cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1379359.10fu
title: SH1379359.10FU

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.18229485
title: Association between Hemoglobin Levels and Chronic Renal Disease in Older Chinese people: A Big-Scale Cohort Analysis
DOI: 10.15156/bio/sh1379360.10fu
title: SH1379360.10FU

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.18229484
title: Association between Hemoglobin Levels and Chronic Renal Disease in Older Chinese people: A Big-Scale Cohort Analysis
DOI: 10.15156/bio/sh1379363.10fu
title: SH1379363.10FU

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/sh1379364.10fu
title: SH1379364.10FU

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/sh1379369.10fu
title: SH1379369.10FU

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/sh1379372.10fu
title: SH1379372.10FU

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/sh1379375.10fu
title: SH1379375.10FU

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/sh1379377.10fu
title: SH1379377.10FU

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/sh1379379.10fu
title: SH1379379.10FU

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.15515031
title: Closing conservation gaps for Chinese freshwater fish in protected areas

description: Protected areas (PAs) are critical for halting biodiversity loss, yet their representativeness in conserving freshwater fish, one of the most threatened vertebrate groups, remains under-assessed. In this study, we evaluated the representativeness of China's PA network for freshwater fish using a novel conservation indicator, the final conservation score in situ (FCSin), which integrates species occurrence within PAs, the proportion of species' distribution under protection, and ecological zone coverage. Our results revealed pronounced spatial and taxonomic disparities in conservation representativeness. Nationally, freshwater fish were underrepresented in the current PA system, with most species (n = 910–1080) assigned medium conservation priority (25 ≤ FCSin < 50). Approximately one-quarter (294–425 species) demonstrated high conservation priority (FCSin < 25), predominantly located in southwestern China and the lower Zangbo River, regions known for high endemism and data deficiency. Species of the endemic genus Sinocyclocheilus were identified as facing the most urgent conservation needs. In contrast, well-protected species (FCSin ≥ 75) were primarily distributed in the upper Yangtze River and Pearl River basins, where recent national policies—including the decade-long fishing ban—have contributed to improved freshwater protection. These findings highlight critical gaps in freshwater fish protection within specific regions of China’s PA system and propose a spatially explicit, indicator-based framework for improving conservation prioritization. Our approach supports targeted ecological management and provides transferable methodology for freshwater biodiversity conservation, particularly in underrepresented and biologically diverse regions worldwide.
DOI: 10.5281/zenodo.15515032
title: Closing conservation gaps for Chinese freshwater fish in protected areas

description: Protected areas (PAs) are critical for halting biodiversity loss, yet their representativeness in conserving freshwater fish, one of the most threatened vertebrate groups, remains under-assessed. In this study, we evaluated the representativeness of China's PA network for freshwater fish using a novel conservation indicator, the final conservation score in situ (FCSin), which integrates species occurrence within PAs, the proportion of species' distribution under protection, and ecological zone coverage. Our results revealed pronounced spatial and taxonomic disparities in conservation representativeness. Nationally, freshwater fish were underrepresented in the current PA system, with most species (n = 910–1080) assigned medium conservation priority (25 ≤ FCSin < 50). Approximately one-quarter (294–425 species) demonstrated high conservation priority (FCSin < 25), predominantly located in southwestern China and the lower Zangbo River, regions known for high endemism and data deficiency. Species of the endemic genus Sinocyclocheilus were identified as facing the most urgent conservation needs. In contrast, well-protected species (FCSin ≥ 75) were primarily distributed in the upper Yangtze River and Pearl River basins, where recent national policies—including the decade-long fishing ban—have contributed to improved freshwater protection. These findings highlight critical gaps in freshwater fish protection within specific regions of China’s PA system and propose a spatially explicit, indicator-based framework for improving conservation prioritization. Our approach supports targeted ecological management and provides transferable methodology for freshwater biodiversity conservation, particularly in underrepresented and biologically diverse regions worldwide.
DOI: 10.15468/dl.f442mq
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophoraceae",
 "Year 1990-2025"
 ]
}

