cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1053280.10fu
title: SH1053280.10FU

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/sh1053281.10fu
title: SH1053281.10FU

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/sh1053282.10fu
title: SH1053282.10FU

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/sh1053284.10fu
title: SH1053284.10FU

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/sh1053286.10fu
title: SH1053286.10FU

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/sh1053287.10fu
title: SH1053287.10FU

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/sh1053289.10fu
title: SH1053289.10FU

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/sh1053290.10fu
title: SH1053290.10FU

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: 10.17632/kz6vzfx4p3.2
title: LINF_040011600

description: Serine-threonine protein kinase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/7ny8bnz73y.1
title: SPT6 Regulates H3K14Ac Deposition in Mouse Embryonic Stem Cells

description: WB of Figures 1A, 4A, 4B, 4C, S2B, S2C, S4B, S4E, S4F, S6E.
DOI: 10.5519/qd.5fybgim2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3813 records)
DOI: 10.17632/s4frmkp8j9.1
title: Source data files of the article "Fintech Entry, Lending Market Competition, and Welfare".

description: This package of MATLAB codes is used to generate numerical illustrations. Within the package, we provide a Word file, "Read me first.docx", to tell how to use the codes. Within each MATLAB file, there are also explanatory notes.
DOI: 10.17632/4ght2d5pb2.1
title: Localized Risk Factors - Supplementary Code and Data

description: This repository holds processed data and the codes to reproduce the results of the paper "Localized Risk Factors: Performance Differentials Between State-Level and US Factor Models" by Oliver Budras, Maik Dierkes, and Florian Sckade. 
Please refer to the README of this repository for a walkthrough of the reproduction of the paper's results.
DOI: 10.17632/7896w9yxrx.1
title: LINF_040012900

description: DnaJ domain-containing protein | JDP11 | J11; Leishmania infantum
DOI: 10.17632/7896w9yxrx.2
title: LINF_040012900

description: DnaJ domain-containing protein | JDP11 | J11; Leishmania infantum (strain JPCM5)
DOI: 10.17632/88sbcxnyhd.1
title: Impact of China's protectionist policies on the market capitalization of China’s high-tech companies

description: In my research I discover the impact of China's protectionist policies on the market value of Chinese technology companies. The presented dataset covers the period from 2014 to 2023 and contains stock quotes from 14 Chinese technology companies and 3 market indices: Shenzhen Component Index, Shanghai Stock Exchange and Hong Kong Stock Exchange. In the time period I mentioned above, I’ve also studied the impact of 20 laws that could potentially have an impact on the capitalization of Chinese technology companies.
DOI: 10.17632/jmmx3hctvs.1
title: LINF_040013400

description: Tyrosine phospatase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/jmmx3hctvs.2
title: LINF_040013400

description: Protein tyrosine phosphatase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.xnq4fa
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus tremolsianus Pau)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000226-250226150154925/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6m6ye
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphisbaena bassleri Vanzolini, 1951"
 ]
}

 The dataset includes 53 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000223-250226150154925/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m2ck4ryhxy.1
title: Effects of sugarcane cultivation on benthic macroinvertebrate assemblages in tropical streams

description: Tropical streams support a diverse array of benthic macroinvertebrates, which play a crucial role in ecological processes and serve as bioindicators of ecosystem health. However, human-induced disturbances, particularly land use changes, can negatively affect stream structure and function. This study investigated how sugarcane cultivation influences benthic macroinvertebrate communities by comparing streams in sugarcane-dominated landscapes with those surrounded by native vegetation. The first hypothesis proposed that sugarcane plantations would lead to a decline in both taxonomic and functional diversity. The findings partially supported this, indicating that streams in sugarcane areas had lower abundance, taxonomic richness, and diversity, while functional diversity remained unaffected. In contrast, streams with native vegetation exhibited higher macroinvertebrate abundance, reinforcing their ecological importance. The second hypothesis suggested that seasonality would have a stronger influence on taxonomic composition in sugarcane streams due to variations in hydrological patterns. The results confirmed this, showing pronounced seasonal changes in taxonomic composition, especially during the rainy season. These findings underscore the significant effects of sugarcane cultivation on aquatic ecosystems and benthic macroinvertebrate communities. Ongoing monitoring of aquatic organisms in agricultural landscapes is crucial for assessing environmental impacts and guiding conservation efforts.
DOI: 10.17632/hpgkmw2cjt.1
title: Trader Intuition and Decision-Making Dataset

description: Description:
This dataset was collected to analyze the role of intuition in trading decisions. It contains survey responses and performance data from traders, capturing various aspects such as experience, risk-taking ability, historical returns, reliance on news feeds, and the use of intuition or gut feelings in trading. Additionally, it includes detailed performance metrics on correct and incorrect trading decisions across different time frames. The dataset is structured to facilitate research on behavioral finance, decision-making processes, and the impact of intuition in financial markets.

Key Variables:

Demographics & Experience: Respondent ID, experience level, risk-taking ability
Trading Behavior: Highest return on capital, maximum drawdown, type of trades
Cognitive & Intuitive Factors: Importance of news feeds, reliance on past trade history, use of intuition
Performance Metrics: Correct and incorrect trade classifications, calculated intuition scores, t-test values
Usage:
This dataset can be utilized for behavioral finance research, trading psychology analysis, and machine learning applications in financial decision-making.

