cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7x2j69
title: Occurrence Download

description: A dataset containing 817110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cirsium vulgare (Savi) Ten."
 ]
}

 The dataset includes 817110 records from 3422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024526-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14008005
title: Agrovila - Questionnaire to Consumers
DOI: 10.5281/zenodo.14008006
title: Agrovila - Structure of the Questionnaire to Consumers
DOI: 10.5281/zenodo.14181323
title: Agrovila - Questionnaire to Consumers
DOI: 10.13012/b2idb-8462244_v1
title: Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery

description: This dataset supports the implementation described in the manuscript "Breaking the Barrier of Human-Annotated Training Data for Machine-Learning-Aided Biological Research Using Aerial Imagery." It consists of UAV aerial imagery used to execute the code available at https://github.com/pixelvar79/GAN-Flowering-Detection-paper. For detailed information on dataset usage and instructions on implementing the code to reproduce the study, please refer to the GitHub repository.
DOI: 10.5281/zenodo.12913360
title: 2019_Herbaceous_Wetlands_Copernicus

description: Copernicus global land cover, herbaceous wetlands, 100m, and proportion herbaceous wetland (1km) in 2019. 

Abstract:

Landuse/landcover datasets are provided through the Copernicus climate data service, (Buchhorn, M.; Smets, B.; Bertels, L.; De Roo, B.; Lesiv, M.; Tsendbazar, N.E., Linlin, L., Tarko, A. (2020): Copernicus Global Land Service: Land Cover 100m: Version 3 Globe 2015-2019: Product User Manual; Zenodo, Geneve, Switzerland, September 2020; doi: 10.5281/zenodo.3938963).

This 100m resolution product has been windowed to the MOOD extent (erprobaherbwet100m.tif). and then aggregated to 1km resolution version which contains the proportion of each pixel that is assigned as herbaceous wetland (erprobapropherbwet1km.tif)

 

File naming scheme:  

This 100m resolution product has been windowed to the MOOD extent (erprobaherbwet100m.tif). and then aggregated to 1km resolution version which contains the proportion of each pixel that is assigned as herbaceous wetland (erprobapropherbwet1km.tif)

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent  -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:100-meter and 1000-meter

Temporal resolution:The year 2019

Pixel values: The proportion of each pixel that is assigned as herbaceous wetland

Source: The Copernicus climate data service

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12913361
title: 2019_Herbaceous_Wetlands_Copernicus

description: Copernicus global land cover, herbaceous wetlands, 100m, and proportion herbaceous wetland (1km) in 2019. 

Abstract:

Landuse/landcover datasets are provided through the Copernicus climate data service, (Buchhorn, M.; Smets, B.; Bertels, L.; De Roo, B.; Lesiv, M.; Tsendbazar, N.E., Linlin, L., Tarko, A. (2020): Copernicus Global Land Service: Land Cover 100m: Version 3 Globe 2015-2019: Product User Manual; Zenodo, Geneve, Switzerland, September 2020; doi: 10.5281/zenodo.3938963).

This 100m resolution product has been windowed to the MOOD extent (erprobaherbwet100m.tif). and then aggregated to 1km resolution version which contains the proportion of each pixel that is assigned as herbaceous wetland (erprobapropherbwet1km.tif)

 

File naming scheme:  

This 100m resolution product has been windowed to the MOOD extent (erprobaherbwet100m.tif). and then aggregated to 1km resolution version which contains the proportion of each pixel that is assigned as herbaceous wetland (erprobapropherbwet1km.tif)

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent  -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:100-meter and 1000-meter

Temporal resolution:The year 2019

Pixel values: The proportion of each pixel that is assigned as herbaceous wetland

Source: The Copernicus climate data service

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.14179418
title: 2019_Herbaceous_Wetlands_Copernicus

description: Copernicus global land cover, herbaceous wetlands, 100m, and proportion herbaceous wetland (1km) in 2019. 

Abstract:

Landuse/landcover datasets are provided through the Copernicus climate data service, (Buchhorn, M.; Smets, B.; Bertels, L.; De Roo, B.; Lesiv, M.; Tsendbazar, N.E., Linlin, L., Tarko, A. (2020): Copernicus Global Land Service: Land Cover 100m: Version 3 Globe 2015-2019: Product User Manual; Zenodo, Geneve, Switzerland, September 2020; doi: 10.5281/zenodo.3938963).

