cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.98hgqg
title: Occurrence Download

description: A dataset containing 2054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Rwanda",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 2054 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010789-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14008250
title: BACHADON BO'YNI ANATOMIYASI FIZIOLOGIYASI
DOI: 10.5281/zenodo.14008251
title: BACHADON BO'YNI ANATOMIYASI FIZIOLOGIYASI
DOI: 10.5281/zenodo.14008054
title: 【outputs_best_number_tokens_to_span_vectors_large_scales】/best_number_tokens_log_part_11 (3), only two 8B LLMs, 30 (span_vectors) = 30 files

description: Part 11 (3)  

only two 8B LLMs,  

only valid results (both MP p value and CI),

all permutation controls,

all seeds,

all linguistic spans,

all 5 tasks, 

30 (span_vectors) = 30 files
DOI: 10.5281/zenodo.14008055
title: 【outputs_best_number_tokens_to_span_vectors_large_scales】/best_number_tokens_log_part_11 (3), only two 8B LLMs, 30 (span_vectors) = 30 files

description: Part 11 (3)  

only two 8B LLMs,  

only valid results (both MP p value and CI),

all permutation controls,

all seeds,

all linguistic spans,

all 5 tasks, 

30 (span_vectors) = 30 files
DOI: 10.15468/dl.v6qc5w
title: Occurrence Download

description: A dataset containing 22895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 22895 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010790-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he2yqc
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucaena pallida Britton & Rose",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 236 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010791-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17029/2352a4f8-3675-4def-ad75-c1b00901975d
title: HWI and T2DM vascular and cardiac function

description: Data set in SPSS for HWI and T2DM vascular and cardiac function study.
DOI: 10.15468/dl.urkbp4
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, France)",
 "DatasetKey is Rapportage 2013-2018 au titre de la directive Habitats-Faune-Flore - Données de synthèse Espèces issues du rapportage au titre de la directive Habitats - période 2013-2018",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx (Linnaeus, 1758)"
 ]
}

 The dataset includes 189 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010792-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vnwre
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucaena involucrata Zárate",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010793-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14003872
title: Hybridisation in Primates: Cryptic Admixture and Adaptive Introgression Appendix A Materials

description: This dataset includes supporting tables and figures for my PhD thesis at the University of Toronto, entitled "Hybridisation in Primates: Cryptic Admixture and Adaptive Introgression" in partial fulfillment of the degree requires for the Department of Anthropology (Evolutionary Anthropology). The data contains Tables A1-A7, high resolution images for Figures 2.1-2.4 and supporting figures A1-A16 that are described in chapter 2 and in Appendix A.
DOI: 10.5281/zenodo.14003873
title: Hybridisation in Primates: Cryptic Admixture and Adaptive Introgression Appendix A Materials

description: This dataset includes supporting tables and figures for my PhD thesis at the University of Toronto, entitled "Hybridisation in Primates: Cryptic Admixture and Adaptive Introgression" in partial fulfillment of the degree requires for the Department of Anthropology (Evolutionary Anthropology). The data contains Tables A1-A7, high resolution images for Figures 2.1-2.4 and supporting figures A1-A16 that are described in chapter 2 and in Appendix A.
DOI: 10.15468/dl.wbzsrr
title: Occurrence Download

description: A dataset containing 1367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malawi",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 1367 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010794-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4szegj
title: Occurrence Download

description: A dataset containing 1104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serjania racemosa Schum."
 ]
}

 The dataset includes 1104 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010795-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48320/0578d7fe-35f7-4e9e-a29d-926618a5c6bd
title: Russian state institutions full-text datasets
DOI: 10.5281/zenodo.13960887
title: SERENA EJPSOIL NL SOILSEALING SEALINGDEGREE

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of soil sealing of the Netherlands for the year 2022 (compared to 2021). The map is the result of applying the Soil Sealing cookbook developed in SERENA/EJP-Soil. It is based on multitemporal satellite images (a combination of Sentinel 1 & 2 sattelite images). The methodology uses vegetation (Sentinel 1) and backscatter (Sentinel 2) indices calculated over time series of images. The final map has 10 m spatial resolution and is classified according to the following:

1. Possible changes identified by both Sentinel-1 and Sentinel-2 methodologies (very probable changes)2. Possible changes identified by Sentinel-1 methodology3. Possible changes identified by Sentinel-2 methodology4. Possible changes identified by Sentinel-2 methodology with shift period (less probable)
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

•It is the result of a modelling exercise and does not necessarily reflect reality.

•Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge . 

