cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.evn5xu
title: Occurrence Download

description: A dataset containing 252 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 (Allium giganteum)"
 ]
}

 The dataset includes 252 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011365-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/fc2vsp
title: Metagenetic analysis of the 18S nuclear small subunit ribosomal RNA gene of a mixed zooplankton assemblage was carried out using the 454 pyrosequencing platform.

description: Background: Zooplankton play an important role in our oceans, in biogeochemical cycling and providing a food source for commercially important fish larvae. However, difficulties in correctly identifying zooplankton hinder our understanding of their roles in marine ecosystem functioning, and can prevent detection of long term changes in their community structure. The advent of massively parallel next generation sequencing technology allows DNA sequence data to be recovered directly from whole community samples. Here we assess the ability of such sequencing to quantify richness and diversity of a mixed zooplankton assemblage from a productive time series site in the Western English Channel. Methodology/Principle Findings: Plankton net hauls (200 µm) were taken at the Western Channel Observatory station L4 in September 2010 and January 2011. These samples were analysed by microscopy and metagenetic analysis of the 18S nuclear small subunit ribosomal RNA gene using the 454 pyrosequencing platform. Following quality control a total of 419,041 sequences were obtained for all samples. The sequences clustered into 205 operational taxonomic units using a 97% similarity cut-off. Allocation of taxonomy by comparison with the National Centre for Biotechnology Information database identified 135 OTUs to species level, 11 to genus level and 1 to order, &lt;2.5% of sequences were classified as unknowns. By comparison a skilled microscopic analyst was able to routinely enumerate only 58 taxonomic groups. Conclusions: Metagenetics reveals a previously hidden taxonomic richness, especially for Copepoda and hard-to-identify meroplankton such as Bivalvia, Gastropoda and Polychaeta. It also reveals rare species and parasites. We conclude that Next Generation Sequencing of 18S amplicons is a powerful tool for elucidating the true diversity and species richness of zooplankton communities. While this approach allows for broad diversity assessments of plankton it may become increasingly attractive in future if sequence reference libraries of accurately identified individuals are better populated.
DOI: 10.6084/m9.figshare.30164227
title: R data of nomogram for impaired coronary perfusion

description: WGCNA output data R code and data of ischemic heart disease.
DOI: 10.6084/m9.figshare.30164227.v1
title: R data of nomogram for impaired coronary perfusion

description: WGCNA output data R code and data of ischemic heart disease.
DOI: 10.15468/9jae3p
title: FBIP: Actinobacterial diversity in selected South African peatlands

description: Survey of actinobacteria metagenomic DNA and 16S rRNA gene sequences for strains isolated from the three selected peatlands
DOI: 10.15468/m7d6de
title: Vertical stratification of environmental DNA in the open ocean captures ecological patterns and behavior of deep-sea fishes

description: The deep-sea provides global vital functions such as sequestration of carbon from the atmosphere. The increased anthropogenic pressures and interest in expanding deep-sea fisheries makes this pristine ecosystem particularly vulnerable, whose conservation largely depends on rapid knowledge acquisition. In view of the limitations of traditional methods to explore the biodiversity of this vast ecosystem, the analysis of traces of macroorganismal DNA released into the water column arises as a cost-effective, non-invasive alternative. Yet, the success of this approach requires understanding of the stratification of DNA traces in the ocean. This study provides evidence that fish DNA traces can be used to establish depth-specific fish diversity and abundance throughout the water column, opening a promising avenue for gathering knowledge about the deep-sea ecosystem.
DOI: 10.6084/m9.figshare.30196447
title: Data and do file for paper titled "<b>Revisit the Role of Trade liberalization in Technological Innovation</b>"

description: This paper examinesthe causality between trade liberalization and technological innovation using the caseof China’s Free Trade Zones (FTZs). Based on the natural experiment of the staggered establishment of FTZs across China, we apply a DID-based causal inference framework and estimate a significant positive treatment effect on the scale and quality of urban technological innovation This result is supported by various estimators and robustness checks. We show that knowledge flows measured by technology transfer and collaborative innovation and institutional optimizations measured by strengthened IP protection and relaxed market entry barriers significantly drive post-FTZ growth in urban technological innovation performance. Moreover, the depth of reform rather than the number of zones established or the level of government attention to SCI&TECH explains the heterogeneity in innovation performance across FTZ cities. We also reveal FTZs’pivotal role in promoting both leading-edge technological innovations and breakthroughs in new technology domains. This study provides new empirical evidence on the relationship between trade liberalization and technological innovation and highlights the importance of trade liberalization reforms for developing countries.
DOI: 10.6084/m9.figshare.30196447.v1
title: Data and do file for paper titled "<b>Revisit the Role of Trade liberalization in Technological Innovation</b>"

