cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dea.mims.07342023
title: Raw sun exposed temperature data from Sea Point, 28 September to 27 October 2022

description: Conservation Physiology Programme
description: To better understand the physiological effects of marine invertebrates to changing environmental conditions, long-term monitoring which captures the natural variability of environmental parameters is required. In this way, experimental findings can be related back to field conditions, and better predictions can be made as to how marine invertebrates, particularly in the harsh intertidal, will fair with rising temperature. In May 2020, Cape Sea Urchins, Parechinus angulosus, were collected from intertidal rock pools at Sea Point, which is situated along the southwest coast of South Africa. After chronic incubation in low pH conditions at The Department of Forestry, Fisheries and the Environment's (DFFE) Sea Point Research Aquarium, their response to thermal stress was investigated in recent experimental trials. To calculate the thermal window for these marine invertebrates, both habitat temperatures, as well as their threshold temperatures are required. The latter was obtained by examining the Critical Thermal Maximum temperatures (CTmax), i.e. the temperatures at which organisms respond with uncoordinated mobility, whereas habitat temperatures are available through the deployment of temperature loggers in the intertidal pools inhabited by these organisms. Apart from rockpool temperatures recorded in Sea Point, Cape Town, a HOBO TidbiT temperature logger was also installed on a nearby structure: 33.92074 S, 18.38051 E to record temperature in a sun-exposed position. An alternative to placement on fully exposed rocks where it would be subjected to theft. This data will allow for an indication of the most extreme temperatures in the vicinity of the pool. Here we present the raw temperature measurements from 28 September to 27 October 2022.
description: The details of the logger placement is captured in the 'README' file. The logger was set to record temperature every 5 minutes. Data were extracted from the logger using HOBOware Pro software and exported into Excel files. Times are GMT+2. The data available are the raw files (all temperatures recorded before placement and removal in its current position).
DOI: 10.15493/dea.mims.07302023
title: Sun exposed temperature data from Sea Point, 01 to 31 August 2022

description: Conservation Physiology Programme
description: To better understand the physiological effects of marine invertebrates to changing environmental conditions, long-term monitoring which captures the natural variability of environmental parameters is required. In this way, experimental findings can be related back to field conditions, and better predictions can be made as to how marine invertebrates, particularly in the harsh intertidal, will fair with rising temperature. In May 2020, Cape Sea Urchins, Parechinus angulosus, were collected from intertidal rock pools at Sea Point, which is situated along the southwest coast of South Africa. After chronic incubation in low pH conditions at the Department of Forestry, Fisheries and the Environment's (DFFE) Sea Point Research Aquarium, their response to thermal stress was investigated in recent experimental trials. To calculate the thermal window for these marine invertebrates, both habitat temperatures, as well as their threshold temperatures are required. The latter was obtained by examining the Critical Thermal Maximum temperatures (CTmax), i.e. the temperatures at which organisms respond with uncoordinated mobility, whereas habitat temperatures are available through the deployment of temperature loggers in the intertidal pools inhabited by these organisms. Apart from rockpool temperatures recorded in Sea Point, Cape Town, a HOBO TidbiT temperature logger was also installed on a nearby structure: 33.92074 S, 18.38051 E to record temperature in a sun-exposed position. An alternative to placement on fully exposed rocks where it would be subjected to theft.This data will allow for an indication of the most extreme temperatures in the vicinity of the pool. Here we present the cleaned up version of the temperature measurements from the 01 to 31 August 2022.
description: The details of the logger placement is captured in the 'README' file. The logger was set to record temperature every 5 minutes. Data were extracted from the logger using HOBOware Pro software and exported into Excel files. Times are GMT+2. The data available are the clean files (i.e. only temperatures recorded once logger was placed in its sun-exposed postion. To avoid the inclusion of any 'handling' temperatures in the clean datasets, the temperatures extracted are from ten minutes once loggers are deployed, and 10 minutes before they are removed to download data.
DOI: 10.15493/dea.mims.07122023
title: Raw sun exposed temperature data from Sea Point, 18 March to 21 April 2022

