cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qyjs6h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prionus aztecus",
 "Year 1119-2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007657-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jjptw
title: Occurrence Download

description: A dataset containing 36762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus florida",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36762 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007658-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhn9kc
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arhopalus montanus",
 "Year 1142-2025"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007661-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6hz3p
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepisiota frauenfeldi"
 ]
}

 The dataset includes 778 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007662-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmq3eq
title: Occurrence Download

description: A dataset containing 377358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Asia",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 377358 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007646-251025141854904/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.30486299
title: <b>Mining and analysis of reported ARDS population in FAERS database</b>

description: Drug-induced acute respiratory distress syndrome (ARDS) represents a severe adverse drug reaction with substantial implications for patient safety. The pathophysiology of ARDS is characterized by inflammatory cascades, endothelial dysfunction, and increased vascular permeability, culminating in pulmonary edema and compromised gas exchange. While prior studies have emphasized the impact of drug-induced adverse events (ADEs) in critical illness, comprehensive analyses leveraging large-scale databases remain underexplored.
DOI: 10.6084/m9.figshare.30486299.v1
title: <b>Mining and analysis of reported ARDS population in FAERS database</b>

description: Drug-induced acute respiratory distress syndrome (ARDS) represents a severe adverse drug reaction with substantial implications for patient safety. The pathophysiology of ARDS is characterized by inflammatory cascades, endothelial dysfunction, and increased vascular permeability, culminating in pulmonary edema and compromised gas exchange. While prior studies have emphasized the impact of drug-induced adverse events (ADEs) in critical illness, comprehensive analyses leveraging large-scale databases remain underexplored.
DOI: 10.15468/dl.baan9k
title: Occurrence Download

description: A dataset containing 329010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Forsythia suspensa, Rheum palmatum, Solanum nigrum, Artemisia capillaris)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 329010 records from 2264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007639-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9u9sb
title: Occurrence Download

description: A dataset containing 1397752 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium"
 ]
}

 The dataset includes 1397752 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058599-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y9yp5
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Watasenia scintillans (S.S.Berry, 1911)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 194 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058607-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg48em
title: Occurrence Download

description: A dataset containing 2716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus pentadactylus (Laurenti, 1768)"
 ]
}

 The dataset includes 2716 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058608-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.jro3.vv7p
title: DELPHI simulation data xs_aria_e091_b98_1l_d2
DOI: 10.7483/opendata.delphi.3b1d.o2m3
title: DELPHI simulation data xs_hzha03pyth6156hgee_e188.6_m115.0_l98_1l_e1
DOI: 10.7483/opendata.delphi.2kxs.lyuk
title: DELPHI simulation data xs_hzha03pyth6156hinvmu_e188.6_m70_r98_1l_e1
DOI: 10.7483/opendata.delphi.iy44.ejuj
title: DELPHI collision data scan98_d2
DOI: 10.7483/opendata.delphi.crj4.2sk1
title: DELPHI simulation data xs_gmsb_e189_r98_1l_d2
DOI: 10.7483/opendata.delphi.ci93.toz6
title: DELPHI simulation data xs_hzha03pyth6156hznu_e188.6_m85_c98_1l_e1
DOI: 10.7483/opendata.delphi.uobk.vfma
title: DELPHI simulation data xs_hzha03pyth6156ha4g_e188.6_m4_m4_c98_1l_e1
DOI: 10.7483/opendata.delphi.t4su.49n7
title: DELPHI simulation data xs_hzha03pyth6156ttz_e188.6_m50_c98_1l_e1
DOI: 10.7483/opendata.delphi.dtyr.5mhe
title: DELPHI simulation data xs_kk2f4144qqar_e91.25_c98_1l_e1
DOI: 10.7483/opendata.delphi.v607.q89z
title: DELPHI simulation data xs_hzha03pyth6156hgee_e188.6_m75.0_l98_1l_e1
DOI: 10.7483/opendata.delphi.6zrb.szmc
title: DELPHI simulation data xs_hzha03pyth6156ttz_e188.6_m85_c98_1l_e1
DOI: 10.7483/opendata.delphi.crfg.f3qz
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m30_m90_c98_1l_e1
DOI: 10.7483/opendata.delphi.megy.6y4a
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m52.5_k98_1l_e1
DOI: 10.15468/dl.wyuck2
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acropoma japonicum Günther, 1859",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 753 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058611-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.t4sy.k3mg
title: DELPHI simulation data xs_hzha03pyth6156hznu_e188.6_m70_c98_1l_e1
DOI: 10.7483/opendata.delphi.88pp.vszb
title: DELPHI collision data lept98_c
DOI: 10.7483/opendata.delphi.8cpw.zbe5
title: DELPHI simulation data xs_hzha03pyth6156hinvmu_e188.6_m65_r98_1l_e1
DOI: 10.7483/opendata.delphi.i1na.fze6
title: DELPHI simulation data xs_gpm3_e189_k98_1l_d2
DOI: 10.7483/opendata.delphi.bn22.mq0h
title: DELPHI simulation data xs_hzha03pyth6156ha4g_e188.6_m30_m4_c98_1l_e1
DOI: 10.7483/opendata.delphi.poyy.mwtu
title: DELPHI simulation data xs_hzha03pyth6156hzqq_e188.6_m100_c98_1l_e1
DOI: 10.15468/dl.shv9uj
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.28_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciurus carolinensis Gmelin, 1788"
 ]
}

