cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60712/si-id327099.1
title: StrainInfo SI-ID 327099.1

description: StrainInfo dataset 327099 about a strain of Neurospora sitophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id327100.1
title: StrainInfo SI-ID 327100.1

description: StrainInfo dataset 327100 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id327101.1
title: StrainInfo SI-ID 327101.1

description: StrainInfo dataset 327101 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id327146.1
title: StrainInfo SI-ID 327146.1

description: StrainInfo dataset 327146 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id327147.1
title: StrainInfo SI-ID 327147.1

description: StrainInfo dataset 327147 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.0vymsd
title: Occurrence Download

description: A dataset containing 648529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lauraceae"
 ]
}

 The dataset includes 648529 records from 1172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034811-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.323thq
title: Occurrence Download

description: A dataset containing 1968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "TaxonKey is Cypripedium reginae"
 ]
}

 The dataset includes 1968 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011513-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17336088
title: Baseline Calcium Flux_CSX and U1 roots

description: this data was collected between summer and fall 2026. Baseline calcium flux was profiile along CSX and U1 cotton roots.

 

Data is a component of Joshi et al manuscript (in preparation)
DOI: 10.5281/zenodo.17336089
title: Baseline Calcium Flux_CSX and U1 roots

description: this data was collected between summer and fall 2026. Baseline calcium flux was profiile along CSX and U1 cotton roots.

 

Data is a component of Joshi et al manuscript (in preparation)
DOI: 10.7910/dvn/hmhyrh
title: Reprogramming the immune landscape in atherosclerotic plaques via inorganic nano-immunotherapy

description: Atherosclerosis is a chronic inflammatory disease driven by immune cell interactions within plaques. Nanotherapeutics targeting immune regulation within plaques offer promising potential for atherosclerosis treatment. However, most nanotherapies target single immune subsets and rarely examine cross-cell anti-atherosclerotic mechanisms in plaques. Here we developed a novel and biocompatible inorganic nanoparticle platform (VPNS@P) that efficiently accumulates in the immune microenvironment of atherosclerotic plaques, particularly in macrophages, monocytes and partly T/B cells, with minimal off-target uptake. Additionally, our findings indicate that the VPNS@P not only reduce plaque areas but also substantially improve plaque stability in atherosclerotic mice with no side effects. Importantly, we unraveled the mechanisms of VPNS@P nano-immunotherapy in atherosclerosis through scRNA-seq and experimental validation, demonstrating that it modulates four key immune cell populations within plaques to suppress inflammation and enhance immunity. VPNS@P also reshaped intercellular communication among immune cells within plaques, revealing new therapeutic targets and avenues for atherosclerosis. This study reveals an immune-modulating nanotherapy for atherosclerosis, highlighting its potential in treating inflammatory diseases.
DOI: 10.1594/pangaea.232309
title: Ground-based electromagnetic (EM) and drill-hole ice and snow thickness measurements during Polarstern cruise ARK-XVII/2 in 2001 at ice floe station Ark17_262p1
DOI: 10.1594/pangaea.232310
title: Ground-based electromagnetic (EM) and drill-hole ice and snow thickness measurements during Polarstern cruise ARK-XVII/2 in 2001 at ice floe station Ark17_263p1
DOI: 10.1594/pangaea.232311
title: Ground-based electromagnetic (EM) and drill-hole ice and snow thickness measurements during Polarstern cruise ARK-XVII/2 in 2001 at ice floe station Ark17_264p1
DOI: 10.15468/dl.gigu4b
title: Occurrence Download

description: A dataset containing 8 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 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015724-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.319859
title: Source code of program for preparing and importing research data into different databases

description: This diploma thesis describes the conceptual development and implementation of a program for preparing research data of serveral scientific projects to import them into two different databases (PANGAEA and SeaIceDB). In addition the developed software makes it possible to start importing the prepared data into the database SeaIceDB and then visualize it on the local computer.
DOI: 10.1594/pangaea.319923
title: Laser profiles of sea ice surface roughness during Polarstern cruise ARK-XI/1 in 1995 from flight Ark11_199507251124
DOI: 10.1594/pangaea.319924
title: Laser profiles of sea ice surface roughness during Polarstern cruise ARK-XVII/2 in 2001 from flight Ark17_200109051227
DOI: 10.1594/pangaea.326833
title: Laser profiles of sea ice surface roughness during Polarstern cruise ARK-XI/1 in 1995 from flight Ark11_199508291359
DOI: 10.1594/pangaea.326834
title: Laser profiles of sea ice surface roughness during Polarstern cruise ARK-XI/1 in 1995 from flight Ark11_199509091119
DOI: 10.15468/dl.4fbpjg
title: Occurrence Download

description: A dataset containing 898431713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 898431713 records from 4307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027183-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp468p
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Matricaria discoidea",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039700-250717081556266/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.29636516
title: Summary of clumped isotope measurement - Miocene Digne-Valensole basin

description: The table includes the summary of the clumped isotope measurements for the research paper published in Climate of the Past in 2025. <br>
DOI: 10.6084/m9.figshare.29636516.v1
title: Summary of clumped isotope measurement - Miocene Digne-Valensole basin