description: Conservation Physiology Programme
description: To better understand the physiological effects of marine invertebrates to changing environmental conditions, long-term monitoring which captures the natural variability of environmental parameters is required. In this way, experimental findings can be related back to field conditions, and better predictions can be made as to how marine invertebrates, particularly in the harsh intertidal, will fair with rising temperature. In May 2020, Cape Sea Urchins, Parechinus angulosus, were collected from intertidal rock pools at Sea Point, which is situated along the southwest coast of South Africa. After chronic incubation in low pH conditions at the Department of Forestry, Fisheries and the Environment's (DFFE) Sea Point Research Aquarium, their response to thermal stress was investigated in recent experimental trials. To calculate the thermal window for these marine invertebrates, both habitat temperatures, as well as their threshold temperatures are required. The latter was obtained by examining the Critical Thermal Maximum temperatures (CTmax), i.e. the temperatures at which organisms respond with uncoordinated mobility, whereas habitat temperatures are available through the deployment of temperature loggers in the intertidal pools inhabited by these organisms. Apart from rockpool temperatures recorded in Sea Point, Cape Town, a HOBO TidbiT temperature logger was also installed on a nearby structure: 33.92074 S, 18.38051 E to record temperature in a sun-exposed position. An alternative to placement on fully exposed rocks where it would be subjected to theft.This data will allow for an indication of the most extreme temperatures in the vicinity of the pool. Here we present the raw temperature measurements from 18 March to 21 April 2022.
description: The details of the logger placement is captured in the 'README' file. The logger was set to record temperature every 5 minutes. Data were extracted from the logger using HOBOware Pro software and exported into Excel files. Times are GMT+2. The data available are the raw files (all temperatures recorded before placement and removal in its current position).
DOI: 10.15493/dea.mims.26052359
title: Raw sun exposed temperature data from Sea Point, South Africa, 28 September to 12 November 2020

description: Raw temperature measurements.
description: To better understand the physiological effects of marine invertebrates to changing environmental conditions, long-term monitoring which captures the natural variability of environmental parameters is required. In this way, experimental findings can be related back to field conditions, and better predictions can be made as to how marine invertebrates, particularly in the harsh intertidal, will fair with rising temperature. In May 2020, Cape Sea Urchins, Parechinus angulosus, were collected from intertidal rock pools at Sea Point, which is situated along the southwest coast of South Africa. After chronic incubation in low pH conditions at the Department of Environment, Forestry and Fisheries' (DEFF) Sea Point Research Aquarium, their response to thermal stress was investigated in recent experimental trials. To calculate the thermal window for these marine invertebrates, both habitat temperatures, as well as their threshold temperatures are required. The latter was obtained by examining the Critical Thermal Maximum temperatures (CTmax), i.e. the temperatures at which organisms respond with uncoordinated mobility, whereas habitat temperatures are available through the deployment of temperature loggers in the intertidal pools inhabited by these organisms.Apart from rockpool temperatures recorded in Sea Point, Cape Town, a HOBO TidbiT temperature logger was also installed on a nearby structure: 33.92074 S, 18.38051 E to record temperature in a sun-exposed position. An alternative to placement on fully exposed rocks where it would be subjected to theft.This data will allow for an indication of the most extreme temperatures in the vicinity of the pool. Here we present the raw temperature measurements from 28 September to 12 November 2020.
description: The details of the logger placement is captured in the "README" file. The logger was set to record temperature every 5 minutes. Data were extracted from the logger using HOBOware Pro software and exported into Excel files. Times are GMT+2. The data available are the raw files (all temperatures recorded before placement and removal in its current position).
DOI: 10.15493/dea.mims.07242023
title: Raw sun exposed temperature data from Sea Point, 30 June to 01 August 2022

description: Conservation Physiology Programme
description: To better understand the physiological effects of marine invertebrates to changing environmental conditions, long-term monitoring which captures the natural variability of environmental parameters is required. In this way, experimental findings can be related back to field conditions, and better predictions can be made as to how marine invertebrates, particularly in the harsh intertidal, will fair with rising temperature. In May 2020, Cape Sea Urchins, Parechinus angulosus, were collected from intertidal rock pools at Sea Point, which is situated along the southwest coast of South Africa. After chronic incubation in low pH conditions at the Department of Forestry, Fisheries and the Environment's (DFFE) Sea Point Research Aquarium, their response to thermal stress was investigated in recent experimental trials. To calculate the thermal window for these marine invertebrates, both habitat temperatures, as well as their threshold temperatures are required. The latter was obtained by examining the Critical Thermal Maximum temperatures (CTmax), i.e. the temperatures at which organisms respond with uncoordinated mobility, whereas habitat temperatures are available through the deployment of temperature loggers in the intertidal pools inhabited by these organisms. Apart from rockpool temperatures recorded in Sea Point, Cape Town, a HOBO TidbiT temperature logger was also installed on a nearby structure: 33.92074 S, 18.38051 E to record temperature in a sun-exposed position. An alternative to placement on fully exposed rocks where it would be subjected to theft.This data will allow for an indication of the most extreme temperatures in the vicinity of the pool. Here we present the raw temperature measurements from 30 June to 01 August 2022.
description: The details of the logger placement is captured in the 'README' file. The logger was set to record temperature every 5 minutes. Data were extracted from the logger using HOBOware Pro software and exported into Excel files. Times are GMT+2. The data available are the raw files (all temperatures recorded before placement and removal in its current position).
DOI: 10.6084/m9.figshare.29457890.v1
title: DESeq2_padj_results_ALL.csv.zip

