cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4gjjjr
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAI5833"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033622-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzpgv9
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kochia scoparia",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033621-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkc6ap
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Climacteris picumnus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033624-250802193616735/datasets/export for details.
DOI: 10.15468/dl.jbjn22
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Climacteris picumnus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033625-250802193616735/datasets/export for details.
DOI: 10.15468/dl.zbh3v5
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scolopsis inermis"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033627-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxw3az
title: Occurrence Download

description: A dataset containing 314917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cichorium intybus"
 ]
}

 The dataset includes 314917 records from 2073 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033602-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15318674
title: Arabidopsis sepal live-imaging data sets CAT2 and oryzalin

description: CAT2 data set naming system for files:

Genotype_Replicate_Time Interval_Measure

The genotypes are wild type (wt), ftsh4-5 (ftsh4), CAT2oe (CAT2), and ftsh4-5 CAT2oe (ftsh4CAT2). Replicates are numbered 1-3. Time points are named so that t0 is 0hrs, t1 is 24hrs, t2 is 48hrs, and t3 is 72hrs. Two times in the file name indicates the time interval.

Oryzalin data set naming system for files:

Genotype_Treatment_Replicate_Time Interval_Measure

The genotypes are wild type (wt), ftsh4-5 (ftsh4), CAT2oe (CAT2), and ftsh4-5 CAT2oe (ftsh4CAT2). The treatments are mock and oryzalin (ory). Replicates are numbered 1-3 for mock and 1-4 for oryzalin. Time points are named so that t0 is 0hrs, t1 is 24hrs, t2 is 48hrs, and t3 is 72hrs. Two times in the file name indicates the time interval.
DOI: 10.5281/zenodo.15318675
title: Arabidopsis sepal live-imaging data sets CAT2 and oryzalin

description: CAT2 data set naming system for files:

Genotype_Replicate_Time Interval_Measure

The genotypes are wild type (wt), ftsh4-5 (ftsh4), CAT2oe (CAT2), and ftsh4-5 CAT2oe (ftsh4CAT2). Replicates are numbered 1-3. Time points are named so that t0 is 0hrs, t1 is 24hrs, t2 is 48hrs, and t3 is 72hrs. Two times in the file name indicates the time interval.

Oryzalin data set naming system for files:

Genotype_Treatment_Replicate_Time Interval_Measure

The genotypes are wild type (wt), ftsh4-5 (ftsh4), CAT2oe (CAT2), and ftsh4-5 CAT2oe (ftsh4CAT2). The treatments are mock and oryzalin (ory). Replicates are numbered 1-3 for mock and 1-4 for oryzalin. Time points are named so that t0 is 0hrs, t1 is 24hrs, t2 is 48hrs, and t3 is 72hrs. Two times in the file name indicates the time interval.
DOI: 10.3535/n3x-pmc-m2z
title: Squamata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t8j-x0p-0ys
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8ec-jp7-sql
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gdj-9fz-4e6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pdf-mdq-kr5
title: Echinoidea Schumacher, 1817

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c2e-dv7-0dh
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nna-9dc-dgg
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t2m-rar-ezd
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/935-b53-z54
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s1s-pyf-h3m
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gtm-24v-pjz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nqw-lc7-8vp
title: †Metalegoceras sundaicum (Haniel, 1915)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pv2-s6q-qrn
title: Homo sapiens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/brw-akt-1k8
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wsw-gk8-efk
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6jr-9d8-4e8
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1m5-8m6-9xx
title: Bumastus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2kj-n26-2rf
title: Actaea De Haan, 1833

