cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0013293.10fu
title: SH0013293.10FU

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: 10.15468/dl.eqqkmd
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Castanopsis hystrix",
 "Year 1970-2000"
 ]
}

 The dataset includes 209 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074714-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2gvk2fgxb3
title: The characteristic of three Chinese soil humins

description: We use the NMR and STXM-NEXAFS to invesgate the structure and spatial distribution of three Chinese typical soils. This is the raw data of these technology.
DOI: 10.3535/mmz-40c-cnt
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013294.10fu
title: SH0013294.10FU

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: 10.3535/fzc-lzd-xvz
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/j6v-s6c-1mv
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/2gvk2fgxb3.1
title: The characteristic of three Chinese soil humins

description: We use the NMR and STXM-NEXAFS to invesgate the structure and spatial distribution of three Chinese typical soils. This is the raw data of these technology.
DOI: 10.17632/4s8xxh45k9
title: Continuous-Time Regime Propagation (CTRP)

description: The Regime Switching Probabilistic Vector (RSPV), which provides a probabilistic representation of regime dynamics. The RSPV integrates (i) volatility estimation via HMMs, (ii) adaptive regime discretization, (iii) transition probability computation using a CTMC generator derived from Fermi’s Golden Rule (FGR), and (iv) the proximity probability to the mean-reversion value (MRV). RSPV is not a predictive model or a forecasting algorithm. Rather, it represents a probability geometry uncovered from market regime dynamics through physics-inspired transition mechanics. The RSPV encodes time-varying probability distributions across regimes, which downstream forecasting models can exploit as informative features.
DOI: 10.3535/det-w7k-alh
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013295.10fu
title: SH0013295.10FU

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: 10.15468/dl.3c3aa9
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-148.38919 12.02944,-63.61081 12.02944,-63.61081 45.97056,-148.38919 45.97056,-148.38919 12.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solenopsis aurea"
 ]
}

 The dataset includes 668 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074716-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4s8xxh45k9.1
title: Continuous-Time Regime Propagation (CTRP)

description: The Regime Switching Probabilistic Vector (RSPV), which provides a probabilistic representation of regime dynamics. The RSPV integrates (i) volatility estimation via HMMs, (ii) adaptive regime discretization, (iii) transition probability computation using a CTMC generator derived from Fermi’s Golden Rule (FGR), and (iv) the proximity probability to the mean-reversion value (MRV). RSPV is not a predictive model or a forecasting algorithm. Rather, it represents a probability geometry uncovered from market regime dynamics through physics-inspired transition mechanics. The RSPV encodes time-varying probability distributions across regimes, which downstream forecasting models can exploit as informative features.
DOI: 10.3535/xrs-t2a-b6g
title: Elatine triandra Schkuhr

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17911998
title: Data Tables to Data Management Approaches for Health Data Integration: Literature Review

description: The table shows an overview of all papers we included in our literature survey of health data integration works that have at least one data management reference. ref. links to the reference as defined in the paper. datasets lists the types of datasets used by the paper. data integration tasks list all approached data integration tasks, see Section II for an overview. automation approaches lists the approaches used to automate the data integration tasks, see Section V.A for an overview. Finally, data management references lists all data management references we identified, split by a semicolon.
DOI: 10.5281/zenodo.17911999
title: Data Tables to Data Management Approaches for Health Data Integration: Literature Review

description: The table shows an overview of all papers we included in our literature survey of health data integration works that have at least one data management reference. ref. links to the reference as defined in the paper. datasets lists the types of datasets used by the paper. data integration tasks list all approached data integration tasks, see Section II for an overview. automation approaches lists the approaches used to automate the data integration tasks, see Section V.A for an overview. Finally, data management references lists all data management references we identified, split by a semicolon.
DOI: 10.15156/bio/sh0013296.10fu
title: SH0013296.10FU