 The dataset includes 70 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058612-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7ygxpxk7tx.1
title: Image Processing for Classifying Thai Medicinal Plants using Deep Learning

description: The species of Thai medicinal plants in this work focus on 13 species, including Hairy basil, Tiger herbal, Betel vine, Mitragyna speciosa, Holy basil, Wildbetal leafbush, Siam weed, Bamboo grass, Laurel clockvine, Siamese neem tree, Kaffer lime, Long pepper, and Kitchen mint. We collected 500 leaf images of each species, totaling 6,500 images, divided into 5,200 samples for supervised learning and 1,300 samples for testing.
DOI: 10.17632/nb3wpfp5yn.1
title: Coded Responses of 158 Filipino Pre-Service Science Teachers to the Sexual Health Survey and Sexual Health Practices Self-Efficiency Scale

description: This data set include the Demographic Profile Survey gathered information on biological sex, age, field of specialization, sexual orientation, religion, and relationship status. The Sexual Health Survey (SHS) assessed knowledge on contraception, pregnancy prevention, sexual health communication, sexual behavior, and sexually transmitted infections (STIs) using a 6-point Likert-type scale for 24 items (Eastman-Mueller et al., 2015). The Sexual Health Practices Self-Efficacy Scale (SHPSES) consisted of 20 items evaluating confidence in various sexual health practices across six subscales: Sexual Relationships, Sexual Health Care, Sexual Assault, Safer Sex, Sexual Equality/Diversity, and Abstinence (Koch et al., 2013).

Sources of the Instrument:

Eastman-Mueller, H. P., Gomez-Scott, J., Jung, A. K., & Oswalt, S. B. (2015). Psychometric confirmation of the sexual health survey as a useful tool for college health professionals. Journal of American College Health, 63(6), 409-414. https://doi.org/10.1080/07448481.2015.1031238

Koch, P. B., Colaco, C., & Porter, A. W. (2013). Sexual health practices self-efficacy scale. Handbook of sexuality-related measures, 345-347.
DOI: 10.17632/ns8nrjdtyp.1
title: Dataset of global academic productivity in the emergency medicine field (2004-2024)

description: The dataset has two tables:
1) "Main dataset.xlsx" contains 162,338 records of papers (article, editorial, letter, note, review, short survey) published between January 2004 and September 2024 in Scopus-indexed journals of the Emergency Medicine subject area (except journals without impact metrics). Each document record includes the document title, publication year, citation count, document link, language of original document, journal title, journal quartile and CiteScore, country of origin (determined based on the primary institutional affiliation of the first author), country's world region and income level (based on the classification of the World Bank; The World Bank Group, Washington, District of Columbia, USA). The country of origin data are available for 154,458 document records.
2) "Country-level data.xlsx" presents counts of publications, citations, publications in 1st quartile journals, cumulative CiteScore, and a range of socioeconomic characteristics (Source: the World Bank’s World Development Indicators database) for individual countries.
DOI: 10.7483/opendata.delphi.66e3.y0yx
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m55.0_k98_1l_e1
DOI: 10.7483/opendata.delphi.joxp.e5ac
title: DELPHI simulation data xs_hzha03pyth6156hgmm_e188.6_m52.5_r98_1l_e1
DOI: 10.17632/9gcd8wrv9v.1
title: The behavior of O–Si–Zr–Hf isotopes during the dissolution and growth of zircons in crustal melting

description: Supplementary data for "The behavior of O–Si–Zr–Hf isotopes during the dissolution and growth of zircons in crustal melting"
DOI: 10.17632/j478x7p2r5.1
title: Dataset of a comparative assessment of soil carbon and nutrient dynamics under conventional and high-density apple orchards

description: This study was designed and executed with the hypothesis that conventional and high-density orchards exert differing degrees of influence on SOC distribution, its fractions, and soil nutrient availability due to variations in soil management systems. The data shows that the studied parameters differ significantly between the two orchards systems with conventional being more favorable in terms of soils sustainability. 
The dataset contains different parameters under two orchard systems (conventional and high-density) at three depths (0-30 cm, 30-60 cm and 60-90 cm) with three replication. 
A proper soil sampling and laboratory analysis was caried out to produce this dataset. This dataset can be interpreted after applying statistical procedures.
DOI: 10.17632/sxnmkk2m2t.1
title: Pharmaceutical Care in Community Pharmacies: Pro –outcomes, Across-sectional Study, Wad-Medani, Sudan (2024)

description: This research dataset focuses on various aspects of healthcare service delivery, patient demographics, and medical conditions. It contains detailed information on the following:

Prescription Availability and Encounter Criteria: Records the availability of prescriptions and the criteria for encounters, which could include medical, caregiver, or patient-initiated visits.