•It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

•These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 

==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.13960888
title: SERENA EJPSOIL NL SOILSEALING SEALINGDEGREE

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of soil sealing of the Netherlands for the year 2022 (compared to 2021). The map is the result of applying the Soil Sealing cookbook developed in SERENA/EJP-Soil. It is based on multitemporal satellite images (a combination of Sentinel 1 & 2 sattelite images). The methodology uses vegetation (Sentinel 1) and backscatter (Sentinel 2) indices calculated over time series of images. The final map has 10 m spatial resolution and is classified according to the following:

1. Possible changes identified by both Sentinel-1 and Sentinel-2 methodologies (very probable changes)2. Possible changes identified by Sentinel-1 methodology3. Possible changes identified by Sentinel-2 methodology4. Possible changes identified by Sentinel-2 methodology with shift period (less probable)
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

•It is the result of a modelling exercise and does not necessarily reflect reality.

•Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge . 

•It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

•These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 

==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.15468/dl.avum5v
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melampodium pringlei B.L.Rob.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010797-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dupnjf
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mali",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 263 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010796-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14008270
title: СУРУНКАЛИ ЮРАК ЕТИШМОВЧИЛИГИ ДЕКОМПЕНСАЦИЯСИНИ КОМПЛЕКС ДАВОЛАШНИ ТАКОМИЛЛАШТИРИШ
DOI: 10.5281/zenodo.14008271
title: СУРУНКАЛИ ЮРАК ЕТИШМОВЧИЛИГИ ДЕКОМПЕНСАЦИЯСИНИ КОМПЛЕКС ДАВОЛАШНИ ТАКОМИЛЛАШТИРИШ
DOI: 10.5281/zenodo.13960816
title: SERENA EJPSOIL NL GHG NEP

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of greenhouse gas emissions, measured in net ecosystem productivity. The map is the result of applying the GHG cookbook developed in SERENA/EJP-Soil. It is based on GPP products derived from the MODIS algorithm in 2014, combined with soil moisture and temperature data. The final map includes 45 bands with the NEP values (in g C/m2) of each 8-day period between 2-1-2014 and 31-12-2014. The map has a 500 m spatial resolution.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

•It is the result of a modelling exercise and does not necessarily reflect reality.

•Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge . 

•It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

•These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 

==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.13960817
title: SERENA EJPSOIL NL GHG NEP

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of greenhouse gas emissions, measured in net ecosystem productivity. The map is the result of applying the GHG cookbook developed in SERENA/EJP-Soil. It is based on GPP products derived from the MODIS algorithm in 2014, combined with soil moisture and temperature data. The final map includes 45 bands with the NEP values (in g C/m2) of each 8-day period between 2-1-2014 and 31-12-2014. The map has a 500 m spatial resolution.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

•It is the result of a modelling exercise and does not necessarily reflect reality.

•Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge . 

•It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

•These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 

==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.13951679
title: SERENA EJPSOIL NL EROSION SOILLOSS

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of potential soil loss (Mg/ha/yr) due to erosion risk. The map is the result of applying the Erosion cookbook developed in SERENA/EJP-Soil. The map is created by calculating the erosion factor by the RUSLE model and has 25 m spatial resolution.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:






It is the result of a modelling exercise and does not necessarily reflect reality.




Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge . 




It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.




These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 





==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.13951680
title: SERENA EJPSOIL NL EROSION SOILLOSS

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of potential soil loss (Mg/ha/yr) due to erosion risk. The map is the result of applying the Erosion cookbook developed in SERENA/EJP-Soil. The map is created by calculating the erosion factor by the RUSLE model and has 25 m spatial resolution.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:






It is the result of a modelling exercise and does not necessarily reflect reality.




Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge . 




It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.




These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 





==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.60629/k601-3624
title: Długotrwałe relacje Masajów i białych kobiet, 2023, Wiejaczka Elżbieta 
title: Long-term relationships between Maasai men and white women, 2023, Wiejaczka Elżbieta

description: W pliku znajdują się fragmenty notatek terenowych i wywiadów prowadzonych podczas badań terenowych w 2023 roku w ramach projektu „Turystyka i migracje małżeńskie w postkolonialnym świecie. Antropologiczne studium długotrwałych intymnych relacji Masajów i Europejek”, nr 2021/41/N/HS3/02208, finansowanego w całości przez Narodowe Centrum Nauki. 
description: The file contains fragments of field notes and interviews conducted during fieldwork in 2023 as part of the project “Tourism and marriage migrations in a postcolonial world. Anthropological study of Maasai-European long-term intimate relationships”, no. 2021/41/N/HS3/02208, research funded in whole by the National Science Centre, Poland.
DOI: 10.15468/dl.z4d6fw
title: Occurrence Download

description: A dataset containing 846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melampodium sericeum Lag.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 846 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010799-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3trrq
title: Occurrence Download

description: A dataset containing 1584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Odocoileus hemionus (Rafinesque, 1817)"
 ]
}

 The dataset includes 1584 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010801-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuwpqe
title: Occurrence Download

description: A dataset containing 6418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mauritania",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 6418 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010800-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.