cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ryrf5z
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polycentridae",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 97 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015097-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mfqaq
title: Occurrence Download

description: A dataset containing 2730 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du/de la naturaliste fontaine benoit provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 2730 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232059-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm3wde
title: Occurrence Download

description: A dataset containing 16014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arripidae",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16014 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015067-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9s25z
title: Occurrence Download

description: A dataset containing 3565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilyanassa obsoleta (Say, 1822)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 3565 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055962-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzui6f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptilichthyidae",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015126-190813142620410/datasets/export for details.
DOI: 10.15468/dl.cydf6t
title: Occurrence Download

description: A dataset containing 94513 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire de la flore de Dordogne 2015-2019 - Inventaire de la flore de Dordogne 2016"
 ]
}

 The dataset includes 94513 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232065-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3pucq
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vitreorana gorzulae (Ayarzagüena, 1992))"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077470-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auuqt4
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koelreuteria apiculata Rehder & E.H.Wilson"
 ]
}

 The dataset includes 9 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006403-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd6ue5
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((43.60254 24.9126,63.78223 24.9126,63.78223 40.27588,43.60254 40.27588,43.60254 24.9126))",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013523-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac9755
title: Occurrence Download

description: A dataset containing 314 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 Astrapia rothschildi Foerster, 1906"
 ]
}

 The dataset includes 314 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002049-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr3si0
title: Occurrence Download

description: A dataset containing 164957 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Origanum L."
 ]
}

 The dataset includes 164957 records from 719 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015116-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2m47cj
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-53.54296 -37.00196,-47.35547 -26.45508,-49.03857 -25.10376,-51.79834 -23.04712,-53.61987 -22.75818,-54.13843 -23.82166,-55.24365 -23.77222,-55.64795 -22.41431,-55.91162 -22.18579,-57.8562 -22.06165,-57.8584 -20.64111,-58.56592 -19.42603,-61.3103 -19.42493,-62.41553 -21.27173,-62.63416 -22.06549,-63.8064 -21.91223,-64.32166 -22.67194,-64.57654 -22.19733,-66.15967 -21.79907,-67.81201 -22.73071,-67.81201 -22.73071,-68.6206 -18.77563,-69.50773 -17.477,-69.92358 -18.20325,-70.34216 -18.31256,-98.82422 -25.33008,-88.69922 -57.11134,-57.48047 -57.11134,-53.54296 -37.00196))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elytropus chilensis (A.DC.) Müll.Arg."
 ]
}

 The dataset includes 88 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210329-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahvju3
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Utricularia biloba R.Br."
 ]
}

 The dataset includes 138 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025927-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu4ekz
title: Occurrence Download

description: A dataset containing 277991 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Observation"
 ]
 },
 "Country is Colombia",
 {
 "or" : [
 "TaxonKey is Bacteria",
 "TaxonKey is Protozoa",
 "TaxonKey is Fungi",
 "TaxonKey is Chromista"
 ]
 }
 ]
}

 The dataset includes 277991 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210321-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9g7hf
title: Occurrence Download

description: A dataset containing 72019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castor canadensis Kuhl, 1820"
 ]
}

 The dataset includes 72019 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016737-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3bdyd
title: Occurrence Download

description: A dataset containing 30590500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 30590500 records from 3364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210317-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s827m2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica gentianoides",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015162-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/eows9w
title: Data_Figure_3.cys

description: Data in the Cytoscape format, protein–protein interaction (PPI) network of viral amyloid fibril-forming proteins.
DOI: 10.57745/ilnws4
title: READ_ME.txt

description: :unav
DOI: 10.57745/60zfgi
title: Données de la figure 3 de l'article Gondelaud, Lozach and Longhi, Curr Opin Struct Biol 2023 83:102706. doi: 10.1016/j.sbi.2023.102706

description: Data (in cytoscape format) of Figure 3 of review Gondelaud, Lozach and Longhi, Curr Opin Struct Biol 2023 83:102706. doi: 10.1016/j.sbi.2023.102706. This figure shows the protein–protein interaction (PPI) network of viral amyloid fibril-forming proteins.
DOI: 10.15468/dl.mgmepw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica gentianoides",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015164-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/ysqrjz
title: Mapa genético de Megathyrsus maximus (Jacq.), com informação de dosagem alélica e fase de ligação.

