cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34816/efa.archives.253017
title: Amathonte-R4099-008-Sujet : portique, dalle, stylobate, Matériau : calcaire

description: Référence : R4099-008<br />Publication(s) : Inédit<br />Période(s) : Hellénistique; Antiquité<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253018
title: Amathonte-R4099-011-Sujet : portique, dalle, stylobate, Matériau : calcaire

description: Référence : R4099-011<br />Publication(s) : Inédit<br />Période(s) : Hellénistique; Antiquité<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253019
title: Amathonte-R4099-012-Sujet : portique, dalle, stylobate, Matériau : calcaire

description: Référence : R4099-012<br />Publication(s) : Inédit<br />Période(s) : Hellénistique; Antiquité<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253023
title: Amathonte-C673-013-Sujet : rocher, caniveau

description: Référence : C673-013<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253024
title: Amathonte-C673-014-Sujet : rocher, caniveau

description: Référence : C673-014<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253025
title: Amathonte-C673-015-Sujet : rocher, caniveau

description: Référence : C673-015<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253026
title: Amathonte-C673-016-Sujet : rocher, caniveau

description: Référence : C673-016<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253027
title: Amathonte-C673-017-Sujet : rocher, caniveau

description: Référence : C673-017<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.17898/adp_siohca22_v1
title: SiOHCA: Zunajbolnišnični srčni zastoji v Sloveniji, 2022

description: Slovenija je država z dolgo zgodovino uspešno postavljenega registra, kot na primer Register raka Republike Slovenije. Registri so pomembni za sledenje kakovosti (ang. quality assurance) v primerjavi z drugimi območji oz. državami za iskanje priložnosti za izboljšavo in prepoznavanje trendov, ki so pomembni za paciente in njihovo nego. Zunajbolnišnični srčni zastoj (ang. OHCA, Out-of-hospital cardiac arrest) je srčni dogodek, ki je opredeljen kot nenadna izguba srčne mehanične kontrakcije z izgubo znakov srčnega obtoka, ki se zgodi v okolju izven bolnišničnega okolja in je povezan z visoko smrtnostjo. Srčni zastoji so lahko različne etiologije in jih lahko v grobem razdelimo na srčne zastoje z nesrčnim in srčnim vzrokom. Med slednjimi številčno prevladujejo akutni miokardni infarkti (AMI). V Sloveniji je bilo v letu 2012 3376 srčnih dogodkov s klasifikacijo AMI. Kljub temu, da število primerov smrti zaradi srčno-žilnih bolezni zadnja leta upada, AMI še vedno predstavlja enega glavnih vzrokov smrti v Sloveniji in bo glede na povprečne podatke preteklih let v letu 2022 vzrok smrti za približno 1000 Slovencev. Slovenija še nima registra srčnih zastojev, kot jih imajo nekatere druge razvite države v Evropi in po svetu, kar onemogoča primerno obdelavo statističnih podatkov, ki bi doprinesla k višji kakovosti oskrbe bolnikov. Namen raziskave je bil ugotoviti, kako bolje zbirati podatke OHCA v Sloveniji. Cilj je bil ustvariti bazo podatkov, ki je skladna s protokolom Utstein 2015 in lahko združi vse podatkovne točke, ki se jih v Sloveniji že zbira. V raziskavi se je zbiralo podatke o zunajbolnišničnih srčnih zastojih po dveh standardih, in sicer EuReCa THREE in Utstein 2015. Za namen raziskave so avtorji Utstein standard, ki je nastal na podlagi konsenza mednarodnih strokovnjakov (glej publikacijo "Cardiac Arrest and Cardiopulmonary Resuscitation Outcome Reports: Update of the Utstein Resuscitation Registry Templates for Out-of-Hospital Cardiac Arrest" Perkins, Gavin D. et al., 2014) prevedli v slovenski jezik in v vprašalnik (zaradi lažjega izpolnjevanja) dodali tudi EuReCa THREE vprašanja. V spremnih gradivih so na voljo trije vprašalniki, t.j: "Register srčnih zastojev", ki ustreza podatkovni datoteki (Utstein + EuReCa), "Sledenje srčnim zastojem", ki zajema Utstein standard (z dodatkom EuReCa) ter originalni vprašalnik "EuReCa THREE". Za razumevanje podatkov predlagamo, da si med spremnimi gradivi pogledate dokument "Navodila za anketarje".
DOI: 10.34816/efa.archives.253028
title: Amathonte-C673-018-Sujet : rocher, caniveau