 The dataset includes 59 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001249-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15480/882.15062
title: Dataset on Swelling Behavior and Kinetics of pNIPAM Lyogels with Varying Polymer Formulations and Solvents

description: This dataset contains experimental data on the polymeric structure and swelling kinetics related to solvent-induced swelling of pNIPAM lyogels. The accompanying README file provides detailed descriptions of all included files and explains the research context, methodological information, and the measured variables.
DOI: 10.15468/dl.dkpy8u
title: Occurrence Download

description: A dataset containing 48939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caprimulgiformes",
 "HasCoordinate is true",
 "DatasetKey is iNaturalist Research-grade Observations",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 48939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001252-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr01236.v1
title: Retail Sweep Programs and Bank Reserves
title: Version 1

description: Since January 1994, the Federal Reserve Board has permitted depository institutions in the United States to implement so-called "retail sweep programs." The essence of these programs is computer software that dynamically reclassifies customer deposits from transaction accounts, which are subject to statutory reserve-requirement ratios as high as 10 percent, to money market deposit accounts, which have a zero ratio. Through the use of such software, hundreds of banks have sharply reduced the amount of their required reserves. In many cases, this new lower requirement places no constraint on the bank because it is less than the amount of reserves (vault cash and deposits at the Federal Reserve) that the bank requires for its ordinary day-to-day business. In the terminology introduced by the authors in a previous article (see MEASURING THE ADJUSTED MONETARY BASE IN AN ERA OF FINANCIAL CHANGE [ICPSR 1169]), such deposit-sweeping activity has allowed these banks to become "economically nonbound" and has reduced to zero the economic burden ("tax") due to statutory reserve requirements. In this analysis, the authors examine a large panel of United States banks and develop quantitative estimates of the impact of sweep software programs on the demand for bank reserves.
description: Datasets: 
 
 DS1: Dataset
description: (1) The files submitted are the data file, 0101rad.xls, and the program file, 0101rap.prg. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
DOI: 10.7910/dvn/01gyow
title: Datasets for A Stata Companion to Political Analysis, 4th Edition (textbook published in 2018 by CQ/Sage)

description: Archive of datasets for Stata Companion to Political Analysis, 4th Edition. There are four datasets: GSS, NES, States, and World. Use these datasets to replicate demonstration examples from the book and chapter exercises.
DOI: 10.7910/dvn/03umdf
title: Replication Data for : The structure of West European policy spaces: A stable mismatch or increasing alignment between voters and parties?

description: This datest can be used to reproduce the main tables of results presented in the manuscript "The structure of West European policy spaces: A stable mismatch or increasing alignment between voters and parties?".
DOI: 10.7910/dvn/03i39k
title: The Nature of Sustainable Intention to Act: Design and Validation of a Measurement Scale

description: Supplementary documents for the manuscript "The Nature of Sustainable Intention to Act: Design and Validation of a Measurement Scale"
DOI: 10.7910/dvn/08pszu
title: Replication Data for: The influence of emotion on fake news: from individual and material perspectives

description: Replication Data for: The influence of emotion on fake news: from individual and material perspectives
DOI: 10.7910/dvn/098ql3
title: ACC wildfire PM2.5 mortality rates on a county level 2006 to 2020 CONUS

description: This file contains county level climate change related wildfire PM2.5 mortality rates between 2006 to 2020 for the CONUS
DOI: 10.7910/dvn/0b7swg
title: Replication Data for: Public acceptability of climate-motivated rationing

description: Replication materials for "Public acceptability of climate-motivated rationing"
DOI: 10.7910/dvn/0bukzk
title: Replication Data for: Violent conflict and the demand for healthcare: How armed conflict reduces trust, instills fear, and increases child mortality

