cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27936046
title: Macroinvertebrates functional feeding groups (FFGs) of forested streams draining urban catchments in the Niger Delta: identifying and classifying vulnerable and tolerant FFGs

description: This study aims to assess the vulnerability and tolerance levels of macroinvertebrate functional feeding groups (FFGs) in forested streams draining urban areas in the Niger Delta. It contributes to our understanding of how human activities affect freshwater ecosystems. Between 2008 and 2012, we conducted monthly measurements of physicochemical variables and collected macroinvertebrates. We categorised sampling sites into three groups based on disturbance levels: least impacted sites (LIS), moderately impacted sites (MIS), and heavily impacted sites (HIS). Multivariate (RLQ) analysis was used to visualise associations among physicochemical variables across the sampled sites, revealing distinct relationships between certain FFGs and different sites. The RLQ model we constructed showed that grazers and collector-filterers were predominantly observed in LIS, suggesting their vulnerability to environmental stressors. Conversely, predators and shredders were more prevalent in impacted sites (MIS and HIS), indicating their tolerance to disturbances such as elevated nitrate levels and higher water temperatures. The fourth corner graph highlighted differing responses of FFGs to physicochemical variables, with predators showing positive correlations with several factors but no significant association with phosphate levels. Overall, these findings showed the importance of considering the responses of different FFGs to environmental variables in assessing the health and integrity of aquatic ecosystems.
DOI: 10.6084/m9.figshare.27936046.v1
title: Macroinvertebrates functional feeding groups (FFGs) of forested streams draining urban catchments in the Niger Delta: identifying and classifying vulnerable and tolerant FFGs

description: This study aims to assess the vulnerability and tolerance levels of macroinvertebrate functional feeding groups (FFGs) in forested streams draining urban areas in the Niger Delta. It contributes to our understanding of how human activities affect freshwater ecosystems. Between 2008 and 2012, we conducted monthly measurements of physicochemical variables and collected macroinvertebrates. We categorised sampling sites into three groups based on disturbance levels: least impacted sites (LIS), moderately impacted sites (MIS), and heavily impacted sites (HIS). Multivariate (RLQ) analysis was used to visualise associations among physicochemical variables across the sampled sites, revealing distinct relationships between certain FFGs and different sites. The RLQ model we constructed showed that grazers and collector-filterers were predominantly observed in LIS, suggesting their vulnerability to environmental stressors. Conversely, predators and shredders were more prevalent in impacted sites (MIS and HIS), indicating their tolerance to disturbances such as elevated nitrate levels and higher water temperatures. The fourth corner graph highlighted differing responses of FFGs to physicochemical variables, with predators showing positive correlations with several factors but no significant association with phosphate levels. Overall, these findings showed the importance of considering the responses of different FFGs to environmental variables in assessing the health and integrity of aquatic ecosystems.
DOI: 10.15151/esrf-es-2015807040
title: The Iberian cryoEM community BAG (III)

description: The Iberian cryoEM BAG is a consortium of approximately 40 research groups from Portugal and Spain, focused on addressing critical biological questions. These include studies on membrane proteins, disease-related metabolic enzymes, antibiotic resistance, DNA replication and maintenance, protein synthesis, viral structure and replication mechanisms, and macromolecular complexes involved in key cellular processes such as protein folding and degradation. For these groups, electron cryo-microscopy is an indispensable tool, and access to ESRF resources is vital for advancing their research and achieving impactful results.
DOI: 10.6084/m9.figshare.27957141.v1
title: Stochastic Reservoir Computers

description: Data and Jupyter notebooks written in Python used to generate the figures found in the article titled "Stochastic Reservoir Computers."
DOI: 10.6084/m9.figshare.23635449
title: Assessing the success of marine ecosystem restoration

description: The file NatComm Dataset includes the complete Dataset used for the analyses.

