cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3qg4zr
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guizotia abyssinica",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 259 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019385-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1561
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Gyimes, Romania

description: Qualitative dataset of the Site 'Gyimes' collected by Daniel Babai in Romania. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.gvhcnv
title: Occurrence Download

description: A dataset containing 1457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (New Mexico State Collection of Arthropods, Mississippi Entomological Museum, Royal Saskatchewan Museum - Entomology, UCM Entomology Collection, Recent Invertebrates Specimens, North Carolina State University Insect Collection, Entomology Collection at the Natural History Museum of Utah, BugGuide - Identification, Images, & Information For Insects, Spiders & Their Kin For the United States & Canada, Illinois Natural History Survey Insect Collection)",
 "TaxonKey is Boisea trivittata"
 ]
}

 The dataset includes 1457 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019386-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/ey8bwo
title: The effects of short-term consumption of a Western diet on aerobic exercise performance in bank voles with inherently distinct metabolic rates (WDAE experiment) - replication data

description: The dataset includes: - An Excel file with raw data obtained as a result of completing one of the tasks of the NCN-financed project UMO 2019/35/B/NZ4/03828 “Experimental evolution of the thrifty and spendthrift genotypes, and its consequence for susceptibility to adverse effects of “Western diet”: insights from a selection experiment on bank voles” (PI: granted to Paweł Koteja); SAS text code file with an example code used for statistical analyses of the data; an Excel file with the supplementary tables associated with the paper based on the results; the WDAE_README.txt file with general metadata information about these files.
DOI: 10.18419/darus-5386/1
title: temperature_evolution_gaussian_beam.mp4
DOI: 10.18419/darus-5386
title: Simulation Results for Versatile Absorption Modeling for Transmissive Optical Elements Using Ray Tracing and Finite Element Analysis

description: &lt;p&gt;Emerging quality requirements in modern optical systems increase the need for
accurate simulation and compensation of disturbances. One key disturbance in
high-power laser applications results from thermal loading due to absorption.
The related paper presents a flexible modeling approach for absorption based on ray
tracing, where point heat sources are defined along ray paths. In addition, several
methods for mapping these point heat sources along the ray path to the finite
element mesh are introduced and compared. A major advantage of the proposed
approach lies in its flexibility, as it enables the simulation of transient phenomena
such as dynamic beam positioning and time-dependent variations in beam shape.&lt;/p&gt;

The presented video shows the time-dependent temperature evolution on the front surface of the investigated lens which is transmitted by a Gaussian laser beam moving along a circular trajectory.
DOI: 10.5281/zenodo.17208538
title: Dataset for: AISysRev - LLM-based Tool for Title-abstract Screening
DOI: 10.5281/zenodo.17208539
title: Dataset for: AISysRev - LLM-based Tool for Title-abstract Screening
DOI: 10.3886/e225841
title: Data and Code for: Do Credit Conditions Move House Prices?

description: Abstract: Did credit drive the 2000s housing cycle? The existing literature's findings range from credit having no effect to credit explaining most of the cycle. We show that these disparate results hinge on the extent to which landlords absorb credit-driven demand, which depends on the degree of housing market segmentation. We develop a model that nests cases between the extremes of no segmentation and perfect segmentation typically considered, estimate an elasticity that pins down the degree of segmentation, and use it to calibrate our model. We find that credit standards played an important role, explaining 32% to 53% of the boom.
description: Core-Based Statistical Areas in the United States. Smallest Geographic Unit: US Core-Based Statistical Area
DOI: 10.3886/e225841v1
title: Data and Code for: Do Credit Conditions Move House Prices?

