cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7017094
title: Marfan Syndrome is not Associated With a High Prevalence of Intracranial Aneurysms

description: This file contains the data for the paper " Marfan Syndrome is not Associated With a High Prevalence of Intracranial Aneurysms"
DOI: 10.5281/zenodo.7017093
title: Marfan Syndrome is not Associated With a High Prevalence of Intracranial Aneurysms

description: This file contains the data for the paper " Marfan Syndrome is not Associated With a High Prevalence of Intracranial Aneurysms"
DOI: 10.6084/m9.figshare.20559096
title: raw data EGG WHITE AMPs and STEROIDS

description: Raw data acompaying manuscript submitted to the Current Zoology 23 August 2022.
DOI: 10.6084/m9.figshare.20559096.v1
title: raw data EGG WHITE AMPs and STEROIDS

description: Raw data acompaying manuscript submitted to the Current Zoology 23 August 2022.
DOI: 10.34740/kaggle/dsv/4112061
title: Mahanagar Yatayat Dataset
DOI: 10.5287/bodleian:ornx46kjm
title: Computational supplementary material to the thesis "Synthesis and Reactivity of [3.1.1]Propellane"
DOI: 10.5519/qd.0l9azneo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (204 records)
DOI: 10.5281/zenodo.6577805
title: Wildlife trade targets colourful birds and threatens the aesthetic value of nature

description: Data to support findings of the paper "Wildlife trade targets colourful birds and threatens the aesthetic value of nature". Code available on GitHub and also the related Zenodo entry at DOI:10.5281/zenodo.6577817
DOI: 10.5281/zenodo.6577804
title: Wildlife trade targets colourful birds and threatens the aesthetic value of nature

description: Data to support findings of the paper "Wildlife trade targets colourful birds and threatens the aesthetic value of nature". Code available on GitHub and also the related Zenodo entry at DOI:10.5281/zenodo.6577817
DOI: 10.6084/m9.figshare.8963966
title: General_Read_Me.txtISFM Malawi

description: Read me file for ISFM Malawi project
DOI: 10.6084/m9.figshare.8963966.v2
title: General_Read_Me.txtISFM Malawi

description: Read me file for ISFM Malawi project
DOI: 10.25574/03368
title: Chandra X-ray Observatory ObsId 3368

description: ACIS DARK CURRENT CALIBARTION ON DARK MOON
DOI: 10.25574/03370
title: Chandra X-ray Observatory ObsId 3370

description: ACIS DARK CURRENT CALIBARTION ON DARK MOON
DOI: 10.25574/03371
title: Chandra X-ray Observatory ObsId 3371

description: ACIS DARK CURRENT CALIBARTION ON DARK MOON
DOI: 10.25574/03400
title: Chandra X-ray Observatory ObsId 3400

description: BLACK HOLE X-RAY TRANSIENTS DURING OUTBURST DECAY
DOI: 10.25574/03401
title: Chandra X-ray Observatory ObsId 3401

description: BLACK HOLE X-RAY TRANSIENTS DURING OUTBURST DECAY
DOI: 10.25574/03402
title: Chandra X-ray Observatory ObsId 3402

description: A HIGH RESOLUTION SPECTROSCOPIC OBSERVATION OF CAL 83
DOI: 10.25574/03403
title: Chandra X-ray Observatory ObsId 3403

description: TORTURED CORONAE IN THE RAPID BRAKING ZONE
DOI: 10.25574/03405
title: Chandra X-ray Observatory ObsId 3405

description: ASTEROID OBSERVATION
DOI: 10.25574/03406
title: Chandra X-ray Observatory ObsId 3406

description: ASTEROID OBSERVATION
DOI: 10.25574/03407
title: Chandra X-ray Observatory ObsId 3407

description: CYGNUS X-1 IN THE HIGH STATE
DOI: 10.25574/03410
title: Chandra X-ray Observatory ObsId 3410

description: TORTURED CORONAE IN THE RAPID BRAKING ZONE
DOI: 10.25574/03411
title: Chandra X-ray Observatory ObsId 3411

description: X-RAY OBSERVATIONS OF THE FIRST COUNTERPART TO A FAST X-RAY TRANSIENT, XRF010930
DOI: 10.25574/03412
title: Chandra X-ray Observatory ObsId 3412