description: Schaub, Max. “Violent Conflict and the Demand for Healthcare: How Armed Conflict Reduces Trust, Instills Fear, and Increases Child Mortality.” Social Science & Medicine, September 2, 2024, 117252. https://doi.org/10.1016/j.socscimed.2024.117252.
description: Instructions: place files in a folder and run the .do-file.
DOI: 10.7910/dvn/0ef5ki
title: Validation of the blended learning usability evaluation – questionnaire (BLUE-Q) through an innovative Bayesian questionnaire validation approach

description: The primary aim of this study is to validate the Blended Learning Usability Evaluation – Questionnaire (BLUE-Q) for use in the field of health professions education through a Bayesian approach. As Bayesian questionnaire validation remains elusive, a secondary aim of this article is to serve as a simplified tutorial for engaging in such validation practices in health professions education. A total of 10 health education-based experts in blended learning were recruited to participate in a 30-minute interviewer-administered survey. On a 5-point Likert scale, experts rated how well they perceived each item of the BLUE-Q to reflect its underlying usability domain (i.e., effectiveness, efficiency, satisfaction, accessibility, organization, and learner experience). Ratings were descriptively analyzed and converted into beta prior distributions. Participants were also given the option to provide qualitative comments for each item.
DOI: 10.7910/dvn/0hgjsg
title: A Dataset of hematologic and inflammatory markers in COVID-19 patients

description: COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as-sociated with inflammatory process activation. Among the elements involved in the inflammatory process are leukocytes and cytokine production. Various studies have determined the importance of the neutrophil-to-lymphocyte ratio (NLR) in different inflammatory processes. C-reactive protein (CRP) is involved in several infectious processes as a marker of inflammation. This study aims to determine the values of NLR and CRP in COVID-19 patients and controls and to determine these values in COVID-19 survivors and deceased patients. Overall, during COVID-19, lymphocyte counts, NLR, and CRP values were significantly increased.
Furthermore, it was observed that during the disease, there were more positive correlations between the different inflammatory parameters studied than between the controls. The results show that surviving patients had increased lymphocyte counts and CRP content compared to deceased patients; however, the latter presented the highest NLR values and the lowest lymphocyte values, establishing a prognostic value of severe evolution. The number of significant correlations observed in surviving and deceased patients was similar. This study suggests the importance of leukocytes and CRP in COVID-19 and a possible predictive value for the severe evolution of NLR in the disease.
This dataset presents data regarding these markers in deceased and survivor COVID-19 patients.
DOI: 10.7910/dvn/0gkqpq
title: Environmental Displacement Dataset (EnDis)

description: The Environmental Displacement Dataset (EnDis) quantifies human movement in response to sudden-onset natural hazards, including floods, storms, wildfires, landslides, earthquakes, and volcanic activity.
DOI: 10.7910/dvn/0dcslf
title: Colombia - National Indicative Inventory of Emissions of Criteria Pollutants and Black Carbon 2010 - 2014.
title: Inventario indicativo nacional de emisiones de Contaminantes Criterio y Carbono Negro 2010-2014

description: The objective of this document is to make available to the public and decision makers, information on emissions of various air pollutants, specifically regarding criteria pollutants and black carbon, between the years 2010 - 2014. This information allows the prioritization of emitting sources, in order to develop policies, strategies, guidelines or directives for the reduction of these emissions.
DOI: 10.7910/dvn/0euakk
title: Replication Data for: You Scratch My Back, and I Scratch Yours: Autocratic Reciprocity in the Politics of Naming and Shaming

description: It is a repository for replicating the project, "You Scratch My Back, and I Scratch Yours: Autocratic Reciprocity in the Politics of Naming and Shaming"
DOI: 10.7910/dvn/0fgf04
title: PDB - 4ZQK: Structure of PD-1 in complex with ligand PD-L1, (310K, 37°C, 200 ns): random seed #2: RMSD, SASA, RMSF, Rg, H-bonds

description: PDB - 4ZQK: Structure of PD-1 in complex with ligand PD-L1, (310K, 37°C, 200 ns): random seed #2: RMSD, SASA, RMSF, Rg, H-bonds