cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-10.2916389/2465553
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916392/2465554
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916393/2465555
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916395/2465556
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916396/2465557
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916397/2465558
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916400/2465559
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916401/2465560
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916404/2465561
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916405/2465562
title: Data for EMSL Project 51287 from October 2023
DOI: 10.15468/dl.6vph7k
title: Occurrence Download

description: A dataset containing 1124899 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strix varia Barton, 1799"
 ]
}

 The dataset includes 1124899 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014594-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2916406/2465563
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916407/2465564
title: Data for EMSL Project 51287 from October 2023
DOI: 10.3886/e164081
title: disordered eating behaviors and the thin ideal

description: Participants were female college students. They completed surveys regarding attachment security and disordered eating behaviors. Event related potential methods were used to record brain waves while completing a social comparison task related to the thin idea.
DOI: 10.3886/e164081v1-157469
title: disordered eating behaviors and the thin ideal

description: Participants were female college students. They completed surveys regarding attachment security and disordered eating behaviors. Event related potential methods were used to record brain waves while completing a social comparison task related to the thin idea.
DOI: 10.25582/data.2023-10.2916408/2465565
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916409/2465566
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916410/2465567
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916411/2465568
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916413/2465569
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916415/2465570
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916416/2465571
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916417/2465572
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916421/2465573
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916425/2465574
title: Data for EMSL Project 51287 from October 2023
DOI: 10.15468/dl.d7jyec
title: Occurrence Download

description: A dataset containing 1042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Elevation 300.0-1000.0m",
 "Geometry POLYGON((-433.23049 4.50981,-434.43049 4.53474,-434.89299 2.81335,-435.30549 1.78919,-436.04299 1.70173,-436.69299 1.1519,-436.63049 0.66446,-435.96799 0.83945,-435.43049 0.93944,-434.78049 1.21439,-434.08049 1.91412,-434.05549 2.91322,-433.59299 3.73683,-433.23049 4.50981))",
 "HasGeospatialIssue is false",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 1042 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014631-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2916426/2465575
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916427/2465576
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916428/2465577
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916432/2465578
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916433/2465579
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916435/2465580
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916436/2465581
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916437/2465582
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916438/2465583
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916439/2465584
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916440/2465585
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916441/2465586
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916442/2465587
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916446/2465588
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916447/2465589
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916448/2465590
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916450/2465591
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916451/2465592
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916455/2465593
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916456/2465594
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916457/2465595
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916459/2465596
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916460/2465597
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916461/2465598
title: Data for EMSL Project 51287 from October 2023
DOI: 10.6069/fj63-1p25
title: HAMSAB modified gut microbiota signature in human type 1 diabetes delays disease after transfer into gnotobiotic mice

description: Progression to type 1 diabetes (T1D) is associated with a loss of fermentative gut bacteria that produce acetate and butyrate. In a recent trial, we administered a resistant starch prebiotic supplement that delivered acetate and butyrate in adults with T1D. Here, we demonstrate remodeling of the gut epithelium to promote repair pathways after the supplement. Multi-omics analysis found arginine and tryptophan metabolism correlated with markers of improved glycemic control. We used fecal microbiota transfer to demonstrate that the microbiota of supplement responder subjects delayed diabetes progression after colonization into mice. The protected mice increased butyrate, arginine and tryptophan metabolites along with downregulating B- and T-cell responses in the intestinal epithelium. Aryl-hydrocarbon receptor ligand production was increased in mice with slower diabetes progression. These data demonstrate that a dietary supplement in humans promotes a beneficial gut microbiota that can delay diabetes progression and support targeting the microbiota to prevent T1D.
DOI: 10.25582/data.2023-10.2916465/2465599
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916467/2465600
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916469/2465601
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916470/2465602
title: Data for EMSL Project 51287 from October 2023
DOI: 10.15468/dl.c3j66g
title: Occurrence Download

description: A dataset listing the 1504 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.31_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 1504 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014613-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2916471/2465603
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916475/2465604
title: Data for EMSL Project 51287 from October 2023
DOI: 10.15468/dl.xwdcaf
title: Occurrence Download

description: A dataset containing 270055 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ramphocelus passerinii Bonaparte, 1831"
 ]
}

 The dataset includes 270055 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014591-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2916478/2465605
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916479/2465606
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916480/2465607
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916484/2465608
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916488/2465609
title: Data for EMSL Project 51287 from October 2023
DOI: 10.15468/dl.xa3n4c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is sousa chinensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014632-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2916491/2465610
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916492/2465611
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916493/2465612
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2916494/2465613
title: Data for EMSL Project 51287 from October 2023
DOI: 10.6084/m9.figshare.25976434.v1
title: Supplementary Data for "<b>Mapper: fast and accurate sequence alignment via x-mers</b>"

description: Evaluation Results:- Alignment accuracy: `withtagclean.txt`- Alignment consistency: `comparesum.txt` and `*.count`- Speed: `alltime.txt`Others:- Complex reference genomes for the human gut microbiome metagenome: `assembly am0230.fasta`- Example files for Figures S1-S3: `compare_final` folder
DOI: 10.5281/zenodo.13932435
title: Dataset for downscaling, used in downscaled Spatiotemporal Precipitation Model Based on a Transformer Attention Mechanism