description: X-RAY OBSERVATIONS OF THE FIRST COUNTERPART TO A FAST X-RAY TRANSIENT, XRF010930
DOI: 10.25574/03414
title: Chandra X-ray Observatory ObsId 3414

description: ACIS-S LOW ENERGY SPECTROSCOPY AND PHOTOMETRIC IMAGING OF CHARGE EXCHANGE X-RAY EMISSION FROM COMET C/LINEAR WM1 (2000)
DOI: 10.25574/03415
title: Chandra X-ray Observatory ObsId 3415

description: ACIS-S LOW ENERGY SPECTROSCOPY AND PHOTOMETRIC IMAGING OF CHARGE EXCHANGE X-RAY EMISSION FROM COMET C/LINEAR WM1 (2000)
DOI: 10.25574/03416
title: Chandra X-ray Observatory ObsId 3416

description: ACIS-S LOW ENERGY SPECTROSCOPY AND PHOTOMETRIC IMAGING OF CHARGE EXCHANGE X-RAY EMISSION FROM COMET C/LINEAR WM1 (2000)
DOI: 10.25574/03417
title: Chandra X-ray Observatory ObsId 3417

description: PROBING UNIFICATION WITH ACIS-HETG OBSERVATION OF COMPTON-THIN SEYFERT 2 NGC 2110
DOI: 10.25574/03418
title: Chandra X-ray Observatory ObsId 3418

description: PROBING UNIFICATION WITH ACIS-HETG OBSERVATION OF COMPTON-THIN SEYFERT 2 NGC 2110
DOI: 10.6084/m9.figshare.13348394
title: Solvent-free Synthesis and DFT Studies on Mechanistic Pathway of 4-Aryl-4,10-Dihydroindeno[1,2-<i>b</i>]Pyrazolo[4,3-<i>e</i>]Pyridin-5(<i>1H</i>)-ones

description: A novel, efficient, and grind stone procedure for the synthesis of pyrazolo[4,3-<i>e</i>]pyridine compounds at room temperature was reported. This methodology offers several advantages such as mild conditions, excellent yields, simple procedure, and reduced environmental consequences. The structures of synthesized 4-Aryl-4,10-dihydroindeno[1,2-<i>b</i>]pyrazolo[4,3-<i>e</i>]pyridin-5(1<i>H</i>)-ones were confirmed by <sup>1</sup>H, <sup>13</sup>C NMR, and FTIR spectral data and elemental analyses. The one-pot three-component condensation of various benzaldehydes, indandione, and 3-amino-5-methylpyrazole was investigated at the B3LYP/6-311G** level to explore the reaction mechanism as a theoretical study. All of routes were studied, structure of intermediates was optimized, and all of respective transition states were found. The calculation results proved that the proposed mechanism consists of four intermediates.
DOI: 10.25574/03433
title: Chandra X-ray Observatory ObsId 3433

description: PROBING THE CIRCUMSTELLAR MATERIAL IN GX 301-2
DOI: 10.25574/03447
title: Chandra X-ray Observatory ObsId 3447

description: SPECTROSCOPIC IMAGING OF CHARGE EXCHANGE X-RAY EMISSION FROM COMET C/2002 C1
DOI: 10.25574/03452
title: Chandra X-ray Observatory ObsId 3452

description: CHANDRA HETG OBSERVATION OF THE SEYFERT 2 GALAXY IRAS 18325-5926
DOI: 10.25574/03453
title: Chandra X-ray Observatory ObsId 3453

description: SPECTROSCOPIC IMAGING OF CHARGE EXCHANGE X-RAY EMISSION FROM COMET C/2002 C1
DOI: 10.25574/03454
title: Chandra X-ray Observatory ObsId 3454

description: CHANDRA HETG SPECTROSCOPY OF GK PER IN OUTBURST
DOI: 10.25574/03455
title: Chandra X-ray Observatory ObsId 3455

description: CHANDRA HETG SPECTROSCOPY OF GK PER IN OUTBURST
DOI: 10.25574/03456
title: Chandra X-ray Observatory ObsId 3456