description: The table includes the summary of the clumped isotope measurements for the research paper published in Climate of the Past in 2025. <br>
DOI: 10.15468/dl.xwrpmv
title: Occurrence Download

description: A dataset containing 1496522 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 (Hydroprogne caspia)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1496522 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039659-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8yw7k
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aniba rosaeodora amazonica"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039701-250717081556266/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.28127426
title: Integration of multi-omics and benchmark dose modeling to support adverse outcome pathways

description: Recent advancements in omics and benchmark dose (BMD) modeling have facilitated identifying the dose required for a predetermined change in a response (e.g. gene or protein change) that can be used to establish acceptable dose levels for hazardous exposures. Adverse Outcome Pathways (AOPs) describe the causal links between toxicants and adverse effects through key events (KEs). Integrating omics data within the AOP framework quantitatively links early molecular events to later phenotypic effects. In this study, we use omic-based BMD analyses in an in vitro blood model exposed to radiation to identify point of departure (POD) values across KEs to acute myeloid leukemia (www.aopwiki.org/aop/432). Isolated white blood cells were cultured and X-irradiated (1 Gy/minute, 0–6 Gy). Transcriptomic and proteomic changes were assessed 24 h post-exposure. BMD modeling was applied and significantly perturbed genes/proteins and pathways were identified. Those pathways relevant to KEs outlined in AOP 432 were grouped and a POD was determined. BMD modeling identified 1294 genes and 167 proteins with median BMD lower confident limit (BMD) values of 1.35 and 0.32 Gy, respectively. Pathway analysis identified biological processes related to DNA damage/repair, oxidative stress, cell cycle regulation, immune responses, and cancer development. These findings aligned with the KEs in AOP 432. The BMDL values of canonical pathways associated with these KEs were generally below 0.5 Gy with specific genes (e.g. GADD45A) displaying BMDLs &lt;0.05 Gy. This work provides insights into predictive radiation induced mechanisms and associated dose of activity that can be taken into consideration for low dose (&lt; 0.1 Gy) risk analysis.
DOI: 10.6084/m9.figshare.28127426.v1
title: Integration of multi-omics and benchmark dose modeling to support adverse outcome pathways

description: Recent advancements in omics and benchmark dose (BMD) modeling have facilitated identifying the dose required for a predetermined change in a response (e.g. gene or protein change) that can be used to establish acceptable dose levels for hazardous exposures. Adverse Outcome Pathways (AOPs) describe the causal links between toxicants and adverse effects through key events (KEs). Integrating omics data within the AOP framework quantitatively links early molecular events to later phenotypic effects. In this study, we use omic-based BMD analyses in an in vitro blood model exposed to radiation to identify point of departure (POD) values across KEs to acute myeloid leukemia (www.aopwiki.org/aop/432). Isolated white blood cells were cultured and X-irradiated (1 Gy/minute, 0–6 Gy). Transcriptomic and proteomic changes were assessed 24 h post-exposure. BMD modeling was applied and significantly perturbed genes/proteins and pathways were identified. Those pathways relevant to KEs outlined in AOP 432 were grouped and a POD was determined. BMD modeling identified 1294 genes and 167 proteins with median BMD lower confident limit (BMD) values of 1.35 and 0.32 Gy, respectively. Pathway analysis identified biological processes related to DNA damage/repair, oxidative stress, cell cycle regulation, immune responses, and cancer development. These findings aligned with the KEs in AOP 432. The BMDL values of canonical pathways associated with these KEs were generally below 0.5 Gy with specific genes (e.g. GADD45A) displaying BMDLs &lt;0.05 Gy. This work provides insights into predictive radiation induced mechanisms and associated dose of activity that can be taken into consideration for low dose (&lt; 0.1 Gy) risk analysis.
DOI: 10.6084/m9.figshare.28187886
title: Identification and validation of soft tissue sarcoma-specific transcriptomic model for predicting radioresistance

description: We aimed to identify the transcriptomic signatures of soft tissue sarcoma (STS) related to radioresistance and establish a model to predict radioresistance. Nine STS cell lines were cultured. Adenosine triphosphate-based viability was determined 5 days after irradiation with 8 Gy of X-rays in a single fraction. Radiosensitive and radioresistant groups were stratified according to the survival rates. Whole transcriptomic sequencing analysis was performed and differentially expressed genes (DEGs) were identified between the radiosensitive and radioresistant groups. For model generation, a cohort of 59 patients with sarcomas from The Cancer Genome Atlas (TCGA) was used. DEGs of the responder and non-responder groups according to the radiotherapy-best response were identified. The overlapping DEGs between those from TCGA data and the STS cell line were subjected to linear regression to develop a formula, namely the STS-specific radioresistance index (STS-RRI), and its performance was compared with that of the previously established radiosensitivity index (RSI). We selected thirteen overlapping DEGs and established STS-RRI using seven of them: STS-RRI = 1.5185 × MYO16–0.01575 × MYH11 + 3.900375 × KCTD16 + 0.105375 × SYNPO2–0.777375 × MYPN–0.849875 × PCSK6–0.700125 × LTK + 39.4635. Delong’s test revealed that the STS-RRI performed better at stratifying responder and non-responder in TCGA cohort than the RSI (<i>p</i> = .002). The progression-free survival curves of the TCGA cohort were significantly discriminated by STS-RRI (<i>p</i> = .013) but not by RSI (<i>p</i> = .241). We developed the STS-RRI to predict the radioresistance of patients with STS in the TCGA dataset, showing a higher performance than RSI.
DOI: 10.6084/m9.figshare.28187886.v1
title: Identification and validation of soft tissue sarcoma-specific transcriptomic model for predicting radioresistance