description: Référence : C673-018<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253029
title: Amathonte-C673-019-Sujet : rocher, caniveau

description: Référence : C673-019<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253030
title: Amathonte-C673-020-Sujet : rocher, caniveau

description: Référence : C673-020<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253031
title: Amathonte-C673-021-Sujet : rocher, caniveau

description: Référence : C673-021<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253032
title: Amathonte-C673-022-Sujet : rocher, caniveau

description: Référence : C673-022<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.253033
title: Amathonte-C673-023-Sujet : rocher, caniveau

description: Référence : C673-023<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.15468/dl.fss4yt
title: Occurrence Download

description: A dataset containing 998685 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((18.229776657356858 -33.98521916044138, 18.683050572888995 -33.98521916044138, 18.683050572888995 -33.60678351661085, 18.229776657356858 -33.60678351661085, 18.229776657356858 -33.98521916044138))"
 ]
}

 The dataset includes 998685 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002884-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3t5ny
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron sinofalconeri Balf.fil."
 ]
}

 The dataset includes 25 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012751-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72qfbq
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron charitopes Balf.fil. & Farrer"
 ]
}

 The dataset includes 58 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012752-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvx7yh
title: Occurrence Download

description: A dataset containing 3246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carcharhinus longimanus (Poey, 1861)"
 ]
}

 The dataset includes 3246 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012755-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15273667
title: EEG raw_data
DOI: 10.5281/zenodo.15273668
title: EEG raw_data
DOI: 10.15468/dl.we4tbu
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.08766 21.8052,-90.23684 21.46323,-90.81771 20.63201,-91.14686 19.43145,-92.57965 18.82779,-92.75391 18.38739,-92.07624 17.54017,-91.47602 17.00399,-90.79834 17.13356,-90.68217 17.614,-88.92022 17.63245,-87.48743 17.76157,-86.40316 20.26918,-86.75167 21.84115,-87.58424 22.02076,-88.08766 21.8052))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vieja melanura (Günther, 1862)",
 "Year 2000-2025"
 ]
}

 The dataset includes 313 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvv743
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "IucnRedListCategory is CR",
 "TaxonKey is Ambystoma mexicanum (Shaw & Nodder, 1798)",
 "Year 1970-2025"
 ]
}

 The dataset includes 119 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009026-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3naqt
title: Occurrence Download

description: A dataset containing 12010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Luzula luzulina"
 ]
}

 The dataset includes 12010 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048928-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3a9gpj
title: Occurrence Download

description: A dataset containing 9331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Spea multiplicata (Cope, 1863))"
 ]
}

 The dataset includes 9331 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003644-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s85qa3
title: Occurrence Download

description: A dataset containing 7994535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((43.084770536523365 11.146352749935545, 43.084770536523365 85.0033094321106, -36.39403675661231 85.0033094321106, -36.39403675661231 11.146352749935545, 43.084770536523365 11.146352749935545))",
 "TaxonKey is Scleractinia"
 ]
}

 The dataset includes 7994535 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001275-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17665472
title: Dump of the stacks project

description: The dataset was created by the following python code in the context of https://github.com/MaRDI4NFDI/MaRDIRoadmap/issues/134

import pandas as pd
import json
from concurrent.futures import as_completed
from requests_futures.sessions import FuturesSession


tag_url_prefix = 'https://stacks.math.columbia.edu/data/tag/0ELT/structure'
tag_structure_suffix = '/structure'
tags_content_suffix = '/content/full'
structures = [json.loads(requests.get(tag_url_prefix+prt+tag_structure_suffix)) for prt in parts]