description: MEASURING THE QE MAP FOR HETG/ACIS-S OBSERVATION AT DIFFERENT SIM_Z OFFSETS
DOI: 10.25574/03457
title: Chandra X-ray Observatory ObsId 3457

description: MEASURING THE QE MAP FOR HETG/ACIS-S OBSERVATION AT DIFFERENT SIM_Z OFFSETS
DOI: 10.25574/03462
title: Chandra X-ray Observatory ObsId 3462

description: A FAINT NEUTRON STAR SOFT X-RAY TRANSIENT RETURNING TO QUIESCENCE
DOI: 10.25574/03463
title: Chandra X-ray Observatory ObsId 3463

description: A FAINT NEUTRON STAR SOFT X-RAY TRANSIENT RETURNING TO QUIESCENCE
DOI: 10.25574/03464
title: Chandra X-ray Observatory ObsId 3464

description: A FAINT NEUTRON STAR SOFT X-RAY TRANSIENT RETURNING TO QUIESCENCE
DOI: 10.25574/03471
title: Chandra X-ray Observatory ObsId 3471

description: A TALE OF TWO G STARS
DOI: 10.25574/03472
title: Chandra X-ray Observatory ObsId 3472

description: PROBING THE INTERGALACTIC MEDIUM AT LOW REDSHIFT
DOI: 10.25574/03475
title: Chandra X-ray Observatory ObsId 3475

description: A FAINT NEUTRON STAR SOFT X-RAY TRANSIENT RETURNING TO QUIESCENCE
DOI: 10.25574/03478
title: Chandra X-ray Observatory ObsId 3478

description: CHANDRA GRATING SPECTROSCOPY OF DWARF NOVAE
DOI: 10.25574/03479
title: Chandra X-ray Observatory ObsId 3479

description: SUPPLEMENTAL CALIBRATION OBSERVATIONS OF CAPELLA
DOI: 10.25574/03480
title: Chandra X-ray Observatory ObsId 3480

description: REVEALING THE NATURE OF THE X-RAY ABSORPTION IN NGC 4151
DOI: 10.25574/03483
title: Chandra X-ray Observatory ObsId 3483

description: OBSERVATIONS OF THE NEWLY DISCOVERED MILLISECOND ACCRETING PULSAR XTE J1751-305
DOI: 10.25574/03491
title: Chandra X-ray Observatory ObsId 3491

description: HIGH-RESOLUTION SPECTRA OF T TAURI STARS
DOI: 10.6084/m9.figshare.20559813
title: Questionnaires and data instrument ISFM Malawi

description: These are the baseline, midline and endline questionnaires of the social science component of the project ISFM Malawi. The data are available in seperate folders. Project reports provide background information on the project.
DOI: 10.34740/kaggle/dsv/4111942
title: SunquakeNet
DOI: 10.5066/p93t2lul
title: Imagery and meteorological data from April 2021 to December 2021, Grand Falls Dune Field, Arizona

description: Grand Falls dune field (GFDF) is located on the Navajo Nation, ~70 km NE of Flagstaff, AZ. This active dune field displays a range of morphologies, including barchans, smaller dunes, and ripples, and is bimodal in composition. The felsic component is likely derived from the Little Colorado River, and the mafic component (basaltic grains) is locally sourced from nearby cinder cones [1]. GFDF is an excellent analog site for both active dunes on Mars and other planetary bodies that have dune-like features (e.g., Venus and Titan). We have set up a meteorological station within the dune field that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes [...]
DOI: 10.34740/kaggle/dsv/4112216
title: Elon Musk Tweets
DOI: 10.48366/r212408
title: Study of the expansion of urban space using the CART method

description: Changes in land use and urban development are an important factor in the study of urban expansion. Machine learning classifiers are increasingly being developed for land-use and land-cover (LULC) mapping, especially urban space. This comparison shows CART, a simple binary decision tree classifier that recursively splits nodes until a predefined threshold value is reached, was used in global LULC mapping. The classification accuracy and fast performance of CART make it one of the widely used LULC classifiers, as demonstrated in this comparison
DOI: 10.5281/zenodo.7005252
title: 4 image lysozyme dataset recorded on the Jungfrau 16M detector at SwissFEL and formatted as a NeXus file