description: In this research, we introduce a novel method leveraging the Transformer architecture to generate high-fidelity precipitation model outputs. This technique emulates the statistical characteristics of high-resolution datasets while substantially lowering computational expenses. The core concept involves utilizing a blend of coarse and fine-grained simulated precipitation data, encompassing diverse spatial resolutions and geospatial distributions, to instruct the neural network in the transformation process. We have crafted an innovative ST-Transformer encoder component that dynamically concentrates on various regions, allocating heightened focus to critical spatial zones or sectors. This tailored module is instrumental in enhancing the model's ability to generate outcomes that are not only more true-to-life but also more consistent with physical laws. It adeptly mirrors the temporal and spatial fluctuations in precipitation data and adeptly represents extreme weather events, such as heavy and enduring storms. The efficacy and superiority of our proposed approach are substantiated through a comparative analysis with several cutting-edge forecasting techniques. This evaluation is conducted on two distinct datasets, each derived from simulations run by regional climate models over a period of four months. The datasets vary in their spatial resolutions, with one featuring a 50-kilometer resolution and the other a 12-kilometer resolution, both sourced from the Weather Research and Forecasting (WRF) Model.
DOI: 10.5281/zenodo.13932436
title: Dataset for downscaling, used in downscaled Spatiotemporal Precipitation Model Based on a Transformer Attention Mechanism

description: In this research, we introduce a novel method leveraging the Transformer architecture to generate high-fidelity precipitation model outputs. This technique emulates the statistical characteristics of high-resolution datasets while substantially lowering computational expenses. The core concept involves utilizing a blend of coarse and fine-grained simulated precipitation data, encompassing diverse spatial resolutions and geospatial distributions, to instruct the neural network in the transformation process. We have crafted an innovative ST-Transformer encoder component that dynamically concentrates on various regions, allocating heightened focus to critical spatial zones or sectors. This tailored module is instrumental in enhancing the model's ability to generate outcomes that are not only more true-to-life but also more consistent with physical laws. It adeptly mirrors the temporal and spatial fluctuations in precipitation data and adeptly represents extreme weather events, such as heavy and enduring storms. The efficacy and superiority of our proposed approach are substantiated through a comparative analysis with several cutting-edge forecasting techniques. This evaluation is conducted on two distinct datasets, each derived from simulations run by regional climate models over a period of four months. The datasets vary in their spatial resolutions, with one featuring a 50-kilometer resolution and the other a 12-kilometer resolution, both sourced from the Weather Research and Forecasting (WRF) Model.
DOI: 10.25582/data.2023-10.2916495/2465614
title: Data for EMSL Project 51287 from October 2023
DOI: 10.15468/dl.m96nsg
title: Occurrence Download

description: A dataset containing 16505372 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lamiaceae)"
 ]
}

 The dataset includes 16505372 records from 7760 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014614-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qktrrq
title: Occurrence Download

description: A dataset containing 962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Speyeria mormonia (Boisduval, 1869)",
 "Year 1975-2020"
 ]
}

 The dataset includes 962 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117222-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzp95u
title: Occurrence Download

description: A dataset containing 29986 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases – Vascular Flora and Habitats: species of conservation concern (RELAPE) - [2010-2014]"
 ]
}

 The dataset includes 29986 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088177-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46j6t5
title: Occurrence Download

description: A dataset containing 9528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus agrestis (Linnaeus, 1761)"
 ]
}

 The dataset includes 9528 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027937-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpg5qh
title: Occurrence Download

description: A dataset containing 2735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-31.0",
 "Country is United States of America",
 "Geometry POLYGON((-129.3338 22.36532,-60.18311 22.36532,-60.18311 50.04656,-129.3338 50.04656,-129.3338 22.36532))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Morus alba L."
 ]
}

 The dataset includes 2735 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198801-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.60iwoe
title: Occurrence Download

description: A dataset containing 9062 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasypus novemcinctus Linnaeus, 1758"
 ]
}

 The dataset includes 9062 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021096-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75pvcn
title: Occurrence Download

description: A dataset containing 1935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tragelaphus angasii Angas, 1849"
 ]
}

 The dataset includes 1935 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028151-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktz8c9
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is A new species of Aframomum (Zingiberaceae) from Central Africa"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085855-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ppb8c
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Anolis alvarezdeltoroi Nieto Montes De Oca, 1996"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117289-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v6gfb
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baroniella Costantin & Gallaud"
 ]
}

 The dataset includes 204 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199301-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6f2v9
title: Occurrence Download

description: A dataset containing 561976 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Foz-Tua: Vascular Flora – Ecological and Complentary Measures Monitoring Programs – Contruction Phase I [2012-2014]"
 ]
}

 The dataset includes 561976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088156-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2m34f
title: Occurrence Download

description: A dataset containing 3143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactarius lignyotus Fr."
 ]
}

 The dataset includes 3143 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117314-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2avsf
title: Occurrence Download

description: A dataset containing 15647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchotus rufescens (Temminck, 1815)"
 ]
}

 The dataset includes 15647 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152052-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ygcem
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Lepraria normandinoides Lendemer & R.C.Harris"
 ]
}

 The dataset includes 664 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162869-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn6rt8
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sporobolus metallicola Longhi-Wagner & Boechat"
 ]
}

 The dataset includes 45 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117322-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.db6utb
title: Occurrence Download

description: A dataset containing 205967 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CM Birds Collection"
 ]
}

 The dataset includes 205967 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011422-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpy6xt
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 {
 "or" : [
 "InstitutionCode is ibunam",
 "InstitutionCode is cicy",
 "InstitutionCode is inecol",
 "InstitutionCode is cibyc-uaem",
 "InstitutionCode is asu"
 ]
 },
 "TaxonKey is Agave angustifolia Haw.",
 "Year 1990-2021"
 ]
}

 The dataset includes 497 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026360-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.