def tree_to_list(tree, depth=0, parents=None):
    result = []
    if parents is None:
        parents = []

    for node in tree:
        try:
            node_info = {'tag': node['tag'], 'name':node['name'], 'reference':node['reference'],
                        'type':node['type'],'depth': depth, 'parents': parents}
            result.append(node_info)
        except:
            node_info = {'tag': node['tag'], 'name': 'N/A', 'reference': node['reference'],
                         'type': node['type'], 'depth': depth, 'parents': parents}
            result.append(node_info)
        if 'children' in node:
            result.extend(tree_to_list(node['children'], depth + 1, [node['tag']] + parents))

    return result

structure_list = tree_to_list(structures)
structure_df = pd.DataFrame(structure_list)

with FuturesSession() as session:
    futures = [session.get(tag_url_prefix+structure_df.iloc[_]['tag']+'/content/full') for _ in range(100)]
    for future in as_completed(futures):
        response = future.result()

d = {'content':[future.result().content for future in futures]}
content_df = pd.DataFrame(d)
structure_df['content'] = content_df
structure_df.to_csv('~/stacks_project.csv',index=False)
DOI: 10.15468/dl.5a8bcu
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abronia graminea"
 ]
}

 The dataset includes 254 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001317-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st5yw6
title: Occurrence Download

description: A dataset containing 9646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Algeria, Morocco, Sweden, Switzerland, Belgium, Finland, Norway, Estonia, United Kingdom of Great Britain and Northern Ireland, Poland, Spain, Latvia, Netherlands, Denmark, Korea, Republic of, Japan, United States of America, Canada, Chinese Taipei, France, Russian Federation, Germany, Tunisia, Ukraine, Israel, India, Hungary, Pakistan, Austria, Bangladesh, Italy, China, Bulgaria, Greece, Portugal, Liechtenstein, Isle of Man, Cyprus, Armenia, Czechia, Ireland, Croatia, Türkiye, Uzbekistan, Azerbaijan, Belarus, Mexico, Kazakhstan, Moldova, Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coccinella septempunctata"
 ]
}

 The dataset includes 9646 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001315-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7ve3y
title: Occurrence Download

description: A dataset containing 2075 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna y flora asociada a 18 humedales del valle geográfico del río Cauca"
 ]
}

 The dataset includes 2075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001316-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/hp5puq
title: SAFE HEART: Phase 1

description: Background: Cardiovascular health literacy (CVHL) and social determinants of health (SDoH) play interconnected and critical roles in shaping cardiovascular health (CVH) outcomes. However, awareness of CVH risk has declined markedly, from 65% of women being aware that cardiovascular disease (CVD) is the leading cause of death for women in 2009 to just 44% being aware in 2019. The American Heart Association Research Goes Red (RGR) initiative seeks to develop an open-source, longitudinal, dynamic registry that will help women to be aware of and participate in research studies, and to learn about CVD prevention. We proposed to leverage this platform, particularly among Black and Hispanic women of reproductive age, to address CVHL gaps and advance health equity.

Methods: The primary objective of the study is to evaluate the cross-sectional association of CVHL, SDoH using a polysocial score, and CVH in women of reproductive age at increased risk of developing hypertension (HTN). To achieve this we will use a cross-sectional study design, that engages women already enrolled in the RGR registry (registry-enrolled). To enhance the racial and ethnic/social economic diversity of the cohort, we will additionally enroll 300 women from the Baltimore and Washington D.C. community into the Social Determinants of the Risk of Hypertension in Women of Reproductive Age (SAFE HEART) Study. Community-enrolled and registry-enrolled women will undergo baseline social phenotyping including detailed SDoH questionnaire, CVH metrics assessment, and CVHL assessment. The secondary objective is to assess whether a 4-month active health education intervention will result in a change in CVHL in the 300 community-enrolled women.