description: This is a 4 image lysozyme datasets derived from https://doi.org/10.5281/zenodo.3352357. The specific 4 images are able to be processed by the software package DIALS using commands in the linked dataset above. The images were rounded to integer and compressed to save file space using this script: <pre><code class="language-python">import shutil, h5py import numpy as np shutil.copyfile('../lyso009a_0087.JF07T32V01_master.h5', 'lyso009a_0087.JF07T32V01_master_4img.h5') h5 = h5py.File('lyso009a_0087.JF07T32V01_master_4img.h5', 'r+') data = h5["entry/data/data"][()] del h5["entry/data/data"] h = h5["entry/data"] subset = data[5:9].astype(np.int32) h.create_dataset("data", subset.shape, subset.dtype, subset, compression="gzip", compression_opts=9) h5.close()</code></pre>
description: {"references": ["Bernstein HJ et. al (2020). \"Gold Standard for macromolecular crystallography diffraction data.\" IUCrJ 7, 784-792."]}
DOI: 10.5281/zenodo.7005251
title: 4 image lysozyme dataset recorded on the Jungfrau 16M detector at SwissFEL and formatted as a NeXus file

description: This is a 4 image lysozyme datasets derived from https://doi.org/10.5281/zenodo.3352357. The specific 4 images are able to be processed by the software package DIALS using commands in the linked dataset above. The images were rounded to integer and compressed to save file space using this script: <pre><code class="language-python">import shutil, h5py import numpy as np shutil.copyfile('../lyso009a_0087.JF07T32V01_master.h5', 'lyso009a_0087.JF07T32V01_master_4img.h5') h5 = h5py.File('lyso009a_0087.JF07T32V01_master_4img.h5', 'r+') data = h5["entry/data/data"][()] del h5["entry/data/data"] h = h5["entry/data"] subset = data[5:9].astype(np.int32) h.create_dataset("data", subset.shape, subset.dtype, subset, compression="gzip", compression_opts=9) h5.close()</code></pre> The .expt file was created by dials.import and is useful for regression testing in DIALS.
description: {"references": ["Bernstein HJ et. al (2020). \"Gold Standard for macromolecular crystallography diffraction data.\" IUCrJ 7, 784-792."]}
DOI: 10.5281/zenodo.7011333
title: 4 image lysozyme dataset recorded on the Jungfrau 16M detector at SwissFEL and formatted as a NeXus file

description: This is a 4 image lysozyme datasets derived from https://doi.org/10.5281/zenodo.3352357. The specific 4 images are able to be processed by the software package DIALS using commands in the linked dataset above. The images were rounded to integer and compressed to save file space using this script: <pre><code class="language-python">import shutil, h5py import numpy as np shutil.copyfile('../lyso009a_0087.JF07T32V01_master.h5', 'lyso009a_0087.JF07T32V01_master_4img.h5') h5 = h5py.File('lyso009a_0087.JF07T32V01_master_4img.h5', 'r+') data = h5["entry/data/data"][()] del h5["entry/data/data"] h = h5["entry/data"] subset = data[5:9].astype(np.int32) h.create_dataset("data", subset.shape, subset.dtype, subset, compression="gzip", compression_opts=9) h5.close()</code></pre> The .expt file was created by dials.import and is useful for regression testing in DIALS.
description: {"references": ["Bernstein HJ et. al (2020). \"Gold Standard for macromolecular crystallography diffraction data.\" IUCrJ 7, 784-792."]}
DOI: 10.5281/zenodo.7017221
title: 4 image lysozyme dataset recorded on the Jungfrau 16M detector at SwissFEL and formatted as a NeXus file