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: 10.15468/dl.cd2yxx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "OccurrenceStatus is Present",
 "TaxonKey is Platevindex mortoni"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074715-251120083545085/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.30998962
title: Supplementary Material for: Does pre-existing dementia lead to adverse outcomes after stroke? A systematic review and meta-analysis

description: Objective: The aim of this systematic review and meta-analysis was to assess the impact of pre-stroke dementia (PSD) on stroke outcomes.
Methods: Embase, PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, and Scopus were searched from inception till 15th February 2025. Outcomes pooled were short-term mortality (&lt;6 months), long-term mortality (&gt;6 months), poor functional outcomes, recurrence, and discharge to home.
Results: 20 studies were eligible. The pooled prevalence of PSD was 10.4% (95% CI, 7.5%–14.4%). Meta-analysis of crude and adjusted data showed a significant association between PSD and short-term mortality, long-term mortality, and poor functional outcomes. Pooled analysis showed decreased odds of discharge to home with PSD but without any significant effect on stroke recurrence. A separate analysis of ischemic stroke patients undergoing reperfusion therapy showed a significant association between PSD and short-term mortality on analysis of crude but not adjusted data. There was also an increased risk of symptomatic intra-cerebral hemorrhage (ICH) with PSD but the risk of all ICH did not achieve statistical significance. Most outcomes had high inter-study heterogeneity. 
Conclusions: Pre-stroke dementia is associated with increased mortality and poorer functional recovery after stroke, but this effect diminishes after adjustment for confounders. Dementia alone should not deter the use of reperfusion therapy, although careful monitoring for symptomatic ICH is advised. PSD should form an integral part of stroke assessment and prognostication and clinicians should incorporate dementia status into individualized treatment and rehabilitation plans, balancing the potential benefits and risks of aggressive therapies.
DOI: 10.17632/6tws94jjzm
title: Glutaraldehyde-Crosslinked BSA Hydrogels for Cu²⁺, Ni²⁺, and Co²⁺ Removal

description: Heavy metal contamination remains a critical threat to water quality, particularly in effluents associated with industrial activities such as electroplating. This study presents an exploratory proof of concept for a simplified and low-requirement method to fabricate bovine serum albumin (BSA) hydrogels crosslinked with glutaraldehyde (GA) as protein-based adsorbents for Cu²⁺, Ni²⁺, and Co²⁺ removal. Hydrogel slabs were prepared using BSA concentrations of 20% and 25% (w/v) and GA in the 0.6–1.0% (v/v) range, with formulation adjustments guided by handling and aqueous stability. Swelling behavior was monitored for 23 days, and 0.9% (v/v) GA was selected to balance network expansion with hydrogel consistency. Metal removal tests at 50–100 ppm (Cu²⁺, Ni²⁺) and 70–100 ppm (Co²⁺) showed rapid uptake approaching equilibrium within the first hours and improved performance at higher BSA content, achieving maximum removal percent-ages of 99.258% for Cu²⁺, 80.733% for Ni²⁺, and 76.070% for Co²⁺. Adsorption behaviors for Cu²⁺ and Co²⁺ aligned with the Langmuir model, while Ni²⁺ was better described by the Freundlich model. Although the scope is intentionally preliminary and limited to con-trolled synthetic systems, these results support GA-crosslinked BSA hydrogels as promising, easily fabricated adsorbents and establish a foundation for future studies on broader ion selectivity, competitive adsorption, and adsorption–desorption performance.
DOI: 10.15156/bio/sh0013297.10fu
title: SH0013297.10FU

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: 10.15468/dl.frpkrh
title: Occurrence Download

description: A dataset containing 3825 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"BRA.11_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3825 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6wt-0ys-x28
title: Elatine orthosperma Düben

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013298.10fu
title: SH0013298.10FU