Discussion: The SAFE HEART study examines the association between CVHL, SDoH, and CVH, with a focus on racial and ethnic minority groups and socioeconomically disadvantaged women of reproductive age, and the ability to improve these parameters by an educational intervention. These findings will inform the future development of community-engaged strategies that address CVHL and SDoH among women of reproductive age.
DOI: 10.15468/dl.np8usg
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-68.38587 47.32946,-68.30754 47.32946,-68.30754 47.37614,-68.38587 47.37614,-68.38587 47.32946))",
 "Month is one of (January, February, March, April, May, July, June, August, September, October, November, December)",
 "Year 2022-2025"
 ]
}

 The dataset includes 507 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001318-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgn3ae
title: Occurrence Download

description: A dataset containing 1402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abudefduf septemfasciatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1402 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001319-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17560046
title: Events Location | Rapid Mass Movements triggered by an atmospheric river in Disko Island, West Greenland

description: Location of the Rapid Mass Movement Events (mainly slushflows, happened on Jul 07, 2023) described in the paper: Rapid mass movements triggered by an atmospheric river in Disko Island, West Greenland.

For citation, more details on the event and methodology, refer to:

Colucci, R.R., Securo A., Sigsgaard C., Del Gobbo C., Svennevig K. & Citterio M., (2025) Rapid mass movements triggered by an atmospheric river in Disko Island, West Greenland. Earth Surf. Process. Landforms, Available from: https://doi.org/10.1002/esp.70201 

The dataset contains a geopackage, comma separated value and excel spreadsheet with the positions of the events, their coordinates and IDs.Fields, other than Long, Lat in WGS84 are:SF Class1: large SF events (area ≥0.05 km2) that were visible on optical imagery and left noticeable changes in both FC and NDVI between 2022 and 20232: medium SF events (area <5 ha) that were optically visible but may not show changes between 2022 and 2023 in both NDVI and false colour comparisons3: small events that left no detectable geomorphic trace in Sentinel‐2 imagery4: uncertain events or Debris FlowsID MajorEVID of the largest slushflows as mentioned in the text, ordered from south to north (1-18)
DOI: 10.15468/dl.qy4pcq
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador",
 "Geometry POLYGON((-116.22027 -24.00610,-13.77973 -24.00610,-13.77973 17.00610,-116.22027 17.00610,-116.22027 -24.00610))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oenocarpus bataua"
 ]
}

 The dataset includes 185 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001320-251120083545085/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.30670835
title: Co-Rumination

description: Co-Rumination
DOI: 10.6084/m9.figshare.30670835.v1
title: Co-Rumination

description: Co-Rumination
DOI: 10.15468/dl.qe8zvz
title: Occurrence Download

description: A dataset containing 7834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abudefduf sexfasciatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7834 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001321-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17665296
title: GSE96058_NextSeq Expression Data

description: Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative [cohort 3273]
DOI: 10.5281/zenodo.17665295
title: GSE96058_NextSeq Expression Data

description: Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative [cohort 3273]
DOI: 10.15468/dl.jkc44s
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Maxillaria crassifolia"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001322-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkmcx5
title: Occurrence Download

description: A dataset containing 4734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abudefduf sordidus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4734 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001323-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7924/r4n87ht86
title: Uncertainty-Aware Dimensionality Prediction of Low-Dimensional Hybrid Metal Halides by Integrating Bayesian Modeling and Experiments

description: This dataset is sourced from Hybrid3 (https://hybrid3.duke.edu/), published literatures, and crystals synthesized in the lab. It compiles both the dimensionality of hybrid metal halides and the molecular characteristics of spacer cations. Dimensionality labels and chemical names are taken from Hybrid3, literatures, and our experimentally synthesized crystals. We further enriched the dataset by adding detailed molecular information for each spacer cation. These additions allow a more comprehensive analysis of how spacer cation chemistry relates to structural dimensionality.
DOI: 10.5281/zenodo.17594974
title: MASTR-seq enables multiplexed analysis of short tandem repeats with sequencing -RUN1&RUN2

description: MASTRseq raw data run1 and run2, all barcodes information in README.TXT
DOI: 10.5281/zenodo.17594975
title: MASTR-seq enables multiplexed analysis of short tandem repeats with sequencing -RUN1&RUN2

description: MASTRseq raw data run1 and run2, all barcodes information in README.TXT