description: This paper examinesthe causality between trade liberalization and technological innovation using the caseof China’s Free Trade Zones (FTZs). Based on the natural experiment of the staggered establishment of FTZs across China, we apply a DID-based causal inference framework and estimate a significant positive treatment effect on the scale and quality of urban technological innovation This result is supported by various estimators and robustness checks. We show that knowledge flows measured by technology transfer and collaborative innovation and institutional optimizations measured by strengthened IP protection and relaxed market entry barriers significantly drive post-FTZ growth in urban technological innovation performance. Moreover, the depth of reform rather than the number of zones established or the level of government attention to SCI&TECH explains the heterogeneity in innovation performance across FTZ cities. We also reveal FTZs’pivotal role in promoting both leading-edge technological innovations and breakthroughs in new technology domains. This study provides new empirical evidence on the relationship between trade liberalization and technological innovation and highlights the importance of trade liberalization reforms for developing countries.
DOI: 10.15468/dl.er3mjx
title: Occurrence Download

description: A dataset containing 31680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.5_1, DEU.9_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Gastropoda, Bivalvia)",
 "Year 1000-2024"
 ]
}

 The dataset includes 31680 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011355-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.escdc8
title: Occurrence Download

description: A dataset containing 4804 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmodium uncinatum"
 ]
}

 The dataset includes 4804 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011364-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/oputoa
title: Water and Sediment samples Targeted loci environmental

description: Water and Sediments samples from multiple locations in Panama
DOI: 10.15468/i4yisv
title: Fluctuating redox regimes raw sequence reads

description: Evaluate the changes in the active microbial community due to fluctuating, stable oxic and stable anoxic redox conditions.
DOI: 10.21227/r3ec-y970
title: "Curated Meteorological Dataset for Solar irRadiation Prediction at our geospatial context"

description: "This dataset presents a processed, machine-learning-ready compilation of hourly time-series meteorological parameters for the purpose of short-term rooftop solar energy prediction. Sourced from public archives of the NASA POWER Project and NOAA, the raw data was rigorously cleaned, merged, and structured.  Key parameters include  a. Solar  Irradiance (Wh\/m\u00b2) \u2013Target variableb. Temperature (\u00b0C)c. Surface Pressure (kPa)d. Specific Humidity  (g\/kg)e. Relative Humidity (%)f. Wind Speed (m\/s)g. Wind Direction (degrees)h. Year, Month, Day, and Hour (used to derive Unix Timestamp)i. Sunrise Time (hh\\:mm)j. Sunset Time (hh\\:mm)k. UNIXTime (seconds), geographically located at Latitude: [19.8797\u00b0 N ], Longitude: [75.3559\u00b0 E] from [30-12-2015 13:30] to [01-07-2023 04:30]. A critical derived feature is the  'Irradiance' column is the target variable (y) for supervised learning tasks. All other columns (e.g., temperature, Temperature, RHumidity,    WindSpeed,WindDirection,Pressure,SHumidity,Hours_of_light,Rel_time) are features (X).  The dataset is curated to enhance predictive modeling and provided in a simple CSV format, This resource is intended to serve as a benchmark for developing, training, and validating scalable and efficient solar forecasting models, ensuring full reproducibility of research built upon it."
DOI: 10.15468/dl.9cmz2w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus clymenum",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011366-250920141307145/datasets/export for details.
DOI: 10.15468/dl.wxtjpp
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus clymenum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011367-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15396278
title: CimpleG DNAm benchmarking datasets for cell-type classification and deconvolution

description: Two large DNAm benchmarking datasets specifically gathered and curated for cell-type classification and deconvolution problems.

It includes a leukocytes dataset and a somatic cells dataset in the GenomicRatioSet format from the minfi package.

These can be easily loaded into R with the readRDS function:



my_data <- readRDS("CimpleG_benchmarking_datasets_2/leukocytes/tidy_leuk_data.rds")


Each dataset includes therein sample data like GEO accession numbers, sample name or ID in their original dataset, cell-type label, one-hot encoded data for each cell-type, preferred train/test splits, and others.