description: Mapa genético de Megathyrsus maximus (Jacq.), com informação de dosagem alélica e fase de ligação. Este corresponde ao mapa de ligação mais denso e informativo para a espécie, até o momento, com 7095 marcadores, abrangendo 1746.18 cM do genoma. Foi gerado a partir de uma população biparental de 224 indivíduos, os quais foram sequenciados por meio do protocolo de Genotipagem por sequenciamento (GBS). Os dados brutos de sequenciamento foram analisados para encontrar variantes e estimar as dosagens alélicas para ambos os pais e todos os indivíduos da população. Cinco genomas de referência de espécies relacionadas foram utilizados durante o processo de mapeamento, devido à ausência de um genoma de referência para M. maximus. O software GATK v.4.1.6.0 foi utilizado para encontrar as variantes e estimar os genótipos. O software MAPpoly v0.2.3 foi utilizado para a construção do mapa.
DOI: 10.25934/pr00004828.1
title: Available datapackage for study 'A Multicenter, Open-label, Single-arm, Phase 2 Study of Abiraterone Acetate Plus Prednisone in Subjects With Advanced Prostate Cancer Without Radiographic Evidence of Metastatic Disease'

description: The purpose of this study is to show that abiraterone acetate plus prednisone added to the current standard of care, gonadotropin-releasing hormone (GnRH) decreases prostate specific antigen (PSA) and prolongs the time until it is evident that the cancer has grown. Additionally, safety information about abiraterone acetate in combination with prednisone will be collected. This will include looking at what side effects occur, how often they occur, and for how long they last.
DOI: 10.15468/dl.ynj2s4
title: Occurrence Download

description: A dataset containing 10788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.6.1_1",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 10788 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015166-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz5msk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica gentianoides",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015167-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6rzjc
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica gentianoides",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015168-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eg3bfg
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica gentianoides",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015169-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/08c26c0f-244b-4591-aa4b-aeba4cf7ad79
title: GenAI Literacy presentations
DOI: 10.25934/pr00005172.1
title: Available IPD datapackage for study 'A Phase 2 Open Label Study of Abiraterone Acetate (JNJ-212082) and Prednisolone in Patients With Advanced Prostate Cancer Who Have Failed Androgen Deprivation and Docetaxel-Based Chemotherapy.'

description: The purpose of this study is to assess the safety and efficacy in Korea or Taiwan of oral abiraterone acetate and oral prednisolone in men with metastatic-castration resistant prostate cancer (mCRPC) and with disease progression following treatment with a docetaxel-containing chemotherapy.
DOI: 10.17026/ar/oimvip
title: 819 IVO-O Sallandsweg 14

description: De initiatiefnemer is van plan om op het perceel van Sallandsweg 14 een zwembad aan te leggen. Voor dit onderzoeksgebied is in eerste instantie een bureauonderzoek uitgevoerd, naar aanleiding van het bureauonderzoek is geadviseerd om enkele controleboringen te zetten binnen de contour van het zwembad. Het onderzoek had de opzet van een verkennend booronderzoek. De werkzaamheden zijn uitgevoerd onder certificaat BRL SIKB 4000 protocol 4003, conform de richtlijnen van de vigerende versie van de Kwaliteitsnorm van de Nederlandse Archeologie (KNA 4.2, protocol 4003 Inventariserend Veldonderzoek). Doel van het onderzoek was inzicht te geven in de geomorfologische en bodemkundige situatie van het onderzoeksgebied en diepteligging van het eventuele sporenvlak en daarnaast het inventariseren van al dan niet aanwezige verstoringen. Het onderzoek had uitdrukkelijk niet tot doel een eventuele vindplaats vast te stellen dan wel te begrenzen. Bovendien diende het onderzoek antwoord te geven op de volgende onderzoeksvragen: 

1. Wat is de geomorfologische en bodemkundige situatie in het onderzoeksgebied? Komt deze overeen met de situatie zoals beschreven in het bureauonderzoek? 
2. Wat is de bodemgaafheid van het plangebied? Indien verstoringen van de bodemopbouw worden geconstateerd wat betekent dit voor de verwachte archeologische resten? 
3. Dient de gespecificeerde archeologische verwachting te worden bijgesteld op basis van het booronderzoek?
Concluderend kan worden gesteld dat de kans dat er in het onderzoeksgebied (intacte) archeologische sporen aanwezig zijn, klein is. De aanwezigheid van lineaire structuren (zoals tuinmuren) kan op basis van het booronderzoek echter nooit helemaal worden uitgesloten.
DOI: 10.7910/dvn/dubpua
title: Canine Distemper and Favipiravir
title: Pariah Dog

description: Favipiravir has the potential to arrest canine distemper virus in pariah dog
DOI: 10.48320/10a2e7cf-4fef-41e5-a09a-d17a2fb73ec4
title: Business Perception Survey in Georgia, 2019
DOI: 10.6084/m9.figshare.30157477
title: <b>ECAWE: Stock Price Predictions based on Extreme Cross Attention</b> <b>and Weighted Extreme Loss Function</b>