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29940172
title: FAR1 as a ferroptosis-related biomarker and potential therapeutic target in acute kidney injury: integrated bioinformatics and experimental validation

description: Emerging evidence underscores the critical involvement of ferroptosis in the pathophysiology of AKI. However, the role of ferroptosis-related genes (FRGs) in AKI remains insufficiently explored. This study sought to identify potential FRGs associated with AKI through bioinformatics approaches and experimental validation. AKI-related datasets and FRGs were first collected. Differentially expressed FRGs linked to AKI were identified through analytical methods, followed by an examination of their biological functions. Diagnostic biomarkers were then selected using LASSO, RFE, and RF algorithms. Additionally, small pharmacological molecules associated with DE-FRGs were identified to explore the connection between DE-FRGs and AKI. qRT-PCR analysis revealed FAR1 expression in AKI, while Western blotting and IHC confirmed corresponding FAR1 protein changes in kidney tissues. TUNEL staining confirmed cell death in AKI. ROS production and ferroptosis markers were evaluated in FAR1-knockdown and FAR1-overexpressing HK-2 cells. A total of 106 DE-FRGs were identified, with functional enrichment analysis revealing strong associations with the MAPK and mTOR signaling pathways, as well as ferroptosis. Eight diagnostic biomarkers were selected using multiple algorithms, and their predictive accuracy was validated through ROC curve analysis. Furthermore, 13 pharmacological molecules were identified to establish a relationship between DE-FRGs and AKI. AKI renal tissue exhibited elevated cell death and reduced FAR1 expression. <i>In vitro</i>, FAR1 knockdown in HK-2 cells increased ROS and ferroptosis markers, while FAR1 overexpression rescued these phenotypes. This study identified signaling pathways and small molecules associated with DE-FRGs in AKI. FAR1 was also identified as a potential diagnostic biomarker for AKI.
DOI: 10.6084/m9.figshare.29940172.v1
title: FAR1 as a ferroptosis-related biomarker and potential therapeutic target in acute kidney injury: integrated bioinformatics and experimental validation

description: Emerging evidence underscores the critical involvement of ferroptosis in the pathophysiology of AKI. However, the role of ferroptosis-related genes (FRGs) in AKI remains insufficiently explored. This study sought to identify potential FRGs associated with AKI through bioinformatics approaches and experimental validation. AKI-related datasets and FRGs were first collected. Differentially expressed FRGs linked to AKI were identified through analytical methods, followed by an examination of their biological functions. Diagnostic biomarkers were then selected using LASSO, RFE, and RF algorithms. Additionally, small pharmacological molecules associated with DE-FRGs were identified to explore the connection between DE-FRGs and AKI. qRT-PCR analysis revealed FAR1 expression in AKI, while Western blotting and IHC confirmed corresponding FAR1 protein changes in kidney tissues. TUNEL staining confirmed cell death in AKI. ROS production and ferroptosis markers were evaluated in FAR1-knockdown and FAR1-overexpressing HK-2 cells. A total of 106 DE-FRGs were identified, with functional enrichment analysis revealing strong associations with the MAPK and mTOR signaling pathways, as well as ferroptosis. Eight diagnostic biomarkers were selected using multiple algorithms, and their predictive accuracy was validated through ROC curve analysis. Furthermore, 13 pharmacological molecules were identified to establish a relationship between DE-FRGs and AKI. AKI renal tissue exhibited elevated cell death and reduced FAR1 expression. <i>In vitro</i>, FAR1 knockdown in HK-2 cells increased ROS and ferroptosis markers, while FAR1 overexpression rescued these phenotypes. This study identified signaling pathways and small molecules associated with DE-FRGs in AKI. FAR1 was also identified as a potential diagnostic biomarker for AKI.
DOI: 10.3535/2f4-xx0-cmt
title: Lamniformes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g04-d22-lmr
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ss-nm9-0qk
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/67e-a89-sea
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kl4-cvy-vfk
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yqa-32d-skm
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gxl-d08-gxg
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.a7xprm
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "TaxonKey is Rauvolfia serpentina"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022448-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/8qz-qe7-fr5
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/99k-kjf-klf
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2wa-myx-h49
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dj1-lex-25s
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vzn-wez-whg
title: Bivalvia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b5l-kzq-gel
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rjb-r16-pyv
title: †Hemiaster Desor in Agassiz & Desor, 1847

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25574/30369
title: Chandra X-ray Observatory ObsId 30369

description: The sounds of feedback: deep and wide imaging of the cool core of the Perseus cluster
DOI: 10.3535/8va-zlt-jhj
title: †Onychocella dichotoma (Goldfuss, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r07-q8e-elf
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/akc-8e0-11b
title: Acanthophyllia Wells, 1937