This 100m resolution product has been windowed to the MOOD extent (erprobaherbwet100m.tif). and then aggregated to 1km resolution version which contains the proportion of each pixel that is assigned as herbaceous wetland (erprobapropherbwet1km.tif)

 

File naming scheme:  

This 100m resolution product has been windowed to the MOOD extent (erprobaherbwet100m.tif). and then aggregated to 1km resolution version which contains the proportion of each pixel that is assigned as herbaceous wetland (erprobapropherbwet1km.tif)

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent  -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:100-meter and 1000-meter

Temporal resolution:The year 2019

Pixel values: The proportion of each pixel that is assigned as herbaceous wetland

Source: The Copernicus climate data service

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.15468/dl.9gej23
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helarctos malayanus (Raffles, 1822)"
 ]
}

 The dataset includes 83 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020123-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14181339
title: IKKINCHI TARTIBLI PARABOLIK TIPDAGI TENGLAMALAR VA ULAR UCHUN ASOSIY CHEGARAVIY MASALALAR

description: Mazkur o’zgarish  chizig’i xarakteristika bo’lmagan parabola-giperbolik tipdagi tenglamalar uchun  chegaraviy masalalar qaraladi. Mavzuni dolzarbligi shundaki: ikkinchi tartibli xususiy hosilali differensial tenglamalar tabiatda ro‘y bergan fizik, mehanik, biologik va boshqa jaroyonlarni matematik ifodalashda kelgan.
DOI: 10.5281/zenodo.14181340
title: IKKINCHI TARTIBLI PARABOLIK TIPDAGI TENGLAMALAR VA ULAR UCHUN ASOSIY CHEGARAVIY MASALALAR

description: Mazkur o’zgarish  chizig’i xarakteristika bo’lmagan parabola-giperbolik tipdagi tenglamalar uchun  chegaraviy masalalar qaraladi. Mavzuni dolzarbligi shundaki: ikkinchi tartibli xususiy hosilali differensial tenglamalar tabiatda ro‘y bergan fizik, mehanik, biologik va boshqa jaroyonlarni matematik ifodalashda kelgan.
DOI: 10.3886/e132762
title: Data and Code for: The Effects of Parental and Sibling Incarceration: Evidence from Ohio

description: Every year, millions of Americans experience the incarceration of a family member. Using 30 years of administrative data from Ohio and exploiting differing incarceration propensities of randomly assigned judges, this paper provides the first quasi-experimental estimates of the effects of parental and sibling incarceration in the US. Contrary to conventional wisdom, parental incarceration has a net positive effect on some important outcomes for children, reducing their likelihood of incarceration by 4.9 percentage points and improving their adult neighborhood quality. While estimates on academic performance and teen parenthood are imprecise, we reject large positive or negative effects. Sibling incarceration leads to similar reductions in criminal activity.
description: Children of incarcerated parents in Cuyahoga County, Franklin County, and Hamilton County .
DOI: 10.3886/e132762v2-159101
title: Data and Code for: The Effects of Parental and Sibling Incarceration: Evidence from Ohio

description: Every year, millions of Americans experience the incarceration of a family member. Using 30 years of administrative data from Ohio and exploiting differing incarceration propensities of randomly assigned judges, this paper provides the first quasi-experimental estimates of the effects of parental and sibling incarceration in the US. Contrary to conventional wisdom, parental incarceration has a net positive effect on some important outcomes for children, reducing their likelihood of incarceration by 4.9 percentage points and improving their adult neighborhood quality. While estimates on academic performance and teen parenthood are imprecise, we reject large positive or negative effects. Sibling incarceration leads to similar reductions in criminal activity.
description: Children of incarcerated parents in Cuyahoga County, Franklin County, and Hamilton County .
DOI: 10.5281/zenodo.11060018
title: Reference Architecture for Autonomy and Adaptivity in the Space Domain

description: This data extraction worksheet presents the relevant data from the identified studies and provides the selection process in this systematic literature review. The main information reported in this worksheet summarizes the followed protocol, containing an identifier (id) for each returned study. This catalog helped us in the data extraction and synthesis procedures and may be used by potentially interested, for example, for updating or replication.
DOI: 10.15468/dl.zpx67m
title: Occurrence Download

description: A dataset containing 41561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies cephalonica Loudon, Abies cephalonica Link, 1842, Acacia dealbata Link, Acacia dealbata A.Cunn.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 41561 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020124-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11060017
title: Reference Architecture for Autonomy and Adaptivity in the Space Domain

description: File 1 - Protocol SLR - Reference Architecture for autonomous and adaptive space systems.xlsx: This data extraction worksheet presents the relevant data from the identified studies and provides the selection process in this systematic literature review. The main information reported in this worksheet summarizes the followed protocol, containing an identifier (id) for each returned study. This catalog helped us in the data extraction and synthesis procedures and may be used by potentially interested, for example, for updating or replication. 

File 2 - Interview_Guide_Questionnaire.pdf: The questionnaire was used to guide the interviews and also to ensure consistency between responses. It covers key aspects of the proposed reference architecture, such as general applicability, autonomy and adaptability, scalability, and standards compliance. There is also space for interviewers to add comments in each section and at the end of the form.