description: We aimed to identify the transcriptomic signatures of soft tissue sarcoma (STS) related to radioresistance and establish a model to predict radioresistance. Nine STS cell lines were cultured. Adenosine triphosphate-based viability was determined 5 days after irradiation with 8 Gy of X-rays in a single fraction. Radiosensitive and radioresistant groups were stratified according to the survival rates. Whole transcriptomic sequencing analysis was performed and differentially expressed genes (DEGs) were identified between the radiosensitive and radioresistant groups. For model generation, a cohort of 59 patients with sarcomas from The Cancer Genome Atlas (TCGA) was used. DEGs of the responder and non-responder groups according to the radiotherapy-best response were identified. The overlapping DEGs between those from TCGA data and the STS cell line were subjected to linear regression to develop a formula, namely the STS-specific radioresistance index (STS-RRI), and its performance was compared with that of the previously established radiosensitivity index (RSI). We selected thirteen overlapping DEGs and established STS-RRI using seven of them: STS-RRI = 1.5185 × MYO16–0.01575 × MYH11 + 3.900375 × KCTD16 + 0.105375 × SYNPO2–0.777375 × MYPN–0.849875 × PCSK6–0.700125 × LTK + 39.4635. Delong’s test revealed that the STS-RRI performed better at stratifying responder and non-responder in TCGA cohort than the RSI (<i>p</i> = .002). The progression-free survival curves of the TCGA cohort were significantly discriminated by STS-RRI (<i>p</i> = .013) but not by RSI (<i>p</i> = .241). We developed the STS-RRI to predict the radioresistance of patients with STS in the TCGA dataset, showing a higher performance than RSI.
DOI: 10.15468/dl.qzs9sx
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron annuus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 331 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039702-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2je5dn
title: Occurrence Download

description: A dataset containing 1481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron annuus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1481 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039703-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsexfb
title: Occurrence Download

description: A dataset containing 56117 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 (Hydroprogne caspia)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 56117 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039660-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9seusq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poranopsis paniculata",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039706-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kftjsw
title: Replication Data for: Avatar Anthropomorphism Continuum: A Blockchain-Based Analysis of Avatar Skin Purchases in the Metaverse

description: The dataset comprises transaction records of digital skins in Decentraland, a decentralized metaverse, covering the period from April 1, 2022, to October 2, 2023. It documents each transaction with data points such as timestamps, item's identifiers, and the blockchain wallet addresses of both buyers and sellers. This dataset introduces three novel metrics designed to assess the anthropomorphism of these virtual skins: Head Likeness (HL), Body Completeness (BC), and Body Likeness (BL). These metrics evaluate the extent to which each skin resembles human features and form. HL is measured on a scale from 1 (absence of facial features) to 5 (detailed human-like face), reflecting the development of facial features in the skins. BC quantifies the inclusion of essential human body parts (torso, legs, hands, feet, arms, head) on a scale from 1 (no body parts present) to 7 (all body parts present), providing an overview of the completeness of the avatar’s body. Lastly, BL ranges from 1 (Completely Unlike Human) to 5 (Detailed Human), assessing the general human resemblance of the avatar. The dataset encompasses 4,117 transactions relating to 209 unique skin items. Each record in the dataset is formatted as follows: Timestamp; Buyer's Ethereum address; Seller's Ethereum address; Item's smart contract address; Object type; HL score; BC score; BL score. This cataloging of transactions and innovative anthropomorphic metrics offer insights into the virtual economy and user preferences within Decentraland, making it a significant to research in digital goods and virtual economies.
DOI: 10.57745/gct78e
title: 2009-EGG-CZ-0301-Plovajko.ogg

description: Enregistrement audio en version originale tchèque
DOI: 10.15468/dl.gzbrn2
title: Occurrence Download

description: A dataset listing the 198 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.32634 43.34586,-5.2849 43.34586,-5.2849 43.36612,-5.32634 43.36612,-5.32634 43.34586))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 198 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039676-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/lsm1ot
title: Entretien avec Jan Plovajko. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu en 2009 à [?], Tchéquie. Il a été mené par Adam Hradilek. L'entretien a été réalisé en tchèque. Il a duré 2 heures et 51 minutes.
DOI: 10.15468/dl.rdjzqb
title: Occurrence Download

description: A dataset containing 2593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Ficus glumosa",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2593 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039709-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.