Patient Demographics: Includes data on patient and caregiver details such as age (categorized into ranges), gender, residence, and working place/type.

Medical Conditions: Captures the prevalence of chronic and acute conditions, including asthma, diabetes, thyroid disorders, hypertension, central nervous system (CNS) conditions, and chronic renal failure (CRF).

Medication Groups Used: Tracks the types of medications prescribed, categorized into antimicrobials, cardiovascular, respiratory, nutrition and vitamins, analgesics, CNS medications, diabetes medications, gastrointestinal (GIT) medications, hormonal medications, and others.

Knowledge Assessment: Assesses the knowledge of patients, co-patients, and caregivers regarding diagnosis, medication instructions, side effects, dosage regimens, the importance of adherence, follow-up, and medication indications.

Healthcare Providers: Identifies the type of healthcare providers involved, including pharmacists, general physicians, dentists, psychiatrists, specialists, and consultants. Also includes data on self-care practices.

Follow-Up Responses: Evaluates responses to follow-up phone calls, providing insights into patient engagement and care continuity.

Medical Problem Categories: Categorizes medical problems counseled during encounters, including CNS and psychiatric disorders, respiratory problems, cardiovascular issues, orthopedic problems, ophthalmics, dermatitis, sexual disorders, hormonal/endocrine disorders, ENT issues, GIT problems, nutritional deficiencies, renal/urinary tract problems, oro-facial problems, and non-medical issues
DOI: 10.7483/opendata.delphi.48uu.gfxj
title: DELPHI simulation data xs_hzha03pyth6156hinvmu_e188.6_m60_r98_1l_e1
DOI: 10.7483/opendata.delphi.0mig.8z6b
title: DELPHI simulation data xs_hzha03pyth6156hzee_e188.6_m24_c98_1l_e1
DOI: 10.17632/7dxydjw9gs.1
title: R code for article "Combining hierarchical distribution models with dispersal simulations to predict the spread of invasive plant species"

description: R code including global and regional SDMs as well as dispersal models.
DOI: 10.17632/m4jcxmtc92.1
title: Morphological traits of rural and urban Carabus convexus individuals

description: Data to the manuscript entitled "Differences in morphology of rural vs. urban individuals of a forest specialist, flightless ground beetle, Carabus convexus"
DOI: 10.7483/opendata.delphi.vdxj.yqtm
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m40_m40_c98_1l_e1
DOI: 10.15468/dl.n2c42a
title: Occurrence Download

description: A dataset containing 3376 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vegetation and plant diversity of South Penghu National Park, Taiwan"
 ]
}

 The dataset includes 3376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058614-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.ip5r.jsq6
title: DELPHI simulation data xs_hzha03pyth6156hgqq_e188.6_m115.0_k98_1l_e1
DOI: 10.17632/cpdwjjh6vs.1
title: Little Cumberland Island, GA - Road Flooding (Oct 2021-2022)

description: Small island communities are among the first and hardest impacted by sea-level rise, though climate initiatives often focus on more heavily populated and economically productive coastal cities. Furthermore, most climate-impact studies focus on regional scales that may be less applicable to small islands with locally unique morphodynamics. Little Cumberland Island, Georgia, located in southeastern USA, is one example of an often-overlooked small island community. The island is minimally developed; a single dock and dirt roads connect ~40 homes. Residents report that tidal flooding of low-elevation roads has increased in frequency and magnitude over remembered history and is a primary concern for the longevity of island infrastructure. However, without site-specific flooding predictions, they are unsure how or when to develop the roads. Through community science, this study 1) quantified the impact of wind velocity on tidal flooding, 2) predicted future flooding due to sea-level rise, and 3) provided actionable results and advice to island residents. Superimposing predicted sea-level rise onto observed tidal elevations suggests that the frequency of high-tide flood events which inundate roads by at least 15 cm may nearly double by 2030 and nearly triple by 2040. We advise residents to develop flood-resilient elevated roads within the next decade. This community-driven project involved local knowledge, collective action, and social learning with external and internal expertise, though communal agreement on governance for resilient development would benefit from an alignment of conservation values and an extended period of time.
DOI: 10.7483/opendata.delphi.4ff3.d87s
title: DELPHI simulation data xs_hzha03pyth6156hzqq_e188.6_m60_c98_1l_e1
DOI: 10.7483/opendata.delphi.nts6.fdsc
title: DELPHI simulation data xs_hzha03pyth6156ha4g_e188.6_m40_m4_c98_1l_e1
DOI: 10.7483/opendata.delphi.8074.uzxn
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e188.6_m60_m60_c98_1l_e1
DOI: 10.15468/dl.ksjzgv
title: Occurrence Download

description: A dataset containing 15052006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2005-2006"
 ]
}