description: This is a 4 image lysozyme datasets derived from https://doi.org/10.5281/zenodo.3352357. The specific 4 images are able to be processed by the software package DIALS using commands in the linked dataset above. The images were rounded to integer and compressed to save file space using this script: <pre><code class="language-python">import shutil, h5py import numpy as np shutil.copyfile('../lyso009a_0087.JF07T32V01_master.h5', 'lyso009a_0087.JF07T32V01_master_4img.h5') h5 = h5py.File('lyso009a_0087.JF07T32V01_master_4img.h5', 'r+') data = h5["entry/data/data"][()] del h5["entry/data/data"] h = h5["entry/data"] subset = data[5:9].astype(np.int32) h.create_dataset("data", subset.shape, subset.dtype, subset, compression="gzip", compression_opts=9) h5.close()</code></pre> The .expt file was created by dials.import and is useful for regression testing in DIALS.
description: {"references": ["Bernstein HJ et. al (2020). \"Gold Standard for macromolecular crystallography diffraction data.\" IUCrJ 7, 784-792."]}
DOI: 10.5281/zenodo.7016916
title: MALPRACTICE: Quantification of Protein Dynamics by Solid-State NMR in the Presence of Paramagnetic Dopants Dataset

description: Supporting data, scripts, and source code to go with the paper manuscript.
DOI: 10.5281/zenodo.7016915
title: MALPRACTICE: Quantification of Protein Dynamics by Solid-State NMR in the Presence of Paramagnetic Dopants Dataset

description: Supporting data, scripts, and source code to go with the paper manuscript.
DOI: 10.5517/ccdc.csd.cc29w4p1
title: CCDC 2141253: Experimental Crystal Structure Determination

description: Related Article: Satbir Mor, Mohini Khatri, Ravinder Punia, Deepak Kumar, Deepak Kumar Jindal, Biswarup Basu, Komal Jakhar|2022|J.Mol.Struct.|1269|133858|doi:10.1016/j.molstruc.2022.133858
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b5px4
title: CCDC 2150436: Experimental Crystal Structure Determination

description: Related Article: Jaehee Kim, Areum Park, Jieon Hwang, Xianghua Zhao, Jaesung Kwak, Hyun-Woo Kim, Minhee Ku, Jaemoon Yang, Tae Il Kim, Kyu-Sung Jeong, Uyeoung Choi, Hyuk Lee, Sang Joon Shin|2022|Cell Rep.|40|111077|doi:10.1016/j.celrep.2022.111077
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20560017.v1
title: COVID-19 data_Myanmar_3rd wave_anonymous.xlsx

description: COVID-19 data during third wave in Myanmar
DOI: 10.6084/m9.figshare.20559783
title: Global Data Sets of Vegetation Leaf Area Index (LAI)3g

description: A neural network algorithm was first developed between the new improved third generation Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) and best-quality Terra Moderate Resolution Imaging Spectroradiometer (MODIS) LAI products for the overlapping period 2000–2009. The trained neural network algorithm was then used to generate corresponding LAI3g and FPAR3g data sets with the following attributes: monthly temporal frequency, 0.5 degree spatial resolution and temporal span of July 1981 to December 2011.
DOI: 10.5066/p98sed0j
title: Airborne electromagnetic and magnetic survey data of the San Juan-Silverton Caldera complex, Silverton, Colorado, 2019

description: Airborne electromagnetic (AEM) and magnetic survey data were collected during April and May 2019 along 1,467 line-kilometers in the San Juan-Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field. Data were acquired by Geotech, Ltd. with the versatile time-domain electromagnetic (VTEM) system together with a Geometrics optically pumped cesium vapor magnetometer. The survey was flown at a mean flight height of 140 meters (m) above terrain in various line directions and line spacings ranging from 150 m to 600 m. Multiple variable-spaced lines were flown along rivers and streams in the survey area. USGS provided the contractor with the San Juan National Forest Lidar Point Cloud elevation dataset imported from the USGS National MAP 3D Elevation Program (U.S. Geological Survey, 2019). Minimally processed data from production flights are provided and described in the data dictionary and contractor's report. The complete data package received from the contractor is included in a separate zip-file directory and described in the contractor's report. This data release provides minimally processed data only as provided by the contractor. Reference: U.S. Geological Survey, The National Map, 2019, 3DEP products and services: The National Map, 3D Elevation Program Web page, accessed April 2019 at https://nationalmap.gov/3DEP/3dep_prodserv.html
DOI: 10.5281/zenodo.7009590
title: Supplementary Materials for "Food security in Roman Palmyra (Syria) in light of paleoclimatological evidence and its historical implications"