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: 10.15468/dl.unss6j
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Beta vulgaris",
 "Year 1970-2000"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074718-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6tws94jjzm.2
title: Glutaraldehyde-Crosslinked BSA Hydrogels for Cu²⁺, Ni²⁺, and Co²⁺ Removal

description: Heavy metal contamination remains a critical threat to water quality, particularly in effluents associated with industrial activities such as electroplating. This study presents an exploratory proof of concept for a simplified and low-requirement method to fabricate bovine serum albumin (BSA) hydrogels crosslinked with glutaraldehyde (GA) as protein-based adsorbents for Cu²⁺, Ni²⁺, and Co²⁺ removal. Hydrogel slabs were prepared using BSA concentrations of 20% and 25% (w/v) and GA in the 0.6–1.0% (v/v) range, with formulation adjustments guided by handling and aqueous stability. Swelling behavior was monitored for 23 days, and 0.9% (v/v) GA was selected to balance network expansion with hydrogel consistency. Metal removal tests at 50–100 ppm (Cu²⁺, Ni²⁺) and 70–100 ppm (Co²⁺) showed rapid uptake approaching equilibrium within the first hours and improved performance at higher BSA content, achieving maximum removal percent-ages of 99.258% for Cu²⁺, 80.733% for Ni²⁺, and 76.070% for Co²⁺. Adsorption behaviors for Cu²⁺ and Co²⁺ aligned with the Langmuir model, while Ni²⁺ was better described by the Freundlich model. Although the scope is intentionally preliminary and limited to con-trolled synthetic systems, these results support GA-crosslinked BSA hydrogels as promising, easily fabricated adsorbents and establish a foundation for future studies on broader ion selectivity, competitive adsorption, and adsorption–desorption performance.
DOI: 10.3535/wa0-5g9-pst
title: Elatine orthosperma Düben

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/knvtw3hg8p
title: Reprodution Folder"Kinship Intensity and Innovation Ambidexterity in Family Businesses: Venturing into the Unknown"

description: This dataset contains the replication materials for the article "Kinship Intensity and Innovation Ambidexterity in Family Businesses: Venturing into the Unknown" submitted in Economic Modelling.
The sample consists of 7,989 firm-year observations of Chinese A-share listed family businesses from 2012 to 2020. The data are primarily sourced from the China Stock Market & Accounting Research (CSMAR) database, with supplementary manual collection for kinship relationship information.
Key variables include:

Exploratory innovation (Expr): Measured by the number of exploratory patent applications (invention patents and design patents) plus one, followed by a natural logarithm transformation. Source: CSMAR patent database.
Exploitative innovation (Expi): Measured by the number of exploitative patent applications (utility model patents) plus one, followed by a natural logarithm transformation. Source: CSMAR patent database.
Kinship intensity (Kinship): The primary independent variable, calculated as the sum of kinship coefficients between the de facto controller and all family members on the board of directors. Kinship coefficients follow standard genealogical weighting (e.g., 0.5 for parent-child or spouses, 0.25 for siblings or grandchildren, etc.).
Control variables: Firm size, age, leverage, ROA, cash flow, board size, independent director ratio, ownership concentration, industry and year dummies, and other standard firm-level controls (full list available in the manuscript).
Instrumental variable: Per capita rice cultivation area in 1978 in the birthplace of the ultimate controller (used for IV estimation).

Important Privacy Notice:
The variables related to kinship relationships (e.g., Kinship, Kinship_core, Kinship_noncore, Kinship_blood, Kinship_inlaw, and family member identifiers) were manually collected from multiple sources including annual reports, prospectuses, listing announcements, executive supervision reports, news articles, and other public and semi-public channels. These data involve detailed familial relationships of entrepreneurs and controlling families, which are considered highly sensitive personal information.
Due to privacy and ethical considerations, researchers interested in accessing or replicating results using the kinship variables are kindly requested to contact the corresponding author or the first author directly for collaboration or controlled access under appropriate data use agreements.
The remaining variables (financial, patent, governance, and instrumental variable data) are derived from public sources (primarily CSMAR) and can be independently reconstructed by licensed users of the database using the variable definitions and sample selection criteria provided in the manuscript.
DOI: 10.3535/ql2-srr-yyf
title: Tilia platyphyllos Scop.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013299.10fu
title: SH0013299.10FU

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.