The file script_def.zip reports the codebook.
DOI: 10.5281/zenodo.15105311
title: GOSIF - Global, OCO-2 based SIF product

description: Solar-induced chlorophyll fluorescence (SIF) brings major advancements in measuring terrestrial photosynthesis. Many studies showed strong relationships between coarse-resolution SIF data (e.g., GOME-2, GOSAT) and gridded GPP (gross primary productivity) data. More recently, several studies have evaluated the potential of SIF retrievals from the Orbiting Carbon Observatory-2 (OCO-2) in estimating GPP using discrete SIF soundings from OCO-2 and GPP data from eddy covariance (EC) flux towers. However, the spatially and temporally sparse nature of OCO-2 data makes it challenging to use these data for many applications from the ecosystem scale to the globe.

We developed a global ‘OCO-2’ SIF data set (GOSIF) with high spatial and temporal resolutions (i.e., 0.05°, 8-day) over the period 2000-2020 based on discrete OCO-2 SIF soundings, remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS), (MODIS), and meteorological reanalysis data using a data-driven approach. The GOSIF product has reasonable seasonal cycles, and captures the similar seasonality as both the coarse-resolution OCO-2 SIF (1°) directly aggregated from the discrete OCO-2 soundings and tower based GPP. Our SIF estimates are highly correlated with GPP from 91 FLUXNET sites (R2 = 0.73, p < 0.001). They capture the expected spatial and temporal patterns in SIF and also has a remarkable ability to highlight the crop areas with the highest daily productivity across the globe. Our product also allows us to examine the long-term trends in SIF globally. Compared with the coarse-resolution SIF that was directly aggregated from OCO-2 soundings, GOSIF has finer spatial resolution, globally continuous coverage, and a much longer record.

 

Citation:

Li, X., Xiao, J. (2019) A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data. Remote Sensing, 11, 517; doi:10.3390/rs11050517. 

Metadata:

Spatial resolution: 0.05 degree

Spatial extent: globe

Temporal resolution: 8 day

Temporal extent: 2000 - 2020

Fair Data Use Policy:

We make this data product available to the research community as we believe that the dissemination of this data set will lead to advancement in science. If you plan to use our data in a manuscript or presentation, we request that you inform us at an early stage of your work. If this data set is essential to your work, or if an important result or finding depends on the GOSIF data, co-authorship may be appropriate. You must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.

Contact: Drs. Jingfeng Xiao (j.xiao@unh.edu) and Xing Li (lixing58@mail.sysu.edu.cn).
DOI: 10.5281/zenodo.15105312
title: GOSIF - Global, OCO-2 based SIF product

description: Solar-induced chlorophyll fluorescence (SIF) brings major advancements in measuring terrestrial photosynthesis. Many studies showed strong relationships between coarse-resolution SIF data (e.g., GOME-2, GOSAT) and gridded GPP (gross primary productivity) data. More recently, several studies have evaluated the potential of SIF retrievals from the Orbiting Carbon Observatory-2 (OCO-2) in estimating GPP using discrete SIF soundings from OCO-2 and GPP data from eddy covariance (EC) flux towers. However, the spatially and temporally sparse nature of OCO-2 data makes it challenging to use these data for many applications from the ecosystem scale to the globe.

We developed a global ‘OCO-2’ SIF data set (GOSIF) with high spatial and temporal resolutions (i.e., 0.05°, 8-day) over the period 2000-2020 based on discrete OCO-2 SIF soundings, remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS), (MODIS), and meteorological reanalysis data using a data-driven approach. The GOSIF product has reasonable seasonal cycles, and captures the similar seasonality as both the coarse-resolution OCO-2 SIF (1°) directly aggregated from the discrete OCO-2 soundings and tower based GPP. Our SIF estimates are highly correlated with GPP from 91 FLUXNET sites (R2 = 0.73, p < 0.001). They capture the expected spatial and temporal patterns in SIF and also has a remarkable ability to highlight the crop areas with the highest daily productivity across the globe. Our product also allows us to examine the long-term trends in SIF globally. Compared with the coarse-resolution SIF that was directly aggregated from OCO-2 soundings, GOSIF has finer spatial resolution, globally continuous coverage, and a much longer record.

 

Citation:

Li, X., Xiao, J. (2019) A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data. Remote Sensing, 11, 517; doi:10.3390/rs11050517. 