Alternatively, you can also load the individual .csv files. If you choose this option, I recommend using the function fread from the package data.table. Below I briefly describe these (.csv and .txt) files for the leukocytes dataset, the same logic applies to the somatic cells dataset:







tidy_leuk_data_beta-values.csv





Methylation Beta values matrix











tidy_leuk_data_m-values.csv





Methylation M values matrix












tidy_leuk_data_probe-annotation.txt





Note regarding probe annotation












tidy_leuk_data_probe-metadata.csv





Probe metadata matrix (chr and location)












tidy_leuk_data_sample-metadata.csv





Sample metadata matrix (sample ID, cell type labels, one-hot encoded labels, etc.)
DOI: 10.5281/zenodo.8047171
title: CimpleG DNAm benchmarking datasets for cell-type classification and deconvolution

description: Two large DNAm benchmarking datasets specifically gathered and curated for cell-type classification and deconvolution problems.

It includes a leukocytes dataset and a somatic cells dataset in the GenomicRatioSet format from the minfi package.

These can be easily loaded into R with the readRDS function:



my_data <- readRDS("CimpleG_benchmarking_datasets_2/leukocytes/tidy_leuk_data.rds")


Each dataset includes therein sample data like GEO accession numbers, sample name or ID in their original dataset, cell-type label, one-hot encoded data for each cell-type, preferred train/test splits, and others.

Alternatively, you can also load the individual .csv files. If you choose this option, I recommend using the function fread from the package data.table. Below I briefly describe these (.csv and .txt) files for the leukocytes dataset, the same logic applies to the somatic cells dataset:







tidy_leuk_data_beta-values.csv





Methylation Beta values matrix











tidy_leuk_data_m-values.csv





Methylation M values matrix












tidy_leuk_data_probe-annotation.txt





Note regarding probe annotation












tidy_leuk_data_probe-metadata.csv





Probe metadata matrix (chr and location)












tidy_leuk_data_sample-metadata.csv





Sample metadata matrix (sample ID, cell type labels, one-hot encoded labels, etc.)
DOI: 10.15468/dl.wbaepz
title: Occurrence Download

description: A dataset containing 59 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 (Allium insubricum)"
 ]
}

 The dataset includes 59 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011369-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/2kgmjj
title: Bacterial and fungal diversity in Ashumet Pond, MA (USA), and prevalence of manganese-oxidizing isolates

description: Distinct black manganese oxide mineral coatings have long been observed on a portion of the shores of Ashumet Pond, a freshwater pond impacted by heavily contaminated groundwater emanating from a nearby decommissioned wastewater treatment facility. The goal of this study is to identify the microbial communities contributing to the biogeochemical cycling of Mn, and thus to the remediation of metals and organics in this environment.
DOI: 10.15468/dl.vrqw3w
title: Occurrence Download

description: A dataset containing 73366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yungipicus canicapillus",
 "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 73366 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011257-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8fmfo4
title: Microorganisms (Bacteria 16S; Eukaryota 18S) from soil crusts in polar (Arctic and Antarctic) ecosystems

description: Amplicon sequencing dataset (Illumina MiSeq) of Bacteria and Eukaryotes in Soil crusts on Svalbard and Antarctica
DOI: 10.7929/issda/mqmvmr
title: Quarterly National Household Survey (QNHS) Module on Pensions, Q1 2002

description: The Quarterly National Household Survey (QNHS) began in September 1997 and ran until Q2 2017 when it was replaced by the Labour Force Survey (LFS). While the main purpose of the QNHS was the production of quarterly labour force estimates, there is also a provision for the collection of data on social topics through the inclusion of special survey modules. The QHNS also conducted special modules on different social topics each quarter. This special module was on pensions. Please note that due to CSO restrictions, these files cannot be matched to their associated microdata files
DOI: 10.15468/bqwxdt
title: benthic communities bacterial in Antarctica and the arctic

description: Amplicon sequencing dataset of benthic Bacteria (16S ssh rRNA gene) occurring in pools, streams and wet soils of (sub-)Arctic and (sub-)Antarctic regions
DOI: 10.5281/zenodo.17185320
title: wkravchyk/EJRS-GEDI-accuracy: Datasets & scripts used in the paper "How to get closer to actual forest stand height using GEDI? A case study in central European Scots pine stands"

description: This repository contains datasets used and generated during research which led to the paper:
How to get closer to actual forest stand height using GEDI? A case study in central European Scots pine stands
Krawczyk Wojciech, & Wężyk Piotr (2024) European Journal of Remote Sensing, 57(1).
https://doi.org/10.1080/22797254.2024.2399209

