshare.28074479
title: <b>Salty secrets of </b><b><i>Halobacterium salinarum AD88</i></b><b>: a new archaeal ecotype isolated from Cuatro Cienegas Basin.</b>

description: Raw reads from Halobacterium salinatum strain AD88
DOI: 10.15468/dl.53kbr4
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-86.4322 -35.55544,-25.09321 -35.55544,-25.09321 14.42477,-86.4322 14.42477,-86.4322 -35.55544))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cichla piquiti Kullander & Ferreira, 2006"
 ]
}

 The dataset includes 101 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044611-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/95dde1f0c5bb3da0cac9bc47be2526b0
title: Size-fractionated net primary productivity (NPP) estimates based on 13C uptake during cruises along the Northeast U.S. Shelf Long Term Ecological Research (NES-LTER) Transect, ongoing since 2019

description: This dataset consists of primary production measurements based on uptake of carbon-13 added as 13C-bicarbonate during 24-h deckboard incubations of seawater. Sampling occurred on cruises along the Northeast U.S. Shelf Long Term Ecological Research (NES-LTER) Transect during summer, fall, and winter, starting in summer 2019. Net primary production (NPP) was determined from particulate organic carbon (POC) content and associated stable isotope enrichment. Three data tables are included: 1. Depth-specific primary productivity based on fractional light levels of the surface irradiance with reference to the profile of photosynthetically active radiation (PAR). 2. Integrated primary productivity. 3. Natural abundance POC. The tables derive from the raw data included as other entities.
DOI: 10.15468/dl.tg6b7y
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-85.81262 -38.03578,-25.09321 -38.03578,-25.09321 15.62155,-85.81262 15.62155,-85.81262 -38.03578))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clarias gariepinus (Burchell, 1822)"
 ]
}

 The dataset includes 59 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044613-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14537881
title: Maternal Health and High-Risk Pregnancy Dataset.

description: This dataset provides a comprehensive collection of maternal health data, focusing on key health indicators throughout pregnancy. It includes essential details such as the mother’s age, gravida (number of pregnancies), weight, height, blood pressure, gestational age, and fetal health status. In addition to these primary metrics, the dataset captures important medical test results, including anemia, blood sugar levels, and fetal heart rate, providing a thorough overview of both maternal and fetal well-being. The dataset categorizes pregnancies into high-risk and non-high-risk based on various factors such as abnormal blood pressure readings, test results, and fetal health conditions. This classification can be vital for prenatal care and early risk detection, facilitating interventions for at-risk pregnancies. Collected manually from healthcare records, the dataset ensures data accuracy and reliability. Each entry has been anonymized to protect patient privacy and guarantee ethical standards. This dataset serves as an invaluable resource for research in maternal health, predictive analytics, and pregnancy outcome studies. It can be used for developing models to assess pregnancy risks, guide healthcare interventions, and improve prenatal care strategies globally. Researchers, healthcare professionals, and data scientists can leverage this dataset to gain deeper insights into pregnancy-related health trends and explore potential factors influencing maternal and fetal health outcomes.
DOI: 10.5281/zenodo.14537882
title: Maternal Health and High-Risk Pregnancy Dataset.

description: This dataset provides a comprehensive collection of maternal health data, focusing on key health indicators throughout pregnancy. It includes essential details such as the mother’s age, gravida (number of pregnancies), weight, height, blood pressure, gestational age, and fetal health status. In addition to these primary metrics, the dataset captures important medical test results, including anemia, blood sugar levels, and fetal heart rate, providing a thorough overview of both maternal and fetal well-being. The dataset categorizes pregnancies into high-risk and non-high-risk based on various factors such as abnormal blood pressure readings, test results, and fetal health conditions. This classification can be vital for prenatal care and early risk detection, facilitating interventions for at-risk pregnancies. Collected manually from healthcare records, the dataset ensures data accuracy and reliability. Each entry has been anonymized to protect patient privacy and guarantee ethical standards. This dataset serves as an invaluable resource for research in maternal health, predictive analytics, and pregnancy outcome studies. It can be used for developing models to assess pregnancy risks, guide healthcare interventions, and improve prenatal care strategies globally. Researchers, healthcare professionals, and data scientists can leverage this dataset to gain deeper insights into pregnancy-related health trends and explore potential factors influencing maternal and fetal health outcomes.
DOI: 10.25934/pr00010091
title: Establishing a risk score for Skeletal Related Events (SRE) in patients with cancer

description: Skeletal-related events (SREs), such as fractures, spinal cord compression, and severe bone pain, have serious implications for cancer patients, significantly reducing their quality of life and complicating treatment. These events can lead to hospitalization, loss of mobility, and increased need for medical interventions, impacting both the patient's physical and emotional well-being. Given the severe consequences of SREs, it's crucial to identify which patients are at higher risk to ensure early intervention and targeted treatment strategies.