Metadata:

Spatial resolution: 0.05 degree

Spatial extent: globe

Temporal resolution: 8 day

Temporal extent: 2000 - 2020

Fair Data Use Policy:

We make this data product available to the research community as we believe that the dissemination of this data set will lead to advancement in science. If you plan to use our data in a manuscript or presentation, we request that you inform us at an early stage of your work. If this data set is essential to your work, or if an important result or finding depends on the GOSIF data, co-authorship may be appropriate. You must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.

Contact: Drs. Jingfeng Xiao (j.xiao@unh.edu) and Xing Li (lixing58@mail.sysu.edu.cn).
DOI: 10.15468/dl.v6ak6j
title: Occurrence Download

description: A dataset containing 42261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "TaxonKey is Syrphidae"
 ]
}

 The dataset includes 42261 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006572-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt6gt7
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Nepal, Pakistan, Bhutan, Bangladesh, Sri Lanka, Afghanistan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hyaena hyaena (Linnaeus, 1758)"
 ]
}

 The dataset includes 195 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006573-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvf2sa
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Iran (Islamic Republic of))",
 "TaxonKey is Coccothraustes coccothraustes nigricans Buturlin, 1908"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006574-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15107787
title: THE USE OF INTERACTIVE METHODS AND ARTIFICIAL INTELLIGENCE IN TEACHING THE RUSSIAN LANGUAGE
DOI: 10.5281/zenodo.15107788
title: THE USE OF INTERACTIVE METHODS AND ARTIFICIAL INTELLIGENCE IN TEACHING THE RUSSIAN LANGUAGE
DOI: 10.5281/zenodo.15107793
title: ENHANCING COMPUTATIONAL THINKING THROUGH ALGORITHMIC AND ANALYTICAL APPROACHES IN PROGRAMMING EDUCATION
DOI: 10.5281/zenodo.15107794
title: ENHANCING COMPUTATIONAL THINKING THROUGH ALGORITHMIC AND ANALYTICAL APPROACHES IN PROGRAMMING EDUCATION
DOI: 10.5281/zenodo.14911181
title: Linguistic Mythology: Russian and Icelandic Languages [Лингвистическая мифология. Русский и Исландский Языки]

description: This is a presentation of my talk given at the international conference on the interaction of the Russian, Icelandic and Faroese culture in the Arctic context (Moscow, Gorky Institute for the World's Literature, 22-23.05.2019 http://imli.ru/index.php/konferentsii/konferentsii-2019/3615-vzaimodejstvie-kultur-v-arktike-rossiya-islandiya-farerskie-ostrova-literatura-yazyk-kultura). My modest contribution to the conference subject was an analysis of linguistic myths shared by a good deal of authors in Russian and Icelandic studies. Russian and Icelandic (as well as Old Russian and Old Icelandic) both deviate from the Standard Average European and presumably are similar to each other. Shared illusions and wrong statements in Russian and Icelandic studies generally arise due to the fact that linguists like other human beings are prone to mix up correct generalizations with heuristic estimates. An additional reason is that many theory-minded authors (often - native speakers of Russian and Icelandic) are misguided by their intuition and naively believe that if some form or combination of elements is predicted to be well-formed / ill-formed by their theory, it must also be true, since this theory looks so promising. Wrong statements of that ilk are as I argue an instance of the well-known priming effect: the author is enchanted by his (or even worse, someone else' theory) and goes descriptively blind. A more specific message concerning the illustrations I provide is that many interface phenomena (communicative-syntax and/or prosody-syntax interface) cannot be satisfactorily explained in syntagmatic terms (surface linear position) without recourse to syntactic structure and morphosyntactic features. 

Comments.



I have deep respect for the authors of the criticized works. I do not deny the value of their contributions to the linguistic theory, Russian or Icelandic studies. I criticize ideas, not names and expose the myths.



There is a typo on p. 53. The correct dates are 'Moore, Perlmutter 2000' and 'Sigurðsson 2002'. This bug is fixed in the card of this publication, see the “References” section. Both papers are from Natural Language and Linguistic Theory.