description: Stock prices exhibit complex dynamics influenced by political events, economic cycles, and investor sentiment, posing substantial challenges to accurate forecasting. A particularly challenging aspect is the non-stationarity and heavy-tailed distribution of price series, where empirical analysis shows extreme values (exceeding the 80th percentile) account for over 40% of the total mean squared error (MSE) in conventional machine learning models. To address this, we propose a novel framework incorporating an extreme cross-attention (ECA) mechanism that explicitly captures the interplay between normal patterns and extreme events. Our approach: (1) processes multi-sector stock data to extract multidimensional features (e.g., technical indicators); (2) identifies extreme values using quantile thresholds of stock price sequences; (3) computes bidirectional attention weights between normal-state and extreme-value embeddings via ECA; (4) optimizes predictions through a hybrid loss function that combines Huber loss (for normal fluctuations) and a Fréchet-based extreme loss (for extreme points). Extensive experiments across seven industry stock datasets demonstrate that our model reduces MSE by 17-36% against both classical (e.g., LSTM) and state-of-the-art deep learning benchmarks (e.g., iTransformer). Ablation studies confirm the contribution of each component, and a portfolio case study demonstrates its practical utility.
DOI: 10.6084/m9.figshare.30157477.v1
title: <b>ECAWE: Stock Price Predictions based on Extreme Cross Attention</b> <b>and Weighted Extreme Loss Function</b>

description: Stock prices exhibit complex dynamics influenced by political events, economic cycles, and investor sentiment, posing substantial challenges to accurate forecasting. A particularly challenging aspect is the non-stationarity and heavy-tailed distribution of price series, where empirical analysis shows extreme values (exceeding the 80th percentile) account for over 40% of the total mean squared error (MSE) in conventional machine learning models. To address this, we propose a novel framework incorporating an extreme cross-attention (ECA) mechanism that explicitly captures the interplay between normal patterns and extreme events. Our approach: (1) processes multi-sector stock data to extract multidimensional features (e.g., technical indicators); (2) identifies extreme values using quantile thresholds of stock price sequences; (3) computes bidirectional attention weights between normal-state and extreme-value embeddings via ECA; (4) optimizes predictions through a hybrid loss function that combines Huber loss (for normal fluctuations) and a Fréchet-based extreme loss (for extreme points). Extensive experiments across seven industry stock datasets demonstrate that our model reduces MSE by 17-36% against both classical (e.g., LSTM) and state-of-the-art deep learning benchmarks (e.g., iTransformer). Ablation studies confirm the contribution of each component, and a portfolio case study demonstrates its practical utility.
DOI: 10.5281/zenodo.17153392
title: Business Perception Survey in Georgia, 2019

description: G4G is a five-year USAID-funded project, which Deloitte Consulting LLP began implementing in 2014. The project supports the GoG in creating a better business environment via transparent legal and regulatory reforms that provide an opportunity for business sector growth. G4G supports dialogue among the private sector, the government, and civil society stakeholders to effectively formulate reforms that drive economic development. In support of the above goals, G4G has sponsored business environment surveys on a regular basis over the course of the project. The surveys aim to understand the perceptions and attitudes of medium and large businesses operating in Georgia on policy and reform related to the business environment—to identify areas where G4G interventions would be most valuable. In 2019, the survey specifically covered the following issues:

● Awareness of reforms
● Relations with media
● Attitudes toward the business environment
● Audit and tax administration
● Customs perceptions
● Information and communication technologies
● Capital markets
● Pension reform
● Water resource management


CRRC Georgia carried out a survey representative of registered businesses in Georgia. CRRC Georgia conducted interviews with CEOs, owners, or other individuals well informed about business activities. The survey was stratified by size of business (medium and large) using the Georgian national definitions, which were used prior to the adoption of corresponding statistical definitions used in the European Union, which Georgia adopted as part of the Association Agreement with the European Union in 2014. This definition was used because too few businesses are in the large- and medium sized groups in Georgia, according to the European definition and to ensure comparability with previous waves of the survey. 

In total, 1,053 businesses were interviewed within the project. Of these, 668 were medium-sized businesses and 358 were large-sized businesses. Overall, 15 were in the primary sector, 245 in the secondary sector, and 793 in the tertiary sector. The average margin of error for the survey is 1.6%. The survey was conducted in January and February 2019. 

The zipped file includes datasets in SPSS and STATA formats (Dataset folder), questionnaires in English and Georgian, and the survey report in English (Documentation folder).
description: Published on Discuss Data, https://discuss-data.net/dataset/10a2e7cf-4fef-41e5-a09a-d17a2fb73ec4/
description: Method(s) of data collection: Survey