 The dataset includes 15052006 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058604-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.nujq.e727
title: DELPHI simulation data xs_hzha03pyth6156hgqq_e188.6_m40.0_k98_1l_e1
DOI: 10.7483/opendata.delphi.62sb.1jp5
title: DELPHI simulation data xs_emgr_e189_f98_1l_d2
DOI: 10.17632/c62dvhrcw9.1
title: Original western blot images

description: Original image of western blot.
DOI: 10.17632/ckj5vrb8wm.1
title: GnRH stimulation test in female patients with FHA

description: Aims: Functional hypothalamic amenorrhea (FHA) is a common cause of secondary amenorrhea. Nearly 50% of FHA-women reveal polycystic ovarian morphology (PCOM), a known risk factor for ovarian hyperstimulation syndrome (OHSS). However, when undergoing IVF, gonadotropin releasing hormone-agonist (GnRH-a) triggers are currently not recommended for FHA patients, since an inadequate endogenous surge in luteinizing hormone (LH) is expected. We aimed to challenge this concept and evaluated LH levels after GnRH stimulation in women with FHA with and without PCOM. 
Materials and Methods: In a retrospective cohort study, 82 women with FHA, who underwent a GnRH stimulation test (1mg intravenous gonadorelin), were included. Stimulated LH level was the main outcome parameter.
DOI: 10.17632/zzxxnswhyz.1
title: A randomized controlled trial comparing the efficacy and safety of oral tofacitinib versus methotrexate in moderate to severe alopecia areata

description: My research hypothesis is that methotrexate is non-inferior to tofacitinib in treating moderate to severe alopecia areata. In our research, we evaluated the SALT score, Scalp hair assessment PRO score at every month, and DLQI, and PHQ scores at baseline, at 6 months and 9 months of study period. we also evaluated side effects of both drugs at each visit.
DOI: 10.7483/opendata.delphi.uuzk.7ze7
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e188.6_m50_m110_c98_1l_e1
DOI: 10.17632/2mfswzg6bd.1
title: The role of criminological theories in explaining self-protective behaviour during health crises

description: Results of a study conducted during the COVID-19 pandemic among social network users in European countries, specifically Slovenia, Italy, France, Spain, and Portugal. The survey is based on the following constructs: cues to action, attitudes, perceived benefits, perceived barriers, self-efficacy, susceptibility, disease severity, informal and formal sanctions, and neutralization techniques. The survey targeted social network users during strict lockdown measures. The sample size is n=624.
DOI: 10.17632/57hgyksgvt.1
title: Supplemental Figures for Article: ''An artistic exploration of pigment patterns: from dermatoscope to wearable art''

description: Figure A. “Schematic drawing of the ‘Peas-in-a-Pod’ pattern. Author’s own creation by digital drawing, used to create the photopolymer stamp as described in Fi.g.1 legend in the main article’’ 

Figure B. “Schematic design of the central globular peripheral reticular pattern, adapted from Dermoscopedia, used to create the stamp for the second piece in Fig. 2’’
DOI: 10.17632/n3fmsvtvh9.2
title: employability, self efficacy, career resources

description: employability, self efficacy, access to career resources
DOI: 10.7483/opendata.delphi.nlhz.c5pn
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m57.5_k98_1l_e1
DOI: 10.7483/opendata.delphi.e3r8.e2fs
title: DELPHI simulation data xs_hzha03pyth6156hinvmu_e188.6_m55_r98_1l_e1
DOI: 10.17632/n3fmsvtvh9.1
title: employability, self efficacy, career resources

description: employability, self efficacy, access to career resources
DOI: 10.7483/opendata.delphi.96u0.qtsj
title: DELPHI simulation data xs_hzha03pyth6156ha4g_e188.6_m20_m4_c98_1l_e1
DOI: 10.7483/opendata.delphi.il4i.aj13
title: DELPHI simulation data xs_gm1b_e189_s98_1l_d2
DOI: 10.7483/opendata.delphi.nepx.oc9j
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m30_m70_c98_1l_e1
DOI: 10.7483/opendata.delphi.hw3m.jl8i
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m50.0_k98_1l_e1
DOI: 10.7483/opendata.delphi.ujxp.m1qm
title: DELPHI simulation data xs_hzha03pyth6156hinvmu_e188.6_m40_r98_1l_e1