The titles of the initial slides revoke some pages from "Der Mann ohne Eigenschaften" and "Animal Farm".
DOI: 10.5281/zenodo.14911182
title: Linguistic Mythology: Russian and Icelandic Languages [Лингвистическая мифология. Русский и Исландский Языки]

description: This is a presentation of my talk given at the international conference on the interaction of the Russian, Icelandic and Faroese culture in the Arctic context (Moscow, Gorky Institute for the World's Literature, 22-23.05.2019 http://imli.ru/index.php/konferentsii/konferentsii-2019/3615-vzaimodejstvie-kultur-v-arktike-rossiya-islandiya-farerskie-ostrova-literatura-yazyk-kultura). My modest contribution to the conference subject was an analysis of linguistic myths shared by a good deal of authors in Russian and Icelandic studies. Russian and Icelandic (as well as Old Russian and Old Icelandic) both deviate from the Standard Average European and presumably are similar to each other. Shared illusions and wrong statements in Russian and Icelandic studies generally arise due to the fact that linguists like other human beings are prone to mix up correct generalizations with heuristic estimates. An additional reason is that many theory-minded authors (often - native speakers of Russian and Icelandic) are misguided by their intuition and naively believe that if some form or combination of elements is predicted to be well-formed / ill-formed by their theory, it must also be true, since this theory looks so promising. Wrong statements of that ilk are as I argue an instance of the well-known priming effect: the author is enchanted by his (or even worse, someone else' theory) and goes descriptively blind. A more specific message concerning the illustrations I provide is that many interface phenomena (communicative-syntax and/or prosody-syntax interface) cannot be satisfactorily explained in syntagmatic terms (surface linear position) without recourse to syntactic structure and morphosyntactic features. 

Comments.



I have deep respect for the authors of the criticized works. I do not deny the value of their contributions to the linguistic theory, Russian or Icelandic studies. I criticize ideas, not names and expose the myths.



There is a typo on p. 53. The correct dates are 'Moore, Perlmutter 2000' and 'Sigurðsson 2002'. This bug is fixed in the card of this publication, see the “References” section. Both papers are from Natural Language and Linguistic Theory.


The titles of the initial slides revoke some pages from "Der Mann ohne Eigenschaften" and "Animal Farm".
DOI: 10.15468/dl.8ptuxm
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Papilionidae",
 "Year 2020-2020"
 ]
}

 The dataset includes 371 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006575-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49825p
title: Occurrence Download

description: A dataset containing 2041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Papilionidae",
 "Year 2024-2024"
 ]
}

 The dataset includes 2041 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006576-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15107797
title: APPLICATION-LEVEL BROADCASTING OF MULTIMEDIA CHANNELS IN FUTURE MOBILE SYSTEMS
DOI: 10.5281/zenodo.15107798
title: APPLICATION-LEVEL BROADCASTING OF MULTIMEDIA CHANNELS IN FUTURE MOBILE SYSTEMS
DOI: 10.15468/dl.cguc96
title: Occurrence Download

description: A dataset containing 112011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((74.64514 18.18565,75.00213 18.18565,75.00213 18.34705,74.64514 18.34705,74.64514 18.18565))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 112011 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006571-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15107801
title: KOGNITIV LINGVISTIKA PRAGMATIK TUSHUNCHALARNING HOSILASI SIFATIDA
DOI: 10.5281/zenodo.15107802
title: KOGNITIV LINGVISTIKA PRAGMATIK TUSHUNCHALARNING HOSILASI SIFATIDA
DOI: 10.5281/zenodo.15107739
title: A Novel Framework for Conflict PreventionData2

description: License : EULA01.md
DOI: 10.5281/zenodo.15107740
title: A Novel Framework for Conflict PreventionData2

description: License : EULA01.md
DOI: 10.15468/dl.vq8wmh
title: Occurrence Download

description: A dataset containing 590324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Accipiter gentilis (Linnaeus, 1758)"
 ]
}

 The dataset includes 590324 records from 1512 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006577-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1184023.10fu
title: SH1184023.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1184024.10fu
title: SH1184024.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1184025.10fu
title: SH1184025.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.