description: Contained here are the SI files for the article "Food security in Roman Palmyra (Syria) in light of paleoclimatological evidence and its historical implications". With all the materials contained here, as well as the openly accessible datasets cited in S1_File, every step of the study can be reproduced. Detailed instructions are contained within. Includes code for Data Analysis. Article DOI: [forthcoming]
description: This article has been funded by the following grants (initials of the receiving authors in brackets): - Circular Economy and Urban Sustainability in Antiquity: The Case of Palmyra, Carlsbergfondet (The Carlsberg Foundation, https://www.carlsbergfondet.dk/en), grant no. CF19-0061. (RR) - Circular Economy and Urban Sustainability in Antiquity: The Case of Palmyra, Augustinus Fonden (The Augustinus Foundation, https://augustinusfonden.dk/), grant no. 19-3548. (RR) - Palmyra Portrait Project, Carlsbergfondet (The Carlsberg Foundation, https://www.carlsbergfondet.dk/en), grant no. CF15-0493. (RR) - Centre for Urban Network Evolutions (UrbNet), Danmarks Grundforskningsfond (The Danish National Research Foundation, https://dg.dk/en/), grant no. DNRF-119. (RR). - European Union's Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Actions (https://marie-sklodowska-curie-actions.ec.europa.eu/), grant agreement no. 754513 (IR) - Aarhus Universitets Forskningsfond (Aarhus University Research Foundation, https://auff.au.dk/en/) (IR) The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.7009589
title: Supplementary Materials for "Food security in Roman Palmyra (Syria) in light of paleoclimatological evidence and its historical implications"

description: Contained here are the SI files for the article "Food security in Roman Palmyra (Syria) in light of paleoclimatological evidence and its historical implications". With all the materials contained here, as well as the openly accessible datasets cited in S1_File, every step of the study can be reproduced. Detailed instructions are contained within. Includes code for Data Analysis. Article DOI: [forthcoming]
description: This article has been funded by the following grants (initials of the receiving authors in brackets): - Circular Economy and Urban Sustainability in Antiquity: The Case of Palmyra, Carlsbergfondet (The Carlsberg Foundation, https://www.carlsbergfondet.dk/en), grant no. CF19-0061. (RR) - Circular Economy and Urban Sustainability in Antiquity: The Case of Palmyra, Augustinus Fonden (The Augustinus Foundation, https://augustinusfonden.dk/), grant no. 19-3548. (RR) - Palmyra Portrait Project, Carlsbergfondet (The Carlsberg Foundation, https://www.carlsbergfondet.dk/en), grant no. CF15-0493. (RR) - Centre for Urban Network Evolutions (UrbNet), Danmarks Grundforskningsfond (The Danish National Research Foundation, https://dg.dk/en/), grant no. DNRF-119. (RR). - European Union's Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Actions (https://marie-sklodowska-curie-actions.ec.europa.eu/), grant agreement no. 754513 (IR) - Aarhus Universitets Forskningsfond (Aarhus University Research Foundation, https://auff.au.dk/en/) (IR) The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.6959991
title: Local ecological knowledge provides novel evidence on threats and declines for the Caucasian grouse (Lyrurus mlokosiewiczi) in Arasbaran Biosphere Reserve, Iran

description: The Caucasian grouse (<em>Lyrurus</em> <em>mlokosiewiczi</em>), one of the most poorly known species of grouse, is experiencing population declines associated with multiple threats. Evaluating species’ population status in relation to different local human activities is important to inform conservation and identify suitable management methods, but determining status and threats for poorly-known taxa may require assessment of non-standard sources of ecological information.
DOI: 10.5281/zenodo.6959990
title: Local ecological knowledge provides novel evidence on threats and declines for the Caucasian grouse (Lyrurus mlokosiewiczi) in Arasbaran Biosphere Reserve, Iran

description: The Caucasian grouse (<em>Lyrurus</em> <em>mlokosiewiczi</em>), one of the most poorly known species of grouse, is experiencing population declines associated with multiple threats. Evaluating species’ population status in relation to different local human activities is important to inform conservation and identify suitable management methods, but determining status and threats for poorly-known taxa may require assessment of non-standard sources of ecological information.