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ee-x3g-76e
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hmv-40w-adq
title: Megabalanus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.4mwdsa
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Artamus monachus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 753 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082805-250717081556266/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.29750066
title: Multi-Scale ICEEMDAN–VMD Decomposition and Optimization-Enhanced CNN–BiGRU-MHA Model for ECT Accuracy Forecasting

description: To improve the prediction accuracy of electronic current transformer (ECT) errors, this study proposes a hybrid prediction model integrating ICEEMDAN decomposition, variational mode decomposition (VMD), and a deep learning framework. First, ICEEMDAN is employed to decompose the measurement data into multi-scale modal components. These components are then screened and reconstructed using multiscale permutation entropy (MPE) and probability density function (PDF) analysis. For complex components, VMD is applied for secondary decomposition with the objective of minimizing MPE, thereby reducing data complexity and providing cleaner, more informative input sequences for the hybrid model. Subsequently, a hybrid prediction model is constructed by combining convolutional neural networks (CNN), bidirectional gated recurrent units (BiGRU), and an attention mechanism. The network parameters of the sub-models are optimized <i>via</i> Snow Ablation Optimization (SAO) to overcome the randomness of traditional subjective parameter selection. The final prediction results are obtained by aggregating the outputs of all sub-models. Experimental results demonstrate that, compared to direct prediction and single-decomposition methods, the proposed model reduces RMSE, MAE, and MAPE by 32.7%, 32.2%, and 31.4%, and 23.8%, 22.2%, and 24.5%, respectively. This method significantly enhances ECT error prediction accuracy, providing an effective solution for real-time monitoring and smart grid operation and maintenance.
DOI: 10.6084/m9.figshare.29750066.v1
title: Multi-Scale ICEEMDAN–VMD Decomposition and Optimization-Enhanced CNN–BiGRU-MHA Model for ECT Accuracy Forecasting

description: To improve the prediction accuracy of electronic current transformer (ECT) errors, this study proposes a hybrid prediction model integrating ICEEMDAN decomposition, variational mode decomposition (VMD), and a deep learning framework. First, ICEEMDAN is employed to decompose the measurement data into multi-scale modal components. These components are then screened and reconstructed using multiscale permutation entropy (MPE) and probability density function (PDF) analysis. For complex components, VMD is applied for secondary decomposition with the objective of minimizing MPE, thereby reducing data complexity and providing cleaner, more informative input sequences for the hybrid model. Subsequently, a hybrid prediction model is constructed by combining convolutional neural networks (CNN), bidirectional gated recurrent units (BiGRU), and an attention mechanism. The network parameters of the sub-models are optimized <i>via</i> Snow Ablation Optimization (SAO) to overcome the randomness of traditional subjective parameter selection. The final prediction results are obtained by aggregating the outputs of all sub-models. Experimental results demonstrate that, compared to direct prediction and single-decomposition methods, the proposed model reduces RMSE, MAE, and MAPE by 32.7%, 32.2%, and 31.4%, and 23.8%, 22.2%, and 24.5%, respectively. This method significantly enhances ECT error prediction accuracy, providing an effective solution for real-time monitoring and smart grid operation and maintenance.
DOI: 10.15468/dl.5748f8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Colección de Invertebrados del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-I)",
 "TaxonKey is Neostrengeria macropa (H.Milne Edwards, 1853)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136662-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryhpgg
title: Occurrence Download

description: A dataset containing 1027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Acer floridanum hort. ex K.Koch, 1869"
 ]
}

 The dataset includes 1027 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286606-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuun51
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025408-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z64tet
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Stylosanthes hippocampoides Mohlenbr., Stylosanthes guianensis (Aubl.) Sw.)"
 ]
}

 The dataset includes 215 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030823-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6csyte
title: Occurrence Download

description: A dataset containing 36470 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendroica petechia (Linnaeus, 1766)"
 ]
}

 The dataset includes 36470 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030818-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.