File 3 - Filled_Questionnaire_Interviewee_1.pdf: The questionnaire answered by the interviewee 1, with the scores and comments.

FIle 4 - Expert 1 Transcription.docx: The transcripts of the interviewee 1. The original language was not English, so we used OpenAI to generate the English version.

File 5 - Filled_Questionnaire_Interviewee_2.pdf: The questionnaire answered by the interviewee 2, with the scores and comments.

FIle 6 - Expert 2 Transcription.docx: The transcripts of the interviewee 2. The original language was not English, so we used OpenAI to generate the English version.

File 7 - Filled_Questionnaire_Interviewee_3.pdf: The questionnaire answered by the interviewee 3, with the scores and comments.

Expert 3 did not authorize us to release the interviews, so we are not sending the transcripts.
DOI: 10.5281/zenodo.14170630
title: Reference Architecture for Autonomy and Adaptivity in the Space Domain

description: File 1 - Protocol SLR - Reference Architecture for autonomous and adaptive space systems.xlsx: This data extraction worksheet presents the relevant data from the identified studies and provides the selection process in this systematic literature review. The main information reported in this worksheet summarizes the followed protocol, containing an identifier (id) for each returned study. This catalog helped us in the data extraction and synthesis procedures and may be used by potentially interested, for example, for updating or replication. 

File 2 - Interview_Guide_Questionnaire.pdf: The questionnaire was used to guide the interviews and also to ensure consistency between responses. It covers key aspects of the proposed reference architecture, such as general applicability, autonomy and adaptability, scalability, and standards compliance. There is also space for interviewers to add comments in each section and at the end of the form.

File 3 - Filled_Questionnaire_Interviewee_1.pdf: The questionnaire answered by the interviewee 1, with the scores and comments.

FIle 4 - Expert 1 Transcription.docx: The transcripts of the interviewee 1. The original language was not English, so we used OpenAI to generate the English version.

File 5 - Filled_Questionnaire_Interviewee_2.pdf: The questionnaire answered by the interviewee 2, with the scores and comments.

FIle 6 - Expert 2 Transcription.docx: The transcripts of the interviewee 2. The original language was not English, so we used OpenAI to generate the English version.

File 7 - Filled_Questionnaire_Interviewee_3.pdf: The questionnaire answered by the interviewee 3, with the scores and comments.

Expert 3 did not authorize us to release the interviews, so we are not sending the transcripts.
DOI: 10.25345/c5kh0fb0t
title: MassIVE MSV000096449 - GNPS - Dataset Creation from GNPS Molcular Networking - 32e8c60be66b4bf9a690f611c7d52cb6
title: Dinitrogen fixation by diazotrophs supports ocean productivity. To identify diazotrophs utilizing DOM, we amended North Pacific microbial communities with 13C-labeled DOM from phytoplankton cultures, containing nitrogen-rich compounds. Through stable isotope probing and metabolic profiling of the dissolved metabolites using UHPLC-HRMS, we observed a community shift from cyanobacterial diazotrophs to non-cyanobacterial diazotrophs, at stations where the N2-fixing haptophyte abundance was relatively low.
DOI: 10.5281/zenodo.13982680
title: STAB paper FLOWlab raw PIV image data

description: Raw PIV image data for the FLOWlab experiments. Data was captured and processed in PIVlab 3.0 (a free Matlab toolbox). Data can be processed with every PIV software. The files contain calibration images, and information about the laser pulse separation (in the files "acquisition_log.txt" in the column "pulse_sep"). This information can be used to convert velocities and scales to metric units.

Data was captured by OPTOLUTION (cylinder, empty channel, flat plate) and Fachhochschule Kiel (NACA0015) in the FLOWlab with a 500 mW LD-PS and the OPTOcam 2/80 by OPTOLUTION.

https://optolution.com/en/products/particle-image-velocimetry-piv/flowlab/
DOI: 10.5281/zenodo.13982681
title: STAB paper FLOWlab raw PIV image data

description: Raw PIV image data for the FLOWlab experiments. Data was captured and processed in PIVlab 3.0 (a free Matlab toolbox). Data can be processed with every PIV software. The files contain calibration images, and information about the laser pulse separation (in the files "acquisition_log.txt" in the column "pulse_sep"). This information can be used to convert velocities and scales to metric units.