description: Abstract: Did credit drive the 2000s housing cycle? The existing literature's findings range from credit having no effect to credit explaining most of the cycle. We show that these disparate results hinge on the extent to which landlords absorb credit-driven demand, which depends on the degree of housing market segmentation. We develop a model that nests cases between the extremes of no segmentation and perfect segmentation typically considered, estimate an elasticity that pins down the degree of segmentation, and use it to calibrate our model. We find that credit standards played an important role, explaining 32% to 53% of the boom.
description: Core-Based Statistical Areas in the United States. Smallest Geographic Unit: US Core-Based Statistical Area
DOI: 10.34810/data1562
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Kumbungu, Ghana

description: Qualitative dataset of the Site 'Kumbungu' collected by Emmanuel Nyadzi in Ghana. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.xn6a72
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caltoris cahira",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 72 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019388-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1563
title: Surveys dataset of Local Indicators of Climate Change Impacts in Kumbungu, Ghana

description: Quantitative dataset of the Site 'Kumbungu' collected by Emmanuel Nyadzi in Ghana. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.sbh7vz
title: Occurrence Download

description: A dataset containing 46557 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Clematis flammula)"
 ]
}

 The dataset includes 46557 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019389-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86b7ym
title: Occurrence Download

description: A dataset containing 5948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is NSW BioNet Atlas",
 "Month is December",
 "TaxonKey is Animalia",
 "Year 2023-2023"
 ]
}

 The dataset includes 5948 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009887-241107131044228/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.27653313
title: <b>Concentration-dependent effect of delta-9-tetrahydrocannabinol on epigenetic DNA modifiers in human peripheral blood mononuclear cells</b> - DMR/DhMR datasets from RRBS and RRoxBS

description: Cannabis is among the most used illicit substances in the world, and it is estimated that around 10% of regular cannabis users are susceptible to developing cannabis use disorder (CUD). We examined the effect of different concentrations of delta-9-tetrahydrocannabinol (THC) on epigenetic DNA modifiers - DNA methyltransferases (DNMTs) and ten-eleven translocation enzymes (TETs), cannabinoid <i>CB1</i> and <i>CB2</i> receptors, and cytokines <i>IL-1β, IL-6</i>, <i>IL-10</i>, and <i>TNF-α</i>. We used two <i>in vitro</i> study designs on human peripheral blood mononuclear cells (PBMCs) collected from healthy donors: a) repeated THC incubations and b) repeated THC incubations followed by an “abstinence” period and a THC challenge incubation. We observed no significant effects on <i>DNMTs</i> and <i>TETs</i><i> </i>mRNA levels, enzymatic activity, or <i>CB1</i> and <i>CB2</i> mRNA levels at an average THC concentration (50 ng/ml, n=8 donors). However, repeated exposure to a high THC concentration (200 ng/ml, n=16 donors) statistically significantly downregulated <i>DNMTs</i> and upregulated <i>TETs</i>, <i>CB1</i> and <i>CB2</i> mRNA levels. Both concentrations of THC upregulated gene expression of <i>IL-1β, IL-6</i>, and <i>IL-10</i> and did not affect<i> </i><i>TNF-α</i> gene expression. On a genome-wide level, we found that after repeated THC incubations, a significant amount of differentially hydroxymethylated genes were hyperhydroxymethylated. An additional THC challenge shifted the hyperhydroxymethylated state to hypohydroxymethylation. Genes showing the strongest associations with THC exposure had functional significance in various signalling pathways. Our results indicate that repeated THC exposure induces a dose-dependent maladaptive response that may affect the expression of genes essential in the development of CUD.
DOI: 10.6084/m9.figshare.27653313.v2
title: <b>Concentration-dependent effect of delta-9-tetrahydrocannabinol on epigenetic DNA modifiers in human peripheral blood mononuclear cells</b> - DMR/DhMR datasets from RRBS and RRoxBS