This research was carried out under the project "Active and passive satellite remote sensing technologies in forest change dynamics monitoring", grant number 2023/49/N/NZ9/01917 funded by the National Science Centre, Poland.
DOI: 10.5281/zenodo.17190588
title: wkravchyk/EJRS-GEDI-accuracy: Datasets & scripts used in the paper "How to get closer to actual forest stand height using GEDI? A case study in central European Scots pine stands"

description: This repository contains datasets used and generated during research which led to the paper:
How to get closer to actual forest stand height using GEDI? A case study in central European Scots pine stands
Krawczyk Wojciech, & Wężyk Piotr (2024) European Journal of Remote Sensing, 57(1).
https://doi.org/10.1080/22797254.2024.2399209

This research was carried out under the project "Active and passive satellite remote sensing technologies in forest change dynamics monitoring", grant number 2023/49/N/NZ9/01917 funded by the National Science Centre, Poland.
DOI: 10.15468/dl.hvskkw
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus heterophyllus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 164 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011370-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/qskg9d
title: Analyses of biofilms in drainage water during the construction phase of the Koralm railway tunnel

description: During the construction phase of the Koralm railway tunnel several samples from different sites were analysed for the presence of microbes. 16S rDNA amplicon sequencing and subsequent microbial profiling revealed the presence of bacterial consortia typical for the deep continental subsurface dominated by autotrophs, methanotrophs and methylotrophs.
Reference: Koraimann G.; Bischof K. (2022) Characterisation of microbial biofilms from tunnel drainage water. Geomechanics and Tunnelling. 15 (2022), No. 4
DOI: 10.15468/dl.pw6ayw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus heterophyllus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011371-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dhizq0
title: Seawater sample Targeted Locus (Loci)

description: Heterotrophic nanoflagellate (HNF) grazing is one of the main factors shaping the structure of the prokaryotic communities in the marine environments as an important source of microbial mortality. It strongly affects prokaryotic abundance, diversity and taxonomic composition. We analyzed the effects of predation exerted by heterotrophic nanoflagellates (HNF) on bacterioplankton assemblages from a surface coastal station in the North Adriatic Sea, evaluating also the effects of smaller HNF (&lt;3 m) which are known to constitute an important link between bacteria and larger protists. We coupled the traditional dilution method with 454 sequencing of 16S rRNA gene, providing qualitatively and quantitatively evaluations of the grazing process occurring in marine microbial communities.
DOI: 10.15468/dl.zhjrum
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus heterophyllus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011372-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/lyyrrt
title: Baikal Archaea Metagenome

description: Using the method of massively parallel sequencing (Roche 454 platform used) studied the diversity and abundance of archaeal communities in methane hydrate- and oil bearing sediments, c different component composition of pore water in six districts of Lake Baikal
DOI: 10.7910/dvn/otn1ip
title: 2024 Car purchase intention of South Korean consumers

description: This study aims to contribute to the development of the South Korean automotive industry by providing fundamental data that can be used by consumers, car manufacturers, and government policy makers. This is accomplished by tracking and analyzing the long-term changes in the domestic automotive market. 

The data provided is based on the Syndicated Automotive Consumer Study, which has been conducted every year since 2001. Approximately 100,000 responses have been accumulated annually. We are providing a portion of the 2024 raw data. From the complete dataset, respondents were sequentially assigned identification numbers according to the order of response, and every third respondent was selected, thereby extracting one-third of the data.

[Study Contents]The data provided includes the following information:
Respondent Characteristics (gender/age/income/Family member composition, etc.)
Vehicle Characteristics (vehicle type/class/fuel type, etc.)
Car purchase intender within 2 years 
Characteristics of Intended Purchase Car (vehicle type/class/fuel type, etc.)
DOI: 10.15468/dl.8j2spd
title: Occurrence Download

description: A dataset containing 158 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 (Allium karataviense)"
 ]
}

 The dataset includes 158 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011373-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.