Data was captured by OPTOLUTION (cylinder, empty channel, flat plate) and Fachhochschule Kiel (NACA0015) in the FLOWlab with a 500 mW LD-PS and the OPTOcam 2/80 by OPTOLUTION.

https://optolution.com/en/products/particle-image-velocimetry-piv/flowlab/
DOI: 10.5281/zenodo.14179221
title: Supplementary Data for ICLR
DOI: 10.5281/zenodo.14179222
title: Supplementary Data for ICLR
DOI: 10.57745/6cmbbz
title: dataset_generator_multithread.py
DOI: 10.57745/jivvx6
title: data_utils.py
DOI: 10.57745/kjnhki
title: generator.py
DOI: 10.57745/oi8piz
title: data_individual_images.zip

description: :unav
DOI: 10.57745/jrh2tb
title: utils.py
DOI: 10.57745/jssuog
title: synt_environment.yml
DOI: 10.57745/kuagyz
title: variables.py
DOI: 10.57745/nszouy
title: ref_img.jpg
DOI: 10.57745/obhiqm
title: image_utils.py
DOI: 10.57745/tf3gcj
title: var.yaml
DOI: 10.57745/u78ldo
title: README.md
DOI: 10.57745/y06cap
title: model_id_map.tab
DOI: 10.5281/zenodo.14181362
title: CHANGES IN THE ORAL CAVITY CAUSED BY IODINE DEFICIENCY
DOI: 10.5281/zenodo.14181363
title: CHANGES IN THE ORAL CAVITY CAUSED BY IODINE DEFICIENCY
DOI: 10.3886/e211342v1
title: AI adoption and the innovation of Chinese hidden champion firms: From the perspective of dynamic capabilities

description: As the underlying technology of the latest round of scientific and technological revolution and industrial transformation, artificial intelligence has been widely integrated into various fields of economic and social development, greatly promoting rapid development, extensive radiation and comprehensive penetration of the digital economy and bringing unprecedented opportunities and challenges to numerous Chinese hidden champion firms. By constructing panel data of 547 Chinese hidden champion listed companies in the A-share market from 2016--2022 and using the fixed effect model, the impact of AI adoption on corporate innovation performance and the mediating role of dynamic capabilities have been empirically tested. Moreover, by introducing managerial autonomy as a key contextual factor, the moderating role of managerial autonomy in the corporate innovation process has been explored. The research findings are as follows: (1) AI adoption can significantly promote innovation performance; (2) innovative capability, absorptive capacity and absorptive capacity play partial mediating roles between AI adoption and innovation performance; and (3) organizational autonomy and individual autonomy within managerial autonomy significantly moderate the promoting effect of AI adoption on dynamic capabilities. Robustness tests further support the above findings and reveal the time lag of the impact of AI adoption on innovation performance. In this way, it provides novel empirical evidence for further understanding the relationship between AI adoption and corporate innovation performance and offers both theoretical references and practical implications for accelerating the adoption of AI by many SMEs.
DOI: 10.15468/dl.vspxq5
title: Occurrence Download

description: A dataset containing 3041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Allium ericetorum Thore, Asphodeline liburnica (Scop.) Rchb., Asyneuma limonifolium (L.) Janch., Asyneuma limoniifolium (L.) Bornm., 1921, Asyneuma linifolium (Boiss. & Heldr.) Bornm., Athamanta ramosissima Port., Athamanta ramosissima Link & Hoffmanns., Athamanta ramosissima Port. ex Spreng., 1820, Athamantha ramosissima Port., Athamantha ramosissima Port. ex Spreng., Aurinia sinuata (L.) Griseb., Atrina sinuata T.R.Waller, 2005)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 3041 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020126-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f44xd3
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rusa unicolor (Kerr, 1792)"
 ]
}

 The dataset includes 455 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020128-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14181379
title: OPTIMIZATION OF DIAGNOSTIC AND THERAPEUTIC METHODS FOR OBSTRUCTIVE BRONCHITIS IN CHILDREN WITH ALLERGIC DISEASES
DOI: 10.5281/zenodo.14181380
title: OPTIMIZATION OF DIAGNOSTIC AND THERAPEUTIC METHODS FOR OBSTRUCTIVE BRONCHITIS IN CHILDREN WITH ALLERGIC DISEASES
DOI: 10.15468/dl.dbvct8
title: Occurrence Download

description: A dataset containing 2426 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uroteuthis Rehder, 1945"
 ]
}

 The dataset includes 2426 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020130-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw74ds
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "DatasetKey is Museum of Comparative Zoology, Harvard University",
 "GadmGid is one of (USA.39_1, USA.39.20_1)",
 "Geometry POLYGON((-80.57397 40.88636,-79.17023 40.88636,-79.17023 41.7588,-80.57397 41.7588,-80.57397 40.88636))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hyattechinus pentagonus Jackson, 1912"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020131-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4x3b2
title: Occurrence Download

description: A dataset containing 19642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Aloe L."
 ]
}

 The dataset includes 19642 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020127-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13839513
title: Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke: Data

description: Supplemental data of the paper: Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke.

This dataset contains the individual raw data for healthy (H) and stroke (S) subjects.
DOI: 10.5281/zenodo.13839512
title: Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke: Data

description: Supplemental data of the paper: Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke.

This dataset contains the individual raw data for healthy (H) and stroke (S) subjects.