description: Processed mRNA counts into time-series summaries for gene expression prediction. See: https://github.com/neggor/Evaluating-predictive-modeling-of-transcriptional-stress-responses
DOI: 10.15468/dl.9hkfhg
title: Occurrence Download

description: A dataset containing 264042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is iNaturalist Research-grade Observations",
 "PublishingCountry is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Lepidoptera",
 "Year 2011-2024"
 ]
}

 The dataset includes 264042 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017672-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17532653
title: Swedigarch AGES index

description: The AGES_index GeoPackage contains a point layer with information about all excavation databases maintained in the AGES (Archaeological Geodata from Excavations) database of Swedigarch, the Swedish National Infrastructure for Digital Archaeology. The full documentation of the excavation can be downloaded from the link "link_geodata".

Currently, AGES has data from the organisations Stiftelsen Upplandsmuseet, Kulturmiljö Halland/Stiftelsen Hallands länsmuseer, Stiftelsen Societas Archaeologica Upsaliensis (SAU), Norrbottens museum,  Stiftelsen Kulturmiljö Mälardalen, Stiftelsen Länsmuseét i Gävleborgs län, Stiftelsen Östergötlands länsmuseum and from the Swedish National Heritage Board excavation unit (RAÄ UV). AGES_index will be updated as new data is added to the database.

More information: https://swedigarch.se/index.php/swedigarch/resources/ages/
DOI: 10.15468/dl.2wpff9
title: Occurrence Download

description: A dataset containing 367676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Switzerland, France, Germany, Belgium, Denmark, Portugal, Spain, Montenegro, Netherlands, Ireland, Italy, Andorra, Monaco)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is Aglais urticae",
 "Year 2000-2025"
 ]
}

 The dataset includes 367676 records from 705 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017663-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5bntx
title: Occurrence Download

description: A dataset containing 1104307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus monogyna",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1104307 records from 3965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017659-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27e5ex
title: Occurrence Download

description: A dataset containing 5964 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Butea monosperma"
 ]
}

 The dataset includes 5964 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009488-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqmnh7
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pulmonaria obscura",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009489-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cz6rz
title: Occurrence Download

description: A dataset containing 16324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moringa oleifera"
 ]
}

 The dataset includes 16324 records from 379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009487-251009101135966/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.31055479
title: 5. Sequences for phylogenetic trees of nosZ

description: Sequences for phylogenetic trees of nosZ. These data were used to construct phylogenetic trees of MAGs harboring the <i>nosZ</i> gene from both the Plastisphere and Epiphyton, in order to analyze the impact of temperature elevation.
DOI: 10.6084/m9.figshare.31055479.v1
title: 5. Sequences for phylogenetic trees of nosZ

description: Sequences for phylogenetic trees of nosZ. These data were used to construct phylogenetic trees of MAGs harboring the <i>nosZ</i> gene from both the Plastisphere and Epiphyton, in order to analyze the impact of temperature elevation.
DOI: 10.15156/bio/sh1381556.10fu
title: SH1381556.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1381557.10fu
title: SH1381557.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1381562.10fu
title: SH1381562.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1381572.10fu
title: SH1381572.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.12557292
title: Dataset: Guru Favorite Stocks ETF (GFGF) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12557293
title: Dataset: Guru Favorite Stocks ETF (GFGF) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12557294
title: Dataset: GLOBALFOUNDRIES Inc. (GFS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12557295
title: Dataset: GLOBALFOUNDRIES Inc. (GFS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12557298
title: Dataset: Grupo Financiero Galicia S.A. (GGAL) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12557299
title: Dataset: Grupo Financiero Galicia S.A. (GGAL) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.