description: Cannabis is among the most used illicit substances in the world, and it is estimated that around 10% of regular cannabis users are susceptible to developing cannabis use disorder (CUD). We examined the effect of different concentrations of delta-9-tetrahydrocannabinol (THC) on epigenetic DNA modifiers - DNA methyltransferases (DNMTs) and ten-eleven translocation enzymes (TETs), cannabinoid <i>CB1</i> and <i>CB2</i> receptors, and cytokines <i>IL-1β, IL-6</i>, <i>IL-10</i>, and <i>TNF-α</i>. We used two <i>in vitro</i> study designs on human peripheral blood mononuclear cells (PBMCs) collected from healthy donors: a) repeated THC incubations and b) repeated THC incubations followed by an “abstinence” period and a THC challenge incubation. We observed no significant effects on <i>DNMTs</i> and <i>TETs</i><i> </i>mRNA levels, enzymatic activity, or <i>CB1</i> and <i>CB2</i> mRNA levels at an average THC concentration (50 ng/ml, n=8 donors). However, repeated exposure to a high THC concentration (200 ng/ml, n=16 donors) statistically significantly downregulated <i>DNMTs</i> and upregulated <i>TETs</i>, <i>CB1</i> and <i>CB2</i> mRNA levels. Both concentrations of THC upregulated gene expression of <i>IL-1β, IL-6</i>, and <i>IL-10</i> and did not affect<i> </i><i>TNF-α</i> gene expression. On a genome-wide level, we found that after repeated THC incubations, a significant amount of differentially hydroxymethylated genes were hyperhydroxymethylated. An additional THC challenge shifted the hyperhydroxymethylated state to hypohydroxymethylation. Genes showing the strongest associations with THC exposure had functional significance in various signalling pathways. Our results indicate that repeated THC exposure induces a dose-dependent maladaptive response that may affect the expression of genes essential in the development of CUD.
DOI: 10.6084/m9.figshare.27653313.v1
title: <b>Concentration-dependent effect of delta-9-tetrahydrocannabinol on epigenetic DNA modifiers in human peripheral blood mononuclear cells</b> - DMR/DhMR datasets from RRBS and RRoxBS

description: Cannabis is among the most used illicit substances in the world, and it is estimated that around 10% of regular cannabis users are susceptible to developing cannabis use disorder (CUD). We examined the effect of different concentrations of delta-9-tetrahydrocannabinol (THC) on epigenetic DNA modifiers - DNA methyltransferases (DNMTs) and ten-eleven translocation enzymes (TETs), cannabinoid <i>CB1</i> and <i>CB2</i> receptors, and cytokines <i>IL-1β, IL-6</i>, <i>IL-10</i>, and <i>TNF-α</i>. We used two <i>in vitro</i> study designs on human peripheral blood mononuclear cells (PBMCs) collected from healthy donors: a) repeated THC incubations and b) repeated THC incubations followed by an “abstinence” period and a THC challenge incubation. We observed no significant effects on <i>DNMTs</i> and <i>TETs</i><i> </i>mRNA levels, enzymatic activity, or <i>CB1</i> and <i>CB2</i> mRNA levels at an average THC concentration (50 ng/ml, n=8 donors). However, repeated exposure to a high THC concentration (200 ng/ml, n=16 donors) statistically significantly downregulated <i>DNMTs</i> and upregulated <i>TETs</i>, <i>CB1</i> and <i>CB2</i> mRNA levels. Both concentrations of THC upregulated gene expression of <i>IL-1β, IL-6</i>, and <i>IL-10</i> and did not affect<i> </i><i>TNF-α</i> gene expression. On a genome-wide level, we found that after repeated THC incubations, a significant amount of differentially hydroxymethylated genes were hyperhydroxymethylated. An additional THC challenge shifted the hyperhydroxymethylated state to hypohydroxymethylation. Genes showing the strongest associations with THC exposure had functional significance in various signalling pathways. Our results indicate that repeated THC exposure induces a dose-dependent maladaptive response that may affect the expression of genes essential in the development of CUD.
DOI: 10.15468/dl.9e5wxb
title: Occurrence Download

description: A dataset listing the 2551922 species recorded in GBIF matching the query:
{
 "IucnRedListCategory" : [
 "is one of (NT, LC, DD, NE)"
 ]
}

 The dataset's 2551922 records were derived from 64159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009855-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0181693.10fu
title: SH0181693.10FU

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/sh0181694.10fu
title: SH0181694.10FU

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/sh0181695.10fu
title: SH0181695.10FU

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/sh0181696.10fu
title: SH0181696.10FU

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/sh0181697.10fu
title: SH0181697.10FU

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/sh0181698.10fu
title: SH0181698.10FU

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.