Format: Excel (.xlsx)
DOI: 10.17632/tc59dyztsy.1
title: Ecological forecasting for night monkeys within the Aotus lemurinus complex (Primates, Aotidae): Climate change and habitat vulnerability

description: These raster files are the result of the ecological niche modeling of the three species of the complex Aotus lemurinus, which include A. griseimembra, A. lemurinus, and A. zonalis. These rasters depict areas with suitable habitat conditions for both present and historical periods. Additionally, the models project future conditions for the species under three Shared Socioeconomic Pathways (SSPs 126, 245, and 585), reflecting climate scenarios for the years 2040–2060. 

The future projections are based on the assembly of pixel summaries across five Global Circulation Models (GCMs): HadGEM3-GC31-LL, IPSL-CM6A-LR, ACCESS-CM2, EC-Earth3-Veg, and UKESM1-0-LL. These GCMs were chosen for their diverse approaches to simulating climate dynamics, enhancing model robustness by providing a broader view of future climatic variability.

All raster layers are in binary format of probability of presence 0 and 1.
DOI: 10.17632/tc59dyztsy.2
title: Ecological forecasting for night monkeys within the Aotus lemurinus complex (Primates, Aotidae): Climate change and habitat vulnerability

description: These raster files are the result of the ecological niche modeling of the three species of the complex Aotus lemurinus, which include A. griseimembra, A. lemurinus, and A. zonalis. These rasters depict areas with suitable habitat conditions for both present and historical periods. Additionally, the models project future conditions for the species under three Shared Socioeconomic Pathways (SSPs 126, 245, and 585), reflecting climate scenarios for the years 2040–2060. 

The future projections are based on the assembly of pixel summaries across five Global Circulation Models (GCMs): HadGEM3-GC31-LL, IPSL-CM6A-LR, ACCESS-CM2, EC-Earth3-Veg, and UKESM1-0-LL. These GCMs were chosen for their diverse approaches to simulating climate dynamics, enhancing model robustness by providing a broader view of future climatic variability.

All raster layers are in binary format of probability of presence 0 and 1.

All records were downloaded from GBIF:

GBIF.org (19 January 2023) GBIF Occurrence Download https://doi.org/10.15468/dl.mpbqbj
DOI: 10.17632/kskgnx8s9m.1
title: risk information disclosure and corporate innovation

description: △RiskDis:Difference in the number of risk keyword terms between the two years before and after the annual report ,△RiskDis2:Difference in the number of words of risk keywords between the two years before and after the annual report. △RiskDis3Difference in the number of risk keywords (only “risk” and “uncertainty”) between the two years before and after the annual report .Patcit: Logarithm of the total number of citations of patents of the enterprise in that year.Patnum:The logarithm of the total number of patent applications filed and granted by the enterprise in the year.
DOI: 10.15468/dl.fbqa3h
title: Occurrence Download

description: A dataset containing 5877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Parastrellus hesperus (H.Allen, 1864)"
 ]
}

 The dataset includes 5877 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000228-250226150154925/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anewka
title: Occurrence Download

description: A dataset containing 27994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((38.37494 -26.09927,59.21876 -26.09927,59.21876 -8.51538,38.37494 -8.51538,38.37494 -26.09927))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 27994 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000230-250226150154925/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3bwkt2f9zj.1
title: A raster dataset of drought indices of soil moisture, groundwater and terrestrial water storage for Brazil

description: This raster dataset contains soil moisture, groundwater and terrestrial water storage drought indices for Brazil from February 2003 to March 2024, with a spatial resolution of 0.25°. The Water Storage Deficit Index (WSDI) (Sinha et al., 2017), Soil Moisture Drought Index (SMI) and Groundwater Drought Index (GWI) (Li; Rodell, 2015) are available, calculated, respectively, based on the Profile Soil Moisture, Root Zone Soil Moisture and Groundwater products of the Global Land Data Assimilation System (GLDAS) version 2.2 (Li et al., 2019; Li et al., 2020). The GLDAS 2.2 data were downloaded at daily temporal resolution and transformed into monthly data through averaging, resulting in monthly indices. 
To obtain the WSDI, SMI and GWI drought indices, the monthly anomalies of the respective variables were initially calculated in relation to a base period ranging from February 2003 to January 2024. The anomaly series were then deseasonalized by subtracting them from their monthly climatology. Finally, the resulting series were normalized based on their mean and standard deviation. Details of the index formulas can be found in Sinha et al. (2017) and Li; Rodell (2015) cited in related links.
DOI: 10.17632/4dzjt9mrfy.1
title: Are Treatment Wetlands suitable surrogate habitats for birds? A study on avian diversity in Northern Italy

description: Treatment Wetlands (TWs) are artificial wetlands designed for wastewater treatment. TW technology combines economic utility with ecological and conservation benefits. This study investigates whether TWs can serve as surrogate habitats for birds by comparing them with semi-natural wetlands and the surrounding landscape. 

Specifically, we assessed bird diversity across three habitat types (TWs, semi-natural wetlands, and dry landscape as control) using Hill numbers and analyzed differences in waterbird guilds. Additionally, generalized linear models (GLMs) were applied to explore relationships between environmental variables and bird diversity. Bird diversity data were collected through point counts within 300x300 m plots, while environmental variables were derived via photointerpretation. 

Results showed no significant differences in overall bird diversity between TWs, semi-natural wetlands, and control sites. However, guild-specific analysis revealed that waterbird diversity in TWs exceeded that of the controls and was comparable to semi-natural wetlands. Furthermore, the extent of free water, reedbed coverage, and urbanization degree of the surrounding matrix were positively associated with bird diversity. These findings suggest that TWs can function as suitable surrogate habitats, providing ecological value akin to semi-natural wetlands for most of the tested waterbird guilds. 

In each folder, you can find the various dataframes related to a sampling season. These include both those containing bird abundance data and environmental data. Additionally, the R script is also provided.