Key serum-based markers found in the blood, like calcium and alkaline phosphatase (ALP, it is a protein in the blood and high levels can suggest a bone disorder), are valuable for predicting the risk of skeletal-related events in cancer patients. These markers provide insights into bone metabolism and can help identify individuals at risk for bone complications, such as those with bone metastases (where the cancer has spread to the bones) or other conditions affecting bone integrity. Despite the potential of these biomarkers, there's a lack of clear guidelines on when to use treatments like bisphosphonates (a class of drugs that can help to strengthen bones and reduce the risk of bone fractures) or denosumab (a specific drug that helps to strengthen the bones and prevent fractures for some types of cancer) that can help to strengthen bones and reduce the risk of bones breaking based on blood serum levels. A well-constructed risk score could help bridge this gap by providing a data-driven approach to identify high-risk patients and inform treatment decisions, ultimately leading to improved patient outcomes and more effective cancer care.

We are requesting access to clinical trial data to establish a risk score for predicting skeletal-related events (SRE) in cancer patients, with a particular focus on serum-based laboratory biomarkers. The goal is to identify blood-based indicators that correlate with bone complications like fractures and severe pain, which can significantly impact patient quality of life. By analyzing data from clinical trials, we aim to discover serum biomarkers that are predictive of these events. This information will enable us to develop a risk score that can help clinicians detect high-risk patients early, adjust treatments to minimize bone-related issues, and ultimately enhance patient outcomes. Many serum-based laboratory markers, including calcium and alkaline phosphatase, are known to correlate with bone metastases and SRE. The aim of this project is the development of a cost-effective, easy-to-implement tool for clinical practice.
DOI: 10.15468/dl.kmvvkb
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-77.98885 -40.88175,78.98885 -40.88175,78.98885 21.88175,-77.98885 21.88175,-77.98885 -40.88175))",
 "Geometry POLYGON((-86.1603 -32.70737,-23.79929 -32.70737,-23.79929 12.98212,-86.1603 12.98212,-86.1603 -32.70737))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cloeon smaeleni Lestage, 1924"
 ]
}

 The dataset includes 95 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044614-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxywd4
title: Occurrence Download

description: A dataset containing 10671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thinocorus orbignyianus I.Geoffroy Saint-Hilaire & R.Lesson, 1831"
 ]
}

 The dataset includes 10671 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044615-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzqq9t
title: Occurrence Download

description: A dataset containing 1428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.29096 -39.48511,-26.95198 -39.48511,-26.95198 15.62155,-88.29096 15.62155,-88.29096 -39.48511))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Colossoma macropomum (Cuvier, 1816)"
 ]
}

 The dataset includes 1428 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044617-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bm3nf
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Boccardia proboscidea Hartman, 1940, Boccardia ligerica Ferronnière, 1898, Polydora ligerica (Ferronnière, 1898))"
 ]
}

 The dataset includes 551 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044620-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8zkmj
title: Occurrence Download

description: A dataset containing 3271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Muscisaxicola frontalis (Burmeister, 1860)"
 ]
}

 The dataset includes 3271 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044619-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b46nka
title: Occurrence Download

description: A dataset containing 3487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anairetes reguloides (Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 3487 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044621-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44nsyn
title: Occurrence Download

description: A dataset containing 105020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Egretta caerulea (Linnaeus, 1758)"
 ]
}

 The dataset includes 105020 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044616-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10078931
title: Data Product for "Toward a Cenozoic history of atmospheric CO2"

description: These data were vetted and revised from published paleo-CO2 data (original estimates archived at https://zenodo.org/uploads/8052599) by an international group of proxy experts supported through an NSF-funded Research Coordination Network. It brings together paleo-CO2 reconstruction data from terrestrial and marine archives, and the compilation includes estimates derived from multiple proxies including Phytoplankton, Boron, Stomatal Frequencies, Leaf Gas Exchange, Liverworts, Land Plant d13C, Paleosols, and Nahcolite. Data are visualized in an interactive product plot made available on the Paleo-CO2 project web page at (https://www.paleo-co2.org) and are also archived in the NCDC database (https://www.ncei.noaa.gov/pub/data/paleo/climate_forcing/trace_gases/Paleo-pCO2/product_files/). 
description: The geological record encodes the relationship between climate and atmospheric carbon dioxide (CO2) over long and short timescales, as well as potential drivers of evolutionary transitions. However, reconstructing CO2 beyond direct measurements requires the use of paleo-proxies and herein lies the challenge, as proxies differ in their assumptions, degree of understanding, and even reconstructed values. Here we critically evaluate, categorize, and integrate available proxies to create a high-fidelity and transparently constructed atmospheric CO2 record spanning the past 66 million years. This provides clearer evidence for higher Earth System Sensitivity in the past and for the role of CO2 thresholds in biological and cryosphere evolution.